Sequential Treatment and Survival Outcomes According to Abiraterone Timing in High-Risk mHSPC: A Real-World Propensity-Matched Study

Sequential Treatment and Survival Outcomes According to Abiraterone Timing in High-Risk mHSPC: A Real-World Propensity-Matched Study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Sequential Treatment and Survival Outcomes According to Abiraterone Timing in High-Risk mHSPC: A Real-World Propensity-Matched Study Tomohiko Aigase, Koichi Uemura, Takashi Kawahara, Hiroki Ito, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6995219/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract Background The optimal timing of abiraterone acetate (AA) in the treatment of metastatic hormone-sensitive prostate cancer (mHSPC) remains unclear. Unlike previous studies comparing upfront AA with combined androgen blockade (CAB) or androgen deprivation therapy (ADT) alone, our study uniquely focused on patients who received AA at some point during their treatment. We aimed to evaluate whether the timing of AA administration influences cancer-specific survival (CSS), with particular attention to outcomes following progression to castration-resistant prostate cancer (CRPC). Methods This retrospective study included 209 patients with high-risk mHSPC treated at two institutions between 2015 and 2022. All patients received AA during their treatment course. Patients were classified into upfront AA and AA after CRPC groups. Propensity score matching (1:1) was performed using age, PSA, ALP, LDH, hemoglobin, Gleason score, extent of disease (EOD) score, and visceral metastases. The primary endpoint was CSS. Kaplan–Meier analysis and Cox regression were used to compare outcomes. Results After matching, 85 patients were included in each group. The upfront AA group had a significantly longer time to CRPC (median not reached vs. 12.1 months; P < 0.001). However, no significant difference in CSS was observed between groups (P = 0.279). Importantly, CSS after CRPC was significantly shorter in the upfront AA group (median 17.6 vs. 50.4 months; P < 0.001). The upfront AA group also received fewer sequential therapies after CRPC progression. These findings suggest that upfront AA alone does not improve long-term survival and may limit subsequent treatment options. Conclusions While upfront AA prolongs time to CRPC, it does not translate into improved CSS. Our results highlight the need to optimize treatment sequencing for patients with CRPC following upfront androgen receptor signaling inhibitor use and suggest that alternative post-CRPC strategies should be considered to enhance survival. metastatic hormone-sensitive prostate cancer abiraterone acetate androgen receptor signaling inhibitor castration-resistant prostate cancer sequential therapy Figures Figure 1 Figure 2 Figure 3 Background Abiraterone acetate (AA) plus prednisolone, an androgen receptor signaling inhibitor (ARSI) that inhibits androgen biosynthesis, was established as an effective treatment for high-risk metastatic hormone sensitive prostate cancer (mHSPC) based on the LATITUDE trial. In this trial, AA plus androgen deprivation therapy (ADT) significantly improved overall survival (OS) and progression-free survival (PFS) compared to ADT alone. However, LATITUDE exclusively compared AA plus ADT with ADT monotherapy, and no direct comparison was made between AA and combined androgen blockade (CAB; ADT plus bicalutamide) ( 1 ). Among other treatment options, ARSI or chemotherapy have also demonstrated efficacy in treating mHSPC ( 2 – 6 ). Enzalutamide is the only ARSI that has been directly compared to CAB in clinical trials, providing additional evidence regarding its effectiveness over traditional antiandrogen therapy ( 2 ). However, despite the growing body of evidence supporting upfront ARSI use, optimal treatment sequencing and the impact of the timing of AA administration on long-term outcomes remain unclear. Several real-world studies have suggested that upfront AA prolongs time to castration-resistant prostate cancer (TTCR) compared to CAB ( 7 – 11 ). However, whether upfront AA improves cancer-specific survival (CSS) remains uncertain, particularly in the Japanese population. Unlike previous studies that compared upfront AA to CAB or ADT alone, this study exclusively included patients who received AA at some point during their treatment course. This unique design allows for a more focused investigation of the clinical impact of AA timing. The primary objective of this study was not only to evaluate the efficacy of upfront AA but also to examine whether the timing of AA initiation, either at diagnosis or after progression to castration-resistant prostate cancer (CRPC), affects oncological outcomes. Methods Patients and Study Design This retrospective study included 209 patients who initiated AA between January 2015 and December 2022 at Yokohama City University Hospital and Yokohama City University Medical Center. All patients were diagnosed with prostate cancer through needle biopsy and underwent metastatic evaluation using computed tomography (CT) and bone scintigraphy. All patients met the high-risk criteria defined in the LATITUDE trial for mHSPC, which included the presence of at least two of the following factors: three or more bone metastases on bone scan, a Gleason score of 8 or higher, or the presence of visceral metastases. At the initiation of treatment, patients were administered either AA (1000 mg/day) plus prednisolone (5 mg/day) in combination with ADT (Upfront AA) or CAB therapy. CAB therapy consisted of bicalutamide (80 mg/day) combined with ADT. However, all patients eventually received AA during their treatment course. In cases where patients initially received CAB, AA was introduced after progression to CRPC. Patients were categorized into two groups for comparative analysis: those who received upfront AA (Upfront AA) and those who received AA after CRPC progression (AA after CRPC). Patients who received other ARSI as first-line treatment were excluded from this study. Endpoints The primary endpoint of this study was CSS, which was defined as the time from the initiation of first-line treatment to death due to prostate cancer. The secondary endpoints included time to CRPC, nadir prostate-specific antigen (PSA), and time to nadir PSA. TTCR was defined as the duration from the initiation of first-line treatment to CRPC progression. Nadir PSA was defined as the lowest PSA level recorded between the initiation of first-line treatment and progression to CRPC. Time to nadir PSA was defined as the time from treatment initiation to the lowest PSA level before CRPC progression. Imaging and Data Collection Throughout the treatment period, imaging evaluations were conducted every three months using CT, with contrast-enhanced CT performed unless contraindicated, and every six months using bone scintigraphy. Tumor response was assessed according to the Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. In addition, PSA levels were