Department of Pathology

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Browsing Department of Pathology by browse.metadata.advisor "Bezuidenhout, Juanita"

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    Development and application of a pathology supported pharmacogenetic test for improved clinical management of South African patients with breast cancer and associated co-morbidities
    (Stellenbosch : Stellenbosch University, 2016-03) Van der Merwe, Nicole; Kotze, Maritha J.; Pienaar, Fredrieka; Janse van Rensburg, Susan; Bezuidenhout, Juanita; Stellenbosch University. Faculty of Medicine and Health Sciences. Dept. of Pathology. Anatomical Pathology.
    ENGLISH ABSTRACT: Three major challenges in the field of breast cancer have been identified as research priorities for this study. The first is the need to combine genetic testing of high-risk patients with familial breast cancer with pharmacogenetics to reduce recurrence risk in cancer survivors due to drug failure as a consequence of anti-cancer treatment that does not match the patient’s genotype. The second is the delineation of key pathways through which genes implicated in breast cancer and associated co-morbidities can serve as nutritional and drug targets across diagnostic boundaries. The third is the discovery of genetic alterations underlying familial breast cancer not attributed to mutations in the two major tumour suppressor genes, BRCA1 and BRCA2. The study population consisted of 164 breast cancer patients (60 Coloured/Mixed Ancestry and 104 Caucasian), of whom 88 patients were selected from a total of 813 individuals who provided informed consent for inclusion of their data in a genomics database resource generated at the interface between the laboratory and routine clinical practice. In addition, DNA samples of 101 cancer-free individuals above the age of 65 years were available for clinical validation of potentially causative variants in an extended female control group. In the first phase of this study, real-time polymerase chain reaction (PCR) TaqMan© technology was used to confirm the potential value of adding pharmacogenetic testing (CYP2D6 allele 4) to standard immunohistochemistry (IHC)-based breast tumour subtyping complemented by BRCA mutation screening and/or microarray gene profiling in eligible patients. In phase two of the study, common genetic risk factors for cardiovascular disease (CVD) were shown to be significantly associated with earlier age (10 years on average) of breast cancer onset/diagnosis (APOE E4 allele p=0.003; 95% CI: 4-15) and body mass index (BMI) (MTHFR 1298 A>C; p=0.01; 95% CI: 3-14) in patients stratified according to estrogen receptor (ER) status, after adjustment for potential confounders. Age at diagnosis/onset of breast cancer was significantly lower in patients with ER-negative versus ER-positive tumours, after adjustment for ethnicity (p=0.022), while BMI was significantly higher in patiens with ER-positive compared to ERnegative tumours after adjustment for age, ethnicity, and family history of cancer (p=0.035). These findings contributed to the development of an exome pre-screening algorithm (EPA) used in part 3 of this study to select three genetically uncharacterized breast cancer patients for whole exome sequencing (WES) performed in comparison with three ethnically concordant cancer-free controls. WES followed by variant calling using both the standard human genome reference sequence (hg19) and an ethnically concordant major allele reference genome (MARS) revealed a more than 20% discrepancy in the number of gene variants identified in the same samples. After exclusion of a large number of false-positives caused by minor alleles in hg19, two rare missense mutations (<1%) were identified in a family with ER-positive breast cancer: RAD50 R385C and MUC1 Q67E. Three different bioinformatics tools were used to predict functionality and both mutations were confirmed by Sanger sequencing and/or real-time PCR in the Pathology Research Facility (PRF) laboratory. Neither the RAD50 nor the MUC1 missense mutation were identified in the exomes of an unrelated breast cancer patient with triple-negative breast cancer or three population-matched control individuals. This study led to the development of a pathology-supported genetic testing framework for WES beyond the limitations of single-gene BRCA mutation screening in South African breast cancer patients. Our findings support previous WES results indicating that the majority of genetically uncharacterised familial breast cancer may be caused by a combination of low-moderate penetrance mutations exerting their effect in a high-risk environment reflected by high BMI. WES enables identification of genetic risk factors of relevance to both cancer development and tailored therapeutic intervention in a single genetic test.