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So far, MRD assessment by liquid biopsy (ctDNA) has not been used to predict postoperative treatment efficacy and recurrence risk of GIST patients because of special disease characteristics and technological limitations. Therefore, we conducted this prospective multi-center, single-arm observational study to collect 45 operable patients with locally advanced, suspected high-risk GIST. NGS genetic testing platform is used to detect tumour tissues and peripheral ctDNA will also be dectected. we try to explore the correlation between PFS/OS and MRD in high-risk GIST patients by analyzing the relationship between dynamic changes in ctDNA mutation spectrum and postoperative adjuvant therapy efficacy, and to evaluate MRD-based genomic characteristics to guide further treatment.
Assessing MRD (Minimal Residual Disease) and predicting the postoperative adjuvant treatment efficacy and recurrence risk of tumor patients based on ctDNA (circulating tumor DNA) detected by liquid biopsy have been exploratorily studied and applied in many types of cancers. However, as for GISTs (gastrointestinal stromal tumors), the most common mesenchymal neoplasm of the gastrointestinal tract, they have less peripheral ctDNA fragments compared with those tumors of hematological or epithelial origins. Since there are also some limitations of previous detection technology and detection depth, prospective study for prediction of postoperative treatment efficacy and recurrence risk of high-risk GIST is lacking.
In this study, a prospective multi-center, single-arm observational study is conducted to collect operable patients with locally advanced GIST. According to results of preoperative imaging examinations or pathological biopsy, 45 high-risk GIST patients will be screened and enrolled. Next-Generation Sequencing (NGS) genetic testing platform (Burning Rock Oncoscreen Plus TM) is used to detect the baseline tumour tissues (detection depth 1000X) of these patients. And peripheral ctDNA (detection depth 30000X) of multiple pre/postoperative time points will be detected. The genetic profile and clinical information of each patient will be collected. Combining all the information, bioinformatics analysis will be carried out on the gene detection results of these patients at each time point, and the correlation between the postoperative recurrence time and the ctDNA positive rate/postoperative clearance rate of patients will be compared. The characteristics changes and dynamic changes of tumor release degree will also be analyzed. To explore the correlation between PFS/OS and MRD in high-risk GIST patients, we plan to analyze the relationship between dynamic changes in ctDNA mutation spectrum and postoperative adjuvant therapy efficacy, and to evaluate MRD-based genomic characteristics to guide further treatment.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| liquid biopsy | Diagnostic Test | A test that enables the diagnosis or analysis of tumors using only a blood or fluid sample rather than a solid tissue biopsy. |
| Measure | Description | Time Frame |
|---|---|---|
| recurrence | Recurrence or metastasis of high-risk GIST after surgical resection followed by targeted drug therapy | 3 to 5 years |
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Inclusion Criteria:
Exclusion Criteria:
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This study plans to invite patients with the following criteria: patients with resectable locally advanced GIST who received or did not receive neoadjuvant molecular targeted therapy, and patients with high recurrence risk grading by postoperative pathological assessment, including but not limited to the following clinical factors: Tumor Location, size, degree of mitoses, degree of tumor rupture, etc. Those who did not reach R0 resection or did not match the pathological staging, or who could not complete the test items required by the trial within the specified time due to the patient's non-cooperation, or who were deemed unsuitable by other investigators, would not be invited to participate in this study.
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| Name | Affiliation | Role |
|---|---|---|
| Yingjiang Ye | Peking University People's Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Peking University People'S Hospital | Recruiting | Beijing | Beijing Municipality | 100044 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 14515284 | Result | Connolly EM, Gaffney E, Reynolds JV. Gastrointestinal stromal tumours. Br J Surg. 2003 Oct;90(10):1178-86. doi: 10.1002/bjs.4352. | |
| 15654796 | Result | Tran T, Davila JA, El-Serag HB. The epidemiology of malignant gastrointestinal stromal tumors: an analysis of 1,458 cases from 1992 to 2000. Am J Gastroenterol. 2005 Jan;100(1):162-8. doi: 10.1111/j.1572-0241.2005.40709.x. |
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| ID | Term |
|---|---|
| D046152 | Gastrointestinal Stromal Tumors |
| D018365 | Neoplasm, Residual |
| ID | Term |
|---|---|
| D009372 | Neoplasms, Connective Tissue |
| D018204 | Neoplasms, Connective and Soft Tissue |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
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| ID | Term |
|---|---|
| D000073890 | Liquid Biopsy |
| ID | Term |
|---|---|
| D001706 | Biopsy |