measured monthly to assess disease status and treatment response. Data on patient baseline characteristics at initial diagnosis were collected, including age, PSA, albumin (Alb), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), hemoglobin (Hb), presence of pain symptoms, Gleason score, extent of disease (EOD) score, and the presence of visceral metastases. ALP and LDH were measured using the Japan Society of Clinical Chemistry (JSCC) method, and values originally recorded using the International Federation of Clinical Chemistry (IFCC) method were converted to JSCC values for consistency ( 12 ). Oncological outcomes included the duration of AA treatment, nadir PSA, time to nadir PSA, progression to CRPC, time to CRPC, follow-up duration, all death, and cancer death. Statistical Analysis All statistical analyses were conducted using R version 4.3.1. Comparisons of patient baseline characteristics between the two groups were performed using the chi-square test. To balance baseline characteristics between the two groups, propensity score matching (1:1) was applied based on age, ALP, Hb, LDH, PSA, Gleason score, EOD score, and the presence of visceral metastases. To evaluate survival differences, Kaplan-Meier survival curves were generated and compared using the log-rank test. Multivariate analysis was conducted to assess prognostic factors for CSS. The following seven variables were included in the multivariate analysis: upfront AA treatment, age, PSA, Gleason score, ALP, LDH, and the presence of visceral metastases. Age, PSA, ALP, and LDH were classified into high and low groups based on their median values. Hazard ratios (HR) and 95% confidence intervals (CI) were calculated to determine the strength of associations. A p-value of < 0.05 was considered statistically significant in all analyses. Ethical Considerations This study was approved by the Institutional Review Board of Yokohama City University (approval number: F230300003). Due to the retrospective nature of the study, the requirement for written informed consent was waived, and opt-out information was provided via the institutional website. Results A total of 209 patients with high-risk mHSPC, as defined by the LATITUDE criteria, were retrospectively identified from our institutional database. Among them, 97 patients received AA as an upfront treatment, and 112 patients were treated with AA after CRPC. To reduce selection bias, 1:1 propensity score matching was performed based on eight clinical variables: age, ALP, Hb, LDH, initial PSA level, Gleason score, EOD score, and the presence of visceral metastasis. After matching, 85 patients were included in each group for further analysis. The baseline characteristics of patients in the Upfront AA and AA after CRPC groups are summarized in Table 1. After propensity score matching, 85 patients were included in each group. The two groups were well-balanced across all matching variables, including age at diagnosis, PSA level, albumin, ALP, LDH, hemoglobin, Gleason score, EOD score, and the presence of visceral metastases. No significant differences were observed between the groups. Table 1 Baseline characteristics of patients after propensity score matching. Oncological outcomes are summarized in Table 2. The Upfront AA group had a significantly longer TTCR compared to the AA after CRPC group (23.1 vs. 10.7 months, p < 0.001), and a significantly lower median nadir PSA (0.003 vs. 0.019 ng/mL, p < 0.001). However, despite these favorable parameters, CSS did not significantly differ between the groups (5-year CSS: 65.2% vs. 72.4%, p = 0.639). These findings were consistent with Kaplan–Meier analyses (Figure 2), which demonstrated a significantly prolonged TTCR in the Upfront AA group (p < 0.001), but no significant difference in CSS (p = 0.639). Table 2 Comparison of oncological outcomes between the Upfront AA group and the AA after CRPC group. To identify prognostic factors for CSS, a multivariate Cox regression analysis was performed in the propensity score–matched cohort (Table 3). Variables included age, ALP, LDH, Hb, EOD score, presence of visceral metastasis, and the timing of AA initiation. Among these, only ALP was identified as an independent prognostic factor. Notably, upfront AA was not associated with improved CSS. Table 3 Multivariate analysis of prognostic factors for cancer-specific survival. Subsequent analyses focused on treatment patterns following CRPC progression in the overall cohort. Table 4 presents a summary of sequential therapies received by patients with CRPC. Among them, 33 patients in the Upfront AA group and 112 in the AA after CRPC group developed CRPC and received further treatment. The Upfront AA group had fewer sequential treatment courses (mean: 1.6 vs. 2.2, p = 0.038), with a lower frequency of ARSI rechallenge or additional ARSI therapies. Table 4 Summary of sequential therapies administered after progression to CRPC. Figure 3 illustrates CSS following CRPC progression. The CSS after CRPC onset was significantly shorter in the Upfront AA group compared to the AA after CRPC group (5-year CSS: 20.5% vs. 49.7%, p = 0.034). Furthermore, when patients were stratified into three subgroups based on AA timing (Upfront, 2nd line, or 3rd line or later), no significant difference in CSS was observed among these groups (p = 0.127). Discussion This study is the first to investigate the impact of the timing of AA administration on CSS in patients with mHSPC. Although previous studies have compared upfront AA with CAB ( 13 – 17 ), no studies have focused on comparing upfront AA with AA administered after CRPC. Additionally, this study is characterized by a relatively long median observation period compared with previous real-world studies (29.2 months in the upfront AA group, 53.6 months in AA after CRPC group). The results of our study demonstrated that the timing of AA administration did not significantly affect CSS. Previous studies have reported that a longer TTCR is associated with improved OS and CSS ( 18 – 20 ). Furthermore, both clinical trials and real-world data have shown that upfront ARSI significantly prolongs TTCR compared to CAB or ADT alone ( 1 , 2 , 13 – 15 ). However, studies involving Japanese populations have reported that an extended TTCR does not necessarily lead to improved OS or CSS ( 13 , 14 , 21 ). In our study, the upfront AA group had a significantly longer TTCR than AA after CRPC group, but no significant difference in CSS was observed. Moreover, CSS after CRPC was significantly shorter in the upfront AA group. This result suggests that patients who develop CRPC after receiving upfront ARSI may have a more aggressive disease than those who progress to CRPC after CAB. It also implies the potential existence of prognostic factors beyond those defined by the LATITUDE trial risk classification. These findings support the notion that the timing of AA administration is not the sole determinant of long-term survival, and that optimizing the entire treatment strategy, including