Evidence map›Paper›PMID 34888380›Full record

ArticleBioMed research international2021

DNM1: A Prognostic Biomarker Associated with Immune Infiltration in Colon Cancer-A Study Based on TCGA Database.

Mingchao Hu, Jianchun Gu, Wenzhao Su, Zhenjie Zhang, Baosong Zhu, Qiang Wang, Chungen Xing

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Comprehensive analysis of EML2 as a prognostic biomarker in colon cancer.International journal of clinical and experimental pathology · 2024
    Article
  4. Article
  5. Comprehensive analysis of CDK5 as a novel biomarker for progression in esophageal cancer.Esophagus : official journal of the Japan Esophageal Society · 2023
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Mingchao HuDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China.ORCID https://orcid.org/0000-0002-5567-338X
Jianchun GuDepartment of General Surgery, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou 215228, China.
Wenzhao SuDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China.
Zhenjie ZhangDepartment of General Surgery, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou 215228, China.
Baosong ZhuDepartment of General Surgery, Suzhou Hospital of Traditional Chinese Medicine, Suzhou 215000, China.ORCID https://orcid.org/0000-0001-8500-7778
Qiang WangDepartment of General Surgery, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou 215228, China.ORCID https://orcid.org/0000-0002-3508-211X
Chungen XingDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China.ORCID https://orcid.org/0000-0001-7865-1258
Jiangsu Shengze Hospital · CNSoochow University · CNSuzhou Traditional Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of our work was to determine the utility of DNM1 as a biomarker for the diagnosis and prognosis of colon cancer (CC).

methodsDNM1 expression variations in CC vs. normal tissues were investigated using The Cancer Genome Atlas (TCGA) database. The association of DNM1 expression levels with the clinicopathological variables in CC prognosis was investigated using logistic regression analyses. Independent prognostic factors for CC were evaluated using univariate and multivariate Cox regression analyses. The correlation between DNM1 expression and immune cell infiltration was estimated using single-sample Gene Set Enrichment Analysis (ssGSEA).

resultsDNM1 expression in CC tissues was significantly higher than that in normal tissues. High DNM1 expression was significantly correlated with M stage, N stage, perineural invasion and lymphatic invasion and predicted poor prognosis. The univariate analysis highlighted that DNM1 was an independent CC risk factor. Results of ssGSEA showed that DNM1 was linked to several cancer-related pathways, including the neuroactive ligand-receptor interaction, hypertrophic cardiomyopathy, ECM-receptor interaction, dilated cardiomyopathy, and calcium signaling pathway. Moreover, DNM1 expression was positively correlated with the level of infiltration by Neutrophils, Tregs, NK cells, and Macrophages.

conclusionDNM1 has a significant function and has diagnostic and prognostic potential for CC.

Indexed as

AgedBiomarkers, TumorColonic NeoplasmsDatabases, GeneticDynamin IFemaleGene Expression Regulation, NeoplasticGenes, NeoplasmGenomeHumansMalePrognosisSignal TransductionBiomarkers, TumorDynamin I

Identifiers

PMID34888380
PMCPMC8651384
OpenAlexW3215628413

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.