Evidence map›Paper›PMID 39394157›Full record

ArticleBMC pulmonary medicine2024

Evaluation of the prognostic value of the new 9th edition Tumor-Node-Metastases (TNM) staging system for epidermal growth factor receptor (EGFR)-mutated lung adenocarcinoma patients with bone metastases.

Jin Peng, Fang Hu, Xiaowei Mao, Yanjie Niu, Meili Ma, Liyan Jiang

Abstract read
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Article in BMC pulmonary medicine, 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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5 · Who and what money

Authors and funding

6 authors.

Jin Peng *Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, 241 Huaihai West Road, Xuhui District, Shanghai, 200030, PR China.
Fang Hu *Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, 241 Huaihai West Road, Xuhui District, Shanghai, 200030, PR China.
Xiaowei MaoDepartment of Respiratory and Critical Care Medicine, Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, PR China.
Yanjie NiuDepartment of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, 241 Huaihai West Road, Xuhui District, Shanghai, 200030, PR China.
Meili MaDepartment of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, 241 Huaihai West Road, Xuhui District, Shanghai, 200030, PR China.
Liyan JiangDepartment of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, 241 Huaihai West Road, Xuhui District, Shanghai, 200030, PR China. jiang_liyan2000@126.com.

Funding

Chinese Society of Clinical Oncology Tumor Research Fund No. Y-2019AZZD-0038National Natural Science Foundation of China No. 82150005
6 · The paper itself

Abstract

backgroundThere are some changes in the new 9th edition Tumor-Node-Metastases (TNM) staging system for lung cancer, including subdividing M1c into M1c1 and M1c2 stage. The aim of this study was to assess the prognostic performance of the updated classification system and try to provide some real-world application data among advanced lung adenocarcinoma patients with bone metastases.

methodsAdvanced lung adenocarcinoma patients in M1c stage with bone metastases who receiving first-line first-generation epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) and T790M-guided osimertinib as the second-line therapy were retrospectively screened from December 2016 to December 2021. A total of 126 patients were enrolled in this study. 62 patients and 64 patients were subdivided into M1c1 and M1c2 groups according to the 9th edition of TNM staging system.The first-line real-world progression-free survival (1LrwPFS), the second-line real-world progression-free survival (2LrwPFS), post-progression survival (PPS) and real-world overall survival (rwOS) were analyzed.

resultsThe overall median rwOS was 40.1 months (95% CI 35.996-44.204). 1LrwPFS was 13.9 months (95% CI 12.653-15.147) and 2LrwPFS was 14.5 months (95% CI 11.665-17.335) for all patients.Patients in M1c2 stage was inferior to M1c1 stage patients in rwOS (35.2 months vs. 42.9 months, HR = 0.512, P = 0.005). 2LrwPFS was moderately correlated with rwOS (r = 0.621, R

conclusionsMore refined stratification of M1c according to the 9th edition of TNM staging system is conducive to the judgment of prognosis and the implementation of precision medicine for patients.

Indexed as

Adenocarcinoma of LungBone NeoplasmsErbB ReceptorsLung NeoplasmsNeoplasm StagingAcrylamidesAdultAgedAged, 80 and overAniline CompoundsFemaleHumansIndolesMaleMiddle AgedMutationAcrylamidesAniline CompoundsEGFR protein, humanErbB ReceptorsIndolesosimertinibProtein Kinase InhibitorsPyrimidinesBone metastasesEpidermal growth factor receptor tyrosine kinase inhibitorLung adenocarcinomaPrognosisUpdated stage classification

Identifiers

PMID39394157
PMCPMC11468161

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