- ICH GCP
- Registre américain des essais cliniques
- Essai clinique 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 août 2026 mis à jour par: 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.
Aperçu de l'étude
Statut
Pas encore de recrutement
Les conditions
Intervention / Traitement
Description détaillée
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.
Type d'étude
Interventionnel
Inscription (Estimé)
40
Phase
- Phase 2
Contacts et emplacements
Cette section fournit les coordonnées de ceux qui mènent l'étude et des informations sur le lieu où cette étude est menée.
Coordonnées de l'étude
- Nom: Sheng Tai, M.D.
- Numéro de téléphone: 0551-62922234 86-18355159268
- E-mail: Taishengwk@163.com
Sauvegarde des contacts de l'étude
- Nom: Hongzhi Wang, M.D.
- Numéro de téléphone: 0551-62922234 86-18846156838
- E-mail: wanghongzhi0830@163.com
Lieux d'étude
-
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Anhui
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Hefei, Anhui, Chine, 230022
- Universitythe First Affiliatedhospital of Anhuimedical
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Contact:
- Sheng Tai, M.D.
- Numéro de téléphone: 0551-62922234 86-18355159268
- E-mail: Taishengwk@163.com
-
Contact:
- Hongzhi Wang, M.D.
- Numéro de téléphone: 0551-62922234 86-18846156838
- E-mail: wanghongzhi0830@163.com
-
Chercheur principal:
- Sheng Tai, M.D.
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-
Critères de participation
Les chercheurs recherchent des personnes qui correspondent à une certaine description, appelée critères d'éligibilité. Certains exemples de ces critères sont l'état de santé général d'une personne ou des traitements antérieurs.
Critère d'éligibilité
Âges éligibles pour étudier
- Adulte
- Adulte plus âgé
Accepte les volontaires sains
Non
La description
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.
Plan d'étude
Cette section fournit des détails sur le plan d'étude, y compris la façon dont l'étude est conçue et ce que l'étude mesure.
Comment l'étude est-elle conçue ?
Détails de conception
- Objectif principal: Traitement
- Répartition: N / A
- Modèle interventionnel: Affectation à un seul groupe
- Masquage: Aucun (étiquette ouverte)
Armes et Interventions
Groupe de participants / Bras |
Intervention / Traitement |
|---|---|
|
Expérimental: 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
Autres noms:
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Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
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Biochemical Progression-Free Survival (bPFS)
Délai: 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.
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From treatment initiation until biochemical progression or last follow-up, assessed every 3 months (±1 month) for up to 24 months.
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Overall Survival (OS)
Délai: 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.
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From treatment initiation until death or last follow-up, assessed up to 24 months.
|
Mesures de résultats secondaires
Mesure des résultats |
Description de la mesure |
Délai |
|---|---|---|
|
Mutation Frequency of Key Genes Assessed by Whole-Exome Sequencing (WES)
Délai: 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.
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Baseline (at enrollment, from biopsy tissue).
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Spatial Gene Expression Signatures Measured by Xenium Platform
Délai: 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.
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Baseline (at enrollment).
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Spatial Protein Marker Expression Measured by PhenoCycler-Fusion (PCF)
Délai: 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.
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Baseline (at enrollment).
|
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Area Under the Receiver Operating Characteristic Curve (AUC) of the Multi-omics Prediction Model for 6-Month Undetectable PSA( PSA <0.2 ng/mL )
Délai: 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.
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Baseline data used to predict outcome at 6 months after treatment initiation.
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Collaborateurs et enquêteurs
C'est ici que vous trouverez les personnes et les organisations impliquées dans cette étude.
Parrainer
Les enquêteurs
- Chercheur principal: Sheng Tai, M.D., The First Affiliated Hospital of Anhui Medical University
- Chercheur principal: Hongzhi Wang, M.D., The First Affiliated Hospital of Anhui Medical University
Publications et liens utiles
La personne responsable de la saisie des informations sur l'étude fournit volontairement ces publications. Il peut s'agir de tout ce qui concerne l'étude.
Publications générales
- 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.
Dates d'enregistrement des études
Ces dates suivent la progression des dossiers d'étude et des soumissions de résultats sommaires à ClinicalTrials.gov. Les dossiers d'étude et les résultats rapportés sont examinés par la Bibliothèque nationale de médecine (NLM) pour s'assurer qu'ils répondent à des normes de contrôle de qualité spécifiques avant d'être publiés sur le site Web public.
Dates principales de l'étude
Début de l'étude (Estimé)
1 octobre 2026
Achèvement primaire (Estimé)
30 avril 2028
Achèvement de l'étude (Estimé)
30 juin 2028
Dates d'inscription aux études
Première soumission
13 août 2026
Première soumission répondant aux critères de contrôle qualité
26 août 2026
Première publication (Réel)
31 août 2026
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
31 août 2026
Dernière mise à jour soumise répondant aux critères de contrôle qualité
26 août 2026
Dernière vérification
1 août 2026
Plus d'information
Termes liés à cette étude
Mots clés
Termes MeSH pertinents supplémentaires
Autres numéros d'identification d'étude
- KY2026-09-81
Plan pour les données individuelles des participants (IPD)
Prévoyez-vous de partager les données individuelles des participants (DPI) ?
INDÉCIS
Description du régime IPD
Genetic information from patients will be analyzed.The research involves genetic/genomic profiling of patient samples.
Informations sur les médicaments et les dispositifs, documents d'étude
Étudie un produit pharmaceutique réglementé par la FDA américaine
Non
Étudie un produit d'appareil réglementé par la FDA américaine
Non
Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .