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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphar.2017.00836</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effectiveness of Deferred Combined Androgen Blockade Therapy Predicts Efficacy in Abiraterone Acetate Treated Metastatic Castration-Resistant Prostate Cancer Patients after Docetaxel</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Jian-Ri</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/361367/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chiu</surname> <given-names>Kun-Yuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Shian-Shiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Cheng-Kuang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Chuan-Shu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ho</surname> <given-names>Hao-Chung</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hung</surname> <given-names>Chi-Feng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cheng</surname> <given-names>Chen-Li</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yang</surname> <given-names>Chi-Rei</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/368805/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Cheng-Che</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Shu-Chi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Chia-Yen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/466153/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chang</surname> <given-names>Chao-Hsiang</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hsu</surname> <given-names>Chiann-Yi</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ou</surname> <given-names>Yen-Chuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Division of Urology, Department of Surgery, Taichung Veterans General Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Institute of Medicine, Chung Sang Medical University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Medicine and Nursing, Hungkuang University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Applied Chemistry, National Chi Nan University</institution>, <addr-line>Nantou</addr-line>, <country>Taiwan</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Urology, China Medical University Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Medical Research, Taichung Veterans General Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<aff id="aff7"><sup>7</sup><institution>Tung&#x00027;s Taichung MetroHarbor Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Jean-Paul Deslypere, Besins Healthcare, Thailand</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Domenico Criscuolo, Genovax S.r.l., Italy; Robert L. Lins, Retired, Antwerpen, Belgium</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Yen-Chuan Ou <email>ycou&#x00040;vghtc.gov.tw</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Pharmaceutical Medicine and Outcomes Research, a section of the journal Frontiers in Pharmacology</p></fn></author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>11</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>836</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>07</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>11</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Li, Chiu, Wang, Yang, Chen, Ho, Hung, Cheng, Yang, Chen, Wang, Lin, Chang, Hsu and Ou.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Li, Chiu, Wang, Yang, Chen, Ho, Hung, Cheng, Yang, Chen, Wang, Lin, Chang, Hsu and Ou</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><p><bold>Introduction:</bold> Conventional anti-androgen regimens were widely used as an initiation or combined androgen blockade (CAB) therapy in advanced prostate cancer patients. Currently, new androgen pathway inhibitors such as abiraterone acetate (AA) and enzalutamide had been proven effective in metastatic castration resistant prostate cancer. In this study, we attempt to analyze the role of conventional anti-androgen drugs as deferred CAB therapy in castration-resistant prostate cancer patients.</p>
<p><bold>Materials and Methods:</bold> From 2012 to 2017, 48 metastatic castration-resistant prostate cancer (CRPC) patients who received sequential treatments with primary androgen blockade, oral anti-androgen regimens, and docetaxel followed by AA treatment were included. We defined effective deferred CAB as any decline of PSA after add-on antiandrogen after CRPC. Patients were separated into effective and ineffective deferred CAB. Comparison between two groups in the first line androgen deprivation therapy duration, CRPC PSA level, pre-AA PSA level, chemotherapy dosages, duration, and patients progression free survival and overall survival after AA treatment were analyzed.</p>
<p><bold>Results:</bold> Twenty-three patients (47.9%) achieved PSA decline after deferred CAB. Among total 48 patients, 24 patients experienced PSA decline more than 50% after AA treatment. The median PSA progression-free survival and overall survival after AA treatment in the total cohort of 48 patients were 4.4 and 24.3 months, respectively. The effective deferred CAB group showed significantly lower PSA level, lower percentage of PSA progression, higher total follow-up duration, higher percentage of surviving patients, better progression free survival, and overall survival estimate after AA treatment. Of the eight variables analyzed, effectiveness in deferred CAB showed positive association to progression free survival (HR 0.29, 95% CI 0.12&#x02013;0.67, <italic>p</italic> &#x0003D; 0.004) and overall survival (HR 0.24, 95% CI 0.07&#x02013;0.81, <italic>p</italic> &#x0003D; 0.022). First line androgen deprivation therapy (ADT) duration also showed positive association to overall survival (HR 0.95, 95% CI 0.91&#x02013;0.99, <italic>p</italic> &#x0003D; 0.023).</p>
<p><bold>Conclusions:</bold> Effectiveness of deferred CAB therapy was positively associated with progression free survival and overall survival of AA treatment after docetaxel. It can be used as a pre-treatment predictor.</p></abstract>
<kwd-group>
<kwd>abiraterone acetate</kwd>
<kwd>androgen deprivation therapy</kwd>
<kwd>castration-resistant prostate cancer</kwd>
<kwd>deferred combined androgen blockade</kwd>
<kwd>docetaxel</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="17"/>
<page-count count="7"/>
<word-count count="3600"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Sequential drugs with androgen deprivation therapies, chemotherapies, and androgen receptor signaling inhibitors had been proven as the mainstay of treatment in metastatic prostate cancer (Mukherji et al., <xref ref-type="bibr" rid="B11">2014</xref>; Lorente et al., <xref ref-type="bibr" rid="B10">2015</xref>). Abiraterone acetate (AA) and enzalutamide were two of the newly developed regimens which can prolong overall survival in metastatic castration resistant prostate cancer (MCRPC) patients (Fizazi et al., <xref ref-type="bibr" rid="B4">2012</xref>; Scher et al., <xref ref-type="bibr" rid="B15">2012</xref>). Currently, both regimens had been proven effective in chemo-na&#x000EF;ve or post-chemotherapy settings (Fizazi et al., <xref ref-type="bibr" rid="B4">2012</xref>; Scher et al., <xref ref-type="bibr" rid="B15">2012</xref>; Beer et al., <xref ref-type="bibr" rid="B1">2014</xref>; Ryan et al., <xref ref-type="bibr" rid="B14">2015</xref>). Both STRIVE and TERRAIN trials showed enzalutamide was superior in progression free survival in MCRPC patients (Penson et al., <xref ref-type="bibr" rid="B13">2016</xref>; Shore et al., <xref ref-type="bibr" rid="B17">2016</xref>). In the recent European Association of Urology (EAU) guidelines, there was no role of conventional anti-androgens while castration-resistant prostate cancer (CRPC) developed (Cornford et al., <xref ref-type="bibr" rid="B3">2017</xref>). However, before AA and enzalutamide launched, anti-androgen regimens, such as cyproterone, bicalutamide, and flutamide were applied to extend biochemical control with small benefit in survival. The median response duration ranged from 4.2 to 11 months with the use of bicalutamide or flutamide (Foss&#x000E5; et al., <xref ref-type="bibr" rid="B6">2001</xref>; Fujii et al., <xref ref-type="bibr" rid="B7">2006</xref>; Nishimura et al., <xref ref-type="bibr" rid="B12">2007</xref>). Besides, Kijima et al. reported PSA response after deferred combined androgen blockade (CAB) therapy using bicalutamide could be an indicator to predict subsequent treatment outcome (Kijima et al., <xref ref-type="bibr" rid="B8">2012</xref>). Therefore, we conducted a clinical investigation of AA in MCRPC patients after chemotherapy and validated the association between AA treatment efficacy and deferred CAB effectiveness.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Patients</title>
<p>This retrospectively chart-review study was conducted to analyze MCRPC patients after chemotherapy using AA between 2012 and 2017. Total 93 consecutive patients were identified, and 10 were excluded because of incomplete data or loss of follow-up; another 35 patients were excluded because of not eligible for deferred CAB. Deferred CAB therapy was defined as add-on anti-androgen regimens after CRPC. Among 48 included patients, the first line ADT used were orchiectomy in 6, and LH-RH agonist in 42. The retrospective chart review protocol was approved and certified by the institute review board of Taichung Veterans General Hospital, number CE13240A-2 and CE13240-3. All patients received AA 1,000 mg with prednisolone 5 or 10 mg per day and standard of care in pain control or adverse events management during therapy.</p>
</sec>
<sec>
<title>Study assessment</title>
<p>Figure <xref ref-type="fig" rid="F1">1</xref> demonstrated the management sequence during this study. The primary patient characteristics were age at start of AA treatment, serum PSA level while diagnosed MCRPC, PSA level while beginning of chemotherapy, PSA level while beginning of AA treatment, first-line chemotherapy cycles, first-line ADT therapy duration, chemotherapy duration, total follow-up duration, percentage of progression disease after AA treatment, and survival status.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flow chart demonstration of the management sequence.</p></caption>
<graphic xlink:href="fphar-08-00836-g0001.tif"/>
</fig>
<p>Definition of deferred CAB efficacy was any PSA decline after add-on anti-androgen regimes after CRPC. All patients were then divided into the deferred CAB effective and ineffective groups. The chemotherapy cycles were defined according to the standard 3-week docetaxel treatment. In our practice, 2- and 4-week courses of chemotherapy were performed. We transferred the 2-week cycles into standard 3-week cycle counts. PSA progression was the only tool in the diagnosis of CRPC and AA treatment failure. PSA progression was defined according to the Prostate Cancer Working Group second publication (PCWG3) criteria (Scher et al., <xref ref-type="bibr" rid="B16">2016</xref>). Although bone scans and clinical evaluation were performed in every patient, we still excluded both as monitoring end-point factors.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>The differences between continuous values were analyzed by Mann-Whitney U and Fisher&#x00027;s exact test <italic>t</italic>-test for continuous variables. Chi-square test was used for categorical variables. The progression free survival and overall survival curves were plotted by the Kaplan&#x02013;Meier method. Univariate and multivariate Cox hazard regression was used to estimate the hazard ratio (HR) and 95% confidence interval (CI) for association between variables and progression-free and overall survival. All the statistical analyses were performed using SAS software version 9.2 (SAS Institute, Inc., Cary, NC, USA).</p>
</sec>
</sec>
<sec id="s3">
<title>Result</title>
<p>Twenty-three patients (47.9%, 23/48) met the criteria of effective deferred CAB. Table <xref ref-type="table" rid="T1">1</xref> illustrated the basic characteristics of the effective and ineffective deferred CAB groups. Among total 48 patients, 24 (50%) reached a PSA decline more than 50%. There were no significant differences in diagnosis age, start of ADT age, AA treatment age, percentage of previous radical prostatectomy, or therapeutic radiation therapy, pre-chemotherapy CRPC duration, chemotherapy cycles, chemotherapy duration, 1st line ADT duration, CRPC PSA and pre-AA PSA between two groups. The lowest PSA after AA, the percentage of PSA progression and the percentage of patient death were significantly lower in the effective deferred CAB group. The median follow-up duration among 48 patients was 17 months and it was significantly longer in the effective deferred CAB group. Among total 48 patients, the median progression-free survival was 4.4 months and the median overall survival was 24.3 months (Figure <xref ref-type="fig" rid="F2">2</xref>). Between two groups, the median progression-free survival and overall survival were significantly longer in the effective deferred CAB group than in the ineffective group (24.3 vs. 2.7 months; not reach median vs. 18.9 months, respectively, Figures <xref ref-type="fig" rid="F3">3</xref>, <xref ref-type="fig" rid="F4">4</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Basic characteristics of deferred CAB effective and ineffective.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Total (<italic>n</italic> &#x0003D; 48)</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>deferred CAB</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
<tr>
<th/>
<th/>
<th valign="top" align="center"><bold>Non-effective (<italic>n</italic> &#x0003D; 25)</bold></th>
<th valign="top" align="center"><bold>Effective (<italic>n</italic> &#x0003D; 23)</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Diagnosis Age (years)</td>
<td valign="top" align="center">65 (60.3&#x02013;72.8)</td>
<td valign="top" align="center">65 (60.5&#x02013;75)</td>
<td valign="top" align="center">64 (60&#x02013;72)</td>
<td valign="top" align="center">0.542</td>
</tr>
<tr>
<td valign="top" align="left">AA Age (years)</td>
<td valign="top" align="center">71.5 (64&#x02013;79)</td>
<td valign="top" align="center">72 (64&#x02013;79)</td>
<td valign="top" align="center">69 (64&#x02013;79)</td>
<td valign="top" align="center">0.942</td>
</tr>
<tr>
<td valign="top" align="left">Initial PSA (<italic>n</italic> &#x0003D; 22 vs. 19)</td>
<td valign="top" align="center">198.9 (32&#x02013;446)</td>
<td valign="top" align="center">68.9 (30&#x02013;610.5)</td>
<td valign="top" align="center">293 (101&#x02013;430)</td>
<td valign="top" align="center">0.308</td>
</tr>
<tr>
<td valign="top" align="left">Start ADT age (years)</td>
<td valign="top" align="center">66 (61.3&#x02013;73)</td>
<td valign="top" align="center">66 (60.5&#x02013;75)</td>
<td valign="top" align="center">65 (62&#x02013;73)</td>
<td valign="top" align="center">0.664</td>
</tr>
<tr>
<td valign="top" align="left">Pre-chemo CRPC duration (month)</td>
<td valign="top" align="center">4.9 (1.6&#x02013;11.8)</td>
<td valign="top" align="center">4.2 (1.8&#x02013;6.9)</td>
<td valign="top" align="center">6.5 (1.6&#x02013;17.1)</td>
<td valign="top" align="center">0.146</td>
</tr>
<tr>
<td valign="top" align="left">Chemo duration (month)</td>
<td valign="top" align="center">17.8 (8.6&#x02013;31.9)</td>
<td valign="top" align="center">17.6 (8.1&#x02013;29.7)</td>
<td valign="top" align="center">18.8 (10.7&#x02013;32.1)</td>
<td valign="top" align="center">0.718</td>
</tr>
<tr>
<td valign="top" align="left">1st ADT duration (month)</td>
<td valign="top" align="center">21.4 (11.7&#x02013;39.7)</td>
<td valign="top" align="center">18.7 (9.1&#x02013;31.4)</td>
<td valign="top" align="center">31.2 (15.6&#x02013;48.2)</td>
<td valign="top" align="center">0.157</td>
</tr>
<tr>
<td valign="top" align="left">Chemo cycle</td>
<td valign="top" align="center">7 (3.1&#x02013;15.5)</td>
<td valign="top" align="center">7 (3.2&#x02013;12)</td>
<td valign="top" align="center">7 (3&#x02013;18)</td>
<td valign="top" align="center">0.740</td>
</tr>
<tr>
<td valign="top" align="left">Pre-chemo PSA</td>
<td valign="top" align="center">17.0 (5.8&#x02013;49.5)</td>
<td valign="top" align="center">20.3 (7.2&#x02013;71)</td>
<td valign="top" align="center">12.5 (4&#x02013;36.1)</td>
<td valign="top" align="center">0.183</td>
</tr>
<tr>
<td valign="top" align="left">CRPC PSA</td>
<td valign="top" align="center">4.6 (2.7&#x02013;10.2)</td>
<td valign="top" align="center">5.1 (2.7&#x02013;14.3)</td>
<td valign="top" align="center">3.5 (2.7&#x02013;9.4)</td>
<td valign="top" align="center">0.613</td>
</tr>
<tr>
<td valign="top" align="left">Pre-AA PSA</td>
<td valign="top" align="center">42.7 (18.9&#x02013;167.8)</td>
<td valign="top" align="center">138 (16.6&#x02013;619)</td>
<td valign="top" align="center">34.7 (20.8&#x02013;96)</td>
<td valign="top" align="center">0.071</td>
</tr>
<tr>
<td valign="top" align="left">Best PSA after AA</td>
<td valign="top" align="center">17.6 (4.4&#x02013;360.5)</td>
<td valign="top" align="center">104 (18.3&#x02013;672)</td>
<td valign="top" align="center">4.8 (0.2&#x02013;16.1)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Progression disease</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.002<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">14 (29.2%)</td>
<td valign="top" align="center">2 (8.0%)</td>
<td valign="top" align="center">12 (52.2%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">34 (70.8%)</td>
<td valign="top" align="center">23 (92.0%)</td>
<td valign="top" align="center">11 (47.8%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Total follow-up period (month)</td>
<td valign="top" align="center">17.0 (6.2&#x02013;22.9)</td>
<td valign="top" align="center">8.0 (4.3&#x02013;18.1)</td>
<td valign="top" align="center">18.6 (16.8&#x02013;25.7)</td>
<td valign="top" align="center">0.002<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Survive</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.017<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Alive</td>
<td valign="top" align="center">28 (58.3%)</td>
<td valign="top" align="center">10 (40.0%)</td>
<td valign="top" align="center">18 (78.3%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Death</td>
<td valign="top" align="center">20 (41.7%)</td>
<td valign="top" align="center">15 (60.0%)</td>
<td valign="top" align="center">5 (21.7%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">AA treatment effectiveness</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Ineffective</td>
<td valign="top" align="center">24 (50.0%)</td>
<td valign="top" align="center">21 (84.0%)</td>
<td valign="top" align="center">3 (13.0%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Effective</td>
<td valign="top" align="center">24 (50.0%)</td>
<td valign="top" align="center">4 (16.0%)</td>
<td valign="top" align="center">20 (87.0%)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Chi-square test. Mann-Whitney test.</italic></p>
<fn id="TN1"><label>&#x0002A;</label><p><italic>p &#x0003C; 0.05,</italic></p></fn>
<fn id="TN2"><label>&#x0002A;&#x0002A;</label><p><italic>p &#x0003C; 0.01</italic>.</p></fn>
<p><italic>Continuous data were expressed median and IQR</italic>.</p>
<p><italic>Categorical data were expressed number and percentage</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Progression-free survival <bold>(A)</bold> and overall survival <bold>(B)</bold> in total 48 patients.</p></caption>
<graphic xlink:href="fphar-08-00836-g0002.tif"/>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Progression-free survival comparison between ineffective and effective deferred CAB groups. &#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.01.</p></caption>
<graphic xlink:href="fphar-08-00836-g0003.tif"/>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Overall survival comparison between ineffective and effective deferred CAB groups. &#x0002A;&#x0002A;<italic>p</italic> &#x0003C; 0.01.</p></caption>
<graphic xlink:href="fphar-08-00836-g0004.tif"/>
</fig>
<p>There were 43 patients (89.6%) receiving bicalutamide 50 mg per day as deferred CAB therapy. Cyproterone was applied in 11 patients (22.9%), diethylstilbestrol in 9 (18.8%), and ketoconazole in 2 (4.2%). There were 15 (31.3%) patients having at least 2 anti-androgen treatments.</p>
<p>In univariate Cox regression analysis, effective deferred CAB and first-line ADT duration showed positive association to better progression free survival; pre-AA PSA showed a negative association to longer progression-free survival. After multivariate adjustment, only effective deferred CAB reached a statistical significance with association with PSA progression-free survival after AA treatment (HR 0.29, 95% CI 0.12&#x02013;0.67, <italic>p</italic> &#x0003D; 0.004) (Table <xref ref-type="table" rid="T2">2</xref>). In the analysis of overall survival, both effective deferred CAB and 1st line ADT duration reached the statistical significance (HR &#x0003D; 0.24, 95% CI 0.07&#x02013;0.81, <italic>p</italic> &#x0003D; 0.022; HR 0.95, 95% CI 0.91&#x02013;0.99, <italic>p</italic> &#x0003D; 0.023, respectively) (Table <xref ref-type="table" rid="T3">3</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Predictive variables of progression-free survival.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Univariate analysis</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Multivariate analysis</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>HR</bold></th>
<th valign="top" align="center"><bold>95%CI</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
<th valign="top" align="center"><bold>HR</bold></th>
<th valign="top" align="center"><bold>95%CI</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Deferred CAB</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Ineffective</td>
<td/>
<td valign="top" align="center">ref.</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Effective</td>
<td valign="top" align="center">0.18</td>
<td valign="top" align="center">(0.08&#x02013;0.39)</td>
<td valign="top" align="center">&#x0003C;0.001<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.29</td>
<td valign="top" align="center">(0.12&#x02013;0.67)</td>
<td valign="top" align="center">0.004<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Diagnosis Age</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.96&#x02013;1.04)</td>
<td valign="top" align="center">0.939</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">AA Age</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">(0.95&#x02013;1.02)</td>
<td valign="top" align="center">0.493</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Initial PSA</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(1.00&#x02013;1.00)</td>
<td valign="top" align="center">0.578</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Start ADT age</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.96&#x02013;1.04)</td>
<td valign="top" align="center">0.931</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Chemo duration (month)</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">(0.97&#x02013;1.01)</td>
<td valign="top" align="center">0.348</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">1st ADT duration (month)</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">(0.96&#x02013;0.997)</td>
<td valign="top" align="center">0.025<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">(0.96&#x02013;1.00)</td>
<td valign="top" align="center">0.131</td>
</tr>
<tr>
<td valign="top" align="left">Chemo cycle</td>
<td valign="top" align="center">0.99</td>
<td valign="top" align="center">(0.95&#x02013;1.04)</td>
<td valign="top" align="center">0.800</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pre-chemo PSA</td>
<td valign="top" align="center">1.001</td>
<td valign="top" align="center">(0.9989&#x02013;1.003)</td>
<td valign="top" align="center">0.321</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">CRPC PSA</td>
<td valign="top" align="center">1.003</td>
<td valign="top" align="center">(0.997&#x02013;1.009)</td>
<td valign="top" align="center">0.352</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pre-AA PSA</td>
<td valign="top" align="center">1.001</td>
<td valign="top" align="center">(1.000&#x02013;1.002)</td>
<td valign="top" align="center">0.002<xref ref-type="table-fn" rid="TN4"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(1.00&#x02013;1.00)</td>
<td valign="top" align="center">0.226</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Cox regression. HR, Hazard Ratio. Adjusted for Deferred CAB, 1st ADT duration (month) and Pre-AA PSA.</italic></p>
<fn id="TN3">
<label>&#x0002A;</label><p><italic>p &#x0003C; 0.05,</italic></p></fn>
<fn id="TN4">
<label>&#x0002A;&#x0002A;</label><p><italic>p &#x0003C; 0.01</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Predictive variables of overall survival.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Univariate analysis</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Multivariate analysis</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>HR</bold></th>
<th valign="top" align="center"><bold>95%CI</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
<th valign="top" align="center"><bold>HR</bold></th>
<th valign="top" align="center"><bold>95%CI</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Deferred CAB</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Ineffective</td>
<td/>
<td valign="top" align="center">ref.</td>
<td/>
<td/>
<td valign="top" align="center">ref.</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;Effective</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">(0.06&#x02013;0.52)</td>
<td valign="top" align="center">0.002<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">(0.07&#x02013;0.81)</td>
<td valign="top" align="center">0.022<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Diagnosis Age</td>
<td valign="top" align="center">1.07</td>
<td valign="top" align="center">(1.01&#x02013;1.14)</td>
<td valign="top" align="center">0.014</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">AA Age</td>
<td valign="top" align="center">1.04</td>
<td valign="top" align="center">(0.98&#x02013;1.10)</td>
<td valign="top" align="center">0.193</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Initial PSA</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(1.00&#x02013;1.00)</td>
<td valign="top" align="center">0.867</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Start ADT age</td>
<td valign="top" align="center">1.07</td>
<td valign="top" align="center">(1.01&#x02013;1.14)</td>
<td valign="top" align="center">0.023<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.06</td>
<td valign="top" align="center">(0.99&#x02013;1.14)</td>
<td valign="top" align="center">0.115</td>
</tr>
<tr>
<td valign="top" align="left">Chemo duration (month)</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">(0.95&#x02013;1.02)</td>
<td valign="top" align="center">0.284</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">1st ADT duration (month)</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">(0.92&#x02013;0.99)</td>
<td valign="top" align="center">0.006<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">(0.91&#x02013;0.99)</td>
<td valign="top" align="center">0.023<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Chemo cycle</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">(0.89&#x02013;1.02)</td>
<td valign="top" align="center">0.198</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pre-chemo PSA</td>
<td valign="top" align="center">1.005</td>
<td valign="top" align="center">(1.002&#x02013;1.007)</td>
<td valign="top" align="center">0.001<xref ref-type="table-fn" rid="TN6"><sup>&#x0002A;&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(1.00&#x02013;1.01)</td>
<td valign="top" align="center">0.823</td>
</tr>
<tr>
<td valign="top" align="left">CRPC PSA</td>
<td valign="top" align="center">1.007</td>
<td valign="top" align="center">(1.001&#x02013;1.013)</td>
<td valign="top" align="center">0.024<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.99&#x02013;1.01)</td>
<td valign="top" align="center">0.677</td>
</tr>
<tr>
<td valign="top" align="left">Pre-AA PSA</td>
<td valign="top" align="center">1.001</td>
<td valign="top" align="center">(1.0002&#x02013;1.002)</td>
<td valign="top" align="center">0.021<xref ref-type="table-fn" rid="TN5"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(1.00&#x02013;1.00)</td>
<td valign="top" align="center">0.366</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Cox regression. HR, Hazard Ratio. Adjusted for Deferred CAB, Start ADT age, 1<sup>st</sup> ADT duration (month), Pre-chemo PSA, CRPC PSA and Pre-AA PSA.</italic></p>
<fn id="TN5">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05,</italic></p></fn>
<fn id="TN6">
<label>&#x0002A;&#x0002A;</label>
<p><italic>p &#x0003C; 0.01</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Our study was the first to identify the association between hormone manipulation after CRPC and AA treatment efficacy. This finding also implicated the possible role of conventional anti-androgen regimens in the current sequential treatments for prostate cancer.</p>