| D003581 | Cytodiagnosis |
| D003584 | Cytological Techniques |
| D019411 | Clinical Laboratory Techniques |
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tumor tissues: collected from preoperative needle biopsy or specimens of surgical resection
blood tissues: venous blood collected at specific time point stipulated in the protocol
| 11215292 | Result | Graadt van Roggen JF, van Velthuysen ML, Hogendoorn PC. The histopathological differential diagnosis of gastrointestinal stromal tumours. J Clin Pathol. 2001 Feb;54(2):96-102. doi: 10.1136/jcp.54.2.96. |
| 10197236 | Result | Chan JK. Mesenchymal tumors of the gastrointestinal tract: a paradise for acronyms (STUMP, GIST, GANT, and now GIPACT), implication of c-kit in genesis, and yet another of the many emerging roles of the interstitial cell of Cajal in the pathogenesis of gastrointestinal diseases? Adv Anat Pathol. 1999 Jan;6(1):19-40. doi: 10.1097/00125480-199901000-00003. |
| 9438854 | Result | Hirota S, Isozaki K, Moriyama Y, Hashimoto K, Nishida T, Ishiguro S, Kawano K, Hanada M, Kurata A, Takeda M, Muhammad Tunio G, Matsuzawa Y, Kanakura Y, Shinomura Y, Kitamura Y. Gain-of-function mutations of c-kit in human gastrointestinal stromal tumors. Science. 1998 Jan 23;279(5350):577-80. doi: 10.1126/science.279.5350.577. |
| 12949711 | Result | Hirota S, Ohashi A, Nishida T, Isozaki K, Kinoshita K, Shinomura Y, Kitamura Y. Gain-of-function mutations of platelet-derived growth factor receptor alpha gene in gastrointestinal stromal tumors. Gastroenterology. 2003 Sep;125(3):660-7. doi: 10.1016/s0016-5085(03)01046-1. |
| 12522257 | Result | Heinrich MC, Corless CL, Duensing A, McGreevey L, Chen CJ, Joseph N, Singer S, Griffith DJ, Haley A, Town A, Demetri GD, Fletcher CD, Fletcher JA. PDGFRA activating mutations in gastrointestinal stromal tumors. Science. 2003 Jan 31;299(5607):708-10. doi: 10.1126/science.1079666. Epub 2003 Jan 9. |
| 32293728 | Result | Li J, Shen L. The current status of and prospects in research regarding gastrointestinal stromal tumors in China. Cancer. 2020 May 1;126 Suppl 9:2048-2053. doi: 10.1002/cncr.32684. |
| 26622800 | Result | Cao F, Li A, Li J, Fang YU, Li F. Feasibility and safety of laparoscopic resection for gastric GISTs larger than 5 cm: Results from a prospective study. Oncol Lett. 2015 Oct;10(4):2081-2086. doi: 10.3892/ol.2015.3547. Epub 2015 Jul 30. |
| 28383420 | Result | Huang CM, Chen QF, Lin JX, Lin M, Zheng CH, Li P, Xie JW, Wang JB, Lu J, Chen QY, Cao LL, Tu RH. Can laparoscopic surgery be applied in gastric gastrointestinal stromal tumors located in unfavorable sites?: A study based on the NCCN guidelines. Medicine (Baltimore). 2017 Apr;96(14):e6535. doi: 10.1097/MD.0000000000006535. |
| 10636102 | Result | DeMatteo RP, Lewis JJ, Leung D, Mudan SS, Woodruff JM, Brennan MF. Two hundred gastrointestinal stromal tumors: recurrence patterns and prognostic factors for survival. Ann Surg. 2000 Jan;231(1):51-8. doi: 10.1097/00000658-200001000-00008. |
| 18076015 | Result | Dematteo RP, Gold JS, Saran L, Gonen M, Liau KH, Maki RG, Singer S, Besmer P, Brennan MF, Antonescu CR. Tumor mitotic rate, size, and location independently predict recurrence after resection of primary gastrointestinal stromal tumor (GIST). Cancer. 2008 Feb 1;112(3):608-15. doi: 10.1002/cncr.23199. |
| 18670422 | Result | Diehl F, Schmidt K, Choti MA, Romans K, Goodman S, Li M, Thornton K, Agrawal N, Sokoll L, Szabo SA, Kinzler KW, Vogelstein B, Diaz LA Jr. Circulating mutant DNA to assess tumor dynamics. Nat Med. 2008 Sep;14(9):985-90. doi: 10.1038/nm.1789. Epub 2007 Jul 31. |
| 27384348 | Result | 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. |
| 26311728 | Result | 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. |
| 28445469 | Result | Abbosh C, Birkbak NJ, Wilson GA, Jamal-Hanjani M, Constantin T, Salari R, Le Quesne J, Moore DA, Veeriah S, Rosenthal R, Marafioti T, Kirkizlar E, Watkins TBK, McGranahan N, Ward S, Martinson L, Riley J, Fraioli F, Al Bakir M, Gronroos E, Zambrana F, Endozo R, Bi WL, Fennessy FM, Sponer N, Johnson D, Laycock J, Shafi S, Czyzewska-Khan J, Rowan A, Chambers T, Matthews N, Turajlic S, Hiley C, Lee SM, Forster MD, Ahmad T, Falzon M, Borg E, Lawrence D, Hayward M, Kolvekar S, Panagiotopoulos N, Janes SM, Thakrar R, Ahmed A, Blackhall F, Summers Y, Hafez D, Naik A, Ganguly A, Kareht S, Shah R, Joseph L, Marie Quinn A, Crosbie PA, Naidu B, Middleton G, Langman G, Trotter S, Nicolson M, Remmen H, Kerr K, Chetty M, Gomersall L, Fennell DA, Nakas A, Rathinam S, Anand G, Khan S, Russell P, Ezhil V, Ismail B, Irvin-Sellers M, Prakash V, Lester JF, Kornaszewska M, Attanoos R, Adams H, Davies H, Oukrif D, Akarca AU, Hartley JA, Lowe HL, Lock S, Iles N, Bell H, Ngai Y, Elgar G, Szallasi Z, Schwarz RF, Herrero J, Stewart A, Quezada SA, Peggs KS, Van Loo P, Dive C, Lin CJ, Rabinowitz M, Aerts HJWL, Hackshaw A, Shaw JA, Zimmermann BG; TRACERx consortium; PEACE consortium; Swanton C. Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution. Nature. 2017 Apr 26;545(7655):446-451. doi: 10.1038/nature22364. |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D009385 | Neoplastic Processes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D019937 |
| Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
| D013048 | Specimen Handling |
| D008919 | Investigative Techniques |