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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 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:
|
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| PrecogColo Dx test | Diagnostic Test | the serum metabolite based PrecogColo Dx test for advanced colorectal neoplasia Screening, including advanced adenoma and colorectal cancer |
|
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
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Inclusion Criteria:
Exclusion Criteria:
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:
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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.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| shigang ding, doctor | Contact | 15611908241 | dingshigang222@163.com |
| Name | Affiliation | Role |
|---|---|---|
| shigang ding, doctor | Peking University Third Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Beijing Huaxin Hospital | Recruiting | Beijing | Beijing Municipality | 100016 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30207593 | Background | 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. | |
| 25687380 | Background | 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. |
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| ID | Term |
|---|---|
| D015179 | Colorectal Neoplasms |
| ID | Term |
|---|---|
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
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serum samples
| Cancer Hospital Chinese Academy of Medical Science | Recruiting | Beijing | Beijing Municipality | 100021 | China |
|
| China-Japan Friendship Hospital | Recruiting | Beijing | Beijing Municipality | 100029 | China |
|
| Aerospace Center Hospital | Recruiting | Beijing | Beijing Municipality | 100049 | China |
|
| Beijing haidian hospital | Recruiting | Beijing | Beijing Municipality | 100080 | China |
|
| Peking university third hospital | Recruiting | Beijing | Beijing Municipality | 100191 | China |
|
| 27733426 | Background | 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. |
| 31850933 | Background | 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. |
| 32968260 | Background | 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. |
| 31171880 | Background | 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. |
| 34462336 | Background | 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. |
| D009369 | Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |