Rapid response to selpercatinib in RET fusion positive pancreatic neuroendocrine carcinoma confirmed by smartwatch
Deschler-Baier et al.
The finding, in our words
A patient with RET fusion positive pancreatic neuroendocrine carcinoma had early improvement in smartwatch readings after starting selpercatinib, which preceded rises in serum tumour markers and CT changes confirming tumour response. Wearable signals may therefore flag efficacy sooner than conventional methods in targeted cancer therapy.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
The High-Definition Oncology feasibility study in 30 women with metastatic cancer demonstrated high adherence to biospecimen collection (97.4% plasma, 80.7% stool) and wearable monitoring (70–95% of days captured for activity, heart rate, sleep, and oxygen saturation). This establishes a viable framework for decentralised, multimodal data collection in oncology to support individualised treatment models.
Garma et al., JCO precision oncology (paywalled) · source ↗
In progressive multiple sclerosis, higher serum neurofilament light chain levels were associated with reduced daily step counts from wearables, while higher step counts were linked to lower sNfL. A ten percent increase in steps corresponded to a 0.015 decrease in sNfL z-score, suggesting rising sNfL may predict subsequent mobility decline.
Joseph et al., Annals of clinical and translational neurology (paywalled) · source ↗
In 50 cancer patients monitored at home with an Apple Watch for 28 days, a method that classified missing step data by gap duration and context produced the most reliable daily step estimates. Daily step counts on days with at least ten hours of wear time predicted time to first clinical event (p=0.068) and identified participants at lower hazard of mortality, with 83.3% accuracy for clinical event prediction, demonstrating that processed consumer wearable data can support remote monitoring in decentralised oncology trials.
Oakley-Girvan et al., Digital biomarkers · source ↗
The study demonstrated that longitudinal remote monitoring using wearable sleep electroencephalography, actigraphy, and self-collected saliva samples is feasible in older adults with mild cognitive impairment or dementia, with high retention and data completeness rates over eight weeks.