Academic literature on the topic 'Non-melanoma skin cancer'

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Journal articles on the topic "Non-melanoma skin cancer"

1

TAKAHASHI, Akira. "Chemotherapy for non-melanoma skin cancers." Skin Cancer 24, no. 3 (2009): 504–9. http://dx.doi.org/10.5227/skincancer.24.504.

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2

Kearsley, John H. "Non‐melanoma skin cancer." Medical Journal of Australia 165, no. 4 (August 1996): 235. http://dx.doi.org/10.5694/j.1326-5377.1996.tb124941.x.

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3

Czarnecki, D. "Non‐melanoma skin cancer." Medical Journal of Australia 165, no. 4 (August 1996): 235. http://dx.doi.org/10.5694/j.1326-5377.1996.tb124942.x.

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4

Marks, Robin. "Non‐melanoma skin cancer." Medical Journal of Australia 165, no. 4 (August 1996): 235–38. http://dx.doi.org/10.5694/j.1326-5377.1996.tb124943.x.

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5

Walker, Harriet S., and Joseph Hardwicke. "Non-melanoma skin cancer." Surgery (Oxford) 40, no. 1 (January 2022): 39–45. http://dx.doi.org/10.1016/j.mpsur.2021.11.004.

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6

Mora, Ricardo G. "Non-Melanoma Skin Cancer." Primary Care: Clinics in Office Practice 16, no. 3 (September 1989): 665–84. http://dx.doi.org/10.1016/s0095-4543(21)01335-x.

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7

Reyes-Álvarez, Marta, Gonzalo Blasco-Morente, and Antonia Aránega-Jiménez. "Non-melanoma skin cancer." ACTUALIDAD MEDICA 103, no. 803 (April 30, 2018): 32–38. http://dx.doi.org/10.15568/am.2018.803.re01.

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8

Griffin, Liezel L., Faisal Rehman Ali, and John T. Lear. "Non-melanoma skin cancer." Clinical Medicine 16, no. 1 (February 2016): 62–65. http://dx.doi.org/10.7861/clinmedicine.16-1-62.

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9

Madan, Vishal, John T. Lear, and Rolf-Markus Szeimies. "Non-melanoma skin cancer." Lancet 375, no. 9715 (February 2010): 673–85. http://dx.doi.org/10.1016/s0140-6736(09)61196-x.

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10

Harvey, I., D. Shalom, R. M. Marks, and S. J. Frankel. "Non-melanoma skin cancer." BMJ 299, no. 6708 (November 4, 1989): 1118–20. http://dx.doi.org/10.1136/bmj.299.6708.1118.

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Dissertations / Theses on the topic "Non-melanoma skin cancer"

1

Ashton, Kevin John, and K. Ashton@griffith edu au. "Genetic Aberrations in Non-Melanoma Skin Cancer." Griffith University. School of Health Science, 2002. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030818.122305.

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Genetic changes are hallmarks of cancer development involving the activation and/or inactivation of oncogenes and tumour suppressor genes, respectively. In non-melanoma skin cancer (NMSC) development, the initiation of genetic mutations results from exposure to solar ultraviolet radiation. Non-melanoma skin cancers are comprised of basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). Several related cutaneous lesions also exist, of which solar keratoses (SK) are widely accepted as a precursor dysplasia to SCC development. The study of recurrent genetic changes present within NMSC and SK should help reveal causative mutations in skin cancer development. Such analysis could also elucidate links in the genetic similarity of these dysplasia. The rapid screening of numerical changes in DNA sequence copy number throughout the entire genome has been made possible by the advent of comparative genomic hybridisation (CGH). This technique enables the identification of net gains and loss of genetic material within a tumour DNA sample. Chromosomal regions of recurrent gain or loss identify loci containing putative oncogenes and tumour suppressor genes, respectively with potential roles in NMSC tumourigenesis. Used in conjunction with tissue microdissection and universal degenerate PCR techniques this can enable the elucidation of aberrations in small histologically distinct regions of tumour. Such a technique can utilize archival material such as paraffin embedded tissue, which is the major source of neoplastic material available for cancer research. This study used the CGH technique to investigate aberrations in BCC, SCC and SK samples. The screening of copy number abnormalities (CNAs) in BCC revealed that although these tumours were close to diploid and generally genetically stable, they did contain several recurrent aberrations. The loss of genetic material at 9q was identified in a third of BCC tumours studied. This is characteristic of inactivation of the PTCH tumour suppressor gene, a known attribute in some sporadic BCC development. Validation of this loss was performed via loss of heterozygosity, demonstrating good concordance with the CGH data. In addition the over-representation of the 6p chromosome arm was revealed in 47% of biopsies. This novel CNA is also commonly observed in other cutaneous neoplasias, including Merkel cell carcinoma and malignant melanoma. This suggests a possible common mechanism in development and or promotion in these cutaneous dysplasias, the mechanisms of which have yet to be clearly defined. In contrast to BCC, numerical genetic aberrations in SCC and SK were much more frequent. Several regions of recurrent gain were commonly shared between both dysplasias including gain of 3q, 4p, 5p, 8q, 9q, 14q, 17p, 17q and 20q. Common chromosomal regions of loss included 3p, 8p, 9p, 11p, 13q and 17p. In addition loss of chromosome 18 was significantly observed in SCC in comparison to SK, a possible defining event in SK progression to SCC. The identification of shared genetic aberrations suggests a clonal and genetic relationship between the two lesions. This information further supports the notion for re-classification of SK to an SCC in situ or superficial SCC. Finally, the CNAs detected have been similarly observed in other squamous cell-derived tumours, for example cervical and head and neck SCC. This provides further evidence to common mechanisms involved in the initiation, development and progression of SCC neoplasia. This study has identified a number of recurrent chromosomal regions, some of which are novel in NMSC development. The further delineation of these loci should provide additional evidence of their significance and degree of involvement in NMSC tumourigenesis. The identification of the cancer-causing genes mapped to these loci will further demarcate the genetic mechanisms of BCC and SCC progression. An understanding of the events involved in skin cancer formation and progression should shed additional light on molecular targets for diagnostics, management and therapeutic treatment.
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2

Carless, Melanie, and n/a. "Molecular Analysis of Non-Melanoma Skin Cancer." Griffith University. School of Health Science, 2004. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20041101.123114.

