- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02478931
Study of Personalized Cancer Therapy to Determine Response and Toxicity (UCSD_PREDICT)
March 25, 2026 updated by: Shu Mei Kato
UCSD Profile Related Evidence Determining Individualized Cancer Therapy (UCSD PREDICT)
The purpose of this study is to learn more about personalized cancer therapy including response to treatment and side effects.
Information about the tests and treatments a person received, or will receive, for their cancer will be collected from medical records to help the researchers determine whether or not patients respond better when their physicians choose to treat them according to the genetic makeup of their tumor.
Optional research tests may be performed on tissue, body cavity fluid, blood or urine provided, discarded biological samples taken during routine care that would normally be disposed of and not saved, or on blood samples collected for this study.
These research tests will be used to create a "profile" of the collected specimens which will describe unique characteristics about the genes involved in a person's cancer.
The tests will also help researchers look for biomarkers that may help predict how people respond to treatment.
Study Overview
Status
Recruiting
Conditions
Detailed Description
This is a correlative study of personalized medicine with retrospective and prospective components.
Patient medical records will be examined for results of molecular profiling obtained through standard of care testing to help understand, in a descriptive fashion, how well molecular testing might predict response to therapy.
Patient outcome parameters including, but not limited to, tumor response, time to treatment failure, patient survival, and toxicity will be analyzed, as well as pharmacodynamic (PD) and pharmacokinetic (PK) data when available.
This study will also include optional research-related testing of tissue, blood, or urine specimens via a variety of simple or advanced techniques such as molecular, proteomic, and metabolic analyses for biomarker discovery or for PK and PD parameters.
These specimens will be obtained from clinical specimens archived by UCSD Health System Pathology or from specimens collected via an existing IRB-approved protocol, discarded specimens, or from specimens collected for this protocol.
Study Type
Observational
Enrollment (Estimated)
10000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Lee Suzanna, MPH
- Phone Number: (858) 534-1306
- Email: sml012@health.ucsd.edu
Study Contact Backup
- Name: Michaela Doering, BS
- Phone Number: (858) 657-7512
- Email: mdoering@health.ucsd.edu
Study Locations
-
-
California
-
La Jolla, California, United States, 92093
- Recruiting
- UCSD Moores Cancer Center
-
Contact:
- Suzanna Lee
- Phone Number: 858-534-1306
- Email: sml012@ucsd.edu
-
Rancho Mirage, California, United States, 92270
- Recruiting
- Eisenhower Medical Center, Lucy Curci Cancer Center
-
Principal Investigator:
- Henry Tsai, MD
-
Contact:
- Stephanie W Farrell, MBA
- Phone Number: 760-837-8034
- Email: research@emc.org
-
San Diego, California, United States, 92123
- Recruiting
- Rady Children's Hospital, San Diego
-
Contact:
- Neera Gundrania, MPH
- Phone Number: 858-966-8823
- Email: ngundrania@rchsd.org
-
Principal Investigator:
- Dennis Kuo, MD
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
7 years and older (Child, Adult, Older Adult)
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
All patients with a diagnosis of cancer or a cancer-related condition
Description
Inclusion Criteria:
- Must be willing to provide informed consent, parent permission, or assent
Exclusion Criteria:
- Subjects unable to give informed consent, parent permission, or assent
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Comparison of Tumor Biomarker Profiling to Treatment Outcome
Time Frame: 4 years
|
Tumor molecular profiles will be correlated to treatment outcome, assessed by measures including the response rate, the rate of stable disease (SD)>6months/partial response (PR)/complete response (CR), progression-free survival (PFS), PFS ratio (comparison of the PFS used after molecular profiling to PFS on prior treatment), time to treatment failure, and overall survival.
Logistic regression models (univariable and multivariables) will be used when the outcome variable is dichotomous.
Kaplan-meier curves will be used for time-to event outcomes, and comparisons will be done with the log-rank test and Cox regression models.
|
4 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Comparison of Tumor Biomarker Profiling to Toxicity Outcome
Time Frame: 4 years
|
Tumor molecular profiles will be correlated to toxicity rate (serious toxic effects, primarily Grade 3 to 5 toxicity), but may also include less serious chronic toxicity.
Toxicity will be assessed using NCI CTCAE, version 4.0.
|
4 years
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Shumei Kato, MD, University of California, San Diego
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Louie BH, Kato S, Kim KH, Lim HJ, Lee S, Okamura R, Fanta PT, Kurzrock R. Precision medicine-based therapies in advanced colorectal cancer: The University of California San Diego Molecular Tumor Board experience. Mol Oncol. 2022 Jul;16(13):2575-2584. doi: 10.1002/1878-0261.13202. Epub 2022 Apr 8.
