Novel Therapy Target in Metastatic Prostate Cancer
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
- The protocol lists: Tissue.
- Who it may be relevant to
- Registry conditions: Prostate Neoplasms. Basic parameters: from 18 years · Male.
- 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
- China
- 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
Combining Multi-omics Analysis and Organoid Models to Search for Novel Therapy Target in Metastatic Prostate Cancer
Overview
The aim of this study is to use multiomics sequencing to explore the molecular characteristics of metastatic prostate cancer (mPCa), especially metastatic castration-resistant prostate cancer (mCRPC). At the same time, mCRPC models will be constructed, including organoids and animal models, serving as a basic and translational research platform to help identify novel drug targets for mPCa.
Detailed description
Although substantial progress in treatments for prostate cancer have been made in the past decades, distant metastasis and drug resistance remained a major cause of prostate cancer-related deaths. The five-year survival rate for men with mPCa was only 30% and all patients with mPCa would inevitably progress to the castration-resistant stage with limited therapeutic chance. In China, the current situation is more worrying, with rapidly increasing PCa incidence and higher proportion of mPCa diagnosed compared with the Western nations (\~30% vs \~5%).
Multiomics sequencing provides a promising strategy to discover the underlying molecular basis driving metastasis and resistance and identify the new treatment strategies for patients with mCRPC. The candidate drug target revealed by the multiomics sequencing could be further examined in the organoid and animal models, facilitating the clinical application from basic discovery.
This study can establish a mCRPC research system to find the molecular mechanism and potential intervention targets of mCRPC, thereby paving the way for the discovery of new treatments for mCRPC patients.
Interventions
- Other Tissue
Tissue will be derived from patients during a standard of care procedure
Primary outcome measures
- Multiple omics features [Time frame: 3 years]
- Organoids successfully generated from metastatic prostate cancer [Time frame: 3 years]
- Developing of biomarkers related to cancer metastasis and drug resistant [Time frame: 3 years]
Secondary outcome measures (3)
- Animal models successfully generated from patient derived prostate cancer organoids [Time frame: 3 years]
- Response of the prostate cancer organoids to the selected anti-cancer compounds [Time frame: 3 years]
- Response of the PDOX models to the selected anti-cancer compounds [Time frame: 3 years]
Eligibility criteria
Inclusion criteria
- Histologically confirmed prostate cancer
- metastatic disease confirmed by image examination
- Patients who can undergo surgery or biopsy for prostate cancer
- Able to provide informed consent
Exclusion criteria
- Patients diagnosed with other types of cancer besides prostate cancer
- Not accessible to surgery sample
- Patients fail to provide informed consent
- Other situation that researchers think are unsuitable for this study
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
China · 1 center
- Fudan University Shanghai Cancer Center — Shanghai
Publications
- Akhoundova D, Rubin MA. Clinical application of advanced multi-omics tumor profiling: Shaping precision oncology of the future. Cancer Cell. 2022 Sep 12;40(9):920-938. doi: 10.1016/j.ccell.2022.08.011. Epub 2022 Sep 1. PMID 36055231
- Yerly L, Pich-Bavastro C, Di Domizio J, Wyss T, Tissot-Renaud S, Cangkrama M, Gilliet M, Werner S, Kuonen F. Integrated multi-omics reveals cellular and molecular interactions governing the invasive niche of basal cell carcinoma. Nat Commun. 2022 Aug 20;13(1):4897. doi: 10.1038/s41467-022-32670-w. PMID 35986012
- Zhu Y, Mo M, Wei Y, Wu J, Pan J, Freedland SJ, Zheng Y, Ye D. Epidemiology and genomics of prostate cancer in Asian men. Nat Rev Urol. 2021 May;18(5):282-301. doi: 10.1038/s41585-021-00442-8. Epub 2021 Mar 10. PMID 33692499
- Wei Y, Wu J, Gu W, Qin X, Dai B, Lin G, Gan H, Freedland SJ, Zhu Y, Ye D. Germline DNA Repair Gene Mutation Landscape in Chinese Prostate Cancer Patients. Eur Urol. 2019 Sep;76(3):280-283. doi: 10.1016/j.eururo.2019.06.004. Epub 2019 Jun 24. PMID 31248605
- Gao D, Vela I, Sboner A, Iaquinta PJ, Karthaus WR, Gopalan A, Dowling C, Wanjala JN, Undvall EA, Arora VK, Wongvipat J, Kossai M, Ramazanoglu S, Barboza LP, Di W, Cao Z, Zhang QF, Sirota I, Ran L, MacDonald TY, Beltran H, Mosquera JM, Touijer KA, Scardino PT, Laudone VP, Curtis KR, Rathkopf DE, Morris MJ, Danila DC, Slovin SF, Solomon SB, Eastham JA, Chi P, Carver B, Rubin MA, Scher HI, Clevers H, PMID 25201530
- Guo C, Figueiredo I, Gurel B, Neeb A, Seed G, Crespo M, Carreira S, Rekowski J, Buroni L, Welti J, Bogdan D, Gallagher L, Sharp A, Fenor de la Maza MD, Rescigno P, Westaby D, Chandran K, Riisnaes R, Ferreira A, Miranda S, Cali B, Alimonti A, Bressan S, Nguyen AHT, Shen MM, Hawley JE, Obradovic A, Drake CG, Bertan C, Baker C, Tunariu N, Yuan W, de Bono JS. B7-H3 as a Therapeutic Target in Advanced PMID 36114082
Identifiers
NCT: NCT05577689 · PCa-Organoid