Dissertations / Theses on the topic 'Breast – Cancer – Genetic aspects'
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Chiu, Yuk-tim, and 趙玉甜. "Sirtuin 6 expression in breast cancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48541254.
Full textpublished_or_final_version
Pathology
Master
Master of Medical Sciences
Lau, Tsz-kwan, and 劉子筠. "The expression of RIP140 in breast cancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193544.
Full textpublished_or_final_version
Pathology
Master
Master of Medical Sciences
Wong, Yim-han, and 黃艷嫺. "Expression of sirtuin 1 in breast cancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193549.
Full textpublished_or_final_version
Pathology
Master
Master of Medical Sciences
Flach, Susanne. "Structural variation of the genome in breast cancer." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648565.
Full textCheng, Wan-biu, and 鄭雲標. "Genetic analysis on the EPHB2 gene in breast cancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B45009946.
Full textWu, Lai-han, and 胡麗嫻. "Expression of FOXO3a in breast cancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B45011515.
Full textWebster, Lucy R. "Diagnostic molecular profiling of ductal carcinoma in situ of the breast." Thesis, The University of Sydney, 2007. https://hdl.handle.net/2123/28109.
Full textKhoo, Ui-soon, and 邱瑋璇. "Genetic susceptibility to gynaecological cancers in the Chinese population." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B25257365.
Full text陳遠光 and Yuen-kwong Chan. "Study on the role of genetic and epigenetic factors in relation to theBRCA genes in epithelial ovarian cancers." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B42576726.
Full text馮敬業 and King-yip Fung. "Screening of recurrent BRCA gene mutations in Chinese breast and ovarian cancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31969720.
Full textIddawela, Mahesh Yasantha Bandara. "Genome wide copy number and gene expression profiling using archived tissue for molecular marker studies in breast cancer." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609626.
Full textTang, Kei-shuen, and 鄧紀旋. "Role of BRCA1 in stress-induced autophagy in breast and ovarian cancercells." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B45847204.
Full textMichailidou, Kyriaki. "Statistical analyses of genome-wide association studies in breast cancer." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708642.
Full textAgenbag, Gloudi. "Molecular genetic analysis of familial breast cancer in South Africa." Thesis, Link to the online version, 2005. http://hdl.handle.net/10019/953.
Full textCheuk, Tin-hoi, and 卓殿凱. "CXCR4 and FOXO3a expression in breast cancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46632360.
Full textLesniak, Karen. "Psychological and Sociodemographic Predictors of Psychological Distress in BRCA1 and BRCA2 Genetic Testing Participants within a Community Based Genetic Screening Program." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2565/.
Full textWu, Pei Hsin, and 吳佩欣. "The expression of transcription factors TWIST and Snail in breast cancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B47468907.
Full textpublished_or_final_version
Pathology
Master
Master of Medical Sciences
Harrison, Hannah. "Oestrogen and Notch Signalling in the Regulation of Human Breast cancer Initiating cells." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492869.
Full textWade, Walsh Margo. "Women Receiving Genetic Counseling for Breast Cancer Risk: Cancer Worry, Psychological Distress, and Risk Recall Accuracy." Thesis, University of North Texas, 1999. https://digital.library.unt.edu/ark:/67531/metadc2185/.
Full textLi, Shao Ying. "Study of the role of DNA methylation and PIK3CA mutations in human breast cancer." University of Western Australia. School of Surgery and Pathology, 2006. http://theses.library.uwa.edu.au/adt-WU2006.0031.
Full textTing, Kam-po, and 丁金寶. "Study of minichromosome-maintenance-deficient 4 (MCM4) gene in breast cancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B4357211X.
Full textKwong, Ava, and 鄺靄慧. "Phenotypic and genotypic epidemiological studies of Hong Kong Chinese patients with hereditary breast cancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50534002.
Full textpublished_or_final_version
Surgery
Doctoral
Doctor of Philosophy
Zhu, Li, and 朱麗. "Determination of predictive markers related to micro-metastasis in breast cancer patients." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B30330919.
Full textTse, Yuk-ting Edith, and 謝玉婷. "Estrogen receptor gene polymorphisms and breast cancer risk in the Chinese population." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B38709466.
Full textElliott, Diana. "The impact of genetic counselling for familial breast cancer on women's psychological distress, risk perception and understanding of BRCA testing." University of Western Australia. School of Population Health, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0190.
