the Serum Metabolite Based PrecogColo Dx Test for Advanced Colorectal Neoplasia Screening

NCT ID: NCT05870696

Last Updated: 2023-05-23

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

2000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-04-30

Study Completion Date

2024-02-27

Brief Summary

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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.

Detailed Description

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Subjects aged \>45 at average risk for development of CRC will be enrolled. Subjects will complete the PrecogColo Dx test, followed by completion of a screening colonoscopy. . Results from PrecogColo Dx test were compared to the results of an optical colonoscopic examination, and histopathological diagnosis of all significant lesions discovered during the colonoscopy, in order to determine the sensitivity for CRC and advanced adenoma, respectively, as well as determining specificity of non-advanced neoplasia individuals. Histopathological results from biopsied tissue or excised lesions were categorized based on the most clinically significant lesion present by a central pathologist.

Conditions

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Colorectal Adenoma

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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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

PrecogColo Dx test

Intervention Type DIAGNOSTIC_TEST

the serum metabolite based PrecogColo Dx test for advanced colorectal neoplasia Screening, including advanced adenoma and colorectal cancer

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

PrecogColo Dx test

Intervention Type DIAGNOSTIC_TEST

the serum metabolite based PrecogColo Dx test for advanced colorectal neoplasia Screening, including advanced adenoma and colorectal cancer

Interventions

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PrecogColo Dx test

the serum metabolite based PrecogColo Dx test for advanced colorectal neoplasia Screening, including advanced adenoma and colorectal cancer

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

1. Subject is ≥ 45 years of age at the time of enrollment.
2. Subject presents for a screening colonoscopy.
3. Subject has no symptoms or signs that require immediate, or near term, referral for diagnostic or therapeutic colonoscopy.
4. Subject is able and willing to sign informed consent.

Exclusion Criteria

1. Patients received tumor treatment prior to the drawn of blood sample, including surgical resection, neoadjuvant chemotherapy, neoadjuvant chemoradiotherapy and targeted therapy.
2. Patients received antibiotics within 2 weeks.
3. Patients with indications of emergency surgery, including bleeding, obstruction and perforation.
4. Patients who are positive for Human Immunodeficiency Virus (HIV).
5. Patients with abnormal liver and kidney function.
6. Patients with the history of inflammatory bowel disease.
7. Patients who had history of other malignancies.
8. Subject has a diagnosis or medical history of any of the following conditions:

1. Familial adenomatous polyposis (also referred to as "FAP", including attenuated FAP and Gardner's syndrome)
2. Hereditary non-polyposis CRC syndrome (also referred to as "HNPCC" or "Lynch Syndrome")
Minimum Eligible Age

45 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Peking University Third Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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shigang ding, doctor

Role: PRINCIPAL_INVESTIGATOR

Peking University Third Hospital

Locations

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Beijing Huaxin Hospital

Beijing, Beijing Municipality, China

Site Status RECRUITING

Cancer Hospital Chinese Academy of Medical Science

Beijing, Beijing Municipality, China

Site Status RECRUITING

China-Japan Friendship Hospital

Beijing, Beijing Municipality, China

Site Status RECRUITING

Aerospace Center Hospital

Beijing, Beijing Municipality, China

Site Status RECRUITING

Beijing haidian hospital

Beijing, Beijing Municipality, China

Site Status RECRUITING

Peking university third hospital

Beijing, Beijing Municipality, China

Site Status RECRUITING

Countries

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China

Central Contacts

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shigang ding, doctor

Role: CONTACT

15611908241

Facility Contacts

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yanli cheng, doctor

Role: primary

wei pei, doctor

Role: primary

shiyu du, doctor

Role: primary

13911531937

yuanmin zhu, doctor

Role: primary

13811634389

yinyan guo, doctor

Role: primary

Ming Zu, doctor

Role: primary

15210325676

shigang Ding, doctor

Role: backup

15611908241

References

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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.

Reference Type BACKGROUND
PMID: 30207593 (View on PubMed)

Vatandoost 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.

Reference Type BACKGROUND
PMID: 25687380 (View on PubMed)

Doubeni 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.

Reference Type BACKGROUND
PMID: 27733426 (View on PubMed)

Niedermaier 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.

Reference Type BACKGROUND
PMID: 31850933 (View on PubMed)

Janney 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.

Reference Type BACKGROUND
PMID: 32968260 (View on PubMed)

Yachida 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.

Reference Type BACKGROUND
PMID: 31171880 (View on PubMed)

Chen 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.

Reference Type BACKGROUND
PMID: 34462336 (View on PubMed)

Other Identifiers

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PekingUTH-ding36

Identifier Type: -

Identifier Source: org_study_id

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