- Pham TV, Goodman AM, Sivakumar S, Frampton G, Kurzrock R. Intra-patient stability of tumor mutational burden from tissue biopsies at different time points in advanced cancers. Genome Med. 2021 Oct 12;13(1):159. doi: 10.1186/s13073-021-00979-8.
- Botta GP, Kato S, Patel H, Fanta P, Lee S, Okamura R, Kurzrock R. SWI/SNF complex alterations as a biomarker of immunotherapy efficacy in pancreatic cancer. JCI Insight. 2021 Sep 22;6(18):e150453. doi: 10.1172/jci.insight.150453.
- Kato S, Porter R, Okamura R, Lee S, Zelichov O, Tarcic G, Vidne M, Kurzrock R. Functional measurement of mitogen-activated protein kinase pathway activation predicts responsiveness of RAS-mutant cancers to MEK inhibitors. Eur J Cancer. 2021 May;149:184-192. doi: 10.1016/j.ejca.2021.01.055. Epub 2021 Apr 14.
- Kato S, Okamura R, Adashek JJ, Khalid N, Lee S, Nguyen V, Sicklick JK, Kurzrock R. Targeting G1/S phase cell-cycle genomic alterations and accompanying co-alterations with individualized CDK4/6 inhibitor-based regimens. JCI Insight. 2021 Jan 11;6(1):e142547. doi: 10.1172/jci.insight.142547.
- Nikanjam M, Riviere P, Goodman A, Barkauskas DA, Frampton G, Kurzrock R. Tumor mutational burden is not predictive of cytotoxic chemotherapy response. Oncoimmunology. 2020 Jun 24;9(1):1781997. doi: 10.1080/2162402X.2020.1781997.
- Charo LM, Eskander RN, Okamura R, Patel SP, Nikanjam M, Lanman RB, Piccioni DE, Kato S, McHale MT, Kurzrock R. Clinical implications of plasma circulating tumor DNA in gynecologic cancer patients. Mol Oncol. 2021 Jan;15(1):67-79. doi: 10.1002/1878-0261.12791. Epub 2020 Sep 17.
- Patwari A, Nishizaki D, Jensen T, DePietro P, Pabla S, Kato S, Kurzrock R. PD-L2 Landscape and Correlation with Outcome: An Immunomic Analysis. JCO Oncol Adv. 2026 Jan;3(1):e2500151. doi: 10.1200/oa-25-00151. Epub 2026 Jan 15.
- Nikanjam M, Kato S, Nishizaki D, Barkauskas DA, Pabla S, Nesline MK, Conroy JM, Naing A, Kurzrock R. ICOS and ICOS ligand: expression patterns and outcomes in oncology patients. Ther Adv Med Oncol. 2025 Apr 24;17:17588359251330514. doi: 10.1177/17588359251330514. eCollection 2025.
- Jeong AR, Trando AH, Thomas SD, Riviere P, Sakowski PJ, Sokol ES, Goodman AM, Kurzrock R. Higher tumor mutational burden and PD-L1 expression correlate with shorter survival in hematologic malignancies. Ther Adv Med Oncol. 2024 Aug 28;16:17588359241273053. doi: 10.1177/17588359241273053. eCollection 2024.
- Castro A, Goodman AM, Rane Z, Talwar JV, Frampton GM, Morris GP, Lippman SM, Zhang X, Kurzrock R, Carter H. Autoimmune HLA Alleles and Neoepitope Presentation Predict Post-Allogenic Transplant Relapse. J Immunother Precis Oncol. 2023 May 15;6(3):127-132. doi: 10.36401/JIPO-22-19. eCollection 2023 Aug.
- Jou J, Kato S, Miyashita H, Thangathurai K, Pabla S, DePietro P, Nesline MK, Conroy JM, Rubin E, Eskander RN, Kurzrock R. Cancer-Immunity Marker RNA Expression Levels across Gynecologic Cancers: Implications for Immunotherapy. Mol Cancer Ther. 2023 Nov 1;22(11):1352-1362. doi: 10.1158/1535-7163.MCT-23-0270.
- Bevins NJ, Okamura R, Montesion M, Adashek JJ, Goodman AM, Kurzrock R. Tumor Infiltrating Lymphocyte Expression of PD-1 Predicts Response to Anti-PD-1/PD-L1 Immunotherapy. J Immunother Precis Oncol. 2022 Sep 22;5(4):90-97. doi: 10.36401/JIPO-22-9. eCollection 2022 Nov.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
September 5, 2013
Primary Completion (Estimated)
September 5, 2026
Study Completion (Estimated)
September 5, 2027
Study Registration Dates
First Submitted
May 22, 2015
First Submitted That Met QC Criteria
June 18, 2015
First Posted (Estimated)
June 23, 2015
Study Record Updates
Last Update Posted (Actual)
March 31, 2026
Last Update Submitted That Met QC Criteria
March 25, 2026
Last Verified
March 1, 2026
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 130794
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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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