- ICH GCP
- Registro de ensaios clínicos dos EUA
- Ensaio Clínico NCT07795177
A Prospective Study Based on Spatial Multi-omics to Predict the Efficacy of ADT Combined With Second-generation Novel Hormonal Agents in Metastatic Hormone-sensitive Prostate Cancer.
26 de agosto de 2026 atualizado por: Sheng Tai, Anhui Medical University
A Prospective Study Based on Spatial Multi-Omics for Predicting the Efficacy of Androgen Deprivation Therapy Combined With Second-Generation Novel Endocrine Therapeutic Agents in Metastatic Hormone-Sensitive Prostate Cancer.
This study plans to enroll patients with newly diagnosed metastatic hormone-sensitive prostate cancer (mHSPC) and conduct a prospective, single-center, observational study.
By performing whole-exome sequencing (WES), Xenium spatial transcriptomics, and PhenoCycler-Fusion spatial single-cell proteomics (PCF analysis) on tumor tissue samples, we aim to comprehensively delineate the molecular landscape of patients with different spatial multi-omic profiles in the real-world setting.
We will investigate the associations between these molecular features and differential treatment responses to various therapeutic regimens, and further construct predictive models of treatment response.
Ultimately, this will enable precise evaluation of treatment outcomes across distinct molecular subtypes and provide evidence to support individualized precision diagnostics and therapeutics for patients with mHSPC.
Visão geral do estudo
Status
Ainda não está recrutando
Descrição detalhada
1、Baseline sample collection: Tumor tissues will be collected via prostate biopsy from enrolled patients.
The specimens will be tripartite: one aliquot for standard histopathology, one for WES, and one for spatial multi-omic profiling (Xenium and PhenoCycler-Fusion).2、Follow-up: Patients will be assessed every 3 months during therapy, with CBC, biochemistry, sex hormones, and serum PSA.
Prostate mpMRI will be repeated every 3 months.
PSA testing frequency may be modified if PSA progression occurs.
Follow-up continues until CRPC development or death.3、(1)Primary:
Build a prognostic model integrating Xenium, WES, and PCF data.(2)Secondary:
bPFS and OS.(3)Progression: PSA rise to ≥0.2 ng/mL confirmed on repeat testing after prior undetectable levels.
Tipo de estudo
Intervencional
Inscrição (Estimado)
40
Estágio
- Fase 2
Contactos e Locais
Esta seção fornece os detalhes de contato para aqueles que conduzem o estudo e informações sobre onde este estudo está sendo realizado.
Contato de estudo
- Nome: Sheng Tai, M.D.
- Número de telefone: 0551-62922234 86-18355159268
- E-mail: Taishengwk@163.com
Estude backup de contato
- Nome: Hongzhi Wang, M.D.
- Número de telefone: 0551-62922234 86-18846156838
- E-mail: wanghongzhi0830@163.com
Locais de estudo
-
-
Anhui
-
Hefei, Anhui, China, 230022
- Universitythe First Affiliatedhospital of Anhuimedical
-
Contato:
- Sheng Tai, M.D.
- Número de telefone: 0551-62922234 86-18355159268
- E-mail: Taishengwk@163.com
-
Contato:
- Hongzhi Wang, M.D.
- Número de telefone: 0551-62922234 86-18846156838
- E-mail: wanghongzhi0830@163.com
-
Investigador principal:
- Sheng Tai, M.D.
-
-
Critérios de participação
Os pesquisadores procuram pessoas que se encaixem em uma determinada descrição, chamada de critérios de elegibilidade. Alguns exemplos desses critérios são a condição geral de saúde de uma pessoa ou tratamentos anteriores.
Critérios de elegibilidade
Idades elegíveis para estudo
- Adulto
- Adulto mais velho
Aceita Voluntários Saudáveis
Não
Descrição
Inclusion Criteria:
- Age > 18 years and < 85 years.
- Histopathologically confirmed prostate adenocarcinoma, ductal adenocarcinoma, or intraductal carcinoma.
- Imaging evidence of definite distant metastases (according to RECIST criteria).
- Pre-biopsy PSA ≥ 20 ng/mL or Gleason score ≥ 4+4.
- No prior hormonal therapy or other systemic anti-tumor regimens.
- ECOG performance status 0-2, with an estimated life expectancy > 6 months.
- Adequate organ function.h. Ability and willingness to provide written informed consent, and capability to comply with the study visit schedule.
Exclusion Criteria:
- Histopathological diagnosis of neuroendocrine or small cell prostate cancer.
- No definite distant metastases detected on imaging.
- Prior history of anti-tumor therapy (including neoadjuvant, adjuvant, or other treatments).
- Submitted biopsy samples fail to meet quality control requirements.
- Concurrent severe endocrine or metabolic disorders, or other severe digestive system diseases.
- Concurrent chronic hepatitis, cirrhosis, chronic nephritis, renal insufficiency, or other relevant conditions.
- History of immunodeficiency or organ transplantation.
- History of other concurrent malignancies.
- Concurrent enrollment in other clinical trials.
- Other conditions that the investigator deems unsuitable for study enrollment.
Plano de estudo
Esta seção fornece detalhes do plano de estudo, incluindo como o estudo é projetado e o que o estudo está medindo.
Como o estudo é projetado?
Detalhes do projeto
- Finalidade Principal: Tratamento
- Alocação: N / D
- Modelo Intervencional: Atribuição de grupo único
- Mascaramento: Nenhum (rótulo aberto)
Armas e Intervenções
Grupo de Participantes / Braço |
Intervenção / Tratamento |
|---|---|
|
Experimental: Newly diagnosed mHSPC patients who meet the inclusion criteria
Eligible patients will be enrolled after providing written informed consent.
Individualized therapy (ADT plus abiraterone or other ARPIs) will be prescribed by the investigators according to each patient's financial situation, drug availability, and clinical needs, with regular follow-ups performed following routine real-world practice
|
The spatial heterogeneity of the tumor microenvironment in mHSPC-encompassing immune cell infiltration patterns, tumor-stroma interface features, and the regional activation status of critical signaling pathways-is intimately linked to clinical outcomes with ADT plus ARPI therapy.
Through comprehensive spatial multi-omic profiling, these spatial attributes can be systematically dissected to uncover pivotal predictive biomarkers, facilitate the development of accurate response prediction models, and ultimately guide personalized therapeutic strategies for patients with mHSPC
Outros nomes:
|
O que o estudo está medindo?
Medidas de resultados primários
Medida de resultado |
Descrição da medida |
Prazo |
|---|---|---|
|
Biochemical Progression-Free Survival (bPFS)
Prazo: From treatment initiation until biochemical progression or last follow-up, assessed every 3 months (±1 month) for up to 24 months.
|
Time from initiation of ADT plus ARPI therapy to biochemical progression or death from any cause, whichever occurs first.
Biochemical progression is defined as a PSA rise to ≥0.2 ng/mL after having reached an undetectable level, confirmed by a second measurement at least 2 weeks apart.
Participants without an event will be censored at the date of last follow-up.
|
From treatment initiation until biochemical progression or last follow-up, assessed every 3 months (±1 month) for up to 24 months.
|
|
Overall Survival (OS)
Prazo: From treatment initiation until death or last follow-up, assessed up to 24 months.
|
Time from treatment initiation to death from any cause.
Participants alive or lost to follow-up will be censored at the date last known alive.
|
From treatment initiation until death or last follow-up, assessed up to 24 months.
|
Medidas de resultados secundários
Medida de resultado |
Descrição da medida |
Prazo |
|---|---|---|
|
Mutation Frequency of Key Genes Assessed by Whole-Exome Sequencing (WES)
Prazo: Baseline (at enrollment, from biopsy tissue).
|
Baseline tumor tissue from prostate biopsy will be analyzed by WES.
The mutation status (including variant allele frequency) of AR, TP53, PTEN, RB1, and other relevant genes will be reported as the proportion of participants with each mutation.
|
Baseline (at enrollment, from biopsy tissue).
|
|
Spatial Gene Expression Signatures Measured by Xenium Platform
Prazo: Baseline (at enrollment).
|
Baseline biopsy tissue will be processed for Xenium in situ spatial transcriptomics.
