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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT06342427
Other study ID # 23228/DESTINEX
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date March 15, 2023
Est. completion date March 15, 2025

Study information

Verified date April 2024
Source City of Hope Medical Center
Contact Ajay Goel, PhD
Phone 6262183452
Email AJGOEL@COH.ORG
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Gastric cancer continues to have a poor prognosis primarily due to the inability to detect it in its early stages. This study will develop and validate a blood assay to facilitate the non-invasive detection of gastric cancer.


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: 1. 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. 2. Using machine learning to develop a combination "signature" of cell-free (cf) and exosomal (exo)-miRNA in serum specimens from a training cohort. 3. A validation of this signature in an independent cohort to confirm its accuracy. 4. 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.


Recruitment information / eligibility

Status Recruiting
Enrollment 800
Est. completion date March 15, 2025
Est. primary completion date March 15, 2025
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years and older
Eligibility 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 Design


Intervention

Diagnostic Test:
DESTINEX
A panel of microRNA, whose expression level is tested in serum samples.

Locations

Country Name City State
Japan Nagoya University Nagoya
Japan Mie University Tsu
United States City of Hope Medical Center Duarte California

Sponsors (1)

Lead Sponsor Collaborator
City of Hope Medical Center

Countries where clinical trial is conducted

United States,  Japan, 

References & Publications (24)

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

* Note: There are 24 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Sensitivity True positive rate: the probability of a positive test result, conditioned on the individual truly being positive Through study completion, an average of 1 year
Secondary Specificity True negative rate: the probability of a negative test result, conditioned on the individual truly being negative Through study completion, an average of 1 year
Secondary Proportion of correct predictions (true positives and true negatives) among the total cases (i.e., accuracy) A measure of trueness: proportion of correct predictions (both true positives and true negatives) among the total number of cases examined Through study completion, an average of 1 year
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