Characteristics of toxicity occurrence patterns in concurrent chemoradiotherapy after induction chemotherapy for patients with locally advanced non-small cell lung cancer: a pooled analysis based on individual patient data of CALGB/Alliance trials.

Abstract

Background

For patients with locally advanced non-small cell lung cancer (NSCLC), concurrent chemoradiotherapy is the foundational treatment strategy. Adding induction chemotherapy did not achieve a superior efficacy but increased the burden from toxicity. Accordingly, we retrospectively investigated the toxicity patterns through pooling individual patient data of the Cancer and Leukemia Group B (CALGB)/Alliance trials.

Methods

We included a total of 637 patients with unresectable stage III NSCLC who received induction chemotherapy with a platinum doublet and concurrent chemoradiotherapy and experienced at least one adverse event (AE) in CALGB 9130, 9431, 9534, 30105, 30106 and 39801 trials. The following toxicity occurrence patterns were evaluated: top 10 most frequent AEs, AE distribution by grade, rate of treatment discontinuation due to AEs, associations of AE occurrence with patient characteristics and treatment phase, the time to the first grade ≥3 AE occurrence and its associations with patient characteristics and treatment phase.

Results

The occurrence of AEs was the main reason accounting for treatment discontinuation (60 of 637 among all patients; 18 of 112 patients who experienced the induction phase only; 42 of 525 patients who experienced both phases). All patients experienced a total of 11,786 AEs (grade ≥3: 1,049 of 5,538 in induction phase, 1,382 of 6,248 in concurrent phase). Lymphocytes and white blood count were of top 3 grade ≥3 AEs that patients experienced the most in the either phase. Multivariable analysis found AE occurrence was associated with age ≥65 [any grade: odds ratio (OR) =1.44, 95% confidence interval (CI): 1.12-1.86] and the concurrent phase (grade ≥3: OR =1.86, 95% CI: 1.41-2.47; any grade: OR =1.47, 95% CI: 1.19-1.81). Patients in the concurrent phase were more likely and earlier to develop grade ≥3 AEs than those in the induction phase [hazard ratio (HR) =4.37, 95% CI: 2.52-7.59].

Conclusions

The report provides a better understanding regarding the toxicity occurrence patterns in concurrent chemoradiotherapy after induction chemotherapy.

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.21037/tcr-22-2006

Publication Info

Yang, Lexie Zidanyue, Qihua He, Jianrong Zhang, Apar Kishor Ganti, Thomas E Stinchcombe, Herbert Pang and Xiaofei Wang (2022). Characteristics of toxicity occurrence patterns in concurrent chemoradiotherapy after induction chemotherapy for patients with locally advanced non-small cell lung cancer: a pooled analysis based on individual patient data of CALGB/Alliance trials. Translational cancer research, 11(10). pp. 3506–3521. 10.21037/tcr-22-2006 Retrieved from https://hdl.handle.net/10161/30409.

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Scholars@Duke

Yang

Lexie Zidanyue Yang

Biostatistician II

Education: Masters Degree, Biostatistics.  Duke University School of Medicine. 2018

Overview: Lexie graduated from the master’s program in biostatistics at Duke in 2018. Over the past five years, she has collaborated with doctors, residents, fellows, and medical students in the Department of Neurosurgery and Pharmacy. Additionally, she is currently working with a faculty member in Surgery to investigate the impact of environmental factors on certain diseases. Lexie has extensive experience in data management with large databases, including MarketScan, HCUP, and CMS Medicare. She has also worked with EHR data and has experience with data extraction from DEDUCE and CRDM. Her statistical interests include longitudinal analysis, mediation analysis, survival analysis and latent class analysis.

Educational Background
Master of Biostatistics
Duke University (Durham, NC, USA) 2016-2018

Bachelor of Science
Mathematics, Statistics
University of Wisconsin-Madison (Madison, WI, USA) 2013-2016
Shandong University (Shandong, China) 2011-2013

Pang

Herbert Pang

Adjunct Assistant Professor in the Department of Biostatistics & Bioinformatics

Classification and Predictive Models
Design and Analysis of Biomarker Clinical Trials
Genomics
Pathway Analysis

Wang

Xiaofei Wang

Professor of Biostatistics & Bioinformatics

Survival Analysis
Causal Inference
Design and Analysis of Clinical Trials
Methods for Diagnostic and Predictive Medicine
Analysis of Data from Multiple Sources



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