Evaluation of Somatic Mutation Spectrum as Biomarker for Survival Outcome in Chinese CRC
NCT ID: NCT04228614
Last Updated: 2020-01-18
Study Results
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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UNKNOWN
1500 participants
OBSERVATIONAL
2018-05-01
2021-05-01
Brief Summary
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Detailed Description
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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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Study Design
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COHORT
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
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
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.
18 Years
ALL
No
Sponsors
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Sun Yat-sen University
OTHER
Responsible Party
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Ruihua Xu
Clinical Professor
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
Countries
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Central Contacts
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Facility Contacts
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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.
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.
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.
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.
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.
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.
Other Identifiers
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mutation spectrum model-CRC
Identifier Type: -
Identifier Source: org_study_id
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