Clinical trial · Observational
Development of a Prediction Platform for Adjuvant Treatment and Prognosis in Resected Pancreatic Cancer Using Organoid
Development of a Prediction Platform for Adjuvant Treatment and Prognosis in Pancreatic Cancer Using Ex Vivo Analysis of Organoid Culture
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The investigators create organoid from the pancreatic cancer tissue obtained via EUS-FNA and EUS-FNB within the pancreatic cancer diagnostic process. And also the investigators create organoid from the pancreatic cancer tissue obtained after surgery as part of the pancreatic cancer treatment process. Check for the reactivity to anti-cancer drugs through cell viability assay after treating with various anti-cancer drugs, such as anti-cancer drugs used as adjuvant chemotherapy for pancreatic cancer to the organoid. Also, perform genomic analysis on each organoid, and then check if there are any unique genomic mutations for each organoid. By recognizing the relationship between the unique genomic mutations and reactivity to the anti-cancer drug within pancreatic cancer patients eligible for surgery, the investigators aim to strategize appropriate adjuvant chemotherapy after surgery, thus developing a platform to predict the outcomes of each patient.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Pancreatic Cancer Resectable | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Organoid | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- Patients with resected pancreatic cancer who require adjuvant chemotherapy
- interventionNames
- Other: Organoid
Primary outcomes (1)
- measure
- Overall survival rate
- timeFrame
- From date of initiation of adjuvant chemotherapy after surgery until the date of death from any cause, assessed up to 36 months
- description
- The percentage of people in a group who are still alive for a certain period of time after they were started adjuvant chemotherapy for pancreatic cancer
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: 1. 18 years old or older 2. Newly discovered pancreatic cancer and not a relapse 3. Diagnosed with pancreatic cancer via EUS-FNA, EUS-FNB before surgery 4. Patients who can undergo surgery for pancreatic cancer 5. Diagnosed with pancreatic cancer from the final tissue pathology diagnosis after surgery 6. who is in need of adjuvant chemotherapy after surgery 7. Able to make decisions for oneself for participation 8. Has obtained voluntary consent in written form (if 70 years of age or older, receive consent from the guardian as well) Exclusion Criteria: * None
References
Publications (9)
- BACKGROUNDIto Y, Inoue E, Matsui Y, Kobuchi S, Moyama C, Amagase K, Yoshimura M, Ikehara Y, Nakata S, Nakanishi H. Cytology-based Detection of Circulating Tumour Cells in Human Pancreatic Cancer Xenograft Models With KRAS Mutation. Anticancer Res. 2020 Dec;40(12):6781-6789. doi: 10.21873/anticanres.14701. PMID 33288571
- BACKGROUNDHuang L, Bockorny B, Paul I, Akshinthala D, Frappart PO, Gandarilla O, Bose A, Sanchez-Gonzalez V, Rouse EE, Lehoux SD, Pandell N, Lim CM, Clohessy JG, Grossman J, Gonzalez R, Del Pino SP, Daaboul G, Sawhney MS, Freedman SD, Kleger A, Cummings RD, Emili A, Muthuswamy LB, Hidalgo M, Muthuswamy SK. PDX-derived organoids model in vivo drug response and secrete biomarkers. JCI Insight. 2020 Nov 5;5(21):e135544. doi: 10.1172/jci.insight.135544. PMID 32990680
- BACKGROUNDNi XG, Bai XF, Mao YL, Shao YF, Wu JX, Shan Y, Wang CF, Wang J, Tian YT, Liu Q, Xu DK, Zhao P. The clinical value of serum CEA, CA19-9, and CA242 in the diagnosis and prognosis of pancreatic cancer. Eur J Surg Oncol. 2005 Mar;31(2):164-9. doi: 10.1016/j.ejso.2004.09.007. PMID 15698733
- BACKGROUNDBrody JR, Witkiewicz AK, Yeo CJ. The past, present, and future of biomarkers: a need for molecular beacons for the clinical management of pancreatic cancer. Adv Surg. 2011;45:301-21. doi: 10.1016/j.yasu.2011.04.002. No abstract available. PMID 21954696
- BACKGROUNDLeary RJ, Kinde I, Diehl F, Schmidt K, Clouser C, Duncan C, Antipova A, Lee C, McKernan K, De La Vega FM, Kinzler KW, Vogelstein B, Diaz LA Jr, Velculescu VE. Development of personalized tumor biomarkers using massively parallel sequencing. Sci Transl Med. 2010 Feb 24;2(20):20ra14. doi: 10.1126/scitranslmed.3000702. PMID 20371490
- BACKGROUNDMcKernan KJ, Peckham HE, Costa GL, McLaughlin SF, Fu Y, Tsung EF, Clouser CR, Duncan C, Ichikawa JK, Lee CC, Zhang Z, Ranade SS, Dimalanta ET, Hyland FC, Sokolsky TD, Zhang L, Sheridan A, Fu H, Hendrickson CL, Li B, Kotler L, Stuart JR, Malek JA, Manning JM, Antipova AA, Perez DS, Moore MP, Hayashibara KC, Lyons MR, Beaudoin RE, Coleman BE, Laptewicz MW, Sannicandro AE, Rhodes MD, Gottimukkala RK, Yang S, Bafna V, Bashir A, MacBride A, Alkan C, Kidd JM, Eichler EE, Reese MG, De La Vega FM, Blanchard AP. Sequence and structural variation in a human genome uncovered by short-read, massively parallel ligation sequencing using two-base encoding. Genome Res. 2009 Sep;19(9):1527-41. doi: 10.1101/gr.091868.109. Epub 2009 Jun 22.