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Untailored vs. Gender- and Body-Mass-Index-Tailored Skeletal Muscle Mass Index (SMI) to Assess Sarcopenia in Advanced Head and Neck Squamous Cell Carcinoma (HNSCC)

SIMPLE SUMMARY: In this study, we investigated the optimal SMI cutoff to discriminate overall survival (OS) in a cohort of consecutive advanced HNSCC patients. Untailored, BMI-tailored and gender-tailored cutoffs were analyzed, and gender-tailored SMI categorization had the highest prognostic value,...

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Autores principales: Morelli, Cristina, Formica, Vincenzo, Bossi, Paolo, Rofei, Michela, Guerriero, Simona, Riondino, Silvia, Argirò, Renato, Pucci, Noemi, Cenci, Tonia, Savino, Luca, Rinaldi, Carla G., Garaci, Francesco, Orlandi, Augusto, D’Angelillo, Rolando M., Arkenau, Hendrik-Tobias, Roselli, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571960/
https://www.ncbi.nlm.nih.gov/pubmed/37835410
http://dx.doi.org/10.3390/cancers15194716
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author Morelli, Cristina
Formica, Vincenzo
Bossi, Paolo
Rofei, Michela
Guerriero, Simona
Riondino, Silvia
Argirò, Renato
Pucci, Noemi
Cenci, Tonia
Savino, Luca
Rinaldi, Carla G.
Garaci, Francesco
Orlandi, Augusto
D’Angelillo, Rolando M.
Arkenau, Hendrik-Tobias
Roselli, Mario
author_facet Morelli, Cristina
Formica, Vincenzo
Bossi, Paolo
Rofei, Michela
Guerriero, Simona
Riondino, Silvia
Argirò, Renato
Pucci, Noemi
Cenci, Tonia
Savino, Luca
Rinaldi, Carla G.
Garaci, Francesco
Orlandi, Augusto
D’Angelillo, Rolando M.
Arkenau, Hendrik-Tobias
Roselli, Mario
author_sort Morelli, Cristina
collection PubMed
description SIMPLE SUMMARY: In this study, we investigated the optimal SMI cutoff to discriminate overall survival (OS) in a cohort of consecutive advanced HNSCC patients. Untailored, BMI-tailored and gender-tailored cutoffs were analyzed, and gender-tailored SMI categorization had the highest prognostic value, which was retained in a multivariate analysis including several HNSCC-specific prognostic factors. ABSTRACT: (1) Background: Sarcopenia lasting >1 year might be considered a chronic condition in many HNSCC patients. CT-scan-derived Skeletal Muscle Mass Index (SMI) is an established surrogate of sarcopenia; yet, the cut-off reported in the literature (literature-based, lb-SMI < 43.2) is mainly based on the risk of chemoradiotherapy-induced toxicity, and the optimal value to discriminate OS is under-investigated. (2) Methods: The effect on OS of the lb-SMI cutoff was compared with an untailored OS-oriented SMI cutoff obtained in a cohort of consecutive advanced HNSCC patients treated with primary chemoradiotherapy, bio-chemotherapy or chemo-immunotherapy (cohort-specific, cs-SMI cutoff). Gender- and BMI-tailored (gt-SMI and bt-SMI) cut-offs were also evaluated. Cutoff values were identified by using the maximally selected rank statistics for OS. (3) Results: In 115 HNSCC patients, the cs-SMI cutoff was 31.50, which was lower compared to the lb-SMI reported cut-off. The optimal cut-off separately determined in females, males, overweight and non-overweight patients were 46.02, 34.37, 27.32 and 34.73, respectively. gt-SMI categorization had the highest effect on survival (p < 0.0001); its prognostic value was independent of the treatment setting or the primary location and was retained in a multivariate cox-regression analysis for OS including other HNSCC-specific prognostic factors (p = 0.0004). (4) Conclusions: A tailored SMI assessment would improve clinical management of sarcopenia in chemoradiotherapy-, bio-chemotherapy- or chemo-immunotherapy-treated HNSCC patients. Gender-based SMI could be used for prognostication in HNSCC patients.
