Differentiating Separate Primary Lung Adenocarcinomas From Intrapulmonary Metastases With Emphasis on Pathological and Molecular Considerations: Recommendations From the International Association for the Study of Lung Cancer Pathology Committee
Teh-Ying Chou MD, PhD , Sanja Dacic MD, PhD , Ignacio Wistuba MD, PhD , Mary Beth Beasley MD , Sabina Berezowska MD , Yeun-Chung Chang MD, PhD , Jin-Haeng Chung MD, PhD , Casey Connolly MPH , Yuchen Han MD, PhD , Fred R. Hirsch MD, PhD , David M. Hwang MD, PhD , Andrew Janowczyk PhD , Philippe Joubert MD, PhD , Keith M. Kerr MBChB, FRCPath , Dongmei Lin MD , Yuko Minami MD, PhD , Mari Mino-Kenudson MD , Andrew G. Nicholson DM, FRCPath , Mauro Papotti MD , Natasha Rekhtman MD, PhD , Wendy A. Cooper MBBS, PhD, FRCPA
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引用次数: 0
Abstract
Introduction
With the implementation of low-dose computed tomography screening, multiple pulmonary tumor nodules are diagnosed with increasing frequency and the selection of surgical treatments versus systemic therapies has become challenging on a daily basis in clinical practice. In the presence of multiple carcinomas, especially adenocarcinomas, pathologically determined to be of pulmonary origin, the distinction between separate primary lung carcinomas (SPLCs) and intrapulmonary metastases (IPMs) is important for staging, management, and prognostication.
Methods
We systemically reviewed various means that aid in the differentiation between SPLCs and IPMs explored by histopathologic evaluation and molecular profiling, the latter includes DNA microsatellite analysis, array comparative genomic hybridization, TP53 and oncogenic driver mutation testing and, more recently, with promising effectiveness, next-generation sequencing comprising small- or large-scale multi-gene panels.
Results
Comprehensive histologic evaluation may suffice to differentiate between SPLCs and IPMs. Nevertheless, molecular profiling using larger-scale next-generation sequencing typically provides superior discriminatory power, allowing for more accurate classification. On the basis of the literature review and expert opinions, we proposed a combined four-step histologic and molecular classification algorithm for addressing multiple pulmonary tumor nodules of adenocarcinoma histology that encourages a multidisciplinary approach. It is also noteworthy that new technologies combining machine learning and digital pathology may develop into valuable diagnostic tools for distinguishing SPLCs from IPMs in the future.
Conclusions
Although histopathologic evaluation is often adequate to differentiate SPLCs from IPMs, molecular profiling should be performed when possible, especially in cases with tumors exhibiting similar morphology. This manuscript summarized the previous efforts in resolving the current challenges and highlighted the recent progress in the differentiation methods and algorithms used in categorizing multiple lung adenocarcinomas into SPLCs or IPMs, which are becoming more and more critical in precision lung cancer management.
期刊介绍:
Journal of Thoracic Oncology (JTO), the official journal of the International Association for the Study of Lung Cancer,is the primary educational and informational publication for topics relevant to the prevention, detection, diagnosis, and treatment of all thoracic malignancies.The readship includes epidemiologists, medical oncologists, radiation oncologists, thoracic surgeons, pulmonologists, radiologists, pathologists, nuclear medicine physicians, and research scientists with a special interest in thoracic oncology.