open access

Vol 72, No 3 (2022)
Research paper (original)
Published online: 2022-02-11
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The prognostic value of RDW, NLR and PLR in sequential radio-chemotherapy for advanced lung cancer

Iwona Jabłońska1, Marcin Miszczyk1, Marcin Goławski2, Iwona Dębosz-Suwińska3, Rafał Suwiński4
DOI: 10.5603/NJO.a2022.0010
·
Nowotwory. Journal of Oncology 2022;72(3):161-166.
Affiliations
  1. IIIrd Radiotherapy and Chemotherapy Clinic and Teaching Hospital, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland
  2. Department of Biophysics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, Poland
  3. Department of Radiotherapy, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland
  4. IInd Radiotherapy and Chemotherapy Clinic and Teaching Hospital, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland

open access

Vol 72, No 3 (2022)
Original article
Published online: 2022-02-11

Abstract

Introduction.Inflammation plays an important role in carcinogenesis, therefore morphology-based inflammatory indi­ces could be prognostic factors in lung cancer patients. This study aimed to analyze if red cell distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) are associated with patients’ prognosis in non-small cell lung cancer (NSCLC) patients.

Material and methods.The study population included 110 patients treated with definitive sequential radio-chemo­therapy for stage IIIA–IIIB NSCLC. The data were retrospectively analyzed using the receiver operating characteristic (ROC) method, Kaplan-Meier estimator, log-rank testing, and Cox proportional hazards regression model.

Results.The ROC analysis has shown that the optimal cut-off values were 14% for RDW, 2.1 for NLR, and 120 for PLR, with area under the curve (AUC) of 0.606, 0.509, and 0.564 respectively. The overall survival was significantly higher in patients with RDW ≤ 14% with a median survival of 31.2 months compared to 20.2 months for patients with RDW > 14%. RDW was an independent prognostic factor in multivariate analysis.

Conclusions.RDW can provide additional information in assessing patients’ prognosis, but it is necessary to consider its modest sensitivity and specificity. NLR and PLR were not found to be independent prognostic factors.

Abstract

Introduction.Inflammation plays an important role in carcinogenesis, therefore morphology-based inflammatory indi­ces could be prognostic factors in lung cancer patients. This study aimed to analyze if red cell distribution width (RDW), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) are associated with patients’ prognosis in non-small cell lung cancer (NSCLC) patients.

Material and methods.The study population included 110 patients treated with definitive sequential radio-chemo­therapy for stage IIIA–IIIB NSCLC. The data were retrospectively analyzed using the receiver operating characteristic (ROC) method, Kaplan-Meier estimator, log-rank testing, and Cox proportional hazards regression model.

Results.The ROC analysis has shown that the optimal cut-off values were 14% for RDW, 2.1 for NLR, and 120 for PLR, with area under the curve (AUC) of 0.606, 0.509, and 0.564 respectively. The overall survival was significantly higher in patients with RDW ≤ 14% with a median survival of 31.2 months compared to 20.2 months for patients with RDW > 14%. RDW was an independent prognostic factor in multivariate analysis.

Conclusions.RDW can provide additional information in assessing patients’ prognosis, but it is necessary to consider its modest sensitivity and specificity. NLR and PLR were not found to be independent prognostic factors.

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Keywords

lung cancer; red cell distribution width; RDW

About this article
Title

The prognostic value of RDW, NLR and PLR in sequential radio-chemotherapy for advanced lung cancer

Journal

Nowotwory. Journal of Oncology

Issue

Vol 72, No 3 (2022)

Article type

Research paper (original)

Pages

161-166

Published online

2022-02-11

Page views

196

Article views/downloads

59

DOI

10.5603/NJO.a2022.0010

Bibliographic record

Nowotwory. Journal of Oncology 2022;72(3):161-166.

Keywords

lung cancer
red cell distribution width
RDW

Authors

Iwona Jabłońska
Marcin Miszczyk
Marcin Goławski
Iwona Dębosz-Suwińska
Rafał Suwiński

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