An observational study in Cancer, Patients With Clinical and Environmental Risk Factors for Cancer and Patients With a Suspected or Confirmed Diagnosis of Cancer, sponsored by Greater Baltimore Medical Center. Withdrawn at 1 site in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2020-07-22.
Sponsored by Greater Baltimore Medical Center · Observational
PRECISE is a study to discover new detection, prognosis and treatment biomarkers for cancer. This is a prospective, multi-center, observational study designed to collect de-identified biospecimens and clinical data from a large cohort of participants from clinical research networks in the United States. In this study, the investigators propose creating a large-scale normalized panomics dataset specifically designed for deep learning-based in silico analysis for biomarker discovery.
This study will enroll all subjects who are eligible and willing to participate with a goal of enrolling at least 10,000 in several categories: (i) Patients with Family History of Cancer, (ii) Patients with Clinical and Environmental Risk Factors for Cancer, and (iii) Patients with a Suspected or Confirmed Diagnosis of Cancer.
Patients with Family History of Cancer
Either of the following:
The patient has signed the appropriate Institutional Review Board approved Informed Consent Form
Patients with Clinical \& Environmental Risk Factors for Cancer
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Either of the following:
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Either of the following:
Exclusion Criteria:
Hereditary cancer genetic screening based on risk factors
Other: Patients with CA or suspected risk of CA or a family Hx
No dx of CA
Other: Patients with CA or suspected risk of CA or a family Hx
Suspected or confirmed diagnosis of cancer
Other: Patients with CA or suspected risk of CA or a family Hx
Patients with Family History of Cancer, (ii) Patients with Clinical and Environmental Risk Factors for Cancer, (iii) Patients with a Suspected or Confirmed Diagnosis of Cancer.
Panomics Relationships in the Epidemiology of Cancer through In Silico Expression (PRECISE)
* Establish and maintain a unique repository of blood, tissue, other biological samples and their associated data (survey data, medical records data, cancer registry data, and other related data) collected from thousands of patients 18 years of age or older who have cancer or are at risk of developing cancer. * Discover and validate new detection, prognosis and treatment biomarkers for cancer
Time frame: 5 years
Panomics Relationships in the Epidemiology of Cancer through In Silico Expression (PRECISE)
● Determine candidate genes and markers underlying cancer and response to treatment.
Time frame: 5 years
Panomics Relationships in the Epidemiology of Cancer through In Silico Expression (PRECISE)
● Discover and validate new detection, prognosis and treatment biomarkers for cancer
Time frame: 5 years
This study is withdrawn, as verified in Jul 2020. You cannot join it, but the record below documents what was studied.
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Greater Baltimore Medical Center