Investigator

M Jones

Cedars Sinai Medical Center

Research Interests

MJM Jones
Papers(3)
Copy Number Variants …Integrative multi-omi…Novel driver gene MDC…
Collaborators(10)
Nicolas WentzensenP. M. WebbSiddhartha P. KarUsha MenonWeiva SiehA Heather EliassenAlicja WolkAllan JensenArgyrios ZiogasElio Riboli
Institutions(11)
Cedars Sinai Medical …Division Of Cancer Ep…QIMR Berghofer Medica…University of Cambrid…University College Lo…The University of Tex…Harvard UniversityKarolinska InstitutetDanish Cancer SocietyUniversity of Califor…Imperial College Lond…

Papers

Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci

AbstractBackgroundKnown risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort.MethodsSingle nucleotide polymorphism array data from 13 071 EOC cases and 17 306 controls of White European ancestry were used to identify CNVs associated with EOC risk using a rare admixture maximum likelihood test for gene burden and a by-probe ratio test. We performed enrichment analysis of CNVs at known EOC risk loci and functional biofeatures in ovarian cancer–related cell types.ResultsWe identified statistically significant risk associations with CNVs at known EOC risk genes; BRCA1 (PEOC = 1.60E-21; OREOC = 8.24), RAD51C (Phigh-grade serous ovarian cancer [HGSOC] = 5.5E-4; odds ratio [OR]HGSOC = 5.74 del), and BRCA2 (PHGSOC = 7.0E-4; ORHGSOC = 3.31 deletion). Four suggestive associations (P < .001) were identified for rare CNVs. Risk-associated CNVs were enriched (P < .05) at known EOC risk loci identified by genome-wide association study. Noncoding CNVs were enriched in active promoters and insulators in EOC-related cell types.ConclusionsCNVs in BRCA1 have been previously reported in smaller studies, but their observed frequency in this large population-based cohort, along with the CNVs observed at BRCA2 and RAD51C gene loci in EOC cases, suggests that these CNVs are potentially pathogenic and may contribute to the spectrum of disease-causing mutations in these genes. CNVs are likely to occur in a wider set of susceptibility regions, with potential implications for clinical genetic testing and disease prevention.

Novel driver gene MDC1 confers homologous recombination repair deficiency and genomic instability in chemoresistant relapsing ovarian cancer.

Nearly 80% of patients with High grade serous ovarian cancer (HGSOC) will experience recurrence within 5 years, but little is known about the mechanisms that drive this process. In this study we used whole genome sequencing to assess SNV and SV burdens. These were in turn used to estimate clonal dynamics, genomic scarring, and establish mutational patterns. Mutational burdens and clonal compositions are established early and are maintained throughout recurrence. Using both next generation and ultra long read sequencing to analyze single nucleotide and structural variants (SVs) we discovered that although tumors from the same patient remained relatively stable, homologous recombination repair proficient (HRP) and homologous recombination repair deficient (HRD) tumors presented with distinct clonal profiles. SV signature analysis revealed three distinct classes: tumors defined by DNA losses, DNA gains, and copy number neutral changes. Each class displayed structural variation affecting distinct regions of the genome. Ultra long read sequencing validated most of the SVs identified in short read sequencing and identified additional SVs. A novel candidate driver gene involved in DNA repair, MDC1, was significantly mutated in patients with HRP tumors. The phenotype of high grade serous ovarian tumors, as defined by mutation and clonality profiles, is established early in disease development and remain largely unchanged through chemotherapy and recurrence. This, when considered with the significant inter-patient heterogeneity identified in HGSOC, demonstrates the need for personalized therapies based on tumor profiling. Loss of MDC1 increases invasive properties in cell lines and may drive HRD in a subset of patients.

3Papers
16Collaborators