Clinical trialObsRecruiting
Study of Personalized Cancer Therapy to Determine Response and Toxicity
UCSD Profile Related Evidence Determining Individualized Cancer Therapy (UCSD PREDICT)
- Outcome
- Ongoing
- Phase
- Obs
- Status
- Recruiting
- Study type
- Observational
- Start
- 5 September 2013
- Expected end
- 5 September 2027
- Enrollment
- 10,000 participants
- Sites
- 3
- Primary outcomes
- Comparison of Tumor Biomarker Profiling to Treatment Outcome
- Sponsor
- Other
- Results posted
- No
- Last update
- 31 March 2026
These are registry fields. A trial card, with population, design, endpoints and result direction each tied to a quote, is not in the data yet.
Ask this document
Answers come only from this document’s own text, as highlighted quotes. If it doesn’t say, you are told so instead of given a guess.
Try
Source text
Brief summary public domain (ClinicalTrials.gov)
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.
Detailed description public domain (ClinicalTrials.gov)
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.
Papers 13
- Builds on itPD-L2 Landscape and Correlation with Outcome: An Immunomic Analysis. DOI 10.1200/oa-25-00151↗
- Builds on itICOS and ICOS ligand: expression patterns and outcomes in oncology patients. DOI 10.1177/17588359251330514↗
- Builds on itHigher tumor mutational burden and PD-L1 expression correlate with shorter survival in hematologic malignancies. DOI 10.1177/17588359241273053↗
- Builds on itCancer-Immunity Marker RNA Expression Levels across Gynecologic Cancers: Implications for Immunotherapy. DOI 10.1158/1535-7163.mct-23-0270↗
- Builds on itAutoimmune HLA Alleles and Neoepitope Presentation Predict Post-Allogenic Transplant Relapse. DOI 10.36401/jipo-22-19↗
- Builds on itTumor Infiltrating Lymphocyte Expression of PD-1 Predicts Response to Anti-PD-1/PD-L1 Immunotherapy. DOI 10.36401/jipo-22-9↗
- Builds on itPrecision medicine-based therapies in advanced colorectal cancer: The University of California San Diego Molecular Tumo… DOI 10.1002/1878-0261.13202↗
- Builds on itIntra-patient stability of tumor mutational burden from tissue biopsies at different time points in advanced cancers. DOI 10.1186/s13073-021-00979-8↗
- Builds on itSWI/SNF complex alterations as a biomarker of immunotherapy efficacy in pancreatic cancer. DOI 10.1172/jci.insight.150453↗
- Builds on itFunctional measurement of mitogen-activated protein kinase pathway activation predicts responsiveness of RAS-mutant can… DOI 10.1016/j.ejca.2021.01.055↗
- Builds on itTargeting G1/S phase cell-cycle genomic alterations and accompanying co-alterations with individualized CDK4/6 inhibito… DOI 10.1172/jci.insight.142547↗
- Builds on itClinical implications of plasma circulating tumor DNA in gynecologic cancer patients. DOI 10.1002/1878-0261.12791↗
- Builds on itTumor mutational burden is not predictive of cytotoxic chemotherapy response. DOI 10.1080/2162402x.2020.1781997↗