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Multicenter Study on Diagnostic Performance of Multi-Cancer using Machine Learning Models with Urinary Biomarkers

Multicenter Study on Diagnostic Performance of Multi-Cancer using Machine Learning Models with Urinary Biomarkers - Multicenter Study on Diagnostic Performance of Multi-Cancer using Machine Learning Models with Urinary Biomarkers

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000057434
Enrollment
2200
Registered
2025-03-28
Start date
2024-12-01
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pancreatic cancer, lung cancer, breast cancer, colorectal cancer, gastric cancer, esophageal cancer, ovarian cancer, kidney cancer, urothelial cancer, prostate cancer, cervical cancer, uterine cancer, liver cancer, gallbladder and bile duct cancer, head and neck cancer, hematological malignancies

Interventions

None listed

Sponsors

Craif Inc.
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: [For cancer patients] To participate in this study, you must meet all of the following criteria (1) through (4). (1) Be 18 years of age or older as of the date of signing the consent form. (2) The patient is able to obtain written consent for participation in this study based on the free will of the patient or a surrogate, using a consent document approved by the Ethical Review Committee of the respective research institution. (3) The patient has been diagnosed with one of the following cancers, the primary site of which is known. The histological type and stage of the cancer are not questioned. Pancreatic cancer, lung cancer, breast cancer, colorectal cancer, stomach cancer, esophageal cancer, ovarian cancer, kidney cancer, urothelial carcinoma, prostate cancer, cervical cancer, uterine cancer, liver cancer, gallbladder and bile duct cancer, head and neck cancer (any site), hematopoietic tumor (malignant lymphoma, leukemia, multiple myeloma) (4) There is no history of treatment for cancer at the time the urine specimen is collected. [For healthy adults] To participate in this study, you must meet all of the following criteria (1) through (3). (1) Japanese nationals who are between 40 and 90 years of age on the date of signing the consent form. (2) The individual or surrogate is able to obtain written consent for participation in this study based on his/her own free will using a consent document approved by the ethics review committee of the respective research institution, etc. (3) Persons who are judged by a physician to be in good health based on a medical evaluation including history, physical examination, vital signs (blood pressure, pulse rate), and clinical laboratory values.

Exclusion criteria

Exclusion criteria: Persons who meet any of the following criteria (1) through (6) at the time of specimen collection will not be included in this study. (1) Women who are pregnant or may become pregnant. (2) Women who are menstruating at the time of scheduled urine sample collection. (3) Those with a history of malignancy within the past 5 years. (4) Patients with multiple cancers whose primary tumor is located in more than one organ. (5) Who are currently participating in an interventional study (including a clinical trial) other than this study. (6) Any other person who is deemed inappropriate by the investigator.

Design outcomes

Primary

MeasureTime frame
(1) miRNA expression level or (2) DNA methylation rate will be measured and the performance of the prediction model constructed by machine learning using these as features will be evaluated. The diagnostic performance for each cancer type will be evaluated based on statistics such as AUC value, sensitivity and specificity. As other biomarkers in urine are still in the exploratory stage, specific evaluation will be conducted from the setting of specific evaluation contents.

Secondary

MeasureTime frame
This study is a non-interventional clinical research, and there are no health risks to the study participants. Therefore, no information regarding safety is collected.

Countries

Japan

Contacts

Public ContactMotoki Mikami

Craif Inc. Clinical Development

clinicaltrial@craif.com03-6801-8334

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026