Evaluation of Somatic Mutation Spectrum as Biomarker for Survival Outcome in Chinese CRC

NCT ID: NCT04228614

Last Updated: 2020-01-18

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

1500 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-05-01

Study Completion Date

2021-05-01

Brief Summary

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By analyse the tissue/blood variant spectrum model using NGS, the present clinical trial aims to elucidate the genetic basis of CRC in Chinese; to establish of CRC genetic map in Chinese patients; to identification new genetic biomarkers, drug and pathways; and to subtyping for precision treatment and management for Chinese CRC patients.

Detailed Description

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Colorectal cancer (CRC), as one of the common malignant tumors with high morbidity and mortality, is a major health threat in China. Surgical resection is the conventional treatment for early and intermediate stage CRC, chemotherapy is the main treatment for late stage CRC.

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. Using Next Generation Sequencing (NGS), Newman et al. have shown that the serum level of ctDNA was correlated with tumor progress and prognosis in NSCLC. Isaac et al. demonstrated the postoperative ctDNA 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.

Conditions

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Colorectal Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

OTHER

Study Groups

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Retrospective cohort

Whole exome sequencing of 2500 retrospective tissue sample.

No interventions assigned to this group

Prospective cohort

Whole exome sequencing of 500 prospectively collected tissue samples. Panel sequencing of 451 genes of prospectively collected blood samples.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

Retrospective cohort:

1. The patient had no previous history of tumor prior to the diagnosis of colorectal cancer.
2. The tissue samples of patients were obtained from the radical(stage I-III) or palliative (stage IV) resection of colorectal cancer.
3. The clinical data of patients are complete.
4. The treatment record of the patients after surgery are complete, and the fellow-up data are available.

Prospective cohort:

1. Patients who were diagnosed as stage IV colorectal cancer and planed to received palliative systematic chemotherapy.
2. Paired 10 ml blood and tissue samples should be available
3. The clinical informations of patients and definite pathological diagnosis of colorectal cancer should be obtained
4. Patients agree with the group to follow-up them and provide follow-up informations
5. Performance status ECOG(Eastern Cooperative Oncology Group) score ≤2
6. Informed consent must be obtained from the patient

Exclusion Criteria

Retrospective cohort:

1. The patient had previous history of tumor prior to colorectal cancer surgery
2. The clinical data of patients are not available

4\. The date of treatment after surgery are not integrity, outcome data are not available

Prospective cohort:

1. The patient received a blood transfusion within three months;
2. The patient has active HIV, hepatitis B or hepatitis C infection;
3. pregnant patients;
4. Alcohol or drug users;
5. Other situation that researchers considered might affect the results of the experiment or violate the ethics.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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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_DIRECTOR

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

Facility Contacts

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Feng Wang, M.D,Ph.D

Role: primary

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 BACKGROUND
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 BACKGROUND
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 BACKGROUND
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 BACKGROUND
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 BACKGROUND
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 BACKGROUND
PMID: 27384348 (View on PubMed)

Other Identifiers

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mutation spectrum model-CRC

Identifier Type: -

Identifier Source: org_study_id

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