Comprehensive Evaluation of Inflammatory Biomarkers in Cervical Cancer Treated with Chemoradiotherapy
<b>Objective</b>: Inflammatory biomarkers have been shown to possess both prognostic and predictive significance in various cancers. Among the emerging biomarkers, the pan-immune-inflammation value (PIV) has recently been introduced as a novel indicator representing both the immune respo...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Current Oncology |
Subjects: | |
Online Access: | https://www.mdpi.com/1718-7729/32/1/39 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832588737948680192 |
---|---|
author | Timur Koca Nurcihan Gocen Vardar Rahmi Atıl Aksoy Aylin Fidan Korcum |
author_facet | Timur Koca Nurcihan Gocen Vardar Rahmi Atıl Aksoy Aylin Fidan Korcum |
author_sort | Timur Koca |
collection | DOAJ |
description | <b>Objective</b>: Inflammatory biomarkers have been shown to possess both prognostic and predictive significance in various cancers. Among the emerging biomarkers, the pan-immune-inflammation value (PIV) has recently been introduced as a novel indicator representing both the immune response and the systemic inflammatory state. This study aims to comprehensively evaluate the predictive value of inflammatory biomarkers on survival outcomes in cervical cancer patients undergoing chemoradiotherapy. <b>Methods</b>: A total of 90 patients who had undergone chemoradiotherapy for cervical cancer were included. Data on demographics, treatment protocols, pre-treatment blood parameters, and survival outcomes were collected. The association between inflammatory biomarkers and survival outcomes was investigated through univariate and multivariate analyses. <b>Results:</b> The univariate analysis identified the following as predictors of progression-free survival (PFS): neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), monocyte–lymphocyte ratio (MLR), systemic immune-inflammation index (SII), PIV, C-reactive protein (CRP), albumin, and tumor size. Multivariate analysis revealed that only the PIV significantly predicted PFS (HR 3.05, 95% CI 1.0 to 9.3, <i>p</i> = 0.04). In the univariate analysis, several variables were predictive of overall survival (OS), including NLR, PLR, MLR, SII, PIV, CRP, LDH, albumin, tumor size, and Eastern Cooperative Oncology Group Performance Status (ECOG PS). Multivariate analysis revealed CRP (HR 3.41, 95% CI 1.5 to 7.7, <i>p</i> = 0.003) and ECOG PS (HR 4.78, 95% CI 1.3 to 17.3, <i>p</i> = 0.01) predictive of OS, with PIV approaching statistical significance (HR 2.56, 95% CI 0.8 to 7.6, <i>p</i> = 0.09). <b>Conclusions</b>: This study provides the first comprehensive analysis of the association between cervical cancer and various inflammatory biomarkers. Many of these biomarkers have demonstrated predictive value for survival outcomes in patients with cervical cancer undergoing definitive chemoradiotherapy. Among the biomarkers evaluated, CRP and PIV were identified as the most predictive, warranting further exploration in future research. |
format | Article |
id | doaj-art-f6f1277755ab47b892a974ec980ef9cd |
institution | Kabale University |
issn | 1198-0052 1718-7729 |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Current Oncology |
spelling | doaj-art-f6f1277755ab47b892a974ec980ef9cd2025-01-24T13:28:27ZengMDPI AGCurrent Oncology1198-00521718-77292025-01-013213910.3390/curroncol32010039Comprehensive Evaluation of Inflammatory Biomarkers in Cervical Cancer Treated with ChemoradiotherapyTimur Koca0Nurcihan Gocen Vardar1Rahmi Atıl Aksoy2Aylin Fidan Korcum3Department of Radiation Oncology, Akdeniz University, 07070 Antalya, TurkeyDepartment of Radiation Oncology, Akdeniz University, 07070 Antalya, TurkeyDepartment of Radiation Oncology, Izmir City Hospital, 35540 Izmir, TurkeyDepartment of Radiation Oncology, Akdeniz University, 07070 Antalya, Turkey<b>Objective</b>: Inflammatory biomarkers have been shown to possess both prognostic and predictive significance in various cancers. Among the emerging biomarkers, the pan-immune-inflammation value (PIV) has recently been introduced as a novel indicator representing both the immune response and the systemic inflammatory state. This study aims to comprehensively evaluate the predictive value of inflammatory biomarkers on survival outcomes in cervical cancer patients undergoing chemoradiotherapy. <b>Methods</b>: A total of 90 patients who had undergone chemoradiotherapy for cervical cancer were included. Data on demographics, treatment protocols, pre-treatment blood parameters, and survival outcomes were collected. The association between inflammatory biomarkers and survival outcomes was investigated through univariate and multivariate analyses. <b>Results:</b> The univariate analysis identified the following as predictors of progression-free survival (PFS): neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), monocyte–lymphocyte ratio (MLR), systemic immune-inflammation index (SII), PIV, C-reactive protein (CRP), albumin, and tumor size. Multivariate analysis revealed that only the PIV significantly predicted PFS (HR 3.05, 95% CI 1.0 to 9.3, <i>p</i> = 0.04). In the univariate analysis, several variables were predictive of overall survival (OS), including NLR, PLR, MLR, SII, PIV, CRP, LDH, albumin, tumor size, and Eastern Cooperative Oncology Group Performance Status (ECOG PS). Multivariate analysis revealed CRP (HR 3.41, 95% CI 1.5 to 7.7, <i>p</i> = 0.003) and ECOG PS (HR 4.78, 95% CI 1.3 to 17.3, <i>p</i> = 0.01) predictive of OS, with PIV approaching statistical significance (HR 2.56, 95% CI 0.8 to 7.6, <i>p</i> = 0.09). <b>Conclusions</b>: This study provides the first comprehensive analysis of the association between cervical cancer and various inflammatory biomarkers. Many of these biomarkers have demonstrated predictive value for survival outcomes in patients with cervical cancer undergoing definitive chemoradiotherapy. Among the biomarkers evaluated, CRP and PIV were identified as the most predictive, warranting further exploration in future research.https://www.mdpi.com/1718-7729/32/1/39cervical cancerinflammationbiomarkerschemotherapyradiotherapysurvival |
spellingShingle | Timur Koca Nurcihan Gocen Vardar Rahmi Atıl Aksoy Aylin Fidan Korcum Comprehensive Evaluation of Inflammatory Biomarkers in Cervical Cancer Treated with Chemoradiotherapy Current Oncology cervical cancer inflammation biomarkers chemotherapy radiotherapy survival |
title | Comprehensive Evaluation of Inflammatory Biomarkers in Cervical Cancer Treated with Chemoradiotherapy |
title_full | Comprehensive Evaluation of Inflammatory Biomarkers in Cervical Cancer Treated with Chemoradiotherapy |
title_fullStr | Comprehensive Evaluation of Inflammatory Biomarkers in Cervical Cancer Treated with Chemoradiotherapy |
title_full_unstemmed | Comprehensive Evaluation of Inflammatory Biomarkers in Cervical Cancer Treated with Chemoradiotherapy |
title_short | Comprehensive Evaluation of Inflammatory Biomarkers in Cervical Cancer Treated with Chemoradiotherapy |
title_sort | comprehensive evaluation of inflammatory biomarkers in cervical cancer treated with chemoradiotherapy |
topic | cervical cancer inflammation biomarkers chemotherapy radiotherapy survival |
url | https://www.mdpi.com/1718-7729/32/1/39 |
work_keys_str_mv | AT timurkoca comprehensiveevaluationofinflammatorybiomarkersincervicalcancertreatedwithchemoradiotherapy AT nurcihangocenvardar comprehensiveevaluationofinflammatorybiomarkersincervicalcancertreatedwithchemoradiotherapy AT rahmiatılaksoy comprehensiveevaluationofinflammatorybiomarkersincervicalcancertreatedwithchemoradiotherapy AT aylinfidankorcum comprehensiveevaluationofinflammatorybiomarkersincervicalcancertreatedwithchemoradiotherapy |