- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06438055
Clinical Treatment of Refractory Breast Cancer Based on Organoid Drug Sensitivity Results
May 26, 2024 updated by: Tianjin Medical University Cancer Institute and Hospital
This study aims to enroll refractory breast cancer patients.
Patient-derived organoid will be established, and drug sensitivity test will be conducted to intervene in the selection of clinical treatment plans.
Efficacy evaluation and prognosis analysis will also be conducted.
It is hoped that this study will provide a basis for the development of personalized treatment plans.
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Detailed Description
Forty patients with refractory breast cancer who met the inclusion criteria were enrolled in the study after signing an informed consent form.
Tumor samples were obtained through clinical puncture, and qualified samples were subjected to organoid modeling.
Perform drug sensitivity test on the established breast cancer organoids.
The drugs used are all that have been marketed and applied in clinical practice.
According to the results of organoid drug sensitivity analysis, the patient received a treatment plan with relatively sensitive drugs.
Follow up prognostic data and relevant clinical information of enrolled patients, conduct statistical analysis on the consistency between drug sensitivity test results and patient treatment response, and evaluate the clinical effectiveness of treatment plans guided by organoid drug sensitivity results.
Study Type
Interventional
Enrollment (Estimated)
40
Phase
- Not Applicable
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: Yehui Shi, PhD
- Phone Number: +8618622221183
- Email: shiyehui@tjmuch.com
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
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Female, aged ≥ 18 years and ≤ 75 years old;
- Breast cancer confirmed by histology or cytology;
- One of the following two conditions shall be met: a) Operable breast cancer: Recurrent progression during adjuvant therapy; or the time from initial treatment to the onset of disease progression is less than or equal to 2 years; b) Non-operable breast cancer: patients who have changed two line treatment plans within 6 months;
- Being able to obtain sufficient fresh tissue specimens for organoid establishment through puncture;
- Expected survival time ≥ 3 months;
- The patient voluntarily joined this study and signed an informed consent form (ICF), with good compliance and cooperation in follow-up.
Exclusion Criteria:
- Pregnant and lactating women;
- Patients who have clinically significant (i.e. active) heart disease (such as congestive heart failure, symptomatic coronary artery disease, arrhythmia, etc.) or myocardial infarction within the past 12 months;
- Individuals with a history of abuse of psychotropic drugs who are unable to quit or have mental disorders;
- The researchers believe that patients are not suitable for inclusion.
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
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Organoid-Guided therapy
All patients will be included in a single-arm.
Participants will undergo biopsy of tumor tissue for subsequent organoid generation and drug sensitivity tests.
|
This study conducts drug sensitivity tests on various clinically approved drugs.
The most sensitive drug for the patient is selected for treatment.
This study aims to evaluate the clinical effectiveness of treatment plans guided by organoid drug sensitivity tests.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Objective Response Rate
Time Frame: 1-2 years
|
Percentage of patient's measurable disease who have achieved either complete response (CR) or partial response (PR) according to RECIST 1.1.
|
1-2 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Progressive free survival
Time Frame: 1-2 years
|
The time from initiation of treatment to the occurrence of disease progression or death.
|
1-2 years
|
|
Overall survival time
Time Frame: 2 years
|
The time from the date of randomization to the date of death for any cause.
Patients will be followed until their date of death or until final database closure.
|
2 years
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Principal Investigator: Yehui Shi, PhD, Tianjin Cancer Hospital
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
- Drost J, Clevers H. Organoids in cancer research. Nat Rev Cancer. 2018 Jul;18(7):407-418. doi: 10.1038/s41568-018-0007-6.
- Li M, Izpisua Belmonte JC. Organoids - Preclinical Models of Human Disease. N Engl J Med. 2019 Feb 7;380(6):569-579. doi: 10.1056/NEJMra1806175. No abstract available.
- Cao W, Chen HD, Yu YW, Li N, Chen WQ. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020. Chin Med J (Engl). 2021 Mar 17;134(7):783-791. doi: 10.1097/CM9.0000000000001474.
- Gralow JR, Burstein HJ, Wood W, Hortobagyi GN, Gianni L, von Minckwitz G, Buzdar AU, Smith IE, Symmans WF, Singh B, Winer EP. Preoperative therapy in invasive breast cancer: pathologic assessment and systemic therapy issues in operable disease. J Clin Oncol. 2008 Feb 10;26(5):814-9. doi: 10.1200/JCO.2007.15.3510.
- Loibl S, Poortmans P, Morrow M, Denkert C, Curigliano G. Breast cancer. Lancet. 2021 May 8;397(10286):1750-1769. doi: 10.1016/S0140-6736(20)32381-3. Epub 2021 Apr 1. Erratum In: Lancet. 2021 May 8;397(10286):1710.
- Seidlitz T, Merker SR, Rothe A, Zakrzewski F, von Neubeck C, Grutzmann K, Sommer U, Schweitzer C, Scholch S, Uhlemann H, Gaebler AM, Werner K, Krause M, Baretton GB, Welsch T, Koo BK, Aust DE, Klink B, Weitz J, Stange DE. Human gastric cancer modelling using organoids. Gut. 2019 Feb;68(2):207-217. doi: 10.1136/gutjnl-2017-314549. Epub 2018 Apr 27.
- Romero-Calvo I, Weber CR, Ray M, Brown M, Kirby K, Nandi RK, Long TM, Sparrow SM, Ugolkov A, Qiang W, Zhang Y, Brunetti T, Kindler H, Segal JP, Rzhetsky A, Mazar AP, Buschmann MM, Weichselbaum R, Roggin K, White KP. Human Organoids Share Structural and Genetic Features with Primary Pancreatic Adenocarcinoma Tumors. Mol Cancer Res. 2019 Jan;17(1):70-83. doi: 10.1158/1541-7786.MCR-18-0531. Epub 2018 Aug 31.
