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Towards the molecular era of discriminating multiple lung cancers.
Wang, Ziyang; Yuan, Xiaoqiu; Jiang, Guanchao; Li, Yun; Yang, Fan; Wang, Jun; Chen, Kezhong.
Affiliation
  • Wang Z; Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
  • Yuan X; Peking University Health Science Center, Beijing, 100191, China.
  • Jiang G; Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
  • Li Y; Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
  • Yang F; Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
  • Wang J; Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
  • Chen K; Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China. Electronic address: chenkezhong@pkuph.edu.cn.
EBioMedicine ; 90: 104508, 2023 Apr.
Article in En | MEDLINE | ID: mdl-36958271
ABSTRACT
In the era of histopathology-based diagnosis, the discrimination between multiple lung cancers (MLCs) poses significant uncertainties and has thus become a clinical dilemma. However, recent significant advances and increased application of molecular technologies in clonal relatedness assessment have led to more precision in distinguishing between multiple primary lung cancers (MPLCs) and intrapulmonary metastasis (IPMs). This review summarizes recent advances in the molecular identification of MLCs and compares various methods based on somatic mutations, chromosome alterations, microRNAs, and tumor microenvironment markers. The paper also discusses current challenges at the forefront of genomics-based discrimination, including the selection of detection technology, application of next-generation sequencing, and intratumoral heterogeneity (ITH). In summary, this paper highlights an entrance into the primary stage of molecule-based diagnostics.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lung Neoplasms Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: EBioMedicine Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Lung Neoplasms Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: EBioMedicine Year: 2023 Document type: Article Affiliation country: China