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Abstract:
Non-melanoma skin cancer (NMSC) is the most common cancer in the world with a lifetime risk for development as high as 2 in 3 in Queensland, Australia. Mortality is quite low, representing an approximate 360 deaths in Australia annually but cost of treatment is extremely high, estimated at $232 million each year. Squamous cell carcinoma (SCC) and basal cell carcinoma (BCC) are the two most common forms of NMSC. Although BCC generally do not have the propensity to metastasise, they are highly invasive and can be locally destructive. SCC on the other hand is invasive and has metastatic potential. SCC is generally derived from a precursor lesion, solar keratosis (SK), which is also considered to be a biomarker of BCC, SCC and malignant melanoma. According to one theory, SKs actually represent the first recognisable stage of SCC development and therefore may be indicative of the earliest stage of NMSC development. In addition to these common forms of NMSC, rarer forms such as keratoacanthoma (KA), which spontaneously regress, and SCC in situ, which rarely become invasive, may provide clues into protective mechanisms associated with prevention of development. Like all other cancers, NMSC arises from an accumulation of genetic abnormalities that result in severe cellular dysfunction. A number of genes have been proposed in the development of NMSC, including p53, CDKN2a, Bcl-2 and the Ras family of genes, which are typically associated with proliferative and differentiation processes. Also, a number of genetic disorders that predispose individuals to NMSC have also been identified. Genetic abnormalities in these genes may be a result of somatic mutations that may be promoted by environmental carcinogens. For NMSC, ultraviolet (UV) radiation is the primary environmental stimulus that acts upon skin to generate mutations. UV effects are 2-fold; the first being direct damage produced by UVB radiation and the second being indirect damage as a result of UVA-induced oxidative stress. In addition to mutations of genes that directly result in carcinogenesis, polymorphic variants of genes may also play a role in susceptibility to NMSC. These susceptibility genes may have immunogenic, detoxifying or transcriptional roles that could be involved in increased mutagenesis or activation of cancer causing genes. The purpose of this study was ultimately to identify further molecular based mechanisms associated with the development of non-melanoma skin cancer. Initially, this study aimed to examine the effects of aberrant chromosomal regions on NMSC development and also to identify candidate genes within these regions that may be implicated in the development and progression of NMSC. Also, based on chromosomal and functional implications, a number of candidate genes were assessed using association analysis to determine their involvement in susceptibility to the earliest stages of NMSC development. Implicated susceptibility genes were then further investigated to determine their response to UV radiation. Therefore the methodological approach of these studies was based on three broad technical applications of cytogenetic, association and expression analyses. Previous comparative genomic hybridisation (CGH) studies implicated the 18q chromosomal region in progression of SK to SCC and this region was therefore suspected of harbouring one or more tumour suppressor genes that were associated with a more malignant phenotype. Following on from this analysis, loss of heterozygosity (LOH) analysis was used for further delineation of this region and possibly to implicate candidate genes involved in progression. Additionally, CGH was used to investigate keratoacanthoma to determine aberrant regions that might be involved in progression and also regression of this NMSC. Genes that had potential functional roles in NMSC development and that were located in or near regions implicated by these cytogenetic analyses were further investigated using association analysis. Association analysis was performed using polymerase chain reaction and subsequent restriction enzyme digestion or GeneScan analysis to determine genotype and allele frequencies in an SK affected versus control population for polymorphisms within a number of candidate genes. This population was carefully phenotyped so that not only genotypic factors could be analysed but also their interaction with a number of phenotypic and environmental risk factors. Genes with polymorphisms that did show association with solar keratosis development were then examined functionally. Specifically, gene expression analysis was undertaken to investigate their response to UV radiation. Both UVA only and combined UVA/UVB treatments were used for short term irradiation and also for long term irradiation with recovery to determine differential effects of UV range and dose in human skin. Relative mRNA expression analysis of these genes was performed using quantitative real time reverse transcription polymerase chain reaction to determine if UV radiation imposed gene expression changes in the skin. A combination of these methodologies provided a wide basis for investigation of NMSC. Cytogenetic, association and expression analyses all allow for the identification of molecular risk factors that cause or are associated with NMSC development and progression. These analyses provided diverse results that implicated various molecular mechanisms in the development of NMSC. Cytogenetic analysis is a powerful technique, especially for the identification of a broad range of aberrations throughout the genome. This study employed LOH analysis to investigate an implicated region involved in progression to SCC and to attempt identification of candidate genes that may be involved in this process. LOH analysis was successfully performed on 9 SCCs, 5 SCCs in situ and 2 SKs using 8 microsatellite markers within the 18q region. Polymerase chain reaction (PCR) was used to amplify polymorphic regions of these markers and genotypic composition was determined for normal and cancerous tissue within the specimen. In heterozygote individuals, determined by analysis of normal tissue, the cancerous tissue was examined to determine if alleles within the implicated region had been lost. However, after analysis of multiple different samples, there was no LOH detected in any of the samples examined for this analysis. This does not necessarily reject a role for 18q, or genes within this region, as the localisation of candidate tumour suppressor genes within a small region may indicate a tighter region of involvement than was expected. As such, a more targeted study may further delineate this region and implicate candidate genes in progression of SK to the more malignant phenotype of SCC. Further CGH analysis of keratoacanthoma was also undertaken to identify aberrations associated with development and also regression of this skin cancer. CGH was performed using universal amplification and nick translation to incorporate a fluorescent dye. Differentially labelled normal and tumour DNA were then competitively hybridised to a normal metaphase spread and fluorescence emission indicated either amplification or deletion of specific chromosomal regions. In total, 6 KA samples were analysed, with 2 samples each from evolving, matured and regressing stages of KA development. In general, regressing KAs appeared to be more highly associated with deleted regions than evolving and matured KAs. Specifically, the 15q chromosomal region that was deleted in regressing KAs but amplified in evolving or matured KAs, may be significantly involved in the process of KA regression. Also various candidate genes that were being considered for analysis were located in or near some of these implicated regions, including GSTM1, GSTP1 and SSTR2. As such, these candidate genes were targeted for further investigation. A number of susceptibility genes that were located in or near aberrant regions implicated in NMSC development were investigated using association analysis. These genes included members of the somatostatin receptor family (SSTR1 and SSTR2), members of the glutathione-S-transferase (GST) family (GSTM1, GSTT1, GSTP1 and GSTZ1) and the vitamin D receptor (VDR). Studies detected a number of interesting interactions between genetic, environmental and phenotypic factors in the development of the early stages of non-melanoma skin cancer. Additionally, genes implicated in NMSC development were further investigated using expression analysis to determine response to UV radiation. Association analysis was initially performed on members of the somatostatin receptor family. Somatostatin is a growth inhibiting factor, amongst other things, that mediates its actions through the somatostatin receptors (SSTRs). The presence of these receptors (SSTR1-5) in tumour cells indicates a potential for somatostatin to bind and suppress growth, as well as allowing for therapeutic treatment with somatostatin analogues. Additionally, expression of these receptors in normal tissue, including skin, should allow for potential protection against tumour growth. The genes for SSTR1 and SSTR2 have been shown to contain dinucleotide repeat polymorphisms, and although these polymorphisms may not directly result in altered expression or binding potential, they may be linked to another functional polymorphism that does. Using association analysis the SSTR1 and SSTR2 genes were investigated to determine whether they play a role in the development of solar keratosis. Results showed that there were no significant differences between SSTR1 and SSTR2 polymorphism frequencies in the tested solar keratosis population (P = 0.10 and P = 0.883, respectively) as compared to an unaffected population. Hence, these studies do not support a role for the SSTR1 or SSTR2 genes in solar keratosis development. Further association analysis and subsequent expression analysis was also performed on members of the glutathione-S-transferase family. The GST enzymes play a role in the detoxification of a number of carcinogens and mutagens, including those produced by UV-induced oxidative stress. This study examined the role of GSTM1, GSTT1, GSTP1 and GSTZ1 gene polymorphisms in susceptibility to SK development. Association analysis was performed to detect allele and genotype frequency differences in SK affected and control populations using PCR and restriction enzyme digestion. No significant differences were detected in GSTP1 and GSTZ1 allele or genotype frequencies, however polymorphisms within both genes were found to be in linkage disequilibrium, as previously reported, and a new allelic variant of the GSTZ1 gene was identified. Significant associations between GSTM1 (P = 0.003) and GSTT1 (P = 0.039) genotypes and SK development were detected, with the null variants of both genes conferring an approximate 2-fold increase in risk for solar keratosis development (OR: 2.1; CI: 1.3-3.5 and OR: 2.3; CI: 1.0-5.0 for GSTM1 and GSTT1, respectively). For the GSTM1 gene, this risk was significantly higher in conjunction with high outdoor exposure (OR: 3.4; CI: 1.9-6.3) and although the GSTT1 gene showed a similar trend (OR: 2.9; CI: 1.1-7.7), this did not reach significance. The increased risk of SK development associated with these genes is likely due to a decreased ability of the skin to detoxify mutagenic compounds produced by UV-induced oxidative stress, and hence a decreased ability to protect against carcinogenesis. Implication of the GSTM1 and GSTT1 null variants in solar keratosis development prompted interest in analysis of gene expression changes in response to UV radiation. Due to the high homology of the GSTM1 gene with other GSTM genes, and therefore potential issues with primer specificity, the GSTT1 gene was focussed on for the expression studies. Real time reverse transcription PCR, incorporating SYBR green fluorescence and 18S as a comparative gene, was used to study GSTT1 gene expression changes in response to both UVA and combined UVA/UVB radiation. It was found that only short term UV radiation had an effect on GSTT1 expression changes, whereas no alteration of gene expression was seen after 4 and 12 hours of recovery from long term irradiation between irradiated and matched non-irradiated skin samples. This indicated that changes in gene expression for the GSTT1 gene apparently occur relatively quickly after exposure to UV radiation. Analysis of both UVA only and combined UVA/UVB short term irradiation indicated that an initial decrease in expression, followed by an increase was likely to represent translation into protein and subsequent transcription of mRNA, and in some cases a second decrease indicated further translation. Hence, it appears as though UV radiation does have a significant effect on the expression of at least one GST gene, and that UV radiation in combination with genetic variation of these genes may play a role in the development of NMSC. Finally, association and subsequent expression analysis was also performed on the vitamin D receptor. The hormonal form of vitamin D, 1a25 dihydroxyvitamin D3, has been shown to have numerous cancer-related effects, including antiproliferative, differentiation, proapoptotic and antiangiogenic effects. These effects are mediated through the binding of 1a25 dihydroxyvitamin D3 to the vitamin D receptor and subsequent transcriptional pathways. Polymorphisms within the VDR are known to regulate its transcription and therefore expression, which is linked to the ability of 1a25 dihydroxyvitamin D3 to bind. Association analysis of a 5’ initiation codon variant (Fok I) and two 3’ variants (Apa I and Taq I) was performed in SK affected and control populations. Although the Fok I variant showed no association with SK development, both the Apa I and Taq I variants were found to be associated with SK development (P = 0.043 and P = 0.012, respectively). In particular, the Aa and Tt genotypes were associated with increased risk of SK. These results were however more complicated, as shown by further analysis. This showed that genotypes containing at least one allele that conferred decreased VDR transcription (ie. AA/Aa and Tt/tt) increased risk of SK development by 2-fold in fair skinned individuals (OR: 2.1; CI: 1.2-3.7 and OR: 1.7; CI: 1.1-2.7 for Apa I and Taq I variants, respectively) but also found to decrease the risk of SK development by 2-fold in medium skinned individuals (OR: 0.5; CI: 0.3-1.0 for Apa I variants). Additionally, genotypes containing 2 alleles conferring decreased transcription of the VDR gene were found to further increase the risk for SK development in fair skinned individuals (OR: 2.5; CI: 1.4-4.5 and OR: 2.4; CI: 1.2-5.0 for Apa I and Taq I variants, respectively), indicating a possible additive effect for the alleles. The highly differential association of the VDR gene polymorphisms amongst phenotypes may reflect a combination between the ability of an individual to synthesise 1a25 dihydroxyvitamin D3 with the binding availability of the VDR. To further investigate the role of VDR in NMSC, expression analysis of the VDR gene was undertaken using real time reverse transcription PCR, with SYBR green fluorescence and 18S as a comparative gene, to examine expression pattern changes associated with UV radiation. It was found that short term irradiation, as well as long term irradiation and recovery were associated with gene expression changes. Short term irradiation resulted in patterns indicative of translation and subsequent transcription, whereas long term irradiated samples resulted in reduction of VDR expression that was recovered after an extended period of time. Thus, VDR expression is clearly influenced by UV exposure. It would be very interesting to see more specifically if particular VDR genotypes, which appear to play a role in NMSC risk, also are affected differentially by UV exposure. It is possible that VDR expression is reduced to limit excessive binding of 1a25 dihydroxyvitamin D3, although since both UVA and UVB radiation affect VDR expression, this may not be mediated the effect of 1a25 dihydroxyvitamin D3 but rather a different pathway resulting from a general UV response. In summary, the detection of a number of susceptibility genes involved in SK development and their subsequent expression analysis in response to UV radiation has given further insight into the molecular changes associated with NMSC. In fact, both detoxification genes (GSTM1 and GSTT1) and a transcription related gene (VDR), were found to confer susceptibility to solar keratosis, an early stage skin lesion with tumourigenic potential. This suggests that even the earliest stages of skin cancer are mediated through a wide range of effects. Additionally, expression changes related to these genes indicate that they are associated with the well known environmental carcinogen of UV radiation and that their effects may be mediated through a wide range of pathways. Although implication of the 18q region in SCC progression was not confirmed in this study, it is still likely to play a role in malignant transformation. The implication of this region, as well as the implication of susceptibility genes has vastly increased knowledge into processes associated with NMSC. Although additional analysis can confirm and further implicate these molecular alterations, this study has resulted in a more comprehensive understanding of NMSC that may ultimately be of benefit in terms of prognosis and treatment.
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3

