Evidence map›Paper›PMID 34221975›Full record

ArticleFrontiers in oncology2021

Prognostic Value of Eight-Gene Signature in Head and Neck Squamous Carcinoma.

Baoling Liu, Quanping Su, Jianhua Ma, Cheng Chen, Lijuan Wang, Fengyuan Che, Xueyuan Heng

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PubMed Full text at PMC Publisher
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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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  16. GαFrontiers in cell and developmental biology · 2022
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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

7 authors.

Baoling LiuCentral Laboratory, Linyi People's Hospital, Linyi, China.
Quanping SuCentral Laboratory, Linyi People's Hospital, Linyi, China.
Jianhua MaDepartment of Radiotherapy, NO2 People's Hospital of Lianyungang, Lianyungang, China.
Cheng ChenDepartment of Radiotherapy, NO2 People's Hospital of Lianyungang, Lianyungang, China.
Lijuan WangCentral Laboratory, Linyi People's Hospital, Linyi, China.
Fengyuan CheCentral Laboratory, Linyi People's Hospital, Linyi, China.
Xueyuan HengDepartment of Neurosurgery, Linyi People's Hospital, Linyi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Head and neck cancer (HNC) is the fifth most common cancer worldwide. In this study, we performed an integrative analysis of the discovery set and established an eight-gene signature for the prediction of prognosis in patients with head and neck squamous cell carcinoma (HNSCC). Univariate Cox analysis was used to identify prognosis-related genes (with P < 0.05) in the GSE41613, GSE65858, and TCGA-HNSC RNA-Seq datasets after data collection. We performed LASSO Cox regression analysis and identified eight genes (CBX3, GNA12, P4HA1, PLAU, PPL, RAB25, EPHX3, and HLF) with non-zero regression coefficients in TCGA-HNSC datasets. Survival analysis revealed that the overall survival (OS) of GSE41613 and GSE65858 datasets and the progression-free survival(DFS)of GSE27020 and GSE42743 datasets in the low-risk group exhibited better survival outcomes compared with the high-risk group. To verify that the eight-mRNA prognostic model was independent of other clinical features, KM survival analysis of the specific subtypes with different clinical characteristics was performed. Univariate and multivariate Cox regression analyses were used to identify three independent prognostic factors to construct a prognostic nomogram. Finally, the GSVA algorithm identified six pathways that were activated in the intersection of the TCGA-HNSC, GSE65858, and GSE41613 datasets, including early estrogen response, cholesterol homeostasis, oxidative phosphorylation, fatty acid metabolism, bile acid metabolism, and Kras signaling. However, the epithelial-mesenchymal transition pathway was inhibited at the intersection of the three datasets. In conclusion, the eight-gene prognostic signature proved to be a useful tool in the prognostic evaluation and facilitate personalized treatment of HNSCC patients.

Indexed as

Cox regressionGEOhead and neck squamous carcinomaLASSOprognostic signatureTCGA

Identifiers

PMID34221975
PMCPMC8252784

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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.