<p>Chi et al. reported a cumulative scoring system with six independent factors including serum lactate dehydrogenase (LDH), Eastern Cooperative Oncology Group Performance Status (ECOG PS), liver metastases, serum albumin, serum alkaline phosphatase (ALP) and first line ADT duration which can predict AA treatment efficacy (Chi et al., <xref ref-type="bibr" rid="B2">2016</xref>). Their results implicated effectiveness of prior androgen receptor (AR) targeting therapy can indicate subsequent second line AR targeting treatment efficacy because the sequential treatments were both focusing on AR. Our previous data also showed similar AR targeting prediction effect (Li et al., <xref ref-type="bibr" rid="B9">2017</xref>). On the other hand, Flaig et al. reported a reverse proof of the AR targeting. Their prospective trial recruited suboptimal PSA response patients in the 1st line ADT and only 13% PSA response rate was made after AA treatment (Flaig et al., <xref ref-type="bibr" rid="B5">2017</xref>). In this study, we not only echoed our previous results, but also a new association between effective add-on anti-androgens after CRPC and the efficacy of subsequent second line anti-androgen therapy.</p>
<p>Kijima et al. revealed a predicting role using bicalutamide after CRPC in the subsequent AR targeting therapy and chemotherapy (Kijima et al., <xref ref-type="bibr" rid="B8">2012</xref>). Their findings indicated the short period between CRPC and chemotherapy may contain a predicting model which guided clinicians to go AR targeting therapy or not. Their hypothesis came from many effective clinical reports using deferred CAB. Although the genetic variation after CRPC had been identified for more than 2 decades, in this new treatment bursting era, we still need more clinical observations from the patients to find out a reasonable treatment strategy.</p>
<p>In our study, bicalutamide was the most common used anti-androgen regimen during deferred CAB. Although 31.3% patients received at least 2 anti-androgens after CRPC, the overall median treatment duration was only 4.9 months. We think this was because of the clinician-patients PSA anxiety during treatment shifting in order not to compromise standard treatments. In most of time, clinicians would rather shift to next line chemotherapy once frequent PSA survey showed elevating.</p>
<p>Our overall progression-free survival was only 4.4 months which was shorted than 8.5 months in the COU-AA-301 trial (Fizazi et al., <xref ref-type="bibr" rid="B4">2012</xref>). The median overall survival was 24.3 months and the PSA response rate was 50% which showed better in indirect comparison with the previous trial. These variant results may come from our retrospective study design and small study numbers.</p>
<p>Currently, the EAU guideline had no recommendation of the conventional anti-androgen regimens use in the sequential treatment of metastatic prostate cancer except combination with LH-RH agonists in the beginning to compress the testosterone surge (Cornford et al., <xref ref-type="bibr" rid="B3">2017</xref>). From the results of our study, the applications of these conventional anti-androgens seemed to be directed to a new way. However, we still need more prospective data to prove this hypothesis.</p>
<p>There were still several limitations in this retrospective study. First, as a major tool to measure progression, the PSA check-up schedules were not well controlled due to the retrospective setting. Second, it is now considered PCWG3 consensus as a recommended tool to evaluate CRPC studies which was not applied well in our real world practice. Third, the anti-androgens used in the present study were too diverse to show an identical treatment effect. Fourth, our sample size was too small and a lot of original data were excluded which may lead to low statistical power and selection bias.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>Our data showed a positive association between effectiveness of deferred CAB after CRPC and subsequent AA treatment efficacy after docetaxel. This pre-AA treatment prognostic marker could help clinicians in patient planning and provided conventional anti-androgens a new application direction.</p>
</sec>
<sec id="s6">
<title>Author contributions</title>
<p>Study design: J-RL, C-HC, Y-CO. Data collecting: K-YC, S-SW, C-KY, C-SC, H-CH, C-FH, C-RY, C-CC, S-CW, C-YL. Data analysis: J-RL, C-YH. Manuscript writing: J-RL. Modification: C-LC, Y-CO.</p>
<sec>
<title>Conflict of interest statement</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
</sec>
</body>
<back>
<ack><p>We would like to thank the Biostatistics Task Force of Taichung Veterans General Hospital for their assistance with the statistical analyses and Miss Chiang of the Prostate Disease Center in Taichung Veterans General Hospital for the patient follow-up assistance.</p>
</ack>
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