Distinguishing MPLCs from IPMs using NGS-based molecular algorithms and histological assessment: A systematic review and validation study.

ABSTRACT: Distinguishing between multiple primary lung cancers and intrapulmonary metastases is crucial for staging, therapeutic planning, and prognosis. Traditional histological assessment provides a foundation for diagnosis, which can be limited when tumors showed identical or similar histological types. This systematic review and independent validation study aimed to evaluate the performance of next-generation sequencing (NGS)-based molecular algorithms alongside histological methods for the classification of multiple lung adenocarcinomas (MLAs). We conducted a literature search to identify relevant studies and selected algorithms for validation using a cohort of patients with MLAs. Our analysis included 27 patients with MLAs and compared histological assessment using Martini and Melamed criteria

SUBMITTER: Yang D 

PROVIDER: S-EPMC11856921 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature