Evidence map›Paper›PMID 37405226›Full record

ArticleCancer diagnosis & prognosis

Bioinformatics Analysis of Immune Infiltration In Endometrial Carcinoma Tumors and its Relationship With Prognosis.

Yao Lin, Songyi Liu, Lihong Bian, Chunlin Lin, Penghang Lin, Zuhong Teng, Robert M Hoffman, Guangwei Zhu, Bin Zhang

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer diagnosis & prognosis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 2 institutions in 2 countries.

Yao LinDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, P.R. China.
Songyi LiuDepartment of Gastrointestinal Surgery 2nd Section, Institute of Abdominal Surgery, Key Laboratory of Accurate Diagnosis and Treatment of Cancer, The First Affiliated Hospital of Fujian Medical University, Fuzhou, P.R. China.
Lihong BianDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, P.R. China.
Chunlin LinDepartment of Gastrointestinal Surgery 2nd Section, Institute of Abdominal Surgery, Key Laboratory of Accurate Diagnosis and Treatment of Cancer, The First Affiliated Hospital of Fujian Medical University, Fuzhou, P.R. China.
Penghang LinDepartment of Gastrointestinal Surgery 2nd Section, Institute of Abdominal Surgery, Key Laboratory of Accurate Diagnosis and Treatment of Cancer, The First Affiliated Hospital of Fujian Medical University, Fuzhou, P.R. China.
Zuhong TengDepartment of Gastrointestinal Surgery 2nd Section, Institute of Abdominal Surgery, Key Laboratory of Accurate Diagnosis and Treatment of Cancer, The First Affiliated Hospital of Fujian Medical University, Fuzhou, P.R. China.
Robert M HoffmanAntiCancer, Inc., San Diego, CA, U.S.A.
Guangwei ZhuDepartment of Gastrointestinal Surgery 2nd Section, Institute of Abdominal Surgery, Key Laboratory of Accurate Diagnosis and Treatment of Cancer, The First Affiliated Hospital of Fujian Medical University, Fuzhou, P.R. China.
Bin ZhangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, P.R. China.
Fujian Medical University · CNFirst Affiliated Hospital of Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimEndometrial carcinoma (EC) is the most common gynecological cancer, but lacks specific targetable markers. In order to explore the immune-related molecules that affect the progression and prognosis of EC, we analyzed the differential expression of genes in different histological grades of the disease. MATERIALS AND

methodsEC-related gene-expression data of different histological grades were downloaded from TCGA and GEO databases. The list of immune-related genes was obtained from the ImmPort database. In order to identity differentially-expressed genes (DEGs), differential-expression analysis was performed. The intersection of DEGs and immune-related genes was termed immune-related differentially-expressed genes (IRDEGs). IRDEGs were enriched in cancer-related functional pathways by gene-correlation analysis and GSEA-enrichment analysis. The association of IRDEGs with immune-cell tumor infiltration and gene polymorphisms was analyzed using IRDEG mRNA and protein-expression data in EC from TCGA and THPA databases.

resultsThree IRDEGs, TNFSF15, SEMA3E and TNFSF10, were involved in the analysis of the prognosis of EC patients. IRDEGs were not only related to clinical characteristics but could also affect the prognosis of patients. Gene-correlation and GSEA-enrichment analysis of IRDEGs showed that TNFSF15 and TNFSF10 were co-enriched in the IL2-STAT5 functional pathway. IRDEGs had a significant correlation with a variety of immune-cell types infiltrating EC tumors and were related to EC prognosis. IRDEG mRNA- and protein-expression levels were increased in EC compared to normal tissues.

conclusionTNFSF15, SEMA3E and TNFSF10 may regulate the progression and prognosis of EC patients by affecting immune-cell infiltration of EC tumors.

Indexed as

bioinformaticscorrelationdiagnosisdifferential gene expressionEndometrial carcinomagene databaseshistological gradeimmune-cell infiltrationprognosis

Identifiers

PMID37405226
PMCPMC10316055
OpenAlexW4382939040

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