sequential therapy after CRPC progression, plays a critical role. In our study, the number of sequential therapies administered after CRPC was lower in the upfront AA group than in AA after CRPC group, suggesting a limitation in treatment options for patients who receive upfront ARSI. This may be because patients who progress to CRPC after upfront ARSI face limited options for effective second-line or later therapies, making it more difficult to construct optimal sequential treatment strategies. These findings highlight a key issue: that effective treatment options may be fewer for patients progressing to CRPC after upfront ARSI, and that optimal sequential therapy remains to be established. Although studies on sequential therapy after CRPC are limited, previous reports suggest that the choice of subsequent treatments differs between upfront ARSI and CAB groups ( 22 ). Additionally, other studies have reported that the efficacy of sequential ARSI therapy following upfront ARSI is limited, and that chemotherapy may be more effective in patients with CRPC following ARSI use ( 14 , 17 ). Indeed, it has been reported that patients who develop CRPC after CAB generally receive ARSI as their next-line therapy, whereas those who receive upfront AA are more likely to be treated with chemotherapy ( 17 ), a finding consistent with the results of our study. These results suggest that different treatment strategies may be required for each group to prolong CSS after CRPC progression. As a future direction, it is important to clarify the optimal combination of sequential therapies for patients with CRPC following upfront ARSI. Conclusion This study is the first to examine the impact of the timing of AA administration on CSS in patients with mHSPC. Our findings indicate that while upfront AA significantly prolongs TTCR, it does not improve CSS. Moreover, no significant difference in CSS was observed based on the timing of AA initiation, and sequential therapy after CRPC appears to be a more critical determinant of long-term survival. Future studies should explore how different strategies for sequential therapy in upfront ARSI and CAB groups affect CSS. Establishing the optimal treatment sequence for patients who develop CRPC after upfront ARSI may become a key clinical issue. Abbreviations AA abiraterone acetate ARSI androgen receptor signaling inhibitor mHSPC metastatic hormone-sensitive prostate cancer ADT androgen deprivation therapy OS overall survival PFS progression-free survival CAB combined androgen blockade TTCR time to castration resistance CSS cancer-specific survival CRPC castration-resistant prostate cancer CT computed tomography PSA prostate-specific antigen RECIST Response Evaluation Criteria in Solid Tumors Alb albumin ALP alkaline phosphatase LDH lactate dehydrogenase Hb hemoglobin EOD extent of disease JSCC Japan Society of Clinical Chemistry IFCC International Federation of Clinical Chemistry HR hazard ratio CI confidence interval Declarations Human Ethics and Consent to Participate declarations This study was approved by the Institutional Review Board of Yokohama City University (approval number: F230300003). The requirement for written informed consent was waived due to the retrospective nature of the study. Clinical Trial Registration Clinical trial number: not applicable. Funding This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. Consent to Publish Consent to Publish declaration: not applicable. Ethics approval This study was approved by the Yokohama City University Institutional Review Board (approval no. F230300003). The need for informed consent was waived due to the retrospective nature of the study. Competing interests Hiroji Uemura has received payment or honoraria from Pfizer, Bayer, AstraZeneca, Ferring Pharma, and Takeda and has participated on a data safety monitoring board or advisory board for Janssen. The other authors have no competing interests. Author Contribution T.A. (Tomohiko Aigase) was responsible for the study concept, data collection, data analysis, and drafting of the manuscript. K.U., T.K., H.I., Y.I., H.H., J.T., K.M., and H.U. contributed to interpretation of the data, critical revision of the manuscript for important intellectual content, and supervision of the study process. All authors read and approved the final version of the manuscript. Data Availability The datasets generated and/or analyzed during the current study are not publicly available due to institutional policies and patient privacy considerations but are available from the corresponding author on reasonable request. References Fizazi K, Tran N, Fein L, et al. Abiraterone plus prednisone in metastatic, castration-sensitive prostate cancer. N Engl J Med. 2017;377(4):352–60. 10.1056/NEJMoa1704174 . Davis ID, Martin AJ, Stockler MR, et al. Enzalutamide with standard first-line therapy in metastatic prostate cancer. N Engl J Med. 2019;381(2):121–31. 10.1056/NEJMoa1903835 . Armstrong AJ, Szmulewitz RZ, Petrylak DP, et al. Enzalutamide for metastatic hormone-sensitive prostate cancer. 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Efficacy and safety of abiraterone acetate plus prednisone in Japanese patients with newly diagnosed, metastatic hormone-naïve prostate cancer: a subgroup analysis of LATITUDE, a randomized, double-blind, placebo-controlled, Phase 3 study. Jpn J Clin Oncol. 2018;48(11):1012–21. 10.1093/jjco/hyy129 . Ueda T, Fujita K, Nishimoto M, et al. Predictive factors for the efficacy of abiraterone acetate therapy in high-risk metastatic hormone-sensitive prostate cancer patients. World J Urol. 2022;40(12):2939–46. 10.1007/s00345-022-04200-2 . Ueda T, Shiraishi T, Ito S, et al. Abiraterone acetate versus bicalutamide in combination with gonadotropin releasing hormone antagonist therapy for high risk metastatic hormone sensitive prostate cancer. Sci Rep. 2021;11:10094. 10.1038/s41598-021-89609-2 . Yanagisawa T, Kimura T, Mori K, et al. Abiraterone acetate versus nonsteroidal antiandrogen with androgen deprivation therapy for high-risk metastatic hormone‐sensitive prostate cancer. Prostate. 2022;82(1):3–12. 10.1002/pros.24243 . Fujimoto T, Shirota M, Akiyama I, et al. Evaluation of basic performance and reference range of L-type WAKO ALP·IFCC reagent: Comparison between IFCC and JSCC methods of measuring alkaline phosphatase activity. Jpn J Med Technol. 2020;69(4):577–83. 10.14932/jamt.20-7 . Yanagisawa T, Kawada T, Nishida H, et al. Real-world comparison of upfront abiraterone versus combined androgen blockade for high-risk metastatic hormone-sensitive prostate cancer. Prostate. 2022;82(10):983–93. 10.1002/pros.24396 . Naiki T, Kawai N, Hashimoto Y, et al. Efficacy of upfront abiraterone acetate in high-risk metastatic hormone-sensitive prostate cancer patients in Japanese clinical practice. Int J Clin Oncol. 2021;26(9):1623–31. 10.1007/s10147-021-01954 . Tahara T, Ohno Y, Hayashi N, et al. Oncologic outcomes of upfront abiraterone acetate versus combined androgen blockade for high-risk metastatic hormone-sensitive prostate cancer: A multi-institutional retrospective analysis. Cancer Med. 2023;12(4):4567–74. 10.1002/cam4.5204 . Iwamoto H, Izumi K, Mizokami A, et al. Upfront abiraterone acetate plus androgen deprivation therapy versus combined androgen blockade for high-risk metastatic hormone-sensitive prostate cancer: A retrospective study. Prostate Int. 2023;11(2):59–65. 10.1016/j.prnil.2023.03.002 . Ueda T, Oishi M, Shiraishi T, et al. Clinical effectiveness of upfront abiraterone acetate compared with combined androgen blockade in patients with metastatic hormone-sensitive prostate cancer: A propensity score-matched analysis. BMC Urol. 2022;22:122. 10.1186/s12894-022-01079-2 . Miyake H, Matsushita Y, Tamura K, et al. Prognostic significance of time to castration resistance in patients with metastatic castration-sensitive prostate cancer. J Urol. 2018;199(2):380–7. Frees S, Akamatsu S, Bidnur S, et al. The impact of time to metastasis on overall survival in patients with prostate cancer. Urol Oncol. 2018;36(6):e3099–30916. Matsumoto H, Shiraishi T, Osawa T, et al. Impact of time to castration resistance on survival in metastatic hormone-sensitive prostate cancer. Anticancer Res. 2019;39(3):1391–6. Yoshida T, Sugimoto M, Okabe T, et al. Time to castration resistance is associated with overall survival in metastatic hormone-sensitive prostate cancer. Prostate. 2024;84(2):149–57. Yamamoto N, Fujimoto S, Hashimoto M, et al. Real-world outcomes in patients with metastatic castration-resistant prostate cancer beyond progression after upfront androgen receptor signaling inhibitor. Int J Urol. 2024;31(3):355–62. 10.1111/iju.15080 . Additional Declarations Competing interest reported. Hiroji Uemura has received payment or honoraria from Pfizer, Bayer, AstraZeneca, Ferring Pharma, and Takeda and has participated on a data safety monitoring board or advisory board for Janssen; Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 31 Jul, 2025 Reviews received at journal 27 Jul, 2025 Reviewers agreed at journal 24 Jul, 2025 Reviewers agreed at journal 17 Jul, 2025 Reviewers invited by journal 13 Jul, 2025 Editor invited by journal 11 Jul, 2025 Editor assigned by journal 11 Jul, 2025 Submission checks completed at journal 11 Jul, 2025 First submitted to journal 27 Jun, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6995219","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":484826118,"identity":"a9668c8d-ad33-477e-988e-25c7093101ce","order_by":0,"name":"Tomohiko Aigase","email":"data:image/png;base64,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","orcid":"","institution":"Yokohama City University Hospital","correspondingAuthor":true,"prefix":"","firstName":"Tomohiko","middleName":"","lastName":"Aigase","suffix":""},{"id":484826119,"identity":"90ee9d71-d7ba-4188-9a40-b08c3f8770f2","order_by":1,"name":"Koichi Uemura","email":"","orcid":"","institution":"Yokohama City University Hospital","correspondingAuthor":false,"prefix":"","firstName":"Koichi","middleName":"","lastName":"Uemura","suffix":""},{"id":484826120,"identity":"c11107f8-6fa4-4892-b029-ab68c98b80e3","order_by":2,"name":"Takashi Kawahara","email":"","orcid":"","institution":"Yokohama City University Medical Center","correspondingAuthor":false,"prefix":"","firstName":"Takashi","middleName":"","lastName":"Kawahara","suffix":""},{"id":484826121,"identity":"c2b40c91-c8e6-4d0c-8ab8-bcc1eacb37d2","order_by":3,"name":"Hiroki Ito","email":"","orcid":"","institution":"Yokohama City University Hospital","correspondingAuthor":false,"prefix":"","firstName":"Hiroki","middleName":"","lastName":"Ito","suffix":""},{"id":484826122,"identity":"1c42af05-8eb1-4cb6-b9df-05676944869c","order_by":4,"name":"Yusuke Ito","email":"","orcid":"","institution":"Yokohama City University Hospital","correspondingAuthor":false,"prefix":"","firstName":"Yusuke","middleName":"","lastName":"Ito","suffix":""},{"id":484826123,"identity":"53ddedf4-ca6f-4dfa-974a-e14af7708ff0","order_by":5,"name":"Hisashi Hasumi","email":"","orcid":"","institution":"Yokohama City University Hospital","correspondingAuthor":false,"prefix":"","firstName":"Hisashi","middleName":"","lastName":"Hasumi","suffix":""},{"id":484826124,"identity":"dc68e52a-daa2-4012-8b57-364d09915efa","order_by":6,"name":"Junichi Teranishi","email":"","orcid":"","institution":"Yokohama City University Medical Center","correspondingAuthor":false,"prefix":"","firstName":"Junichi","middleName":"","lastName":"Teranishi","suffix":""},{"id":484826125,"identity":"cd09d56a-f6aa-4b1b-b993-5446b366188a","order_by":7,"name":"Kazuhide Makiyama","email":"","orcid":"","institution":"Yokohama City University Hospital","correspondingAuthor":false,"prefix":"","firstName":"Kazuhide","middleName":"","lastName":"Makiyama","suffix":""},{"id":484826126,"identity":"b0ad2733-11f0-44b4-bde9-f6c95ee0f303","order_by":8,"name":"Hiroji Uemura","email":"","orcid":"","institution":"Yokohama City University Medical Center","correspondingAuthor":false,"prefix":"","firstName":"Hiroji","middleName":"","lastName":"Uemura","suffix":""}],"badges":[],"createdAt":"2025-06-28 03:38:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6995219/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6995219/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":87034469,"identity":"597c39ce-bc98-4f2b-a7db-22f9fcca62fd","added_by":"auto","created_at":"2025-07-18 13:09:46","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":34877,"visible":true,"origin":"","legend":"\u003cp\u003eFlowchart of patient selection and propensity score matching. A total of 209 patients with high-risk metastatic hormone-sensitive prostate cancer (mHSPC), defined according to the LATITUDE criteria, were retrospectively identified. Among them, 97 patients received abiraterone acetate (AA) as upfront therapy, and 112 patients received AA after progression to castration-resistant prostate cancer (CRPC). Propensity score matching was performed based on eight clinical variables (age, alkaline phosphatase (ALP), hemoglobin (Hb), lactate dehydrogenase (LDH), initial PSA, Gleason score, extent of disease (EOD) score, and visceral metastasis), resulting in 85 patients in each group for comparative analysis.\u003c/p\u003e","description":"","filename":"Picture1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6995219/v1/1489e5c62621a9e7ac7ac7ca.jpg"},{"id":87034468,"identity":"1180503e-1b5e-4982-a99b-5b3220d941bd","added_by":"auto","created_at":"2025-07-18 13:09:46","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":33114,"visible":true,"origin":"","legend":"\u003cp\u003eKaplan–Meier curves for Cancer-specific survival (CSS) and time to castration-resistant prostate cancer (CRPC) in propensity score-matched cohorts. (A) CSS was compared between the Upfront abiraterone acetate (AA) group and the AA after CRPC group. The median CSS was not reached in the Upfront AA group and was 62.1 months (95% CI, 45.4–74.6) in the AA after CRPC group. There was no statistically significant difference in CSS between the two groups (hazard ratio [HR], 0.7292; 95% CI, 0.411–1.293; P = 0.279). (B) Time to CRPC (TTCR) was significantly longer in the Upfront AA group than in the AA after CRPC group. The median TTCR was not reached in the Upfront AA group and was 12.1 months (95% CI, 10.1–15.3) in the AA after CRPC group (HR, 0.188; 95% CI, 0.122–0.289; P \u0026lt; 0.01).\u003c/p\u003e","description":"","filename":"Picture2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6995219/v1/b6a398d4655b40057097b261.jpg"},{"id":87034471,"identity":"1056d92d-76f9-4d86-a1bd-9c1d0cbdcf80","added_by":"auto","created_at":"2025-07-18 13:09:46","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":54004,"visible":true,"origin":"","legend":"\u003cp\u003eCancer-specific survival (CSS) following progression to castration-resistant prostate cancer (CRPC). (A) CSS after CRPC was compared between the Upfront abiraterone acetate (AA) group (n = 34) and the AA after CRPC group (n = 112). The median CSS was significantly shorter in the Upfront AA group (17.6 months; 95% CI, 10.8–36.8) compared to the AA after CRPC group (50.4 months; 95% CI, 42.7–59.8) (hazard ratio [HR], 4.467; 95% CI, 2.445–8.161; P \u0026lt; 0.001). (B) Patients were categorized into three groups based on the timing of AA initiation: Upfront (n = 97), second line (n = 40), and third-line or later (n = 72). There was no significant difference in overall CSS among the groups (P = 0.701).\u003c/p\u003e","description":"","filename":"Picture3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-6995219/v1/d94e1522a6bdd09d9403c766.jpg"},{"id":87038792,"identity":"ec712d4e-cac5-4692-87f0-42e627cb5f37","added_by":"auto","created_at":"2025-07-18 13:33:46","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":818613,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6995219/v1/c904250c-2228-46d0-80a2-04e9531b8304.pdf"}],"financialInterests":"Competing interest reported. Hiroji Uemura has received payment or honoraria from Pfizer, Bayer, AstraZeneca, Ferring Pharma, and Takeda and has participated on a data safety monitoring board or advisory board for Janssen;","formattedTitle":"Sequential Treatment and Survival Outcomes According to Abiraterone Timing in High-Risk mHSPC: A Real-World Propensity-Matched Study","fulltext":[{"header":"Background","content":"\u003cp\u003eAbiraterone acetate (AA) plus prednisolone, an androgen receptor signaling inhibitor (ARSI) that inhibits androgen biosynthesis, was established as an effective treatment for high-risk metastatic hormone sensitive prostate cancer (mHSPC) based on the LATITUDE trial. In this trial, AA plus androgen deprivation therapy (ADT) significantly improved overall survival (OS) and progression-free survival (PFS) compared to ADT alone. However, LATITUDE exclusively compared AA plus ADT with ADT monotherapy, and no direct comparison was made between AA and combined androgen blockade (CAB; ADT plus bicalutamide) (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eAmong other treatment options, ARSI or chemotherapy have also demonstrated efficacy in treating mHSPC (\u003cspan additionalcitationids=\"CR3 CR4 CR5\" citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e). Enzalutamide is the only ARSI that has been directly compared to CAB in clinical trials, providing additional evidence regarding its effectiveness over traditional antiandrogen therapy (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e). However, despite the growing body of evidence supporting upfront ARSI use, optimal treatment sequencing and the impact of the timing of AA administration on long-term outcomes remain unclear.\u003c/p\u003e\u003cp\u003eSeveral real-world studies have suggested that upfront AA prolongs time to castration-resistant prostate cancer (TTCR) compared to CAB (\u003cspan additionalcitationids=\"CR8 CR9 CR10\" citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e). However, whether upfront AA improves cancer-specific survival (CSS) remains uncertain, particularly in the Japanese population.\u003c/p\u003e\u003cp\u003eUnlike previous studies that compared upfront AA to CAB or ADT alone, this study exclusively included patients who received AA at some point during their treatment course. This unique design allows for a more focused investigation of the clinical impact of AA timing. The primary objective of this study was not only to evaluate the efficacy of upfront AA but also to examine whether the timing of AA initiation, either at diagnosis or after progression to castration-resistant prostate cancer (CRPC), affects oncological outcomes.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003ePatients and Study Design\u003c/p\u003e\u003cp\u003eThis retrospective study included 209 patients who initiated AA between January 2015 and December 2022 at Yokohama City University Hospital and Yokohama City University Medical Center. All patients were diagnosed with prostate cancer through needle biopsy and underwent metastatic evaluation using computed tomography (CT) and bone scintigraphy.\u003c/p\u003e\u003cp\u003eAll patients met the high-risk criteria defined in the LATITUDE trial for mHSPC, which included the presence of at least two of the following factors: three or more bone metastases on bone scan, a Gleason score of 8 or higher, or the presence of visceral metastases.\u003c/p\u003e\u003cp\u003eAt the initiation of treatment, patients were administered either AA (1000 mg/day) plus prednisolone (5 mg/day) in combination with ADT (Upfront AA) or CAB therapy. CAB therapy consisted of bicalutamide (80 mg/day) combined with ADT. However, all patients eventually received AA during their treatment course. In cases where patients initially received CAB, AA was introduced after progression to CRPC. Patients were categorized into two groups for comparative analysis: those who received upfront AA (Upfront AA) and those who received AA after CRPC progression (AA after CRPC).\u003c/p\u003e\u003cp\u003ePatients who received other ARSI as first-line treatment were excluded from this study.\u003c/p\u003e\u003cp\u003eEndpoints\u003c/p\u003e\u003cp\u003eThe primary endpoint of this study was CSS, which was defined as the time from the initiation of first-line treatment to death due to prostate cancer. The secondary endpoints included time to CRPC, nadir prostate-specific antigen (PSA), and time to nadir PSA. TTCR was defined as the duration from the initiation of first-line treatment to CRPC progression. Nadir PSA was defined as the lowest PSA level recorded between the initiation of first-line treatment and progression to CRPC. Time to nadir PSA was defined as the time from treatment initiation to the lowest PSA level before CRPC progression.\u003c/p\u003e\u003cp\u003eImaging and Data Collection\u003c/p\u003e\u003cp\u003eThroughout the treatment period, imaging evaluations were conducted every three months using CT, with contrast-enhanced CT performed unless contraindicated, and every six months using bone scintigraphy. Tumor response was assessed according to the Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. In addition, PSA levels were measured monthly to assess disease status and treatment response.