Suppr超能文献

分子病理学:唾液腺肿瘤中的预测性、预后性和诊断性标志物

Molecular Pathology: Predictive, Prognostic, and Diagnostic Markers in Salivary Gland Tumors.

作者信息

Seethala Raja R, Griffith Christopher C

机构信息

Department of Pathology and Laboratory Medicine, Presbyterian University Hospital, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA 15213, USA.

Department of Pathology and Laboratory Medicine, Emory University Hospital, Midtown 550 Peachtree Street, Atlanta, GA 30308, USA.

出版信息

Surg Pathol Clin. 2016 Sep;9(3):339-52. doi: 10.1016/j.path.2016.04.002.

Abstract

Although initial attempts at using ancillary studies in salivary gland tumor classification were viewed with skepticism, numerous advances over the past decade have established a role for assessment of molecular alterations in the diagnosis and potential prognosis and treatment of salivary gland tumors. Many monomorphic salivary tumors are now known to harbor defining molecular alterations, usually translocations. Pleomorphic, high-grade carcinomas tend to have complex alterations that are often further limited by inaccuracy of initial classification by morphologic and immunophenotypic features. Next-generation sequencing techniques have great potential in many aspects of salivary gland tumor classification and biomarker discovery.

摘要

尽管最初尝试将辅助研究用于唾液腺肿瘤分类时受到质疑,但在过去十年中取得的众多进展已确立了评估分子改变在唾液腺肿瘤诊断、潜在预后及治疗方面的作用。现在已知许多单形性腺样瘤都存在明确的分子改变,通常为易位。多形性高级别癌往往具有复杂的改变,而最初通过形态学和免疫表型特征进行的分类不准确,这常常进一步限制了对这些改变的认识。下一代测序技术在唾液腺肿瘤分类和生物标志物发现的许多方面具有巨大潜力。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验