Evidence map›Paper›PMID 34395248›Full record

ArticleFrontiers in oncology2021

Immune Microenvironment Signatures as Biomarkers to Predict Early Recurrence of Stage Ia-b Lung Cancer.

Qiang Wang, Danting Zhou, Fang Wu, Qingchun Liang, Qiongzhi He, Muyun Peng, Tianyu Yao, Yan Hu, Banglun Qian, Jingqun Tang and 4 more

Open access · goldAbstract 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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 25 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

14 authors at 2 institutions in 1 country.

Qiang WangDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Danting ZhouDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Fang WuDepartment of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China.
Qingchun LiangDepartment of Pathology, The Second Xiangya Hospital of Central South University, Changsha, China.
Qiongzhi HeGeneplus-Beijing Institute, Beijing, China.
Muyun PengDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Tianyu YaoDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Yan HuDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Banglun QianDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Jingqun TangDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Xiang WangDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Wenliang LiuDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Fenglei YuDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Chen ChenDepartment of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, China.
Central South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionApproximately 30% of patients diagnosed with stage Ia-b NSCLC die of recurrent disease after surgery. This study aimed to identify immune-related biomarkers that might predict tumor recurrence in stage Ia-b NSCLC within 40 months after curative resection.

methodsGene expression data of stage Ia-b NSCLC samples was retrieved from the TCGA database, the GEO databases, and the Second Xiangya hospital (XXEYY) database. 22 types of tumors infiltrating immune cells and the expression of immune-associated genes were investigated using CIBERSORT, immunohistochemical staining, and GSEA analyses in a total of 450 patients (80 in the training cohort and 370 in the validation cohorts). Recurrence-related immune features were selected based on the LASSO Cox regression model.

resultsHigh density of Tregs, Macrophages M0 and M1 cell could be observed in recurrence group while the memory B cell was more frequently enriched in controls, yet Tregs alone was significantly associated with tumor early recurrence in TCGA cohort, XYEYY cohort and GSE37745 dataset. A handful of immune-related genes were identified in the recurrence group. Based on Lasso regression analysis, the expressions of five immune-related genes, RLTPR, SLFN13, MIR4500HG, HYDIN and TPRG1 were closely correlated with tumor early recurrence. In the training cohort (TCGA), the combination of these five genes has sensitivity and specificity of 85% and 85%, with AUC of 0.91 (95% CI 0.84-0.98) for lung cancer early recurrence prediction, whereas in validation cohorts, the sensitivity and specificity using this panel was 61-89% and 54-82%, with AUC of 0.62-0.84.

conclusionOur study demonstrated that the immune microenvironment signatures were closely related to tumor early recurrence. Compared to tumor-infiltrating lymphocytes, the expression of five immune-related genes could be robust biomarkers to predict early recurrence of stage Ia-b NSCLC after curative resection.

Indexed as

biomarkergene expressionlung cancerrecurrenceTILs (tumor-infiltrating lymphocytes)

Identifiers

PMID34395248
PMCPMC8356052
OpenAlexW3183581557

What OpenQuestion holds

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LicenceCC BY
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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.