Evidence map›Paper›PMID 33456497›Full record

ArticleComputational and mathematical methods in medicine2020

Prognostic Correlation of an Autophagy-Related Gene Signature in Patients with Head and Neck Squamous Cell Carcinoma.

Cai Yang, Hongxiang Mei, Liang Peng, Fulin Jiang, Bingjie Xie, Juan Li

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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  8. FADD as a key molecular player in cancer progression.Molecular medicine (Cambridge, Mass.) · 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

6 authors at 2 institutions in 1 country.

Cai YangDepartment of Orthodontics, West China Hospital of Stomatology, West China School of Stomatology, Sichuan University, State Key Laboratory of Oral Diseases, Chengdu 610041, China.ORCID https://orcid.org/0000-0001-6677-0532
Hongxiang MeiDepartment of Orthodontics, West China Hospital of Stomatology, West China School of Stomatology, Sichuan University, State Key Laboratory of Oral Diseases, Chengdu 610041, China.ORCID https://orcid.org/0000-0002-8462-638X
Liang PengIntelligent Information Technologies and Applications Lab (IIT), School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610041, China.ORCID https://orcid.org/0000-0002-9831-2787
Fulin JiangDepartment of Orthodontics, West China Hospital of Stomatology, West China School of Stomatology, Sichuan University, State Key Laboratory of Oral Diseases, Chengdu 610041, China.ORCID https://orcid.org/0000-0003-1332-6504
Bingjie XieDepartment of Orthodontics, West China Hospital of Stomatology, West China School of Stomatology, Sichuan University, State Key Laboratory of Oral Diseases, Chengdu 610041, China.ORCID https://orcid.org/0000-0003-2916-3359
Juan LiDepartment of Orthodontics, West China Hospital of Stomatology, West China School of Stomatology, Sichuan University, State Key Laboratory of Oral Diseases, Chengdu 610041, China.ORCID https://orcid.org/0000-0001-8320-2406
Sichuan University · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considerable evidence indicates that autophagy plays a vital role in the biological processes of various cancers. The aim of this study is to evaluate the prognostic value of autophagy-related genes in patients with head and neck squamous cell carcinoma (HNSCC). Transcriptome expression profiles and clinical data acquired from The Cancer Genome Atlas (TCGA) database were analyzed by Cox proportional hazards model and Kaplan-Meier survival analysis to screen autophagy-related prognostic genes that were significantly correlated with HNSCC patients' overall survival. Functional enrichment analyses were performed to explore biological functions of differentially expressed autophagy-related genes (ARGs) identified in HNSCC patients. Six ARGs (EGFR, HSPB8, PRKN, CDKN2A, FADD, and ITGA3) identified with significantly prognostic values for HNSCC were used to construct a risk signature that could stratify patients into the high-risk and low-risk groups. This signature demonstrated great value in predicting prognosis for HNSCC patients and was indicated as an independent prognostic factor in terms of clinicopathological characteristics (sex, age, clinical stage, histological grade, anatomic subdivision, alcohol history, smoking status, HPV status, and mutational status of the samples). The prognostic signature was also validated by data from the Gene Expression Omnibus (GEO) database and International Cancer Genome Consortium (ICGC). In conclusion, this study provides a novel autophagy-related gene signature for predicting prognosis of HNSCC patients and gives molecular insights of autophagy in HNSCC.

Indexed as

AdultAgedAged, 80 and overAutophagyBiomarkers, TumorCohort StudiesComputational BiologyDatabases, GeneticFemaleGene Expression Regulation, NeoplasticGene OntologyHead and Neck NeoplasmsHumansKaplan-Meier EstimateMaleMiddle AgedBiomarkers, Tumor

Identifiers

PMID33456497
PMCPMC7785385
OpenAlexW3116983079

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LicenceCC BY
Read underepoch 390

Registered trials

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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.