- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06342427
Stomach Cancer Exosome-based Detection (DESTINEX)
Early Detection of Stomach Cancer With a Liquid Biopsy Based on Exosomal Micro-RNA
Study Overview
Status
Conditions
- Gastric Cancer
- Gastric Adenocarcinoma
- Gastric Cancer Stage IV
- Gastric Neoplasm
- Gastric Cancer Metastatic to Lung
- Gastric Cancer Stage
- Gastric Cancer Metastatic to Liver
- Gastric Cancer Stage III
- Gastric Cancer Stage II
- Gastric Lesion
- Gastric Cancer in Situ
- Gastric Cancer Stage IIIB
- Gastric Cancer Stage I
- Gastric Cancer Stage IB
- Gastric Cancer Stage IA
- Gastric Cancer, Stage 0
- Gastric Cancer Stage IIIA
- Gastric Cancer TNM Staging
- Gastric Cancer TNM Staging Primary Tumor (T) T2B
Intervention / Treatment
Detailed Description
Gastric cancer continues to have a poor prognosis primarily due to the inability to detect it in its early stages. Because conventional endoscopy is invasive and costly, gastric cancer is currently not considered to be screenable at a population level. However, if one could find less invasive and cheaper tools that accurately detect gastric cancer in its early stages, it could make a significant difference. Accurate biomarkers could help identify patients with gastric cancer before it becomes incurable.
This study aims to develop a non-invasive test to detect gastric cancer early. It consists of four phases:
- Discovering potential biomarkers with a comprehensive and genome-wide transcriptomic sequencing analysis that will involve gastric cancer tissue, normal tissue, and serum samples from patients with gastric cancer, as well as samples from people without the disease.
- Using machine learning to develop a combination "signature" of cell-free (cf) and exosomal (exo)-miRNA in serum specimens from a training cohort.
- A validation of this signature in an independent cohort to confirm its accuracy.
- An evaluation of the temporal trend of this signature in paired samples collected pre-surgery and post-surgery to investigate their potential and specificity as indicators of minimal residual disease.
In summary, this study aims to develop a highly accurate and cost-effective blood test for detecting gastric cancer early. Success could lead to significant improvements in clinical practice by catching cancer when it is most treatable. By combining different genetic markers (cell-free microRNA and exosomal microRNA) for accuracy, this study has the potential to reduce gastric cancer deaths and could lead to new screening methods in the future.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Nagoya, Japan
- Nagoya University
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Tsu, Japan
- Mie University
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California
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Duarte, California, United States, 91010
- City of Hope Medical Center
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Histological diagnosis of stage I, II, III, IV gastric cancer (TNM classification, 8th edition) (cases).
- Received standard diagnostic and staging procedures as per local guidelines, and at least one sample was drawn before receiving any curative-intent treatment.
- Confirmed cancer-free status at the time of study inclusion (Non-disease controls).
Exclusion Criteria:
- Lack of written informed consent.
- Systemic therapy before sampling.
- Synchronous gastric and non-gastric cancer diagnosed at or before surgery.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
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Patients with Gastric Cancer (Training)
Individuals with a pathologically confirmed diagnosis of gastric cancer
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A panel of microRNA, whose expression level is tested in serum samples.
Other Names:
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Patients without Gastric Cancer (Training)
Individuals without cancer at the time of blood sampling
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A panel of microRNA, whose expression level is tested in serum samples.
Other Names:
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Patients with Gastric Cancer (Validation)
Individuals with a pathologically confirmed diagnosis of gastric cancer
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A panel of microRNA, whose expression level is tested in serum samples.
Other Names:
|
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Patients without Gastric Cancer (Validation)
Individuals without cancer at the time of blood sampling
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A panel of microRNA, whose expression level is tested in serum samples.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Sensitivity
Time Frame: Through study completion, an average of 1 year
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True positive rate: the probability of a positive test result, conditioned on the individual truly being positive
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Through study completion, an average of 1 year
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Specificity
Time Frame: Through study completion, an average of 1 year
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True negative rate: the probability of a negative test result, conditioned on the individual truly being negative
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Through study completion, an average of 1 year
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Proportion of correct predictions (true positives and true negatives) among the total cases (i.e., accuracy)
Time Frame: Through study completion, an average of 1 year
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A measure of trueness: proportion of correct predictions (both true positives and true negatives) among the total number of cases examined
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Through study completion, an average of 1 year
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Ajay Goel, PhD, City of Hope Medical Center
Publications and helpful links
General Publications
- Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021 May;71(3):209-249. doi: 10.3322/caac.21660. Epub 2021 Feb 4.
