Brain CancerNCT05106725
Wearable Devices and Biomarkers Project (Healthiomics)
An observational study of Brain Cancer and Neurological Disorder, run by CureScience at 1 site in United States.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Brain Cancer, Neurological Disorder, Neurological Cancer
- How many people
- 3,500 participants
- Where
- 1 siteUnited States
- Study dates
- 11 Oct 2021to 31 Dec 2025
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
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.
Who may be able to join
- 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:
- 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
- Has a neurological disorder, or is under evaluation for a possible diagnosis of a neurological disorder; OR
- Does not meet the characteristic of either a. or b. above. This participant would be considered a "healthy control" for cancer and neurological disorders.
Who cannot join
- Participant or participant's legally authorized representative is unable to provide informed consent.
Trial locations and contacts
1 site in 1 country.
United States1 site, 1 recruiting
- Recruiting
CureScience Institute
San Diego, California, 92121
Shashaanka Ashili, PhD
Feng Lin, MD PhD
About this study
Official title: Study of Clinical Biomarkers in Human Health and Disease (Healthiomics)
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.
- Conditions
- Brain Cancer, Neurological Disorder, Neurological Cancer
- Keywords
- wearables, digital health, biospecimens
- Medical subject headings
- Brain Neoplasms, Nervous System Diseases, Central Nervous System Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| 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. |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 4 years
Secondary outcomes (2)
Specimen and data analysis
To perform multi-modality analysis of specimens for biomarker discovery.
Measured: 4 years
Collaboration
To make specimens and data available to collaborating investigators performing IRB-approved research of cancer or neurological disorders.
Measured: 4 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 Nov 2021
- Study start11 Oct 2021
- Primary completion31 Dec 2025 (estimated)
- Study completion31 Dec 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (21)Papers the sponsor has linked to this study.
- Other trials for Brain CancerStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Prospective
- Enrolment
- 3,500 participants (estimated)
Sponsor and investigators
- Lead sponsor
- CureScience
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Feng Lin, MD PhD, Principal investigator, CureScience
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05106725
- Sponsor's protocol ID
- CSI-01-0706
- Status last verified
- Aug 2024
- First submitted
- 11 Oct 2021
- Last updated
- 21 Aug 2024
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
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 32047863Braun 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 24749877Chen 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 17704239Fulham 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 1438744Gillinov 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 28709155Gomez GG, Kruse CA. Mechanisms of malignant glioma immune resistance and sources of immunosuppression. Gene Ther Mol Biol. 2006;10(A):133-146.
PubMed 16810329Hawighorst 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 9702878Heesters 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 8120569Hewitt 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 19090013Hoskin 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 10700827Huhn 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 10389929Huisman 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 15037457Kmiecik 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 24045166Lin 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 32719130Malmberg 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
Study at a glance
From the registry record, last updated by the sponsor on 21 Aug 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Study of Clinical Biomarkers in Human Health and Disease (Healthiomics)
- ClinicalTrials.gov ID
- NCT05106725
- Acronym / sponsor ID
- CSI-01-0706
- Conditions
- Brain Cancer, Neurological Disorder, Neurological Cancer
- Keywords
- wearables, digital health, biospecimens
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 3,500 participants (estimated)
- Lead sponsor
- CureScienceUniversity, hospital or other
- Study start
- 11 Oct 2021 (actual)
- Primary completion
- 31 Dec 2025 (estimated)
- Study completion
- 31 Dec 2025 (estimated)
- First posted
- 4 Nov 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
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.
Study design
- Observational model
- Case-control
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| 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. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- 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.
Key inclusion criteria (7 listed)
- 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:
Key exclusion criteria (1 listed)
- Participant or participant's legally authorized representative is unable to provide informed consent.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Specimen and data storage
Time frame: 4 years
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.
2 secondary outcomes
Specimen and data analysis
Time frame: 4 years
Collaboration
Time frame: 4 years
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 21 Aug 2024.
- Background: PubMed 32047863Bent 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.
- Background: PubMed 24749877Braun 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.
- Background: PubMed 17704239Chen 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.
- Background: PubMed 1438744Fulham 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.
- Background: PubMed 28709155Gillinov 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.
- Background: PubMed 16810329Gomez GG, Kruse CA. Mechanisms of malignant glioma immune resistance and sources of immunosuppression. Gene Ther Mol Biol. 2006;10(A):133-146.
- Background: PubMed 9702878Hawighorst 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.
- Background: PubMed 8120569Heesters 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.
- Background: PubMed 19090013Hewitt 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.
- Background: PubMed 10700827Hoskin 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.
- Background: PubMed 10389929Huhn 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.
- Background: PubMed 15037457Huisman 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.
- CureScience websiteLink provided by the sponsor.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Feng Lin, MD PhD principal investigator
CureScience
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Brain Cancer and Neurological Disorder, run by CureScience at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 21 Aug 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Amanda Wilburn (8588002873, awilburn@curescience.orgg), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Specimen and data storage (time frame: 4 years). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05106725, which also lists 21 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 21 Aug 2024.