Pretreatment Tumor Growth Rate and Radiological Response as Predictive Markers of Pathological Response and Survival in Patients with Resectable Lung Cancer Treated by Neoadjuvant Treatment

新辅助治疗后可切除肺癌患者的治疗前肿瘤生长速度和放射学反应可作为病理反应和生存的预测指标

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Abstract

INTRODUCTION: Predictive biomarkers associated with pathological response, progression precluding surgery, and/or recurrence after surgery are needed for patients with resectable non-small cell lung carcinoma (NSCLC) treated by neoadjuvant treatment. We evaluated the clinical impact of the pretreatment tumor growth rate (TGR(0)) and radiological response for patients with resectable NSCLC treated with neoadjuvant therapies. METHODS: Consecutive patients with resectable stage IB (≥4 cm) to IIIA NSCLC treated by neoadjuvant platinum-doublet chemotherapy with or without nivolumab at our tertiary center were retrospectively analyzed. TGR(0) and RECIST objective responses were determined. Multivariable analyses identified independent predictors of event-free survival (EFS), overall survival (OS), and major pathological response (MPR). RESULTS: Between November 2017 and December 2022, 32 patients (mean [SD] age, 63.8 [8.0] years) were included. At a median follow-up of 54.8 months (95% CI, 42.3-60.4 months), eleven patients (34%) experienced progression or recurrence, and twelve deaths (38%) were recorded. The TGR(0) cutoff of 30%/month remained the only independent factor associated with EFS (HR = 0.04; 95% CI, 0.01-0.3; p = 0.003) and OS (HR = 0.2; 95% CI, 0.03-0.7; p = 0.01). The TGR(0) cut-off had a mean time-dependent AUC of 0.83 (95% CI, 0.64-0.95) and 0.80 (95% CI, 0.62-0.97) for predicting EFS and OS, respectively. Fifteen of 26 resection cases (58%) showed MPR including nine with pathological complete responses (35%). Only the objective response of the primary tumor was associated with MPR (OR = 27.5; 95% CI, 2.6-289.1; p = 0.006). CONCLUSIONS: Assessment of TGR(0) can identify patients who should benefit from neoadjuvant treatment. A tumor objective response might be a predictor of MPR after neoadjuvant treatment, which will help to adapt surgical management.

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