Evidence map›Paper›PMID 36991102›Full record

ArticleScientific reports2023

An immune indicator based on BTK and DPEP2 identifies hot and cold tumors and clinical treatment outcomes in lung adenocarcinoma.

Tao Han, Yafeng Liu, Jing Wu, Ying Bai, Jiawei Zhou, Chunxiao Hu, Wenting Zhang, Jianqiang Guo, Qingsen Wang, Dong Hu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
2.3field-weighted citation impact, top 11% 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, 9 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

10 authors at 1 institution in 1 country.

Tao Han *School of Medicine, Anhui University of Science and Technology, Huainan, 232001, People's Republic of China.
Yafeng Liu *School of Medicine, Anhui University of Science and Technology, Huainan, 232001, People's Republic of China.
Jing WuSchool of Medicine, Anhui University of Science and Technology, Huainan, 232001, People's Republic of China. wujing8008@126.com.
Ying BaiSchool of Medicine, Anhui University of Science and Technology, Huainan, 232001, People's Republic of China.
Jiawei ZhouSchool of Medicine, Anhui University of Science and Technology, Huainan, 232001, People's Republic of China.
Chunxiao HuSchool of Medicine, Anhui University of Science and Technology, Huainan, 232001, People's Republic of China.
Wenting ZhangSchool of Medicine, Anhui University of Science and Technology, Huainan, 232001, People's Republic of China.
Jianqiang GuoSchool of Medicine, Anhui University of Science and Technology, Huainan, 232001, People's Republic of China.
Qingsen WangSchool of Medicine, Anhui University of Science and Technology, Huainan, 232001, People's Republic of China.
Dong HuSchool of Medicine, Anhui University of Science and Technology, Huainan, 232001, People's Republic of China. austhudong@126.com.
Anhui University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In lung adenocarcinoma (LUAD), immune heterogeneity of hot and cold tumors has been recognized as one of the major factors affecting immunotherapy and other common treatments. However, there is still a lack of biomarkers that can effectively identify the immunophenotype of cold and hot tumors. First, the immune signatures were obtained based on literature mining, including macrophage/monocyte, IFN-γ response, TGF-β response, IL12 response, lymphocyte activation, and ECM/Dve/immune response. Subsequently, LUAD patients were further clustered into different immune phenotypes based on these immune signatures. Next, the key genes related to the immune phenotypes were screened by WGCNA analysis, univariate analysis, and lasso-cox analysis, and the risk signature was established via the key genes. In additional, we compared the clinicopathological characteristics, drug sensitivity, the abundance of immune infiltration, and the efficacy of immunotherapy and commonly used therapies between patients in the high- and low-risk groups in LUAD. LUAD patients were divided into immune hot phenotype and immune cold phenotype groups. The clinical presentation showed that patients with the immune hot phenotype had higher immunoactivity (including higher MHC, CYT, immune, stromal, ESTIMATE scores, higher abundance of immune cell infiltration, higher abundance of TIL, and enrichment of immune-enriched subtypes) and better survival outcomes than those with the immune cold phenotype. Subsequently, WGCNA analysis, univariate analysis, and lasso-cox analysis identified the genes highly associated with the immune phenotype: BTK and DPEP2. The risk signature, consisting of BTK and DPEP2, is highly correlated with the immune phenotype. High-risk scores were enriched in patients with immune cold phenotype and low-risk scores were enriched in patients with immune hot phenotype. Compared to the high-risk group, the low-risk group had better clinical performance, higher drug sensitivity, and a higher degree of immunoactivity, as well as better efficacy in receiving immunotherapy and common adjuvant therapy. This study developed an immune indicator consisting of BTK and DPEP2 based on the heterogeneity of hot and cold Immunophenotypes of the tumor microenvironment. This indicator has good efficacy in predicting prognosis and assessing the efficacy of immunotherapy, chemotherapy, and radiotherapy. It has the potential to facilitate personalized and precise treatment of LUAD in the future.

Indexed as

Adenocarcinoma of LungLung NeoplasmsAgammaglobulinaemia Tyrosine KinaseCombined Modality TherapyDipeptidasesHumansImmunotherapyPrognosisTreatment OutcomeTumor MicroenvironmentAgammaglobulinaemia Tyrosine KinaseBtk protein, mouseDipeptidases

Identifiers

PMID36991102
PMCPMC10060209
OpenAlexW4361295303

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.