| Title: |
The IASLC grading system for invasive pulmonary adenocarcinoma: a potential prognosticator for patients receiving neoadjuvant therapy |
| Authors: |
Haoran E, Junqi Wu, Yijiu Ren, Lang Xia, Long Xu, Shaoling Li, Yue Zhao, Chongwu Li, Yunlang She, Chunxia Su, Chunyan Wu, Likun Hou, Deping Zhao, Chang Chen |
| Source: |
Therapeutic Advances in Medical Oncology, Vol 15 (2023) |
| Publisher Information: |
SAGE Publishing, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| Subject Terms: |
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| More Details: |
Background: Grading system for resected invasive pulmonary adenocarcinoma proposed by the International Association for the Study of Lung Cancer (IASLC) was validated as a strong prognostic indicator. Nonetheless, the efficacy of utilizing such grading system in prognostic assessment of patients receiving neoadjuvant therapy still needs elucidating. Methods: A retrospective study was conducted including patients with resected adenocarcinoma following neoadjuvant chemotherapy or targeted therapy from August 2012 to December 2020 in Shanghai Pulmonary Hospital. All the surgical specimens were re-evaluated and graded. The prognostic value of the grading system was further validated. Results: Ultimately, a total of 198 patients were enrolled in this study, and subdivided into three cohorts according to the grading system. There were 13 (6.6%), 37 (18.7%), and 148 (74.7%) patients belonging to Grades 1, 2, and 3, respectively. IASLC grading system demonstrated significant power in prognosis differentiation of the entire cohort [recurrence-free survival (RFS), p |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1758-8359
17588359 |
| Relation: |
https://doaj.org/toc/1758-8359 |
| DOI: |
10.1177/17588359221148028 |
| Access URL: |
https://doaj.org/article/af4640557a184f0d878db0b6e68642fe |
| Accession Number: |
edsdoj.f4640557a184f0d878db0b6e68642fe |
| Database: |
Directory of Open Access Journals |