- Lei S, Zheng R, Zhang S, Chen R, Wang S, Sun K, Zeng H, Wei W, He J. Breast cancer incidence and mortality in women in China: temporal trends and projections to 2030. Cancer Biol Med. 2021 May 18;18(3):900-9. doi: 10.20892/j.issn.2095-3941.2020.0523. Online ahead of print.
- Potter DA, Herrera-Ponzanelli CA, Hinojosa D, Castillo R, Hernandez-Cruz I, Arrieta VA, Franklin MJ, Yee D. Recent advances in neoadjuvant therapy for breast cancer. Fac Rev. 2021 Jan 4;10:2. doi: 10.12703/r/10-2. eCollection 2021.
- Eiraku M, Watanabe K, Matsuo-Takasaki M, Kawada M, Yonemura S, Matsumura M, Wataya T, Nishiyama A, Muguruma K, Sasai Y. Self-organized formation of polarized cortical tissues from ESCs and its active manipulation by extrinsic signals. Cell Stem Cell. 2008 Nov 6;3(5):519-32. doi: 10.1016/j.stem.2008.09.002.
- Sachs N, de Ligt J, Kopper O, Gogola E, Bounova G, Weeber F, Balgobind AV, Wind K, Gracanin A, Begthel H, Korving J, van Boxtel R, Duarte AA, Lelieveld D, van Hoeck A, Ernst RF, Blokzijl F, Nijman IJ, Hoogstraat M, van de Ven M, Egan DA, Zinzalla V, Moll J, Boj SF, Voest EE, Wessels L, van Diest PJ, Rottenberg S, Vries RGJ, Cuppen E, Clevers H. A Living Biobank of Breast Cancer Organoids Captures Disease Heterogeneity. Cell. 2018 Jan 11;172(1-2):373-386.e10. doi: 10.1016/j.cell.2017.11.010. Epub 2017 Dec 7.
- Dekkers JF, Whittle JR, Vaillant F, Chen HR, Dawson C, Liu K, Geurts MH, Herold MJ, Clevers H, Lindeman GJ, Visvader JE. Modeling Breast Cancer Using CRISPR-Cas9-Mediated Engineering of Human Breast Organoids. J Natl Cancer Inst. 2020 May 1;112(5):540-544. doi: 10.1093/jnci/djz196.
- Chen P, Zhang X, Ding R, Yang L, Lyu X, Zeng J, Lei JH, Wang L, Bi J, Shao N, Shu D, Wu B, Wu J, Yang Z, Wang H, Wang B, Xiong K, Lu Y, Fu S, Choi TK, Lon NW, Zhang A, Tang D, Quan Y, Meng Y, Miao K, Sun H, Zhao M, Bao J, Zhang L, Xu X, Shi Y, Lin Y, Deng C. Patient-Derived Organoids Can Guide Personalized-Therapies for Patients with Advanced Breast Cancer. Adv Sci (Weinh). 2021 Nov;8(22):e2101176. doi: 10.1002/advs.202101176. Epub 2021 Oct 4.
- Chica-Parrado MR, Godoy-Ortiz A, Jimenez B, Ribelles N, Barragan I, Alba E. Resistance to Neoadjuvant Treatment in Breast Cancer: Clinicopathological and Molecular Predictors. Cancers (Basel). 2020 Jul 22;12(8):2012. doi: 10.3390/cancers12082012.
- Norman M, Rivers C, Lee YB, Idris J, Uney J. The increasing diversity of functions attributed to the SAFB family of RNA-/DNA-binding proteins. Biochem J. 2016 Dec 1;473(23):4271-4288. doi: 10.1042/BCJ20160649.
- Hashimoto T, Matsuda K, Kawata M. Scaffold attachment factor B (SAFB)1 and SAFB2 cooperatively inhibit the intranuclear mobility and function of ERalpha. J Cell Biochem. 2012 Sep;113(9):3039-50. doi: 10.1002/jcb.24182.
- Hutter K, Lohmuller M, Jukic A, Eichin F, Avci S, Labi V, Szabo TG, Hoser SM, Huttenhofer A, Villunger A, Herzog S. SAFB2 Enables the Processing of Suboptimal Stem-Loop Structures in Clustered Primary miRNA Transcripts. Mol Cell. 2020 Jun 4;78(5):876-889.e6. doi: 10.1016/j.molcel.2020.05.011.
- Hammerich-Hille S, Bardout VJ, Hilsenbeck SG, Osborne CK, Oesterreich S. Low SAFB levels are associated with worse outcome in breast cancer patients. Breast Cancer Res Treat. 2010 Jun;121(2):503-9. doi: 10.1007/s10549-008-0297-6. Epub 2009 Jan 10.
- Zhen H, Yao Y, Yang H. SAFB2 Inhibits the Progression of Breast Cancer by Suppressing the Wnt/beta-Catenin Signaling Pathway via NFAT5. Mol Biotechnol. 2023 Sep;65(9):1465-1475. doi: 10.1007/s12033-022-00649-z. Epub 2023 Jan 18.
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 (Estimated)
June 1, 2024
Primary Completion (Estimated)
June 1, 2025
Study Completion (Estimated)
June 1, 2026
Study Registration Dates
First Submitted
May 26, 2024
First Submitted That Met QC Criteria
May 26, 2024
First Posted (Actual)
May 31, 2024
Study Record Updates
Last Update Posted (Actual)
May 31, 2024
Last Update Submitted That Met QC Criteria
May 26, 2024
Last Verified
May 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- TJBCPDO01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
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.