Evaluation of Pathologic Response in Lymph Nodes of Patients With Lung Cancer Receiving Neoadjuvant Chemotherapy

医学 化疗 淋巴 肿瘤科 肺癌 内科学 原发性肿瘤 比例危险模型 新辅助治疗 淋巴结 放射科 癌症 病理 转移 乳腺癌
作者
Apar Pataer,Annikka Weissferdt,Ara A. Vaporciyan,Arlene M. Correa,Boris Sepesi,Ignacio I. Wistuba,John V. Heymach,Tina Cascone,Stephen G. Swisher
出处
期刊:Journal of Thoracic Oncology [Elsevier BV]
卷期号:16 (8): 1289-1297 被引量:31
标识
DOI:10.1016/j.jtho.2021.03.029
摘要

IntroductionMajor pathologic response (MPR), defined as residual viable tumor of less than or equal to 10%, currently serves as a surrogate end point for survival for patients with resectable NSCLC after neoadjuvant chemotherapy. However, the significance of pathologic response in lymph nodes harboring metastatic tumors in such patients remains uncertain. Therefore, we studied the effect of neoadjuvant chemotherapy on resected positive lymph nodes and determined if the degree of pathologic response in the lymph nodes alone (LN-MPR) or in combination with that of the primary tumor (PT-MPR) was able to predict the outcome.MethodsA total of 75 patients with NSCLC who underwent neoadjuvant chemotherapy and completed surgical resection were included in this study. Tissue specimens were retrospectively evaluated by two pathologists blinded to the patients’ treatments and outcomes. Specimens were reviewed for the degree of pathologic response in the primary tumor and in any involved lymph nodes. The prognostic performance of LN-MPR alone or in combination with PT-MPR with respect to overall survival (OS) was evaluated using the Kaplan-Meier method and Cox regression model.ResultsLN-MPR was significantly predictive of long-term OS after neoadjuvant chemotherapy. A combination of PT-MPR with LN-MPR was significantly associated with outcome and allowed stratification of patients into three prognostic groups (p = 0.001).ConclusionsLN-MPR in isolation is a reliable predictor of OS in patients with NSCLC receiving neoadjuvant chemotherapy. A combination of LN-MPR with PT-MPR seems to correlate well with the outcome and can be used to predict prognosis in this patient population.
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