\u003c/p\u003e\u003cp\u003eData on patient baseline characteristics at initial diagnosis were collected, including age, PSA, albumin (Alb), alkaline phosphatase (ALP), lactate dehydrogenase (LDH), hemoglobin (Hb), presence of pain symptoms, Gleason score, extent of disease (EOD) score, and the presence of visceral metastases. ALP and LDH were measured using the Japan Society of Clinical Chemistry (JSCC) method, and values originally recorded using the International Federation of Clinical Chemistry (IFCC) method were converted to JSCC values for consistency (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eOncological outcomes included the duration of AA treatment, nadir PSA, time to nadir PSA, progression to CRPC, time to CRPC, follow-up duration, all death, and cancer death.\u003c/p\u003e\u003cdiv id=\"Sec2\" class=\"Section2\"\u003e\u003ch2\u003eStatistical Analysis\u003c/h2\u003e\u003cp\u003eAll statistical analyses were conducted using R version 4.3.1. Comparisons of patient baseline characteristics between the two groups were performed using the chi-square test. To balance baseline characteristics between the two groups, propensity score matching (1:1) was applied based on age, ALP, Hb, LDH, PSA, Gleason score, EOD score, and the presence of visceral metastases.\u003c/p\u003e\u003cp\u003eTo evaluate survival differences, Kaplan-Meier survival curves were generated and compared using the log-rank test. Multivariate analysis was conducted to assess prognostic factors for CSS. The following seven variables were included in the multivariate analysis: upfront AA treatment, age, PSA, Gleason score, ALP, LDH, and the presence of visceral metastases. Age, PSA, ALP, and LDH were classified into high and low groups based on their median values.\u003c/p\u003e\u003cp\u003eHazard ratios (HR) and 95% confidence intervals (CI) were calculated to determine the strength of associations. A p-value of \u0026lt;\u0026thinsp;0.05 was considered statistically significant in all analyses.\u003c/p\u003e\u003cp\u003eEthical Considerations\u003c/p\u003e\u003cp\u003e This study was approved by the Institutional Review Board of Yokohama City University (approval number: F230300003). Due to the retrospective nature of the study, the requirement for written informed consent was waived, and opt-out information was provided via the institutional website.\u003c/p\u003e\u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003eA total of 209 patients with high-risk mHSPC, as defined by the LATITUDE criteria, were retrospectively identified from our institutional database. Among them, 97 patients received AA as an upfront treatment, and 112 patients were treated with AA after CRPC. To reduce selection bias, 1:1 propensity score matching was performed based on eight clinical variables: age, ALP, Hb, LDH, initial PSA level, Gleason score, EOD score, and the presence of visceral metastasis. After matching, 85 patients were included in each group for further analysis.\u003c/p\u003e\n\u003cp\u003eThe baseline characteristics of patients in the Upfront AA and AA after CRPC groups are summarized in Table 1. After propensity score matching, 85 patients were included in each group. The two groups were well-balanced across all matching variables, including age at diagnosis, PSA level, albumin, ALP, LDH, hemoglobin, Gleason score, EOD score, and the presence of visceral metastases. No significant differences were observed between the groups.\u003c/p\u003e\n\u003cp\u003eTable 1 Baseline characteristics of patients after propensity score matching.\u003c/p\u003e\n\u003cp\u003e\u003cimg width=\"567\" height=\"635\" 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\" alt=\"image\"\u003eOncological outcomes are summarized in Table 2. The Upfront AA group had a significantly longer TTCR compared to the AA after CRPC group (23.1 vs. 10.7 months, p \u0026lt; 0.001), and a significantly lower median nadir PSA (0.003 vs. 0.019 ng/mL, p \u0026lt; 0.001). However, despite these favorable parameters, CSS did not significantly differ between the groups (5-year CSS: 65.2% vs. 72.4%, p = 0.639). These findings were consistent with Kaplan\u0026ndash;Meier analyses (Figure 2), which demonstrated a significantly prolonged TTCR in the Upfront AA group (p \u0026lt; 0.001), but no significant difference in CSS (p = 0.639).\u003c/p\u003e\n\u003cp\u003eTable 2 Comparison of oncological outcomes between the Upfront AA group and the AA after CRPC group.\u003c/p\u003e\n\u003cp\u003e\u003cimg width=\"567\" height=\"277\" 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alt=\"image\"\u003e\u003c/p\u003e\n\u003cp\u003eTo identify prognostic factors for CSS, a multivariate Cox regression analysis was performed in the propensity score\u0026ndash;matched cohort (Table 3). Variables included age, ALP, LDH, Hb, EOD score, presence of visceral metastasis, and the timing of AA initiation. Among these, only ALP was identified as an independent prognostic factor. Notably, upfront AA was not associated with improved CSS.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 3 Multivariate analysis of prognostic factors for cancer-specific survival.\u003c/p\u003e\n\u003cp\u003e\u003cimg width=\"568\" height=\"217\" 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alt=\"image\"\u003e\u003c/p\u003e\n\u003cp\u003eSubsequent analyses focused on treatment patterns following CRPC progression in the overall cohort. Table 4 presents a summary of sequential therapies received by patients with CRPC. Among them, 33 patients in the Upfront AA group and 112 in the AA after CRPC group developed CRPC and received further treatment. The Upfront AA group had fewer sequential treatment courses (mean: 1.6 vs. 2.2, p = 0.038), with a lower frequency of ARSI rechallenge or additional ARSI therapies.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTable 4 Summary of sequential therapies administered after progression to CRPC.\u003c/p\u003e\n\u003cp\u003e\u003cimg width=\"508\" height=\"666\" 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\" alt=\"image\"\u003e\u003c/p\u003e\n\u003cp\u003eFigure 3 illustrates CSS following CRPC progression. The CSS after CRPC onset was significantly shorter in the Upfront AA group compared to the AA after CRPC group (5-year CSS: 20.5% vs. 49.7%, p = 0.034). Furthermore, when patients were stratified into three subgroups based on AA timing (Upfront, 2nd line, or 3rd line or later), no significant difference in CSS was observed among these groups (p = 0.127).\u0026nbsp;\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study is the first to investigate the impact of the timing of AA administration on CSS in patients with mHSPC. Although previous studies have compared upfront AA with CAB (\u003cspan additionalcitationids=\"CR14 CR15 CR16\" citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e), no studies have focused on comparing upfront AA with AA administered after CRPC. Additionally, this study is characterized by a relatively long median observation period compared with previous real-world studies (29.2 months in the upfront AA group, 53.6 months in AA after CRPC group).