Log in

Relevant bibliographies by topics / Individual radiosensitivity / Journal articles

To see the other types of publications on this topic, follow the link: Individual radiosensitivity.

Journal articles on the topic 'Individual radiosensitivity'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Individual radiosensitivity.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

D’omina, E. A., N. M. Ryabchenko, and I. R. Barylyak. "Individual human radiosensitivity: Cytogenetic aspects." Cytology and Genetics 41, no. 5 (October 2007): 288–91. http://dx.doi.org/10.3103/s0095452707050052.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Auer, Judith, Ulrike Keller, Manfred Schmidt, Oliver Ott, Rainer Fietkau, and Luitpold V. Distel. "Individual radiosensitivity in a breast cancer collective is changed with the patients’ age." Radiology and Oncology 48, no. 1 (March 1, 2014): 80–86. http://dx.doi.org/10.2478/raon-2013-0061.

Full text

Abstract:

Abstract Background. Individual radiosensitivity has a crucial impact on radiotherapy related side effects. Our aim was to study a breast cancer collective for its variation of individual radiosensitivity depending on the patients’ age. Materials and methods. Peripheral blood samples were obtained from 129 individuals. Individual radiosensitivity in 67 breast cancer patients and 62 healthy individuals was estimated by 3-color fluorescence in situ hybridization. Results. Breast cancer patients were distinctly more radiosensitive compared to healthy controls. A subgroup of 9 rather radiosensitive and 9 rather radio-resistant patients was identified. A subgroup of patients aged between 40 and 50 was distinctly more radiosensitive than younger or older patients. Conclusions. In the breast cancer collective a distinct resistant and sensitive subgroup is identified, which could be subject for treatment adjustment. Preliminary results indicate that especially in the range of age 40 to 50 patients with an increased radiosensitivity are more frequent and may have an increased risk to suffer from therapy related side effects.

APA, Harvard, Vancouver, ISO, and other styles

3

Guogytė, Kamilė, Aista Plieskienė, Olga Sevriukova, Rima Ladygienė, Julius Žiliukas, and Vinsas Janušonis. "Micronuclei And G2 Assays For Assessment Of Chromosomal Radiosensitivity As Assistant Tool In Radiotherapy: Method-Comparison Study." Sveikatos mokslai 26, no. 5 (December 22, 2016): 63–68. http://dx.doi.org/10.5200/sm-hs.2016.073.

Full text

Abstract:

Radiation therapy is widely used for cancer treatment. Medical application of ionizing radiation can cause different responses in human depending on individual radiosensitivity. Therefore, assessment of individual radiosensitivity could be proposed as assistant tool in optimizing radiotherapy. The cytokinesis- block micronucleus and G2 chromosomal radiosensitivity assays were proposed as appropriate methods for assessment of individual radiosensitivity. In current study we carried out a pilot cytokinesis-block micronucleus and G2 chromosomal radiosensitivity assays comparison by evaluating specificity of chromatid breaks yield and micronuclei frequency in peripheral blood lymphocytes as biomarkers of individual radiosensitivity in three cancer patients treated with radiotherapy. Our study revealed positive correlation between higher increase in frequency of micronuclei and chromatid breaks after in vitro irradiation in radiotherapy patients peripheral blood lymphocytes with occurrence of adverse radiation effects in tissue which are not being targeted. G2 assay appeared to be more sensitive than micronuclei assay for assessment of irradiation-induced alterations in individual radiosensitivity during the radiotherapy that could affect development of treatment side effects. Therefore, further investigations involving more radiotherapy patients as well as healthy donors are required to select the most sensitive method and reveal the possible correlation between individual radiosensitivity and adverse effect of radiotherapy.

APA, Harvard, Vancouver, ISO, and other styles

4

Schnarr, Kara, Ian Dayes, Jinka Sathya, and Douglas Boreham. "Individual Radiosensitivity and its Relevance to Health Physics." Dose-Response 5, no. 4 (October 1, 2007): dose—response.0. http://dx.doi.org/10.2203/dose-response.07-022.schnarr.

Full text

Abstract:

Radiation protection regulations have been established to reduce exposure of individuals to acceptable safe levels. These limits assume that people have similar responses to ionizing radiation and that there is no variation in individual radiation risk. The purpose of this research was to determine if apoptosis in lymphocytes can be used to assess individual sensitivity to ionizing radiation. Blood samples were taken from 54 males ranging in age from 19–85 years. Apoptosis was measured using modified flow cytometry based Annexin-FITC/7AAD and DiOC6/7AAD assays in different populations of lymphocytes (total mixed lymphocyte population, subset CD4+ or CD8+ lymphocytes) after exposure to in vitro doses of 0, 2, 4 or 8Gy (dose rate 0.1Gy/min). The variation in individual responses to radiation was large. The variation was the largest in the CD4+ lymphocyte subpopulation. Radiation-induced apoptosis decreased with age of donor demonstrating that as people age their lymphocytes may become relatively more resistant to radiation. This research shows that individuals have marked differences in their sensitivity to radiation and protection policies may someday need to be tailored for some individuals.

