Development of a predictive model for recurrence in postoperative glottic laryngeal squamous cell carcinoma patients following adjuvant chemotherapy based on PNI, NLR, and PLR

The Nomogram model developed in this study integrates multiple clinical and inflammatory-immune indicators, enabling accurate prediction of 12-, 24-, and 36-month recurrence-free survival rates in post-surgical patients with glottic laryngeal cancer. The model holds significant clinical value, with IL-6, IL-8, and PNI identified as crucial indicators for predicting recurrence risk, providing valuable insights for postoperative follow-up and individualized treatment strategies.

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Publication Details

Journal
American Journal of Cancer Research
Published
2025-01-01
DOI
https://doi.org/10.62347/cyny8714
Citations
1
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
1.85
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article

Development of a predictive model for recurrence in postoperative glottic laryngeal squamous cell carcinoma patients following adjuvant chemotherapy based on PNI, NLR, and PLR

Bao-Xiao Wang
1 citations
American Journal of Cancer Research
Head and Neck Cancer Studies
1.85
article

Development of a predictive model for recurrence in postoperative glottic laryngeal squamous cell carcinoma patients following adjuvant chemotherapy based on PNI, NLR, and PLR

Bao-Xiao Wang
article en
1 citations

Abstract

The Nomogram model developed in this study integrates multiple clinical and inflammatory-immune indicators, enabling accurate prediction of 12-, 24-, and 36-month recurrence-free survival rates in post-surgical patients with glottic laryngeal cancer. The model holds significant clinical value, with IL-6, IL-8, and PNI identified as crucial indicators for predicting recurrence risk, providing valuable insights for postoperative follow-up and individualized treatment strategies.

American Journal of Cancer ResearchVol. 15(6)
Sun Yat-sen University (CN), Sun Yat-sen Memorial Hospital (CN)
Zero hunger
Openalex Percentile: Top 15%
Head and Neck Cancer Studies
1.85
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