Evidence map›Paper›PMID 33125346›Full record

ArticleAging2020

SMARCD3 is a potential prognostic marker and therapeutic target in CAFs.

Ming Jiang, Huiju Wang, Hong Chen, Yong Han

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. SMARCD1 and Its Functional Relevance in SWI/SNF and Cancer.International journal of molecular sciences · 2026
    Review
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  10. LncRNAInternational journal of molecular sciences · 2022
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  13. Tribbles pseudokinase 3 (Annals of translational medicine · 2021
    Article
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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

4 authors at 1 institution in 1 country.

Ming JiangDepartment of General Surgery, People's Hospital of Quzhou, Quzhou, Zhejiang, China.
Huiju WangClinical Research Institute, Zhejiang Provincial People's Hospital, Zhejiang, China. People's Hospital of Hangzhou Medical College, Zhejiang, China. Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Zhejiang, China.
Hong ChenDepartment of Stomatology, Zhejiang Provincial People's Hospital, Hangzhou, China.
Yong HanClinical Research Institute, Zhejiang Provincial People's Hospital, Zhejiang, China. People's Hospital of Hangzhou Medical College, Zhejiang, China. Key Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Zhejiang, China.
Zhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveScreening for novel prognostic biomarkers and potential therapeutic targets from colorectal cancer microenvironment.

results372 genes were overexpressed in colorectal cancer microenvironment, five of which that had the most prognostic powers were enriched in Epithelial-Mesenchymal Transition and cell cycle pathways. For the first time, we showed that SMARCD3 was mainly expressed in CAFs and could be a novel prognostic marker and potential therapeutic target. Function analyses indicated that MSARCD3 might promote CAFs activation and colorectal cancer metastasis through SMARCD3-WNT5A/TGF-β-MAPK14-SMARCD3 positive feedback loop. Signaling map of SMARCD3 was constructed and several potential drugs that could regulate SMARCD3 were also presented.

conclusionsSMARCD3 is a novel prognostic biomarker and potential therapeutic target of colorectal cancer, which may promote cancer metastasis through activation of CAFs.

methodsColorectal cancer microenvironment related genes were screened based on immune and stromal scores. Function enrichment analyses were performed to show the underlying mechanistic insights of these tumor microenvironment related genes. Kaplan-Meier survival analysis was used for evaluating the prognostic power. Gene-Pathway interaction network analysis and cellular heterogeneity analysis of tumor microenvironment were also performed. Gene set enrichment analysis was performed for signal gene pathway analysis. Protein data from The Cancer Genome Atlas were used for validation.

Indexed as

Cancer-Associated FibroblastsBiomarkers, TumorChromosomal Proteins, Non-HistoneColonic NeoplasmsGene Expression Regulation, NeoplasticHumansPrognosisSurvival RateTumor MicroenvironmentBiomarkers, TumorChromosomal Proteins, Non-HistoneSMARCD3 protein, humancolorectal cancerprognostic markerSMARCD3therapeutic targettumor microenvironment

Identifiers

PMID33125346
PMCPMC7655158
OpenAlexW3097126779

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.