Evidence map›Paper›PMID 34668665›Full record

ArticleCancer medicine2021

Identification of novel subtypes based on ssGSEA in immune-related prognostic signature for tongue squamous cell carcinoma.

Yi Jin, Zhanwang Wang, Dong He, Yuxing Zhu, Xingyu Chen, Ke Cao

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
4.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 87 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Yi Jin *Department of Oncology, Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-8521-634X
Zhanwang Wang *Department of Oncology, Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-3655-0704
Dong HeDepartment of Respiratory, The Second People's Hospital of Hunan Province, Changsha, China.
Yuxing ZhuDepartment of Oncology, Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-8757-0676
Xingyu ChenDepartment of Oncology, Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-9284-4950
Ke CaoDepartment of Oncology, Third Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0001-5392-2306
Central South University · CNSecond People Hospital of Hunan · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTongue squamous cell carcinoma (TSCC) is characterized by aggressive invasion and poor prognosis. Currently, immune checkpoint inhibitors may prolong overall survival compared with conventional treatments. However, PD1/PDL1 remain inapplicable in predicting the prognosis of TSCC; thus, it is urgent to explore the genetic characteristics of TSCC. MATERIALS AND

methodsWe utilized single-sample gene set enrichment analysis (ssGSEA) to classify TSCC patients from the TCGA database into clusters with different immune cell infiltrations. ESTIMATE (immune-related scores) and CIBERSORT (immune cell distribution) analyses were used to evaluate the immune landscape among clusters. GO, KEGG, and GSEA analyses were performed to analyze the different underlying molecular mechanisms in the clusters. Based on the immune characteristics, we applied the LASSO Cox regression to select hub genes and construct a prognostic risk model. Finally, we established an interactive network among these hub genes by using Cytoscape, and a pan-cancer analysis to further verify and decipher the innate function of these genes.

resultsUsing ssGSEA, we constructed three functional clusters with different overall survival and immune-cell infiltration. ESTIMATE and CIBERSORT analyses revealed the different distributions of immune cells (T cells, B cells, and macrophages) with diverse immune-related scores (ESTIMATE, immune, stromal, and tumor purity scores). Moreover, pathways including those of the interferon-gamma response, hypoxia, and glycolysis of the different subtypes were investigated to elucidate their involvement in mediating the heterogeneous immune characteristics. Subsequently, after LASSO Cox regression, a signature of 15 immune-related genes was established that is more prognostically effective than the TNM stage. Furthermore, three hub genes-PGK1, GPI, and RPE-were selected using Cytoscape evaluation and verified by immunohistochemistry. PGK1, the foremost regulator, was a comprehensively profiled pan-cancer, and a PGK1-based interactive network was established.

conclusionOur results suggest that immune-related genes and clusters in TSCC have the potential to guide individualized treatments.

Indexed as

AlgorithmsBiomarkers, TumorCarcinoma, Squamous CellDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisSurvival AnalysisTongue NeoplasmsTumor MicroenvironmentBiomarkers, TumorCIBERSORTESTIMATELASSOPGK1ssGSEAtongue squamous cell carcinoma

Identifiers

PMID34668665
PMCPMC8633230
OpenAlexW3206513803

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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.