Literature DB >> 31769243

Impact of Cerebrovascular Disease on Survival Benefits from Local Treatment in Patients with De Novo Metastatic Hormone-Sensitive Prostate Cancer.

Tae Jin Kim1, Young Dong Yu1, Dong Soo Park1, Koon Ho Rha2, Sung Joon Hong2, Kang Su Cho3, Byung Ha Chung3, Kyo Chul Koo4.   

Abstract

PURPOSE: Local treatment has become a treatment option for patients with de novo metastatic hormone-sensitive prostate cancer (mHSPC). Subgroup analyses based on a history of cerebrovascular disease (CVD) were performed to evaluate the impact thereof on overall survival (OS) after local treatment.
MATERIALS AND METHODS: A retrospective analysis was performed for 879 patients with de novo mHSPC between August 2003 and November 2016. Patients were stratified according to prior CVD history and the type of initial treatment: androgen-deprivation therapy (ADT) alone versus local treatment consisting of radical prostatectomy (RP) or radiation therapy (RT) with ADT, with or without metastasis-directed therapy. The primary outcome was OS assessed by Kaplan-Meier analysis and Cox-regression models.
RESULTS: Of 879 patients, 660 (75.1%) men underwent ADT alone, and 219 (24.9%) men underwent RP or RT with ADT, with or without metastasis-directed therapy. The median follow-up was 38 months. Multivariable analysis showed CVD history to be associated with a higher risk of overall mortality (p=0.001). In the overall cohort and in patients without a history of CVD, patients who underwent local treatment exhibited higher OS than men who received ADT alone (all p<0.001). However, the survival benefit conferred by local treatment was not seen in patients with a history of CVD (p=0.324). OS was comparable between patients who received RP and RT (p=0.521).
CONCLUSION: Local treatment with or without metastasis-directed therapy may provide OS advantages for mHSPC patients without a history of CVD. Further prospective studies are needed to address these important concerns. © Copyright: Yonsei University College of Medicine 2019.

Entities:  

Keywords:  Cerebrovascular disorders; neoplasm metastasis; prostatic neoplasms; survival

Mesh:

Substances:

Year:  2019        PMID: 31769243      PMCID: PMC6881707          DOI: 10.3349/ymj.2019.60.12.1129

Source DB:  PubMed          Journal:  Yonsei Med J        ISSN: 0513-5796            Impact factor:   2.759


INTRODUCTION

Advances in imaging techniques have led to the recognition of a transitional state of prostate cancer (PCa) in which the disease has limited metastasis beyond the prostate. In 1995, Hellman and Weichselbaum first identified and termed this entity as oligometastasis.1 Uppal, et al.2 suggested that metastatic disease between oligometastatic and polymetastatic patients have a separate regulation process, suggesting that the diseases mentioned above are distinct entities rather than different points along a development continuum. Other researchers indicated that definitive directed treatments for PCa with limited metastases may confer survival benefits for a select population.3 Androgen deprivation therapy (ADT) remains a cornerstone of systemic therapy through which to delay disease progression and to alleviate cancer-related symptoms in patients with metastatic hormone-sensitive prostate cancer (mHSPC).4 Many have regarded ADT as the treatment of choice for this population; however, recent evidence-based guidelines recommend concurrent aggressive treatment options, including local therapy or upfront chemotherapy.5 This recommendation is based on emerging data that suggest treatments targeted at the primary tumor and metastatic lesions in patients with limited metastases may prevent or delay the need for palliative treatments and confer survival benefits.6 The risks of cerebrovascular disease (CVD) and PCa increase with age, and 16% of patients with ischemic stroke have been found to harbor PCa.7 While an association between PCa and CVD has not been elucidated, cancers have been shown to be associated with an increased risk of CVD through various biological mechanisms, including direct tumor effects or coagulation disorders.89 Meanwhile, treatment decisions for PCa should be made based on a patient's comorbidities and functional status, which can affect overall survival (OS). Therefore, the risk of mortality from mHSPC and its treatment should be weighed carefully against the risk of mortality from existing significant comorbidities, such as CVD or cardiovascular disease, when making treatment decisions.10 Multiple comorbidities are frequently noted at the time of biopsy-proven mHSPC. Unfortunately, there is no consensus on which subgroup of patients for whom local treatment of the primary tumor may confer a survival benefit. The primary endpoint of this study was the prognostic value of local treatment of primary tumors on OS outcomes in patients with de novo mHSPC. The secondary outcome was the confounding effect of comorbidities, such as CVD, at the time of mHSPC diagnosis on the prognostic impact of local treatment.

