- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07224802
Forecasting Occult liveR Metastasis Using an Exosomal Signature for Intelligent Guided Hepatic Targeting (FORESIGHT)
An Exosome-based Liquid Biopsy Signature for Preoperative Identification of Occult Liver Metastasis in Patients With Pancreatic Ductal Adenocarcinoma
Early liver metastasis (Early-LiM) is the most significant prognostic factor in pancreatic ductal adenocarcinoma (PDAC) and is thought to originate from occult micrometastases present at the time of surgery. Reliable preoperative detection of such lesions remains an unmet clinical need.
The EXELiM study aims to develop and validate a circulating exosomal microRNA (exo-miRNA)-based liquid biopsy assay to accurately identify PDAC patients at high risk of occult liver metastasis before surgery. By integrating machine learning with multi-institutional plasma exosome profiling, this study seeks to enable biology-driven patient stratification and guide treatment sequencing toward precision oncology.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest human malignancies, with a 5-year overall survival rate below 10%. Even after curative-intent pancreatectomy, over 70% of patients experience disease recurrence, with early liver metastasis (within six months postoperatively) representing the most aggressive and fatal pattern.
Emerging evidence indicates that pancreatic tumors release exosomes that modulate the liver microenvironment, establishing a premetastatic niche that facilitates early colonization. We hypothesize that circulating exosomal microRNAs reflect these biological processes and can serve as non-invasive biomarkers for detecting occult liver metastasis.
In this multi-center observational study, preoperative plasma-derived exosomes from PDAC patients are analyzed using next-generation small RNA sequencing and validated by RT-qPCR. A machine learning model is employed to integrate exo-miRNA expression profiles and clinical variables, yielding a predictive score for early liver metastasis risk.
The study evaluates the diagnostic accuracy, prognostic utility, and clinical benefit of the exo-miRNA panel compared to conventional biomarkers such as CA19-9.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
-
-
California
-
Duarte, California, United States, 91016
- City of Hope Medical Center
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Histologically confirmed pancreatic ductal adenocarcinoma (PDAC)
- Undergoing curative-intent pancreatectomy
- Availability of preoperative plasma samples
- Complete clinical and follow-up data
- Written informed consent obtained
Exclusion Criteria:
- Synchronous or secondary malignancies
- Non-adenocarcinoma histology
- Lack of informed consent
- Incomplete plasma sample data
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Training Cohort - PDAC with Occult Liver Metastasis
Patients with PDAC who were found to have occult liver metastases at the time of or shortly after curative-intent pancreatectomy (within 6 months post-surgery), in the first cohort (training set).
|
Quantitative reverse-transcription PCR (qRT-PCR)-based validation assay performed on preoperative plasma samples from PDAC patients in the training and validation cohorts. Candidate microRNAs identified by small RNA sequencing were tested using the EXELiM assay to validate their predictive accuracy for occult liver metastasis detection prior to surgery. |
|
Training Cohort - PDAC without Occult Liver Metastasis
Patients with PDAC who did not develop liver metastasis for at least 6 months after curative-intent surgery in the first cohort (training set).
|
Quantitative reverse-transcription PCR (qRT-PCR)-based validation assay performed on preoperative plasma samples from PDAC patients in the training and validation cohorts. Candidate microRNAs identified by small RNA sequencing were tested using the EXELiM assay to validate their predictive accuracy for occult liver metastasis detection prior to surgery. |
|
Validation Cohort - PDAC with Occult Liver Metastasis
Patients with PDAC who were found to have occult liver metastases (early postoperative hepatic recurrence within 6 months) in the second cohort (validation set).
|
Quantitative reverse-transcription PCR (qRT-PCR)-based validation assay performed on preoperative plasma samples from PDAC patients in the training and validation cohorts. Candidate microRNAs identified by small RNA sequencing were tested using the EXELiM assay to validate their predictive accuracy for occult liver metastasis detection prior to surgery. |
|
Validation Cohort - PDAC without Occult Liver Metastasis
Patients with PDAC who did not develop liver metastasis for at least 6 months after curative-intent surgery in the second cohort (validation set).
|
Quantitative reverse-transcription PCR (qRT-PCR)-based validation assay performed on preoperative plasma samples from PDAC patients in the training and validation cohorts. Candidate microRNAs identified by small RNA sequencing were tested using the EXELiM assay to validate their predictive accuracy for occult liver metastasis detection prior to surgery. |
|
Discovery Cohort - PDAC with Occult Liver Metastasis
Patients with PDAC who were found to have occult liver metastases at the time of or shortly after curative-intent pancreatectomy (within 6 months post-surgery), in the discovery cohort.
|
High-throughput small RNA sequencing performed on preoperative plasma samples from PDAC patients in the discovery cohort to identify exosome-derived microRNAs associated with occult liver metastasis or early postoperative hepatic recurrence.
