Evidence map›Paper›PMID 42582775›Full record

ArticleTranslational lung cancer research2026

A retrospective cohort study integrating invasive mucinous adenocarcinoma into the IASLC grading system for lung adenocarcinoma.

Hanyue Li, Haoran Liu, Hui Shi, Rongji Mu, Lei Xu, Wentao Fang, Teng Mao

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Article in Translational lung cancer research, 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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7 authors.

Hanyue Li *Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0006-8776-9024
Haoran Liu *Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hui ShiDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rongji MuInstitute of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lei XuDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wentao FangDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Teng MaoDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The current International Association for the Study of Lung Cancer (IASLC) grading system for invasive pulmonary adenocarcinoma excludes invasive mucinous adenocarcinoma (IMA) and mixed IMA, limiting its prognostic scope. We aimed to refine the IASLC grading system by incorporating IMA and mixed IMA, and to validate it in large-scale cohorts. Methods: This single-institutional study included 692 patients with stage I-III lung invasive adenocarcinoma from Shanghai Chest Hospital (training cohort) and 7,862 from the Surveillance, Epidemiology, and End Results (SEER) database (validation cohort). We introduced IMA and reclassified the IASLC grading system. Prognostic performance was assessed using Harrell C-index, time-dependent receiver operating characteristic (ROC) curves and areas under the curve (AUCs). Overall survival (OS) curves were estimated via the Kaplan-Meier method, with log-rank test for difference comparison. Results: Mucinous predominant tumors with <20% of high-grade patterns (solid, micro papillary, complex glandular patterns) were classified as the Grade 2 (moderately differentiated). The proposed expanded grading system demonstrated improved prognostic accuracy, with C-index and AUC values of 0.713 and 0.739 in the training cohort, and 0.707 and 0.742 in the validation cohort, respectively. The 5-year OS rates for Grade 1, Grade 2, and Grade 3 were 87.5%, 73.1%, and 55.5% in the training cohort (P<0.001), and 80.2%, 67.3%, and 60.0% in the validation cohort (P<0.001). The proposed expanded grading system demonstrated superior prognostic performance compared to the current IASLC grading system in both cohorts. Conclusions: The proposed expanded IASLC grading system was practical and prognostic for lung invasive adenocarcinoma, and the introduction of IMA could improve its applicability.

Indexed as

Lung adenocarcinomamucinous adenocarcinomapathologic gradingprognostic stratification

Identifiers

PMID42582775
PMCPMC13458674

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