Browsing by Subject "Germ-Line Mutation"
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Item Open Access Concordance Between Genomic Alterations Detected by Tumor and Germline Sequencing: Results from a Tertiary Care Academic Center Molecular Tumor Board.(The oncologist, 2023-01) Green, Michelle F; Watson, Catherine H; Tait, Sarah; He, Jie; Pavlick, Dean C; Frampton, Garrett; Riedel, Jinny; Plichta, Jennifer K; Armstrong, Andrew J; Previs, Rebecca A; Kauff, Noah; Strickler, John H; Datto, Michael B; Berchuck, Andrew; Menendez, Carolyn SObjective
The majority of tumor sequencing currently performed on cancer patients does not include a matched normal control, and in cases where germline testing is performed, it is usually run independently of tumor testing. The rates of concordance between variants identified via germline and tumor testing in this context are poorly understood. We compared tumor and germline sequencing results in patients with breast, ovarian, pancreatic, and prostate cancer who were found to harbor alterations in genes associated with homologous recombination deficiency (HRD) and increased hereditary cancer risk. We then evaluated the potential for a computational somatic-germline-zygosity (SGZ) modeling algorithm to predict germline status based on tumor-only comprehensive genomic profiling (CGP) results.Methods
A retrospective chart review was performed using an academic cancer center's databases of somatic and germline sequencing tests, and concordance between tumor and germline results was assessed. SGZ modeling from tumor-only CGP was compared to germline results to assess this method's accuracy in determining germline mutation status.Results
A total of 115 patients with 146 total alterations were identified. Concordance rates between somatic and germline alterations ranged from 0% to 85.7% depending on the gene and variant classification. After correcting for differences in variant classification and filtering practices, SGZ modeling was found to have 97.2% sensitivity and 90.3% specificity for the prediction of somatic versus germline origin.Conclusions
Mutations in HRD genes identified by tumor-only sequencing are frequently germline. Providers should be aware that technical differences related to assay design, variant filtering, and variant classification can contribute to discordance between tumor-only and germline sequencing test results. In addition, SGZ modeling had high predictive power to distinguish between mutations of somatic and germline origin without the need for a matched normal control, and could potentially be considered to inform clinical decision-making.Item Open Access Detecting Germline PTEN Mutations Among At-Risk Patients With Cancer: An Age- and Sex-Specific Cost-Effectiveness Analysis.(Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2015-08) Ngeow, Joanne; Liu, Chang; Zhou, Ke; Frick, Kevin D; Matchar, David B; Eng, CharisPurpose
Cowden syndrome (CS) is an autosomal dominant disorder characterized by benign and malignant tumors. One-quarter of patients who are diagnosed with CS have pathogenic germline PTEN mutations, which increase the risk of the development of breast, thyroid, uterine, renal, and other cancers. PTEN testing and regular, intensive cancer surveillance allow for early detection and treatment of these cancers for mutation-positive patients and their relatives. Individual CS-related features, however, occur commonly in the general population, making it challenging for clinicians to identify CS-like patients to offer PTEN testing.Patients and methods
We calculated the cost per mutation detected and analyzed the cost-effectiveness of performing selected PTEN testing among CS-like patients using a semi-quantitative score (the PTEN Cleveland Clinic [CC] score) compared with existing diagnostic criteria. In our model, first-degree relatives of the patients with detected PTEN mutations are offered PTEN testing. All individuals with detected PTEN mutations are offered cancer surveillance.Results
CC score at a threshold of 15 (CC15) costs from $3,720 to $4,573 to detect one PTEN mutation, which is the most inexpensive among the different strategies. At base-case, CC10 is the most cost-effective strategy for female patients who are younger than 40 years, and CC15 is the most cost-effective strategy for female patients who are between 40 and 60 years of age and male patients of all ages. In sensitivity analyses, CC15 is robustly the most cost-effective strategy for probands who are younger than 60 years.Conclusion
Use of the CC score as a clinical risk calculator is a cost-effective prescreening method to identify CS-like patients for PTEN germline testing.Item Open Access Survival Benefit of Germline BRCA Mutation is Associated with Residual Disease in Ovarian Cancer.(Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology, 2018-01) Shi, Tingyan; Wang, Pan; Tang, Wenbin; Jiang, Rong; Yin, Sheng; Shi, Di; Wang, Qing; Wei, Qingyi; Zang, RongyuBACKGROUND/AIMS:Prognostic value of germline BRCA1 or BRCA2 (gBRCA1/2) mutations in epithelial ovarian cancer (EOC) remains controversial, especially in the estimation of long-term survival. We previously reported the largest study of gBRCA1/2 mutation prevalence in Chinese EOC patients. The aim of this study is to further illustrate the correlation of residual disease and survival in BRCA-associated EOC in China. METHODS:In the current cohort consisting of 615 cases from the Chinese EOC genome-wide association study, we evaluated the association between gBRCA1/2 mutation and clinical outcomes. RESULTS:Overall, we did not find any significant difference between gBRCA1/2 mutation carriers and non-carriers in both progression-free survival (PFS) and overall survival (OS) (19.3 vs. 18.1 months and 77.2 vs. 73.2 months, P=0.528 and 0.147, HR 0.93 and 0.79, 95%CI 0.74-1.17 and 0.57-1.09, respectively). However, within three years after diagnosis, mutation carriers showed a longer OS than non-carriers (P=0.018, HR 0.53, 95%CI 0.31-0.90). Such a survival advantage decreased along with the extension of follow-up time. Quite interestingly, in the subgroup of patients with gross residual disease, mutation carriers had a longer survival than non-carriers (18.5 vs. 15.1 months and 68.5 vs. 54.3 months, P=0.046 and 0.038, HR 0.74 and 0.65, 95% CI 0.55-1.00 and 0.43-0.98, for PFS and OS respectively). CONCLUSIONS:Our findings provided the evidence that gBRCA1/2 mutation was not associated with survival in Chinese EOC patients, which possibly attributed to more than 37% of the patients without gross residual disease. Survival benefit of gBRCA1/2 mutation was prominent in ovarian cancer patients with gross residual disease.