Full textLoh, Yet Hua. "Diet, MGMT and SMAD7 gene variants and breast, prostate and colorectal cancer risk : results from the EPIC-Norfolk study." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608981.
Full textWong, Janice, and 黃正而. "Genetic polymorphism of BRCA2 minor variant in breast cancer of Hong Kong Chinese population." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B48541874.
Full textpublished_or_final_version
Pathology
Master
Master of Medical Sciences
胡夕春 and Xichun Hu. "Study on the use of potential prognostic parameters in breast cancer patients." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B30158138.
Full textLau, Lai-yee, and 劉麗儀. "Identification of microRNAs associated with tamoxifen resistance in breast cancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47235792.
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Pathology
Doctoral
Doctor of Philosophy
Leung, Wai Ching-wa Gina, and 衛靜華. "The influence of flutamide, tamoxifen and dietary fat on hormone-induced mammary carcinogenesis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B42576830.
Full textChen, Jie, and 陈洁. "The role of FOXO3a in the development of chemoresistance in breast cancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47234519.
Full textpublished_or_final_version
Pathology
Doctoral
Doctor of Philosophy
Hamdi, Yosr. "Evaluation of the association between common genetic variants and breast cancer risk." Doctoral thesis, Université Laval, 2017. http://hdl.handle.net/20.500.11794/28384.
Full textBreast cancer is the most common malignancy in women. A set of environmental and genetic factors are involved in this complex disease. This project focused on the genetic components of breast cancer susceptibility and breast cancer risk modification in BRCA1 and BRCA2 mutation carriers. Currently, about half of the inherited susceptibility to breast cancer can be imputed to a combination of high-, intermediate-, and low-risk alleles. Thus, many as yet unknown susceptibility loci remain to be identified. Moreover, recent studies have provided evidence for the involvement of genetic risk factors that might considerably modify the risk of developing breast cancer in BRCA1 and BRCA2 mutation carriers. Furthermore, genome-wide association studies have shown that several genetic variants within non-coding gene regions are associated with breast cancer risk. In this project, we focused on regulatory gene variants and their association with breast cancer risk. The project was divided in two parts. In the first section, we evaluated the direct association between single-nucleotide polymorphisms associated with differential allelic expression and breast cancer risk in order to identify new loci of breast cancer susceptibility. In the second part, we evaluated the functional impact on gene expression of variants identified within the promoter regions of selected candidate genes and then, characterize the functional impact of these variants. In summary, the first part of this project has led to the identification of a new low-penetrance locus associated with breast cancer risk on the 4q21 locus (rs11099601; odds ratio=1.05, p= 6.4 x 10-6), and two new modifiers of breast cancer risk in BRCA1 mutations carriers (11q22.3 locus and the wild type allele of BRCA1). The second part of the project allowed us to describe new functional variants within the promoters of the selected breast cancer gene candidates. Other association studies in larger cohorts and further functional analysis will be required to confirm these results, which will allow their inclusion in breast cancer risk prediction tools and thus ensure a more accurate estimation of breast cancer risk.
Gerber, Jaclyn. "Cytochrome P450 polymorphisms : relevance in two South African disease populations." Thesis, Stellenbosch : Stellenbosch University, 2003. http://hdl.handle.net/10019.1/53345.
