NCT04302363

Brief Summary

Introduction: Colorectal cancer (CRC) has the third highest incidence rate and the fourth mortality rate in the world. Traditional colonoscopy as an invasive examination method cannot be widely used in screening for colorectal neoplasia. The fecal immunochemical test has some limitations in sensitivity. Also, race and regional differences may affect results. Abnormality in the composition of the gut microbiota has been implicated as a potentially important etiologic factor in the initiation and progression of colorectal cancer. Analyzing fecal flora and exfoliated cell genes may represent a new screening tool for colorectal cancer.This research aims to use 16S rRNA to compare differences in fecal flora between colorectal cancer patients and healthy controls. These data combined with DNA findings of fecal exfoliated cells may further clarify this difference to build a model for screening early colorectal cancer in Chinese people. Methods and analysis: In total, 300 patients with positive colonoscopy results and 200 health controls will be recruited. All participants will complete an information form and questionnaires. Fecal samples will be examined by 16S rRNA analysis. Gene methylation levels will be detected in fecal exfoliated cells. Models of related intestinal microbiota and methylation genes will be built. Receiver operating characteristic (ROC) curve analysis will be used to select some models with appropriate sensitivity and specificity.The models will be further validated by multicenter studys.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
500

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Feb 2018

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

February 1, 2018

Completed
1.8 years until next milestone

First Submitted

Initial submission to the registry

November 5, 2019

Completed
4 months until next milestone

First Posted

Study publicly available on registry

March 10, 2020

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2020

Completed
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2021

Completed
Last Updated

March 10, 2020

Status Verified

March 1, 2020

Enrollment Period

2.8 years

First QC Date

November 5, 2019

Last Update Submit

March 6, 2020

Conditions

Keywords

Gastrointestinal MicrobiomeDNA MethylationColorectal NeoplasmsStoolbiomaker

Outcome Measures

Primary Outcomes (1)

  • Diagnostic efficacy of colorectal cancer model in Chinese people

    the difference in intestinal flora and gene methylation between CRC patients and healthy individuals.

    2 years

Secondary Outcomes (1)

  • Effect of diet on intestinal flora and DNA methylation in Chinese people

    3 years

Other Outcomes (2)

  • Effect of cholecystectomy on intestinal flora and methylation

    3 years

  • Effects of intestinal microflora and DNA methylation under different stool characteristics

    3 years-4years

Study Arms (2)

Control Group

Healthy controls must be 18-75 years old with no tumors and no history of cancer.

Other: Fecal microbiota detection and exfoliated cell gene detection

Test Group

Inclusion criteria in the experimental group are age 18-75 years old, colonoscopy revealing colon or rectal tumor, biopsy-confirmed adenocarcinoma or adenoma, no chemotherapy or surgery, and no history of other cancer. Both groups must be able to understand and be willing to sign informed consent.

Other: Fecal microbiota detection and exfoliated cell gene detection

Interventions

Fecal microbiota detection and exfoliated cell gene detection

Control GroupTest Group

Eligibility Criteria

Age18 Years - 75 Years
Sexall
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

This program was performed in Xiangya Hospital(Still recruiting), Changsha, Hunan, China. Only participants who received a colonoscopy were enrolled

You may qualify if:

  • colonoscopy revealing colon or rectal tumor and biopsy-confirmed adenocarcinoma or adenoma.
  • no chemotherapy or surgery, and no history of other cancer.
  • must be able to understand and be willing to sign informed consent.
  • Healthy controls don't have tumors and history of cancer.

You may not qualify if:

  • Those who not willing to provide specimens or answer questionnaires before the study began.
  • People whose stool samples does not meet the requirements.
  • People who are unwilling to sign written informed consent or follow a research protocol.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Xiangya Hospital of Central South University

Changsha, Hunan, 410000, China

RECRUITING

Related Publications (19)

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  • Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, Jemal A, Yu XQ, He J. Cancer statistics in China, 2015. CA Cancer J Clin. 2016 Mar-Apr;66(2):115-32. doi: 10.3322/caac.21338. Epub 2016 Jan 25.

  • Varghese C, Shin HR. Strengthening cancer control in China. Lancet Oncol. 2014 Apr;15(5):484-5. doi: 10.1016/S1470-2045(14)70056-7. No abstract available.

  • Wang YX, Zhu N, Zhang CJ, Wang YK, Wu HT, Li Q, Du K, Liao DF, Qin L. Friend or foe: Multiple roles of adipose tissue in cancer formation and progression. J Cell Physiol. 2019 Dec;234(12):21436-21449. doi: 10.1002/jcp.28776. Epub 2019 May 3.

  • Siegel RL, Miller KD, Fedewa SA, Ahnen DJ, Meester RGS, Barzi A, Jemal A. Colorectal cancer statistics, 2017. CA Cancer J Clin. 2017 May 6;67(3):177-193. doi: 10.3322/caac.21395. Epub 2017 Mar 1.

  • Hewitson P, Glasziou P, Watson E, Towler B, Irwig L. Cochrane systematic review of colorectal cancer screening using the fecal occult blood test (hemoccult): an update. Am J Gastroenterol. 2008 Jun;103(6):1541-9. doi: 10.1111/j.1572-0241.2008.01875.x. Epub 2008 May 13.

  • Sung JJ, Lau JY, Young GP, Sano Y, Chiu HM, Byeon JS, Yeoh KG, Goh KL, Sollano J, Rerknimitr R, Matsuda T, Wu KC, Ng S, Leung SY, Makharia G, Chong VH, Ho KY, Brooks D, Lieberman DA, Chan FK; Asia Pacific Working Group on Colorectal Cancer. Asia Pacific consensus recommendations for colorectal cancer screening. Gut. 2008 Aug;57(8):1166-76. doi: 10.1136/gut.2007.146316.

  • Lee JK, Liles EG, Bent S, Levin TR, Corley DA. Accuracy of fecal immunochemical tests for colorectal cancer: systematic review and meta-analysis. Ann Intern Med. 2014 Feb 4;160(3):171. doi: 10.7326/M13-1484.

  • Liang Q, Chiu J, Chen Y, Huang Y, Higashimori A, Fang J, Brim H, Ashktorab H, Ng SC, Ng SSM, Zheng S, Chan FKL, Sung JJY, Yu J. Fecal Bacteria Act as Novel Biomarkers for Noninvasive Diagnosis of Colorectal Cancer. Clin Cancer Res. 2017 Apr 15;23(8):2061-2070. doi: 10.1158/1078-0432.CCR-16-1599. Epub 2016 Oct 3.

  • Carmona FJ, Azuara D, Berenguer-Llergo A, Fernandez AF, Biondo S, de Oca J, Rodriguez-Moranta F, Salazar R, Villanueva A, Fraga MF, Guardiola J, Capella G, Esteller M, Moreno V. DNA methylation biomarkers for noninvasive diagnosis of colorectal cancer. Cancer Prev Res (Phila). 2013 Jul;6(7):656-65. doi: 10.1158/1940-6207.CAPR-12-0501. Epub 2013 May 21.

  • Maleszewska M, Wojtas B, Kaminska B. Deregulation of epigenetic mechanisms in cancer. Postepy Biochem. 2018 Oct 15;64(2):148-156. doi: 10.18388/pb.2018_125.

  • Park SK, Baek HL, Yu J, Kim JY, Yang HJ, Jung YS, Choi KY, Kim H, Kim HO, Jeong KU, Chun HK, Kim K, Park DI. Is methylation analysis of SFRP2, TFPI2, NDRG4, and BMP3 promoters suitable for colorectal cancer screening in the Korean population? Intest Res. 2017 Oct;15(4):495-501. doi: 10.5217/ir.2017.15.4.495. Epub 2017 Oct 23.

  • deVos T, Tetzner R, Model F, Weiss G, Schuster M, Distler J, Steiger KV, Grutzmann R, Pilarsky C, Habermann JK, Fleshner PR, Oubre BM, Day R, Sledziewski AZ, Lofton-Day C. Circulating methylated SEPT9 DNA in plasma is a biomarker for colorectal cancer. Clin Chem. 2009 Jul;55(7):1337-46. doi: 10.1373/clinchem.2008.115808. Epub 2009 Apr 30.