MATERIALS AND METHODS

Study population and data collection

Clinicopathological data for 1017 consecutive patients with newly diagnosed mHSPC between August 2003 and November 2016 were retrospectively collected from two institutions, Severance Hospital and Gangnam Severance Hospital (Yonsei University Health System). After stratifying patients by a history of CVD, baseline characteristics, including age, body mass index, prostate-specific antigen (PSA) level, TNM stage, Gleason score, Eastern Cooperative Oncology Group performance status, site of metastasis, preexisting medical conditions, such as hypertension and diabetes mellitus, and treatment types were reviewed. CVD was defined as previous radiological evidence of infarction on computed tomography brain scan identified by corresponding focal neurological deficit. Patients were excluded from the analysis if they had incomplete clinical data (n=56), were lost during follow up (n=42), or had an unknown cause of death (n=40). In result, 879 (86.4%) patients were included in the final analysis. Patient survival and causes of death were investigated using the National Cancer Registry Database or institutional electronic medical records. The OS interval was defined as the time interval from PCa diagnosis to the date of all-cause death. Cancer- specific survival interval was defined as the time interval from PCa diagnosis to the date of death due to PCa. This retrospective study was approved by the Gangnam Severance Hospital Institutional Ethics Committee (2017-0186-001), which waived the requirement for informed consent. All study procedures complied with the principles of the 1946 Declaration of Helsinki and its 2008 update.

Treatments administered

Decisions on the type of initial treatment were determined based on physician discretion and patient preference. All patients received long-term ADT with or without local treatment [radical prostatectomy (RP) or radiation therapy (RT)]. RP was performed by a retropubic or robotic approach, with the extent of pelvic lymph node dissection based on risk category. RT consisted of intensity-modulated external beam RT, with a median RT dose of 7000 cGy (interquartile range: 7000–7000). Metastasis-directed local treatments, including RT and/or metastasectomy, were offered for patients with symptomatic disease or those with a limited metastatic burden. The diagnosis of castration-resistant PCa (CRPC) was based on consecutive rises in serum PSA levels, new symptom development, or radiological progression despite a castrate serum testosterone level <50 ng/dL during ADT. Systemic treatments targeted against CRPC were performed according to contemporary guidelines.

Statistical analyses

The study groups were compared using the two-sided Mann–Whitney U-test for the analysis of continuous variables and the chi-square test for the analysis of categorical variables. Variables considered potential predictors for multivariate modeling were selected by univariate analyses using the Cox proportional hazards regression model. To compare the OS outcomes of each patient group, Kaplan-Meier survival analysis was performed according to prior CVD history and the type initial treatment (ADT alone vs. local treatment). All statistical analyses were performed using IBM SPSS software (version 21.0; IBM Corporation, Armonk, NY, USA). Differences with a p value<0.05 were considered statistically significant.

RESULTS

Baseline characteristics

Baseline features of the patients included in the analysis, stratified by prior CVD history and the type initial treatment, are described in Table 1. Of 879 patients, 660 (75.1%) underwent ADT alone, 90 (10.2%) underwent RT with ADT with or without metastasis- directed therapy, and 129 (14.7%) underwent RP with ADT with or without metastasis-directed therapy.
Table 1

Clinicopathological Characteristics of Patients with Metastatic Prostate Cancer Stratified by Cerebrovascular Disease History and Initial Treatment Category

Overall (n=879)No CVD history (n=802)CVD history (n=77)
ADT alone (n=615)Local treatment (n=187)p valueADT alone (n=45)Local treatment (n=32)p value
Age66.5 (61.0–71.8)70.0 (65.0–76.0)67.0 (62.0–73.0)<0.00174.0 (69.0–78.8)68.0 (63.3–72.8)0.001
Body mass index (kg/m2)23.5 (21.5–25.2)23.7 (21.8–25.6)23.9 (21.8–25.5)0.29323.8 (22.2–26.3)23.6 (21.4–25.6)0.525
PSA (ng/dL)69.2 (15.0–182.0)123 (55.8–466.1)37.6 (14.1–142.8)0.004123.7 (35.0–396.3)63.2 (17.3–261.3)0.359
Hypertension299 (34.0)201 (32.7)64 (34.2)0.75722 (48.9)11 (34.4)0.516
Diabetes mellitus151 (17.2)104 (16.9)27 (14.4)0.56513 (28.9)5 (15.6)0.485
Liver cirrhosis14 (1.6)9 (1.5)2 (1.1)0.5452 (4.4)1 (3.1)0.468
T stage0.246
 ≤T2124 (14.1)85 (13.8)24 (12.8)12 (26.7)4 (12.5)
 ≥T3755 (85.9)530 (86.2)163 (87.2)33 (73.3)28 (87.5)
N stage0.4950.145
 N0356 (40.5)239 (38.9)78 (41.7)24 (53.3)15 (46.9)
 N1523 (59.5)376 (61.1)109 (58.3)21 (46.7)17 (53.1)
Site of metastasis
 Bone605 (68.8)431 (70.1)123 (65.8)0.15431 (68.9)20 (62.5)0.485
 Visceral35 (4.0)31 (5.0)2 (1.1)0.8642 (4.4)0 (0.0)0.138
 Lymph node423 (48.1)315 (51.2)70 (37.4)0.13224 (53.3)14 (43.8)0.468
Number of metastasis0.5460.588
 ≤5671 (76.3)485 (78.9)129 (69.0)34 (75.6)23 (71.9)
 >5208 (23.7)130 (21.1)58 (31.0)11 (24.4)9 (28.1)
Gleason score0.0510.145
 ≤7174 (19.8)103 (16.7)43 (23.0)18 (40.0)10 (31.2)
 ≥8705 (80.2)512 (83.3)144 (77.0)27 (60.0)22 (68.8)
CCI0.0390.017
 ≤1577 (65.6)429 (69.8)115 (61.5)12 (26.7)21 (65.6)
 ≥2302 (34.4)186 (30.2)72 (38.5)33 (73.3)11 (34.4)
ECOG PS<0.0010.359
 0778 (88.5)568 (92.4)146 (78.1)39 (86.7)25 (78.1)
 ≥1101 (11.5)47 (7.6)41 (21.9)6 (13.3)7 (21.9)

CVD, cerebrovascular disease; ADT, androgen-deprivation therapy; PSA, prostate-specific antigen; CCI, Charlson Comorbidity Index; ECOG PS, Eastern Cooperative Oncology Group performance status.

Data are presented as medians (interquartile range) and numbers (%).

Within all CVD history subgroups, patients who received ADT alone were older and exhibited higher Charlson Comorbidity Index (CCI) values than men who received local treatment. In the subgroup without a history of CVD, patients who received ADT alone had higher serum PSA levels than men who received local treatment. However, the two treatment subgroups were comparable in their distributions of all other classic PCa survival prognosticators. Moreover, there was no significant difference in the number or sites of metastasis between the ADT alone and ADT with local treatment groups (p=0.521, data not presented). Systemic treatments administered following CRPC diagnosis are shown in Table 2. In the subgroup with CVD history, patients who received local treatment were more likely to have received a greater number of docetaxel cycles than men who received ADT alone. However, there were no differences in the proportions of androgen receptor axis-targeted agents, cabazitaxel usage, enrollment in clinical trials, and secondary hormonal manipulations.
Table 2

Systemic Treatments Administered Following Progression to Castration-Resistant Prostate Cancer

Overall (n=879)No CVD history (n=802)CVD history (n=77)
ADT alone (n=615)Local treatment (n=187)p valueADT alone (n=45)Local treatment (n=32)p value
Docetaxel
 N214 (24.3)151 (24.6)34 (18.2)0.15510 (22.2)19 (59.4)0.001
 No. cycles4.0 (2.0–9.0)5.0 (3.0–8.5)3.0 (8.5–12.5)0.4844.0 (2.0–11.5)5.0 (4.0–7.5)0.587
ARAT agent use
 Pre-chemotherapy33 (3.8)23 (3.7)7 (3.7)0.6541 (2.2)2 (6.3)0.456
  Abiraterone12 (1.4)8 (1.3)2 (1.1)0.8190 (0.0)2 (6.3)0.170
  Enzalutamide21 (2.4)15 (2.4)5 (2.7)0.8011 (2.2)0 (0.0)0.912
 Post-chemotherapy101 (11.5)55 (8.9)29 (15.5)0.6445 (11.1)12 (37.5)0.564
  Abiraterone27 (3.1)13 (2.1)9 (4.8)0.1041 (2.2)4 (12.5)0.079
  Enzalutamide74 (8.4)42 (6.8)20 (10.7)0.2074 (8.9)8 (25.0)0.065
Cabazitaxel8 (0.9)6 (1.0)2 (1.1)0.9540 (0.0)0 (0.0)0.556
Clinical trials71 (8.1)59 (9.6)7 (3.7)0.0674 (8.9)1 (3.1)0.312
Secondary hormonal manipulation12 (1.4)8 (1.3)2 (1.1)0.8190 (0.0)2 (6.3)0.089

CVD, cerebrovascular disease; ADT, androgen-deprivation therapy; ARAT, androgen receptor-axis targeted.

Data are presented as medians (interquartile range) and numbers (%).

Survival outcomes

Table 3 and Fig. 1 show the OS outcomes of the overall cohort and the subgroups stratified according to prior CVD history and the type of initial treatment. In the overall group (Fig. 1A) and in patients without a history of CVD (Fig. 1B), men who received local treatment exhibited higher OS than men who received ADT alone (all p<0.001). However, the survival benefit of local treatment was not seen in the subgroup of patients with a history of CVD (p=0.324) (Fig. 1C). OS outcomes were comparable between patients who received RP and RT (p=0.521, data not presented). The leading causes of death were attributable to PCa, followed by second primary malignancy and cardiovascular disease (Table 3).
Table 3

Survival Outcomes in Patients with Metastatic Prostate Cancer Stratified according to Cerebrovascular Disease History and Initial Treatment Category

Overall (n=879)No CVD history (n=8802)CVD history (n=77)
ADT alone (n=615)Local treatment (n=187)p valueADT alone (n=45)Local treatment (n=32)p value
OS, 5-year (%)45.944.468.1<0.00132.139.10.324
No. all-cause deaths (n, %)577 (65.6)446 (72.5)103 (55.1)<0.00132 (71.1)23 (71.9)0.845
Cause of death (n, %)
 PCa493 (56.1)370 (60.2)71 (38.0)<0.00130 (66.7)22 (68.8)0.847
 Second primary malignancy58 (6.6)41 (6.7)15 (8.0)0.4681 (2.2)1 (3.1)0.344
 Cardiovascular disease15 (1.7)10 (1.6)5 (2.7)0.1680 (0.0)0 (0.0)NA
 Cerebrovascular disease4 (0.5)2 (0.3)2 (1.1)0.4530 (0.0)0 (0.0)NA
 Liver cirrhosis3 (0.3)1 (0.2)2 (1.1)0.1350 (0.0)0 (0.0)NA
 Pneumonia6 (0.6)6 (1.0)0 (0.0)0.6420 (0.0)0 (0.0)NA
 Renal disease5 (0.6)3 (0.5)1 (0.5)0.4451 (2.2)0 (0.0)0.264
 Self-harm1 (0.1)1 (0.2)0 (0.0)0.4740 (0.0)0 (0.0)NA
 Other19 (2.2)12 (2.0)7 (3.7)0.3440 (0.0)0 (0.0)NA
Median OS period (mon)38.0 (23.2–64.0)34.0 (10.0–59.3)34.0 (22.0–67.3)0.51230.0 (21.5–45.0)36.0 (24.0–56.0)0.565
Follow-up period (mon)45.0 (26.0–76.0)43.0 (24.0–73.0)53.0 (28.0–75.0)0.65531.5 (20.0–58.5)40.5 (26.3–60.8)0.131

CVD, cerebrovascular disease; ADT, androgen-deprivation therapy; OS, overall survival; PCa, prostate cancer; NA, not available.

Data are presented as numbers (%) and medians (interquartile range).

Fig. 1

Kaplan-Meier curves showing overall survival in patients stratified by a history of cerebrovascular disease (CVD). (A) Overall group, (B) patients without a history of CVD, and (C) patients with a history of CVD. ADT, androgen-deprivation therapy.

Predictors of survival

Univariate and multivariate models of predictors of overall mortality (OM) are shown in Tables 4, 5, and 6. In the overall group and the subgroup without a history of CVD, multivariate analysis showed local treatment to be associated with a lower risk of OM, whereas this was not seen in the subgroup with a history of CVD.
Table 4

Cox Regression Models for Risk Factors associated with Overall Mortality in the Overall Cohort

UnivariateMultivariate
HR95% CIp valueHR95% CIp value
Age1.0121.001–1.0230.0321.0090.995–1.0220.201
Body mass index0.9710.942–1.0010.061
PSA1.0001.000–1.001<0.0011.0001.000–1.0010.046
Hypertension (yes vs. no)0.9490.762–1.1830.643
Diabetes mellitus (yes vs. no)1.0600.808–1.3900.675
Liver cirrhosis (yes vs. no)0.8330.741–1.1450.567
CVD (yes vs. no)1.4151.056–1.8960.0121.7451.258–2.4210.001
T Stage (≥T3 vs. ≤T2)1.3831.072–1.7850.0131.5371.123–2.1020.007
N stage (N1 vs. N0)1.1820.992–1.4090.062
Site of metastasis
 Bone1Reference
 Visceral1.0050.961–1.0510.554
Gleason score (≥8 vs. ≤7)1.7531.364–2.254<0.0011.8011.325–2.447<0.001
Treatment
 ADT alone1Reference
 Local treatment0.6640.540–0.817<0.0010.5810.428–0.788<0.001
CCI (≥2 vs. ≤1)1.0700.895–1.2790.456
ECOG PS (≥1 vs. 0)1.1650.911–1.4910.133

HR, hazards ratio; CI, confidence interval; PSA, prostate-specific antigen; CVD, cerebrovascular disease; ADT, androgen-deprivation therapy; CCI, Charlson comorbidity score; ECOG PS, Eastern Cooperative Oncology Group performance status.

Table 5

Cox Regression Models for Risk Factors associated with Overall Mortality in Patients without a History of Cerebrovascular Disease

UnivariateMultivariate
HR95% CIp valueHR95% CIp value
Age1.0090.997–1.0200.130
Body mass index0.9750.944–1.0070.129
PSA1.0001.000–1.0010.0131.0001.000–1.0010.271
Hypertension (yes vs. no)0.9050.717–1.1420.399
Diabetes mellitus (yes vs. no)1.0010.746–1.3440.992
Liver cirrhosis (yes vs. no)1.0830.908–1.3050.183
T Stage (≥T3 vs. ≤T2)1.3681.044–1.7910.0231.4611.101–1.9390.009
N stage (N1 vs. N0)1.1560.962–1.3900.123
Site of metastasis
 Bone1Reference
 Visceral1.1030.971–1.2250.485
Gleason score (≥8 vs. ≤7)1.7731.356–2.318<0.0011.6351.243–2.151<0.001
Treatment
 ADT alone1Reference
 Local treatment0.6260.499–0.786<0.0010.6300.495–0.800<0.001
CCI (≥2 vs. ≤1)0.9820.811–1.1910.857
ECOG PS (≥1 vs. 0)1.1760.903–1.5310.231

HR, hazards ratio; CI, confidence interval; PSA, prostate-specific antigen; ADT, androgen-deprivation therapy; CCI, Charlson comorbidity score; ECOG PS, Eastern Cooperative Oncology Group performance status.

Table 6

Cox Regression Models for Risk Factors associated with Overall Mortality in Patients with a History of Cerebrovascular Disease

