Abstract 2858: Pleiotropy of experimental signatures across species and model systems

Mutational signatures in cancer genomes provide crucial insights into the etiology and progression of malignancies. While numerous signatures have been identified, many lack known causes, hindering our understanding of cancer development. This study presents a comprehensive analysis of mutational patterns induced by diverse environmental agents across multiple model systems. We compiled data from over 4,000 genome-wide sequencing experiments, exposing various biological models—including human cell lines, rodent tumors, avian cells, and C. elegans—to more than 120 different agents under controlled conditions. By comparing mutational profiles across 30+ model systems, we identified significant inter-model disparities, underscoring the importance of diverse experimental approaches in confidently characterizing mutational signatures observed in human cancers. Our findings enhance the interpretation of clinical and epidemiological data related to specific carcinogen exposures and provide a robust framework for elucidating the role of environmental factors in cancer etiology. This research contributes to a more nuanced understanding of the complex interplay between environmental exposures, genetic susceptibility, and cancer development, potentially informing novel prevention strategies and therapeutic interventions. Citation Format: Maria Zhivagui, Shams Al-azzam, Mark Barnes, Ludmil B. Alexandrov. Pleiotropy of experimental signatures across species and model systems [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2858.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-2858
Primary Topic
Evolution and Paleontology Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 2858: Pleiotropy of experimental signatures across species and model systems

Shams Al-Azzam, Maria Zhivagui, Ludmil B. Alexandrov, Mark Barnes
Cancer Research
Evolution and Paleontology Studies
article

Abstract 2858: Pleiotropy of experimental signatures across species and model systems

Shams Al-Azzam, Maria Zhivagui, Ludmil B. Alexandrov, Mark Barnes
article en

Abstract

Mutational signatures in cancer genomes provide crucial insights into the etiology and progression of malignancies. While numerous signatures have been identified, many lack known causes, hindering our understanding of cancer development. This study presents a comprehensive analysis of mutational patterns induced by diverse environmental agents across multiple model systems. We compiled data from over 4,000 genome-wide sequencing experiments, exposing various biological models—including human cell lines, rodent tumors, avian cells, and C. elegans—to more than 120 different agents under controlled conditions. By comparing mutational profiles across 30+ model systems, we identified significant inter-model disparities, underscoring the importance of diverse experimental approaches in confidently characterizing mutational signatures observed in human cancers. Our findings enhance the interpretation of clinical and epidemiological data related to specific carcinogen exposures and provide a robust framework for elucidating the role of environmental factors in cancer etiology. This research contributes to a more nuanced understanding of the complex interplay between environmental exposures, genetic susceptibility, and cancer development, potentially informing novel prevention strategies and therapeutic interventions. Citation Format: Maria Zhivagui, Shams Al-azzam, Mark Barnes, Ludmil B. Alexandrov. Pleiotropy of experimental signatures across species and model systems [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2858.

Cancer ResearchVol. 85(8_Supplement_1)
University of Nevada, Las Vegas (US), University of California San Diego (US)
Openalex Percentile: Top 96%
Evolution and Paleontology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.