Functional connectome biotypes of chemotherapy-related cognitive impairment

被引:27
作者
Kesler, Shelli R. [1 ,2 ,3 ]
Petersen, Melissa L. [4 ]
Rao, Vikram [1 ,2 ]
Harrison, Rebecca A. [5 ]
Palesh, Oxana [6 ,7 ]
机构
[1] Univ Texas Austin, Sch Nursing, Canc Neurosci Lab, 1710 Red River St, Austin, TX 78712 USA
[2] Univ Texas Austin, Dell Sch Med, Dept Diagnost Med, Austin, TX 78712 USA
[3] Univ Texas Austin, Dell Sch Med, LIVESTRONG Canc Inst, Austin, TX 78712 USA
[4] Univ North Texas, Hlth Sci Ctr, Dept Family Med, Ft Worth, TX USA
[5] Univ Texas MD Anderson Canc Ctr, Dept Neurooncol, Houston, TX 77030 USA
[6] Stanford Univ, Sch Med, Dept Psychiat & Behav Sci, Palo Alto, CA 94304 USA
[7] Stanford Canc Inst, Palo Alto, CA USA
基金
美国国家卫生研究院;
关键词
MRI; Cognition; Connectome; Machine Learning; Breast Cancer; BREAST-CANCER SURVIVORS; STRUCTURAL CONNECTOME; YOUNG SURVIVORS; NETWORK; CONNECTIVITY; STATE; FMRI; BEHAVIOR; MODE;
D O I
10.1007/s11764-020-00863-1
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose 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. Methods 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. Results 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. Conclusions Neurophysiologic biotypes may help characterize the heterogeneity associated with CRCI in a data-driven manner based on neuroimaging biomarkers. Implications for Cancer Survivors 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.
引用
收藏
页码:483 / 493
页数:11
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