APA, Harvard, Vancouver, ISO, and other styles

5

Claudia, F. "Individual Radiosensitivity and Correlation with Tumoral Regression." International Journal of Radiation Oncology*Biology*Physics 78, no. 3 (November 2010): S295. http://dx.doi.org/10.1016/j.ijrobp.2010.07.703.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Curwen, G. B., K. K. Cadwell, E. J. Tawn, J. F. Winther, and J. D. Boice. "Intra-individual variation in G2 chromosomal radiosensitivity." Mutagenesis 27, no. 4 (March 15, 2012): 471–75. http://dx.doi.org/10.1093/mutage/ges006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Haikonen, Johanna, Virpi Rantanen, Kirsi Pekkola, Jarmo Kulmala, and Reidar Grénman. "Does skin fibroblast radiosensitivity predict squamous cancer cell radiosensitivity of the same individual?" International Journal of Cancer 103, no. 6 (December 6, 2002): 784–88. http://dx.doi.org/10.1002/ijc.10890.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Васильев, С. А., and И. Н. Лебедев. "Cytogenetic and expression markers of individual human radiosensitivity." Nauchno-prakticheskii zhurnal «Medicinskaia genetika», no. 1() (March 28, 2018): 3–8. http://dx.doi.org/10.25557/2073-7998.2018.01.3-8.

Full text

Abstract:

Воздействие ионизирующего излучения вызывает значительные функциональные изменения в клетках человека, выражающиеся в активации различных сигнальных путей и транскрипционного ответа множества генов. Величина этих изменений вариабельна у разных индивидов, составляя феномен индивидуальной радиочувствительности. В обзоре рассматриваются известные маркеры индивидуальной радиочувствительности человека, начиная от цитогенетических, позволяющих непосредственно оценить эффективность репарации радиационно-индуцированных повреждений ДНК в клетках, до маркеров, выделенных на основании полногеномных и полнотранскриптомных исследований дифференциально экспрессирующихся генов, обусловливающих различные аспекты клеточного и организменного ответа на радиационное воздействие. Exposure to ionizing radiation causes significant functional changes in human cells which lead to activation of various signaling pathways and transcriptional response of many genes. The magnitude of these changes is variable for different individuals, making the phenomenon of individual radiosensitivity. In the review, markers of individual radiosensitivity are described ranging from cytogenetic markers for assessing the efficiency of DNA repair of radiation-induced damage in cells to genome- and transcriptome-wide approaches to identify differentially expressed genes that determine various aspects of response to radiation exposure.

APA, Harvard, Vancouver, ISO, and other styles

9

Ferlazzo, Mélanie L., Michel Bourguignon, and Nicolas Foray. "Functional Assays for Individual Radiosensitivity: A Critical Review." Seminars in Radiation Oncology 27, no. 4 (October 2017): 310–15. http://dx.doi.org/10.1016/j.semradonc.2017.04.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Koch, Kerstin, Agnieszka Wrona, Ekkehard Dikomey, and Kerstin Borgmann. "Impact of homologous recombination on individual cellular radiosensitivity." Radiotherapy and Oncology 90, no. 2 (February 2009): 265–72. http://dx.doi.org/10.1016/j.radonc.2008.07.028.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Bourguignon, Michel, N. Foray, C. Colin, and Ernest Pauwels. "Individual radiosensitivity: a key issue in radiation protection." International Journal of Low Radiation 9, no. 1 (2013): 52. http://dx.doi.org/10.1504/ijlr.2013.054186.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Kravets, Alexandra P., and Daryna A. Sokolova. "Epigenetic factors of individual radiosensitivity and adaptive capacity." International Journal of Radiation Biology 96, no. 8 (May 26, 2020): 999–1007. http://dx.doi.org/10.1080/09553002.2020.1767819.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Vral, A. "Chromosomal aberrations and in vitro radiosensitivity: intra-individual versus inter-individual variability." Toxicology Letters 149, no. 1-3 (April 1, 2004): 345–52. http://dx.doi.org/10.1016/j.toxlet.2003.12.044.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Berthel, Elise, Nicolas Foray, and Mélanie L. Ferlazzo. "The Nucleoshuttling of the ATM Protein: A Unified Model to Describe the Individual Response to High- and Low-Dose of Radiation?" Cancers 11, no. 7 (June 28, 2019): 905. http://dx.doi.org/10.3390/cancers11070905.