\u003c/p\u003e\u003cp\u003eThe results of our study demonstrated that the timing of AA administration did not significantly affect CSS. Previous studies have reported that a longer TTCR is associated with improved OS and CSS (\u003cspan additionalcitationids=\"CR19\" citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e). Furthermore, both clinical trials and real-world data have shown that upfront ARSI significantly prolongs TTCR compared to CAB or ADT alone (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan additionalcitationids=\"CR14\" citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e). However, studies involving Japanese populations have reported that an extended TTCR does not necessarily lead to improved OS or CSS (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIn our study, the upfront AA group had a significantly longer TTCR than AA after CRPC group, but no significant difference in CSS was observed. Moreover, CSS after CRPC was significantly shorter in the upfront AA group. This result suggests that patients who develop CRPC after receiving upfront ARSI may have a more aggressive disease than those who progress to CRPC after CAB. It also implies the potential existence of prognostic factors beyond those defined by the LATITUDE trial risk classification.\u003c/p\u003e\u003cp\u003eThese findings support the notion that the timing of AA administration is not the sole determinant of long-term survival, and that optimizing the entire treatment strategy, including sequential therapy after CRPC progression, plays a critical role. In our study, the number of sequential therapies administered after CRPC was lower in the upfront AA group than in AA after CRPC group, suggesting a limitation in treatment options for patients who receive upfront ARSI.\u003c/p\u003e\u003cp\u003eThis may be because patients who progress to CRPC after upfront ARSI face limited options for effective second-line or later therapies, making it more difficult to construct optimal sequential treatment strategies. These findings highlight a key issue: that effective treatment options may be fewer for patients progressing to CRPC after upfront ARSI, and that optimal sequential therapy remains to be established.\u003c/p\u003e\u003cp\u003eAlthough studies on sequential therapy after CRPC are limited, previous reports suggest that the choice of subsequent treatments differs between upfront ARSI and CAB groups (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e). Additionally, other studies have reported that the efficacy of sequential ARSI therapy following upfront ARSI is limited, and that chemotherapy may be more effective in patients with CRPC following ARSI use (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIndeed, it has been reported that patients who develop CRPC after CAB generally receive ARSI as their next-line therapy, whereas those who receive upfront AA are more likely to be treated with chemotherapy (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e), a finding consistent with the results of our study.\u003c/p\u003e\u003cp\u003eThese results suggest that different treatment strategies may be required for each group to prolong CSS after CRPC progression. As a future direction, it is important to clarify the optimal combination of sequential therapies for patients with CRPC following upfront ARSI.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study is the first to examine the impact of the timing of AA administration on CSS in patients with mHSPC. Our findings indicate that while upfront AA significantly prolongs TTCR, it does not improve CSS. Moreover, no significant difference in CSS was observed based on the timing of AA initiation, and sequential therapy after CRPC appears to be a more critical determinant of long-term survival.\u003c/p\u003e\u003cp\u003eFuture studies should explore how different strategies for sequential therapy in upfront ARSI and CAB groups affect CSS. Establishing the optimal treatment sequence for patients who develop CRPC after upfront ARSI may become a key clinical issue.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eAA\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;abiraterone acetate\u003c/p\u003e\n\u003cp\u003eARSI\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;androgen receptor signaling inhibitor\u003c/p\u003e\n\u003cp\u003emHSPC\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;metastatic hormone-sensitive prostate cancer\u003c/p\u003e\n\u003cp\u003eADT\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;androgen deprivation therapy\u003c/p\u003e\n\u003cp\u003eOS\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;overall survival\u003c/p\u003e\n\u003cp\u003ePFS\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;progression-free survival\u003c/p\u003e\n\u003cp\u003eCAB\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;combined androgen blockade\u003c/p\u003e\n\u003cp\u003eTTCR\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;time to castration resistance\u003c/p\u003e\n\u003cp\u003eCSS\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;cancer-specific survival\u003c/p\u003e\n\u003cp\u003eCRPC\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;castration-resistant prostate cancer\u003c/p\u003e\n\u003cp\u003eCT\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;computed tomography\u003c/p\u003e\n\u003cp\u003ePSA\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;prostate-specific antigen\u003c/p\u003e\n\u003cp\u003eRECIST\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Response Evaluation Criteria in Solid Tumors\u003c/p\u003e\n\u003cp\u003eAlb\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;albumin\u003c/p\u003e\n\u003cp\u003eALP\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;alkaline phosphatase\u003c/p\u003e\n\u003cp\u003eLDH\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;lactate dehydrogenase\u003c/p\u003e\n\u003cp\u003eHb\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;hemoglobin\u003c/p\u003e\n\u003cp\u003eEOD\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u0026nbsp;extent of disease\u003c/p\u003e\n\u003cp\u003eJSCC\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Japan Society of Clinical Chemistry\u003c/p\u003e\n\u003cp\u003eIFCC\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;International Federation of Clinical Chemistry\u003c/p\u003e\n\u003cp\u003eHR\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;hazard ratio\u003c/p\u003e\n\u003cp\u003eCI \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;confidence interval\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eHuman Ethics and Consent to Participate declarations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was approved by the Institutional Review Board of Yokohama City University (approval number: F230300003). The requirement for written informed consent was waived due to the retrospective nature of the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eClinical Trial Registration\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eClinical trial number: not applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to Publish\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConsent to Publish declaration: not applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was approved by the Yokohama City University Institutional Review Board (approval no. F230300003). The need for informed consent was waived due to the retrospective nature of the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eHiroji Uemura has received payment or honoraria from Pfizer, Bayer, AstraZeneca, Ferring Pharma, and Takeda and has participated on a data safety monitoring board or advisory board for Janssen. The other authors have no competing interests.