Evidence map›Paper›PMID 33159014›Full record

ArticleAging2020

Identification of novel prognosis-related genes in the endometrial cancer immune microenvironment.

Jian Ma, Jing-Kai Zhang, Di Yang, Xiao-Xin Ma

Abstract readValidation Study
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 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Jian MaDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Jing-Kai ZhangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Di YangDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Xiao-Xin MaDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of endometrial cancer is increasing each year, and treatment effects are poor for patients with advanced and specific subtypes. Exploring immune infiltration-related factors in endometrial cancer can aid in the prognosis of patients and provide new immunotherapy targets. We downloaded immune metagene and functional data of patients with different subtypes of endometrial cancer from The Cancer Genome Atlas database and selected the lymphocyte-specific kinase (LCK) metagene as a representative genetic marker of the immune microenvironment in endometrial cancer. The results showed that LCK metagene expression is related to the prognosis of patients with endometrioid endometrial adenocarcinoma subtypes and highly correlated with the

Indexed as

Gene Expression ProfilingTranscriptomeTumor MicroenvironmentAlgorithmsAntigens, Differentiation, B-LymphocyteBiomarkers, TumorCarcinoma, EndometrioidCD52 AntigenClass I Phosphatidylinositol 3-KinasesDatabases, GeneticEndometrial NeoplasmsFemaleGene Regulatory NetworksHistocompatibility Antigens Class IIHLA-DP beta-ChainsHLA-DRB1 ChainsAntigens, Differentiation, B-LymphocyteBiomarkers, TumorCD52 AntigenCD52 protein, humanClass I Phosphatidylinositol 3-KinasesHistocompatibility Antigens Class IIHLA-DPB1 antigenHLA-DP beta-ChainsHLA-DRB1 ChainsHLA-DRB5 Chainsinvariant chainPIK3CA protein, humanPTEN PhosphohydrolasePTEN protein, humanCD52CD74endometrial cancerimmune microenvironmentprognosis

Identifiers

PMID33159014
PMCPMC7695382

What OpenQuestion holds

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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.