Full text

Abstract:

The evaluation of radiation-induced (RI) risks is of medical, scientific, and societal interest. However, despite considerable efforts, there is neither consensual mechanistic models nor predictive assays for describing the three major RI effects, namely radiosensitivity, radiosusceptibility, and radiodegeneration. Interestingly, the ataxia telangiectasia mutated (ATM) protein is a major stress response factor involved in the DNA repair and signaling that appears upstream most of pathways involved in the three precited RI effects. The rate of the RI ATM nucleoshuttling (RIANS) was shown to be a good predictor of radiosensitivity. In the frame of the RIANS model, irradiation triggers the monomerization of cytoplasmic ATM dimers, which allows ATM monomers to diffuse in nucleus. The nuclear ATM monomers phosphorylate the H2AX histones, which triggers the recognition of DNA double-strand breaks and their repair. The RIANS model has made it possible to define three subgroups of radiosensitivity and provided a relevant explanation for the radiosensitivity observed in syndromes caused by mutated cytoplasmic proteins. Interestingly, hyper-radiosensitivity to a low dose and adaptive response phenomena may be also explained by the RIANS model. In this review, the relevance of the RIANS model to describe several features of the individual response to radiation was discussed.

APA, Harvard, Vancouver, ISO, and other styles

15

Belenko, Andrey Alexandrovich, Stanislav Anatolyevich Vasilyev, and Igor' Nikolaevich Lebedev. "Markers of human extraembryonal cells individual radiosensitivity in vitro." Ecological genetics 13, no. 4 (December 15, 2015): 34. http://dx.doi.org/10.17816/ecogen13434-36.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Scott, David. "Individual differences in chromosomal radiosensitivity: implications for radiogenic cancer." International Congress Series 1236 (July 2002): 433–37. http://dx.doi.org/10.1016/s0531-5131(01)00767-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Matsuura, S., E. Royba, S. N. Akutsu, H. Yanagihara, H. Ochiai, Y. Kudo, S. Tashiro, and T. Miyamoto. "Analysis of individual differences in radiosensitivity using genome editing." Annals of the ICRP 45, no. 1_suppl (March 24, 2016): 290–96. http://dx.doi.org/10.1177/0146645316633941.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Leong, T., P. N. Lobachevsky, P. E. Daly, J. Smith, N. Best, J. M. Tomaszewski, R. F. Martin, and O. A. Martin. "Gamma-H2AX as a Predictive Biomarker of Individual Radiosensitivity." International Journal of Radiation Oncology*Biology*Physics 90, no. 1 (September 2014): S779. http://dx.doi.org/10.1016/j.ijrobp.2014.05.2255.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Khosravifarsani, Meysam, Ali Shabestani Monfared, and Sajad Borzoueisileh. "Rh factor is associated with individual radiosensitivity: A cytogenetic study." Electronic physician 8, no. 8 (August 25, 2016): 2828–32. http://dx.doi.org/10.19082/2828.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

SANTOS, NEYLIANE F. G. DOS, RAFAEL F. SILVA, MARCELA M. P. L. PINTO, EDVANE B. DA SILVA, DEBORAH R. TASAT, and ADEMIR AMARAL. "Active caspase-3 expression levels as bioindicator of individual radiosensitivity." Anais da Academia Brasileira de Ciências 89, no. 1 suppl (May 4, 2017): 649–59. http://dx.doi.org/10.1590/0001-3765201720160697.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Pantelias, Gabriel E., and Georgia I. Terzoudi. "A standardized G2-assay for the prediction of individual radiosensitivity." Radiotherapy and Oncology 101, no. 1 (October 2011): 28–34. http://dx.doi.org/10.1016/j.radonc.2011.09.021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Tucker, Susan L., Ingela Turesson, and Howard D. Thames. "Evidence for individual differences in the radiosensitivity of human skin." European Journal of Cancer 28, no. 11 (January 1992): 1783–91. http://dx.doi.org/10.1016/0959-8049(92)90004-l.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Berthel, Elise, Mélanie L. Ferlazzo, Clément Devic, Michel Bourguignon, and Nicolas Foray. "What Does the History of Research on the Repair of DNA Double-Strand Breaks Tell Us?—A Comprehensive Review of Human Radiosensitivity." International Journal of Molecular Sciences 20, no. 21 (October 26, 2019): 5339. http://dx.doi.org/10.3390/ijms20215339.

Full text

Abstract:

Our understanding of the molecular and cellular response to ionizing radiation (IR) has progressed considerably. This is notably the case for the repair and signaling of DNA double-strand breaks (DSB) that, if unrepaired, can result in cell lethality, or if misrepaired, can cause cancer. However, through the different protocols, techniques, and cellular models used during the last four decades, the DSB repair kinetics and the relationship between cellular radiosensitivity and unrepaired DSB has varied drastically, moving from all-or-none phenomena to very complex mechanistic models. To date, personalized medicine has required a reliable evaluation of the IR-induced risks that have become a medical, scientific, and societal issue. However, the molecular bases of the individual response to IR are still unclear: there is a gap between the moderate radiosensitivity frequently observed in clinic but poorly investigated in the publications and the hyper-radiosensitivity of rare but well-characterized genetic diseases frequently cited in the mechanistic models. This paper makes a comprehensive review of semantic issues, correlations between cellular radiosensitivity and unrepaired DSB, shapes of DSB repair curves, and DSB repair biomarkers in order to propose a new vision of the individual response to IR that would be more coherent with clinical reality.