Full textENGLISH ABSTRACT: With knowledge of the human genome increasing constantly we are continually faced with new and potentially groundbreaking methods for managing, treating and/or identifying diseases and predisposition to diseases and conditions at a genetic level. The human cytochrome P450 (CYP) super-family of genes code for enzymes that can participate in metabolism of drugs and foreign chemicals and in steroid synthesis and metabolism. Mutations in these genes may contribute to clinically relevant diseases. In this study, the effects of mutations within four CYP genes were evaluated in two South African disease groups - variegate porphyria and breast cancer. Variegate porphyria (VP) has an unusually high incidence in South Africa due to the R59W founder mutation in the protoporphyrinogen oxidase (PPOX) gene that causes a disruption in the haem biosynthetic pathway. VP presents with variable clinical symptoms and has a relatively low penetrance. It is expected that environmental factors and modifier genes play a role in the clinical expression of VP. CYP genes are implicated as candidate modifier genes for the expression of VP due to the function they have in metabolising many drugs contraindicated in porphyria patients, and the necessity of haem binding to the apoprotein to produce a functional CYP enzyme. This is the first study to investigate CYPs as possible modifier genes for VP clinical expression. Six CYP polymorphisms (CYPIAlml, CYPIAlm2, CYPIA2 - 734 C>A, CYPIBI 8372 A>C, CYP2D6*3, CYP2D6*4), associated with four CYP loci, were genotyped in a VP population and a suitable control population. The results observed are suggestive of CYPIAlml and CYPIBI playing a role as modifiers for the clinical expression of VP as they were significantly associated (P
AFRIKAANSE OPSOMMING: Met die konstante toename van kennis oor die mensgenoom kom ons voortdurend te staan voor nuwe metodes vir die beheer, behandeling en/of identifikasie van siektes en vatbaarheid vir siektes op 'n genetiese vlak. Die mens sitochroom P450 geensuperfamilie kodeer vir ensieme betrokke in die metabolisme van medisyne en ander chemiese stowwe en steroïed-sintese en -metabolisme. Mutasies in hierdie gene kan 'n bydrae lewer tot kliniese relevante siektes. In hierdie studie is die effek van mutasies in vier sitochroom gene bestudeer in twee Suid-Afrikaanse siekte groepe, variegate porfirie en borskanker. Variegate porfirie (VP) het 'n besonderse hoë frekwensie in Suid-Afrika as gevolg van die R59W stigter-mutasie in die protoporfirinogeen oksidase (PPOX) geen. Hierdie mutasie lei tot 'n versteuring in die heem biosintese padweg. VP presenteer met variërende kliniese simptome en het 'n betreklike lae penetrasie. Daar word vermoed dat omgewingsfaktore en kandidaat modifiserende gene 'n rol speel in die kliniese beeld van VP. Sitochroom P450 gene is geïdentifiseer as kandidaat modifiserende gene as gevolg van hulle rol in die metabolisme van verbode medikasie vir porfirie pasiënte, asook die binding van heem aan die apoproteïen wat noodsaaklik is vir die produksie van funksionele sitochroom P450 ensiem. Hierdie is die eerste studie wat sitochroom P450 gene as moontlike modifiserende gene vir die kliniese uitdrukking van VP ondersoek. Ses sitochroom P450 polimorfismes (CYPIAlml, CYPIAlm2, CYPIA2 -734 C>A, CYPIBI 8372 A>C, CYP2D6*3, CYP2D6*4) is ondersoek in beide 'n VP populasie en 'n geskikte kontrole populasie. Die resultate suggereer 'n rol vir CYPIAlml en CYPIBI in die modifisering van die kliniese uitdrukking van VP aangesien hulle betekenisvolle assosiasie (P
Dedeurwaerder, Sarah. "Biological and clinical relevance of epigenetic modifications in human breast cancers." Doctoral thesis, Universite Libre de Bruxelles, 2011. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209896.
Full textIn the first study, by performing large genome-scale DNA methylation profiling of numerous breast tumors as well as of normal breast tissues, we first revealed the existence of six groups of breast tumors based on their DNA methylation profiles. Three of these groups showed a strong association with the basal-like, HER2 and luminal A breast cancer subtypes, previously identified by gene expression profiling. Interestingly, the three other groups were found to be a mixture of several gene expression-based subtypes, thus revealing the capacity of DNA methylation profiling to improve breast tumor taxonomy. Second, our study suggests that the establishment of DNA methylation patterns of breast tumors might help to determine their cell type of origin. Finally, we also showed that DNA methylation profiling can reflect the cell type composition of the tumor microenvironment and that a signature of T cell tumoral infiltration is associated with a good prognosis in particular categories of breast cancer patients.
In the second study, we revealed the clinical relevance of the KDM5 histone demethylases in breast cancer. The expression of these histone demethylases was deregulated in the analyzed breast tumors as well as in the pre-invasive samples as compared to normal breast samples. This suggests that KDM5 enzymes might be good markers for early diagnosis of breast cancer. Moreover, we showed a prognostic value of the KDM5C histone demethylase.
In conclusion, the above data should provide a better understanding of breast cancer biology and diversity, and this should bring new insights to improve breast cancer patient management.
Doctorat en Sciences biomédicales et pharmaceutiques
info:eu-repo/semantics/nonPublished
Zheng, Ying. "The study of exosomes and microvesicles secreted from breast cancer cell lines." Thesis, University of St Andrews, 2012. http://hdl.handle.net/10023/3464.
