Use of the prognostic nutrition index as a predictive biomarker in small-cell lung cancer patients undergoing immune checkpoint inhibitor treatment in the Chinese alpine region

BackgroundWhether the prognostic nutritional index (PNI), which is suggested to reflect systemic inflammation and nutritional status of patients, could be used as an effective prognostic factor for small-cell lung cancer (SCLC) has not yet been clarified. The purpose of this study was to verify the...

Full description

Bibliographic Details
Main Authors: Yunjiao Wu, Jing Yang, Xinyi Qiao, Yingjie Li, Rui Zhao, Tie Lin, Xiaoli Li, Meng Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1041140/full
_version_ 1827989948886679552
author Yunjiao Wu
Jing Yang
Xinyi Qiao
Yingjie Li
Rui Zhao
Tie Lin
Xiaoli Li
Meng Wang
author_facet Yunjiao Wu
Jing Yang
Xinyi Qiao
Yingjie Li
Rui Zhao
Tie Lin
Xiaoli Li
Meng Wang
author_sort Yunjiao Wu
collection DOAJ
description BackgroundWhether the prognostic nutritional index (PNI), which is suggested to reflect systemic inflammation and nutritional status of patients, could be used as an effective prognostic factor for small-cell lung cancer (SCLC) has not yet been clarified. The purpose of this study was to verify the prognostic value of the PNI in SCLC patients treated with programmed cell death ligand-1/programmed cell death 1 (PD-L1/PD-1) inhibitors in the alpine region of China.MethodsSCLC patients treated with PD-L1/PD-1 inhibitors monotherapy or combined with chemotherapy between March 2017 and May 2020 were included. Based on the values of serum albumin and total lymphocyte count, the study population was divided into two groups: high and low PNI. The Kaplan-Meier method was used to compute the median survival time and the log-rank test was used to compare the two groups. To evaluate the prognostic value of the PNI, univariable and multivariable analyses of progression-free survival (PFS) and overall survival (OS) were performed. The correlations between PNI and DCR or ORR were calculated by Point biserial correlation analysis.ResultsOne hundred and forty patients were included in this study, of which, 60.0% were high PNI (PNI > 49.43) and 40.0% were low PNI (PNI ≤ 49.43). Results indicated that the high PNI group had better PFS and OS than the low PNI group in the patients who received PD-L1/PD-1 inhibitors monotherapy (median PFS: 11.0 vs. 4.8 months, p < 0.001 and median OS: 18.5 vs. 11.0 months, p = 0.004). Similarly, better PFS and OS were associated with an increase in PNI level in the patients who accepted PD-L1/PD-1 inhibitors combined with chemotherapy (median PFS: 11.0 vs. 5.3 months, p < 0.001 and median OS: 17.9 vs. 12.6 months, p = 0.005). Multivariate Cox-regression model showed that high PNI was significantly related to better PFS and OS in patients who accepted PD-L1/PD-1 inhibitors monotherapy or combined with chemotherapy (PD-L1/PD-1 inhibitors monotherapy: PFS: HR = 0.23, 95% CI: 0.10–0.52, p < 0.001 and OS: HR = 0.13, 95% CI: 0.03–0.55, p = 0.006; PD-L1/PD-1 inhibitors combined with chemotherapy: PFS: HR = 0.34, 95% CI: 0.19–0.61, p < 0.001 and OS: HR = 0.53, 95% CI: 0.29–0.97, p = 0.040, respectively). Additionally, Point biserial correlation analysis between PNI and disease control rate (DCR) showed that PNI status was positively correlated with DCR in SCLC patients receiving PD-L1/PD-1 inhibitors or combined with chemotherapy (r = 0.351, p < 0.001; r = 0.285, p < 0.001, respectively).ConcussionsPNI may be a promising biomarker of treatment efficacy and prognosis in SCLC patients treated with PD-L1/PD-1 inhibitors in the alpine region of China.
