the Serum Metabolite Based PrecogColo Dx Test for Advanced Colorectal Neoplasia Screening
Evaluation of the Serum Metabolite Based PrecogColo Dx Test for Advanced Colorectal Neoplasia Screening
1 other identifier
observational
2,000
1 country
6
Brief Summary
This study is to Evaluate the diagnostic sensitivity of the serum metabolite based PrecogColo Dx test for advanced colorectal neoplasia Screening, including advanced adenoma and colorectal cancer. There are two steps in this study. Firstly, the diagnostic model is established based on tumor-specific and gut-microbiome related serum metabolites. Secondly, the sensitivity, specificity and accuracy of the diagnostic model is evaluated in detecting advanced adenoma and colorectal cancer stages in an independent multi-centered cohort.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Apr 2023
Shorter than P25 for all trials
6 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 30, 2023
CompletedFirst Submitted
Initial submission to the registry
May 12, 2023
CompletedFirst Posted
Study publicly available on registry
May 23, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 27, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
February 27, 2024
CompletedMay 23, 2023
April 1, 2023
10 months
May 12, 2023
May 12, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Primary Effectiveness Evaluations
Lower bound of the 95% one-sided confidence interval of PrecogColo Dx Sensitivity for CRC was greater than 65%, and lower bound of the 95% one-sided confidence interval of PrecogColo Dx specificity for non-advanced neoplasia (including normal, non-adenomas polyps and low risk adenoma) was greater than 85%.
2 weeks
Study Arms (2)
negative
normal:no findings on colonoscopy hyperplastic polyps: inflammatory or hyperplastic polyps low-risk adenoma:1 or 2 adenoma(s), ≤10 mm in size, non-advanced
Positive
advanced adenoma Advance adenoma, including the following subcategories: * Adenoma with carcinoma in situ/high grade dysplasia, any size * Adenoma, villous growth pattern (\>25%), any size * Adenoma \> 1.0 cm in size * Serrated lesion, \> 1.0 cm in size early stage CRC: CRC stage I advanced stage CRC: CRC stage II-IV
Interventions
the serum metabolite based PrecogColo Dx test for advanced colorectal neoplasia Screening, including advanced adenoma and colorectal cancer
Eligibility Criteria
Subjects 45 years of age and older who are eligible for colorectal cancer screening and scheduled for a screening colonoscopy. Approximately 2,000 subjects will be targeted for enrollment.
You may qualify if:
- Subject is ≥ 45 years of age at the time of enrollment.
- Subject presents for a screening colonoscopy.
- Subject has no symptoms or signs that require immediate, or near term, referral for diagnostic or therapeutic colonoscopy.
- Subject is able and willing to sign informed consent.
You may not qualify if:
- Patients received tumor treatment prior to the drawn of blood sample, including surgical resection, neoadjuvant chemotherapy, neoadjuvant chemoradiotherapy and targeted therapy.
- Patients received antibiotics within 2 weeks.
- Patients with indications of emergency surgery, including bleeding, obstruction and perforation.
- Patients who are positive for Human Immunodeficiency Virus (HIV).
- Patients with abnormal liver and kidney function.
- Patients with the history of inflammatory bowel disease.
- Patients who had history of other malignancies.
- Subject has a diagnosis or medical history of any of the following conditions:
- Familial adenomatous polyposis (also referred to as "FAP", including attenuated FAP and Gardner's syndrome)
- Hereditary non-polyposis CRC syndrome (also referred to as "HNPCC" or "Lynch Syndrome")
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (6)
Beijing Huaxin Hospital
Beijing, Beijing Municipality, 100016, China
Cancer Hospital Chinese Academy of Medical Science
Beijing, Beijing Municipality, 100021, China
China-Japan Friendship Hospital
Beijing, Beijing Municipality, 100029, China
Aerospace Center Hospital
Beijing, Beijing Municipality, 100049, China
Beijing haidian hospital
Beijing, Beijing Municipality, 100080, China
Peking university third hospital
Beijing, Beijing Municipality, 100191, China
Related Publications (7)
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018 Nov;68(6):394-424. doi: 10.3322/caac.21492. Epub 2018 Sep 12.
PMID: 30207593BACKGROUNDVatandoost N, Ghanbari J, Mojaver M, Avan A, Ghayour-Mobarhan M, Nedaeinia R, Salehi R. Early detection of colorectal cancer: from conventional methods to novel biomarkers. J Cancer Res Clin Oncol. 2016 Feb;142(2):341-51. doi: 10.1007/s00432-015-1928-z. Epub 2015 Feb 17.
PMID: 25687380BACKGROUNDDoubeni CA, Corley DA, Quinn VP, Jensen CD, Zauber AG, Goodman M, Johnson JR, Mehta SJ, Becerra TA, Zhao WK, Schottinger J, Doria-Rose VP, Levin TR, Weiss NS, Fletcher RH. Effectiveness of screening colonoscopy in reducing the risk of death from right and left colon cancer: a large community-based study. Gut. 2018 Feb;67(2):291-298. doi: 10.1136/gutjnl-2016-312712. Epub 2016 Oct 12.
PMID: 27733426BACKGROUNDNiedermaier T, Balavarca Y, Brenner H. Stage-Specific Sensitivity of Fecal Immunochemical Tests for Detecting Colorectal Cancer: Systematic Review and Meta-Analysis. Am J Gastroenterol. 2020 Jan;115(1):56-69. doi: 10.14309/ajg.0000000000000465.
PMID: 31850933BACKGROUNDJanney A, Powrie F, Mann EH. Host-microbiota maladaptation in colorectal cancer. Nature. 2020 Sep;585(7826):509-517. doi: 10.1038/s41586-020-2729-3. Epub 2020 Sep 23.
PMID: 32968260BACKGROUNDYachida S, Mizutani S, Shiroma H, Shiba S, Nakajima T, Sakamoto T, Watanabe H, Masuda K, Nishimoto Y, Kubo M, Hosoda F, Rokutan H, Matsumoto M, Takamaru H, Yamada M, Matsuda T, Iwasaki M, Yamaji T, Yachida T, Soga T, Kurokawa K, Toyoda A, Ogura Y, Hayashi T, Hatakeyama M, Nakagama H, Saito Y, Fukuda S, Shibata T, Yamada T. Metagenomic and metabolomic analyses reveal distinct stage-specific phenotypes of the gut microbiota in colorectal cancer. Nat Med. 2019 Jun;25(6):968-976. doi: 10.1038/s41591-019-0458-7. Epub 2019 Jun 6.
PMID: 31171880BACKGROUNDChen F, Dai X, Zhou CC, Li KX, Zhang YJ, Lou XY, Zhu YM, Sun YL, Peng BX, Cui W. Integrated analysis of the faecal metagenome and serum metabolome reveals the role of gut microbiome-associated metabolites in the detection of colorectal cancer and adenoma. Gut. 2022 Jul;71(7):1315-1325. doi: 10.1136/gutjnl-2020-323476. Epub 2021 Aug 30.
PMID: 34462336BACKGROUND
Biospecimen
serum samples
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
shigang ding, doctor
Peking University Third Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 12, 2023
First Posted
May 23, 2023
Study Start
April 30, 2023
Primary Completion
February 27, 2024
Study Completion
February 27, 2024
Last Updated
May 23, 2023
Record last verified: 2023-04