Immunotherapy Combined With Standard Therapies in Head and Neck Squamous Cell Carcinoma - A Meta-analysis.

Head and neck cancer head and neck squamous cell carcinoma immunotherapy quality of life review standard therapies survival

Journal

Anticancer research
ISSN: 1791-7530
Titre abrégé: Anticancer Res
Pays: Greece
ID NLM: 8102988

Informations de publication

Date de publication:
Mar 2024
Historique:
received: 30 01 2024
revised: 06 02 2024
accepted: 07 02 2024
medline: 1 3 2024
pubmed: 1 3 2024
entrez: 29 2 2024
Statut: ppublish

Résumé

Head and neck squamous cell carcinoma (HNSCC) is a deadly disease with a poor prognosis due to late diagnosis and limited treatment options. Immunotherapy (IT) is emerging as a promising approach, especially after the failure of standard of care therapies (STs). The objective of this systematic review and meta-analysis was to evaluate whether the addition of IT to STs improves outcomes for patients with HNSCC, including overall survival (OS), progression-free survival (PFS), and quality of life (QoL). This review employed the Population Intervention Comparison and Outcome (PICO) framework to identify relevant search terms in electronic databases, and also included supplementary hand searches. Six primary research articles were selected using the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) flow chart, and were critically appraised. Data extraction from these studies was conducted, and a meta-analysis was performed to aid in the generation of forest plots. The addition of IT to standard anticancer therapies was found to enhance patient outcomes, such as OS, PFS, and QoL. The toxicity profile of IT was acceptable, with minimal treatment-related deaths. The most frequently observed adverse events (AE) were related to the skin, followed by hematological toxicities. Based on our analysis, the addition of IT to STs is a suitable treatment option and is supported by current research. However, further studies are needed to investigate factors that influence treatment effectiveness and to develop optimal therapies. To achieve this, we recommend a comprehensive treatment approach that involves the multidisciplinary team (MDT) and patient assessment tools.

Identifiants

pubmed: 38423658
pii: 44/3/861
doi: 10.21873/anticanres.16880
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

861-878

Informations de copyright

Copyright © 2024 International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Auteurs

Daisy Eden (D)

Department of Medical Oncology, Barts Cancer Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, U.K.
Integrated Symptom Control and Palliative Care Team, The Royal Marsden NHS Foundation Trust, London, U.K.

Aruni Ghose (A)

Department of Medical Oncology, Barts Cancer Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, U.K.
Department of Medical Oncology, Medway NHS Foundation Trust, Gillingham, U.K.
Department of Medical Oncology, Mount Vernon Cancer Centre, East and North Hertfordshire NHS Trust, London, U.K.
Immuno-Oncology Clinical Network, Liverpool, U.K.

Michele Moschetta (M)

Novartis Institutes for BioMedical Research, Basel, Switzerland.

José Alejandro Pérez-Fidalgo (JA)

Hematology and Medical Oncology Department, Biomedical Research Institute INCLIVA, University of Valencia, Valencia, Spain.

Elie Rassy (E)

Department of Medical Oncology, Gustave Roussy Institut, Villejuif, France.

Stergios Boussios (S)

Department of Medical Oncology, Medway NHS Foundation Trust, Gillingham, U.K.; stergiosboussios@gmail.com stergios.boussios@nhs.net stergios.boussios@kcl.ac.uk s.boussios@kent.ac.uk stergios.boussios@kmms.ac.uk.
Faculty of Medicine, Health, and Social Care, Canterbury Christ Church University, Canterbury, U.K.
Faculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences, King's College London, London, U.K.
Kent Medway Medical School, University of Kent, Canterbury, U.K.
AELIA Organization, Thessaloniki, Greece.

Classifications MeSH