Evidence map›Paper›PMID 42022348›Full record

ArticlePrecision radiation oncology2026

Thoracic radiotherapy may enhance the survival of patients with low-risk advanced lung adenocarcinoma based on protein biomarkers.

Chunliu Meng, Fang Wang, Juan Wang, Jia Tian, Xue Li, Haijun Lu, Lujun Zhao, Ping Wang

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Article in Precision radiation oncology, 2026. 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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5 · Who and what money

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8 authors.

Chunliu MengDepartment of Radiation Oncology The Affiliated Hospital of Qingdao University Qingdao China.ORCID https://orcid.org/0000-0001-9414-2226
Fang WangDepartment of Radiation Oncology Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center for Cancer Tianjin Key Laboratory of Cancer Prevention and Therapy Tianjin's Clinical Research Center for Cancer Tianjin China.
Juan WangDepartment of Radiation Oncology The Affiliated Hospital of Qingdao University Qingdao China.
Jia TianDepartment of Radiation Oncology Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center for Cancer Tianjin Key Laboratory of Cancer Prevention and Therapy Tianjin's Clinical Research Center for Cancer Tianjin China.
Xue LiDepartment of Radiation Oncology Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center for Cancer Tianjin Key Laboratory of Cancer Prevention and Therapy Tianjin's Clinical Research Center for Cancer Tianjin China.
Haijun LuDepartment of Radiation Oncology The Affiliated Hospital of Qingdao University Qingdao China.ORCID https://orcid.org/0000-0003-4733-5310
Lujun ZhaoDepartment of Radiation Oncology Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center for Cancer Tianjin Key Laboratory of Cancer Prevention and Therapy Tianjin's Clinical Research Center for Cancer Tianjin China.
Ping WangDepartment of Radiation Oncology Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center for Cancer Tianjin Key Laboratory of Cancer Prevention and Therapy Tianjin's Clinical Research Center for Cancer Tianjin China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Several clinical trials have demonstrated promising outcomes with thoracic radiotherapy (TRT) in patients with advanced lung adenocarcinoma (LUAD). However, a subset of patients derives no significant survival benefit from TRT. This study aimed to develop a risk model integrating biomarkers and clinical factors to identify patients most likely to benefit from TRT. Methods: Prognostic proteins associated with LUAD survival were identified using data from The Cancer Proteome Atlas. Immunohistochemical analysis was performed to evaluate protein expression in patients with advanced LUAD treated at our institution between 2015 and 2019. Univariate and multivariate Cox regression analyses were conducted to determine clinical factors influencing prognosis. A risk model combining biomarkers and clinical variables was constructed to generate individualized risk scores. Results: Four proteins, PAI-1, KU80, FOXO3A_pS318S321, and CKIT, were selected for further analysis. A total of 272 patients were divided into training ( Conclusion: Multiple biomarkers and clinical variables are associated with prognosis in LUAD. The risk model developed herein indicates that TRT confers a survival benefit exclusively in patients classified as low risk.

Indexed as

biomarkerslung adenocarcinomarisk modelthoracic radiotherapy

Identifiers

PMID42022348
PMCPMC13097672

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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.