Clinical trial · Observational
a Prospective Registration Study for Patients With Advanced Refractory Solid Tumors
Patients With Advanced Refractory Solid Tumors Who Failed Standard Treatments and Matched Individualized Treatment Based on Tumor Molecular Characteristics: a Prospective Registration Study
- 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)
This is a prospective registration study for patients with advanced refractory solid tumors. Patients who meet the eligibility criteria will be included to participate in the study, and baseline information to be collected after signed informed consent. Patients will choose for themselves whether to carry out targeted therapy or other appropriate treatment methods. And we plan to follow up for at least 12 months or until disease progression or death.
Conditions
Conditions (4)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Effectiveness | — | UNRESOLVED | — |
| Feasibility | — | UNRESOLVED | — |
| Safety | — | UNRESOLVED | — |
| Targeted Molecular Therapy | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Targeted therapy | Drug | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (2)
- measure
- Objective Response Rate (ORR)
- timeFrame
- 2021.11-2023.11
- description
- ORR is judged based on RECIST 1.1 criteria for all treatment groups at each visit period.
- measure
- Proportion of targeted therapy guided by tumor molecular characteristics
- timeFrame
- 2021.11-2023.11
- description
- The proportion of all enrolled patients receiving targeted therapy guided by tumor molecular characteristics during the study period, would be calculated, which defined as having received one or more the treatments based on tumor molecular characteristics.
Secondary outcomes (6)
- measure
- Progression-free survival (PFS)
- timeFrame
- 2021.11-2023.11
- description
- PFS is defined as the time from the first administration to disease progression or death.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Recurrent or metastatic malignant solid tumor confirmed by histology or cytology * Disease progression or intolerance after receiving standard treatment * With evaluable lesions (RECIST 1.1 standard) * Tumor tissue pieces with sufficient formalin-fixed paraffin-embedded (FFPE) can be used for genetic testing * ECOG PS score 0-4 (3-4 points only for patients with tumor burden) * Sign the informed consent form Exclusion Criteria: * The subject is participating in any other clinical research; * Researchers believe that serious or uncontrolled medical diseases (ie uncontrolled diabetes, chronic kidney disease, chronic lung disease, or uncontrolled active infections, mental illnesses/social conditions that restrict compliance with research requirements) that will confuse the analysis of research treatment response ; * Patients during pregnancy or lactation
References
Publications (10)
- RESULTGerlinger M, Rowan AJ, Horswell S, Math M, Larkin J, Endesfelder D, Gronroos E, Martinez P, Matthews N, Stewart A, Tarpey P, Varela I, Phillimore B, Begum S, McDonald NQ, Butler A, Jones D, Raine K, Latimer C, Santos CR, Nohadani M, Eklund AC, Spencer-Dene B, Clark G, Pickering L, Stamp G, Gore M, Szallasi Z, Downward J, Futreal PA, Swanton C. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med. 2012 Mar 8;366(10):883-892. doi: 10.1056/NEJMoa1113205. PMID 22397650
- RESULTHoadley KA, Yau C, Wolf DM, Cherniack AD, Tamborero D, Ng S, Leiserson MDM, Niu B, McLellan MD, Uzunangelov V, Zhang J, Kandoth C, Akbani R, Shen H, Omberg L, Chu A, Margolin AA, Van't Veer LJ, Lopez-Bigas N, Laird PW, Raphael BJ, Ding L, Robertson AG, Byers LA, Mills GB, Weinstein JN, Van Waes C, Chen Z, Collisson EA; Cancer Genome Atlas Research Network; Benz CC, Perou CM, Stuart JM. Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin. Cell. 2014 Aug 14;158(4):929-944. doi: 10.1016/j.cell.2014.06.049. Epub 2014 Aug 7. PMID 25109877
- RESULTCiriello G, Miller ML, Aksoy BA, Senbabaoglu Y, Schultz N, Sander C. Emerging landscape of oncogenic signatures across human cancers. Nat Genet. 2013 Oct;45(10):1127-33. doi: 10.1038/ng.2762. PMID 24071851
- RESULTWheler J, Lee JJ, Kurzrock R. Unique molecular landscapes in cancer: implications for individualized, curated drug combinations. Cancer Res. 2014 Dec 15;74(24):7181-4. doi: 10.1158/0008-5472.CAN-14-2329. Epub 2014 Oct 17. PMID 25326492
- RESULTVon Hoff DD, Stephenson JJ Jr, Rosen P, Loesch DM, Borad MJ, Anthony S, Jameson G, Brown S, Cantafio N, Richards DA, Fitch TR, Wasserman E, Fernandez C, Green S, Sutherland W, Bittner M, Alarcon A, Mallery D, Penny R. Pilot study using molecular profiling of patients' tumors to find potential targets and select treatments for their refractory cancers. J Clin Oncol. 2010 Nov 20;28(33):4877-83. doi: 10.1200/JCO.2009.26.5983. Epub 2010 Oct 4. PMID 20921468