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RecruitingNCT05106725Updated Aug 21, 2024

Wearable Devices and Biomarkers Project (Healthiomics)

An observational study in Brain Cancer, Neurological Disorder and Neurological Cancer, sponsored by CureScience. Recruiting at 1 site in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-08-21.

Sponsored by CureScience · Observational

From the registry’s dates

  • Primary completion was expected by Dec 2025, 9 months ago, but the record still lists the study as recruiting.
  • Started Oct 2021; still recruiting 4 years 11 months later.
Study type
Observational
Model
Case-control
Time perspective
Prospective
Enrollment
3,500
Ages
18 Years and older
Sex
All
01

Study summary

The purpose of this study is to collect clinical data, biological specimens (e.g., blood, tumor, cerebrospinal fluid, urine sample, etc.), and digital health data from patients with tumors, cancer and/or neurological disorders in order to perform research studies that could advance patient care. By collecting these specimens, the investigators plan to create and maintain a biorepository to make data and specimens available to collaborating investigators performing research to discover predictive biomarkers, patterns of care, and personalized treatments that could directly improve the care of our patients through focused proof-of-concept clinical trials.

Read the detailed description

For brain tumors in particular, this study will provide an important historical dataset against which to compare the addition of novel agents to standard chemoradiation. Despite advancements in surgery, radiotherapy and chemotherapy, the prognosis of malignant gliomas remains poor. Even worse is the prognosis of patients with metastatic brain tumors. However, it is recognized that a small number of brain tumor patients respond durably to specific modalities and treatment regimens and discovery of clinical, imaging, and genetic biomarkers would significantly advance the care of these patients. The development, validation, and application of prognostic biomarkers for primary and secondary brain tumors that predict patient treatment outcome and guide personalized treatment for each patient are of considerable clinical importance. Such prognostic models will allow more informed, pre-treatment decisions about patient response to specific treatments and judiciously guide stratification of patients for specific treatments and enrollment into clinical trials. Prognostic models will also provide a guide and platform for studying many other types of cancer and neurological disorders.

The significance of evaluating the impact of therapy on quality of life and patient-centered outcomes is now widely acknowledged and recognized as one of several measures used to determine clinical benefit. There is increasing evidence that patient reported outcome (PRO) measures are sensitive to changes in disease and treatment characteristics. For example, more recent clinical trials for cancer are now describing the relationship between symptom-based PRO measures and traditional clinical trial endpoints (e.g., overall survival (OS) and progression free survival (PFS)). The relationships between symptoms, signs, and functions are complex, and there is a need to continue to analyze these relationships to determine what is being caused by the treatment and what is being caused by the disease.

Distinguishing outcomes of normal aging from disease is also a challenge, therefore comparing results from patients without neurological disorders ("normal controls") across the spectrum will be an important component of the study.

02

Conditions studied

  • Brain Cancer
  • Neurological Disorder
  • Neurological Cancer

Keywords

  • wearables
  • digital health
  • biospecimens
03

In context

Brain Neoplasms

1,960 studies on the registry are indexed under Brain Neoplasms; 516 are open to participants now.

This study's planned enrollment of 3,500 is above the median of 100 across 380 observational studies indexed under Brain Neoplasms.

Browse Brain Neoplasms studies →

Lead sponsor

This is the only study on the registry with CureScience as lead sponsor.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Potential participants will be referred to the study by a medical provider. Participants may be of sex/gender, race, or ethnic background. Participants must have the capacity to consent, or have a legally authorized representative willing to consent.

Inclusion criteria

  • Participant or participant's legally authorized representative has the ability to understand and the willingness to provide a signed and dated informed consent form.
  • Participant is ≥ 18 years of age.
  • Participant had/has a scheduled appointment with oncology or neurosciences services at the participating medical and surgical facility.
  • Participant is characterized by at least one of the following criteria:

    1. Has a neurological complication from any type of cancer, or is under evaluation for a possible cancer diagnosis or neurologic complication. Participant may be newly diagnosed, in relapse, or be free of disease at the time of recruitment. Participant without a confirmed cancer diagnosis is eligible.; OR
    2. Has a neurological disorder, or is under evaluation for a possible diagnosis of a neurological disorder; OR
    3. Does not meet the characteristic of either a. or b. above. This participant would be considered a "healthy control" for cancer and neurological disorders.

Exclusion criteria

Exclusion Criteria:

  • Participant or participant's legally authorized representative is unable to provide informed consent.
05

Study design

Observational model
Case-control
Time perspective
Prospective
Enrollment
3,500 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Neurological patients

    This cohort will include patients having been diagnosed with a neurological condition.

  • Control

    This cohort will include patients who have not been diagnosed with a neurological disorder.

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What researchers measure

Primary outcomes

  1. Specimen and data storage

    To collect and store biological specimens (such as, but not limited to, tissue, blood, urine, cerebrospinal fluid, etc.), data from functional and anatomical imaging modalities, digital health data and clinical data from patients with cancer or neurological disorders, those who are under evaluation for a possible cancer or neurologic disorders, or healthy controls.

    Time frame: 4 years

Secondary outcomes

  1. Specimen and data analysis

    To perform multi-modality analysis of specimens for biomarker discovery.

    Time frame: 4 years

  2. Collaboration

    To make specimens and data available to collaborating investigators performing IRB-approved research of cancer or neurological disorders.

    Time frame: 4 years

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Study locations

1 of 1 sites recruiting
  • CureScience Institute
    San Diego, California 92121, United States
    • Shashaanka Ashili, PhD · Contact
    • Feng Lin, MD PhD · Principal investigator
    Recruiting
08

References and documents

Publications

  • Bent B, Goldstein BA, Kibbe WA, Dunn JP. Investigating sources of inaccuracy in wearable optical heart rate sensors. NPJ Digit Med. 2020 Feb 10;3:18. doi: 10.1038/s41746-020-0226-6. eCollection 2020. PubMed 32047863 ↗
  • Braun KL, Tsark JU, Powers A, Croom K, Kim R, Gachupin FC, Morris P. Cancer patient perceptions about biobanking and preferred timing of consent. Biopreserv Biobank. 2014 Apr;12(2):106-12. doi: 10.1089/bio.2013.0083. PubMed 24749877 ↗
  • Chen W. Clinical applications of PET in brain tumors. J Nucl Med. 2007 Sep;48(9):1468-81. doi: 10.2967/jnumed.106.037689. Epub 2007 Aug 17. PubMed 17704239 ↗
  • Fulham MJ, Bizzi A, Dietz MJ, Shih HH, Raman R, Sobering GS, Frank JA, Dwyer AJ, Alger JR, Di Chiro G. Mapping of brain tumor metabolites with proton MR spectroscopic imaging: clinical relevance. Radiology. 1992 Dec;185(3):675-86. doi: 10.1148/radiology.185.3.1438744. PubMed 1438744 ↗
  • Gillinov S, Etiwy M, Wang R, Blackburn G, Phelan D, Gillinov AM, Houghtaling P, Javadikasgari H, Desai MY. Variable Accuracy of Wearable Heart Rate Monitors during Aerobic Exercise. Med Sci Sports Exerc. 2017 Aug;49(8):1697-1703. doi: 10.1249/MSS.0000000000001284. PubMed 28709155 ↗
  • Gomez GG, Kruse CA. Mechanisms of malignant glioma immune resistance and sources of immunosuppression. Gene Ther Mol Biol. 2006;10(A):133-146. PubMed 16810329 ↗
  • Hawighorst H, Knopp MV, Debus J, Hoffmann U, Grandy M, Griebel J, Zuna I, Essig M, Schoenberg SO, DeVries A, Brix G, van Kaick G. Pharmacokinetic MRI for assessment of malignant glioma response to stereotactic radiotherapy: initial results. J Magn Reson Imaging. 1998 Jul-Aug;8(4):783-8. doi: 10.1002/jmri.1880080406. PubMed 9702878 ↗
  • Heesters MA, Kamman RL, Mooyaart EL, Go KG. Localized proton spectroscopy of inoperable brain gliomas. Response to radiation therapy. J Neurooncol. 1993 Jul;17(1):27-35. doi: 10.1007/BF01054271. PubMed 8120569 ↗
  • Hewitt R, Watson PH, Dhir R, Aamodt R, Thomas G, Mercola D, Grizzle WE, Morente MM. Timing of consent for the research use of surgically removed tissue: is postoperative consenting acceptable? Cancer. 2009 Jan 1;115(1):4-9. doi: 10.1002/cncr.23999. No abstract available. PubMed 19090013 ↗
  • Hoskin PJ, Saunders MI, Goodchild K, Powell ME, Taylor NJ, Baddeley H. Dynamic contrast enhanced magnetic resonance scanning as a predictor of response to accelerated radiotherapy for advanced head and neck cancer. Br J Radiol. 1999 Nov;72(863):1093-8. doi: 10.1259/bjr.72.863.10700827. PubMed 10700827 ↗
  • Huhn SL, Mohapatra G, Bollen A, Lamborn K, Prados MD, Feuerstein BG. Chromosomal abnormalities in glioblastoma multiforme by comparative genomic hybridization: correlation with radiation treatment outcome. Clin Cancer Res. 1999 Jun;5(6):1435-43. PubMed 10389929 ↗
  • Huisman TA, Schwamm LH, Schaefer PW, Koroshetz WJ, Shetty-Alva N, Ozsunar Y, Wu O, Sorensen AG. Diffusion tensor imaging as potential biomarker of white matter injury in diffuse axonal injury. AJNR Am J Neuroradiol. 2004 Mar;25(3):370-6. PubMed 15037457 ↗
  • Kmiecik J, Poli A, Brons NH, Waha A, Eide GE, Enger PO, Zimmer J, Chekenya M. Elevated CD3+ and CD8+ tumor-infiltrating immune cells correlate with prolonged survival in glioblastoma patients despite integrated immunosuppressive mechanisms in the tumor microenvironment and at the systemic level. J Neuroimmunol. 2013 Nov 15;264(1-2):71-83. doi: 10.1016/j.jneuroim.2013.08.013. Epub 2013 Aug 31. PubMed 24045166 ↗
  • Lin S, Yu W, Wang B, Zhao Y, En K, Zhu J, Cheng X, Zhou C, Lin H, Wang Z, Hojaiji H, Yeung C, Milla C, Davis RW, Emaminejad S. Noninvasive wearable electroactive pharmaceutical monitoring for personalized therapeutics. Proc Natl Acad Sci U S A. 2020 Aug 11;117(32):19017-19025. doi: 10.1073/pnas.2009979117. Epub 2020 Jul 27. PubMed 32719130 ↗
  • Malmberg KJ, Ljunggren HG. Escape from immune- and nonimmune-mediated tumor surveillance. Semin Cancer Biol. 2006 Feb;16(1):16-31. doi: 10.1016/j.semcancer.2005.07.007. Epub 2005 Sep 2. PubMed 16140546 ↗
  • Helfer JL, Wen PY, Blakeley J, Gilbert MR, Armstrong TS. Report of the Jumpstarting Brain Tumor Drug Development Coalition and FDA clinical trials clinical outcome assessment endpoints workshop (October 15, 2014, Bethesda MD). Neuro Oncol. 2016 Mar;18 Suppl 2(Suppl 2):ii26-ii36. doi: 10.1093/neuonc/nov270. PubMed 26989130 ↗
  • Nelson BW, Allen NB. Accuracy of Consumer Wearable Heart Rate Measurement During an Ecologically Valid 24-Hour Period: Intraindividual Validation Study. JMIR Mhealth Uhealth. 2019 Mar 11;7(3):e10828. doi: 10.2196/10828. PubMed 30855232 ↗
  • Prendergast CT, Anderton SM. Immune cell entry to central nervous system--current understanding and prospective therapeutic targets. Endocr Metab Immune Disord Drug Targets. 2009 Dec;9(4):315-27. doi: 10.2174/187153009789839219. PubMed 20028334 ↗
  • Schmitt P, Kotas M, Tobermann A, Haase A, Flentje M. Quantitative tissue perfusion measurements in head and neck carcinoma patients before and during radiation therapy with a non-invasive MR imaging spin-labeling technique. Radiother Oncol. 2003 Apr;67(1):27-34. doi: 10.1016/s0167-8140(03)00024-0. PubMed 12758237 ↗
  • Stehlik J, Schmalfuss C, Bozkurt B, Nativi-Nicolau J, Wohlfahrt P, Wegerich S, Rose K, Ray R, Schofield R, Deswal A, Sekaric J, Anand S, Richards D, Hanson H, Pipke M, Pham M. Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization: The LINK-HF Multicenter Study. Circ Heart Fail. 2020 Mar;13(3):e006513. doi: 10.1161/CIRCHEARTFAILURE.119.006513. Epub 2020 Feb 25. PubMed 32093506 ↗
  • Thomson EA, Nuss K, Comstock A, Reinwald S, Blake S, Pimentel RE, Tracy BL, Li K. Heart rate measures from the Apple Watch, Fitbit Charge HR 2, and electrocardiogram across different exercise intensities. J Sports Sci. 2019 Jun;37(12):1411-1419. doi: 10.1080/02640414.2018.1560644. Epub 2019 Jan 18. PubMed 30657025 ↗

Individual participant data

Plan to share: Undecided

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 21, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05106725
Lead sponsor
CureScience
Responsible party
Sponsor
First posted
Nov 4, 2021
Start date
Oct 11, 2021
Primary completion
Dec 31, 2025 (estimated)
Completion
Dec 31, 2025 (estimated)
Last update
Aug 21, 2024

Study contacts

Amanda Wilburn
Contact
awilburn@curescience.orgg
8588002873
Feng Lin, MD PhD
principal investigator · CureScience

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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