UnivariateMultivariate
HR95% CIp valueHR95% CIp value
Age1.0381.001–1.0750.0441.0260.989–1.0640.174
Body mass index0.9330.842–1.0340.184
PSA1.0001.000–1.0010.0071.0001.000–1.0010.029
Hypertension (yes vs. no)1.4470.723–2.8970.297
Diabetes mellitus (yes vs. no)1.3830.653–2.9280.397
Liver cirrhosis (yes vs. no)1.1060.776–1.4860.329
T Stage (≥T3 vs. ≤T2)1.6990.761–3.7890.196
N stage (N1 vs. N0)1.4680.804–2.6780.211
Site of metastasis
 Bone1Reference
 Visceral0.8310.723–1.4510.468
Gleason score (≥8 vs. ≤7)1.8690.900–3.8840.094
Treatment
 ADT alone1Reference
 Local treatment0.7720.441–1.3600.364
CCI (≥2 vs. ≤1)2.0061.099–3.6630.0232.0241.075–3.9100.029
ECOG PS (≥1 vs. 0)1.1010.547–2.2130.788

HR, hazards ratio; CI, confidence interval; PSA, prostate-specific antigen; ADT, androgen-deprivation therapy; CCI, Charlson comorbidity score; ECOG PS, Eastern Cooperative Oncology Group performance status.

In the overall group, serum PSA level, history of CVD, stage ≥T3, and Gleason score ≥8 were significant prognosticators of OM (Table 4). In the subgroup without a history of CVD, stage ≥T3 and Gleason score ≥8 were associated with a higher risk of OM (Table 5). In the subgroup with a history of CVD, serum PSA level and CCI were associated with a higher risk of OM (Table 6). Univariate and multivariate models of predictors for cancer-specific mortality in the overall group are shown in Table 7. Age, stage ≥T3, Gleason score ≥8, and prior local treatment were significant prognosticators (Table 7).
Table 7

Cox Regression Models for Risk Factors associated with Cancer-Specific Mortality in the Overall Cohort

UnivariateMultivariate
HR95% CIp valueHR95% CIp value
Age1.0201.010–1.031<0.0011.0151.003–1.0270.016
Body mass index0.9640.937–0.9920.0130.9760.946–1.0060.110
PSA1.0001.000–1.001<0.0011.0001.000–1.0010.070
Hypertension (yes vs. no)1.0120.827–1.2390.906
Diabetes mellitus (yes vs. no)1.1710.917–1.4960.205
Liver cirrhosis (yes vs. no)0.7310.539–1.0100.554
CVD (yes vs. no)1.2750.961–1.6910.093
T Stage (≥T3 vs. ≤T2)1.2811.014–1.6180.0381.4171.076–1.8640.013
N stage (N1 vs. N0)1.1090.941–1.3070.216
Site of metastasis
 Bone1Reference
 Visceral1.0930.912–1.3210.564
Gleason score (≥8 vs. ≤7)1.4621.172–1.8240.0011.4371.125–1.8350.004
Treatment
 ADT alone1Reference
 Local treatment0.6350.521–0.774<0.0010.6770.547–0.838<0.001
CCI (≥2 vs. ≤1)1.1800.999–1.3930.051
ECOG PS (≥1 vs. 0)1.0550.832–1.3410.663

HR, hazards ratio; CI, confidence interval; PSA, prostate-specific antigen; CVD, cerebrovascular disease; ADT, androgen-deprivation therapy; CCI, Charlson comorbidity score; ECOG PS, Eastern Cooperative Oncology Group performance status.