Carless, Melanie. "Molecular Analysis of Non-Melanoma Skin Cancer." Thesis, Griffith University, 2004. http://hdl.handle.net/10072/367527.

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Abstract:
Non-melanoma skin cancer (NMSC) is the most common cancer in the world with a lifetime risk for development as high as 2 in 3 in Queensland, Australia. Mortality is quite low, representing an approximate 360 deaths in Australia annually but cost of treatment is extremely high, estimated at $232 million each year. Squamous cell carcinoma (SCC) and basal cell carcinoma (BCC) are the two most common forms of NMSC. Although BCC generally do not have the propensity to metastasise, they are highly invasive and can be locally destructive. SCC on the other hand is invasive and has metastatic potential. SCC is generally derived from a precursor lesion, solar keratosis (SK), which is also considered to be a biomarker of BCC, SCC and malignant melanoma. According to one theory, SKs actually represent the first recognisable stage of SCC development and therefore may be indicative of the earliest stage of NMSC development. In addition to these common forms of NMSC, rarer forms such as keratoacanthoma (KA), which spontaneously regress, and SCC in situ, which rarely become invasive, may provide clues into protective mechanisms associated with prevention of development. Like all other cancers, NMSC arises from an accumulation of genetic abnormalities that result in severe cellular dysfunction. A number of genes have been proposed in the development of NMSC, including p53, CDKN2a, Bcl-2 and the Ras family of genes, which are typically associated with proliferative and differentiation processes. Also, a number of genetic disorders that predispose individuals to NMSC have also been identified. Genetic abnormalities in these genes may be a result of somatic mutations that may be promoted by environmental carcinogens. For NMSC, ultraviolet (UV) radiation is the primary environmental stimulus that acts upon skin to generate mutations. UV effects are 2-fold; the first being direct damage produced by UVB radiation and the second being indirect damage as a result of UVA-induced oxidative stress. In addition to mutations of genes that directly result in carcinogenesis, polymorphic variants of genes may also play a role in susceptibility to NMSC. These susceptibility genes may have immunogenic, detoxifying or transcriptional roles that could be involved in increased mutagenesis or activation of cancer causing genes. The purpose of this study was ultimately to identify further molecular based mechanisms associated with the development of non-melanoma skin cancer. Initially, this study aimed to examine the effects of aberrant chromosomal regions on NMSC development and also to identify candidate genes within these regions that may be implicated in the development and progression of NMSC. Also, based on chromosomal and functional implications, a number of candidate genes were assessed using association analysis to determine their involvement in susceptibility to the earliest stages of NMSC development. Implicated susceptibility genes were then further investigated to determine their response to UV radiation. Therefore the methodological approach of these studies was based on three broad technical applications of cytogenetic, association and expression analyses. Previous comparative genomic hybridisation (CGH) studies implicated the 18q chromosomal region in progression of SK to SCC and this region was therefore suspected of harbouring one or more tumour suppressor genes that were associated with a more malignant phenotype. Following on from this analysis, loss of heterozygosity (LOH) analysis was used for further delineation of this region and possibly to implicate candidate genes involved in progression. Additionally, CGH was used to investigate keratoacanthoma to determine aberrant regions that might be involved in progression and also regression of this NMSC. Genes that had potential functional roles in NMSC development and that were located in or near regions implicated by these cytogenetic analyses were further investigated using association analysis. Association analysis was performed using polymerase chain reaction and subsequent restriction enzyme digestion or GeneScan analysis to determine genotype and allele frequencies in an SK affected versus control population for polymorphisms within a number of candidate genes. This population was carefully phenotyped so that not only genotypic factors could be analysed but also their interaction with a number of phenotypic and environmental risk factors. Genes with polymorphisms that did show association with solar keratosis development were then examined functionally. Specifically, gene expression analysis was undertaken to investigate their response to UV radiation. Both UVA only and combined UVA/UVB treatments were used for short term irradiation and also for long term irradiation with recovery to determine differential effects of UV range and dose in human skin. Relative mRNA expression analysis of these genes was performed using quantitative real time reverse transcription polymerase chain reaction to determine if UV radiation imposed gene expression changes in the skin. A combination of these methodologies provided a wide basis for investigation of NMSC. Cytogenetic, association and expression analyses all allow for the identification of molecular risk factors that cause or are associated with NMSC development and progression. These analyses provided diverse results that implicated various molecular mechanisms in the development of NMSC. Cytogenetic analysis is a powerful technique, especially for the identification of a broad range of aberrations throughout the genome. This study employed LOH analysis to investigate an implicated region involved in progression to SCC and to attempt identification of candidate genes that may be involved in this process. LOH analysis was successfully performed on 9 SCCs, 5 SCCs in situ and 2 SKs using 8 microsatellite markers within the 18q region. Polymerase chain reaction (PCR) was used to amplify polymorphic regions of these markers and genotypic composition was determined for normal and cancerous tissue within the specimen. In heterozygote individuals, determined by analysis of normal tissue, the cancerous tissue was examined to determine if alleles within the implicated region had been lost. However, after analysis of multiple different samples, there was no LOH detected in any of the samples examined for this analysis. This does not necessarily reject a role for 18q, or genes within this region, as the localisation of candidate tumour suppressor genes within a small region may indicate a tighter region of involvement than was expected. As such, a more targeted study may further delineate this region and implicate candidate genes in progression of SK to the more malignant phenotype of SCC. Further CGH analysis of keratoacanthoma was also undertaken to identify aberrations associated with development and also regression of this skin cancer. CGH was performed using universal amplification and nick translation to incorporate a fluorescent dye. Differentially labelled normal and tumour DNA were then competitively hybridised to a normal metaphase spread and fluorescence emission indicated either amplification or deletion of specific chromosomal regions. In total, 6 KA samples were analysed, with 2 samples each from evolving, matured and regressing stages of KA development. In general, regressing KAs appeared to be more highly associated with deleted regions than evolving and matured KAs. Specifically, the 15q chromosomal region that was deleted in regressing KAs but amplified in evolving or matured KAs, may be significantly involved in the process of KA regression. Also various candidate genes that were being considered for analysis were located in or near some of these implicated regions, including GSTM1, GSTP1 and SSTR2. As such, these candidate genes were targeted for further investigation. A number of susceptibility genes that were located in or near aberrant regions implicated in NMSC development were investigated using association analysis. These genes included members of the somatostatin receptor family (SSTR1 and SSTR2), members of the glutathione-S-transferase (GST) family (GSTM1, GSTT1, GSTP1 and GSTZ1) and the vitamin D receptor (VDR). Studies detected a number of interesting interactions between genetic, environmental and phenotypic factors in the development of the early stages of non-melanoma skin cancer. Additionally, genes implicated in NMSC development were further investigated using expression analysis to determine response to UV radiation. Association analysis was initially performed on members of the somatostatin receptor family. Somatostatin is a growth inhibiting factor, amongst other things, that mediates its actions through the somatostatin receptors (SSTRs). The