Full textGong, Chun, and 龚纯. "Regulation of estrogen receptor alpha expression by translation or degradation and the relevance to tamoxifen resistance in breastcancer." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B50534191.
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Pathology
Master
Master of Philosophy
Lui, Lik-hang Eric, and 雷力恒. "Aberrant methylation of E-cadherin gene (ECAD) in invasive ductal breast carcinoma." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B4501016X.
Full textKeenan, Lisa A. "Family Environment, Social Support, and Psychological Distress of Women Seeking BRCA1 and BRCA2 Genetic Mutation Testing." Thesis, University of North Texas, 2002. https://digital.library.unt.edu/ark:/67531/metadc3240/.
Full textStieber, Daniel. "Analyse génétique de la sensibilité au cancer mammaire." Doctoral thesis, Universite Libre de Bruxelles, 2005. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211000.
Full textHaibe-Kains, Benjamin. "Identification and assessment of gene signatures in human breast cancer." Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210348.
Full textThe traditional approach to evaluating breast cancer prognosis is based on the assessment of clinico-pathologic factors known to be associated with breast cancer survival. These factors are used to make recommendations about whether further treatment is required after the removal of a tumor by surgery. Treatment such as chemotherapy depends on the estimation of patients' risk of relapse. Although current approaches do provide good prognostic assessment of breast cancer survival, clinicians are aware that there is still room for improvement in the accuracy of their prognostic estimations.
In the late nineties, new high throughput technologies such as the gene expression profiling through microarray technology emerged. Microarrays allowed scientists to analyze for the first time the expression of the whole human genome ("transcriptome"). It was hoped that the analysis of genome-wide molecular data would bring new insights into the critical, underlying biological mechanisms involved in breast cancer progression, as well as significantly improve prognostic prediction. However, the analysis of microarray data is a difficult task due to their intrinsic characteristics: (i) thousands of gene expressions are measured for only few samples; (ii) the measurements are usually "noisy"; and (iii) they are highly correlated due to gene co-expressions. Since traditional statistical methods were not adapted to these settings, machine learning methods were picked up as good candidates to overcome these difficulties. However, applying machine learning methods for microarray analysis involves numerous steps, and the results are prone to overfitting. Several authors have highlighted the major pitfalls of this process in the early publications, shedding new light on the promising but overoptimistic results.
Since 2002, large comparative studies have been conducted in order to identify the key characteristics of successful methods for class discovery and classification. Yet methods able to identify robust molecular signatures that can predict breast cancer prognosis have been lacking. To fill this important gap, this thesis presents an original methodology dealing specifically with the analysis of microarray and survival data in order to build prognostic models and provide an honest estimation of their performance. The approach used for signature extraction consists of a set of original methods for feature transformation, feature selection and prediction model building. A novel statistical framework is presented for performance assessment and comparison of risk prediction models.
In terms of applications, we show that these methods, used in combination with a priori biological knowledge of breast cancer and numerous public microarray datasets, have resulted in some important discoveries. In particular, the research presented here develops (i) a robust model for the identification of breast molecular subtypes and (ii) a new prognostic model that takes into account the molecular heterogeneity of breast cancers observed previously, in order to improve traditional clinical guidelines and state-of-the-art gene signatures./Cette thèse concerne le développement de techniques d'apprentissage (machine learning) afin de mettre au point de nouveaux outils cliniques basés sur des données moleculaires. Nous avons focalisé notre recherche sur le cancer du sein, un des cancers les plus fréquemment diagnostiqués. Ces outils sont développés dans le but d'aider les médecins dans leur évaluation du devenir clinique des patients cancéreux (cf. le pronostique).
Les approches traditionnelles d'évaluation du pronostique d'un patient cancéreux se base sur des critères clinico-pathologiques connus pour être prédictifs de la survie. Cette évaluation permet aux médecins de décider si un traitement est nécessaire après l'extraction de la tumeur. Bien que les outils d'évaluation traditionnels sont d'une aide importante, les cliniciens sont conscients de la nécessité d'améliorer de tels outils.
