2021
DOI: 10.1038/s41588-021-00949-1
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The context-specific role of germline pathogenicity in tumorigenesis

Abstract: Human cancers arise from environmental, heritable, and somatic factors, but how these mechanisms interact in tumorigenesis is poorly understood. Studying 17,152 prospectively sequenced cancer patients, we identified pathogenic germline variants in cancer predisposition genes and assessed their zygosity and co-occurring somatic alterations in the concomitant tumors. Two major routes to tumorigenesis were apparent. In carriers of pathogenic germline variants in high penetrance genes (5.1% overall), lineage-depen… Show more

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Cited by 55 publications
(62 citation statements)
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“…Considering the proportion of replicated hits to the number of re-tested hits, the validation rate was ~2.5 times higher for the recessive model (Supplementary Fig. 12e ), which was expected since many DNA repair genes are likely haplosufficient 63 , 64 .…”
Section: Resultsmentioning
confidence: 85%
“…Considering the proportion of replicated hits to the number of re-tested hits, the validation rate was ~2.5 times higher for the recessive model (Supplementary Fig. 12e ), which was expected since many DNA repair genes are likely haplosufficient 63 , 64 .…”
Section: Resultsmentioning
confidence: 85%
“…63,64 In regards to this, the recently created SignalDB constitutes a good example of a useful resource that provides information about pathogenic germline variants and their corresponding tumor-specific zygosity changes stratified by gene, lineage, and cancer type based on a large clinical cohort of patients sequenced with NGS panels. 33 When it comes to prognosis, NGS panels can be used within the clinical setting to identify biomarkers with FDA or professional guideline-recognized prognostic implications such as those curated by the OncoKB knowledge base in hematological malignancies. 28 More generally, certain machine learning tools like Oncocast 65 have been designed to build personalized profiles that integrate clinical and genomic features derived from NGS data for risk stratification and prediction of recurrence.…”
Section: Targeted Ngs Panels In Cancer Research and Clinical Carementioning
confidence: 99%
“…Furthermore, targeted NGS panels can be used to identify germline variants in cancer predisposition genes and provide clinically actionable information for risk reduction in family members, reproductive planning, and selection of targeted therapies 63,64 . In regards to this, the recently created SignalDB constitutes a good example of a useful resource that provides information about pathogenic germline variants and their corresponding tumor‐specific zygosity changes stratified by gene, lineage, and cancer type based on a large clinical cohort of patients sequenced with NGS panels 33 . When it comes to prognosis, NGS panels can be used within the clinical setting to identify biomarkers with FDA or professional guideline‐recognized prognostic implications such as those curated by the OncoKB knowledge base in hematological malignancies 28 .…”
Section: Targeted Ngs Panels In Cancer Research and Clinical Carementioning
confidence: 99%
“…A single paper analyzed the genome of several metachronous tumors in a BAP1 -TPDS patient [ 29 ]. In a recent study involving 17,152 patients with different tumor types, Srinivasan et al reported some information of the somatic genome of six patients with TPDS [ 30 ].…”
Section: Introductionmentioning
confidence: 99%