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Non-Genetic Intra-Tumor Heterogeneity Is a Major Predictor of Phenotypic Heterogeneity and Ongoing Evolutionary Dynamics in Lung Tumors.
- Source :
-
Cell reports [Cell Rep] 2019 Nov 19; Vol. 29 (8), pp. 2164-2174.e5. - Publication Year :
- 2019
-
Abstract
- Impacts of genetic and non-genetic intra-tumor heterogeneity (ITH) on tumor phenotypes and evolvability remain debated. We analyze ITH in lung squamous cell carcinoma at the levels of genome, transcriptome, and tumor-immune interactions and histopathological characteristics by multi-region bulk and single-cell sequencing. Genomic heterogeneity alone is a weak indicator of intra-tumor non-genetic heterogeneity at immune and transcriptomic levels that impact multiple cancer-related pathways, including those related to proliferation and inflammation, which in turn contribute to intra-tumor regional differences in histopathology and subtype classification. Tumor subclones have substantial differences in proliferation score, suggestive of non-neutral clonal dynamics. Proliferation and other cancer-related pathways also show intra-tumor regional differences, sometimes even within the same subclones. Neo-epitope burden negatively correlates with immune infiltration, indicating immune-mediated purifying selection on somatic mutations. Taken together, our observations suggest that non-genetic heterogeneity is a major determinant of heterogeneity in histopathological characteristics and impacts evolutionary dynamics in lung cancer.<br /> (Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Carcinoma, Non-Small-Cell Lung genetics
Carcinoma, Squamous Cell genetics
Cell Proliferation genetics
Cell Proliferation physiology
Female
High-Throughput Nucleotide Sequencing
Humans
Inflammation genetics
Inflammation pathology
Lung Neoplasms genetics
Male
Mutation genetics
Carcinoma, Non-Small-Cell Lung pathology
Carcinoma, Squamous Cell pathology
Lung Neoplasms pathology
Subjects
Details
- Language :
- English
- ISSN :
- 2211-1247
- Volume :
- 29
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Cell reports
- Publication Type :
- Academic Journal
- Accession number :
- 31747591
- Full Text :
- https://doi.org/10.1016/j.celrep.2019.10.045