Prognostic significance of the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI) and panimmune-inflammation value (PIV) in head and neck squamous cell carcinoma (HNSCC): A retr

ObjectiveInflammatory markers, such as the neutrophil-to-lymphocyte Ratio (NLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and panimmune-inflammatory value (PIV), have previously been identified as prognostic factors in head and neck cancer (HNC). Notably, time-dependent receiver operating characteristic (ROC) curves have rarely been used to assess the prognostic role of inflammatory markers in head and neck cancer. This study aimed to evaluate the significance of the NLR, SII, SIRI, and PIV in this context.MethodsThis retrospective cohort study was conducted at Far Eastern Memorial Hospital, a tertiary medical center between July 2022 and January 2025, and 153 patients with HNC were enrolled in this study. Inflammatory markers were compared by tumor status, nodal involvement, and stage. Time-dependent ROC analysis was used to determine the area under the curve (AUC) and optimal cutoff values for overall survival (OS) and disease-specific survival (DSS) with Cox regression.ResultsThe NLR, SII, SIRI, and PIV were significantly associated with tumor status and stage (p < 0.05). The optimal cutoff values were 2.9, 630, 1.6, and 400, with corresponding time-dependent AUCs of 0.73, 0.71, 0.64, and 0.62, with corresponding sensitivities of 81.7%, 81.2%, 55.9%, and 60.8%, and specificities of 64.1%, 54.9%, 68.5%, and 60.4%., respectively. Higher NLR, SII, SIRI, and PIV values were associated with poor OS and DSS.ConclusionsThe NLR, SII, SIRI, and PIV are associated with tumor status and poor survival outcomes (OS and DSS) and may provide additional stratification and risk-based management in patients with HNC.

Authors

Institutions

Publication Details

Journal
Science Progress
Published
2025-10-01
DOI
https://doi.org/10.1177/00368504251408872
Citations
3
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
3.14
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic significance of the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI) and panimmune-inflammation value (PIV) in head and neck squamous cell carcinoma (HNSCC): A retr

Ping‐Chia Cheng, Wu‐Chia Lo, Po‐Hsuan Wu, Yu-Hsin Lin et al.
3 citations
Science Progress
Inflammatory Biomarkers in Disease Prognosis
3.14
article

Prognostic significance of the neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI) and panimmune-inflammation value (PIV) in head and neck squamous cell carcinoma (HNSCC): A retr

Ping‐Chia Cheng, Wu‐Chia Lo, Po‐Hsuan Wu, Yu-Hsin Lin, Ming‐Hsun Wen, Li‐Jen Liao, Ping‐Yi Lin, Chih‐Ming Chang
article en
3 citations

Abstract

ObjectiveInflammatory markers, such as the neutrophil-to-lymphocyte Ratio (NLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and panimmune-inflammatory value (PIV), have previously been identified as prognostic factors in head and neck cancer (HNC). Notably, time-dependent receiver operating characteristic (ROC) curves have rarely been used to assess the prognostic role of inflammatory markers in head and neck cancer. This study aimed to evaluate the significance of the NLR, SII, SIRI, and PIV in this context.MethodsThis retrospective cohort study was conducted at Far Eastern Memorial Hospital, a tertiary medical center between July 2022 and January 2025, and 153 patients with HNC were enrolled in this study. Inflammatory markers were compared by tumor status, nodal involvement, and stage. Time-dependent ROC analysis was used to determine the area under the curve (AUC) and optimal cutoff values for overall survival (OS) and disease-specific survival (DSS) with Cox regression.ResultsThe NLR, SII, SIRI, and PIV were significantly associated with tumor status and stage (p < 0.05). The optimal cutoff values were 2.9, 630, 1.6, and 400, with corresponding time-dependent AUCs of 0.73, 0.71, 0.64, and 0.62, with corresponding sensitivities of 81.7%, 81.2%, 55.9%, and 60.8%, and specificities of 64.1%, 54.9%, 68.5%, and 60.4%., respectively. Higher NLR, SII, SIRI, and PIV values were associated with poor OS and DSS.ConclusionsThe NLR, SII, SIRI, and PIV are associated with tumor status and poor survival outcomes (OS and DSS) and may provide additional stratification and risk-based management in patients with HNC.

Science ProgressVol. 108(4)
Far Eastern Memorial Hospital (TW), Yuan Ze University (TW)
Openalex Percentile: Top 7%
Inflammatory Biomarkers in Disease Prognosis
3.14
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.