The average expression levels of a pre-specified gene panel (including AR-signaling and immune-related genes) in tumor, immune, and stromal compartments will be reported.
|
Baseline (at enrollment).
|
|
Spatial Protein Marker Expression Measured by PhenoCycler-Fusion (PCF)
Prazo: Baseline (at enrollment).
|
Using cyclic immunofluorescence on baseline biopsy tissue, the platform quantifies the density (cells/mm²) and proportion of positive cells for a panel of protein markers (e.g., AR, PSMA, PD-L1, CD8, CD68) within the tumor microenvironment.
|
Baseline (at enrollment).
|
|
Area Under the Receiver Operating Characteristic Curve (AUC) of the Multi-omics Prediction Model for 6-Month Undetectable PSA( PSA <0.2 ng/mL )
Prazo: Baseline data used to predict outcome at 6 months after treatment initiation.
|
Baseline WES, Xenium, and PCF data will be integrated using a machine-learning algorithm (e.g., random forest or LASSO-Cox) to build a model predicting Undetectable PSA at 6 months ( defined as serum PSA <0.2 ng/mL confirmed at two consecutive visits).
Model performance will be evaluated by cross-validation, and the mean AUC with 95% confidence interval will be reported, along with sensitivity, specificity, and positive predictive value.
|
Baseline data used to predict outcome at 6 months after treatment initiation.
|
Colaboradores e Investigadores
É aqui que você encontrará pessoas e organizações envolvidas com este estudo.
Patrocinador
Investigadores
- Investigador principal: Sheng Tai, M.D., The First Affiliated Hospital of Anhui Medical University
- Investigador principal: Hongzhi Wang, M.D., The First Affiliated Hospital of Anhui Medical University
Publicações e links úteis
A pessoa responsável por inserir informações sobre o estudo fornece voluntariamente essas publicações. Estes podem ser sobre qualquer coisa relacionada ao estudo.
Publicações Gerais
- Han B, Zheng R, Zeng H, Wang S, Sun K, Chen R, Li L, Wei W, He J. Cancer incidence and mortality in China, 2022. J Natl Cancer Cent. 2024 Feb 2;4(1):47-53. doi: 10.1016/j.jncc.2024.01.006. eCollection 2024 Mar.
- Lv Y, Duan T, Song J, Liu S, Zhou Z, Ba Y, Weng S, Zuo A, Xu H, Luo P, Cheng Q, Zhang C, Ning J, Chen Y, Zhang Y, Liu Z, Han X. The Spatiotemporal Heterogeneity of Tumor-Associated Stromal Cells: Reprogramming Plasticity to Unlock Precision Cancer Immunotherapy. Cancer Commun (Lond). 2026 Jan 22;46:0002. doi: 10.34133/cancomm.0002. eCollection 2026.
- Wu Y, Chen T, Zuo J, Shen T, Dong L, Li F, Wang L, Tao Z. Multi-omics reveals that CTHRC1 secreted by cancer-associated fibroblasts promotes EMT by ITGA5/PI3K/AKT signaling pathway in HNSCC. Cell Signal. 2026 Jun;142:112409. doi: 10.1016/j.cellsig.2026.112409. Epub 2026 Feb 5.
- Huang Y, Xiang C, Wang Y, Zhang W, Du L, Wang W, Shi G, Wang J. Spatial and single-cell multi-omics reveal pro-angiogenic THY1(+) fibroblast subtypes predicting prognosis in prostate cancer. Transl Oncol. 2026 Mar;65:102664. doi: 10.1016/j.tranon.2026.102664. Epub 2026 Jan 12.
- 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.
- Zhang Y, Yang C, Chen X, Wu L, Yuan Z, Zhang F, Qian BZ. Cancer therapy resistance from a spatial-omics perspective. Clin Transl Med. 2025 Jul;15(7):e70396. doi: 10.1002/ctm2.70396.
- Du Y, Ding X, Ye Y. The spatial multi-omics revolution in cancer therapy: Precision redefined. Cell Rep Med. 2024 Sep 17;5(9):101740. doi: 10.1016/j.xcrm.2024.101740.
