ctDNA as a Prognostic Marker for Postoperative Relapse in Early and Intermediate Stage Colorectal Cancer

NCT ID: NCT03312374

Last Updated: 2019-02-26

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

350 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-08-01

Study Completion Date

2020-03-30

Brief Summary

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By monitoring the serum ctDNA mutational profile using NGS, the present clinical trial aims to elucidate the correlation between the postoperative ctDNA status and the prognosis of patients with early and intermediate-stage colorectal cancer, and explore the possibility of clinical utility of serum ctDNA as a clinical index to predict postoperative relapse.

Detailed Description

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Colorectal cancer (CRC), as one of the common malignant tumors with high mobidity and mortality, is a major health threat in China.Surgical resection is the conventional treatment for early and intermediate stageCRC, however, it is not curative and postoperative recurrenceremains a clinical dilemma.Early detection of recurrence by serum tumor biomarkers and Computed Tomography (CT) during follow-up can improve the overall survival of patients with surgical resection. Nevertheless, thecurrently available tumor biomarkers have limited sensitivity and specificity, and CT is associated with radiation exposure. Therefore, there is a need for a more effective and feasible methodfor the prediction of postoperative recurrence.

Circulating tumor DNA (ctDNA) is tumor-derived fragmented DNA with an average size of 170bp, mixed with cell free DNA (cfDNA) of other sources in blood circulation. Although the mechanisms of its release have not been fully addressed, apoptosis and/or necrosis of tumor cells and serum exosome are considered as its main source, which makes it a genomic reservoir of different tumor clones. Also, as its half-life is up to hours, ctDNA is reflecting the most up-to-date status of tumor genome. Hence, it allows for noninvasive molecular characterization of tumors,which can be qualitative, quantitative and used for disease monitoring.

The possibility of that ctDNA could be used to detect micrometastatic disease in patients received surgical resection was suggested in several studies. UsingNext Generation Sequencing (NGS),Newman et al. have shown that the serum level of ctDNA was correlated withtumor progress and prognosis in NSCLC. Isaac et al. demonstrated the postoperativectDNA level was associated with breast cancer progression, and it was more sensitive compared to CT scan for predicting the early relapse. Tie et al. examined the postoperative ctDNA level of 1046 plasma samples from a prospective cohort of 230 patients with resected stage II CRC by NGS, and their results demonstrated that recurrence happened in 79% of the patients with positive postoperative ctDNA at median follow-up of 27 months, versus 9.8% in the negative postoperative ctDNA group.

By monitoring the serum ctDNA mutational profile using NGS, the present clinical trial aims to elucidate the correlation between the postoperative ctDNA status and the prognosis of patients with early and intermediate-stage colorectal cancer, and explore the possibility of clinical utility of serum ctDNA as a clinical index to predict postoperative relapse.

Conditions

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Colorectal Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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stage II CRC

Patients with stage II colorectal cancer

No interventions assigned to this group

stage III CRC

Patients with stage III colorectal cancer

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

1. Male or female ≥ 18 years of age on the day of signing informed consent.
2. Patients must have histologically confirmed stage II/IIIcolorectal cancer.
3. Patients need to receive surgical resection.
4. Patients must have a performance status of ≤1 on the ECOG Performance Scale.
5. Patients must have survival of \> 12 months after the index date
6. Written informed consent must be obtained from patient or patient's legal representative and ability for patient to comply with the requirements of the study.

Exclusion Criteria

1. Patients received adjuvant treatment prior to the surgical resection.
2. Patients received blood transfusion two weeks before or during the surgical resection.
3. Patients who are positive for Human Immunodeficiency Virus (HIV), Hepatitis B or Hepatitis C.
4. Patients who are pregnant.
5. Patients who are alcoholic or drug abusers.
6. Patients with a history or current evidence of any condition or abnormality that might confound the results of the study, interfere with the patient's participation for the full duration of the study, or is not in the best interest of the patient to participate, in the opinion of the Investigator.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Fudan University

OTHER

Sponsor Role collaborator

Zhejiang University

OTHER

Sponsor Role collaborator

Sun Yat-sen University

OTHER

Sponsor Role lead

Responsible Party

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Ruihua Xu

Clinical Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Ruihua Xu, MD.,PhD.

Role: STUDY_CHAIR

Sun Yat-sen University

Locations

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Medical Oncology,Sun Yat-sen University Cancer Center

Guangzhou, Guangdong, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Feng Wang, MD.,PhD.

Role: CONTACT

+862087343795

Gong Chen, MD.

Role: CONTACT

+862013500030531

Facility Contacts

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Feng Wang, M.D,Ph.D

Role: primary

86-18620880867

References

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Guinney J, Dienstmann R, Wang X, de Reynies A, Schlicker A, Soneson C, Marisa L, Roepman P, Nyamundanda G, Angelino P, Bot BM, Morris JS, Simon IM, Gerster S, Fessler E, De Sousa E Melo F, Missiaglia E, Ramay H, Barras D, Homicsko K, Maru D, Manyam GC, Broom B, Boige V, Perez-Villamil B, Laderas T, Salazar R, Gray JW, Hanahan D, Tabernero J, Bernards R, Friend SH, Laurent-Puig P, Medema JP, Sadanandam A, Wessels L, Delorenzi M, Kopetz S, Vermeulen L, Tejpar S. The consensus molecular subtypes of colorectal cancer. Nat Med. 2015 Nov;21(11):1350-6. doi: 10.1038/nm.3967. Epub 2015 Oct 12.

Reference Type RESULT
PMID: 26457759 (View on PubMed)

Rolfo C, Castiglia M, Hong D, Alessandro R, Mertens I, Baggerman G, Zwaenepoel K, Gil-Bazo I, Passiglia F, Carreca AP, Taverna S, Vento R, Santini D, Peeters M, Russo A, Pauwels P. Liquid biopsies in lung cancer: the new ambrosia of researchers. Biochim Biophys Acta. 2014 Dec;1846(2):539-46. doi: 10.1016/j.bbcan.2014.10.001. Epub 2014 Oct 16.

Reference Type RESULT
PMID: 25444714 (View on PubMed)

Yu SC, Lee SW, Jiang P, Leung TY, Chan KC, Chiu RW, Lo YM. High-resolution profiling of fetal DNA clearance from maternal plasma by massively parallel sequencing. Clin Chem. 2013 Aug;59(8):1228-37. doi: 10.1373/clinchem.2013.203679. Epub 2013 Apr 19.

Reference Type RESULT
PMID: 23603797 (View on PubMed)

Newman AM, Bratman SV, To J, Wynne JF, Eclov NC, Modlin LA, Liu CL, Neal JW, Wakelee HA, Merritt RE, Shrager JB, Loo BW Jr, Alizadeh AA, Diehn M. An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage. Nat Med. 2014 May;20(5):548-54. doi: 10.1038/nm.3519. Epub 2014 Apr 6.

Reference Type RESULT
PMID: 24705333 (View on PubMed)

Garcia-Murillas I, Schiavon G, Weigelt B, Ng C, Hrebien S, Cutts RJ, Cheang M, Osin P, Nerurkar A, Kozarewa I, Garrido JA, Dowsett M, Reis-Filho JS, Smith IE, Turner NC. Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer. Sci Transl Med. 2015 Aug 26;7(302):302ra133. doi: 10.1126/scitranslmed.aab0021.

Reference Type RESULT
PMID: 26311728 (View on PubMed)

Tie J, Wang Y, Tomasetti C, Li L, Springer S, Kinde I, Silliman N, Tacey M, Wong HL, Christie M, Kosmider S, Skinner I, Wong R, Steel M, Tran B, Desai J, Jones I, Haydon A, Hayes T, Price TJ, Strausberg RL, Diaz LA Jr, Papadopoulos N, Kinzler KW, Vogelstein B, Gibbs P. Circulating tumor DNA analysis detects minimal residual disease and predicts recurrence in patients with stage II colon cancer. Sci Transl Med. 2016 Jul 6;8(346):346ra92. doi: 10.1126/scitranslmed.aaf6219.

Reference Type RESULT
PMID: 27384348 (View on PubMed)

Other Identifiers

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CTDNA-CRC

Identifier Type: -

Identifier Source: org_study_id

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