DISCUSSION

There has been a paradigm shift in considering local treatments targeted at both the primary tumor and metastatic lesions in patients with mHSPC and limited metastatic burden.6 However, there is no guideline on which subgroup of patients for whom such aggressive treatments may confer a survival benefit. We observed an OS benefit with local treatment of the primary tumor in patients regardless of the metastatic burden. However, the survival benefit with local treatment was not seen in patients with a prior history of CVD. These findings suggest that comorbidities are crucial factors that affect the survival benefit of local treatment in patients with mHSPC. The biological definition of oligometastatic PCa remains debatable, and advances in imaging techniques are shifting the treatment paradigm of this disease entity. Various studies have proposed different definitions regarding the number and sites of metastatic lesions to define oligometastatic PCa based on oncological outcomes.1112 The definition regarding the cut-off number of metastatic lesions is yet controversial, and for now, this disease entity should only be interpreted as a disease state between the presence of intravascular circulating tumor cells and disseminated metastasis.1314 Existing studies regarding oligometastatic PCa exclude patients with underlying comorbidities, such as CVD.1516171819 Our study cohort included patients with initially diagnosed mHSPC regardless of the number of metastatic lesions and comorbidities, and there was no significant difference in metastatic burden between the ADT alone and ADT with local treatment groups. In an attempt to identify a subset of patients who would benefit from local treatment of mHSPC, our study suggests that the number of metastatic lesions may not be the most significant indicator for predicting a survival benefit with local treatment. Our study showed that CVD, followed by Gleason score, was the strongest prognosticator of OS. Several hypotheses can be offered. First, the detrimental effect of CVD on OS may have offset the beneficial effect of local treatment, in addition to well-known prognostic factors, such as Gleason score and tumor stage. CVD is known to be significantly associated with survival, with a 0.15-year loss of life expectancy in the aged population.20 It has been reported that the risk of thromboembolic disease increases as cancer stage increases.21 Babiker, et al.22 showed that the early release of prostasomes originating from PCa cells into the bloodstream evokes coagulation effects resulting in an increased risk of thromboembolism. Brain injury resulting from vascular pathology can also activate the coagulation cascade, causing a state of hypercoagulability with the release of thromboplastin-like factors from the central nervous system.23 In summary, a history of CVD, which indicates pathological hemostatic changes, may contribute to the disease course and OS outcomes. Future studies are warranted to identify the underlying pathophysiology of CVD in the PCa microenvironment. Second, the administration of continuous ADT may exacerbate CVD and its disease course. ADT increases coagulation disorders that are related to a complex interplay of factors, including procoagulant factors released by tumor and/or host blood vessels.22 Hypercoagulability is common in cancer patients, and hence, it is reasonable to consider that ADT serves as an aggravator of CVD and inferior OS outcomes. Our results imply that comorbidities, especially CVD, are potential risk factors to be accounted for when considering local treatments in addition to ADT for patients with mHSPC. The strengths of our study are the inclusion of detailed clinicopathologic data, treatment information, comorbidities, and performance status that were available from each patient. At the same time, some limitations exist. First, due to the observational nature of the study, the results should only be interpreted within the limitation of a retrospective design. Diagnosis and ascertainment of CVD were dependent on chart reviews. While it is likely that there are undiagnosed cases, the use of medical records is a well-established method to consistently identify CVD outcomes within structured data. Second, the heterogeneity of the study cohort and the lack of a standard therapeutic approach, due to the strong patient and physician preference regarding the implementation of specific treatment modalities, were also limitations of this study. Nevertheless, we believe that such bias would be inherent in any retrospective study and may reflect the reality of clinical practice in which the application of sequential therapies for mHSPC is not standardized. Third, in the majority (87.3%) of patients, the presence of metastasis was determined from imaging studies and was not pathologically confirmed. Therefore, a proportion of our cohort might have harbored non-metastatic disease. Fourth, the possibility of unidentified imbalance in baseline patients and tumor characteristics cannot be overlooked, along with the absence of a formal follow-up protocol, which may potentially confound the results of this study. Lastly, while cancer-specific survival may be considered as the most robust survival endpoint, we chose to use OS as the endpoint, since our study population included patients who were relatively older in age and had multiple comorbidities, in which 34% of the patients had CCI values ≥2. Indeed, as OS is affected by competing risks, we considered that OS may reliably reflect the impact of CVD on survival in real-life cancer care. A variety of factors influence outcomes in patient with CVD in the setting of underlying cancer. Local treatment with or without metastasis-directed therapy may provide an OS advantage for de novo mHSPC patients without a history of CVD. While this association requires confirmation in a prospectively designed study, patients with PCa with a prior history of CVD may be offered less aggressive treatment options.
  23 in total

Review 1.  Prothrombotic effects of prostasomes isolated from prostatic cancer cell lines and seminal plasma.

Authors:  Adil A Babiker; Kristina Nilsson Ekdahl; Bo Nilsson; Gunnar Ronquist
Journal:  Semin Thromb Hemost       Date:  2007-02       Impact factor: 4.180

2.  Androgen-deprivation therapy in treatment of prostate cancer and risk of myocardial infarction and stroke: a nationwide Danish population-based cohort study.

Authors:  Christina G Jespersen; Mette Nørgaard; Michael Borre
Journal:  Eur Urol       Date:  2013-02-12       Impact factor: 20.096

3.  Effects of androgen-deprivation therapy on hypercoagulability in prostate cancer patients: A prospective, longitudinal study.