- Heitzer E, Haque IS, Roberts CES, Speicher MR. Current and future perspectives of liquid biopsies in genomics-driven oncology. Nat Rev Genet. 2019 Feb;20(2):71-88. doi: 10.1038/s41576-018-0071-5.
- Smyth EC, Nilsson M, Grabsch HI, van Grieken NC, Lordick F. Gastric cancer. Lancet. 2020 Aug 29;396(10251):635-648. doi: 10.1016/S0140-6736(20)31288-5.
- Jung G, Hernandez-Illan E, Moreira L, Balaguer F, Goel A. Epigenetics of colorectal cancer: biomarker and therapeutic potential. Nat Rev Gastroenterol Hepatol. 2020 Feb;17(2):111-130. doi: 10.1038/s41575-019-0230-y. Epub 2020 Jan 3.
- Okugawa Y, Grady WM, Goel A. Epigenetic Alterations in Colorectal Cancer: Emerging Biomarkers. Gastroenterology. 2015 Oct;149(5):1204-1225.e12. doi: 10.1053/j.gastro.2015.07.011. Epub 2015 Jul 26.
- Nishiwada S, Cui Y, Sho M, Jun E, Akahori T, Nakamura K, Sonohara F, Yamada S, Fujii T, Han IW, Tsai S, Kodera Y, Park JO, Von Hoff D, Kim SC, Li W, Goel A. Transcriptomic Profiling Identifies an Exosomal microRNA Signature for Predicting Recurrence Following Surgery in Patients With Pancreatic Ductal Adenocarcinoma. Ann Surg. 2022 Dec 1;276(6):e876-e885. doi: 10.1097/SLA.0000000000004993. Epub 2021 Jun 16.
- Pasechnikov V, Chukov S, Fedorov E, Kikuste I, Leja M. Gastric cancer: prevention, screening and early diagnosis. World J Gastroenterol. 2014 Oct 14;20(38):13842-62. doi: 10.3748/wjg.v20.i38.13842.
- Lee JH, Kim JG, Jung HK, Kim JH, Jeong WK, Jeon TJ, Kim JM, Kim YI, Ryu KW, Kong SH, Kim HI, Jung HY, Kim YS, Zang DY, Cho JY, Park JO, Lim DH, Jung ES, Ahn HS, Kim HJ. Clinical practice guidelines for gastric cancer in Korea: an evidence-based approach. J Gastric Cancer. 2014 Jun;14(2):87-104. doi: 10.5230/jgc.2014.14.2.87. Epub 2014 Jun 30.
- Shimada H, Noie T, Ohashi M, Oba K, Takahashi Y. Clinical significance of serum tumor markers for gastric cancer: a systematic review of literature by the Task Force of the Japanese Gastric Cancer Association. Gastric Cancer. 2014 Jan;17(1):26-33. doi: 10.1007/s10120-013-0259-5. Epub 2013 Apr 10.
- Siravegna G, Mussolin B, Venesio T, Marsoni S, Seoane J, Dive C, Papadopoulos N, Kopetz S, Corcoran RB, Siu LL, Bardelli A. How liquid biopsies can change clinical practice in oncology. Ann Oncol. 2019 Oct 1;30(10):1580-1590. doi: 10.1093/annonc/mdz227.
- Rupaimoole R, Slack FJ. MicroRNA therapeutics: towards a new era for the management of cancer and other diseases. Nat Rev Drug Discov. 2017 Mar;16(3):203-222. doi: 10.1038/nrd.2016.246. Epub 2017 Feb 17.
- Schwarzenbach H, Nishida N, Calin GA, Pantel K. Clinical relevance of circulating cell-free microRNAs in cancer. Nat Rev Clin Oncol. 2014 Mar;11(3):145-56. doi: 10.1038/nrclinonc.2014.5. Epub 2014 Feb 4.
- Shigeyasu K, Toden S, Zumwalt TJ, Okugawa Y, Goel A. Emerging Role of MicroRNAs as Liquid Biopsy Biomarkers in Gastrointestinal Cancers. Clin Cancer Res. 2017 May 15;23(10):2391-2399. doi: 10.1158/1078-0432.CCR-16-1676. Epub 2017 Jan 31.
