Evidence map›Paper›PMID 36505278›Full record

ArticleAmerican journal of translational research2022

A new risk model for CSTA, FAM83A, and MYCT1 predicts poor prognosis and is related to immune infiltration in lung squamous cell carcinoma.

Yu Ding, Ting-Ting Bian, Qian-Yun Li, Jin-Rong He, Qiang Guo, Chuang-Yan Wu, Shan-Shan Chen

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 7 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

7 authors at 3 institutions in 1 country.

Yu DingKey Laboratory for Molecular Diagnosis of Hubei Province, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430014, Hubei, China.
Ting-Ting BianDepartment of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430022, Hubei, China.
Qian-Yun LiThe Fourth Affiliated Hospital, Zhejiang University School of Medicine Yiwu 310030, Zhejiang, China.
Jin-Rong HeKey Laboratory for Molecular Diagnosis of Hubei Province, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430014, Hubei, China.
Qiang GuoDepartment of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430022, Hubei, China.
Chuang-Yan WuDepartment of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430022, Hubei, China.
Shan-Shan ChenKey Laboratory for Molecular Diagnosis of Hubei Province, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430014, Hubei, China.
Huazhong University of Science and Technology · CNWuhan Union Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo create a prognostic model based on differentially expressed genes (DEGs) in early lung squamous cell carcinoma (LUSC) and characterize the relationship between risk scores and tumor immune infiltration.

methodsWe identified DEGs in normal and tumor tissues that overlapped between LUSC-related data sets from the Gene Expression Omnibus and the Cancer Genome Atlas and evaluated their roles in the diagnosis and prognosis of LUSC by Kaplan-Meier survival analysis, receiver operating characteristic (ROC) analysis, meta-analysis and nomogram analysis. We then constructed a risk model based on Cox regression analysis and the Akaike information criterion and identified the relationship between LUSC risk scores and immune infiltration.

resultsSixty-two overlapping DEGs were involved with keratinocyte differentiation, epidermal cell differentiation, neutrophil migration, granulocyte chemotaxis, granulocyte migration, leukocyte aggregation, and positive regulation of nuclear factor-κB (NF-κB) activity. Overexpression of family with sequence similarity 83 member A (

conclusionsThe expression levels of

Indexed as

Differentially expressed geneslung squamous cell carcinomaoverall survivalreceiver operating characteristicrisk model

Identifiers

PMID36505278
PMCPMC9730102
OpenAlexW4311289503

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.