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eT.A. (Tomohiko Aigase) was responsible for the study concept, data collection, data analysis, and drafting of the manuscript. K.U., T.K., H.I., Y.I., H.H., J.T., K.M., and H.U. contributed to interpretation of the data, critical revision of the manuscript for important intellectual content, and supervision of the study process. All authors read and approved the final version of the manuscript.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe datasets generated and/or analyzed during the current study are not publicly available due to institutional policies and patient privacy considerations but are available from the corresponding author on reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eFizazi K, Tran N, Fein L, et al. Abiraterone plus prednisone in metastatic, castration-sensitive prostate cancer. N Engl J Med. 2017;377(4):352\u0026ndash;60. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1056/NEJMoa1704174\u003c/span\u003e\u003cspan address=\"10.1056/NEJMoa1704174\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eDavis ID, Martin AJ, Stockler MR, et al. 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Int J Urol. 2024;31(3):355\u0026ndash;62. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1111/iju.15080\u003c/span\u003e\u003cspan address=\"10.1111/iju.15080\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-urology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"buro","sideBox":"Learn more about [BMC Urology](http://bmcurol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/buro/default.aspx","title":"BMC Urology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"metastatic hormone-sensitive prostate cancer, abiraterone acetate, androgen receptor signaling inhibitor, castration-resistant prostate cancer, sequential therapy","lastPublishedDoi":"10.21203/rs.3.rs-6995219/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6995219/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e\u003cp\u003eThe optimal timing of abiraterone acetate (AA) in the treatment of metastatic hormone-sensitive prostate cancer (mHSPC) remains unclear. Unlike previous studies comparing upfront AA with combined androgen blockade (CAB) or androgen deprivation therapy (ADT) alone, our study uniquely focused on patients who received AA at some point during their treatment. We aimed to evaluate whether the timing of AA administration influences cancer-specific survival (CSS), with particular attention to outcomes following progression to castration-resistant prostate cancer (CRPC).\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e\u003cp\u003eThis retrospective study included 209 patients with high-risk mHSPC treated at two institutions between 2015 and 2022. All patients received AA during their treatment course. Patients were classified into upfront AA and AA after CRPC groups. Propensity score matching (1:1) was performed using age, PSA, ALP, LDH, hemoglobin, Gleason score, extent of disease (EOD) score, and visceral metastases. The primary endpoint was CSS. Kaplan\u0026ndash;Meier analysis and Cox regression were used to compare outcomes.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eAfter matching, 85 patients were included in each group. The upfront AA group had a significantly longer time to CRPC (median not reached vs. 12.1 months; P\u0026thinsp;\u0026lt;\u0026thinsp;0.001). However, no significant difference in CSS was observed between groups (P\u0026thinsp;=\u0026thinsp;0.279). Importantly, CSS after CRPC was significantly shorter in the upfront AA group (median 17.6 vs. 50.4 months; P\u0026thinsp;\u0026lt;\u0026thinsp;0.001). The upfront AA group also received fewer sequential therapies after CRPC progression. These findings suggest that upfront AA alone does not improve long-term survival and may limit subsequent treatment options.\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e\u003cp\u003eWhile upfront AA prolongs time to CRPC, it does not translate into improved CSS. Our results highlight the need to optimize treatment sequencing for patients with CRPC following upfront androgen receptor signaling inhibitor use and suggest that alternative post-CRPC strategies should be considered to enhance survival.\u003c/p\u003e","manuscriptTitle":"Sequential Treatment and Survival Outcomes According to Abiraterone Timing in High-Risk mHSPC: A Real-World Propensity-Matched Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-18 13:09:41","doi":"10.21203/rs.3.rs-6995219/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2025-07-31T21:06:57+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-07-27T11:28:39+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"96061085158368366293873664056550389856","date":"2025-07-24T18:50:31+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"66737108075187506586523784804219263740","date":"2025-07-17T06:36:28+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-07-14T02:54:02+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-07-11T20:17:10+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-07-11T06:25:59+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-07-11T06:24:51+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Urology","date":"2025-06-28T03:29:35+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-urology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"buro","sideBox":"Learn more about [BMC Urology](http://bmcurol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/buro/default.aspx","title":"BMC Urology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"46b649fe-0a76-48bf-b6d4-961d03557fc3","owner":[],"postedDate":"July 18th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-07-18T13:09:41+00:00","versionOfRecord":[],"versionCreatedAt":"2025-07-18 13:09:41","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6995219","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6995219","identity":"rs-6995219","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}