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spelling pubmed-105719602023-10-14 Untailored vs. Gender- and Body-Mass-Index-Tailored Skeletal Muscle Mass Index (SMI) to Assess Sarcopenia in Advanced Head and Neck Squamous Cell Carcinoma (HNSCC) Morelli, Cristina Formica, Vincenzo Bossi, Paolo Rofei, Michela Guerriero, Simona Riondino, Silvia Argirò, Renato Pucci, Noemi Cenci, Tonia Savino, Luca Rinaldi, Carla G. Garaci, Francesco Orlandi, Augusto D’Angelillo, Rolando M. Arkenau, Hendrik-Tobias Roselli, Mario Cancers (Basel) Article SIMPLE SUMMARY: In this study, we investigated the optimal SMI cutoff to discriminate overall survival (OS) in a cohort of consecutive advanced HNSCC patients. Untailored, BMI-tailored and gender-tailored cutoffs were analyzed, and gender-tailored SMI categorization had the highest prognostic value, which was retained in a multivariate analysis including several HNSCC-specific prognostic factors. ABSTRACT: (1) Background: Sarcopenia lasting >1 year might be considered a chronic condition in many HNSCC patients. CT-scan-derived Skeletal Muscle Mass Index (SMI) is an established surrogate of sarcopenia; yet, the cut-off reported in the literature (literature-based, lb-SMI < 43.2) is mainly based on the risk of chemoradiotherapy-induced toxicity, and the optimal value to discriminate OS is under-investigated. (2) Methods: The effect on OS of the lb-SMI cutoff was compared with an untailored OS-oriented SMI cutoff obtained in a cohort of consecutive advanced HNSCC patients treated with primary chemoradiotherapy, bio-chemotherapy or chemo-immunotherapy (cohort-specific, cs-SMI cutoff). Gender- and BMI-tailored (gt-SMI and bt-SMI) cut-offs were also evaluated. Cutoff values were identified by using the maximally selected rank statistics for OS. (3) Results: In 115 HNSCC patients, the cs-SMI cutoff was 31.50, which was lower compared to the lb-SMI reported cut-off. The optimal cut-off separately determined in females, males, overweight and non-overweight patients were 46.02, 34.37, 27.32 and 34.73, respectively. gt-SMI categorization had the highest effect on survival (p < 0.0001); its prognostic value was independent of the treatment setting or the primary location and was retained in a multivariate cox-regression analysis for OS including other HNSCC-specific prognostic factors (p = 0.0004). (4) Conclusions: A tailored SMI assessment would improve clinical management of sarcopenia in chemoradiotherapy-, bio-chemotherapy- or chemo-immunotherapy-treated HNSCC patients. Gender-based SMI could be used for prognostication in HNSCC patients. MDPI 2023-09-25 /pmc/articles/PMC10571960/ /pubmed/37835410 http://dx.doi.org/10.3390/cancers15194716 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Morelli, Cristina
Formica, Vincenzo
Bossi, Paolo
Rofei, Michela
Guerriero, Simona
Riondino, Silvia
Argirò, Renato
Pucci, Noemi
Cenci, Tonia
Savino, Luca
Rinaldi, Carla G.
Garaci, Francesco
Orlandi, Augusto
D’Angelillo, Rolando M.
Arkenau, Hendrik-Tobias
Roselli, Mario
Untailored vs. Gender- and Body-Mass-Index-Tailored Skeletal Muscle Mass Index (SMI) to Assess Sarcopenia in Advanced Head and Neck Squamous Cell Carcinoma (HNSCC)
title Untailored vs. Gender- and Body-Mass-Index-Tailored Skeletal Muscle Mass Index (SMI) to Assess Sarcopenia in Advanced Head and Neck Squamous Cell Carcinoma (HNSCC)
title_full Untailored vs. Gender- and Body-Mass-Index-Tailored Skeletal Muscle Mass Index (SMI) to Assess Sarcopenia in Advanced Head and Neck Squamous Cell Carcinoma (HNSCC)
title_fullStr Untailored vs. Gender- and Body-Mass-Index-Tailored Skeletal Muscle Mass Index (SMI) to Assess Sarcopenia in Advanced Head and Neck Squamous Cell Carcinoma (HNSCC)
title_full_unstemmed Untailored vs. Gender- and Body-Mass-Index-Tailored Skeletal Muscle Mass Index (SMI) to Assess Sarcopenia in Advanced Head and Neck Squamous Cell Carcinoma (HNSCC)
title_short Untailored vs. Gender- and Body-Mass-Index-Tailored Skeletal Muscle Mass Index (SMI) to Assess Sarcopenia in Advanced Head and Neck Squamous Cell Carcinoma (HNSCC)
title_sort untailored vs. gender- and body-mass-index-tailored skeletal muscle mass index (smi) to assess sarcopenia in advanced head and neck squamous cell carcinoma (hnscc)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571960/
https://www.ncbi.nlm.nih.gov/pubmed/37835410
http://dx.doi.org/10.3390/cancers15194716
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