presence of these receptors (SSTR1-5) in tumour cells indicates a potential for somatostatin to bind and suppress growth, as well as allowing for therapeutic treatment with somatostatin analogues. Additionally, expression of these receptors in normal tissue, including skin, should allow for potential protection against tumour growth. The genes for SSTR1 and SSTR2 have been shown to contain dinucleotide repeat polymorphisms, and although these polymorphisms may not directly result in altered expression or binding potential, they may be linked to another functional polymorphism that does. Using association analysis the SSTR1 and SSTR2 genes were investigated to determine whether they play a role in the development of solar keratosis. Results showed that there were no significant differences between SSTR1 and SSTR2 polymorphism frequencies in the tested solar keratosis population (P = 0.10 and P = 0.883, respectively) as compared to an unaffected population. Hence, these studies do not support a role for the SSTR1 or SSTR2 genes in solar keratosis development. Further association analysis and subsequent expression analysis was also performed on members of the glutathione-S-transferase family. The GST enzymes play a role in the detoxification of a number of carcinogens and mutagens, including those produced by UV-induced oxidative stress. This study examined the role of GSTM1, GSTT1, GSTP1 and GSTZ1 gene polymorphisms in susceptibility to SK development. Association analysis was performed to detect allele and genotype frequency differences in SK affected and control populations using PCR and restriction enzyme digestion. No significant differences were detected in GSTP1 and GSTZ1 allele or genotype frequencies, however polymorphisms within both genes were found to be in linkage disequilibrium, as previously reported, and a new allelic variant of the GSTZ1 gene was identified. Significant associations between GSTM1 (P = 0.003) and GSTT1 (P = 0.039) genotypes and SK development were detected, with the null variants of both genes conferring an approximate 2-fold increase in risk for solar keratosis development (OR: 2.1; CI: 1.3-3.5 and OR: 2.3; CI: 1.0-5.0 for GSTM1 and GSTT1, respectively). For the GSTM1 gene, this risk was significantly higher in conjunction with high outdoor exposure (OR: 3.4; CI: 1.9-6.3) and although the GSTT1 gene showed a similar trend (OR: 2.9; CI: 1.1-7.7), this did not reach significance. The increased risk of SK development associated with these genes is likely due to a decreased ability of the skin to detoxify mutagenic compounds produced by UV-induced oxidative stress, and hence a decreased ability to protect against carcinogenesis. Implication of the GSTM1 and GSTT1 null variants in solar keratosis development prompted interest in analysis of gene expression changes in response to UV radiation. Due to the high homology of the GSTM1 gene with other GSTM genes, and therefore potential issues with primer specificity, the GSTT1 gene was focussed on for the expression studies. Real time reverse transcription PCR, incorporating SYBR green fluorescence and 18S as a comparative gene, was used to study GSTT1 gene expression changes in response to both UVA and combined UVA/UVB radiation. It was found that only short term UV radiation had an effect on GSTT1 expression changes, whereas no alteration of gene expression was seen after 4 and 12 hours of recovery from long term irradiation between irradiated and matched non-irradiated skin samples. This indicated that changes in gene expression for the GSTT1 gene apparently occur relatively quickly after exposure to UV radiation. Analysis of both UVA only and combined UVA/UVB short term irradiation indicated that an initial decrease in expression, followed by an increase was likely to represent translation into protein and subsequent transcription of mRNA, and in some cases a second decrease indicated further translation. Hence, it appears as though UV radiation does have a significant effect on the expression of at least one GST gene, and that UV radiation in combination with genetic variation of these genes may play a role in the development of NMSC. Finally, association and subsequent expression analysis was also performed on the vitamin D receptor. The hormonal form of vitamin D, 1a25 dihydroxyvitamin D3, has been shown to have numerous cancer-related effects, including antiproliferative, differentiation, proapoptotic and antiangiogenic effects. These effects are mediated through the binding of 1a25 dihydroxyvitamin D3 to the vitamin D receptor and subsequent transcriptional pathways. Polymorphisms within the VDR are known to regulate its transcription and therefore expression, which is linked to the ability of 1a25 dihydroxyvitamin D3 to bind. Association analysis of a 5Â’ initiation codon variant (Fok I) and two 3Â’ variants (Apa I and Taq I) was performed in SK affected and control populations. Although the Fok I variant showed no association with SK development, both the Apa I and Taq I variants were found to be associated with SK development (P = 0.043 and P = 0.012, respectively). In particular, the Aa and Tt genotypes were associated with increased risk of SK. These results were however more complicated, as shown by further analysis. This showed that genotypes containing at least one allele that conferred decreased VDR transcription (ie. AA/Aa and Tt/tt) increased risk of SK development by 2-fold in fair skinned individuals (OR: 2.1; CI: 1.2-3.7 and OR: 1.7; CI: 1.1-2.7 for Apa I and Taq I variants, respectively) but also found to decrease the risk of SK development by 2-fold in medium skinned individuals (OR: 0.5; CI: 0.3-1.0 for Apa I variants). Additionally, genotypes containing 2 alleles conferring decreased transcription of the VDR gene were found to further increase the risk for SK development in fair skinned individuals (OR: 2.5; CI: 1.4-4.5 and OR: 2.4; CI: 1.2-5.0 for Apa I and Taq I variants, respectively), indicating a possible additive effect for the alleles. The highly differential association of the VDR gene polymorphisms amongst phenotypes may reflect a combination between the ability of an individual to synthesise 1a25 dihydroxyvitamin D3 with the binding availability of the VDR. To further investigate the role of VDR in NMSC, expression analysis of the VDR gene was undertaken using real time reverse transcription PCR, with SYBR green fluorescence and 18S as a comparative gene, to examine expression pattern changes associated with UV radiation. It was found that short term irradiation, as well as long term irradiation and recovery were associated with gene expression changes. Short term irradiation resulted in patterns indicative of translation and subsequent transcription, whereas long term irradiated samples resulted in reduction of VDR expression that was recovered after an extended period of time. Thus, VDR expression is clearly influenced by UV exposure. It would be very interesting to see more specifically if particular VDR genotypes, which appear to play a role in NMSC risk, also are affected differentially by UV exposure. It is possible that VDR expression is reduced to limit excessive binding of 1a25 dihydroxyvitamin D3, although since both UVA and UVB radiation affect VDR expression, this may not be mediated the effect of 1a25 dihydroxyvitamin D3 but rather a different pathway resulting from a general UV response. In summary, the detection of a number of susceptibility genes involved in SK development and their subsequent expression analysis in response to UV radiation has given further insight into the molecular changes associated with NMSC. In fact, both detoxification genes (GSTM1 and GSTT1) and a transcription related gene (VDR), were found to confer susceptibility to solar keratosis, an early stage skin lesion with tumourigenic potential. This suggests that even the earliest stages of skin cancer are mediated through a wide range of effects. Additionally, expression changes related to these genes indicate that they are associated with the well known environmental carcinogen of UV radiation and that their effects may be mediated through a wide range of pathways. Although implication of the 18q region in SCC progression was not confirmed in this study, it is still likely to play a role in malignant transformation. The implication of this region, as well as the implication of susceptibility genes has vastly increased knowledge into processes associated with NMSC. Although additional analysis can confirm and further implicate these molecular alterations, this study has resulted in a more comprehensive understanding of NMSC that may ultimately be of benefit in terms of prognosis and treatment.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Health Sciences
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Ashton, Kevin John. "Genetic Aberrations in Non-Melanoma Skin Cancer." Thesis, Griffith University, 2002. http://hdl.handle.net/10072/367012.

