Dataset Information

Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer.

ABSTRACT: The clinical use of molecular tumor profiling (MTP) is expanding and there is an increasing use of MTP data to manage patient care. At the University of Colorado, 18 patients were diagnosed with primary serous ovarian cancer between 9/2015 and 6/2019 and consented for banking and analysis of tumor, ascites and plasma. All 18 patients had tumor and plasma samples that were sent for MTP, and 13 of 18 patients additionally had ascites collected and sent for MTP. 50-gene panel testing and BRCA testing were performed on primary tumor. BRCA genetic variants were more likely to be identified in plasma as compared to ascites or tumor, though not statistically significant (P = 0.17). Co-occurring genetic variants between plasma and ascites were less common in comparison to co-occurring variants between tumor and plasma or tumor and ascites, though not statistically significant (P = 0.68). Variants in KDR (VEGFR2) and TP53 were most likely to be conserved across all 3 biocompartments. Mutant allele frequencies (MAF) of individual genetic variants varied across biocompartments, though tended to be highest in the tumor, followed by ascites.

SUBMITTER: Sanders BE

PROVIDER: S-EPMC8246573 | biostudies-literature | 2021 Jan-Dec

REPOSITORIES: biostudies-literature

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Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer.

Sanders Brooke E BE Ku Lisa L Walker Paul P Bitler Benjamin G BG

Technology in cancer research & treatment 20210101

The clinical use of molecular tumor profiling (MTP) is expanding and there is an increasing use of MTP data to manage patient care. At the University of Colorado, 18 patients were diagnosed with primary serous ovarian cancer between 9/2015 and 6/2019 and consented for banking and analysis of tumor, ascites and plasma. All 18 patients had tumor and plasma samples that were sent for MTP, and 13 of 18 patients additionally had ascites collected and sent for MTP. 50-gene panel testing and BRCA testi ...[more]

PMID: 34169762

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Project description:BACKGROUND:Mitochondria are the site of oxidative phosphorylation, a process which generates reactive oxygen species (ROS). Elevated ROS levels can lead to oxidative stress, a cellular state implicated in carcinogenesis. It is hypothesized that alternations in mitochondrial (MT) DNA, including heritable MT single nucleotide polymorphisms (MT-SNPs), have the potential to change the capacity of MT function, leading to increased oxidative stress and cancer risk. We investigated if common MT-SNPs and/or haplogroups and are associated with invasive serous ovarian cancer (OvCa) risk. METHODS:A panel of 64 MT-SNPs designed to tag all common variation in the European MT genome (minor allele frequency (MAF) >1%, r^2 >0.8) was genotyped in study participants of European descent using the Sequenom MassARRAY iPlex Gold® system (Sequenom Inc, CA, USA). Invasive serous OvCa cases (n?=?405) and frequency age-matched controls (n?=?445) were drawn from a population-based case-control study of OvCa in western Canada. Binary logistic regression was used to estimate the odds ratio (OR) and 95% confidence intervals (C.I.) for carriage of the minor versus major allele by case-control status. MitoTool was used to test the relationship between European haplogroup status and case-control status using Fisher's exact test. RESULTS:The most significant disease-SNP association was for rs2857285, a synonymous MT-SNP in ND4 (OR?=?4.84, 95% CI: 1.03-22.68, P?=?0.045). After adjustment for multiple testing using a Bonferroni correction of the Type 1 error this MT-SNP was not significant. No other MT-SNP had a P-value?<?0.05. European haplogroup status was not associated with case status. Most MT-SNPs (73%) genotyped had a MAF <5%. CONCLUSION:Common European MT-SNPs (MAF?>?5%) and haplogroups were not associated with invasive serous OvCa risk in this study; however, most European MT-SNPs have a low MAF (<5%), which we were underpowered to adequately assess. Larger studies are needed to clarify the role of low MAF MT-SNPs (MAF?<?5%) in invasive serous OvCa risk.

Dataset Information

Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer.

Publications

Assessing Genetic Variants in Matched Biocompartments From Patients With Serous Ovarian Cancer.

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