  • Melotte V, Lentjes MH, van den Bosch SM, Hellebrekers DM, de Hoon JP, Wouters KA, Daenen KL, Partouns-Hendriks IE, Stessels F, Louwagie J, Smits KM, Weijenberg MP, Sanduleanu S, Khalid-de Bakker CA, Oort FA, Meijer GA, Jonkers DM, Herman JG, de Bruine AP, van Engeland M. N-Myc downstream-regulated gene 4 (NDRG4): a candidate tumor suppressor gene and potential biomarker for colorectal cancer. J Natl Cancer Inst. 2009 Jul 1;101(13):916-27. doi: 10.1093/jnci/djp131. Epub 2009 Jun 17.

  • Okada S, Hata K, Kawai K, Yamamoto Y, Tanaka T, Nishikawa T, Sasaki K, Kaneko M, Emoto S, Murono K, Nozawa H. Association between KRAS G13D mutations and anastomotic recurrence in colorectal cancer: Two case reports. Medicine (Baltimore). 2019 Mar;98(12):e14781. doi: 10.1097/MD.0000000000014781.

  • Zeng N, Xiang J. Detection of KRAS G12D point mutation level by anchor-like DNA electrochemical biosensor. Talanta. 2019 Jun 1;198:111-117. doi: 10.1016/j.talanta.2019.01.105. Epub 2019 Jan 31.

  • Chen J, Sun H, Tang W, Zhou L, Xie X, Qu Z, Chen M, Wang S, Yang T, Dai Y, Wang Y, Gao T, Zhou Q, Song Z, Liao M, Liu W. DNA methylation biomarkers in stool for early screening of colorectal cancer. J Cancer. 2019 Aug 28;10(21):5264-5271. doi: 10.7150/jca.34944. eCollection 2019.

  • Rasmussen L, Wilhelmsen M, Christensen IJ, Andersen J, Jorgensen LN, Rasmussen M, Hendel JW, Madsen MR, Vilandt J, Hillig T, Klaerke M, Munster AM, Andersen LM, Andersen B, Hornung N, Erlandsen EJ, Khalid A, Nielsen HJ. Protocol Outlines for Parts 1 and 2 of the Prospective Endoscopy III Study for the Early Detection of Colorectal Cancer: Validation of a Concept Based on Blood Biomarkers. JMIR Res Protoc. 2016 Sep 13;5(3):e182. doi: 10.2196/resprot.6346.

  • Liu S, Wen L, Hou J, Nie S, Zhou J, Cao F, Lu Q, Qin Y, Fu Y, Yu X. Predicting the pathological response to chemoradiotherapy of non-mucinous rectal cancer using pretreatment texture features based on intravoxel incoherent motion diffusion-weighted imaging. Abdom Radiol (NY). 2019 Aug;44(8):2689-2698. doi: 10.1007/s00261-019-02032-0.

Biospecimen

Retention: SAMPLES WITH DNA

Fecal samples are collected from participants before colonoscopy. Participants are asked to collect stool samples in standardized containers, which are then stored at -80ºC immediately.

MeSH Terms

Conditions

Colorectal Neoplasms

Condition Hierarchy (Ancestors)

Intestinal NeoplasmsGastrointestinal NeoplasmsDigestive System NeoplasmsNeoplasms by SiteNeoplasmsDigestive System DiseasesGastrointestinal DiseasesColonic DiseasesIntestinal DiseasesRectal Diseases

Study Officials

  • weidong Liu, PhD

    Xiangya Hospital of Central South University

    STUDY CHAIR
  • mingmei Liao, PhD

    Xiangya Hospital of Central South University

    STUDY DIRECTOR
  • xi Xie, PhD

    Xiangya Hospital of Central South University

    PRINCIPAL INVESTIGATOR
  • jie Chen, PhD

    Xiangya Hospital of Central South University

    PRINCIPAL INVESTIGATOR
  • zhan Qu, PhD

    Xiangya Hospital of Central South University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Director of day surgery center

Study Record Dates

First Submitted

November 5, 2019

First Posted

March 10, 2020

Study Start

February 1, 2018

Primary Completion

December 1, 2020

Study Completion

December 1, 2021

Last Updated

March 10, 2020

Record last verified: 2020-03

Locations