Classification of multiple primary lung cancer in patients with multifocal lung cancer: assessment of a machine learning approach using multidimensional genomic data

Classification of multiple primary lung cancer in patients with multifocal lung cancer: assessment of a machine learning approach using multidimensional genomic data

BackgroundMultiple primary lung cancer (MPLC) is an increasingly well-known clinical phenomenon. However, its molecular characterizations are poorly understood, and still lacks of effective method to distinguish it from intrapulmonary metastasis (IM). Herein, we propose an identification model based...

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Bibliographic Details
Main Authors: Guotian Pei, Kunkun Sun, Yingshun Yang, Shuai Wang, Mingwei Li, Xiaoxue Ma, Huina Wang, Libin Chen, Jiayue Qin, Shanbo Cao, Jun Liu, Yuqing Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-05-01
Series:Frontiers in Oncology
Subjects:
MPLC: multiple primary lung cancer
IM: intrapulmonary metastasis
NSCLC: non-small cell lung cancer
GGO: ground-glass opacity
comprehensive genomic characteristics
molecular classifier
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1388575/full

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https://www.frontiersin.org/articles/10.3389/fonc.2024.1388575/full

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