Evidence map›Paper›PMID 39576394›Full record

ArticleDiscover oncology2024

Systematic pan-cancer analysis of the prognostic value of MECOM in human cancer.

Yingqiang Lu, Jing Quan, Feng Liu, Banggao Huang

Abstract read
In one paragraph

Article in Discover oncology, 2024. 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

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

1 citing paper in PubMed.

  1. Gynecologic oncology reports · 2025
    Article
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.

Yingqiang Lu *Department of Urology, Urology and Nephrology Center, Cancer Center, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, 158 Shangtang Road, Hangzhou, 310014, Zhejiang, China.
Jing Quan *Department of Urology, Urology and Nephrology Center, Cancer Center, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, 158 Shangtang Road, Hangzhou, 310014, Zhejiang, China.
Feng LiuDepartment of Urology, Urology and Nephrology Center, Cancer Center, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, 158 Shangtang Road, Hangzhou, 310014, Zhejiang, China.
Banggao HuangDepartment of Urology, Urology and Nephrology Center, Cancer Center, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, 158 Shangtang Road, Hangzhou, 310014, Zhejiang, China. sunson33@126.com.

Funding

Medical Science and Technology Project of Zhejiang Province 2023KY504
6 · The paper itself

Abstract

Recently, emerging evidence suggests an association between MECOM (MDS1 and EVI1 complex locus) and cancers. However, a comprehensive pan-cancer analysis to fully investigate this relationship is lacking. Herein, public platforms with large-scale genomics, including The Cancer Genome Atlas, Gene Expression Omnibus dataset, and the Human Protein Atlas were explored to investigate the prognostic and immunological roles of MECOM across certain cancer types. Our findings revealed differential expression of MECOM in various cancer types, indicating its potential to predict diverse clinical outcomes, such as overall survival time and disease-free survival time in patients with various malignancies. Additionally, we observed an association between the mutation burden in MECOM in various cancers and patient survival. Furthermore, the mechanism of MECOM-mediated oncogenesis was tentatively explored by immune infiltration analysis. This study provided a relatively comprehensive overview of the prognostic and immunological roles of MECOM in multiple cancers.

Indexed as

CancerComprehensive analysisMECOMPrognosisSurvival

Identifiers

PMID39576394
PMCPMC11584820

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.