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Genetic changes are hallmarks of cancer development involving the activation and/or inactivation of oncogenes and tumour suppressor genes, respectively. In non-melanoma skin cancer (NMSC) development, the initiation of genetic mutations results from exposure to solar ultraviolet radiation. Non-melanoma skin cancers are comprised of basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). Several related cutaneous lesions also exist, of which solar keratoses (SK) are widely accepted as a precursor dysplasia to SCC development. The study of recurrent genetic changes present within NMSC and SK should help reveal causative mutations in skin cancer development. Such analysis could also elucidate links in the genetic similarity of these dysplasia. The rapid screening of numerical changes in DNA sequence copy number throughout the entire genome has been made possible by the advent of comparative genomic hybridisation (CGH). This technique enables the identification of net gains and loss of genetic material within a tumour DNA sample. Chromosomal regions of recurrent gain or loss identify loci containing putative oncogenes and tumour suppressor genes, respectively with potential roles in NMSC tumourigenesis. Used in conjunction with tissue microdissection and universal degenerate PCR techniques this can enable the elucidation of aberrations in small histologically distinct regions of tumour. Such a technique can utilize archival material such as paraffin embedded tissue, which is the major source of neoplastic material available for cancer research. This study used the CGH technique to investigate aberrations in BCC, SCC and SK samples. The screening of copy number abnormalities (CNAs) in BCC revealed that although these tumours were close to diploid and generally genetically stable, they did contain several recurrent aberrations. The loss of genetic material at 9q was identified in a third of BCC tumours studied. This is characteristic of inactivation of the PTCH tumour suppressor gene, a known attribute in some sporadic BCC development. Validation of this loss was performed via loss of heterozygosity, demonstrating good concordance with the CGH data. In addition the over-representation of the 6p chromosome arm was revealed in 47% of biopsies. This novel CNA is also commonly observed in other cutaneous neoplasias, including Merkel cell carcinoma and malignant melanoma. This suggests a possible common mechanism in development and or promotion in these cutaneous dysplasias, the mechanisms of which have yet to be clearly defined. In contrast to BCC, numerical genetic aberrations in SCC and SK were much more frequent. Several regions of recurrent gain were commonly shared between both dysplasias including gain of 3q, 4p, 5p, 8q, 9q, 14q, 17p, 17q and 20q. Common chromosomal regions of loss included 3p, 8p, 9p, 11p, 13q and 17p. In addition loss of chromosome 18 was significantly observed in SCC in comparison to SK, a possible defining event in SK progression to SCC. The identification of shared genetic aberrations suggests a clonal and genetic relationship between the two lesions. This information further supports the notion for re-classification of SK to an SCC in situ or superficial SCC. Finally, the CNAs detected have been similarly observed in other squamous cell-derived tumours, for example cervical and head and neck SCC. This provides further evidence to common mechanisms involved in the initiation, development and progression of SCC neoplasia. This study has identified a number of recurrent chromosomal regions, some of which are novel in NMSC development. The further delineation of these loci should provide additional evidence of their significance and degree of involvement in NMSC tumourigenesis. The identification of the cancer-causing genes mapped to these loci will further demarcate the genetic mechanisms of BCC and SCC progression. An understanding of the events involved in skin cancer formation and progression should shed additional light on molecular targets for diagnostics, management and therapeutic treatment.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Health Sciences
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Ramsay, Helen Mary. "Non-melanoma skin cancer in renal transplant recipients." Thesis, University of Birmingham, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408971.

