Evidence map›Paper›PMID 38317982›Full record

ArticleHeliyon2024

Integration of bulk RNA sequencing to reveal protein arginine methylation regulators have a good prognostic value in immunotherapy to treat lung adenocarcinoma.

Zhiqiang Yang, Lue Li, Jianguo Wei, Hui He, Minghui Ma, Yuanyuan Wen

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In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zhiqiang YangDepartment of Respiratory and Critical Care, Zhoushan Hospital, Wenzhou Medical University, Zhejiang, 316000, China.
Lue LiDepartment of Respiratory and Critical Care, Zhoushan Hospital, Wenzhou Medical University, Zhejiang, 316000, China.
Jianguo WeiDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Hui HeDepartment of Pathology, Zhoushan Hospital, Wenzhou Medical University, Zhejiang, 316000, China.
Minghui MaDepartment of Gastrointestinal Surgery, Maoming People's Hospital, Maoming, Guangdong, 525000, China.
Yuanyuan WenDepartment of Pathology, Zhoushan Hospital, Wenzhou Medical University, Zhejiang, 316000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Given the differential expression and biological functions of protein arginine methylation (PAM) regulators in lung adenocarcinoma (LUAD), it may be of great value in the diagnosis, prognosis, and treatment of LUAD. However, the expression and function of PAM regulators in LUAD and its relationship with prognosis are unclear. Methods: 8 datasets including 1798 LUAD patients were selected. During the bioinformatic study in LUAD, we performed (i) consensus clustering to identify clusters based on 9 PAM regulators related expression profile data, (ii) to identify hub genes between the 2 clusters, (iii) principal component analysis to construct a PAM.score based on above genes, and (iv) evaluation of the effect of PAM.score on the deconstruction of tumor microenvironment and guidance of immunotherapy. Results: We identified two different clusters and a robust and clinically practicable prognostic scoring system. Meanwhile, a higher PAM.score subgroup showed poorer prognosis, and was validated by multiple cohorts. Its prognostic effect was validated by ROC (Receiver operating characteristic curve) curve and found to have a relatively good prediction efficacy. High PAM.score group exhibited lower immune score, which associated with an immunosuppressive microenvironment in LUAD. Finally, patients exhibiting a lower PAM.score presented noteworthy therapeutic benefits and clinical advantages. Conclusion: Our PAM.score model can help clinicians to select personalized therapy for LUAD patients, and PAM.score may act a part in the development of LUAD.

Indexed as

Arginine methylationImmunotherapyLung adenocarcinomaTumor microenvironment

Identifiers

PMID38317982
PMCPMC10838759

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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.