Background: The purpose of this study was to investigate the prognostic value of the pretreatment inflammatory markers platelet-to-lymphocyte ratio (PLR) and the neutrophil-to-lymphocyte ratio (NLR) in patients with head and neck squamous cell carcinoma (HNSCC).
Methods: We conducted a retrospective analysis of patients diagnosed with HNSCC at McGill University Health Center from 2000 to 2011 (273 patients were retained). Hematologic parameters were recorded within 4 weeks of diagnosis. Mortality and recurrence rates were compared according to various PLR and NLR thresholds.
Results: Of the total patients, 20.5% died and 11.0% had disease recurrence. PLR >170 was associated with higher mortality (p = .008). The subgroup with a combination of PLR >170 and NLR ≤3.0 was associated with higher T classification and highest mortality (43%). NLR above 4.2 predicted higher rates of recurrence (p < .0001). The NLR/PLR combination was at least as good as TNM staging in predicting survival.
Conclusion: PLR is an independent predictor of mortality; NLR is an independent predictor of recurrence in HNSCC. These parameters might be used to identify advanced stages rapidly and economically.
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http://dx.doi.org/10.1002/hed.23567 | DOI Listing |
J Orthop Surg Res
January 2025
Department of Rheumatology and Immunology, Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368 Hanjiang Middle Road, Yangzhou, Jiangsu, 225000, China.
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Department of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Ubon Ratchathani University, Ubon Ratchathani, 34190, Thailand.
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Clinical Pharmacology Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
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January 2025
Section General Internal Medicine, Department of Internal Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands.
Breast Implant Illness (BII) is characterized by a cluster of systemic and local symptoms affecting a subset of women with silicone breast implants. While symptom improvement is frequently observed following implant removal, the underlying mechanisms remain poorly understood, and the absence of reliable biomarkers complicates clinical decision-making. Here, we investigate inflammatory protein profiles in 43 women with BII, comparing pre- and post-explantation levels using the Olink Target 96 Inflammation panel and Meso Scale Discovery technology for absolute quantification.
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