Evidence map›Paper›PMID 36750200›Full record

ArticleAging2023

The pan-cancer analysis identified DIAPH3 as a diagnostic biomarker of clinical cancer.

Xiaowei Chen, Luhong Xie, Kun Qiao, Xiaoyu Zhu, Ji Ren, Yujie Tan

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

4 citing papers in PubMed, 17 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

6 authors at 2 institutions in 1 country.

Xiaowei Chen *College of Medical Laboratory, Guizhou Medical University, Guiyang, Guizhou Province, China.
Luhong Xie *College of Medical Laboratory, Guizhou Medical University, Guiyang, Guizhou Province, China.
Kun QiaoCollege of Medical Laboratory, Guizhou Medical University, Guiyang, Guizhou Province, China.
Xiaoyu ZhuClinical Laboratory Center, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.
Ji RenCollege of Medical Laboratory, Guizhou Medical University, Guiyang, Guizhou Province, China.
Yujie TanCentral Laboratory of Clinical Laboratory Diagnosis Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.
Guiyang Medical University · CNAffiliated Hospital of Guizhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to determine prognostic biomarkers of cervical cancer by pan-cancer analysis. MATERIALS AND

methodsCommon differentially expressed genes in Gene Expression Omnibus and The Cancer Genome Atlas (TCGA) database were demonstrated using R software analysis, and these genes were enriched by the Kyoto Encyclopedia of Genes and Genomes and Gene Ontology. Genes with prognostic value were identified by least absolute contraction and selection regression, Cox regression, and survival analysis, and pan-cancer analysis was conducted using the Tumor Immune Estimation Resource database and TCGA database. Western blot, qRT-PCR, and immunohistochemistry were used to preliminarily verify its expression in cervical cancer (S1).

resultsThe prognostic marker Diaphanous Related Formin 3 (DIAPH3) was obtained from us. The enrichment analysis revealed that DIAPH3 was involved in tumor proliferation, invasion, and inflammation. The pan-cancer analysis revealed that it was highly expressed in various cancers. Immune infiltration analysis revealed that its expression was related to B cells, effector T cells, and macrophage infiltration; however, immune checkpoint correlation analysis and tumor mutation burden analysis revealed the correlation between gene expression and immunotherapy. The expression of DIAPH3 in cervical cancer was significantly different from that in normal cervical tissues.

conclusionThe expression of DIAPH3 in cervical cancer was significantly increased, which may be related to the proliferation, metastasis, immune invasion, and immunotherapy of cervical cancer.

Indexed as

Uterine Cervical NeoplasmsBiomarkersBlotting, WesternB-LymphocytesDatabases, FactualFemaleForminsHumansBiomarkersDIAPH3 protein, humanForminsbioinformaticscervical cancerDIAPH3tumor immunitytumor markers

Identifiers

PMID36750200
PMCPMC9970313
OpenAlexW4319335979

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.