Metastatic Hormone-Sensitive Prostate CancerPhase 2NCT07795177
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.
A Phase 2 study testing ADT plus abiraterone or other ARPIs(apalutamide, enzalutamide, rezvilutamide, darolutamide) in people with Metastatic Hormone-Sensitive Prostate Cancer, run by Anhui Medical University at 1 site in China.
Trial summary
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)… Read more about this study
- Who is it for?
- Ages 18 to 85 years, men only
- Conditions the study is for
- Metastatic Hormone-Sensitive Prostate Cancer
- What is being tested?
- ADT plus abiraterone or other ARPIs(apalutamide, enzalutamide, rezvilutamide, darolutamide)
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 40 participants
- Where
- 1 siteChina
- Study dates
- 1 Oct 2026to 30 Jun 2028
- Phase
- Phase 2
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 85 years
- Men only
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- 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.
Show all 10Show fewer
- 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.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
China1 site
Universitythe First Affiliatedhospital of Anhuimedical
Hefei, Anhui, 230022
Sheng Tai, M.D., 86-18355159268 ext. 0551-62922234, Taishengwk@163.com
Hongzhi Wang, M.D., 86-18846156838 ext. 0551-62922234, wanghongzhi0830@163.com
About this study
Official title: 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.
Read the detailed description
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.
- Being tested
- ADT plus abiraterone or other ARPIs(apalutamide, enzalutamide, rezvilutamide, darolutamide)
- Keywords
- Metastatic hormone-sensitive prostate cancer (mHSPC), Spatial multi-omics, ADT combined with androgen receptor pathway inhibitors (ADT+ARPI), Treatment response prediction model, Precision medicine / individualized therapy
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
ADT plus abiraterone or other ARPIs(apalutamide, enzalutamide, rezvilutamide, darolutamide)Drug
Also called ADT plus abiraterone, ADT plus Apalutamide, ADT plus Enzalutamide, ADT plus Darolutamide
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
| Study group | Role | What they receive |
|---|---|---|
| Newly diagnosed mHSPC patients who meet the inclusion criteria | Experimental | 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 Receives: Drug: ADT plus abiraterone or other ARPIs(apalutamide, enzalutamide, rezvilutamide, darolutamide) |
What is being measured
The primary outcome is the main question the study is designed to answer.
Biochemical Progression-Free Survival (bPFS)
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.
Measured: From treatment initiation until biochemical progression or last follow-up, assessed every 3 months (±1 month) for up to 24 months.
Overall Survival (OS)
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.
Measured: From treatment initiation until death or last follow-up, assessed up to 24 months.
Secondary outcomes (4)
Mutation Frequency of Key Genes Assessed by Whole-Exome Sequencing (WES)
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.
Measured: Baseline (at enrollment, from biopsy tissue).
Spatial Gene Expression Signatures Measured by Xenium Platform
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.
Measured: Baseline (at enrollment).
Spatial Protein Marker Expression Measured by PhenoCycler-Fusion (PCF)
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.
Measured: 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 )
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.
Measured: Baseline data used to predict outcome at 6 months after treatment initiation.
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted31 Aug 2026
- Study start1 Oct 2026 (estimated)
- Primary completion30 Apr 2028 (estimated)
- Study completion30 Jun 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (21)Papers the sponsor has linked to this study.
- Other trials for Metastatic Hormone-Sensitive Prostate CancerStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase 2
- Primary purpose
- Treatment
- Allocation
- Not applicable
- Intervention model
- Single group
- Model description
- * Patient recruitment and enrollment (targeting approximately 40 patients). * Pre-treatment sample collection and spatial multi-omics profiling. * Patients receiving ADT combined with ARPI therapy. ④ Regular follow-up and collection of efficacy data. ⑤ Integration of spatial multi-omics data with clinical efficacy data. ⑥ Screening for spatial molecular biomarkers predictive of treatment response. ⑦ Construction and validation of a predictive efficacy model.
- Masking
- None (open label)
- Enrolment
- 40 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Anhui Medical University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Sheng Tai, Anhui Medical University
- Investigators
- Sheng Tai, M.D., Principal investigator, The First Affiliated Hospital of Anhui Medical UniversityHongzhi Wang, M.D., Principal investigator, The First Affiliated Hospital of Anhui Medical University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07795177
- Sponsor's protocol ID
- KY2026-09-81
- Status last verified
- Aug 2026
- First submitted
- 13 Aug 2026
- Last updated
- 31 Aug 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: Genetic information from patients will be analyzed.The research involves genetic/genomic profiling of patient samples.
Publications
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.
PubMed 41625480Wu 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.
PubMed 41651176Huang 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.
PubMed 41529384Akhoundova 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.
PubMed 36055231Zhang 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.
PubMed 40677104Du 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.
PubMed 39293393Huang 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.
PubMed 41228234Li 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.