APA, Harvard, Vancouver, ISO, and other styles

24

Luxton, Jared J., Miles J. McKenna, Aidan M. Lewis, Lynn E. Taylor, Sameer G. Jhavar, Gregory P. Swanson, and Susan M. Bailey. "Telomere Length Dynamics and Chromosomal Instability for Predicting Individual Radiosensitivity and Risk via Machine Learning." Journal of Personalized Medicine 11, no. 3 (March 8, 2021): 188. http://dx.doi.org/10.3390/jpm11030188.

Full text

Abstract:

The ability to predict a cancer patient’s response to radiotherapy and risk of developing adverse late health effects would greatly improve personalized treatment regimens and individual outcomes. Telomeres represent a compelling biomarker of individual radiosensitivity and risk, as exposure can result in dysfunctional telomere pathologies that coincidentally overlap with many radiation-induced late effects, ranging from degenerative conditions like fibrosis and cardiovascular disease to proliferative pathologies like cancer. Here, telomere length was longitudinally assessed in a cohort of fifteen prostate cancer patients undergoing Intensity Modulated Radiation Therapy (IMRT) utilizing Telomere Fluorescence in situ Hybridization (Telo-FISH). To evaluate genome instability and enhance predictions for individual patient risk of secondary malignancy, chromosome aberrations were assessed utilizing directional Genomic Hybridization (dGH) for high-resolution inversion detection. We present the first implementation of individual telomere length data in a machine learning model, XGBoost, trained on pre-radiotherapy (baseline) and in vitro exposed (4 Gy γ-rays) telomere length measurements, to predict post radiotherapy telomeric outcomes, which together with chromosomal instability provide insight into individual radiosensitivity and risk for radiation-induced late effects.

APA, Harvard, Vancouver, ISO, and other styles

25

Dikomey, Ekkehard, Kerstin Borgmann, Ingo Brammer, and Ulla Kasten-Pisula. "Molecular mechanisms of individual radiosensitivity studied in normal diploid human fibroblasts." Toxicology 193, no. 1-2 (November 2003): 125–35. http://dx.doi.org/10.1016/s0300-483x(03)00293-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Foray, Nicolas, Catherine Colin, and Michel Bourguignon. "100 Years of Individual Radiosensitivity: How We Have Forgotten the Evidence." Radiology 264, no. 3 (September 2012): 627–31. http://dx.doi.org/10.1148/radiol.12112560.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Belenko, A. A., S. A. Vasilyev, and I. N. Lebedev. "Markers of the individual radiosensitivity of human extraembryonic cells in vitro." Russian Journal of Genetics: Applied Research 7, no. 2 (March 2017): 203–4. http://dx.doi.org/10.1134/s2079059717020034.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Severin, Erhard, Burkhard Greve, Elke Pascher, Niels Wedemeyer, Ursula Hacker-Klom, Gerda Silling, Joachim Kienast, Normann Willich, and Wolfgang Göhde. "Evidence for predictive validity of blood assays to evaluate individual radiosensitivity." International Journal of Radiation Oncology*Biology*Physics 64, no. 1 (January 2006): 242–50. http://dx.doi.org/10.1016/j.ijrobp.2005.06.020.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Wisdom, Amy J., and David G. Kirsch. "Functional assay to guide precision radiotherapy by assessing individual patient radiosensitivity." EBioMedicine 41 (March 2019): 26–27. http://dx.doi.org/10.1016/j.ebiom.2019.03.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Ocolotobiche, Eliana E., Ricard Marcos Dauder, and Alba Mabel Güerci. "Radiosensitivity of radiotherapy patients: The effect of individual DNA repair capacity." Mutation Research/Genetic Toxicology and Environmental Mutagenesis 867 (July 2021): 503371. http://dx.doi.org/10.1016/j.mrgentox.2021.503371.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

El-Nachef, Laura, Joelle Al-Choboq, Juliette Restier-Verlet, Adeline Granzotto, Elise Berthel, Laurène Sonzogni, Mélanie L. Ferlazzo, et al. "Human Radiosensitivity and Radiosusceptibility: What Are the Differences?" International Journal of Molecular Sciences 22, no. 13 (July 2, 2021): 7158. http://dx.doi.org/10.3390/ijms22137158.

Full text

Abstract:

The individual response to ionizing radiation (IR) raises a number of medical, scientific, and societal issues. While the term “radiosensitivity” was used by the pioneers at the beginning of the 20st century to describe only the radiation-induced adverse tissue reactions related to cell death, a confusion emerged in the literature from the 1930s, as “radiosensitivity” was indifferently used to describe the toxic, cancerous, or aging effect of IR. In parallel, the predisposition to radiation-induced adverse tissue reactions (radiosensitivity), notably observed after radiotherapy appears to be caused by different mechanisms than those linked to predisposition to radiation-induced cancer (radiosusceptibility). This review aims to document these differences in order to better estimate the different radiation-induced risks. It reveals that there are very few syndromes associated with the loss of biological functions involved directly in DNA damage recognition and repair as their role is absolutely necessary for cell viability. By contrast, some cytoplasmic proteins whose functions are independent of genome surveillance may also act as phosphorylation substrates of the ATM protein to regulate the molecular response to IR. The role of the ATM protein may help classify the genetic syndromes associated with radiosensitivity and/or radiosusceptibility.

APA, Harvard, Vancouver, ISO, and other styles

32

Patrono, Clarice. "Polymorphisms in base excision repair genes: Breast cancer risk and individual radiosensitivity." World Journal of Clinical Oncology 5, no. 5 (2014): 874. http://dx.doi.org/10.5306/wjco.v5.i5.874.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Alsbeih, Ghazi, Rafa S. Al-Meer, Najla Al-Harbi, Sara Bin Judia, Muneera Al-Buhairi, Nikki Q. Venturina, and Belal Moftah. "Gender bias in individual radiosensitivity and the association with genetic polymorphic variations." Radiotherapy and Oncology 119, no. 2 (May 2016): 236–43. http://dx.doi.org/10.1016/j.radonc.2016.02.034.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Haghdoost, Siamak, Peter Svoboda, Ingemar Näslund, Mats Harms-Ringdahl, Aris Tilikides, and Sven Skog. "Can 8-oxo-dG be used as a predictor for individual radiosensitivity?" International Journal of Radiation Oncology*Biology*Physics 50, no. 2 (June 2001): 405–10. http://dx.doi.org/10.1016/s0360-3016(00)01580-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Tang, Yamei, Yinyin Zhang, Ling Guo, Ying Peng, Qingliang Luo, and Yigang Xing. "Relationship between Individual Radiosensitivity and Radiation Encephalopathy of Nasopharyngeal Carcinoma after Radiotherapy." Strahlentherapie und Onkologie 184, no. 10 (October 2008): 510–14. http://dx.doi.org/10.1007/s00066-008-1898-z.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Chakava, Natalia, Galina Muravskaya, Natalia Artyemova, Swetlana Polonetskaya, and Alena Mikhalenka. "P2-111: Study on individual radiosensitivity of somatic cells in lung cancer patients." Journal of Thoracic Oncology 2, no. 8 (August 2007): S535. http://dx.doi.org/10.1097/01.jto.0000283575.41323.f6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

He, Qi-en, Yi-fan Tong, Zhou Ye, Li-xia Gao, Yi-zhi Zhang, Ling Wang, and Kai Song. "A multiple genomic data fused SF2 prediction model, signature identification, and gene regulatory network inference for personalized radiotherapy." Technology in Cancer Research & Treatment 19 (January 1, 2020): 153303382090911. http://dx.doi.org/10.1177/1533033820909112.

Full text

Abstract:

Radiotherapy is one of the most important cancer treatments, but its response varies greatly among individual patients. Therefore, the prediction of radiosensitivity, identification of potential signature genes, and inference of their regulatory networks are important for clinical and oncological reasons. Here, we proposed a novel multiple genomic fused partial least squares deep regression method to simultaneously analyze multi-genomic data. Using 60 National Cancer Institute cell lines as examples, we aimed to identify signature genes by optimizing the radiosensitivity prediction model and uncovering regulatory relationships. A total of 113 signature genes were selected from more than 20,000 genes. The root mean square error of the model was only 0.0025, which was much lower than previously published results, suggesting that our method can predict radiosensitivity with the highest accuracy. Additionally, our regulatory network analysis identified 24 highly important ‘hub’ genes. The data analysis workflow we propose provides a unified and computational framework to harness the full potential of large-scale integrated cancer genomic data for integrative signature discovery. Furthermore, the regression model, signature genes, and their regulatory network should provide a reliable quantitative reference for optimizing personalized treatment options, and may aid our understanding of cancer progress mechanisms.

APA, Harvard, Vancouver, ISO, and other styles

38

Oike, Takahiro, Shuichiro Komatsu, Yuka Komatsu, Ankita Nachankar, Narisa Dewi Maulany Darwis, Atsushi Shibata, and Tatsuya Ohno. "Reporting of methodologies used for clonogenic assays to determine radiosensitivity." Journal of Radiation Research 61, no. 6 (August 22, 2020): 828–31. http://dx.doi.org/10.1093/jrr/rraa064.

Full text

Abstract:

Abstract Radiotherapy treatment strategies should be personalized based on the radiosensitivity of individual tumors. Clonogenic assays are the gold standard method for in vitro assessment of radiosensitivity. Reproducibility is the critical factor for scientific rigor; however, this is reduced by insufficient reporting of methodologies. In reality, the reporting standards of methodologies pertaining to clonogenic assays remain unclear. To address this, we performed a literature search and qualitative analysis of the reporting of methodologies pertaining to clonogenic assays. A comprehensive literature review identified 1672 papers that report the radiosensitivity of human cancer cells based on clonogenic assays. From the identified papers, important experimental parameters (i.e. number of biological replicates, technical replicates, radiation source and dose rate) were recorded and analyzed. We found that, among the studies, (i) 30.5% did not report biological or technical replicates; (ii) 47.0% did not use biological or technical replicates; (iii) 3.8% did not report the radiation source; and (iv) 32.3% did not report the dose rate. These data suggest that reporting of methodologies pertaining to clonogenic assays in a considerable number of previously published studies is insufficient, thereby threatening reproducibility. This highlights the need to raise awareness of standardization of the methodologies used to conduct clonogenic assays.