- Huang J, Ojo A, Tsao S, Horowitz A, Kyprianou N, Tsao CK. Overcoming Immune Evasion in the Prostate Tumor Microenvironment: Novel Targeted Strategies to Improve Treatment Outcomes. Cancers (Basel). 2025 Oct 27;17(21):3441. doi: 10.3390/cancers17213441.
- Li M, Kwantwi LB, Wang C, Xiao Q. Tumor microenvironment-mediated immune evasion and resistance in prostate cancer: mechanisms, cross-talk, and therapeutic opportunities. Clin Exp Med. 2025 Nov 26;26(1):60. doi: 10.1007/s10238-025-01944-0.
- Hoeh B, Wenzel M, Tian Z, Karakiewicz PI, Saad F, Steuber T, Graefen M, Tilki D, Herout R, Thomas C, Chun FK, Mandel P. Triplet or Doublet Therapy in Metastatic Hormone-sensitive Prostate Cancer Patients: An Updated Network Meta-analysis Including ARANOTE Data. Eur Urol Focus. 2025 Mar;11(2):386-390. doi: 10.1016/j.euf.2024.11.004. Epub 2024 Dec 5.
- Baboudjian M, Peyrottes A, Dariane C, Fromont G, Denis JA, Fiard G, Kassab D, Ladoire S, Lehmann-Che J, Ploussard G, Roupret M, Barthelemy P, Roubaud G, Lamy PJ. Circulating Biomarkers Predictive of Treatment Response in Patients with Hormone-sensitive or Castration-resistant Metastatic Prostate Cancer: A Systematic Review. Eur Urol Oncol. 2024 Dec;7(6):1228-1245. doi: 10.1016/j.euo.2024.05.003. Epub 2024 May 31.
- Bernard-Tessier A, Beltran H. Exploring the biology of metastatic hormone-sensitive prostate cancer: on the road to precision medicine. J Clin Invest. 2026 Feb 2;136(3):e200920. doi: 10.1172/JCI200920. eCollection 2026 Feb 2.
- Grimm MO, Leucht K, Marx M, Sperling M, Albarghouth MH. [Treatment of metastatic hormone-sensitive prostate cancer]. Urologie. 2026 Mar;65(3):324-335. doi: 10.1007/s00120-026-02798-4. Epub 2026 Mar 4. German.
- Matsukawa A, Litterio G, Cormio A, Miszczyk M, Kardoust Parizi M, Fazekas T, Tsuboi I, Mancon S, Schulz RJ, Laukhtina E, Rajwa P, Mori K, Chlosta P, Marchioni M, Schips L, Miki J, Kimura T, Shariat SF, Yanagisawa T. An Updated Systematic Review and Network Meta-Analysis of First-Line Triplet vs. Doublet Therapies for Metastatic Hormone-Sensitive Prostate Cancer. Cancers (Basel). 2025 Jan 9;17(2):205. doi: 10.3390/cancers17020205.
- Nicoletti R, Liu AQ, Evans-Axelsson S, Golozar A, Beyer K, Meulder B, Campi R, Gacci M, Teoh JY, Steinbesser C, Hijazy A, Harbachou A, Brash JT, Willemse PM, Murtola T, Roobol MJ, Sierra JM, Bjartell A, Merseburger AS, Rajwa P, Cornford P, Abbott T, Ndow J, Rivas JG, Davies E, Feng Q, Snijder R; PIONEER + consortium. Treatment Trajectories in Metastatic Hormone-sensitive Prostate Cancer: A PIONEER+ Big Data Analysis. Eur Urol Oncol. 2025 Oct;8(5):1340-1349. doi: 10.1016/j.euo.2025.08.007. Epub 2025 Oct 8.
- Helgstrand JT, Roder MA, Klemann N, Toft BG, Lichtensztajn DY, Brooks JD, Brasso K, Vainer B, Iversen P. Trends in incidence and 5-year mortality in men with newly diagnosed, metastatic prostate cancer-A population-based analysis of 2 national cohorts. Cancer. 2018 Jul 15;124(14):2931-2938. doi: 10.1002/cncr.31384. Epub 2018 May 3.
