Evidence map›Paper›PMID 41726769›Full record

ArticleResearch (Washington, D.C.)2026

Evolution of Cancer Metastases via Lineage Trans-Differentiation.

Yu Xiao, Wan Jin, Fangjin Chen, Kaiyu Qian, Lingao Ju, Yi Zhang

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 authors.

Yu XiaoDepartment of Biological Repositories, Human Genetic Resources Preservation Center of Hubei Province, Laboratory of Precision Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID https://orcid.org/0000-0003-1377-9685
Wan JinDepartment of Biological Repositories, Human Genetic Resources Preservation Center of Hubei Province, Laboratory of Precision Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
Fangjin ChenHigh Performance Computing Center, Peking-Tsinghua College of Life Sciences, Peking University, Beijing, China.
Kaiyu QianDepartment of Urology, Hubei Key Laboratory of Urological Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Lingao JuDepartment of Biological Repositories, Human Genetic Resources Preservation Center of Hubei Province, Laboratory of Precision Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yi ZhangInstitute for Genetics and Molecular Medicine, Chinese Institutes for Medical Research, Beijing, China.ORCID https://orcid.org/0000-0001-5388-1276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most cancer metastases exhibit mutational profiles similar to those of the primary tumor. However, the nongenetic mechanisms driving metastasis remain poorly understood. Here, we show that lineage trans-differentiation is a hallmark of cancer metastasis. Bioinformatic tools capable of reconstructing cancer phenotypic evolutionary trajectories at single-cell resolution were developed, revealing a progressive loss of transcriptional and epigenomic lineage fidelity in cancer cells as they evolve toward metastasis. During premetastatic evolution, cells undergo de-differentiation into a fetal-like state. The mis-expression of alternative-lineage gene programs during re-differentiation from this fetal-like state leads to the formation of trans-differentiated metastatic cells. This trans-differentiation, rather than fetal-like transcription, constitutes a key feature of metastasis in both humans and mice. In clinical samples, trans-differentiation correlates with histopathological grade, metastatic potential, and patient survival. Additionally, trans-differentiation is associated with gain of oncogenic mitogen-activated protein kinase (MAPK) signaling and can be reversed through MAPK inhibition. These findings offer a detailed account of metastatic cancer evolution driven by epigenetic reprogramming while also uncovering the molecular mechanisms underlying this process.

Identifiers

PMID41726769
PMCPMC12917112

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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.