Evidence map›Paper›PMID 41036441›Full record

ArticleJournal of inflammation research2025

Integrated Single-Cell Analysis Reveals the Heterogeneity of Tumor-Associated Macrophages and Their Implications for Immunotherapy in Colorectal Cancer.

Guozeng Xu, Binglan Fang, Xiaobi Tang, Qingqing Wei, Jing Li

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Guozeng Xu *Department of Oncology, Liuzhou People's Hospital, Guangxi Medical University, Liuzhou, Guangxi, People's Republic of China.
Binglan Fang *Department of Oncology, Liuzhou People's Hospital, Guangxi Medical University, Liuzhou, Guangxi, People's Republic of China.
Xiaobi TangDepartment of Oncology, Liuzhou People's Hospital, Guangxi Medical University, Liuzhou, Guangxi, People's Republic of China.
Qingqing WeiDepartment of Oncology, Liuzhou People's Hospital, Guangxi Medical University, Liuzhou, Guangxi, People's Republic of China.
Jing LiDepartment of Oncology, Liuzhou People's Hospital, Guangxi Medical University, Liuzhou, Guangxi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tumor-associated macrophages (TAMs) are one of the predominant cell components within the colorectal cancer (CRC) microenvironment, which display prominent and multifaceted roles in modulating tumor biology. The systematic subtypes and function analysis of TAMs remain elusive in CRC. Methods: We performed an integrated single-cell atlas of three American studies (GSE178341, GSE200997, and GSE231559) to establish the TAM subtypes in the CRC microenvironment. We adopted unsupervised clustering and manual cell annotation to categorize macrophage subtypes accurately, performed enrichment analysis and developmental trajectory analysis for three TAM subsets, and explored the cell-to-cell crosstalk of different TAM subsets with other cell types. Finally, we further performed an integrated single-cell atlas of five Asian studies (GSE132257, GSE132465, GSE144735, GSE221575, and GSE245552) to validate these characteristics of different TAM subtypes. Results: We identified three TAM subtypes, including CCL20 Conclusion: This single-cell study established an accurate classification system of CRC TAMs, unveiling their diverse roles in modulating tumor biology and assisting in treatment options of CRC patients.

Indexed as

colorectal cancersingle-cell analysissubtypetumor-associated macrophage

Identifiers

PMID41036441
PMCPMC12482942

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.