Clonal evolution and mutational trajectories of metastatic colorectal cancer shaped by anticancer therapies

The evolutionary dynamics of cancer genomes at single-cell resolution under therapeutic pressure remain elusive. Hence, we perform whole-genome sequencing of 58 single-cell-derived tumoroids and 18 matched bulk tumors from six patients with metastatic colorectal cancer. High-resolution phylogenies reveal the clonal evolution of cancer with quantitative and qualitative profiling of therapy-associated mutations at the single-cell level. We uncover pronounced inter- and intra-patient heterogeneity in burden and spectrum of chemotherapy-induced mutations, with preferential enrichment in more proliferative lineages, highlighting differential mutagenic effects across co-existing cancer cell populations. Late-stage mutational trajectories uncover strikingly dynamic genomic alterations, including complex structural variants, extrachromosomal DNA amplifications, and LINE-1 retrotranspositions, often involving alterations in cancer driver genes. Together, we show the clonal architecture and mutational landscapes of advanced cancers under therapeutic pressure, providing an important foundation for future studies of late-stage cancer evolution under therapies. The evolutionary changes in cancer genomes under treatment are not fully understood. Here, whole-genome sequencing of 58 single-cell tumoroids and 18 matched bulk tumours from 6 metastatic colorectal cancer patients reveals clonal structures and mutation patterns under therapy.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-06-13
DOI
https://doi.org/10.1038/s41467-026-74384-3
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

Clonal evolution and mutational trajectories of metastatic colorectal cancer shaped by anticancer therapies

Hail Kim, Hee Jin Chang, Myong Cheol Lim, Yongjun Cha et al.
Nature Communications
Cancer Genomics and Diagnostics
article

Clonal evolution and mutational trajectories of metastatic colorectal cancer shaped by anticancer therapies

Hail Kim, Hee Jin Chang, Myong Cheol Lim, Yongjun Cha, Jae Hwan Oh, Bun Kim, Young Seok Ju, Sung‐Sik Han, Seong-Jin Park, Won Hee Lee, Dong Woon Lee, Hyun Yang Yeo, Chang Hyun Nam
article en

Abstract

The evolutionary dynamics of cancer genomes at single-cell resolution under therapeutic pressure remain elusive. Hence, we perform whole-genome sequencing of 58 single-cell-derived tumoroids and 18 matched bulk tumors from six patients with metastatic colorectal cancer. High-resolution phylogenies reveal the clonal evolution of cancer with quantitative and qualitative profiling of therapy-associated mutations at the single-cell level. We uncover pronounced inter- and intra-patient heterogeneity in burden and spectrum of chemotherapy-induced mutations, with preferential enrichment in more proliferative lineages, highlighting differential mutagenic effects across co-existing cancer cell populations. Late-stage mutational trajectories uncover strikingly dynamic genomic alterations, including complex structural variants, extrachromosomal DNA amplifications, and LINE-1 retrotranspositions, often involving alterations in cancer driver genes. Together, we show the clonal architecture and mutational landscapes of advanced cancers under therapeutic pressure, providing an important foundation for future studies of late-stage cancer evolution under therapies. The evolutionary changes in cancer genomes under treatment are not fully understood. Here, whole-genome sequencing of 58 single-cell tumoroids and 18 matched bulk tumours from 6 metastatic colorectal cancer patients reveals clonal structures and mutation patterns under therapy.

Nature Communications
Korea Advanced Institute of Science and Technology (KR), Yonsei University (KR), National Cancer Center (US), National Cancer Center (KR)
Good health and well-being
Openalex Percentile: Top 7%
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.