ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2022
Prognostic and predictive value of the newly proposed grading system of invasive pulmonary adenocarcinoma in Chinese patients: a retrospective multicohort study.
Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.
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41 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.
- Prognostic impact of the newly revised IASLC proposed grading system for invasive lung adenocarcinoma: a systematic review and meta-analysis.World journal of surgical oncology · 2024Pooled it
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- Lepidic pattern as a favorable prognostic factor in pathologically high-risk stage I invasive lung adenocarcinoma.Translational lung cancer research · 2026Article
- A retrospective cohort study integrating invasive mucinous adenocarcinoma into the IASLC grading system for lung adenocarcinoma.Translational lung cancer research · 2026Article
- GAN-generated target reconstruction CT radiomics for prediction of the novel IASLC grading of pulmonary adenocarcinoma.Journal of thoracic disease · 2026Article
- Optimizing surgical decision-making for lung adenocarcinoma by preoperatively identifying pathological high-risk factors: retrospective development and prospective validation of a deep learning model.International journal of surgery (London, England) · 2026Article
- Nonlinear association between standardized uptake value (SUV) index based onQuantitative imaging in medicine and surgery · 2026Article
- Assessment of high-grade pattern in lung invasive nonmucinous adenocarcinoma based on multiparametric features from dual-layer detector spectral computed tomography combined with extracellular volume fraction.Quantitative imaging in medicine and surgery · 2026Article
- Radiological, Molecular, and Pathological Factors Unite: A Model for Predicting Recurrence-Free Survival in Pathological Stage I Lung Adenocarcinoma.Thoracic cancer · 2026Article
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- Comparative analysis of two-dimensional and three-dimensional machine learning models for predicting the degree of invasion in lung non-mucinous adenocarcinomas presenting as subsolid nodules.Frontiers in oncology · 2026Article
- Development of a machine learning-based model to predict prognosis of resected invasive pulmonary adenocarcinoma.Journal of thoracic disease · 2025Article
- Bio-interpretable ensemble learning model for invasive pulmonary adenocarcinoma grade using CT and histopathology images.NPJ precision oncology · 2025Article
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- Robotic-assisted bronchoscopy for histopathologic subtyping of primary lung adenocarcinoma.Lung cancer (Amsterdam, Netherlands) · 2025Article
- [Predicting Invasive Non-mucinous Lung Adenocarcinoma IASLC Grading: A Nomogram Based on Dual-energy CT Imaging and Conventional Features].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025Article
- Deciphering the intratumoral histologic heterogeneity of lung adenocarcinoma using radiomics.European radiology · 2025Article
- Combining CT radiomics and radiological features to predict pathological grade in stage I lung adenocarcinoma.Irish journal of medical science · 2025Article
- Article
- Clinical implication of tumor spread through air spaces in stage IA lung adenocarcinoma: prognostic impact and association with the International Association for the Study of Lung Cancer (IASLC) grade.Translational lung cancer research · 2025Article
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18 authors at 8 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Our aim was to validate and analyze the prognostic impact of the novel International Association for the Study of Lung Cancer (IASLC) Pathology Committee grading system for invasive pulmonary adenocarcinomas (IPAs) in Chinese patients and to evaluate its utility in predicting a survival benefit from adjuvant chemotherapy (ACT). In this multicenter, retrospective, cohort study, we included 926 Chinese patients with completely resected stage I IPAs and classified them into three groups (Grade 1, n = 119; Grade 2, n = 431; Grade 3, n = 376) according to the new grading system proposed by the IASLC. Recurrence-free survival (RFS) and overall survival (OS) were estimated by the Kaplan-Meier method, and prognostic factors were assessed using univariable and multivariable Cox proportional hazards models. All included cohorts were well stratified in terms of RFS and OS by the novel grading system. Furthermore, the proposed grading system was found to be independently associated with recurrence and death in the multivariable analysis. Among patients with stage IB IPA (N = 490), the proposed grading system identified patients who could benefit from ACT but who were undergraded by the adenocarcinoma (ADC) classification. The novel grading system not only demonstrated prognostic significance in stage I IPA in a multicenter Chinese cohort but also offered clinical value for directing therapeutic decisions regarding adjuvant chemotherapy.
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