Department of Oral Health and Diagnostic Sciences, University of Connecticut School of Dental Medicine and Neag Comprehensive Cancer Center, University of Connecticut Health Center, Farmington, Connecticut 06030-1605, USA.
Curr Opin Oncol. 2010 Jul;22(4):318-22. doi: 10.1097/CCO.0b013e32833a9fab.
Mucositis has long been viewed as an unavoidable consequence of high-dose chemotherapy and/or radiation. Management has been directed to supportive care including oral pain control, nutritional support, infection treatment and control of diarrhea. Whereas these interventions have been valuable for clinical management, they have not been collectively directed to molecularly targeted prevention and treatment. This review addresses recent advances regarding mucosal injury in cancer patients, with emphasis on symptom clusters, genetically based tissue susceptibility and risk prediction, imaging technology, and computational biology.
Modeling of symptom clusters in cancer patients continues to mature. Although integration of mucositis into the paradigm is at an early stage, recent studies suggest that important molecular and clinical insights will emerge in this regard. Initial studies of genetic-based tissue risk are also providing a research basis that may lead to clinical risk prediction models. These advances are in part being engineered via new imaging and computational biology technologies, drawing upon literature in nonmucositis systems. Just as the past decade has been hallmarked by linkage of pathobiology with clinical expression of mucosal toxicity, the next decade promises to identify new molecular interactions and risk prediction models based on novel application of the analytic technologies.
Recent research has culminated in convergence of molecular pathobiology with models of symptom clusters, genetic-based risk, and imaging and computational biology. The field is poised to further delineate this paradigm, with the goal of development of molecularly targeted drugs and devices for mucositis management.
长期以来,黏膜炎一直被视为大剂量化疗和/或放疗不可避免的后果。其治疗主要集中于支持性治疗,包括口腔疼痛控制、营养支持、感染治疗和腹泻控制。虽然这些干预措施对临床管理非常有价值,但它们并没有集中针对分子靶向预防和治疗。本文主要针对癌症患者的黏膜损伤,重点讨论症状群、基于基因的组织易感性和风险预测、成像技术和计算生物学方面的最新进展。
癌症患者症状群的建模仍在不断完善。尽管将黏膜炎纳入该模型的研究还处于早期阶段,但最近的研究表明,在这方面将出现重要的分子和临床见解。基于基因的组织风险的初步研究也为临床风险预测模型提供了研究基础。这些进展部分是通过新的成像和计算生物学技术实现的,这些技术借鉴了非黏膜炎系统的文献。正如过去十年将病理生物学与黏膜毒性的临床表达联系起来一样,未来十年有望基于新的分析技术,确定新的分子相互作用和风险预测模型。
最近的研究将分子病理生物学与症状群模型、基于基因的风险以及成像和计算生物学融合在一起。该领域有望进一步阐述这一模式,目标是开发用于黏膜炎管理的靶向药物和设备。