Evaluation of Sarcopenia As A Prognostic Biomarker in Locally Advanced Head and Neck Squamous Cell Carcinoma

Erul, Enes; Güven, Deniz Can; Ozbay, Yakup; Altunbulak, Ahmet Y; Kahvecioglu, Alper; Ercan, Fatih; Yesil, Muhammed F; Ucdal, Mete; Cengiz, Mustafa; Yazıcı, Gözde; Kuşçu, Oğuz; Süslü, Nilda; Güllü, İbrahi̇m; Onur, Mehmet Ruhi; Aksoy, Sercan

doi:10.2217/bmm-2022-0748

Cited by 3 publications

(1 citation statement)

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“…Malnutrition is a common complication of tumors and is specifically prevalent in head and neck cancers 29 . The mechanism underlying cancer-related malnutrition includes reduced intake caused by cancer-related symptoms, treatment toxicity, excess catabolism and systemic inflammation.…”

Section: Discussionmentioning

confidence: 99%

Nomograms based on the lymphocyte–albumin–neutrophil ratio (LANR) for predicting the prognosis of nasopharyngeal carcinoma patients after definitive radiotherapy

Zhang,

Chen,

Ling

et al. 2024

Sci Rep

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Much evidence has accumulated to show that inflammation and nutritional status are associated with the prognosis of patients with various cancers. The present study was designed to explore the prognostic role of the LANR in NPC patients receiving definitive radiotherapy and to construct a nomogram for predicting patient survival. This study retrospectively reviewed 805 NPC patients (604 in the training cohort and 201 in the validation cohort) who received definitive radiotherapy between January 2013 and December 2019. The clinical data and pretreatment laboratory test data, including lymphocyte count, neutrophil count, and serum ALB concentration, were collected for all patients. The LANR was calculated as the albumin × lymphocyte/neutrophil ratio. Patients in the training cohort and validation cohort were categorized into high-LANR and low-LANR groups according to the corresponding cutoff values. The independent prognostic factors for overall survival (OS), progression-free survival (PFS), relapse-free survival (RFS), and metastasis-free survival (MFS) were evaluated by univariate and multivariate Cox regression analyses, and a nomogram was subsequently constructed. The performance of the nomogram was evaluated by the concordance index (C-index) and calibration curve. A low LANR (< 14.3) was independently associated with worse OS, PFS and MFS in NPC patients. A prognostic prediction nomogram was established based on T stage, N stage, Eastern Cooperative Oncology Group (ECOG) score, treatment modality, and LANR and was validated. The C-indices of the nomograms for OS and PFS in the training cohort were 0.729 and 0.72, respectively. The C-indices of the nomograms for OS and PFS in the validation cohort were 0.694 and 0.695, respectively. The calibration curve revealed good consistency between the actual survival and the nomogram prediction. Patients with NPC with low pretreatment LANR had a poor prognosis. The nomogram established on the basis of the LANR was efficient and clinically useful for predicting survival in NPC patients who underwent definitive radiotherapy.

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Section: Discussionmentioning

confidence: 99%