An Exosomal microRNA Signature for Preoperative Staging in Colon Cancer

NCT ID: NCT07255729

Last Updated: 2025-12-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

RECRUITING

Total Enrollment

400 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-01-15

Study Completion Date

2026-06-18

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Recent studies have highlighted the potential benefits of neoadjuvant chemotherapy (NAC) in colon cancer; however, its indication is generally limited to cases corresponding to pathological stage IIB or higher. Accurately identifying such high-risk cases before surgery remains challenging using conventional clinical diagnostics alone. Therefore, we hypothesized that integrating molecular biomarkers with preoperative clinical assessment could provide a more precise and sensitive evaluation of tumor aggressiveness. In this context, we focused on exosomal microRNAs, which are actively secreted from tumor cells and remain stable in circulation, and aimed to develop a machine learning-based biomarker panel. To achieve this, we initiated a multicenter study utilizing preoperative plasma samples to establish a reliable biomarker model for risk stratification and treatment decision-making in colon cancer.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

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.

1. In the discovery phase, exosomal microRNAs will be profiled using comprehensive small RNA sequencing to identify key biomarkers reflecting tumor aggressiveness.
2. 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.
3. 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.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Colon Cancer

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

High-risk Colon Cancer (Discovery)

Stage IIB-IV colon cancer; used to identify biomarker candidates

Diagnostic Test: EXPOSE assay(Small RNA-seq of exosomal miRNAs)

Intervention Type DIAGNOSTIC_TEST

Candidates identified from small RNA sequencing

Low-risk Colon Cancer (Discovery)

Stage I-IIA colon cancer

Diagnostic Test: EXPOSE assay(Small RNA-seq of exosomal miRNAs)

Intervention Type DIAGNOSTIC_TEST

Candidates identified from small RNA sequencing

High-risk Colon Cancer (Training)

Pathological Stage IIB-IV; used to build model

Diagnostic Test: EXPOSE RT-qPCR panel

Intervention Type DIAGNOSTIC_TEST

Quantification of exosomal microRNAs (RT-qPCR)

Low-risk Colon Cancer (Training)

Pathological Stage I-IIA

Diagnostic Test: EXPOSE RT-qPCR panel

Intervention Type DIAGNOSTIC_TEST

Quantification of exosomal microRNAs (RT-qPCR)

High-risk Colon Cancer (Validation)

Stage IIB-IV in independent cohort

Diagnostic Test: EXPOSE RT-qPCR panel

Intervention Type DIAGNOSTIC_TEST

Quantification of exosomal microRNAs (RT-qPCR)

Low-risk Colon Cancer (Validation)

Stage I-IIA in independent cohort

Diagnostic Test: EXPOSE RT-qPCR panel

Intervention Type DIAGNOSTIC_TEST

Quantification of exosomal microRNAs (RT-qPCR)

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Diagnostic Test: EXPOSE assay(Small RNA-seq of exosomal miRNAs)

Candidates identified from small RNA sequencing

Intervention Type DIAGNOSTIC_TEST

Diagnostic Test: EXPOSE RT-qPCR panel

Quantification of exosomal microRNAs (RT-qPCR)

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

City of Hope Medical Center

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Ajay Goel, PhD

Role: PRINCIPAL_INVESTIGATOR

City of Hope Medical Center

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

City of Hope Medical Center

Duarte, California, United States

Site Status RECRUITING

Countries

Review the countries where the study has at least one active or historical site.

United States

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Ajay Goel, PhD

Role: CONTACT

626-218-3452

Facility Contacts

Find local site contact details for specific facilities participating in the trial.

Ajay Goel, PhD

Role: primary

626-218-3452

References

Explore related publications, articles, or registry entries linked to this study.

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.

Reference Type BACKGROUND
PMID: 36604116 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 34048685 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 36115290 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 38230766 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 39552190 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 41115454 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 41153743 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 41154372 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 40767870 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 40848246 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 41084117 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 36657089 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 41180592 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 41182092 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 41187218 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

23228/EXPOSE

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Microbiome and Rectal Cancer
NCT04223102 ACTIVE_NOT_RECRUITING NA
ctDNA-Informed Management of Early-Stage Rectal Cancer
NCT07209215 NOT_YET_RECRUITING PHASE2