APA, Harvard, Vancouver, ISO, and other styles

39

Aghamohammadi, Asghar, Seyed M. Akrami, Marjan Yaghmaie, Nima Rezaei, Gholamreza Azizi, Mehdi Yaseri, Hassan Nosrati, and Majid Zaki-Dizaji. "Individual Radiosensitivity Assessment of the Families of Ataxia-Telangiectasia Patients by G2-Checkpoint Abrogation." Sultan Qaboos University Medical Journal [SQUMJ] 18, no. 4 (March 28, 2019): 440. http://dx.doi.org/10.18295/squmj.2018.18.04.003.

Full text

Abstract:

Objectives: Ataxia-telangiectasia (A-T) is an autosomal recessive multisystem disorder characterised by cerebellar degeneration, telangiectasia, radiation sensitivity, immunodeficiency, oxidative stress and cancer susceptibility. Epidemiological research has shown that carriers of the heterozygous ataxia-telangiectasia mutated (ATM) gene mutation are radiosensitive to ionising irradiation and have a higher risk of cancers, type 2 diabetes and atherosclerosis. However, there is currently no fast and reliable laboratory-based method to detect heterozygous ATM carriers for family screening and planning purposes. This study therefore aimed to evaluate the ability of a modified G2-assay to identify heterozygous ATM carriers in the families of A-T patients. Methods: This study took place at the Tehran University of Medical Sciences, Tehran, Iran, between February and December 2017 and included 16 A-T patients, their parents (obligate heterozygotes) and 30 healthy controls. All of the subjects underwent individual radiosensitivity (IRS) assessment using a modified caffeine-treated G2-assay with G2-checkpoint abrogation. Results: The mean IRS of the obligate ATM heterozygotes was significantly higher than the healthy controls (55.13% ± 5.84% versus 39.03% ± 6.95%; P <0.001), but significantly lower than the A-T patients (55.13% ± 5.84% versus 87.39% ± 8.29%; P = 0.001). A receiver operating characteristic (ROC) curve analysis of the G2-assay values indicated high sensitivity and specificity, with an area under the ROC curve of 0.97 (95% confidence interval: 0.95–1.00). Conclusion: The modified G2-assay demonstrated adequate precision and relatively high sensitivity and specificity in detecting heterozygous ATM carriers.Keywords: Ataxia-Telangiectasia; Chromosome Breakage; Genetic Carrier Screening; Heterozygote; Radiation Sensitivity; Sensitivity and Specificity.

APA, Harvard, Vancouver, ISO, and other styles

40

Granzotto, Adeline, Clément Devic, Muriel Viau, Mira Maalouf, Aurélie Joubert, Catherine Massart, Charles Thomas, and Nicolas Foray. "INDIVIDUAL SUSCEPTIBILITY TO RADIOSENSITIVITY AND TO GENOMIC INSTABILITY: ITS IMPACT ON LOW-DOSE PHENOMENA." Health Physics 100, no. 3 (March 2011): 282. http://dx.doi.org/10.1097/hp.0b013e318204ec04.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Salomaa, Sisko, and Thomas Jung. "Roadmap for research on individual radiosensitivity and radiosusceptibility – the MELODI view on research needs." International Journal of Radiation Biology 96, no. 3 (January 8, 2020): 277–79. http://dx.doi.org/10.1080/09553002.2019.1704107.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Borgmann, Kerstin, Ulrike Hoeller, Sven Nowack, Michael Bernhard, Barbara Röper, Sophie Brackrock, Cordula Petersen, et al. "Individual Radiosensitivity Measured With Lymphocytes May Predict the Risk of Acute Reaction After Radiotherapy." International Journal of Radiation Oncology*Biology*Physics 71, no. 1 (May 2008): 256–64. http://dx.doi.org/10.1016/j.ijrobp.2008.01.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Beaton, Lindsay A., Leonora Marro, Shawn Malone, Sara Samiee, Scott Grimes, Kyle Malone, and Ruth C. Wilkins. "Investigating γ H2AX as a Biomarker of Radiosensitivity Using Flow Cytometry Methods." ISRN Radiology 2013 (April 10, 2013): 1–7. http://dx.doi.org/10.5402/2013/704659.

