Evidence map›Paper›PMID 33837652›Full record

ArticleJournal of cellular and molecular medicine2021

Screening and identification of autophagy-related biomarkers for oral squamous cell carcinoma (OSCC) via integrated bioinformatics analysis.

Guang-Zhao Huang, Zhi-Yun Lu, Yu Rao, Hai Gao, Xiao-Zhi Lv

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  3. The Interplay between Autophagy and Mitochondria in Cancer.International journal of molecular sciences · 2024
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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

5 authors at 2 institutions in 1 country.

Guang-Zhao HuangDepartment of Oral & Maxillofacial Surgery, NanFang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0002-7149-5632
Zhi-Yun LuDepartment of Oral & Maxillofacial Surgery, NanFang Hospital, Southern Medical University, Guangzhou, China.
Yu RaoDepartment of Oral & Maxillofacial Surgery, NanFang Hospital, Southern Medical University, Guangzhou, China.
Hai GaoDepartment of Prosthodontics, Stomatological Hospital, Southern Medical University, Guangzhou, China.
Xiao-Zhi LvDepartment of Oral & Maxillofacial Surgery, NanFang Hospital, Southern Medical University, Guangzhou, China.
Southern Medical University · CNGuangdong Province Stomatological Hospital · CN

Funding

National Natural Science Foundation of China 81472536Project of Educational Commission of Guangdong Province of China 2018KTSCX026the Presidential Foundation of the Nanfang Hospital 2014027the Presidential Foundation of the Nanfang Hospital 2019Z030the Science and Technology Planning Project of Guangdong Province 2014A020212440the Science and Technology Planning Project of Guangdong Province 2017A020215181the Scientific Research Planning Project of Southern Medical University CX2018N016
6 · The paper itself

Abstract

Increasing evidences have showed that autophagy played a significant role in oral squamous cell carcinoma (OSCC). Purpose of our study was to explore the prognostic value of autophagy-related genes (ATGs) and screen autophagy-related biomarkers for OSCC. RNA-seq and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database following extracting ATG expression profiles. Then, differentially expressed analysis was performed in R software and a risk score model according to ATGs was established. Moreover, comprehensive bioinformatics analyses were used to screen autophagy-related biomarkers which were later verified in OSCC tissues and cell lines. A total of 232 ATGs were extracted, and 37 genes were differentially expressed in OSCC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis demonstrated that these genes were mainly located in autophagosome membrane and associated with autophagy. Furthermore, the risk score on basis of ATGs was identified as potential independent prognostic biomarker. Moreover, ATG12 and BID were identified as potential autophagy-related biomarkers of OSCC. This study successfully constructed a risk model, and the risk score could predict the prognosis of OSCC patients accurately. Moreover, ATG12 and BID were identified as two potential independent prognostic autophagy-related biomarkers and might provide new OSCC therapeutic targets.

Indexed as

AutophagyGene Expression Regulation, NeoplasticApoptosisAutophagy-Related ProteinsBiomarkers, TumorCarcinoma, Squamous CellCell ProliferationComputational BiologyFemaleGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansMiddle AgedMouth NeoplasmsPrognosisAutophagy-Related ProteinsBiomarkers, TumorATG12autophagyBIDbioinformaticsoral squamous cell carcinomaprognosis

Identifiers

PMID33837652
PMCPMC8093968
OpenAlexW3140888207

What OpenQuestion holds

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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.