- Wang B, Liu Z, Yang L, Zhang X. Advances in the treatment of metastatic prostate cancer in China. Cancer Biol Med. 2025 May 19;22(5):433-8. doi: 10.20892/j.issn.2095-3941.2025.0065. No abstract available.
- Xue M, Guo W, Zhou Y, Meng J, Xi Y, Pan L, Ye Y, Zeng Y, Che Z, Zhang L, Ye P, Conde J, Lin Q, Jin W; GBD 2021 China Urological Cancers Burden and Forecasting Collaborators. Age-sex-specific burden of urological cancers attributable to risk factors in China and its provinces, 1990-2021, and forecasts with scenarios simulation: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Reg Health West Pac. 2025 Mar 18;56:101517. doi: 10.1016/j.lanwpc.2025.101517. eCollection 2025 Mar.
- Kyriakopoulos CE, Chen YH, Carducci MA, Liu G, Jarrard DF, Hahn NM, Shevrin DH, Dreicer R, Hussain M, Eisenberger M, Kohli M, Plimack ER, Vogelzang NJ, Picus J, Cooney MM, Garcia JA, DiPaola RS, Sweeney CJ. Chemohormonal Therapy in Metastatic Hormone-Sensitive Prostate Cancer: Long-Term Survival Analysis of the Randomized Phase III E3805 CHAARTED Trial. J Clin Oncol. 2018 Apr 10;36(11):1080-1087. doi: 10.1200/JCO.2017.75.3657. Epub 2018 Jan 31.
- Kroon J, Kooijman S, Cho NJ, Storm G, van der Pluijm G. Improving Taxane-Based Chemotherapy in Castration-Resistant Prostate Cancer. Trends Pharmacol Sci. 2016 Jun;37(6):451-462. doi: 10.1016/j.tips.2016.03.003. Epub 2016 Apr 8.
- Kimura T, Egawa S. Epidemiology of prostate cancer in Asian countries. Int J Urol. 2018 Jun;25(6):524-531. doi: 10.1111/iju.13593. Epub 2018 May 8.
Datas de registro do estudo
Essas datas acompanham o progresso do registro do estudo e os envios de resumo dos resultados para ClinicalTrials.gov. Os registros do estudo e os resultados relatados são revisados pela National Library of Medicine (NLM) para garantir que atendam aos padrões específicos de controle de qualidade antes de serem publicados no site público.
Datas Principais do Estudo
Início do estudo (Estimado)
1 de outubro de 2026
Conclusão Primária (Estimado)
30 de abril de 2028
Conclusão do estudo (Estimado)
30 de junho de 2028
Datas de inscrição no estudo
Enviado pela primeira vez
13 de agosto de 2026
Enviado pela primeira vez que atendeu aos critérios de CQ
26 de agosto de 2026
Primeira postagem (Real)
31 de agosto de 2026
Atualizações de registro de estudo
Última Atualização Postada (Real)
31 de agosto de 2026
Última atualização enviada que atendeu aos critérios de controle de qualidade
26 de agosto de 2026
Última verificação
1 de agosto de 2026
Mais Informações
Termos relacionados a este estudo
Palavras-chave
Termos MeSH relevantes adicionais
Outros números de identificação do estudo
- KY2026-09-81
Plano para dados de participantes individuais (IPD)
Planeja compartilhar dados de participantes individuais (IPD)?
INDECISO
Descrição do plano IPD
Genetic information from patients will be analyzed.The research involves genetic/genomic profiling of patient samples.
Informações sobre medicamentos e dispositivos, documentos de estudo
Estuda um medicamento regulamentado pela FDA dos EUA
Não
Estuda um produto de dispositivo regulamentado pela FDA dos EUA
Não
Essas informações foram obtidas diretamente do site clinicaltrials.gov sem nenhuma alteração. Se você tiver alguma solicitação para alterar, remover ou atualizar os detalhes do seu estudo, entre em contato com register@clinicaltrials.gov. Assim que uma alteração for implementada em clinicaltrials.gov, ela também será atualizada automaticamente em nosso site .