first_indexed 2024-04-10T00:28:20Z
format Article
id doaj.art-07a175d9b25f4d62b3025dda562177db
institution Directory Open Access Journal
issn 2234-943X
language English
last_indexed 2024-04-10T00:28:20Z
publishDate 2023-03-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Oncology
spelling doaj.art-07a175d9b25f4d62b3025dda562177db2023-03-15T04:37:54ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-03-011310.3389/fonc.2023.10411401041140Use of the prognostic nutrition index as a predictive biomarker in small-cell lung cancer patients undergoing immune checkpoint inhibitor treatment in the Chinese alpine regionYunjiao Wu0Jing Yang1Xinyi Qiao2Yingjie Li3Rui Zhao4Tie Lin5Xiaoli Li6Meng Wang7Department of Respiratory Medical Oncology, Harbin Medical University Cancer Hospital, Heilongjiang, Harbin, ChinaChongqing Engineering Research Center for Processing and Storage of Distinct Agricultural Products, Chongqing Technology and Business University, Chongqing, ChinaDepartment of Respiratory Medical Oncology, Harbin Medical University Cancer Hospital, Heilongjiang, Harbin, ChinaDepartment of Respiratory Medical Oncology, Harbin Medical University Cancer Hospital, Heilongjiang, Harbin, ChinaDepartment of Respiratory Medical Oncology, Harbin Medical University Cancer Hospital, Heilongjiang, Harbin, ChinaDepartment of Surgery, The First Affiliated Hospital of Harbin Medical University, Heilongjiang, Harbin, ChinaDepartment of Respiratory Medical Oncology, Harbin Medical University Cancer Hospital, Heilongjiang, Harbin, ChinaDepartment of Respiratory Medical Oncology, Harbin Medical University Cancer Hospital, Heilongjiang, Harbin, ChinaBackgroundWhether the prognostic nutritional index (PNI), which is suggested to reflect systemic inflammation and nutritional status of patients, could be used as an effective prognostic factor for small-cell lung cancer (SCLC) has not yet been clarified. The purpose of this study was to verify the prognostic value of the PNI in SCLC patients treated with programmed cell death ligand-1/programmed cell death 1 (PD-L1/PD-1) inhibitors in the alpine region of China.MethodsSCLC patients treated with PD-L1/PD-1 inhibitors monotherapy or combined with chemotherapy between March 2017 and May 2020 were included. Based on the values of serum albumin and total lymphocyte count, the study population was divided into two groups: high and low PNI. The Kaplan-Meier method was used to compute the median survival time and the log-rank test was used to compare the two groups. To evaluate the prognostic value of the PNI, univariable and multivariable analyses of progression-free survival (PFS) and overall survival (OS) were performed. The correlations between PNI and DCR or ORR were calculated by Point biserial correlation analysis.ResultsOne hundred and forty patients were included in this study, of which, 60.0% were high PNI (PNI > 49.43) and 40.0% were low PNI (PNI ≤ 49.43). Results indicated that the high PNI group had better PFS and OS than the low PNI group in the patients who received PD-L1/PD-1 inhibitors monotherapy (median PFS: 11.0 vs. 4.8 months, p < 0.001 and median OS: 18.5 vs. 11.0 months, p = 0.004). Similarly, better PFS and OS were associated with an increase in PNI level in the patients who accepted PD-L1/PD-1 inhibitors combined with chemotherapy (median PFS: 11.0 vs. 5.3 months, p < 0.001 and median OS: 17.9 vs. 12.6 months, p = 0.005). Multivariate Cox-regression model showed that high PNI was significantly related to better PFS and OS in patients who accepted PD-L1/PD-1 inhibitors monotherapy or combined with chemotherapy (PD-L1/PD-1 inhibitors monotherapy: PFS: HR = 0.23, 95% CI: 0.10–0.52, p < 0.001 and OS: HR = 0.13, 95% CI: 0.03–0.55, p = 0.006; PD-L1/PD-1 inhibitors combined with chemotherapy: PFS: HR = 0.34, 95% CI: 0.19–0.61, p < 0.001 