APOBEC Mutagenesis and Copy Number Alterations are Drivers of Proteogenomic Tumor Evolution and Heterogeneity in Metastatic Thoracic Tumors
Year: 2018
Type: article
Study design: Observational Study
Abstract: ABSTRACT Elucidation of the proteogenomic evolution of metastatic tumors may offer insight into the poor prognosis of patients harboring metastatic disease. We performed whole-exome and transcriptome sequencing, copy number alterations (CNA) and mass spectrometry-based quantitative proteomics of 37 lung adenocarcinoma (LUAD) and thymic carcinoma (TC) metastases obtained by rapid autopsy and found evidence of patient-specific, multi-dimensional heterogeneity. Extreme mutational heterogeneity was evident in a subset of patients whose tumors showed increased APOBEC-signature mutations and expression of APOBEC3 region transcripts compared to patients with lesser mutational heterogeneity. TP53 mutation status was associated with APOBEC hypermutators in our cohort and in three independent LUAD datasets. In a thymic carcinoma patient, extreme heterogeneity and increased APOBEC3AB expression was associated with a high-risk germline APOBEC3AB variant allele. Patients with CNA occurring late in tumor evolution had corresponding changes in gene expression and protein abundance indicating genomic instability as a mechanism of downstream transcriptomic and proteomic heterogeneity between metastases. Across all tumors, proteomic heterogeneity was greater than copy number and transcriptomic heterogeneity. Enrichment of interferon pathways was evident both in the transcriptome and proteome of the tumors enriched for APOBEC mutagenesis despite a heterogeneous immune microenvironment across metastases suggesting a role for the immune microenvironment in the expression of APOBEC transcripts and generation of mutational heterogeneity. The evolving, heterogeneous nature of LUAD and TC, through APOBEC-mutagenesis and CNA illustrate the challenges facing treatment outcomes.
Source: Cell Reports
Authors: Nitin Roper, Shaojian Gao, Tapan K. Maity, A. Rouf Banday, Xu Zhang, Abhilash Venugopalan, Constance M. Cultraro, Rajesh Patidar, Sivasish Sindiri, Anna-Leigh Brown, Alexander Goncearenco, Anna R. Panchenko, Romi Biswas, Anish Thomas, Arun Rajan, Corey A. Carter, David E. Kleiner, Stephen M. Hewitt, Javed Khan, Ludmila Prokunina-Olsson, Udayan Guha
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,620
OpenAlex ID: W2920329247
