Evidence map›Paper›PMID 35036134›Full record

ArticlePeerJ2021

Identification of HMMR as a prognostic biomarker for patients with lung adenocarcinoma

Zhaodong Li, Hongtian Fei, Siyu Lei, Fengtong Hao, Lijie Yang, Wanze Li, Laney Zhang, Rui Fei

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. 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
0.2field-weighted citation impact, top 46% 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, 7 citations in OpenAlex.

  1. CD168 Identifies Proliferating Pancreatic Islet Cells in Murine and Human.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Hyaluronan-mediated motility receptor-mediated aerobic glycolysis enhances stem-like properties and chemoresistance in lung adenocarcinoma.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025
    Article
  3. Article
  4. 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

8 authors at 3 institutions in 2 countries.

Zhaodong Li *Department of Cell Biology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China.
Hongtian Fei *Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China.
Siyu LeiDepartment of Cell Biology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China.
Fengtong HaoDepartment of Cell Biology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China.
Lijie YangDepartment of Cell Biology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China.
Wanze LiDepartment of Cell Biology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China.
Laney ZhangThe College of Arts and Sciences, Cornell University, New York, USA.
Rui FeiDepartment of Cell Biology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China.
Jilin Medical University · CNJilin University · CNCornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LUAD) is the most prevalent tumor in lung carcinoma cases and threatens human life seriously worldwide. Here we attempt to identify a prognostic biomarker and potential therapeutic target for LUAD patients.

methodsDifferentially expressed genes (DEGs) shared by GSE18842, GSE75037, GSE101929 and GSE19188 profiles were determined and used for protein-protein interaction analysis, enrichment analysis and clinical correlation analysis to search for the core gene, whose expression was further validated in multiple databases and LUAD cells (A549 and PC-9) by quantitative real-time PCR (qRT-PCR) and western blot analyses. Its prognostic value was estimated using the Kaplan-Meier method, meta-analysis and Cox regression analysis based on the Cancer Genome Atlas (TCGA) dataset and co-expression analysis was conducted using the Oncomine database. Gene Set Enrichment Analysis (GSEA) was performed to illuminate the potential functions of the core gene.

resultsA total of 115 shared DEGs were found, of which 24 DEGs were identified as candidate hub genes with potential functions associated with cell cycle and

conclusion

Indexed as

BioinformaticsDifferentially expressed genesHMMRLung adenocarcinomaPrognosis

Identifiers

PMID35036134
PMCPMC8710063
OpenAlexW4200021908

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.