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Ur-Rehman, Ishtiaq. "Genetic change in human non-melanoma skin cancer." Thesis, University of Newcastle Upon Tyne, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318260.

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Jones, Michael Howard. "Chromosomal rearrangement and mutation in non-melanoma skin cancer." Thesis, University of Newcastle Upon Tyne, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287141.

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Brownlie, Laura. "Differential gene expression studies in non-melanoma skin cancer." Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323449.

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Ben, Ketah Antsar. "Defining and targeting differentiation of non-melanoma skin cancer." Thesis, Cardiff University, 2014. http://orca.cf.ac.uk/64974/.

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Human cancer stem cells are proposed to play a critical role in tumour initiation and maintenance by their exclusive ability to regenerate the tumour. Thus cancer stem cells share many of the properties of normal stem cell including self-renewal and ability to give rise to progeny which undergo tissue-specific differentiation. Thus we hypothesised that by determining the normal patterns of tissue differentiation within cancer we could identify tumour type specific factors that promote differentiation, for therapeutic development. Therefore the aim of this study is to define patterns of human hair follicle differentiation in human basal cell carcinoma (BCC) in order to elucidate potential drug-able targets that can promote tumour specific differentiation. To test this hypothesis we analysed 20 different hair follicle specific differentiation markers, which define distinct layers within the normal adult hair, in six different human BCC samples using RT-PCR with normal hair follicle tissue as control. For the 12 specific keratin genes expressed in the BCC, we analysed expression by immunofluorescence on 20 different BCC samples, using hair follicle samples as positive controls. Our findings suggest that human BCC demonstrates both inward and upward differentiation patterns similar to the hair follicle, with expression of: outer root sheath (K5,14,16,and k17), companion layer (K75), inner root sheath (K26,27,28,71,72,and k74), and cuticle (K32,35,82,and k85); but not hair shaft (K31) markers. Consistent with these findings we observed the mutually exclusive relationship between expression of the early differentiation marker K19 and cell proliferation in the hair follicle and BCC. Similarly, expression of the outer root sheath keratins coincided with nuclear translocation of both GLI1 and NFIL-6, suggesting that BCC also share normal hair follicle tissue regulatory pathways. To further test the hypothesis that normal tissue factors observed in the hair follicle regulate BCC differentiation we have developed an in vitro BCC assay. Using this tissue culture model we hypothesised that BCC’s are stuck in the telogen part of the hair follicle cycle, resulting from autocrine expression of bone morphogenic proteins 2 and 4. Inhibition of BMP signalling by addition of noggin as well as addition of TGF-β to BCC colonies in tissue culture led to further induction of inner root sheath, cuticle and medulla keratins. In summary we have shown that BCC exhibit hair follicle differentiation, which is similarly regulated, but is stuck in telogen arrest and can be rescued by addition of noggin and TGF- β2.
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Li, Xin. "Genetics, Caffeine Consumption, Height and Non-Melanoma Skin Cancer." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:27201750.

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Non-melanoma skin cancer (NMSC), including basal and squamous cell carcinoma (BCC and SCC, respectively), is the most common malignancy among populations of European ancestry. It is estimated that over 2 million cases of NMSC occur each year in the United States, with the incidence continues to increase. This disease imposes a growing burden on healthcare system, making it an important public health issue. However, understanding of its etiology and biological mechanisms remains incomplete. In Chapter 1 of this dissertation, we applied a novel approach that integrates skin expression-related single-nucleotide polymorphisms (eSNPs) and pathway analysis to identify potential novel biological pathways that are associated with BCC risk. We evaluated the associations of skin eSNPs with BCC among 2,323 cases and 7,275 controls of European ancestry, and assigned them to the pathways defined by KEGG, GO, and BioCarta databases. Three KEGG pathways (colorectal cancer, regulation of actin cytoskeleton, and basal cell carcinoma) and two GO pathways (cellular component disassembly involved in apoptosis, and nucleus organization) showed significant association with BCC risk. Our results indicate that genes that are undetectable by conventional genome-wide association studies (GWASs) are significantly associated with risk of BCC as groups. In Chapter 2, we tested gene-caffeine consumption interaction on BCC risk in a genome-wide analysis. We determined that SNP rs142310826 shows a genome-wide significant interaction with caffeine consumption (p = 1.78x10-8 for interaction, p = 0.64 for heterogeneity between genders) on BCC risk. We also found several loci that modify the caffeine-BCC association differently in men and women. This study is proof of concept that inclusion of environmental factors can help identify genes that are missed in conventional GWASs. In Chapter 3, we prospectively examined the risk of SCC and BCC in relation to adult height. After controlling for potential confounding factors, the hazard ratios were 1.09 (95% CI: 1.03, 1.16) and 1.10 (95% CI: 1.07, 1.12) for the associations between every 10cm increase in height and risk of SCC and BCC respectively. However, no significant association was observed between height-related SNPs and risk of these diseases.
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Books on the topic "Non-melanoma skin cancer"

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Rembielak, Agata, and Luca Tagliaferri. Non-melanoma Skin Cancer. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003226017.

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Papadopoulos, Othon, Nikolaos A. Papadopulos, and Grigorios Champsas, eds. Non-Melanoma Skin Cancer and Cutaneous Melanoma. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-18797-2.

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Riffat, Faruque, Carsten E. Palme, and Michael Veness, eds. Non-melanoma Skin Cancer of the Head and Neck. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2497-6.

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Current Advances on Non-Melanoma Skin Cancer. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-0891-7.

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Non-Melanoma Skin Cancer: Essentials for Oncologists. CRC Press LLC, 2023.

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Rembielak, Agata, and Luca Tagliaferri. Non-Melanoma Skin Cancer: Essentials for Oncologists. Taylor & Francis Group, 2023.

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Rembielak, Agata, and Luca Tagliaferri. Non-Melanoma Skin Cancer: Essentials for Oncologists. Taylor & Francis Group, 2023.

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Rembielak, Agata, and Luca Tagliaferri. Non-Melanoma Skin Cancer: Essentials for Oncologists. Taylor & Francis Group, 2023.

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Matin, Rubeta, Jane McGregor, and Catherine Harwood. Skin cancer. Edited by Patrick Davey and David Sprigings. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199568741.003.0259.

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Skin cancer is very common in the UK, and its incidence is rising rapidly. There are two broad classes of primary skin cancer: non-melanoma and melanoma. Non-melanoma skin cancer is the commonest form (100 000 cases diagnosed annually in the UK), accounting for nine out of ten skin cancers and includes basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). Cutaneous melanoma is less common (10 000 cases diagnosed in the UK annually) but confers a significantly worse prognosis and accounts for 75% of skin cancer related deaths. There are also a number of other, rarer, non-melanoma skin cancers (e.g. appendageal carcinomas, Merkel cell carcinoma, sarcomas, vascular malignancies, and cutaneous lymphomas); however, these account for less than 1% of all skin cancers in the UK and so will not be specifically discussed in this chapter. Cutaneous metastases can occur secondary to any internal cancer or, indeed, to skin cancer (e.g. melanoma). In most cases, cutaneous metastasis occurs after the diagnosis of a primary cancer and usually in late stages of the disease but, in some cases, it may be the first presentation, in which case it should prompt a thorough investigation for the primary malignancy.
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Papadopoulos, Othon, Nikolaos A. Papadopulos, and Grigorios Champsas. Non-Melanoma Skin Cancer and Cutaneous Melanoma: Surgical Treatment and Reconstruction. Springer, 2020.

