Sonis Stephen T
Divisions of Oral Medicine, Brigham and Women's Hospital and the Dana-Farber Cancer Institute, Boston, MA, United States.
Department of Oral Medicine, Infection and Immunity, Harvard School of Dental Medicine, Boston, MA, United States.
Front Oral Health. 2022 Aug 18;3:917860. doi: 10.3389/froh.2022.917860. eCollection 2022.
Oral complications of cancer therapy are common, markedly symptomatic, negatively impact patients' quality of life, and add significantly to the cost of care. Patients' risk of treatment-related toxicities is not uniform; most patients suffer at least one side effect, while others tolerate treatment without any. Understanding those factors which impact risk provides opportunities to customize cancer treatment plans to optimize tumor kill and minimize regimen-related toxicities. Oral mucositis (OM) is an iconic example of a clinically significant and common complication of head and neck radiotherapy. Individuals' OM risk is governed by the cumulative impact of factors related to treatment, the tumor, and the patient. In addition to OM risk prediction, a second opportunity to apply precision medicine will evolve as viable treatment options become available. Patients vary widely in how well or poorly they respond to specific treatments. What works well in one individual, might fail in another. Prospective determination of the likelihood of a patient's response or non-response is based on a range of biological interactions. Coupled with risk determination, the application of precision medicine will allow caregivers, patients, and payers to integrate risk/benefit to optimize the probability that the best treatment is be given to the most appropriate patients.
癌症治疗的口腔并发症很常见,症状明显,对患者的生活质量有负面影响,还会显著增加护理成本。患者发生与治疗相关毒性的风险并不一致;大多数患者至少会出现一种副作用,而其他患者则能耐受治疗且无任何不良反应。了解那些影响风险的因素,可为定制癌症治疗方案提供机会,以优化肿瘤杀伤效果并将治疗方案相关的毒性降至最低。口腔黏膜炎(OM)是头颈部放疗临床上显著且常见的并发症的一个典型例子。个体的口腔黏膜炎风险受与治疗、肿瘤和患者相关因素的累积影响。除了口腔黏膜炎风险预测外,随着可行的治疗选择出现,应用精准医学的第二个机会也将应运而生。患者对特定治疗的反应差异很大。对一个人有效的治疗,对另一个人可能无效。对患者反应或无反应可能性的前瞻性判定基于一系列生物学相互作用。结合风险判定,精准医学的应用将使医护人员、患者和支付方能够综合考虑风险/益处,以优化将最佳治疗给予最合适患者的概率。