Evidence map›Paper›PMID 42731420›Full record

ArticleTranslational oncology2026

Metastatic immune microenvironment remodeling by malignant epithelial cells drives colorectal cancer hepatic metastasis: Multi-omics insights.

Wenlong Zhu, Ao Dong, Rongbing Hu, Silei Zhou, Jiali Yao, Binghua Ma, Jin Ding, Yanjie Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Wenlong ZhuClinical Cancer Institute, Center for Translational Medicine Research, Naval Medical University, Shanghai, 200433, China.
Ao DongClinical Cancer Institute, Center for Translational Medicine Research, Naval Medical University, Shanghai, 200433, China.
Rongbing HuClinical Cancer Institute, Center for Translational Medicine Research, Naval Medical University, Shanghai, 200433, China.
Silei ZhouClinical Cancer Institute, Center for Translational Medicine Research, Naval Medical University, Shanghai, 200433, China.
Jiali YaoClinical Cancer Institute, Center for Translational Medicine Research, Naval Medical University, Shanghai, 200433, China.
Binghua MaCenter for Translational Medicine Research, Naval Medical University, 800, Xiangyin Road, Shanghai, 200433, China. Electronic address: binghuama28@163.com.
Jin DingClinical Cancer Institute, Center for Translational Medicine Research, Naval Medical University, Shanghai, 200433, China. Electronic address: dingjin@smmu.edu.cn.
Yanjie ZhangClinical Cancer Institute, Center for Translational Medicine Research, Naval Medical University, Shanghai, 200433, China. Electronic address: zyanjie0530@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvanced CRC patients frequently accompanied by hepatic metastasis (HM). Malignant epithelial cells, as the core in metastasis, have not been fully investigated. This study investigates the role of malignant epithelial cells in CRC HM and its underlying mechanisms.

methodsMulti-omics were utilized to perform comprehensive analysis of CRC HM. "Scissor" was employed to identify malignant epithelial cell (Scissor

resultsThe heterogeneity landscape of malignant epithelial cells in CRC HM has been delineated. Notably, EMT-related pathways were enriched in Scissor

conclusionsScissor

Indexed as

CD4(+) TregCRCHepatic metastaticMulti-omicsPrognostic signatureScissor(+) epithelial cellsSELENOP(+) TAM

Identifiers

PMID42731420
PMCPMC13590056

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.