Authors:  Harmanpreet Kaur; D Robert Siemens; Angela Black; Sylvia Robb; Spencer Barr; Charles H Graham; Maha Othman
Journal:  Can Urol Assoc J       Date:  2017 Jan-Feb       Impact factor: 1.862

4.  Prior cancer in patients with ischemic stroke: the Bergen NORSTROKE study.

Authors:  Henriette A Selvik; Lars Thomassen; Nicola Logallo; Halvor Næss
Journal:  J Stroke Cerebrovasc Dis       Date:  2013-09-25       Impact factor: 2.136

5.  Prostate Cancer, Version 2.2019, NCCN Clinical Practice Guidelines in Oncology.

Authors:  James L Mohler; Emmanuel S Antonarakis; Andrew J Armstrong; Anthony V D'Amico; Brian J Davis; Tanya Dorff; James A Eastham; Charles A Enke; Thomas A Farrington; Celestia S Higano; Eric Mark Horwitz; Michael Hurwitz; Joseph E Ippolito; Christopher J Kane; Michael R Kuettel; Joshua M Lang; Jesse McKenney; George Netto; David F Penson; Elizabeth R Plimack; Julio M Pow-Sang; Thomas J Pugh; Sylvia Richey; Mack Roach; Stan Rosenfeld; Edward Schaeffer; Ahmad Shabsigh; Eric J Small; Daniel E Spratt; Sandy Srinivas; Jonathan Tward; Dorothy A Shead; Deborah A Freedman-Cass
Journal:  J Natl Compr Canc Netw       Date:  2019-05-01       Impact factor: 11.908

Review 6.  Treating Patients with Metastatic Castration Resistant Prostate Cancer: A Comprehensive Review of Available Therapies.

Authors:  E David Crawford; Celestia S Higano; Neal D Shore; Maha Hussain; Daniel P Petrylak
Journal:  J Urol       Date:  2015-07-18       Impact factor: 7.450

7.  Long-term results with immediate androgen suppression and external irradiation in patients with locally advanced prostate cancer (an EORTC study): a phase III randomised trial.

Authors:  Michel Bolla; Laurence Collette; Léo Blank; Padraig Warde; Jean Bernard Dubois; René-Olivier Mirimanoff; Guy Storme; Jacques Bernier; Abraham Kuten; Cora Sternberg; Johan Mattelaer; José Lopez Torecilla; J Rafael Pfeffer; Carmel Lino Cutajar; Alfredo Zurlo; Marianne Pierart
Journal:  Lancet       Date:  2002-07-13       Impact factor: 79.321

8.  Laparoscopic adrenalectomy for isolated adrenal metastasis.

Authors:  Vivian E Strong; Michael D'Angelica; Laura Tang; Francesco Prete; Mithat Gönen; Daniel Coit; Karim A Touijer; Yuman Fong; Murray F Brennan
Journal:  Ann Surg Oncol       Date:  2007-07-31       Impact factor: 5.344

9.  Androgen deprivation therapy increases cardiovascular morbidity in men with prostate cancer.

Authors:  Christopher S Saigal; John L Gore; Tracey L Krupski; Janet Hanley; Matthias Schonlau; Mark S Litwin
Journal:  Cancer       Date:  2007-10-01       Impact factor: 6.860

10.  Impact of Early Salvage Androgen Deprivation Therapy in Localized Prostate Cancer after Radical Prostatectomy: A Propensity Score Matched Analysis.

Authors:  Jae Won Park; Won Sik Jang; Dong Hoon Koh; Won Sik Ham; Koon Ho Rha; Sung Joon Hong; Young Deuk Choi
Journal:  Yonsei Med J       Date:  2018-07       Impact factor: 2.759

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1.  Does androgen-deprivation therapy increase the risk of ischemic cardiovascular and cerebrovascular diseases in patients with prostate cancer? A nationwide population-based cohort study.

Authors:  Do Kyung Kim; Hye Sun Lee; Ju-Young Park; Jong Won Kim; Ji Soo Ha; Jae Heon Kim; Won Jae Yang; Kang Su Cho
Journal:  J Cancer Res Clin Oncol       Date:  2020-09-30       Impact factor: 4.553

  1 in total

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