PubMed 41296089Hoeh 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.
PubMed 39643549Baboudjian 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.
PubMed 38824003Bernard-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.
PubMed 41623173Grimm 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.
PubMed 41779146Matsukawa 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.
PubMed 39857987Nicoletti 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.
PubMed 41062343Helgstrand 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.
PubMed 29723398
Study at a glance
From the registry record, last updated by the sponsor on 31 Aug 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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.
- ClinicalTrials.gov ID
- NCT07795177
- Acronym / sponsor ID
- KY2026-09-81
- Keywords
- Metastatic hormone-sensitive prostate cancer (mHSPC), Spatial multi-omics, ADT combined with androgen receptor pathway inhibitors (ADT+ARPI), Treatment response prediction model, Precision medicine / individualized therapy
- Phase
- Phase 2
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 40 participants (estimated)
- Lead sponsor
- Anhui Medical UniversityUniversity, hospital or other
- Study start
- 1 Oct 2026 (estimated)
- Primary completion
- 30 Apr 2028 (estimated)
- Study completion
- 30 Jun 2028 (estimated)
- First posted
- 31 Aug 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
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.
Study design
- Primary purpose
- Treatment
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
- Model description
- * Patient recruitment and enrollment (targeting approximately 40 patients). * Pre-treatment sample collection and spatial multi-omics profiling. * Patients receiving ADT combined with ARPI therapy. ④ Regular follow-up and collection of efficacy data. ⑤ Integration of spatial multi-omics data with clinical efficacy data. ⑥ Screening for spatial molecular biomarkers predictive of treatment response. ⑦ Construction and validation of a predictive efficacy model.
| Arm | Type | Receives |
|---|---|---|
| Newly diagnosed mHSPC patients who meet the inclusion criteria | Experimental | Drug: ADT plus abiraterone or other ARPIs(apalutamide, enzalutamide, rezvilutamide, darolutamide)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 |
Who may qualify
- Ages
- 18 to 85 years
- Sex
- Male only
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (7 listed)
- 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.
Key exclusion criteria (10 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| ADT plus abiraterone or other ARPIs(apalutamide, enzalutamide, rezvilutamide, darolutamide)Also: ADT plus abiraterone, ADT plus Apalutamide, ADT plus Enzalutamide, ADT plus DarolutamideThe 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 | Drug | Newly diagnosed mHSPC patients who meet the inclusion criteria |
Primary outcome
Biochemical Progression-Free Survival (bPFS)
Time frame: 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.
Overall Survival (OS)
Time frame: 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.
4 secondary outcomes
Mutation Frequency of Key Genes Assessed by Whole-Exome Sequencing (WES)
Time frame: Baseline (at enrollment, from biopsy tissue).
Spatial Gene Expression Signatures Measured by Xenium Platform
Time frame: Baseline (at enrollment).
Spatial Protein Marker Expression Measured by PhenoCycler-Fusion (PCF)
Time frame: 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 )
Time frame: Baseline data used to predict outcome at 6 months after treatment initiation.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 31 Aug 2026.
- Results publication: PubMed 41625480Lv 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.
- Results publication: PubMed 41651176Wu 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.
- Results publication: PubMed 41529384Huang 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.
- Results publication: PubMed 36055231Akhoundova 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.
- Results publication: PubMed 40677104Zhang 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.
- Results publication: PubMed 39293393Du 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.
- Results publication: PubMed 41228234Huang 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.
- Results publication: PubMed 41296089Li 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.
- Results publication: PubMed 39643549Hoeh 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.
- Results publication: PubMed 38824003Baboudjian 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.
- Results publication: PubMed 41623173Bernard-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.
- Results publication: PubMed 41779146Grimm 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.
- Individual participant dataSharing planned: Undecided. Genetic information from patients will be analyzed.The research involves genetic/genomic profiling of patient samples.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Sheng Tai, M.D. principal investigator
The First Affiliated Hospital of Anhui Medical University
Hongzhi Wang, M.D. principal investigator
The First Affiliated Hospital of Anhui Medical University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A Phase 2 study testing ADT plus abiraterone or other ARPIs(apalutamide, enzalutamide, rezvilutamide, darolutamide) in people with Metastatic Hormone-Sensitive Prostate Cancer, run by Anhui Medical University at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 10 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 31 Aug 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
What does this phase mean?
Phase 2 studies give the treatment to a larger group to see whether it has the intended effect and to keep checking safety.
Not every study follows the same path, and some studies (observational studies, device studies) have no phase.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Sheng Tai, M.D. (86-18355159268 ext. 0551-62922234, Taishengwk@163.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Biochemical Progression-Free Survival (bPFS) (time frame: From treatment initiation until biochemical progression or last follow-up, assessed every 3 months (±1 month) for up to 24 months.). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07795177, which also lists 21 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 31 Aug 2026.