Evidence map›Paper›PMID 40547160›Full record

ReviewWorld journal of gastrointestinal oncology2025

Application of single-cell sequencing in the study of immune cell infiltration in inflammatory bowel disease and colorectal cancer.

Zheng Zhang, Hui-Min Wang, Zhen-Xi Xu, Wen-Yu Luan, Si-Xiang Lin, Yan-Dong Miao

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of gastrointestinal oncology, 2025. 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

6 authors.

Zheng ZhangCancer Center, Yantai Affiliated Hospital of Binzhou Medical University, The Second Medical College of Binzhou Medical University, Yantai 264100, Shandong Province, China.
Hui-Min WangCancer Center, Yantai Affiliated Hospital of Binzhou Medical University, The Second Medical College of Binzhou Medical University, Yantai 264100, Shandong Province, China.
Zhen-Xi XuCancer Center, Yantai Affiliated Hospital of Binzhou Medical University, The Second Medical College of Binzhou Medical University, Yantai 264100, Shandong Province, China.
Wen-Yu LuanCancer Center, Yantai Affiliated Hospital of Binzhou Medical University, The Second Medical College of Binzhou Medical University, Yantai 264100, Shandong Province, China.
Si-Xiang LinCancer Center, Yantai Affiliated Hospital of Binzhou Medical University, The Second Medical College of Binzhou Medical University, Yantai 264100, Shandong Province, China.
Yan-Dong MiaoCancer Center, Yantai Affiliated Hospital of Binzhou Medical University, The Second Medical College of Binzhou Medical University, Yantai 264100, Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid advancement of single-cell sequencing (SCS) technology has provided new insights into the relationship between inflammatory bowel disease (IBD) and colorectal cancer (CRC). This technique allows for detailed cellular analysis, enabling researchers to uncover the infiltration patterns of immune cells within the gut microenvironment and their roles in disease progression. This review summarizes significant research findings on the interplay between IBD and CRC, the characteristics of immune cell infiltration, and potential therapeutic targets identified through SCS. The aim is to offer references for future clinical studies and treatment strategies in this field.

Indexed as

Colorectal cancerImmune cell infiltrationInflammatory bowel diseaseSingle-cell sequencingTumor microenvironment

Identifiers

PMID40547160
PMCPMC12179909

What OpenQuestion holds

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LicenceCC BY-NC
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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.