Radiotherapy-related lymphopenia affects overall survival in patients with lung cancer

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Abstract

Introduction

Lymphopenia following radiotherapy has an adverse effect on patient's outcome. However, the relationship between radiotherapy dose delivery and lymphopenia is not fully understood. This work is utilizing image-based data mining to identify anatomical regions where the received dose is correlated with severe lymphopenia.

Methods

901 lung cancer patients were analyzed. A Cox model was used to assess prognostic factors of overall survival (OS). Two matched groups were defined-patients with and without lymphopenia≥G3-based on tumor volume, baseline lymphocytes, and delivered dose. Then, data mining was used to identify regions where dose correlates significantly with lymphopenia≥G3. For this, dose matrices were aligned using registration of the computed tomography (CT) images to one reference patient. Mean dose distributions were obtained for the two groups and organs of significance were detected. Dosimetric parameters from the identified organs that had the highest correlation with lymphocytes at nadir were selected. Multivariable analysis was conducted for lymphopenia≥G3 on the full lung cohort and the model was tested on 305 esophageal cancer patients.

Results

Adjusted Cox regression showed that lymphopenia≥G3 was an independent factor of OS. The anatomical regions identified were heart, lung, and thoracic vertebrae. Dosimetric parameters for lymphopenia included vertebrae V20, mean lung dose and, mean heart dose which was further validated in the esophageal cancer cohort.

Conclusions

We have shown severe lymphopenia during radiotherapy is a significant poor prognostic factor for OS in lung cancer patients and could be mitigated by minimizing vertebrae V20, mean lung and heart dose to limit irradiation of stem cells and blood pool.

Original languageEnglish
JournalJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
Early online date14 Jun 2020
DOIs
Publication statusE-pub ahead of print - 14 Jun 2020

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