Evidence map›Paper›PMID 35087752›Full record

ArticleFrontiers in oncology2021

Identification of Novel Prognostic Markers Associated With Laryngeal Squamous Cell Carcinoma Using Comprehensive Analysis.

Chao Huang, Jun He, Yi Dong, Li Huang, Yichao Chen, Anquan Peng, Hao Huang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Chao HuangDepartment of Otolaryngology-Head and Neck Surgery, Second Xiangya Hospital Central South University, Changsha, China.
Jun HeDepartment of Otolaryngology-Head and Neck Surgery, Second Xiangya Hospital Central South University, Changsha, China.
Yi DongDepartment of Nephrology, Xiangya Hospital Central South University, Changsha, China.
Li HuangDepartment of Otolaryngology-Head and Neck Surgery, Second Xiangya Hospital Central South University, Changsha, China.
Yichao ChenDepartment of Otolaryngology-Head and Neck Surgery, Second Xiangya Hospital Central South University, Changsha, China.
Anquan PengDepartment of Otolaryngology-Head and Neck Surgery, Second Xiangya Hospital Central South University, Changsha, China.
Hao HuangDepartment of Nephrology, Xiangya Hospital Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLaryngeal squamous cell carcinoma (LSCC) is a leading malignant cancer of the head and neck. Patients with LSCC, in which the cancer has infiltrated and metastasized, have a poor prognosis. Therefore, there is an urgent need to identify more potential targets for drugs and biomarkers for early diagnosis.

methodsRNA sequence data from LSCC and patients' clinical traits were obtained from the Gene Expression Omnibus (GEO) (GSE142083) and The Cancer Genome Atlas (TCGA) database. Differentially expressed gene (DEG) analysis and weighted gene co-expression network analysis (WGCNA) were performed to identify hub genes. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, prognostic value analysis, receiver operating characteristic (ROC) curve analysis, gene mutation analysis, tumor-infiltrating immune cell abundance profile estimation, gene set variation analysis (GSVA), and gene set enrichment analysis (GSEA) were performed. Single-gene RNA sequencing data were obtained from the GSE150321 dataset. Cell proliferation and viability were confirmed by the CCK-8 assay and real-time PCR.

resultsA total of 701 DEGs, including 329 upregulated and 372 downregulated genes, were screened in the GSE142083 dataset. Using WGCNA, three modules were identified to be closely related to LSCC. After intersecting the DEGs and performing univariate and multivariate Cox analyses, a novel prognostic model based on three genes (

conclusionsOur results show that

Indexed as

differentially expressed genesgene moduleslaryngeal squamous cell carcinomaprognostic genesingle-cell analysisTEDC2WGCNA

Identifiers

PMID35087752
PMCPMC8787159

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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.