Improving personalized treatment decision-making for older adults with cancer: The necessity of eliciting patient preferences.
Improving personalized treatment decision-making for older adults with cancer: The necessity of eliciting patient preferences.
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DOI：
10.1016/j.jgo.2021.06.001
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发表时间：
2022-01
影响因子：
3
通讯作者：
Loh KP
中科院分区：
文献类型：
--
作者：
Richardson DR;Loh KP
作为肿瘤学家，我们负有一项基本责任，即提供针对每个个体的个性化医疗服务。除了患者的治疗选择出现前所未有的扩展之外，分子分析和功能评估方面的最新进展极大地提高了我们预测老年癌症患者风险、获益和治疗结果的能力。分子分析可识别基因组异常，使肿瘤学家能够预测对癌症治疗的反应。诸如老年评估之类的功能评估使肿瘤学家能够预测与治疗相关的发病和死亡风险。目前正在进行的努力旨在通过确定相关的具有临床意义的阈值（例如，变异等位基因频率的截断值、特定疾病的健康标准），进一步提高我们预测个体治疗结果的能力。复杂的风险预测模型现在经常被用于整合这些数据，并生成对癌症治疗的生存和反应的个性化估计，帮助肿瘤学家提供个性化的高质量医疗服务。然而，对疾病和患者功能的评估不足以指导个性化的治疗建议——我们必须了解患者对治疗结果的偏好，以便调整治疗方案。
We have a fundamental responsibility as oncologists to deliver personalized care tailored to each individual. In addition to an unprecedented expansion of treatment options for patients, recent advances in molecular profiling and functional assessments have greatly improved our ability to predict risks, benefits, and outcomes for older patients with cancer. Molecular profiling identifies genomic abnormalities and allows oncologists to predict response to cancer therapy. Functional assessment such as a geriatric assessment allows oncologists to predict risks of treatment-related morbidity and mortality. Ongoing efforts aim to further refine our ability to predict outcomes for individuals by identifying relevant clinically meaningful thresholds (e.g., cut-off values for variant allele frequency, fitness criteria for a specific disease). Complex risk prediction models are now routinely used to integrate these data and produce personalized estimates of survival and response to cancer therapies, helping oncologists to provide personalized, high-quality care. Assessments of the disease and function of the patient, however, are insufficient to guide personalized treatment recommendations—we must understand patient preferences for treatment outcomes in order to tailor treatment.
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影响因子：
4.1
作者：
Pel-Littel RE;Snaterse M;Teppich NM;Buurman BM;van Etten-Jamaludin FS;van Weert JCM;Minkman MM;Scholte Op Reimer WJM
通讯作者：
Scholte Op Reimer WJM
影响因子：
3.1
作者：
Beaussant Y;Mathieu-Nicot F;Pazart L;Tournigand C;Daneault S;Cretin E;Godard-Marceau A;Chassagne A;Trimaille H;Bouleuc C;Cuynet P;Deconinck E;Aubry R
通讯作者：
Aubry R
影响因子：
3.2
作者：
Brom, Linda;De Snoo-Trimp, Janine C.;Pasman, H. Roeline W.
通讯作者：
Pasman, H. Roeline W.
影响因子：
3
作者：
Loh, Kah Poh;Tooze, Janet A.;Klepin, Heidi D.
通讯作者：
Klepin, Heidi D.
影响因子：
2.6
作者：
Loh KP;Abdallah M;Kadambi S;Wells M;Kumar AJ;Mendler JH;Liesveld JL;Wittink M;O'Dwyer K;Becker MW;McHugh C;Stock W;Majhail NS;Wildes TM;Duberstein P;Mohile SG;Klepin HD
通讯作者：
Klepin HD