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Book chapters on the topic "Non-melanoma skin cancer"

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Mastrangelo, Mirco, Cristina Pellegrini, and Maria Concetta Fargnoli. "Biology of Skin Invasion and Skin Metastases." In Non-melanoma Skin Cancer, 1–14. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003226017-1.

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Keohane, Stephen. "Skin Biopsy for Non-Melanoma Skin Cancer." In Non-melanoma Skin Cancer, 101–10. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003226017-8.

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Lim, David W., Lu Yin, Jennifer M. Racz, Anthony Michael Joshua, Wadid W. K. Abadir, Marcus O. Butler, Joan E. Lipa, Alexander Sun, and Frances C. Wright. "Non-melanoma Skin Cancer." In Surgical Oncology Manual, 383–93. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48363-0_19.

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Buechner, S. A. "Non-melanoma Skin Cancer." In Strategies for Immunointerventions in Dermatology, 337–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60752-3_30.

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Racz, Jennifer, Anthony M. Joshua, Joan E. Lipa, Alexander Sun, and Frances C. Wright. "Non-melanoma Skin Cancer." In Surgical Oncology Manual, 225–32. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26276-5_17.

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Läuchli, Severin, Jürg Hafner, Günther F. L. Hofbauer, Antonio Cozzio, and Mirjana Urosevic-Maiwald. "Non-Melanoma Skin Cancer." In Skin Cancer - A World-Wide Perspective, 289–305. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-05072-5_22.

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Berneburg, Mark. "Non-melanoma Skin Cancer." In Nutrition for Healthy Skin, 25–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12264-4_3.

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Mangoni, Monica, Giulia Salvatore, Costanza Santini, Mauro Loi, Emanuela Olmetto, Gabriele Simontacchi, and Lorenzo Livi. "Radiobiology of the Skin and Non-Melanoma Skin Neoplasms." In Non-melanoma Skin Cancer, 177–94. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003226017-14.

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Craig, Sarah, and Amaya Virós. "Aetiology and Epidemiology of Non-Melanoma Skin Neoplasms." In Non-melanoma Skin Cancer, 25–36. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003226017-3.

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Joshi, Nikhil, James Broughman, Zachary Mayo, and Sandro Porceddu. "Post-Operative Radiation Therapy for Keratinocyte Carcinoma and Merkel Cell Carcinoma." In Non-melanoma Skin Cancer, 243–52. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003226017-17.

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Conference papers on the topic "Non-melanoma skin cancer"

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Regla-Felix, J. Eliseo B., Abel Hernandez-Guerrero, J. Luis Luviano-Ortiz, and Tomas Moreno-Torres. "Numerical Analysis of Depth and Sizing in Skin Cancer Lesions." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24626.

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Abstract Melanoma is one of the most common types of skin cancer that afflicts our society. Although melanoma accounts for 1% of the cases of skin cancer, due to its aggressiveness, it is responsible for most skin cancer-related deaths. Each year, approximately 132 000 new cases of melanoma are diagnosed worldwide, according to the World Health Organization, and just in USA an approximate of 7 230 people will die because of it. Early detection can lead to a significant reduction in melanoma death rates. Nowadays, there are various invasive and non-invasive detection methods of skin cancer. A type of non-invasive method uses an infrared thermal imaging camera, which can detect the difference in thermal behavior between healthy and malignant tissue during the thermal recovery process after a cooling stress applied to the skin. Such a thermal behavior can be simulated computationally, with a good approximation to reported case studies. This study proposes a numerical model that takes advantage of infrared thermal imaging to determine the effect of geometry and depth of the lesion with the cooling and recovery process using Design of Experiments (DoE). The results show that diameter and geometric shape of the lesion are the parameters that most influence the thermal response.
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Fanjul-Vélez, Félix, and José Luis Arce-Diego. "Nanoparticle-based photodynamic therapy on non-melanoma skin cancer." In Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XXVII, edited by David H. Kessel and Tayyaba Hasan. SPIE, 2018. http://dx.doi.org/10.1117/12.2290145.

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Geweid, Gamal G. N., Fartash Vasefi, and Kouhyar Tavakolian. "A Novel Nonparametric Technique for Segmenting Multimode Hyperspectral Images Obtained From Non-Melanoma Skin Cancer Lesions." In 2020 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dmd2020-9045.

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Abstract Keratinocyte Carcinoma, more traditionally known as Non-melanoma skin cancer (NMSC), is the most common cancer in humans. Incidence continues to increase despite increased public awareness of the harmful effects of solar radiation. In this paper, a non-parametric technique based on image registration will be applied to the multimode hyperspectral imaging system to segment Basal Cell Carcinoma (BCC) and Squamous cell carcinoma lesions (SCC). The aim is to enhance Mohs surgery by determining the actual borderlines of the desired area in the patient’s images, leading to increased efficiency and efficacy of the Mohs surgery. The proposed algorithm was applied to four sets of different Multimode hyperspectral Images with Non-Melanoma Skin. The experimental findings showed that the proposed algorithm is effective in Non-Melanoma skin detection. This could lead to improved image-guided excision of cancerous lesions with potential applications in robotic interventions.
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Liu, Yiqiao, Ethan Walker, InYoung Kim, Daniel Popkin, Bo Zhou, Matthew Bogyo, James Basilion, David Wilson, Mark Biro, and Sukanya R. Iyer. "Molecular imaging and validation of non-melanoma skin cancer margins." In Imaging Informatics for Healthcare, Research, and Applications, edited by Jianguo Zhang and Po-Hao Chen. SPIE, 2018. http://dx.doi.org/10.1117/12.2293847.

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Joseph, Cecil S., Anna N. Yaroslavsky, Munir Al-Arashi, Thomas M. Goyette, Jason C. Dickinson, Andrew J. Gatesman, Brian W. Soper, et al. "Terahertz spectroscopy of intrinsic biomarkers for non-melanoma skin cancer." In SPIE OPTO: Integrated Optoelectronic Devices, edited by Kurt J. Linden, Laurence P. Sadwick, and Créidhe M. O'Sullivan. SPIE, 2009. http://dx.doi.org/10.1117/12.809402.

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Drakaki, E., M. Makropoulou, A. A. Serafetinides, N. Merlemis, I. Kalatzis, I. A. Sianoudis, O. Batsi, et al. "Laser induced autofluorescence for diagnosis of non-melanoma skin cancer." In Eighteenth International School on Quantum Electronics: Laser Physics and Applications, edited by Tanja Dreischuh, Sanka Gateva, and Alexandros Serafetinides. SPIE, 2015. http://dx.doi.org/10.1117/12.2175647.

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Song, Fengju, Abrar Qureshi, Edward Giovannucci, Charlie Fuchs, Wendy Chen, Meir Stampfer, and Jiali Han. "Abstract 636: Non-melanoma skin cancer and risk of second primary cancer." In Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL. American Association for Cancer Research, 2012. http://dx.doi.org/10.1158/1538-7445.am2012-636.

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Elmets, Craig. "Abstract ED09-01: Prevention of non-melanoma skin cancer with celecoxib." In Abstracts: Frontiers in Cancer Prevention Research 2008. American Association for Cancer Research, 2008. http://dx.doi.org/10.1158/1940-6207.prev-08-ed09-01.

