Evidence map›Paper›PMID 32209727›Full record

ArticleAging2020

Prognostic value of immune-related genes in the tumor microenvironment of lung adenocarcinoma and lung squamous cell carcinoma.

Yan Qu, Bo Cheng, Na Shao, Yibin Jia, Qingxu Song, Bingxu Tan, Jianbo Wang

Abstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

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

52 citing papers in PubMed.

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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.

Yan QuDepartment of Radiation Oncology, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China.
Bo ChengDepartment of Radiation Oncology, Shandong Provincial Cancer Hospital, Jinan 250117, Shandong, China.
Na ShaoDepartment of Oncology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, Shandong, China.
Yibin JiaDepartment of Radiation Oncology, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China.
Qingxu SongDepartment of Radiation Oncology, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China.
Bingxu TanDepartment of Radiation Oncology, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China.
Jianbo WangDepartment of Radiation Oncology, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC), which consists mainly of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC), are the leading cause of cancer deaths worldwide. In this study, we performed a comprehensive analysis of the tumor microenvironmental and genetic factors to identify prognostic biomarkers for NSCLC. We evaluated the immune and stromal scores of patients with LUAD and LUSC using data from The Cancer Genome Atlas database with the ESTIMATE algorithm. Based on these scores, the differentially expressed genes were obtained and immune-related prognostic genes were identified. Functional analysis and protein-protein interaction network further revealed the immune-related biological processes in which these genes participated. Additionally, 22 subsets of tumor-infiltrating immune cells (TIICs) in the tumor microenvironment were analyzed with the CIBERSORT algorithm. Finally, we validated these valuable genes using an independent cohort from the Gene Expression Omnibus database. The associations of the immune and stromal scores with patients' clinical characteristics and prognosis were positive in LUAD but negative in LUSC and the correlations of TIICs with clinical characteristics were clarified. Several differentially expressed genes were identified to be potential immune-related prognostic genes. This study comprehensively analyzed the tumor microenvironment and presented immune-related prognostic biomarkers for NSCLC.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorCarcinoma, Squamous CellFemaleGene ExpressionHumansKaplan-Meier EstimateLung NeoplasmsMalePrognosisTumor MicroenvironmentBiomarkers, TumorGEOnon-small cell lung cancerprognosisTCGAtumor microenvironment

Identifiers

PMID32209727
PMCPMC7138544

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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.