|
|
Discovery Cohort - PDAC without Occult Liver Metastasis
Patients with PDAC who did not develop liver metastasis for at least 6 months after curative-intent surgery in the discovery cohort.
|
High-throughput small RNA sequencing performed on preoperative plasma samples from PDAC patients in the discovery cohort to identify exosome-derived microRNAs associated with occult liver metastasis or early postoperative hepatic recurrence.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Specificity
Time Frame: Through study completion, an average of 3 year
|
True Negative Rate: probability of a negative test result conditioned on absence of early liver metastasis
|
Through study completion, an average of 3 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensitivity
Time Frame: Through study completion, an average of 3 year
|
True Positive Rate: probability of a positive test result conditioned on the presence of early liver metastasis
|
Through study completion, an average of 3 year
|
|
Area Under the Receiver Operating Characteristic Curve (AUC)
Time Frame: Through study completion, an average of 3 year
|
Description: AUC representing the overall discriminative ability of the circRNA-based model.
|
Through study completion, an average of 3 year
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Ajay Goel, PhD, City of Hope Medical Center
Publications and helpful links
General Publications
- Lee JW, Stone ML, Porrett PM, Thomas SK, Komar CA, Li JH, Delman D, Graham K, Gladney WL, Hua X, Black TA, Chien AL, Majmundar KS, Thompson JC, Yee SS, O'Hara MH, Aggarwal C, Xin D, Shaked A, Gao M, Liu D, Borad MJ, Ramanathan RK, Carpenter EL, Ji A, de Beer MC, de Beer FC, Webb NR, Beatty GL. Hepatocytes direct the formation of a pro-metastatic niche in the liver. Nature. 2019 Mar;567(7747):249-252. doi: 10.1038/s41586-019-1004-y. Epub 2019 Mar 6.
- McGuigan A, Kelly P, Turkington RC, Jones C, Coleman HG, McCain RS. Pancreatic cancer: A review of clinical diagnosis, epidemiology, treatment and outcomes. World J Gastroenterol. 2018 Nov 21;24(43):4846-4861. doi: 10.3748/wjg.v24.i43.4846.
- Kleeff J, Korc M, Apte M, La Vecchia C, Johnson CD, Biankin AV, Neale RE, Tempero M, Tuveson DA, Hruban RH, Neoptolemos JP. Pancreatic cancer. Nat Rev Dis Primers. 2016 Apr 21;2:16022. doi: 10.1038/nrdp.2016.22.
- Siegel 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.
- Costa-Silva B, Aiello NM, Ocean AJ, Singh S, Zhang H, Thakur BK, Becker A, Hoshino A, Mark MT, Molina H, Xiang J, Zhang T, Theilen TM, Garcia-Santos G, Williams C, Ararso Y, Huang Y, Rodrigues G, Shen TL, Labori KJ, Lothe IM, Kure EH, Hernandez J, Doussot A, Ebbesen SH, Grandgenett PM, Hollingsworth MA, Jain M, Mallya K, Batra SK, Jarnagin WR, Schwartz RE, Matei I, Peinado H, Stanger BZ, Bromberg J, Lyden D. Pancreatic cancer exosomes initiate pre-metastatic niche formation in the liver. Nat Cell Biol. 2015 Jun;17(6):816-26. doi: 10.1038/ncb3169. Epub 2015 May 18.
- Hoshino A, Costa-Silva B, Shen TL, Rodrigues G, Hashimoto A, Tesic Mark M, Molina H, Kohsaka S, Di Giannatale A, Ceder S, Singh S, Williams C, Soplop N, Uryu K, Pharmer L, King T, Bojmar L, Davies AE, Ararso Y, Zhang T, Zhang H, Hernandez J, Weiss JM, Dumont-Cole VD, Kramer K, Wexler LH, Narendran A, Schwartz GK, Healey JH, Sandstrom P, Labori KJ, Kure EH, Grandgenett PM, Hollingsworth MA, de Sousa M, Kaur S, Jain M, Mallya K, Batra SK, Jarnagin WR, Brady MS, Fodstad O, Muller V, Pantel K, Minn AJ, Bissell MJ, Garcia BA, Kang Y, Rajasekhar VK, Ghajar CM, Matei I, Peinado H, Bromberg J, Lyden D. Tumour exosome integrins determine organotropic metastasis. Nature. 2015 Nov 19;527(7578):329-35. doi: 10.1038/nature15756. Epub 2015 Oct 28.
