Dataset Information

Glasgow Prognostic Score predicts chemotherapy-triggered acute exacerbation-interstitial lung disease in patients with non-small cell lung cancer.

ABSTRACT:

Background

Interstitial lung disease (ILD) in patients with non-small cell lung cancer (NSCLC) worsens the prognosis for overall survival (OS) due to chemotherapy-triggered acute exacerbation (AE)-ILD. The Glasgow Prognostic Score (GPS), which is based on serum C-reactive protein and albumin levels, has been suggested as a reliable prognostic tool for mortality in cancer patients, including NSCLC. In this study, we investigated whether GPS is a predictor for chemotherapy-triggered AE-ILD and the prognosis in patients with NSCLC and pre-existing ILD.

Methods

We conducted a retrospective review on 56 NSCLC and ILD patients at our hospital who received platinum agent-based treatment as first-line chemotherapy between June 2010 and May 2019. We categorized these patients according to their GPS (0-2) and compared the incidence of chemotherapy-triggered AE-ILD and OS.

Results

The GPS 0, 1, and 2 groups included 31, 16, and nine patients, respectively, out of 56. A total of 12 (21.4%) patients showed chemotherapy-triggered AE-ILD. The median OS was at 11.5 months (95% confidence interval: 8.0-15.1). The incidence of chemotherapy-triggered AE-ILD within the first year of chemotherapy in the GPS 0, 1, and 2 groups was three (9.6%), four (25.0%), and five (55.5%), and the median OS time was 16.9, 9.8 and 7.6 months, respectively. Univariate and multivariate analyses indicated that only GPS 2 could predict both chemotherapy-triggered AE-ILD and OS (P?ConclusionsGPS assessment of patients with NSCLC and pre-existing ILD is a valuable prognostic tool for predicting chemotherapy-triggered AE-ILD and OS.

Key points

SIGNIFICANT FINDINGS OF THE STUDY: We found that GPS 2 was an independent risk factor for chemotherapy-triggered AE-ILD and prognosis in patients with ILD associated with NSCLC.

What this study adds

GPS may potentially enable the discrimination of patients tolerant of chemotherapy from those at an increased risk of AE-ILD and predict the prognosis in patients with NSCLC and ILD receiving chemotherapy.

SUBMITTER: Kikuchi R

PROVIDER: S-EPMC7919129 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Glasgow Prognostic Score predicts chemotherapy-triggered acute exacerbation-interstitial lung disease in patients with non-small cell lung cancer.

Kikuchi Ryota R Takoi Hiroyuki H Tsuji Takao T Nagatomo Yoko Y Tanaka Akane A Kinoshita Hayato H Ono Mariko M Ishiwari Mayuko M Toriyama Kazutoshi K Kono Yuta Y Togashi Yuki Y Yamaguchi Kazuhiro K Yoshimura Akinobu A Abe Shinji S

Thoracic cancer 20210121 5

<h4>Background</h4>Interstitial lung disease (ILD) in patients with non-small cell lung cancer (NSCLC) worsens the prognosis for overall survival (OS) due to chemotherapy-triggered acute exacerbation (AE)-ILD. The Glasgow Prognostic Score (GPS), which is based on serum C-reactive protein and albumin levels, has been suggested as a reliable prognostic tool for mortality in cancer patients, including NSCLC. In this study, we investigated whether GPS is a predictor for chemotherapy-triggered AE-ILD ...[more]

PMID: 33480111

Similar Datasets

Project description:BackgroundLung cancer is the leading cause of cancer-related deaths. Although epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are effective for advanced non-small cell lung cancer (NSCLC) harboring EGFR mutations, some patients experience little or no response. The Glasgow prognostic score (GPS) is an inflammation-related score based on C-reactive protein (CRP) and albumin concentrations, and has prognostic value in various cancer settings. This study aimed to evaluate whether GPS could predict response of NSCLC to EGFR-TKIs.MethodsThis retrospective multicenter study evaluated patients with NSCLC harboring EGFR mutations who received EGFR-TKI monotherapy from October 2006 to December 2016. GPS values were determined using CRP and albumin concentrations from before initiation of EGFR-TKIs. The Kaplan-Meier method and Cox proportional hazard models were used to evaluate progression-free survival (PFS) and overall survival (OS).ResultsIn 214 patients, 141, 43, and two patients had GPS values of 0, 1, and 2, respectively. The GPS independently predicted the efficacy of EGFR-TKIs; good GPS (0-1) conferred significantly better PFS (hazard ratio [HR]: 0.59, 95% confidence interval [CI]: 0.38-0.96, P = 0.03) and OS (HR: 0.56, 95% CI: 0.33-0.96, P = 0.03). Multivariate analysis confirmed that a good GPS (0-1) independently predicted good PFS and OS among patients who had PS of 0-1. Good GPS (0-1) independently predicted good OS among patients receiving treatment in first-line settings.ConclusionsThe GPS independently predicted the efficacy of EGFR-TKIs for EGFR-mutated NSCLC; however, further studies are needed to validate our findings.Key pointsSIGNIFICANT FINDINGS OF THE STUDY: Glasgow prognostic score (GPS) independently predicted the efficacy of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) treatment for EGFR-mutated NSCLC.What this study addsThe findings presented in this paper will help to identify patients who will be expected to experience limited or no response to EGFR-TKI treatment by using GPS.

Project description:BackgroundThere are no established predictive biomarkers for the effectiveness of first-line atezolizumab plus carboplatin and etoposide therapy in patients with small-cell lung cancer (SCLC). Therefore, the current study aimed to investigate whether the Glasgow prognostic score (GPS), neutrophil-to-lymphocyte ratio (NLR), and body mass index (BMI) can predict the effectiveness of first-line atezolizumab plus carboplatin and etoposide therapy in patients with extensive-disease SCLC.MethodsWe reviewed data from 84 patients who received first-line atezolizumab plus carboplatin and etoposide therapy for SCLC at nine Japanese institutions between August 2019 and May 2021. Further, we evaluated the prognostic value of the GPS, NLR, and BMI. The Kaplan-Meier and Cox proportional hazard models were used to examine differences in progression-free survival (PFS) and overall survival (OS). Moreover, the GPS, NLR, and BMI consisted of C-reactive protein and albumin concentrations, neutrophil and lymphocyte counts, and body weight and height, respectively.ResultsThe response rate was 72.6% (95% confidence interval: 63.0-82.1%). The median PFS and OS from the initiation of treatment were 5.4 (95% CI: 4.9-5.9) months and 15.4 (95% CI: 11.4-16.8) months, respectively. The GPS independently predicted the effectiveness of first-line atezolizumab plus carboplatin and etoposide treatment, as a favorable GPS (GPS 0-1) was correlated with significantly better PFS and OS rates compared to a poor GPS (GPS 2) (PFS: 5.8 vs. 3.8 months, p = 0.0005; OS: 16.5 vs. 8.4 months, p<0.0001).ConclusionsThis is the first analysis to evaluate the association between the GPS, NLR, and BMI and the treatment effectiveness of survival among patients receiving first-line atezolizumab plus carboplatin and etoposide therapy for SCLC. Among patients receiving this treatment for SCLC, GPS was significantly associated with the PFS and OS rates, suggesting that GPS might be useful for evaluating therapeutic outcomes in these patients.

Project description:BackgroundThere are no established biomarkers for predicting the efficacy of first-line pembrolizumab monotherapy in patients with high programmed death-ligand 1 (PD-L1) expression. In this study, we investigated whether the Glasgow prognostic score (GPS), neutrophil-to-lymphocyte ratio (NLR), and body mass index (BMI) can be used to evaluate the effect of first-line pembrolizumab monotherapy in patients with advanced non-small cell lung cancer (NSCLC) who express high levels of PD-L1.MethodsWe reviewed data from 142 patients with high PD-L1 expression who underwent first-line pembrolizumab monotherapy for NSCLC at six Japanese institutions between February 2017 and June 2019 and assessed the prognostic value of the GPS, NLR, and BMI. The Kaplan-Meier method and Cox proportional hazard models were used to examine differences in progression-free survival (PFS) and overall survival (OS). The GPS, NLR, and BMI were calculated using C-reactive protein and albumin concentrations, neutrophil and lymphocyte counts, and body weight and height, respectively.ResultsThe GPS independently predicted the first-line pembrolizumab monotherapy efficacy, as a good GPS (GPS 0-1) was associated with a significantly better PFS and OS compared to a poor GPS (GPS 2) (PFS: 11.8 vs. 2.9 months, p < 0.0001; OS: not reached vs. 8.3 months, p < 0.0001). Furthermore, BMI independently predicted efficacy, as patients with high BMI (BMI ≥21.4) exhibited significantly better OS compared to those with low BMI (BMI <21.4) (OS: not reached vs. 14.1 months, p = 0.006).ConclusionsAmong patients with high PD-L1 expression undergoing first-line pembrolizumab monotherapy for NSCLC, the GPS is significantly correlated with both PFS and OS, and BMI with OS, indicating that they could be used to predict treatment outcome in these patients. To the best of our knowledge, this is the first study to assess the relationship among the GPS, NLR, and BMI and survival among patients with high PD-L1 expression undergoing first-line pembrolizumab monotherapy for NSCLC.

Dataset Information

Glasgow Prognostic Score predicts chemotherapy-triggered acute exacerbation-interstitial lung disease in patients with non-small cell lung cancer.

Background

Methods

Results

Key points

What this study adds

Publications

Glasgow Prognostic Score predicts chemotherapy-triggered acute exacerbation-interstitial lung disease in patients with non-small cell lung cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets