| Unique ID issued by UMIN | UMIN000057434 |
|---|---|
| Receipt number | R000065625 |
| Scientific Title | Multicenter Study on Diagnostic Performance of Multi-Cancer using Machine Learning Models with Urinary Biomarkers |
| Date of disclosure of the study information | 2025/03/28 |
| Last modified on | 2025/08/19 15:40:57 |
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
Multicenter Study on Diagnostic Performance of Multi-Cancer using Machine Learning Models with Urinary Biomarkers
| Japan |
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
| Gastroenterology | Hepato-biliary-pancreatic medicine | Pneumology |
| Hematology and clinical oncology | Nephrology | Gastrointestinal surgery |
| Hepato-biliary-pancreatic surgery | Chest surgery | Breast surgery |
| Urology | Oral surgery | Laboratory medicine |
| Adult |
Malignancy
NO
1. miRNA Analysis
miRNA profiles obtained from urine samples of each cancer patient and healthy adults will be comprehensively analyzed to evaluate the relevance to clinical information obtained in usual medical practice.
2. DNA methylation Analysis
Methylation patterns of cfDNA extracted from urine samples of each cancer patient and healthy adults will be comprehensively analyzed to evaluate the relevance to clinical information obtained in usual medical practice.
Others
Exploratory Analysis of Other Urinary Biomarkers
We measured and analyzed other biomarkers (such as nucleic acids, proteins, metabolites, urinary constituents, etc.) extracted from urine specimens of various cancer patients and healthy adults, and evaluated their correlation with clinical information obtained from routine examinations.
Others
Others
Not applicable
(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.
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.
Observational
| 18 | years-old | <= |
| Not applicable |
Male and Female
[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.
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.
2200
| 1st name | Yuki |
| Middle name | |
| Last name | Ichikawa |
Craif Inc.
Chief Technology Officer
162-0814
B1F THE PORTAL iidabashi, 8-30 Shin-ogawamachi, Shinjuku-ku, Tokyo 162-0814, Japan
03-6801-8334
clinicaltrial@craif.com
| 1st name | Motoki |
| Middle name | |
| Last name | Mikami |
Craif Inc.
Clinical Development
162-0814
B1F THE PORTAL iidabashi, 8-30 Shin-ogawamachi, Shinjuku-ku, Tokyo 162-0814, Japan
03-6801-8334
clinicaltrial@craif.com
Craif Inc.
Craif Inc.
Profit organization
Craif Institutional Review Board
B1F THE PORTAL iidabashi, 8-30 Shin-ogawamachi, Shinjuku-ku, Tokyo 162-0814, Japan
03-6801-8334
clinicaltrial@craif.com
NO
| 2025 | Year | 03 | Month | 28 | Day |
Unpublished
Open public recruiting
| 2024 | Year | 10 | Month | 07 | Day |
| 2024 | Year | 11 | Month | 01 | Day |
| 2024 | Year | 12 | Month | 01 | Day |
| 2026 | Year | 12 | Month | 31 | Day |
| 2026 | Year | 12 | Month | 31 | Day |
| 2026 | Year | 12 | Month | 31 | Day |
Observational study
| 2025 | Year | 03 | Month | 28 | Day |
| 2025 | Year | 08 | Month | 19 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000065625