- Bojmar L, Zambirinis CP, Hernandez JM, Chakraborty J, Shaashua L, Kim J, Johnson KE, Hanna S, Askan G, Burman J, Ravichandran H, Zheng J, Jolissaint JS, Srouji R, Song Y, Choubey A, Kim HS, Cioffi M, van Beek E, Sigel C, Jessurun J, Velasco Riestra P, Blomstrand H, Jonsson C, Jonsson A, Lauritzen P, Buehring W, Ararso Y, Hernandez D, Vinagolu-Baur JP, Friedman M, Glidden C, Firmenich L, Lieberman G, Mejia DL, Nasar N, Mutvei AP, Paul DM, Bram Y, Costa-Silva B, Basturk O, Boudreau N, Zhang H, Matei IR, Hoshino A, Kelsen D, Sagi I, Scherz A, Scherz-Shouval R, Yarden Y, Oren M, Egeblad M, Lewis JS, Keshari K, Grandgenett PM, Hollingsworth MA, Rajasekhar VK, Healey JH, Bjornsson B, Simeone DM, Tuveson DA, Iacobuzio-Donahue CA, Bromberg J, Vincent CT, O'Reilly EM, DeMatteo RP, Balachandran VP, D'Angelica MI, Kingham TP, Allen PJ, Simpson AL, Elemento O, Sandstrom P, Schwartz RE, Jarnagin WR, Lyden D. Multi-parametric atlas of the pre-metastatic liver for prediction of metastatic outcome in early-stage pancreatic cancer. Nat Med. 2024 Aug;30(8):2170-2180. doi: 10.1038/s41591-024-03075-7. Epub 2024 Jun 28.
- Tang D, Wang D, Yuan Z, Xue X, Zhang Y, An Y, Chen J, Tu M, Lu Z, Wei J, Jiang K, Miao Y. Persistent activation of pancreatic stellate cells creates a microenvironment favorable for the malignant behavior of pancreatic ductal adenocarcinoma. Int J Cancer. 2013 Mar 1;132(5):993-1003. doi: 10.1002/ijc.27715. Epub 2012 Oct 5.
- Grunwald B, Harant V, Schaten S, Fruhschutz M, Spallek R, Hochst B, Stutzer K, Berchtold S, Erkan M, Prokopchuk O, Martignoni M, Esposito I, Heikenwalder M, Gupta A, Siveke J, Saftig P, Knolle P, Wohlleber D, Kruger A. Pancreatic Premalignant Lesions Secrete Tissue Inhibitor of Metalloproteinases-1, Which Activates Hepatic Stellate Cells Via CD63 Signaling to Create a Premetastatic Niche in the Liver. Gastroenterology. 2016 Nov;151(5):1011-1024.e7. doi: 10.1053/j.gastro.2016.07.043. Epub 2016 Aug 6.
- Houg DS, Bijlsma MF. The hepatic pre-metastatic niche in pancreatic ductal adenocarcinoma. Mol Cancer. 2018 Jun 14;17(1):95. doi: 10.1186/s12943-018-0842-9.
- Chikhladze S, Lederer AK, Kousoulas L, Reinmuth M, Sick O, Fichtner-Feigl S, Wittel UA. Adjuvant chemotherapy after surgery for pancreatic ductal adenocarcinoma: retrospective real-life data. World J Surg Oncol. 2019 Nov 9;17(1):185. doi: 10.1186/s12957-019-1732-3.
- Merkow RP, Bilimoria KY, Tomlinson JS, Paruch JL, Fleming JB, Talamonti MS, Ko CY, Bentrem DJ. Postoperative complications reduce adjuvant chemotherapy use in resectable pancreatic cancer. Ann Surg. 2014 Aug;260(2):372-7. doi: 10.1097/SLA.0000000000000378.
- Powell-Brett S, Pande R, Roberts KJ. Achieving 'Marginal Gains' to Optimise Outcomes in Resectable Pancreatic Cancer. Cancers (Basel). 2021 Apr 1;13(7):1669. doi: 10.3390/cancers13071669.
- Zambirinis CP, Midya A, Chakraborty J, Chou JF, Zheng J, McIntyre CA, Koszalka MA, Wang T, Do RK, Balachandran VP, Drebin JA, Kingham TP, D'Angelica MI, Allen PJ, Gonen M, Simpson AL, Jarnagin WR. Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis? Ann Surg Oncol. 2022 Aug;29(8):4962-4974. doi: 10.1245/s10434-022-11579-0. Epub 2022 Apr 3.
- Seelen LWF, Floortje van Oosten A, Brada LJH, Groot VP, Daamen LA, Walma MS, van der Lek BF, Liem MSL, Patijn GA, Stommel MWJ, van Dam RM, Koerkamp BG, Busch OR, de Hingh IHJT, van Eijck CHJ, Besselink MG, Burkhart RA, Borel Rinkes IHM, Wolfgang CL, Molenaar IQ, He J, van Santvoort HC. Early Recurrence After Resection of Locally Advanced Pancreatic Cancer Following Induction Therapy: An International Multicenter Study. Ann Surg. 2023 Jul 1;278(1):118-126. doi: 10.1097/SLA.0000000000005666. Epub 2022 Aug 11.
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
Keywords
Other Study ID Numbers
- 19288/FORESIGHT
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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