Proteome and transcriptome data combined can help assess the relevance of non-coding germline variants. Here, we combine germline Structural Variants (SVs) with mass spectrometry-based proteomics on tumors from 1637 cancer patients spanning various tumor tissues of origin to determine the extent SV breakpoint patterns involve differential protein expression of nearby genes. Rare and singleton SVs disrupting protein expression of known cancer susceptibility genes collectively involve 6% of patients. About 24% of the hundreds of genes with SV-associated non-coding cis-regulatory alterations at the mRNA level are similarly associated at the protein level. Both rare and common SVs may associate with differential protein expression within a specific tumor type or across multiple tissue types, including SVs differentially represented by patient ancestry. SVs involving altered methylation of CpG Islands or enhancers are also implicated in differential protein expression. Our results emphasize the contribution of germline SVs to cancer heterogeneity at the proteome level. Transcriptomic and proteomic data help clarify the functional effects of inherited structural variation in cancer. Here, the authors integrate germline structural variants with tumor proteomics across 1,637 patients spanning 11 tumor types and show that a subset of variants alters protein levels, contributing to molecular diversity across cancers.
Chen et al. (Tue,) studied this question.