High pre-chemoradiotherapy pan-immune-inflammation value levels predict worse outcomes in patients with stage IIIB/C non-small-cell lung cancer

Abstract Background and objectives We explored the prognostic usefulness of the pan-immune-inflammation value (PIV) in patients with stage IIIB/C non-small-cell lung cancer (NSCLC) who underwent concurrent chemoradiotherapy (CCRT). Methods and patients For all patients, the PIV was calculated using...

Full description

Bibliographic Details
Main Authors: Erkan Topkan, Ahmet Kucuk, Emine Elif Ozkan, Duriye Ozturk, Ali Ayberk Besen, Huseyin Mertsoylu, Berrin Pehlivan, Ugur Selek
Format: Article
Language:English
Published: Springer 2023-12-01
Series:Discover Oncology
Subjects:
Online Access:https://doi.org/10.1007/s12672-023-00851-8
_version_ 1797388266707615744
author Erkan Topkan
Ahmet Kucuk
Emine Elif Ozkan
Duriye Ozturk
Ali Ayberk Besen
Huseyin Mertsoylu
Berrin Pehlivan
Ugur Selek
author_facet Erkan Topkan
Ahmet Kucuk
Emine Elif Ozkan
Duriye Ozturk
Ali Ayberk Besen
Huseyin Mertsoylu
Berrin Pehlivan
Ugur Selek
author_sort Erkan Topkan
collection DOAJ
description Abstract Background and objectives We explored the prognostic usefulness of the pan-immune-inflammation value (PIV) in patients with stage IIIB/C non-small-cell lung cancer (NSCLC) who underwent concurrent chemoradiotherapy (CCRT). Methods and patients For all patients, the PIV was calculated using platelet (P), monocyte (M), neutrophil (N), and lymphocyte (L) measures obtained on the first day of CCRT: PIV = P × M × N ÷ L. Using receiver operating characteristic (ROC) curve analysis, we searched for the existence of an ideal cutoff that may partition patients into two groups with unique progression-free- (PFS) and overall survival (OS) results. The primary endpoint of this retrospective cohort research was to determine whether there were any significant relationships between pretreatment PIV measures and post-CCRT OS outcomes. Results The present research included a total of 807 stage IIIB/C NSCLC patients. According to ROC curve analysis, the ideal PIV cutoff was 516 [area under the curve (AUC): 67.7%; sensitivity: 66.4%; specificity: 66.1%], which divided the whole cohort into two: low PIV (L-PIV: PIV < 516; N = 436) and high PIV (H-PIV: PIV ≥ 516; N = 371). The comparisons between the PIV groups indicated that either the median PFS (9.2 vs. 13.4 months; P < 0.001) or OS (16.7 vs. 32.7 months; P < 0.001) durations in the H-PIV group were substantially inferior to their L-PIV counterpart. Apart from the H-PIV (P < 0.001), the N3 nodal stage (P = 0.006), IIIC disease stage (P < 0.001), and receiving only one cycle of concurrent chemotherapy (P = 0.005) were also determined to be significant predictors of poor PFS (P < 0.05, for each) and OS (P < 0.05, for each) outcomes in univariate analysis. The multivariate analysis findings revealed that all four variables had independent negative impacts on PFS (P < 0.05, for each) and OS (P < 0.05, for each). Conclusions The findings of this hypothesis-generating retrospective analysis claimed that the novel PIV was an independent and steadfast predictor of PFS and OS in stage IIIB/C NSCLC patients.
first_indexed 2024-03-08T22:37:19Z
format Article
id doaj.art-630d2705d8d24ccb9ddafca6f63a85f8
institution Directory Open Access Journal
issn 2730-6011
language English
last_indexed 2024-03-08T22:37:19Z
publishDate 2023-12-01
publisher Springer
record_format Article
series Discover Oncology
spelling doaj.art-630d2705d8d24ccb9ddafca6f63a85f82023-12-17T12:21:32ZengSpringerDiscover Oncology2730-60112023-12-0114111110.1007/s12672-023-00851-8High pre-chemoradiotherapy pan-immune-inflammation value levels predict worse outcomes in patients with stage IIIB/C non-small-cell lung cancerErkan Topkan0Ahmet Kucuk1Emine Elif Ozkan2Duriye Ozturk3Ali Ayberk Besen4Huseyin Mertsoylu5Berrin Pehlivan6Ugur Selek7Department of Radiation Oncology, Baskent University Medical FacultyClinic of Radiation Oncology, Mersin Education and Research HospitalDepartment of Radiation Oncology, Suleyman Demirel UniversityDepartment of Radiation Oncology, Faculty of Medicine, Afyonkarahisar Health Sciences UniversityDepartment of Medical Oncology, Medical Park HospitalDepartment of Medical Oncology, Istinye UniversityDepartment of Radiation Oncology, Bahcesehir UniversityDepartment of Radiation Oncology, Koc University School of MedicineAbstract Background and objectives We explored the prognostic usefulness of the pan-immune-inflammation value (PIV) in patients with stage IIIB/C non-small-cell lung cancer (NSCLC) who underwent concurrent chemoradiotherapy (CCRT). Methods and patients For all patients, the PIV was calculated using platelet (P), monocyte (M), neutrophil (N), and lymphocyte (L) measures obtained on the first day of CCRT: PIV = P × M × N ÷ L. Using receiver operating characteristic (ROC) curve analysis, we searched for the existence of an ideal cutoff that may partition patients into two groups with unique progression-free- (PFS) and overall survival (OS) results. The primary endpoint of this retrospective cohort research was to determine whether there were any significant relationships between pretreatment PIV measures and post-CCRT OS outcomes. Results The present research included a total of 807 stage IIIB/C NSCLC patients. According to ROC curve analysis, the ideal PIV cutoff was 516 [area under the curve (AUC): 67.7%; sensitivity: 66.4%; specificity: 66.1%], which divided the whole cohort into two: low PIV (L-PIV: PIV < 516; N = 436) and high PIV (H-PIV: PIV ≥ 516; N = 371). The comparisons between the PIV groups indicated that either the median PFS (9.2 vs. 13.4 months; P < 0.001) or OS (16.7 vs. 32.7 months; P < 0.001) durations in the H-PIV group were substantially inferior to their L-PIV counterpart. Apart from the H-PIV (P < 0.001), the N3 nodal stage (P = 0.006), IIIC disease stage (P < 0.001), and receiving only one cycle of concurrent chemotherapy (P = 0.005) were also determined to be significant predictors of poor PFS (P < 0.05, for each) and OS (P < 0.05, for each) outcomes in univariate analysis. The multivariate analysis findings revealed that all four variables had independent negative impacts on PFS (P < 0.05, for each) and OS (P < 0.05, for each). Conclusions The findings of this hypothesis-generating retrospective analysis claimed that the novel PIV was an independent and steadfast predictor of PFS and OS in stage IIIB/C NSCLC patients.https://doi.org/10.1007/s12672-023-00851-8Non-small-cell lung cancerInflammationBiological markerPan-immune-inflammation valuePrognosis survival
spellingShingle Erkan Topkan
Ahmet Kucuk
Emine Elif Ozkan
Duriye Ozturk
Ali Ayberk Besen
Huseyin Mertsoylu
Berrin Pehlivan
Ugur Selek
High pre-chemoradiotherapy pan-immune-inflammation value levels predict worse outcomes in patients with stage IIIB/C non-small-cell lung cancer
Discover Oncology
Non-small-cell lung cancer
Inflammation
Biological marker
Pan-immune-inflammation value
Prognosis survival
title High pre-chemoradiotherapy pan-immune-inflammation value levels predict worse outcomes in patients with stage IIIB/C non-small-cell lung cancer
title_full High pre-chemoradiotherapy pan-immune-inflammation value levels predict worse outcomes in patients with stage IIIB/C non-small-cell lung cancer
title_fullStr High pre-chemoradiotherapy pan-immune-inflammation value levels predict worse outcomes in patients with stage IIIB/C non-small-cell lung cancer
title_full_unstemmed High pre-chemoradiotherapy pan-immune-inflammation value levels predict worse outcomes in patients with stage IIIB/C non-small-cell lung cancer
title_short High pre-chemoradiotherapy pan-immune-inflammation value levels predict worse outcomes in patients with stage IIIB/C non-small-cell lung cancer
title_sort high pre chemoradiotherapy pan immune inflammation value levels predict worse outcomes in patients with stage iiib c non small cell lung cancer
topic Non-small-cell lung cancer
Inflammation
Biological marker
Pan-immune-inflammation value
Prognosis survival
url https://doi.org/10.1007/s12672-023-00851-8
work_keys_str_mv AT erkantopkan highprechemoradiotherapypanimmuneinflammationvaluelevelspredictworseoutcomesinpatientswithstageiiibcnonsmallcelllungcancer
AT ahmetkucuk highprechemoradiotherapypanimmuneinflammationvaluelevelspredictworseoutcomesinpatientswithstageiiibcnonsmallcelllungcancer
AT emineelifozkan highprechemoradiotherapypanimmuneinflammationvaluelevelspredictworseoutcomesinpatientswithstageiiibcnonsmallcelllungcancer
AT duriyeozturk highprechemoradiotherapypanimmuneinflammationvaluelevelspredictworseoutcomesinpatientswithstageiiibcnonsmallcelllungcancer
AT aliayberkbesen highprechemoradiotherapypanimmuneinflammationvaluelevelspredictworseoutcomesinpatientswithstageiiibcnonsmallcelllungcancer
AT huseyinmertsoylu highprechemoradiotherapypanimmuneinflammationvaluelevelspredictworseoutcomesinpatientswithstageiiibcnonsmallcelllungcancer
AT berrinpehlivan highprechemoradiotherapypanimmuneinflammationvaluelevelspredictworseoutcomesinpatientswithstageiiibcnonsmallcelllungcancer
AT ugurselek highprechemoradiotherapypanimmuneinflammationvaluelevelspredictworseoutcomesinpatientswithstageiiibcnonsmallcelllungcancer