Evidence map›Paper›PMID 35488327›Full record

ArticleBMC oral health2022

A prognostic model for oral squamous cell carcinoma using 7 genes related to tumor mutational burden.

Fei Wu, Yuanyuan Du, Xiujuan Hou, Wei Cheng

Open access · goldAbstract read
In one paragraph

Article in BMC oral health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Fei Wu *Department I of Oral Comprehensive Outpatient, Yantai Stomatological Hospital of Binzhou Medical University, Yantai, 264001, Shandong, China.
Yuanyuan Du *Department of Dental Implant, Yantai Stomatological Hospital of Binzhou Medical University, Yantai, 264001, Shandong, China.
Xiujuan HouDepartment I of Oral Comprehensive Outpatient, Yantai Stomatological Hospital of Binzhou Medical University, Yantai, 264001, Shandong, China.
Wei ChengDepartment of Dental Prosthodontics, Yantai Stomatological Hospital of Binzhou Medical University, No. 142 Zhifu District, Yantai, 264001, Shandong, China. dentistcheng1984@163.com.
Binzhou University · CNBinzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOral squamous cell carcinoma (OSCC) is a rising problem in global public health. The traditional physical and imageological examinations are invasive and radioactive. There is a need for less harmful new biomarkers. Tumor mutational burden (TMB) is a novel prognostic biomarker for various cancers. We intended to explore the relationship between TMB-related genes and the prognosis of OSCC and to construct a prognostic model.

methodsTMB-related differential expressed genes (DEGs) were screened by differential analysis and optimized via the univariate Cox and LASSO Cox analyses. Risk Score model was constructed by expression values of screened genes multiplying coefficient of LASSO Cox.

resultsSeven TMB-related DEGs (CTSG, COL6A5, GRIA3, CCL21, ZNF662, TDRD5 and GSDMB) were screened. Patients in high-risk group (Risk Score >  - 0.684511507) had worse prognosis compared to the low-risk group (Risk Score <  - 0.684511507). Survival rates of patients in the high-risk group were lower in the gender, age and degrees of differentiation subgroups compared to the low-risk group.

conclusionsThe Risk Score model constructed by 7 TMB-related genes may be a reliable biomarker for predicting the prognosis of OSCC patients.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsMouth NeoplasmsBiomarkers, TumorGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPrognosisSquamous Cell Carcinoma of Head and NeckBiomarkers, TumorDifferential expression genes (DEGs)Oral squamous cell carcinoma (OSCC)Risk ScoreTumor mutational burden (TMB)

Identifiers

PMID35488327
PMCPMC9052477
OpenAlexW4225144480

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.