Cancer Neuroscience Laboratory, School of Nursing, University of Texas at Austin, 1710 Red River St, Austin, TX, 78712, USA.
Department of Diagnostic Medicine, Dell School of Medicine, University of Texas at Austin, Austin, TX, USA.
J Cancer Surviv. 2020 Aug;14(4):483-493. doi: 10.1007/s11764-020-00863-1. Epub 2020 Mar 10.
Cancer-related cognitive impairment (CRCI) is a common neurotoxicity among patients with breast and other cancers. Neuroimaging studies have demonstrated measurable biomarkers of CRCI but have largely neglected the potential heterogeneity of the syndrome.
We used retrospective functional MRI data from 80 chemotherapy-treated breast cancer survivors to examine neurophysiologic subtypes or "biotypes" of CRCI. The breast cancer group consisted of training (N = 57) and validation (N = 23) samples.
An unsupervised clustering approach using connectomes from the training sample identified three distinct biotypes. Cognitive performance (p < 0.05, corrected) and regional connectome organization (p < 0.001, corrected) differed significantly between the biotypes and also from 103 healthy female controls. We then built a random forest classifier using connectome features to distinguish between the biotypes (accuracy = 91%) and applied this to the validation sample to predict biotype assignment. Cognitive performance (p < 0.05, corrected) and regional connectome organization (p < 0.005, corrected) differed significantly between the predicted biotypes and healthy controls. Biotypes were also characterized by divergent clinical and demographic factors as well as patient reported outcomes.
Neurophysiologic biotypes may help characterize the heterogeneity associated with CRCI in a data-driven manner based on neuroimaging biomarkers.
Our novel findings provide a foundation for detecting potential risk and resilience factors that warrant further study. With further investigation, biotypes might be used to personalize assessments of and interventions for CRCI.
癌症相关认知障碍(CRCI)是乳腺癌和其他癌症患者常见的神经毒性。神经影像学研究已经证明了 CRCI 的可测量生物标志物,但在很大程度上忽略了该综合征的潜在异质性。
我们使用 80 名接受化疗的乳腺癌幸存者的回顾性功能磁共振成像数据,来研究 CRCI 的神经生理亚型或“生物型”。乳腺癌组包括训练(N=57)和验证(N=23)样本。
使用训练样本的连接组学进行的无监督聚类方法确定了三种不同的生物型。认知表现(p<0.05,校正)和区域连接组组织(p<0.001,校正)在生物型之间以及与 103 名健康女性对照之间存在显著差异。然后,我们使用连接组特征构建了一个随机森林分类器来区分生物型(准确率=91%),并将其应用于验证样本以预测生物型分配。认知表现(p<0.05,校正)和区域连接组组织(p<0.005,校正)在预测的生物型与健康对照组之间存在显著差异。生物型还具有不同的临床和人口统计学因素以及患者报告的结果。
神经生理生物型可以帮助以数据驱动的方式根据神经影像学生物标志物来描述与 CRCI 相关的异质性。
我们的新发现为检测潜在的风险和恢复力因素提供了基础,这些因素值得进一步研究。随着进一步的研究,生物型可能被用于个性化评估和干预 CRCI。