Evidence map›Paper›PMID 35186710›Full record

ArticleFrontiers in oncology2021

Identification of Immune Subtypes of Lung Squamous Cell Carcinoma by Integrative Genome-Scale Analysis.

Liyuan Yin, Wen Zhang, Dan Pu, Xiaoqian Zhai, Yiyun Lin, Qiang Wu, Tangel Chang, Jia Hu, Yan Li, Qinghua Zhou

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

10 authors.

Liyuan YinLung Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Wen ZhangDepartment of Immunology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dan PuLung Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Xiaoqian ZhaiLung Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Yiyun LinGraduate School of Biomedical Sciences, University of Texas (UT) MD Anderson Cancer Center, Houston, TX, United States.
Qiang WuLung Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Tangel ChangDepartment of Radiation Oncology, University of Toledo, Toledo, OH, United States.
Jia HuLung Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Yan LiLung Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Qinghua ZhouLung Cancer Center, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCharacterization of the tumor microenvironment is helpful to understand the tumor immune environment of lung cancer and help predict the prognosis.

methodsFirst, immune subtypes were identified by consensus subtype among lung squamous carcinoma (LUSC) patients. Immune cell infiltration was evaluated by CIBERSORT and ESTIMATE analyses. Then, based on differentially expressed genes (DEGs) identified, a risk score model was constructed. Finally, gene

findingsLUSC samples were divided into four heterogeneous immune subtypes, with significantly different prognoses with subtype 4 having the poorest overall survival (OS). The immune infiltration score showed that subtype 4 was characterized as immune enriched and fibrotic, while subtype 3 was tumor enriched. DEG analysis showed that upregulated genes in subtype 4 were enriched of neutrophil and exhausted T cell-related biological processes. Based on a univariate Cox regression model, prognostic 7 immune-related genes were combined to construct a risk score model and able to predict OS rates in the validation datasets. Wound healing and transwell assay were conducted to evaluate the invasion property after activating the gene

interpretationThe analysis of tumor immune microenvironments among LUSC subtypes may provide new insights into the strategy of immunotherapy.

Indexed as

immuneimmune infiltrationlung squamous cell carcinomaneutrophilprognosis

Identifiers

PMID35186710
PMCPMC8847157

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