Evidence map›Paper›PMID 36922546›Full record

ArticleCancer gene therapy2023

CAFrgDB: a database for cancer-associated fibroblasts related genes and their functions in cancer.

Qiang Yuan, Yi Chu, Xiaoyu Li, Yunshu Shi, Yingying Chen, Jimin Zhao, Jing Lu, Kangdong Liu, Yaping Guo

Open access · hybridAbstract read
In one paragraph

Article in Cancer gene therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 1 institution in 1 country.

Qiang Yuan *Department of Pathophysiology, State Key Laboratory of Esophageal Cancer Prevention and Treatment, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Yi Chu *Department of Pathophysiology, State Key Laboratory of Esophageal Cancer Prevention and Treatment, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Xiaoyu LiDepartment of Pathophysiology, State Key Laboratory of Esophageal Cancer Prevention and Treatment, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Yunshu ShiDepartment of Pathophysiology, State Key Laboratory of Esophageal Cancer Prevention and Treatment, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Yingying ChenDepartment of Pathophysiology, State Key Laboratory of Esophageal Cancer Prevention and Treatment, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China.
Jimin ZhaoDepartment of Pathophysiology, State Key Laboratory of Esophageal Cancer Prevention and Treatment, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China.ORCID 0000-0002-3338-9994
Jing LuDepartment of Pathophysiology, State Key Laboratory of Esophageal Cancer Prevention and Treatment, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China.ORCID 0000-0002-9568-0031
Kangdong LiuDepartment of Pathophysiology, State Key Laboratory of Esophageal Cancer Prevention and Treatment, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China. kdliu@zzu.edu.cn.ORCID 0000-0002-4425-5625
Yaping GuoDepartment of Pathophysiology, State Key Laboratory of Esophageal Cancer Prevention and Treatment, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450001, China. guoyaping@zzu.edu.cn.ORCID 0000-0001-9937-363X
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the most essential components of the tumor microenvironment (TME), cancer-associated fibroblasts (CAFs) interact extensively with cancer cells and other stromal cells to remodel TME and participate in the pathogenesis of cancer, which earmarked themselves as new promising targets for cancer therapy. Numerous studies have highlighted the heterogeneity and versatility of CAFs in most cancer types. Thus, the identification and appropriate use of CAF-related genes (CAFGenes) in the context of specific cancer types will provide critical insights into disease mechanisms and CAF-related therapeutic targets. In this study, we collected and curated 5421 CAFGenes identified from small- or large-scale experiments, encompassing 4982 responsors that directly or indirectly participate in cancer malignant behaviors managed by CAFs, 1069 secretions that are secreted by CAFs and 281 regulators that contribute in modulating CAFs in human and mouse, which covered 24 cancer types. For these human CAFGenes, we performed gene expression and prognostic marker-based analyses across 24 cancer types using TCGA data. Furthermore, we provided annotations for CAF-associated proteins by integrating the knowledge of protein-protein interaction(s), drug-target relations and basic annotations, from 9 public databases. CAFrgDB (CAF related Gene DataBase) is free for academic research at http://caf.zbiolab.cn and we anticipate CAFrgDB can be a useful resource for further study of CAFs.

Indexed as

Cancer-Associated FibroblastsNeoplasmsAnimalsCell CommunicationHumansMicePrognosisTumor Microenvironment

Identifiers

PMID36922546
PMCPMC10281871
OpenAlexW4324378979

What OpenQuestion 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 OpenQuestion graph.