Exercise May Affect Metabolism in Cancer-Related Cognitive Impairment

Abstract

Cancer-related cognitive impairment (CRCI) is a significant comorbidity for cancer patients and survivors. Physical activity (PA) has been found to be a strong gene modulator that can induce structural and functional changes in the brain. PA and exercise reduce the risk of cancer development and progression and has been shown to help in overcoming post-treatment syndromes. Exercise plays a role in controlling cancer progression through direct effects on cancer metabolism. In this review, we highlight several priorities for improving studies on CRCI in patients and its underlying potential metabolic mechanisms.

Neuroimaging based biotypes for precision diagnosis and prognosis in cancer-related cognitive impairment

“…There have also been several studies examining behavioral (e.g., psychoeducational, cognitive behavioral therapy, compensatory strategies, cognitive training, cognitive rehabilitation), lifestyle (e.g., physical activity, diet, stress management), neuromodulation (neurofeedback, transcranial magnetic stimulation), and integrative (e.g., acupuncture, music, meditation, yoga) interventions for CRCI (153,(170)(171)(172)(173)(174)(175)(176). A meta-analysis of 29 randomized control trials reported that the best options among behavioral interventions for CRCI in descending order of efficacy were: meditation/mindfulnessbased stress reduction, combined cognitive training with exercise, cognitive training, cognitive rehabilitation, exercise, cognitive behavioral therapy, qigong, supportive therapy, yoga, and acupuncture (170).…”

36 weeks of Multicomponent Training Reverse Strength Sequels in Mastectomy Arm, Improves Functional Fitness and Quality of Life of Breast Cancer Survivors: A Machine Learning-Assisted Experimental Trial

“…Moreover, all these exercise programs have shown positive effects on body composition, biomarkers, functionality, and QoL of BC survivors, strengthening the evidence about the positive effects of physical exercise for BC patients [12][13][14][15] . Therefore, physical exercise interventions that demonstrate proven efficiency can act to reduce fat mass and increase muscle mass [16] , and should also improve the metabolism [17] , reducing and attenuating the inflammatory process [18] , which helps in rehabilitation, restores functional fitness and QoL, and also reduces the risk of BC relapse in BC survivors [19,20] .…”

A Deep Learning Neural Network to Classify Obesity Risk in Portuguese Adolescents Based on Physical Fitness Levels and Body Mass Index Percentiles: Insights for National Health Policies

“…The NNET are deep learning (DL) methods that, in other words, teach the computer software from computers to process data inspired by the biological neural networks present in the human brain [20,21]. The main difference between DL from machine learning (ML) is that in DL the process happens without the supervision of humans and the system can learn and have precise and intelligent decisions by its own way [22].…”

“…The main difference between DL from machine learning (ML) is that in DL the process happens without the supervision of humans and the system can learn and have precise and intelligent decisions by its own way [22]. Indeed, it can learn and identify patterns in complex datasets, providing information for disease diagnosis and prediction, which in turn helps epidemiological modeling, environmental health, healthcare management, and public health surveillance [20,21,23]. Consequently, developing precise and consistent models may be useful for the early management and prevention of obesityrelated health disorders.…”