关于头颈癌(包括唾液腺肿瘤)生物标志物使用的建议:西班牙肿瘤医学学会和西班牙病理学会的共识

Q4 Medicine
José Manuel Trigo Pérez , Mónica García-Cosío , Almudena García-Castaño , Montserrat Gomà , Ricard Mesia-Nin , Elena Ruiz-Bravo , Ainara Soria-Rivas , Paola Castillo , Irene Braña-García , Margarita Alberola-Ferranti
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引用次数: 0

摘要

头颈部和唾液腺肿瘤的治疗是复杂的,并且不断发展。治疗反应的预后和预测指标对于设计个性化治疗非常有价值,这证明了其研究和验证的合理性。一些生物标志物,如p16、EB病毒、PD-L1、雄激素受体和HER-2,已经在临床实践中常规使用。这些生物标志物,连同目前正在开发的其他标志物,以及基因的大规模平行测序,确保了这些肿瘤治疗的未来进展。在这种共识中,西班牙病理学学会(Sociedad Española de Anatomía Patológica–SEAP)和西班牙医学肿瘤学会(Socied ad Espaíola de Oncología Médica–SEOM)选择了一组诊断和治疗头颈部和唾液腺肿瘤的专家,以评估目前可用的信息,并提出一系列建议优化生物标志物的测定和日常临床使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recommendations for the use of biomarkers for head and neck cancer, including salivary gland tumours: A Consensus of the Spanish Society of Medical Oncology and the Spanish Society of Pathology

The treatment of head and neck and salivary gland tumours is complicated and is constantly evolving. Prognostic and predictive indicators of response to treatment are enormously valuable for designing individualized therapies, which justifies their research and validation. Some biomarkers, such as p16, Epstein–Barr virus, PD-L1, androgen receptors and HER-2, are already used routinely in clinical practice. These biomarkers, along with other markers that are currently under development, and the massively parallel sequencing of genes, ensure future advances in the treatment of these neoplasms.

In this consensus, a group of experts in the diagnosis and treatment of tumours of the head and neck and salivary glands were selected by the Spanish Society of Pathology (Sociedad Española de Anatomía Patológica – SEAP) and the Spanish Society of Medical Oncology (Sociedad Española de Oncología Médica – SEOM) to evaluate the currently available information and propose a series of recommendations to optimize the determination and daily clinical use of biomarkers.

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来源期刊
Revista Espanola de Patologia
Revista Espanola de Patologia Medicine-Pathology and Forensic Medicine
CiteScore
0.90
自引率
0.00%
发文量
53
审稿时长
34 days
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