Development of a cfDNA 5mC/5hmC-based Biomarker Panel to Predict Targeted Therapy Efficacy in mCRC
EpiDRIVE
1 other identifier
observational
500
1 country
1
Brief Summary
The EpiDRIVE study aims to identify cfDNA-based epigenetic determinants of response in metastatic colorectal cancer (mCRC) patients treated with EGFR- or VEGF-targeted therapy. By integrating 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) profiling, this study seeks to develop a predictive biomarker panel capable of differentiating responders from non-responders to targeted therapy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2024
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 21, 2024
CompletedFirst Submitted
Initial submission to the registry
November 3, 2025
CompletedFirst Posted
Study publicly available on registry
November 5, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 18, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
June 18, 2026
November 5, 2025
November 1, 2025
2 years
November 3, 2025
November 3, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Progression-Free Survival (PFS) according to cfDNA 5mC/5hmC biomarker profile
Progression-free survival (PFS) among patients with metastatic colorectal cancer (mCRC) receiving EGFR- or VEGF-targeted therapy, stratified by cfDNA 5mC/5hmC-based biomarker status.
Up to 36 months from therapy initiation
Secondary Outcomes (1)
Overall Survival (OS)
Up to 60 months from therapy initiation
Study Arms (6)
Discovery Cohort - Long PFS Group (Responder)
Patients with metastatic colorectal cancer (mCRC) who received EGFR- or VEGF-targeted therapy and achieved a progression-free survival (PFS) ≥ 12 months, classified as clinical responders. Pre-treatment plasma cfDNA samples were analyzed by genome-wide 5mC/5hmC sequencing to identify epigenetic determinants associated with durable treatment response.
Discovery Cohort - Short PFS Group (Non-Responder)
Patients with mCRC who received EGFR- or VEGF-targeted therapy and showed progression-free survival (PFS) \< 12 months, classified as non-responders. Pre-treatment cfDNA samples were analyzed using genome-wide 5mC/5hmC sequencing and compared with long-PFS responders to identify differential methylation and hydroxymethylation patterns associated with resistance.
Training Cohort - Long PFS Group (Responder)
Independent mCRC cohort with PFS ≥ 12 months following EGFR- or VEGF-targeted therapy. Candidate cfDNA 5mC/5hmC markers identified in the discovery phase were validated using targeted sequencing (EpiDRIVE assay) to construct the predictive epigenetic biomarker panel.
Training Cohort - Short PFS Group (Non-Responder)
Independent mCRC patients with PFS \< 12 months after targeted therapy. Targeted sequencing using the EpiDRIVE assay was conducted to refine and optimize the predictive model by comparing short- vs long-PFS cases.
Validation Cohort - Long PFS Group (Responder)
Separate validation cohort of mCRC patients achieving PFS ≥ 12 months under EGFR- or VEGF-targeted therapy. qPCR-based EpiDRIVE assay was used to confirm predictive accuracy of the cfDNA 5mC/5hmC biomarker panel in identifying durable responders.
Validation Cohort - Short PFS Group (Non-Responder)
Independent validation cohort of mCRC patients with PFS \< 12 months after targeted therapy. cfDNA was analyzed using the qPCR-based EpiDRIVE assay to assess model specificity and distinguish non-responders from long-term responders.
Interventions
High-throughput genome-wide sequencing of cfDNA methylation (5mC) and hydroxymethylation (5hmC) profiles from pre-treatment plasma samples in the discovery cohort to identify epigenetic determinants of targeted-therapy response (PFS ≥ 12 months vs \< 12 months).
Targeted sequencing or qPCR-based validation of cfDNA 5mC/5hmC markers identified from the discovery phase to develop and validate a predictive biomarker model discriminating patients with long vs short progression-free survival after EGFR-/VEGF-targeted therapy.
Eligibility Criteria
Patients diagnosed with Stage IV colorectal adenocarcinoma who received EGFR-targeted or VEGF-targeted therapy and had available pre-treatment plasma samples for cfDNA analysis.