and OS: HR = 0.53, 95% CI: 0.29–0.97, p = 0.040, respectively). Additionally, Point biserial correlation analysis between PNI and disease control rate (DCR) showed that PNI status was positively correlated with DCR in SCLC patients receiving PD-L1/PD-1 inhibitors or combined with chemotherapy (r = 0.351, p < 0.001; r = 0.285, p < 0.001, respectively).ConcussionsPNI may be a promising biomarker of treatment efficacy and prognosis in SCLC patients treated with PD-L1/PD-1 inhibitors in the alpine region of China.https://www.frontiersin.org/articles/10.3389/fonc.2023.1041140/fullprognostic nutritional index (PNI)small cell lung cancer (SCLC)PD-L1/PD-1 inhibitorsimmune-related adverse events (irAEs)prognostic factor
spellingShingle Yunjiao Wu
Jing Yang
Xinyi Qiao
Yingjie Li
Rui Zhao
Tie Lin
Xiaoli Li
Meng Wang
Use of the prognostic nutrition index as a predictive biomarker in small-cell lung cancer patients undergoing immune checkpoint inhibitor treatment in the Chinese alpine region
Frontiers in Oncology
prognostic nutritional index (PNI)
small cell lung cancer (SCLC)
PD-L1/PD-1 inhibitors
immune-related adverse events (irAEs)
prognostic factor
title Use of the prognostic nutrition index as a predictive biomarker in small-cell lung cancer patients undergoing immune checkpoint inhibitor treatment in the Chinese alpine region
title_full Use of the prognostic nutrition index as a predictive biomarker in small-cell lung cancer patients undergoing immune checkpoint inhibitor treatment in the Chinese alpine region
title_fullStr Use of the prognostic nutrition index as a predictive biomarker in small-cell lung cancer patients undergoing immune checkpoint inhibitor treatment in the Chinese alpine region
title_full_unstemmed Use of the prognostic nutrition index as a predictive biomarker in small-cell lung cancer patients undergoing immune checkpoint inhibitor treatment in the Chinese alpine region
title_short Use of the prognostic nutrition index as a predictive biomarker in small-cell lung cancer patients undergoing immune checkpoint inhibitor treatment in the Chinese alpine region
title_sort use of the prognostic nutrition index as a predictive biomarker in small cell lung cancer patients undergoing immune checkpoint inhibitor treatment in the chinese alpine region
topic prognostic nutritional index (PNI)
small cell lung cancer (SCLC)
PD-L1/PD-1 inhibitors
immune-related adverse events (irAEs)
prognostic factor
url https://www.frontiersin.org/articles/10.3389/fonc.2023.1041140/full
work_keys_str_mv AT yunjiaowu useoftheprognosticnutritionindexasapredictivebiomarkerinsmallcelllungcancerpatientsundergoingimmunecheckpointinhibitortreatmentinthechinesealpineregion
AT jingyang useoftheprognosticnutritionindexasapredictivebiomarkerinsmallcelllungcancerpatientsundergoingimmunecheckpointinhibitortreatmentinthechinesealpineregion
AT xinyiqiao useoftheprognosticnutritionindexasapredictivebiomarkerinsmallcelllungcancerpatientsundergoingimmunecheckpointinhibitortreatmentinthechinesealpineregion
AT yingjieli useoftheprognosticnutritionindexasapredictivebiomarkerinsmallcelllungcancerpatientsundergoingimmunecheckpointinhibitortreatmentinthechinesealpineregion
AT ruizhao useoftheprognosticnutritionindexasapredictivebiomarkerinsmallcelllungcancerpatientsundergoingimmunecheckpointinhibitortreatmentinthechinesealpineregion
AT tielin useoftheprognosticnutritionindexasapredictivebiomarkerinsmallcelllungcancerpatientsundergoingimmunecheckpointinhibitortreatmentinthechinesealpineregion
AT xiaolili useoftheprognosticnutritionindexasapredictivebiomarkerinsmallcelllungcancerpatientsundergoingimmunecheckpointinhibitortreatmentinthechinesealpineregion
AT mengwang useoftheprognosticnutritionindexasapredictivebiomarkerinsmallcelllungcancerpatientsundergoingimmunecheckpointinhibitortreatmentinthechinesealpineregion