The Journal of urology
June 10, 2026 · via Europe PMC
Water Vapor Therapy for the Management of Prostate Cancer: The VAPOR 2 Study Initial Results of Ablative Efficacy and Toxicity.
George A, Giesler E, Mazzarella B, +22 more, Taneja SS.
AI summary — for doctors, generated from the abstract only
In the VAPOR 2 interim analysis, water vapor ablation of intermediate-risk prostate cancer left benign tissue only in 75% of treated regions at 6-month biopsy, with low procedural morbidity.
What was studied
Prospective, multicenter, single-arm study at 26 US centers enrolling 235 men with Grade Group 2 prostate cancer confined to a single PI-RADS 3-4 lesion; this predefined subset analysis covers 110 men with 12-month follow-up for ablative efficacy and toxicity.
Key findings
- Median age 65; median PSA 5.6 ng/mL; median prostate volume 40.7 cc
- 6-month targeted biopsy: benign only in 75%; benign or Grade Group 1 in 91%
- No significant baseline predictor of positive biopsy
- Median PSA reduction 58%; median 8 cc volume reduction
- Urinary and sexual function declined initially then recovered through 12 months
- Adverse events generally mild; no rectal injury
Clinical relevance
This early, single-arm interim data suggests water vapor focal ablation is feasible with low toxicity for selected intermediate-risk disease, but oncologic efficacy awaits 3- and 5-year follow-up.
Who should care
Limitations
Single-arm design without comparator; interim subset of 110 of 235 men; short follow-up with only surrogate oncologic endpoints.
Water vapor ablation shows encouraging early tissue destruction in focal prostate cancer, but long-term cancer control is still unknown.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
Purpose
The safety and effectiveness of water vapor for ablation of prostate tissue was assessed in men with intermediate-risk localized prostate cancer (PCa).
Materials and methods
A prospective, multicenter, single-arm study (VAPOR 2) was conducted in 235 men at 26 centers across the United States in men ≥ 50 years, with Gleason Grade Group 2 PCa confined to a single Prostate Imaging Reporting and Data System 3 or 4 abnormality on multiparametric MRI fusion biopsy, PSA level ≤ 15 ng/mL, and clinical stage ≤ T2c. Data presented are a predefined subset analysis of 110 men completing 12-month follow-up to assess only ablative efficacy and toxicity. Reported outcomes include biopsy 6 months post treatment PSA, prostate volume reduction, urinary/sexual function, quality-of-life questionnaires, and adverse events. The 3-year follow-up analysis will evaluate efficacy in PCa management, with 5 years of total follow-up.
Results
The median age was 65 years, with a median baseline PSA of 5.6 ng/mL and prostate volume of 40.7 cc. On 6-month biopsy, targeted sampling of the treated region revealed benign tissue only in 75% and benign tissue or Gleason Grade Group 1 PCa in 91%. Regression analysis did not identify a significant baseline predictor of positive biopsy. PSA showed a median reduction of 58%, with a median 8 cc reduction in prostate volume. Urinary and sexual function showed an initial decline followed by gradual recovery through 12 months. Perioperative adverse events were generally mild and resolved without sequelae, with no reports of rectal injury.
Conclusions
The VAPOR 2 study demonstrated effective ablation of prostate tissue in men with localized, intermediate-risk PCa with low rates of procedural morbidity.
DOI
10.1097/ju.0000000000005156
PMID
42269147
PMCID
PMC13561094
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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