You may qualify if:
- Histologically confirmed metastatic colorectal adenocarcinoma (mCRC).
- Received EGFR-targeted therapy (cetuximab/panitumumab) or VEGF-targeted therapy (bevacizumab).
- Availability of pre-treatment plasma sample for cfDNA analysis.
- Documented radiologic response evaluation (RECIST 1.1).
- RAS/BRAF mutation status known.
You may not qualify if:
- Inadequate cfDNA quality or low cfDNA yield.
- Non-adenocarcinoma histology.
- Concurrent or prior other active malignancy.
- Active inflammatory or autoimmune disease affecting cfDNA methylation profiles.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
City of Hope Medical Center
Duarte, California, 91016, United States
Related Publications (15)
Xu C, Mannucci A, Esposito F, Oliveres H, Alonso-Orduna V, Yubero A, Fernandez-Martos C, Salud A, Gallego J, Martin-Richard M, Fernandez-Plana J, Guillot M, Aparicio J, Fakih M, Kopetz S, Feliu J, Maurel J, Goel A. An Exosome-Based Liquid Biopsy Predicts Depth of Response and Survival Outcomes to Cetuximab and Panitumumab in Metastatic Colorectal Cancer: The EXONERATE Study. Clin Cancer Res. 2025 Mar 17;31(6):1002-1015. doi: 10.1158/1078-0432.CCR-24-1934.
PMID: 39820673BACKGROUNDKoroukian SM, Booker BD, Vu L, Schumacher FR, Rose J, Cooper GS, Selfridge JE, Markt SC. Receipt of Targeted Therapy and Survival Outcomes in Patients With Metastatic Colorectal Cancer. JAMA Netw Open. 2023 Jan 3;6(1):e2250030. doi: 10.1001/jamanetworkopen.2022.50030.
PMID: 36656585BACKGROUNDTirendi S, Marengo B, Domenicotti C, Bassi AM, Almonti V, Vernazza S. Colorectal cancer and therapy response: a focus on the main mechanisms involved. Front Oncol. 2023 Jul 19;13:1208140. doi: 10.3389/fonc.2023.1208140. eCollection 2023.
PMID: 37538108BACKGROUNDXie YH, Chen YX, Fang JY. Comprehensive review of targeted therapy for colorectal cancer. Signal Transduct Target Ther. 2020 Mar 20;5(1):22. doi: 10.1038/s41392-020-0116-z.
PMID: 32296018BACKGROUNDCai Z, Zhang J, He Y, Xia L, Dong X, Chen G, Zhou Y, Hu X, Zhong S, Wang Y, Chen H, Xie D, Liu X, Liu J. Liquid biopsy by combining 5-hydroxymethylcytosine signatures of plasma cell-free DNA and protein biomarkers for diagnosis and prognosis of hepatocellular carcinoma. ESMO Open. 2021 Feb;6(1):100021. doi: 10.1016/j.esmoop.2020.100021. Epub 2021 Jan 25.
PMID: 33508734BACKGROUNDZeng C, Stroup EK, Zhang Z, Chiu BC, Zhang W. Towards precision medicine: advances in 5-hydroxymethylcytosine cancer biomarker discovery in liquid biopsy. Cancer Commun (Lond). 2019 Mar 29;39(1):12. doi: 10.1186/s40880-019-0356-x.
PMID: 30922396BACKGROUNDWest-Szymanski DC, Zhang Z, Cui XL, Kowitwanich K, Gao L, Deng Z, Dougherty U, Williams C, Merkle S, He C, Zhang W, Bissonnette M. 5-Hydroxymethylated Biomarkers in Cell-Free DNA Predict Occult Colorectal Cancer up to 36 Months Before Diagnosis in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. JCO Precis Oncol. 2024 Oct;8:e2400277. doi: 10.1200/PO.24.00277. Epub 2024 Oct 11.
PMID: 39393034BACKGROUNDWest-Szymanski DC, Zhang Z, Cui XL, Kowitwanich K, Gao L, Deng Z, Dougherty U, Williams C, Merkle S, Moore M, He C, Bissonnette M, Zhang W. Machine learning identifies cell-free DNA 5-hydroxymethylation biomarkers that detect occult colorectal cancer in PLCO Screening Trial subjects. bioRxiv [Preprint]. 2024 Feb 26:2024.02.25.581955. doi: 10.1101/2024.02.25.581955.
PMID: 38464122BACKGROUNDSiegel RL, Kratzer TB, Giaquinto AN, Sung H, Jemal A. Cancer statistics, 2025. CA Cancer J Clin. 2025 Jan-Feb;75(1):10-45. doi: 10.3322/caac.21871. Epub 2025 Jan 16.
PMID: 39817679BACKGROUNDSong D, Zhang Z, Zheng J, Zhang W, Cai J. 5-Hydroxymethylcytosine modifications in circulating cell-free DNA: frontiers of cancer detection, monitoring, and prognostic evaluation. Biomark Res. 2025 Mar 7;13(1):39. doi: 10.1186/s40364-025-00751-9.
PMID: 40055844BACKGROUNDBaldassarre G, L de la Serna I, Vallette FM. Death-ision: the link between cellular resilience and cancer resistance to treatments. Mol Cancer. 2025 May 15;24(1):144. doi: 10.1186/s12943-025-02339-1.
PMID: 40375296BACKGROUNDFerrara R, Imbimbo M, Malouf R, Paget-Bailly S, Calais F, Marchal C, Westeel V. Single or combined immune checkpoint inhibitors compared to first-line platinum-based chemotherapy with or without bevacizumab for people with advanced non-small cell lung cancer. Cochrane Database Syst Rev. 2021 Apr 30;4(4):CD013257. doi: 10.1002/14651858.CD013257.pub3.
PMID: 33930176BACKGROUNDGuler GD, Ning Y, Coruh C, Mognol GP, Phillips T, Nabiyouni M, Hazen K, Scott A, Volkmuth W, Levy S. Plasma cell-free DNA hydroxymethylation profiling reveals anti-PD-1 treatment response and resistance biology in non-small cell lung cancer. J Immunother Cancer. 2024 Jan 11;12(1):e008028. doi: 10.1136/jitc-2023-008028.
PMID: 38212123BACKGROUNDShao J, Xu Y, Olsen RJ, Kasparian S, Sun K, Mathur S, Zhang J, He C, Chen SH, Bernicker EH, Li Z. 5-Hydroxymethylcytosine in Cell-Free DNA Predicts Immunotherapy Response in Lung Cancer. Cells. 2024 Apr 19;13(8):715. doi: 10.3390/cells13080715.
PMID: 38667328BACKGROUNDLi Q, Huang CC, Huang S, Tian Y, Huang J, Bitaraf A, Dong X, Nevalanen MT, Patel M, Wong J, Zhang J, Manley BJ, Park JY, Kohli M, Gore EM, Kilari D, Wang L. 5-hydroxymethylcytosine sequencing in plasma cell-free DNA identifies unique epigenomic features in prostate cancer patients resistant to androgen deprivation therapies. medRxiv [Preprint]. 2024 Oct 17:2023.10.13.23296758. doi: 10.1101/2023.10.13.23296758.
PMID: 37904926BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Ajay Goel, PhD
City of Hope Medical Center
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 3, 2025
First Posted
November 5, 2025
Study Start
June 21, 2024
Primary Completion (Estimated)
June 18, 2026
Study Completion (Estimated)
June 18, 2026
Last Updated
November 5, 2025
Record last verified: 2025-11
Data Sharing
- IPD Sharing
- Will not share
Data collected for the study will be made available to others, including de-identified participant data, at publication, via a signed data access agreement and at the discretion of the investigators' approval of the proposed use of such data