Abstract 66: Gene co-amplification and structural patterns reveal principles of extrachromosomal DNA in cancer.

Abstract The amplification of oncogenes on extrachromosomal DNA (ecDNA) enables aggressive, rapidly evolving tumors. Its defiance of Mendelian segregation enables extreme copy number amplifications that escape chromosomal regulatory constraints. Our AmpliconSuite toolset is the most widely used tool for ecDNA analysis in whole genome sequencing data, now deployed on over 43,000 tumor samples. Here, we present novel insights into ecDNA biology enabled through large-scale integrative analysis with these methods. We analyzed 6,366 whole-genome sequenced tumors from combined ICGC and Hartwig Medical Foundation datasets, identifying 2,366 distinct ecDNA capturing >11,000 different genes. Our systematic gene co-amplification analysis revealed striking patterns of gene selection on ecDNA. CDK4-MDM2 co-amplification occurred predominantly via ecDNA (75% of co-amplifications). These loci, normally separated by >11Mbp on chromosome 12, preferentially assembled onto the same ecDNA molecule 93% of the time as revealed by structural analysis of the ecDNA. This suggests selective pressure for maintaining cell cycle and p53 pathway regulators on the same inheritable unit. Our analysis of frequent co-amplifications also revealed that ecDNA preferentially packages chromatin remodelers (NSD3, RSF1) alongside driver oncogenes, as well as including genes that support transcription and translation (INTS4, BRF2), creating self-contained oncogene “support” hubs. Structural analysis revealed cancer type-specific patterns to ecDNA structures, with EGFR ecDNA showing simple architectures in glioblastoma versus complex rearrangements in lung and breast cancers, suggesting distinct formation histories in different cancers. Through AmpliconRepository.org, we provide public access to these ecDNA predictions and co-amplification analysis across major cancer cohorts, currently hosting 16,000+ analyzed samples and 5,000+ characterized ecDNA amplifications. Uniquely open to community contributions, this resource enables researchers to explore patterns across datasets and validate findings. These findings reveal fundamental principles governing ecDNA formation and selection, with implications for understanding tumor heterogeneity, therapeutic resistance, and dependencies which underlie ecDNA-targeted therapies. Citation Format: Jens Luebeck, Ted Liefeld, Edwin Huang, Forrest Kim, Bhargavi Dameracharla, Michael A. Chan, Dhruv Khatri, Kyra Fetter, Kaiyuan Zhu, Thorin Tabor, Soyeon Kim, Hoon Kim, Roel Verhaak, Michael M. Reich, Paul S. Mischel, Jill P. Mesirov, Vineet Bafna. Gene co-amplification and structural patterns reveal principles of extrachromosomal DNA in cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 66.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-66
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 66: Gene co-amplification and structural patterns reveal principles of extrachromosomal DNA in cancer.

Bhargavi Dameracharla, Dhruv Khatri, Thorin Tabor, Paul S. Mischel et al.
Cancer Research
Cancer Genomics and Diagnostics
article

Abstract 66: Gene co-amplification and structural patterns reveal principles of extrachromosomal DNA in cancer.

Bhargavi Dameracharla, Dhruv Khatri, Thorin Tabor, Paul S. Mischel, Forrest Kim, Michael Reich, Ted Liefeld, Jill P. Mesirov, Kyra Fetter, Hoon Kim, Vineet Bafna, Roel Verhaak, Edwin Huang, Jens Luebeck, Kaiyuan Zhu
article en

Abstract

Abstract The amplification of oncogenes on extrachromosomal DNA (ecDNA) enables aggressive, rapidly evolving tumors. Its defiance of Mendelian segregation enables extreme copy number amplifications that escape chromosomal regulatory constraints. Our AmpliconSuite toolset is the most widely used tool for ecDNA analysis in whole genome sequencing data, now deployed on over 43,000 tumor samples. Here, we present novel insights into ecDNA biology enabled through large-scale integrative analysis with these methods. We analyzed 6,366 whole-genome sequenced tumors from combined ICGC and Hartwig Medical Foundation datasets, identifying 2,366 distinct ecDNA capturing >11,000 different genes. Our systematic gene co-amplification analysis revealed striking patterns of gene selection on ecDNA. CDK4-MDM2 co-amplification occurred predominantly via ecDNA (75% of co-amplifications). These loci, normally separated by >11Mbp on chromosome 12, preferentially assembled onto the same ecDNA molecule 93% of the time as revealed by structural analysis of the ecDNA. This suggests selective pressure for maintaining cell cycle and p53 pathway regulators on the same inheritable unit. Our analysis of frequent co-amplifications also revealed that ecDNA preferentially packages chromatin remodelers (NSD3, RSF1) alongside driver oncogenes, as well as including genes that support transcription and translation (INTS4, BRF2), creating self-contained oncogene “support” hubs. Structural analysis revealed cancer type-specific patterns to ecDNA structures, with EGFR ecDNA showing simple architectures in glioblastoma versus complex rearrangements in lung and breast cancers, suggesting distinct formation histories in different cancers. Through AmpliconRepository.org, we provide public access to these ecDNA predictions and co-amplification analysis across major cancer cohorts, currently hosting 16,000+ analyzed samples and 5,000+ characterized ecDNA amplifications. Uniquely open to community contributions, this resource enables researchers to explore patterns across datasets and validate findings. These findings reveal fundamental principles governing ecDNA formation and selection, with implications for understanding tumor heterogeneity, therapeutic resistance, and dependencies which underlie ecDNA-targeted therapies. Citation Format: Jens Luebeck, Ted Liefeld, Edwin Huang, Forrest Kim, Bhargavi Dameracharla, Michael A. Chan, Dhruv Khatri, Kyra Fetter, Kaiyuan Zhu, Thorin Tabor, Soyeon Kim, Hoon Kim, Roel Verhaak, Michael M. Reich, Paul S. Mischel, Jill P. Mesirov, Vineet Bafna. Gene co-amplification and structural patterns reveal principles of extrachromosomal DNA in cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 66.

Cancer ResearchVol. 86(7_Supplement)
University of California San Diego (US), University of California San Diego Medical Center (US), Sungkyunkwan University (KR), Stanford University (US)
Openalex Percentile: Top 30%
Cancer Genomics and Diagnostics
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.