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Carmo, Natalia Camillo do, and João Fernando Mari. "A comparative study of convolutional neural networks for classification of pigmented skin lesions." In Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/wvc.2021.18909.

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Skin cancer is one of the most common types of cancer in Brazil and its incidence rate has increased in recent years. Melanoma cases are more aggressive compared to nonmelanoma skin cancer. Machine learning-based classification algorithms can help dermatologists to diagnose whether skin lesion is melanoma or non-melanoma cancer. We compared four convolutional neural networks architectures (ResNet-50, VGG16, Inception-v3, and DenseNet-121) using different training strategies and validation methods to classify seven classes of skin lesions. The experiments were executed using the HAM10000 dataset which contains 10,015 images of pigmented skin lesions. We considered the test accuracy to determine the best model for each strategy. DenseNet-121 was the best model when trained with fine-tuning and data augmentation, 90% (k-fold crossvalidation). Our results can help to improve the use of machine learning algorithms for classifying pigmented skin lesions.
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Abhvankar, Nihar, Himanshu Pingulkar, Kartik Chindarkar, and Asma Parveen I. Siddavatam. "Detection of Melanoma and Non-Melanoma type of Skin Cancer using CNN and RESNET." In 2021 Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2021. http://dx.doi.org/10.1109/asiancon51346.2021.9544656.

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Reports on the topic "Non-melanoma skin cancer"

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Liu, Ruolin, Qianyi Wan, and Rui Zhao. Non-melanoma skin cancer risk in patients receiving biological therapy for common inflammatory diseases. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, July 2021. http://dx.doi.org/10.37766/inplasy2021.7.0005.

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Smit, Amelia, Kate Dunlop, Nehal Singh, Diona Damian, Kylie Vuong, and Anne Cust. Primary prevention of skin cancer in primary care settings. The Sax Institute, August 2022. http://dx.doi.org/10.57022/qpsm1481.

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Abstract:
Overview Skin cancer prevention is a component of the new Cancer Plan 2022–27, which guides the work of the Cancer Institute NSW. To lessen the impact of skin cancer on the community, the Cancer Institute NSW works closely with the NSW Skin Cancer Prevention Advisory Committee, comprising governmental and non-governmental organisation representatives, to develop and implement the NSW Skin Cancer Prevention Strategy. Primary Health Networks and primary care providers are seen as important stakeholders in this work. To guide improvements in skin cancer prevention and inform the development of the next NSW Skin Cancer Prevention Strategy, an up-to-date review of the evidence on the effectiveness and feasibility of skin cancer prevention activities in primary care is required. A research team led by the Daffodil Centre, a joint venture between the University of Sydney and Cancer Council NSW, was contracted to undertake an Evidence Check review to address the questions below. Evidence Check questions This Evidence Check aimed to address the following questions: Question 1: What skin cancer primary prevention activities can be effectively administered in primary care settings? As part of this, identify the key components of such messages, strategies, programs or initiatives that have been effectively implemented and their feasibility in the NSW/Australian context. Question 2: What are the main barriers and enablers for primary care providers in delivering skin cancer primary prevention activities within their setting? Summary of methods The research team conducted a detailed analysis of the published and grey literature, based on a comprehensive search. We developed the search strategy in consultation with a medical librarian at the University of Sydney and the Cancer Institute NSW team, and implemented it across the databases Embase, MEDLINE, PsycInfo, Scopus, Cochrane Central and CINAHL. Results were exported and uploaded to Covidence for screening and further selection. The search strategy was designed according to the SPIDER tool for Qualitative and Mixed-Methods Evidence Synthesis, which is a systematic strategy for searching qualitative and mixed-methods research studies. The SPIDER tool facilitates rigour in research by defining key elements of non-quantitative research questions. We included peer-reviewed and grey literature that included skin cancer primary prevention strategies/ interventions/ techniques/ programs within primary care settings, e.g. involving general practitioners and primary care nurses. The literature was limited to publications since 2014, and for studies or programs conducted in Australia, the UK, New Zealand, Canada, Ireland, Western Europe and Scandinavia. We also included relevant systematic reviews and evidence syntheses based on a range of international evidence where also relevant to the Australian context. To address Question 1, about the effectiveness of skin cancer prevention activities in primary care settings, we summarised findings from the Evidence Check according to different skin cancer prevention activities. To address Question 2, about the barriers and enablers of skin cancer prevention activities in primary care settings, we summarised findings according to the Consolidated Framework for Implementation Research (CFIR). The CFIR is a framework for identifying important implementation considerations for novel interventions in healthcare settings and provides a practical guide for systematically assessing potential barriers and facilitators in preparation for implementing a new activity or program. We assessed study quality using the National Health and Medical Research Council (NHMRC) levels of evidence. Key findings We identified 25 peer-reviewed journal articles that met the eligibility criteria and we included these in the Evidence Check. Eight of the studies were conducted in Australia, six in the UK, and the others elsewhere (mainly other European countries). In addition, the grey literature search identified four relevant guidelines, 12 education/training resources, two Cancer Care pathways, two position statements, three reports and five other resources that we included in the Evidence Check. Question 1 (related to effectiveness) We categorised the studies into different types of skin cancer prevention activities: behavioural counselling (n=3); risk assessment and delivering risk-tailored information (n=10); new technologies for early detection and accompanying prevention advice (n=4); and education and training programs for general practitioners (GPs) and primary care nurses regarding skin cancer prevention (n=3). There was good evidence that behavioural counselling interventions can result in a small improvement in sun protection behaviours among adults with fair skin types (defined as ivory or pale skin, light hair and eye colour, freckles, or those who sunburn easily), which would include the majority of Australians. It was found that clinicians play an important role in counselling patients about sun-protective behaviours, and recommended tailoring messages to the age and demographics of target groups (e.g. high-risk groups) to have maximal influence on behaviours. Several web-based melanoma risk prediction tools are now available in Australia, mainly designed for health professionals to identify patients’ risk of a new or subsequent primary melanoma and guide discussions with patients about primary prevention and early detection. Intervention studies have demonstrated that use of these melanoma risk prediction tools is feasible and acceptable to participants in primary care settings, and there is some evidence, including from Australian studies, that using these risk prediction tools to tailor primary prevention and early detection messages can improve sun-related behaviours. Some studies examined novel technologies, such as apps, to support early detection through skin examinations, including a very limited focus on the provision of preventive advice. These novel technologies are still largely in the research domain rather than recommended for routine use but provide a potential future opportunity to incorporate more primary prevention tailored advice. There are a number of online short courses available for primary healthcare professionals specifically focusing on skin cancer prevention. Most education and training programs for GPs and primary care nurses in the field of skin cancer focus on treatment and early detection, though some programs have specifically incorporated primary prevention education and training. A notable example is the Dermoscopy for Victorian General Practice Program, in which 93% of participating GPs reported that they had increased preventive information provided to high-risk patients and during skin examinations. Question 2 (related to barriers and enablers) Key enablers of performing skin cancer prevention activities in primary care settings included: • Easy access and availability of guidelines and point-of-care tools and resources • A fit with existing workflows and systems, so there is minimal disruption to flow of care • Easy-to-understand patient information • Using the waiting room for collection of risk assessment information on an electronic device such as an iPad/tablet where possible • Pairing with early detection activities • Sharing of successful programs across jurisdictions. Key barriers to performing skin cancer prevention activities in primary care settings included: • Unclear requirements and lack of confidence (self-efficacy) about prevention counselling • Limited availability of GP services especially in regional and remote areas • Competing demands, low priority, lack of time • Lack of incentives.
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