Full text

Abstract:

Background and Purpose. This project examined the in vitro γH2AX response in lymphocytes of prostate cancer patients who had a radiosensitive response after receiving radiotherapy. The goal of this project was to determine whether the γH2AX response, as measured by flow cytometry, could be used as a marker of individual patient radiosensitivity. Materials and Methods. Patients were selected from a randomized clinical trial evaluating the optimal timing of Dose Escalated Radiation and short-course Androgen Deprivation Therapy. Of 438 patients, 3% developed Grade 3 late radiation proctitis and were considered to be radiosensitive. Blood was drawn from 10 of these patients along with 20 matched samples from patients with Grade 0 proctitis. Dose response curves up to 10 Gy along with time response curves after 2 Gy (0–24 h) were generated for each sample. The γH2AX response in lymphocytes and lymphocyte subsets was analyzed by flow cytometry. Results. There were no significant differences between the radiosensitive and control samples for either the dose course or the time course. Conclusions. Although γH2AX response has previously been demonstrated to be an indicator of individual patient radiosensitivity, flow cytometry lacks the sensitivity necessary to distinguish any differences between samples from control and radiosensitive patients.

APA, Harvard, Vancouver, ISO, and other styles

44

Filippi, Andrea Riccardo, Pierfrancesco Franco, and Umberto Ricardi. "Is Clinical Radiosensitivity a Complex Genetically Controlled Event?" Tumori Journal 92, no. 2 (March 2006): 87–91. http://dx.doi.org/10.1177/030089160609200201.

Full text

Abstract:

New insights into molecular mechanisms responsible for cellular radiation response are coming from recent basic radiobiological studies. Preliminary data supporting the concept of clinical radiosensitivity as a complex genetically controlled event are available, and it seems reasonable to hypothesize that genes encoding for proteins implicated in known radiation-induced pathways, such as DNA repair, could influence normal tissue and tumor response to radiotherapy. Such genes could be considered as candidates for experimental studies and as targets for innovative therapies. Variants that could influence individual radiosensitivity have been recently identified, and specific Single Nucleotide Polymorphisms have been associated to the development of different radiation effects on normal tissues. Allelic architecture of complex traits able to modify phenotypes is difficult to be established, and different grades of interaction between common or rare genetic determinants may be present and should be considered. Many different experimental strategies could be investigated in the future, such as analysis of multiple genes in large irradiated patient cohorts strictly observed for radiation effects or identification of new candidate genes, with the aim of identifying factors that could be employed in predictive testing and individualization of radiation therapy on a genetic basis.

APA, Harvard, Vancouver, ISO, and other styles

45

Vinnikov, V. A., and T. V. Rubleva. "Predictors of radiation-induced complications in radiation oncology based on cell survival tests after ex vivo exposure: literature review." Український радіологічний та онкологічний журнал 29, no. 1 (March 29, 2021): 89–118. http://dx.doi.org/10.46879/ukroj.1.2021.89-118.

Full text

Abstract:

Background. Among cancer patients receiving radiotherapy about 5–15 % may have adverse reactions in normal tissues and organs that limit their treatment in a full, originally scheduled regimen. The development of biomarkers and assays for radiation oncology allowing the prediction of patients’ normal tissue toxicity requires a lot of resourses, threfore its current status amd potential directions for future research have to be periodically analyzed and re-evaluated. Purpose – this review summarizes the methodological approaches and developments in the area of functional laboratory assays based on ex vivo cell survival for the prediction of the individual clinical radiosensitivity. Materials and methods. Data for the analysis and systematization were obtained from the full-text articles published in peer review international scientific journals (in English) in 1990–2020, which were selected by the extensive search in PubMed information database and cross references on the topic “Functional cellular tests for intrinsic radiosensitivity to predict adverse radiation effects and radiotherapy complications”. Results. In theory, it might be expected that clonogenic cell survival after ex vivo irradiation can surve as the best individual predictor of radiation toxicity, as it is an integral indicator of cell damage and decline of their regenerative potential. Tendentially, fibroblasts, as a test system for such studies, did not show significant advantages over lymphocytes either in detecting inter-individual variations in the intrinsic cellular radiosensitivity or in predicting clinical radiation toxicity, even for that in skin. It was found that clonogenic cell survival assay, being very time consuming and technically demanding, also suffers from the lack of sensitivity and specificity, essential uncertainty and low reproducibility of the results, and thus is not suitable for the sceening for the abnormal intrinsic radiosensitivity. However, this type of assays is applicable for the radiobiological expertise post factum in individual cases with unexpected, extreme radiation lesions. Radiation-induced lymphocyte apoptosis assay seems to be more promising however still requires further fundamental research for better understanding of its background and more validation studies in order to assess the optimum patient groups, radiotherapy regimens and adverse effects for its confident use in clinical practice. Changes in the regulation of cell cycle check-points (radiationinduced delay) ex vivo can have either positive or inverted association, or no correlation with clinical radiation responses in tissues, thus so far cannot be included in the toolbox of applied radiobiological tests. Conclusions. To date, in the practice of clinical radiobiology, there are no fully validated and standardized functional tests based on the cell survival after ex vivo irradiation, which would allow a sufficiently accurate prediction of adverse radiation effects in normal tissues of radiotherapy patients. In general, ex vivo tests based on the evaluation of only one form of cell death in one cell type are not fully reliable as a “stand alone” assay, because different pathways of cell death probably play different roles and show different dose response within the overal reaction of the irradiated tissue or critical organ. Such tests should become a part of the multiparametric predictive platforms.

