Evidence map›Paper›PMID 40658744›Full record

ArticlePLoS biology2025

Decoding metastatic microenvironments through single-cell omics reveals new insights into niche dynamics and tumor evolution.

Fengshuo Liu, Xiang H-F Zhang

Abstract read
In one paragraph

Article in PLoS biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Fengshuo LiuLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas, United States of America.
Xiang H-F ZhangLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas, United States of America.ORCID 0000-0002-5674-8670

Funding

Translational Research in Breast Cancer (SPORE)P50CA186784 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Xiang Zhang · 2014 to 2026
$24.5M
Osteoclast-Independent Mechanisms of Early-Stage Bone Colonization of Breast CancerR01CA183878 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ZHANG, XIANG · 2014 to 2024
$3.5M
Unveiling the mechanisms underlying secondary metastasis and possible therapeutic windowsR01CA251950 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ZHANG, XIANG · 2020 to 2024
$2.6M
Osteogenic Niche Biology in Progression and Endocrine Resistance of Bone MetastasesR01CA221946 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ROWLEY, DAVID R · 2018 to 2022
$2.4M
Rewired Metabolism Regulates Vessel Normalization and ImmunosuppressionR01CA227904 · NCI · BAYLOR COLLEGE OF MEDICINE · PI SREEKUMAR, ARUN, ZHANG, XIANG · 2019 to 2023
$2.3M
NCI NIH HHS P50 CA186784NCI NIH HHS R01 CA183878NCI NIH HHS R01 CA221946NCI NIH HHS R01 CA227904NCI NIH HHS R01 CA251950
6 · The paper itself

Abstract

Metastasis is the predominant cause of cancer mortality, primarily driven by complex tumor-host interactions within specialized metastatic niches. Recent advances in single-cell technologies have provided unprecedented insights into metastatic niche formation, evolution and function, including how primary tumors precondition distant organs for metastases and how disseminated tumor cells dynamically interact with host cells to modulate their environments. Integrated single-cell studies across multiple cancer types have also revealed divergent and convergent metastatic adaptation strategies. These findings collectively highlight metastasis as a dynamic, cooperative process shaped by intricate tumor-host interactions, and provide a foundation for novel therapeutic strategies targeting components of the metastatic microenvironment.

Indexed as

Neoplasm MetastasisNeoplasmsSingle-Cell AnalysisTumor MicroenvironmentAnimalsHumans

Identifiers

PMID40658744
PMCPMC12273945

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.