Breast Cancer Subtype Characterization Through Patient's Derived Organoids.
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Breast Cancer, Organoids. Basic parameters: 18 years — 70 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Italy
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
Breast Cancer Subtype Characterization Through Patient's Derived Organoids". (BCinsightPDO)
Overview
Development of tools to predict patients chemo-sensitivity and identification of corresponding biomarkers is an urgent challenge for BC patients lacking targeted therapies, such as TNBC, or for patients experiencing relapse after adjuvant chemotherapy or targeted therapies. The refinement of 3D-cultivation techniques, experienced in the last decade, has allowed cultivation of patients-derived cancer cells in organotypic structures, named patient-derived organoids (PDO), which preserve histologic, genomic and transcriptomic features of primary tumors. PDO allow propagation, pharmacological treatment and genetic manipulation of patients-derived cancer cells in a close to physiology setting, thus representing a promising tool in the development of personalized therapies
Detailed description
PDO have been shown to efficiently recapitulate ex-vivo the in vivo response to hormonal treatment of BC patients. These observations point to PDO as potential valuable tools for a rapid, personalized prospective evaluation of patient-specific chemo-sensitivity. Moreover, PDO can represent a valuable ex-vivo platform for screening new treatments, or combination of current treatments, in a medium-to-high-throughput fashion. Thus, development of a stable collection of PDO representing the heterogeneity of BC subtypes, including the evolution of recurrent disease, represents an extremely useful resource for both prospective and retrospective studies aimed at understanding the molecular phenotype associated with chemoresistance.
Primary outcome measures
- evaluate the histological and molecular conformity (yes/no) between PDO and matched primary and/or recurrent BC sample, in order to develop a live biobank of ER/PR+, HER2+ and TNBC PDO. [Time frame: 36 months]
- evaluate the sensitivity of ER/PR+, HER2+ and TNBC PDO to novel therapeutic agents in clinical trials for BC or other cancer types [Time frame: 42 months]
Secondary outcome measures (2)
- test the sensitivity of PDO to splicing-targeting treatments, either alone or in combination with other therapies [Time frame: 42 months]
- test the synergizing effects of agents splicing-targeting treatments to immunotherapies by co-culture experiments with autologous immune cells [Time frame: 42 months]
Eligibility criteria
Inclusion criteria
- women diagnosed with primary BC, eligible for surgical resection of the tumor according to national and international guidelines.
age between 18 and 70 years; newly diagnosed breast neoplasms, tumor size of at least 1.5 cm diameter.
Exclusion criteria
breast cancer diagnosed during pregnancy, neoadiuvant chemotherapy
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
Italy · 1 center
- IRCCS Fondazione Policlinico A. Gemelli — Roma
Publications
- Harbeck N, Gnant M. Breast cancer. Lancet. 2017 Mar 18;389(10074):1134-1150. doi: 10.1016/S0140-6736(16)31891-8. Epub 2016 Nov 17. PMID 27865536
- Garrido-Castro AC, Lin NU, Polyak K. Insights into Molecular Classifications of Triple-Negative Breast Cancer: Improving Patient Selection for Treatment. Cancer Discov. 2019 Feb;9(2):176-198. doi: 10.1158/2159-8290.CD-18-1177. Epub 2019 Jan 24. PMID 30679171
- Denkert C, Liedtke C, Tutt A, von Minckwitz G. Molecular alterations in triple-negative breast cancer-the road to new treatment strategies. Lancet. 2017 Jun 17;389(10087):2430-2442. doi: 10.1016/S0140-6736(16)32454-0. Epub 2016 Dec 7. PMID 27939063
- Liedtke C, Mazouni C, Hess KR, Andre F, Tordai A, Mejia JA, Symmans WF, Gonzalez-Angulo AM, Hennessy B, Green M, Cristofanilli M, Hortobagyi GN, Pusztai L. Response to neoadjuvant therapy and long-term survival in patients with triple-negative breast cancer. J Clin Oncol. 2008 Mar 10;26(8):1275-81. doi: 10.1200/JCO.2007.14.4147. Epub 2008 Feb 4. PMID 18250347
- Kornblihtt AR, Schor IE, Allo M, Dujardin G, Petrillo E, Munoz MJ. Alternative splicing: a pivotal step between eukaryotic transcription and translation. Nat Rev Mol Cell Biol. 2013 Mar;14(3):153-65. doi: 10.1038/nrm3525. Epub 2013 Feb 6. PMID 23385723
- Pagliarini V, Naro C, Sette C. Splicing Regulation: A Molecular Device to Enhance Cancer Cell Adaptation. Biomed Res Int. 2015;2015:543067. doi: 10.1155/2015/543067. Epub 2015 Jul 26. PMID 26273627
- Chabot B, Shkreta L. Defective control of pre-messenger RNA splicing in human disease. J Cell Biol. 2016 Jan 4;212(1):13-27. doi: 10.1083/jcb.201510032. PMID 26728853
- Karni R, de Stanchina E, Lowe SW, Sinha R, Mu D, Krainer AR. The gene encoding the splicing factor SF2/ASF is a proto-oncogene. Nat Struct Mol Biol. 2007 Mar;14(3):185-93. doi: 10.1038/nsmb1209. Epub 2007 Feb 18. PMID 17310252
Identifiers
NCT: NCT06315868 · 5590