- ICH GCP
- US-Register für klinische Studien
- Klinische Studie 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. August 2026 aktualisiert von: 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.
Studienübersicht
Status
Noch keine Rekrutierung
Bedingungen
Detaillierte Beschreibung
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.
Studientyp
Interventionell
Einschreibung (Geschätzt)
40
Phase
- Phase 2
Kontakte und Standorte
Dieser Abschnitt enthält die Kontaktdaten derjenigen, die die Studie durchführen, und Informationen darüber, wo diese Studie durchgeführt wird.
Studienkontakt
- Name: Sheng Tai, M.D.
- Telefonnummer: 0551-62922234 86-18355159268
- E-Mail: Taishengwk@163.com
Studieren Sie die Kontaktsicherung
- Name: Hongzhi Wang, M.D.
- Telefonnummer: 0551-62922234 86-18846156838
- E-Mail: wanghongzhi0830@163.com
Studienorte
-
-
Anhui
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Hefei, Anhui, China, 230022
- Universitythe First Affiliatedhospital of Anhuimedical
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Kontakt:
- Sheng Tai, M.D.
- Telefonnummer: 0551-62922234 86-18355159268
- E-Mail: Taishengwk@163.com
-
Kontakt:
- Hongzhi Wang, M.D.
- Telefonnummer: 0551-62922234 86-18846156838
- E-Mail: wanghongzhi0830@163.com
-
Hauptermittler:
- Sheng Tai, M.D.
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-
Teilnahmekriterien
Forscher suchen nach Personen, die einer bestimmten Beschreibung entsprechen, die als Auswahlkriterien bezeichnet werden. Einige Beispiele für diese Kriterien sind der allgemeine Gesundheitszustand einer Person oder frühere Behandlungen.
Zulassungskriterien
Studienberechtigtes Alter
- Erwachsene
- Älterer Erwachsener
Akzeptiert gesunde Freiwillige
Nein
Beschreibung
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.
Studienplan
Dieser Abschnitt enthält Einzelheiten zum Studienplan, einschließlich des Studiendesigns und der Messung der Studieninhalte.
Wie ist die Studie aufgebaut?
Designdetails
- Hauptzweck: Behandlung
- Zuteilung: N / A
- Interventionsmodell: Einzelgruppenzuweisung
- Maskierung: Keine (Offenes Etikett)
Waffen und Interventionen
Teilnehmergruppe / Arm |
Intervention / Behandlung |
|---|---|
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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
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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
Andere Namen:
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Was misst die Studie?
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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Biochemical Progression-Free Survival (bPFS)
Zeitfenster: 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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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)
Zeitfenster: From treatment initiation until death or last follow-up, assessed up to 24 months.
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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.
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Sekundäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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Mutation Frequency of Key Genes Assessed by Whole-Exome Sequencing (WES)
Zeitfenster: Baseline (at enrollment, from biopsy tissue).
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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
Zeitfenster: Baseline (at enrollment).
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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)
Zeitfenster: Baseline (at enrollment).
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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 )
Zeitfenster: Baseline data used to predict outcome at 6 months after treatment initiation.
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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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Mitarbeiter und Ermittler
Hier finden Sie Personen und Organisationen, die an dieser Studie beteiligt sind.
Sponsor
Ermittler
- Hauptermittler: Sheng Tai, M.D., The First Affiliated Hospital of Anhui Medical University
- Hauptermittler: Hongzhi Wang, M.D., The First Affiliated Hospital of Anhui Medical University
Publikationen und hilfreiche Links
Die Bereitstellung dieser Publikationen erfolgt freiwillig durch die für die Eingabe von Informationen über die Studie verantwortliche Person. Diese können sich auf alles beziehen, was mit dem Studium zu tun hat.
Allgemeine Veröffentlichungen
- 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.
Studienaufzeichnungsdaten
Diese Daten verfolgen den Fortschritt der Übermittlung von Studienaufzeichnungen und zusammenfassenden Ergebnissen an ClinicalTrials.gov. Studienaufzeichnungen und gemeldete Ergebnisse werden von der National Library of Medicine (NLM) überprüft, um sicherzustellen, dass sie bestimmten Qualitätskontrollstandards entsprechen, bevor sie auf der öffentlichen Website veröffentlicht werden.
Haupttermine studieren
Studienbeginn (Geschätzt)
1. Oktober 2026
Primärer Abschluss (Geschätzt)
30. April 2028
Studienabschluss (Geschätzt)
30. Juni 2028
Studienanmeldedaten
Zuerst eingereicht
13. August 2026
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
26. August 2026
Zuerst gepostet (Tatsächlich)
31. August 2026
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Tatsächlich)
31. August 2026
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
26. August 2026
Zuletzt verifiziert
1. August 2026
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Schlüsselwörter
Zusätzliche relevante MeSH-Bedingungen
Andere Studien-ID-Nummern
- KY2026-09-81
Plan für individuelle Teilnehmerdaten (IPD)
Planen Sie, individuelle Teilnehmerdaten (IPD) zu teilen?
UNENTSCHIEDEN
Beschreibung des IPD-Plans
Genetic information from patients will be analyzed.The research involves genetic/genomic profiling of patient samples.
Arzneimittel- und Geräteinformationen, Studienunterlagen
Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt
Nein
Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt
Nein
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