Evidence map›Paper›PMID 41361749›Full record

ArticleCancer cell international2025

Single-cell sequencing reveals MCAM

Xiaotian Yuan, Yunqing Liu, Benjian Zhang, Yan Fang, Lai Meng, Zirong Chen, Hua Zhang, Yongzhen Mo, Weihong Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer cell international, 2025. 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

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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. Review
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

9 authors.

Xiaotian YuanDepartment of Otolaryngology Head and Neck Surgery, Xiangya Hospital of Central South University, Changsha, People's Republic of China.
Yunqing LiuDepartment of Oncology, Xiangya Third Hospital of Central South University, Changsha, People's Republic of China.
Benjian ZhangDepartment of Otolaryngology Head and Neck Surgery, Xiangya Hospital of Central South University, Changsha, People's Republic of China.
Yan FangDepartment of Otolaryngology Head and Neck Surgery, Xiangya Hospital of Central South University, Changsha, People's Republic of China.
Lai MengDepartment of Otolaryngology Head and Neck Surgery, Xiangya Hospital of Central South University, Changsha, People's Republic of China.
Zirong ChenDepartment of Otolaryngology Head and Neck Surgery, Xiangya Hospital of Central South University, Changsha, People's Republic of China.
Hua ZhangDepartment of Otolaryngology Head and Neck Surgery, Xiangya Hospital of Central South University, Changsha, People's Republic of China. entxy@126.com.
Yongzhen MoDepartment of Otolaryngology Head and Neck Surgery, Xiangya Hospital of Central South University, Changsha, People's Republic of China. moyongzhen@csu.edu.cn.
Weihong JiangDepartment of Otolaryngology Head and Neck Surgery, Xiangya Hospital of Central South University, Changsha, People's Republic of China. jiangwh68@126.com.

Funding

Central South University graduate students independent exploration and innovation project 1053320222011National Natural Science Foundation of China 82171118Natural Science Foundation of Hunan Province 2021JJ41027
6 · The paper itself

Abstract

backgroundSolid-type adenoid cystic carcinoma (ACC) is the most aggressive pathological type with the poorest prognosis. Extensive neovascularization and recruitment of cancer associated fibroblasts (CAFs) are the main characteristics, but the relationship between the two remains unclear.

methodsSingle-cell RNA sequencing was performed to classify and characterize CAFs in ACC. Primary CAFs from ACC were isolated and purified, and the pro-angiogenic capacity of CAFs from solid-type and non-solid-type ACC were compared. Finally, the upstream regulatory mechanisms of pro-angiogenic factor transcription were studied both in vitro and in vivo.

resultsCompared to non-solid-type ACC, CAFs in solid-type ACC are predominantly composed of melanoma cell adhesion molecule (MCAM)

Indexed as

AngiogenesisCancer associated fibroblastsMEF2CSingle-cell RNA sequencingSolid-type adenoid cystic carcinoma

Identifiers

PMID41361749
PMCPMC12797820

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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.