Dans les années 90, de nouvelles technologies à haut-débit, telles que le profilage de l'expression génique par biopuces à ADN (microarrays), ont été mises au point afin de permettre aux scientifiques d'analyser l'expression de l'entièreté du génôme de cellules cancéreuses. Ce nouveau type de données moléculaires porte l'espoir d'améliorer les outils pronostiques traditionnels et d'approfondir nos connaissances concernant la génèse du cancer du sein. Cependant ces données sont extrêmement difficiles à analyser à cause (i) de leur haute dimensionalité (plusieurs dizaines de milliers de gènes pour seulement quelques centaines d'expériences); (ii) du bruit important dans les mesures; (iii) de la collinéarité entre les mesures dûe à la co-expression des gènes.
Depuis 2002, des études comparatives à grande échelle ont permis d'identifier les méthodes performantes pour l'analyse de groupements et la classification de données microarray, négligeant l'analyse de survie pertinente pour le pronostique dans le cancer du sein. Pour pallier ce manque, cette thèse présente une méthodologie originale adaptée à l'analyse de données microarray et de survie afin de construire des modèles pronostiques performants et robustes.
En termes d'applications, nous montrons que cette méthodologie, utilisée en combinaison avec des connaissances biologiques a priori et de nombreux ensembles de données publiques, a permis d'importantes découvertes. En particulier, il résulte de la recherche presentée dans cette thèse, le développement d'un modèle robuste d'identification des sous-types moléculaires du cancer du sein et de plusieurs signatures géniques améliorant significativement l'état de l'art au niveau pronostique.
Doctorat en Sciences
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Feinstein, Carla Fran. "Dying to Know." PDXScholar, 2010. https://pdxscholar.library.pdx.edu/open_access_etds/1318.
Full textPiessevaux, Géraldine. "Analyse génétique du cancer du mammaire chez le rat: étude de lignées congéniques." Doctoral thesis, Universite Libre de Bruxelles, 2008. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210376.
Full textLodder, Lidewij Nathanja. "Dealing with the risk for hereditary breast and ovarian cancer a prospective study on psychological consequences of choices on genetic testing, surveillance and prophylactic surgery /." [S.l.] : Rotterdam : [The Author] ; Erasmus University [Host], 2001. http://hdl.handle.net/1765/13815.
Full textEqueter, Carole. "Analyse des profils d'expression génique des lymphocytes T CD4+ chez les patientes atteintes d'un cancer du sein." Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210249.
Full textSur base de l’établissement des profils d’expression génique des lymphocytes T infiltrant les tumeurs, nous avons dérivé la « tumor-infiltrating CD4+ signature » (TICD4S) composée de 61 gènes immuns et qui reflète l’état d’activation immunitaire. Cette signature présente une valeur prédictive chez les patientes porteuses de tumeurs ERBB2-positives et ER-négative/PR-négative/ERBB2-négative: une plus forte expression de ces gènes est associée à une meilleure survie.
Nous avons également étudié conjointement les profils géniques établis au départ des lymphocytes T CD4+ de la tumeur, du ganglion axillaire et du sang de dix patientes. Nous avons constaté que ces profils d’expression génique des TIL CD4+ diffèrent selon le statut ER de la tumeur qu’ils infiltrent. Les lymphocytes T ganglionnaires CD4+ subissent également les effets de la masse tumorale et, tout comme les TIL, sont moins activés chez les patientes porteuses de tumeurs ER-négatives. Par contre, les lymphocytes T sanguins semblent subir dans une moindre mesure les effets de la tumeur et peu de différences ont été notées par rapport à leurs homologues isolés chez des donneuses saines.\
Doctorat en Sciences
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González-Zuloeta, Ladd Angela Maria. "Genetic determinants of breast cancer." [S.l.] : Rotterdam : [The Author] ; Erasmus University [Host], 2007. http://hdl.handle.net/1765/10525.
Full textHussien, M. "Folate status, genetic damage and breast cancer." Thesis, Queen's University Belfast, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269044.
Full textGentile, Massimiliano. "Genetic alterations in early onset breast cancer /." Linköping : Univ, 2001. http://www.bibl.liu.se/liupubl/disp/disp2001/med686s.pdf.
Full textWedrén, Sara. "Genetic susceptibility to breast and endometrial cancer /." Stockholm, 2004. http://diss.kib.ki.se/2004/91-7140-053-2/.
Full textFord, Deborah. "Genetic epidemiology of breast and ovarian cancer." Thesis, Institute of Cancer Research (University Of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367527.
Full textMackay, James. "Molecular genetic studies in human breast cancer." Thesis, University of Edinburgh, 1989. http://hdl.handle.net/1842/19076.
Full text