Evidence map›Paper›PMID 42271485›Full record

ArticleGenome medicine2026

Geospatial genetic evolution and phenotypic plasticity in triple-negative breast cancer.

Ruoxi Hong, Pin Wu, Yuyue Qiu, Shichen Dong, Yuhan Huang, Kaping Lee, Huifang Wang, Mei Li, Cuijuan Zhang, Feng Ye and 8 more

Abstract read
In one paragraph

Article in Genome medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Ruoxi Hong *Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Pin Wu *BGI Research, Chongqing, 401329, China.
Yuyue Qiu *Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Shichen Dong *BGI Research, Chongqing, 401329, China.
Yuhan Huang *BGI Research, Chongqing, 401329, China.
Kaping Lee *Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Huifang WangBGI Research, Chongqing, 401329, China.
Mei LiDepartment of Pathology Department, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Cuijuan ZhangBGI Research, Chongqing, 401329, China.
Feng YeDepartment of Breast Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Shanlan MoKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institutes of Advanced Technology, Shenzhen Institute of Synthetic Biology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Siming XueBGI Research, Chongqing, 401329, China.
Wei WuDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Zheng HuKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institutes of Advanced Technology, Shenzhen Institute of Synthetic Biology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Weimin ZhangState Key Laboratory of Molecular Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. zhangweimin@bjmu.edu.cn.
Qimin ZhanState Key Laboratory of Molecular Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. zhanqimin@bjmu.edu.cn.
Guibo LiBGI Research, Chongqing, 401329, China. liguibo@genomics.cn.
Shusen WangDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China. wangshs@sysucc.org.cn.

Funding

National Natural Science Foundation of China 82372590National Natural Science Foundation of China U1601224National Natural Science Foundation of China,China 82172930Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0501101Science and Technology Innovation Key R&D Program of Chongqing CSTB2024TIAD-STX0006
6 · The paper itself

Abstract

backgroundThe interplay between genotype and phenotype in shaping spatial heterogeneity and metastatic evolution in triple-negative breast cancer (TNBC) remains poorly understood.

methodsHere, we developed a pathology-guided geospatial genomic and transcriptomic sequencing workflow (pGeo-G&T-seq) and applied it to TNBC specimens from primary tumors and matched metastatic sites. Using laser capture microdissection (LCM) we isolated mRNA and gDNA for whole-exome sequencing, whole-genome sequencing and whole-transcriptome sequencing to analyze spatial genomic heterogeneity and transcriptomic plasticity. Findings were further evaluated using independent bulk transcriptomic, single-cell immunotherapy, and spatial transcriptomic TNBC datasets.

resultsThe analysis unveiled spatial intratumoral heterogeneity at genomic and transcriptomic levels characterized by distinct spatial patterns of "decay" or "uniformity", demonstrating regional clonal expansion and genetic mosaicism, including heterogeneity in driver alterations and molecular subtypes. Notably, we identified a previously uncharacterized oxidative phosphorylation (OXPHOS)-associated transcriptional state associated with poor prognosis and features of limited immunotherapy responsiveness in single-cell cohorts. Intriguingly, genetic ancestry was associated with relatively stable transcriptional programs in a subset of cases. Furthermore, phylogenetically closely related clones from primary tumors and lymph node metastases shared convergent biological processes, suggesting that phenotypic traits may be partially retained during metastatic colonization.

conclusionsThese findings support a model in which genetic evolution and phenotypic retention contribute to the spatial heterogeneity and metastatic progression of TNBC. More broadly, our pathology-guided spatial multi-omics framework enables the dissection of genotype-phenotype coupling in intact tissue, while the identification of an OXPHOS-associated transcriptional program may inform biologically guided patient stratification and generate hypotheses for future therapeutic studies.

Indexed as

Evolution, MolecularPhenotypeTriple Negative Breast NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic HeterogeneityHumansOxidative PhosphorylationTranscriptomeGenetic evolutionLymph node metastasisPhenotypic plasticitySpatial intratumor heterogeneityTriple-negative breast cancer

Identifiers

PMID42271485
PMCPMC13474512

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.