APA, Harvard, Vancouver, ISO, and other styles

46

Foray, N. "SP-0353: Prediction of individual radiosensitivity: A centenary evidence, a recent possibility, a future necessity." Radiotherapy and Oncology 106 (March 2013): S138. http://dx.doi.org/10.1016/s0167-8140(15)32659-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Foray, N. "SP-0651 Healthy tissue response to a single fraction treatment : Impact of the individual radiosensitivity." Radiotherapy and Oncology 133 (April 2019): S344. http://dx.doi.org/10.1016/s0167-8140(19)31071-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Greve, Burkhard, Kristin Dreffke, Astrid Rickinger, Stefan Könemann, Eberhard Fritz, Friederike Eckardt-Schupp, Susanne Amler, et al. "Multicentric investigation of ionising radiation-induced cell death as a predictive parameter of individual radiosensitivity." Apoptosis 14, no. 2 (January 14, 2009): 226–35. http://dx.doi.org/10.1007/s10495-008-0294-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Sevriukova, Olga, Aista Plieskienė, Kamilė Guogytė, Rima Ladygienė, Julius Žiliukas, and Vinsas Janušonis. "EFFECT OF RADIOTHERAPY-INDUCED ALTERATION OF INDIVIDUAL RADIOSENSITIVITY ON DEVELOPMENT OF SIDE EFFECT IN CANCER PATIENTS." Health Sciences 30, no. 7 (January 5, 2021): 48–52. http://dx.doi.org/10.35988/sm-hs.2020.176.

Full text

Abstract:

Ionizing radiation is commonly used for cancer treatment. Human response to the same dose of ionizing radiation can vary among individuals, therefore individual radiosensitivity (IRS) was proposed to be an important factor for development of radiotherapy (RT) related side effects. Ionizing radiation especially at low doses can modify organism sensitivity causing its sensitization or adaptation to further exposure, thus IRS of cancer patient can change during RT and so effect the development of normal tissue toxicity as well. Therefore, objective of our study was to determine the correlation between IRS of prostate cancer patients during RT and outcome of treatment adverse reactions. This pilot study included six prostate cancer patients without previous exposure to ionizing radiation treated with salvage RT. IRS was assessed using G2 chromosomal radiosensitivity assay with G2-checkpoint abrogation by caffeine three times for each patient: prior RT, after first fraction, and after completing treatment and acute genitourinary (GU) and gastrointestinal (GI) toxicity were reported. It was found that three of selected patients experienced grade 1-2 RT acute GU/GI toxicity. According to IRS tests, before RT two patients were classified as normal, two – as radiosensitive, and two – as highly radiosensitive. After the first fraction there were three individuals classified as nor-mal, one patient remained radiosensitive and two others felt to the highly radiosensitive group. After completion of treatment, the distribution of IRS in selected patients recovered to that observed before the treatment. Despite that pattern of IRS changes during RT varied in every patient, the common tendencies and their correlation with the development of toxicity was observed. It was found that, IRS of patient experienced adverse reaction riced during RT, meanwhile in patients without side effects it decreased. So, it could be concluded that difference in radiation-induced IRS alteration tendency could be reflected in pattern of adverse reaction development. This phenomenon could be associated with attribute of preexposure to initiate individually either an adaptive response increasing resistance to further irradiation or sensitization. Therefore, further investigations of more RT patients employing G2 assay are foreseen to reveal the possible correlation between IRS and adverse clinical outcome of RT.

APA, Harvard, Vancouver, ISO, and other styles

50

Patrono, Clarice, Silvia Sterpone, Antonella Testa, Laura Verna, Valentina Palma, Piercarlo Gentile, and Renata Cozzi. "Polymorphisms in X-Ray Repair Cross-Complementing Group 1 Gene: Haplotypes, Breast Cancer Risk and Individual Radiosensitivity." Open Medicine Journal 2, no. 1 (July 31, 2015): 25–30. http://dx.doi.org/10.2174/1874220301401010025.

Full text

Abstract:

The aim of this paper is to analyse the role exerted by X-ray repair cross-complementing group 1 (XRCC1) genetic polymorphisms and haplotypes in increasing breast cancer risk and in modulating radiotherapy-induced adverse reactions. An Italian cohort of breast cancer patients and a matching group of healthy controls were genotyped for XRCC1-77T>C, Arg194Trp and Arg399Gln polymorphisms. Our data indicated that polymorphisms at codon 399 and at -77 position of the 5’-untraslated region both contribute to cancer risk. We also showed that the haplotype H3, containing the wild-type allele at codon 194 and the variant alleles at codon 399 and at -77 position is significantly associated with an increased risk of breast cancer. We found no statistical association between XRCC1 SNPs and individual radiosensitivity.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!