Whole-genome and transcriptome analysis enhances precision cancer treatment options.

Background: Recent advances are enabling delivery of precision genomic medicine to cancer clinics. While the majority of approaches profile panels of selected genes or hotspot regions, comprehensive data provided by whole-genome and transcriptome sequencing and analysis (WGTA) present an opportunity to align a much larger proportion of patients to therapies.

Patients And Methods: Samples from 570 patients with advanced or metastatic cancer of diverse types enrolled in the Personalized OncoGenomics (POG) program underwent WGTA.

A platform for oncogenomic reporting and interpretation.

Manual interpretation of variants remains rate limiting in precision oncology. The increasing scale and complexity of molecular data generated from comprehensive sequencing of cancer samples requires advanced interpretative platforms as precision oncology expands beyond individual patients to entire populations. To address this unmet need, we introduce a Platform for Oncogenomic Reporting and Interpretation (PORI), comprising an analytic framework that facilitates the interpretation and reporting of somatic variants in cancer.

Base excision repair deficiency signatures implicate germline and somatic aberrations in pancreatic ductal adenocarcinoma and breast cancer oncogenesis.

We report a case of early-onset pancreatic ductal adenocarcinoma in a patient harboring biallelic germline mutations, whose tumor featured somatic mutational signatures consistent with defective -mediated base excision repair and the associated driver transversion mutation p.Gly12Cys. Analysis of an additional 730 advanced cancer cases ( = 731) was undertaken to determine whether the mutational signatures were also present in tumors from germline heterozygote carriers or if instead the signatures were only seen in those with biallelic loss of function.

MAVIS: merging, annotation, validation, and illustration of structural variants.

Summary: Reliably identifying genomic rearrangements and interpreting their impact is a key step in understanding their role in human cancers and inherited genetic diseases. Many short read algorithmic approaches exist but all have appreciable false negative rates. A common approach is to evaluate the union of multiple tools increasing sensitivity, followed by filtering to retain specificity.