- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07255729
An Exosomal microRNA Signature for Preoperative Staging in Colon Cancer (EXPOSE)
Machine Learning-Based Exosomal microRNA Signature for Preoperative Staging and Chemotherapy Eligibility in Colon Cancer
Study Overview
Status
Conditions
Detailed Description
Colon cancer remains one of the leading causes of cancer-related mortality worldwide, and despite advances in screening and surgical techniques, a substantial proportion of patients continue to experience disease recurrence after curative resection. For patients with pathological stage IIB or higher disease, adjuvant chemotherapy is routinely recommended due to their elevated recurrence risk. However, accurately identifying these biologically aggressive cases before surgery remains a major clinical challenge, as current imaging-based staging often underestimates tumor burden and fails to capture underlying malignant potential. This diagnostic gap has hindered the optimal implementation of neoadjuvant chemotherapy (NAC) in colon cancer.
To address this issue, the investigators established the EXPOSE study (Exosomal microRNA Signature for Pre-Operative Stage and Eligibility Evaluation), a multicenter translational research initiative aiming to develop and validate a noninvasive, biologically informed diagnostic assay capable of identifying patients with high-risk colon cancer-equivalent to pathological stage IIB or higher-who may benefit from NAC.
The EXPOSE study will proceed through three structured phases.
- In the discovery phase, exosomal microRNAs will be profiled using comprehensive small RNA sequencing to identify key biomarkers reflecting tumor aggressiveness.
- In the training phase, the investigators will quantify candidate microRNAs using RT-qPCR and integrate their expression patterns via machine-learning algorithms to construct a predictive model for high-risk disease.
- Finally, in the validation phase, the model's reproducibility, diagnostic accuracy, and generalizability will be tested in an independent clinical cohort.
The final EXPOSE assay is expected to serve as a liquid biopsy-based tool for preoperative staging, enabling more precise identification of biologically advanced colon cancer cases. Upon completion, this study will deliver a rigorously validated diagnostic model that combines molecular and clinical data to guide neoadjuvant treatment decisions and enhance personalized care in colon cancer management.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Ajay Goel, PhD
- Phone Number: 626-218-3452
- Email: AJGOEL@COH.ORG
Study Locations
-
-
California
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Duarte, California, United States, 91016
- Recruiting
- City of Hope Medical Center
-
Contact:
- Ajay Goel, PhD
- Phone Number: 626-218-3452
- Email: AJGOEL@COH.ORG
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Pathologically confirmed colon cancer (Stage I-IV, UICC TNM 8th edition)
- Underwent curative-intent resection (with or without perioperative therapy)
- Preoperative plasma (or serum) samples available
- Clinical and prognostic data available
Exclusion Criteria:
- No written informed consent
- Missing preoperative blood samples
- Missing survival/recurrence data
- Duplicate cases
- Non-adenocarcinoma histology
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
High-risk Colon Cancer (Discovery)
Stage IIB-IV colon cancer; used to identify biomarker candidates
|
Candidates identified from small RNA sequencing
|
|
Low-risk Colon Cancer (Discovery)
Stage I-IIA colon cancer
|
Candidates identified from small RNA sequencing
|
|
High-risk Colon Cancer (Training)
Pathological Stage IIB-IV; used to build model
|
Quantification of exosomal microRNAs (RT-qPCR)
|
|
Low-risk Colon Cancer (Training)
Pathological Stage I-IIA
|
Quantification of exosomal microRNAs (RT-qPCR)
|
|
High-risk Colon Cancer (Validation)
Stage IIB-IV in independent cohort
|
Quantification of exosomal microRNAs (RT-qPCR)
|
|
Low-risk Colon Cancer (Validation)
Stage I-IIA in independent cohort
|
Quantification of exosomal microRNAs (RT-qPCR)
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Pathological Stage IIB or higher patients
Time Frame: At time of pathology (1year after surgery)
|
At time of pathology (1year after surgery)
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Recurrence-Free Survival (RFS)
Time Frame: Up to 120 months
|
Up to 120 months
|
|
Overall survival (OS)
Time Frame: Up to 120 months
|
Up to 120 months
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Ajay Goel, PhD, City of Hope Medical Center
Publications and helpful links
General Publications
- Morton D, Seymour M, Magill L, Handley K, Glasbey J, Glimelius B, Palmer A, Seligmann J, Laurberg S, Murakami K, West N, Quirke P, Gray R; FOxTROT Collaborative Group. Preoperative Chemotherapy for Operable Colon Cancer: Mature Results of an International Randomized Controlled Trial. J Clin Oncol. 2023 Mar 10;41(8):1541-1552. doi: 10.1200/JCO.22.00046. Epub 2023 Jan 19.
- Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA Cancer J Clin. 2024 Jan-Feb;74(1):12-49. doi: 10.3322/caac.21820. Epub 2024 Jan 17.
- Morgan E, Arnold M, Gini A, Lorenzoni V, Cabasag CJ, Laversanne M, Vignat J, Ferlay J, Murphy N, Bray F. Global burden of colorectal cancer in 2020 and 2040: incidence and mortality estimates from GLOBOCAN. Gut. 2023 Feb;72(2):338-344. doi: 10.1136/gutjnl-2022-327736. Epub 2022 Sep 8.
- Cardoso R, Guo F, Heisser T, Hackl M, Ihle P, De Schutter H, Van Damme N, Valerianova Z, Atanasov T, Majek O, Muzik J, Nilbert MC, Tybjerg AJ, Innos K, Magi M, Malila N, Bouvier AM, Bouvier V, Launoy G, Woronoff AS, Cariou M, Robaszkiewicz M, Delafosse P, Poncet F, Katalinic A, Walsh PM, Senore C, Rosso S, Vincerzevskiene I, Lemmens VEPP, Elferink MAG, Johannesen TB, Korner H, Pfeffer F, Bento MJ, Rodrigues J, Alves da Costa F, Miranda A, Zadnik V, Zagar T, Lopez de Munain Marques A, Marcos-Gragera R, Puigdemont M, Galceran J, Carulla M, Chirlaque MD, Ballesta M, Sundquist K, Sundquist J, Weber M, Jordan A, Herrmann C, Mousavi M, Ryzhov A, Hoffmeister M, Brenner H. Colorectal cancer incidence, mortality, and stage distribution in European countries in the colorectal cancer screening era: an international population-based study. Lancet Oncol. 2021 Jul;22(7):1002-1013. doi: 10.1016/S1470-2045(21)00199-6. Epub 2021 May 25.
- Taieb J, Svrcek M, Cohen R, Basile D, Tougeron D, Phelip JM. Deficient mismatch repair/microsatellite unstable colorectal cancer: Diagnosis, prognosis and treatment. Eur J Cancer. 2022 Nov;175:136-157. doi: 10.1016/j.ejca.2022.07.020. Epub 2022 Sep 14.
- Burley N, Lee Y, Liu L, Gangi A, Nasseri Y, Atkins K, Zaghiyan K, Murrell Z, Osipov A, Hendifar A, Hitchins M, Gong J. ctDNA-guided adjuvant immunotherapy in colorectal cancer. Immunotherapy. 2024;16(20-22):1197-1202. doi: 10.1080/1750743X.2024.2430941. Epub 2024 Nov 17.
- Tan PB, Verschoor YL, van den Berg JG, Balduzzi S, Kok NFM, Ijsselsteijn ME, Moore K, Jurdi A, Tin A, Kaptein P, van Leerdam ME, Haanen JBAG, Voest EE, de Miranda NFCC, Schumacher TN, Wessels LFA, Chalabi M. Neoadjuvant immunotherapy in mismatch-repair-proficient colon cancers. Nature. 2025 Oct 20. doi: 10.1038/s41586-025-09679-4. Online ahead of print.
- Krsul D, Prenc E, Pozgaj L, Stefok D, Pongrac P, Podolski M, Radicevic AP, Karlovic D, Jerkovic A, Golcic M, Drazic I, Glavas Krsul S, Fuckar Cupic D, Erakovic Haber V, Zelic M. Diagnostic Relevance of miR-185, miR-141, and miR-21 in Colon Carcinoma: Insights into Tumor Sidedness and Reference Gene Selection. Biomedicines. 2025 Oct 10;13(10):2460. doi: 10.3390/biomedicines13102460.
- Serafin M, Maka M, Szostek J, Kania I, Jablonska B, Mrowiec S. Side-Specific Prognostic Factors in Colon Cancer: A Retrospective Analysis of Right- and Left-Sided Tumors. Cancers (Basel). 2025 Oct 14;17(20):3315. doi: 10.3390/cancers17203315.
- Miranda J, Torri GB, Andreia Maria da Silva M, Monjardim G, Mariussi M, Schmitt LG, Wiethan CP, Ghezzi TL, Ghezzi CLA, Altmayer S, Dias AB, Horvat N. CT diagnostic performance for preoperative staging of colon cancer: a systematic review and meta-analysis. Eur Radiol. 2025 Aug 6. doi: 10.1007/s00330-025-11850-4. Online ahead of print.
- Platt JR, Elliott F, Handley K, Magill L, Quirke P, Seymour MT, West NP, Morton D, Seligmann J, Tolan DJM. CT Staging Performance in an International Trial of Neoadjuvant Chemotherapy for locally advanced Colon cancer. Br J Radiol. 2025 Aug 23:tqaf217. doi: 10.1093/bjr/tqaf217. Online ahead of print.
- Gosavi R, Heriot A, Narasimhan V, Warrier SK. Perspectives of the Use of Neoadjuvant Therapy in the Management of Locally Advanced and Locally Recurrent Colon Cancer: A Bi-National Survey of Colorectal Surgeons. Asia Pac J Clin Oncol. 2025 Oct 13. doi: 10.1111/ajco.70035. Online ahead of print.
- Patel RD, Patel B, Crnogorac-Jurcevic T. Extracellular Vesicle-Derived miRNAs as Diagnostic Biomarkers for Pancreatic Ductal Adenocarcinoma: A Systematic Review of Methodological Rigour and Clinical Applicability. Biomark Insights. 2025 Oct 25;20:11772719251381960. doi: 10.1177/11772719251381960. eCollection 2025.
- Xia Y, Li B, Huang Z, Li X, Liu X, Zeng S, Fan Y, Yin J. Entropy-Driven Nucleic Acid Amplifier Based on Spatial Confinement as a "Booster" for Detection of Extracellular Vesicle MicroRNAs to Diagnose Gastric Cancer and Monitor Therapeutic Response. Anal Chem. 2025 Nov 3. doi: 10.1021/acs.analchem.5c05375. Online ahead of print.
- Yaghobinejad M, Naji M, Alizadeh AM, Aryanezhad S, Khalighfard S, Asadollahi P, Takzare N, Rastegar T. Identification and validation of stage-specific microRNAs and target genes for prostate cancer: Utilizing bioinformatics tools for diagnostic marker discovery. PLoS One. 2025 Nov 4;20(11):e0315366. doi: 10.1371/journal.pone.0315366. eCollection 2025.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
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
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 23228/EXPOSE
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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