- Toiyama Y, Okugawa Y, Goel A. DNA methylation and microRNA biomarkers for noninvasive detection of gastric and colorectal cancer. Biochem Biophys Res Commun. 2014 Dec 5;455(1-2):43-57. doi: 10.1016/j.bbrc.2014.08.001. Epub 2014 Aug 13.
- Nik Mohamed Kamal NNSB, Shahidan WNS. Non-Exosomal and Exosomal Circulatory MicroRNAs: Which Are More Valid as Biomarkers? Front Pharmacol. 2020 Jan 20;10:1500. doi: 10.3389/fphar.2019.01500. eCollection 2019.
- Lopez K, Lai SWT, Lopez Gonzalez EJ, Davila RG, Shuck SC. Extracellular vesicles: A dive into their role in the tumor microenvironment and cancer progression. Front Cell Dev Biol. 2023 Mar 21;11:1154576. doi: 10.3389/fcell.2023.1154576. eCollection 2023.
- Zhu L, Li J, Gong Y, Wu Q, Tan S, Sun D, Xu X, Zuo Y, Zhao Y, Wei YQ, Wei XW, Peng Y. Exosomal tRNA-derived small RNA as a promising biomarker for cancer diagnosis. Mol Cancer. 2019 Apr 2;18(1):74. doi: 10.1186/s12943-019-1000-8.
- Miyazaki K, Wada Y, Okuno K, Murano T, Morine Y, Ikemoto T, Saito Y, Ikematsu H, Kinugasa Y, Shimada M, Goel A. An exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk T1 colorectal cancer. Mol Cancer. 2023 Jan 6;22(1):2. doi: 10.1186/s12943-022-01685-8.
- Lane JS, Hoff DV, Cridebring D, Goel A. Extracellular Vesicles in Diagnosis and Treatment of Pancreatic Cancer: Current State and Future Perspectives. Cancers (Basel). 2020 Jun 10;12(6):1530. doi: 10.3390/cancers12061530.
- Lennon KM, Wakefield DL, Maddox AL, Brehove MS, Willner AN, Garcia-Mansfield K, Meechoovet B, Reiman R, Hutchins E, Miller MM, Goel A, Pirrotte P, Van Keuren-Jensen K, Jovanovic-Talisman T. Single molecule characterization of individual extracellular vesicles from pancreatic cancer. J Extracell Vesicles. 2019 Nov 4;8(1):1685634. doi: 10.1080/20013078.2019.1685634. eCollection 2019.
- Akers JC, Gonda D, Kim R, Carter BS, Chen CC. Biogenesis of extracellular vesicles (EV): exosomes, microvesicles, retrovirus-like vesicles, and apoptotic bodies. J Neurooncol. 2013 May;113(1):1-11. doi: 10.1007/s11060-013-1084-8. Epub 2013 Mar 2.
- Chaput N, Thery C. Exosomes: immune properties and potential clinical implementations. Semin Immunopathol. 2011 Sep;33(5):419-40. doi: 10.1007/s00281-010-0233-9. Epub 2010 Dec 21.
- Nakamura K, Zhu Z, Roy S, Jun E, Han H, Munoz RM, Nishiwada S, Sharma G, Cridebring D, Zenhausern F, Kim S, Roe DJ, Darabi S, Han IW, Evans DB, Yamada S, Demeure MJ, Becerra C, Celinski SA, Borazanci E, Tsai S, Kodera Y, Park JO, Bolton JS, Wang X, Kim SC, Von Hoff D, Goel A. An Exosome-based Transcriptomic Signature for Noninvasive, Early Detection of Patients With Pancreatic Ductal Adenocarcinoma: A Multicenter Cohort Study. Gastroenterology. 2022 Nov;163(5):1252-1266.e2. doi: 10.1053/j.gastro.2022.06.090. Epub 2022 Jul 16.
- Li A, Yu J, Kim H, Wolfgang CL, Canto MI, Hruban RH, Goggins M. MicroRNA array analysis finds elevated serum miR-1290 accurately distinguishes patients with low-stage pancreatic cancer from healthy and disease controls. Clin Cancer Res. 2013 Jul 1;19(13):3600-10. doi: 10.1158/1078-0432.CCR-12-3092. Epub 2013 May 22.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 23228/DESTINEX
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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