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. 2026 Feb 9;18(4):554. doi: 10.3390/cancers18040554

Epidemiology, Comorbidities and Associated Treatments, Therapeutic Management, and Clinical Outcomes in Patients with Prostate Cancer in Spain (SRealProstate): A Real-World Cohort Study

Angel Borque-Fernando 1,*, Nuria Romero-Laorden 2, Juan Francisco Rodríguez-Moreno 3, Noelia Alfaro-Oliver 4, Ariela Beliera-Kiendl 4, Elena Rebollo-Gómez 5, Ignacio Hernández 5, Jose Rubio-Briones 6
Editor: Benjamin A Rybicki
PMCID: PMC12938519  PMID: 41749808

Simple Summary

Prostate cancer represents the most common cancer among men in Spain, with treatment approaches and outcomes varying markedly by disease stage. Real-world data from 19,224 patients in Spain were analyzed to assess prostate cancer management across disease stages, and to examine its impact on survival and health status. Early-stage disease was most frequently managed with surgery or radiotherapy, whereas advanced stages required more intensive therapies and were associated with a higher rate of comorbidities such as cardiovascular disease. Despite the availability of treatments, patients with advanced prostate cancer continue to experience reduced survival and greater health challenges. These findings underscore the need for improved strategies to enhance patient management across all stages of the disease.

Keywords: prostate cancer, prevalence, patient profile, treatment patterns, mCRPC, mHSPC, nmCRPC

Abstract

Background/Objectives: Prostate cancer (PC) is the most prevalent cancer in men in Spain. Clinical management depends on the stage/tumor response to therapy/therapy availability. Given the limited national data, we analyzed real-world prevalence and management patterns. Methods: This was an observational, retrospective study using electronic medical records from public primary care centers/hospitals in Spain (BIG-PAC® database), between 1 June 2014, and 31 December 2021. Adult PC-diagnosed patients were classified into localized PC with no compromised lymph nodes and no metastasis (N0/M0), locally advanced PC with compromised lymph nodes, no metastasis (N1/M0), metastatic hormone-sensitive PC (mHSPC), non-metastatic castration-resistant PC (nmCRPC), and metastatic castration-resistant PC (mCRPC, categorized by treatment line). Progression across stages was recorded. All analyses were descriptive and exploratory. Results: A total of 19,224 patients met the inclusion criteria. The five-year PC prevalence was 590 cases/100,000 males; localized PC was the most prevalent form of cancer (PC[N0/M0]: 473/100,000; PC[N1/M0]: 78/100,000), followed by mCRPC (16/100,000), mHSPC (14/100,000), and nmCRPC (8/100,000). We further analyzed 5583 patients with progression. Surgery was performed in 61.7% PC (N1/M0), while radiotherapy was used in 24.3%. Taxanes were used in 52.4% of the mHSPC patients. First prescription options for mCRPC L1 and L2 were androgen receptor pathway inhibitors (55.9% and 49.7%); 44.9% of mCRPC L3 and 83.3% of L4+ (≥4 treatment lines) patients used taxanes. Analgesics were common in mHSPC, nmCRPC, and mCRPC patients. Few mHSPC patients died without progression (11.6%); 90.2% and 56.2% of the mCRPC patients received first- and second-line treatments, respectively. During follow-up, 2436 patients died. Cardiovascular comorbidities increased with stage. Conclusions: PC management in Spain varies substantially by disease stage. Advanced disease was associated with higher comorbidity burden and reduced survival in mHSPC and mCRPC patients, despite multiple available treatments.

1. Introduction

Prostate cancer (PC) is the most prevalent cancer among Spanish men [1]. PC was the third leading cause of cancer deaths in men in 2021 in Spain (5889 deaths) and is estimated to be the most frequent new cancer diagnosed in men in 2025, with 32,188 new cases [1,2].

For early localized PC with no compromised lymph nodes and no metastasis (N0/M0), active surveillance and curative treatment strategies (radical prostatectomy, radiotherapy, and brachytherapy) are recommended [3,4]. Androgen deprivation therapy (ADT) with surgical/medical castration is used in advanced PC [3,5]. Treatments are intended to decrease tumor burden or avoid tumor growth. Although most patients’ prostate-specific antigen (PSA) levels decrease after ADT and are classified as hormone-sensitive PC (HSPC), the disease inevitably progresses to the non-curable castration-resistant phenotype (CRPC) [5].

PC may be classified according to the presence of distant metastasis, considered incurable [6]. In metastatic HSPC (mHSPC), ADT in combination with other treatments, such as androgen receptor pathway inhibitors (ARPIs) and systemic chemotherapy, has demonstrated efficacy [7,8]. The combination of ADT + ARPIs is the new standard, improving prognosis with a more favorable tolerability profile; some high-volume cases might be treated by adding chemotherapy to the ADT + ARPIs combination [3].

Metastatic CRPC (mCRPC) has a significantly poor prognosis and survival rate, despite the availability of treatments [3]. Treatment options have expanded in the last few decades, including ARPIs in many first-line settings [9] and radium-223 for bone metastases [10]. More recently, additional therapeutic strategies such as poly (ADP-ribose) polymerase (PARP) inhibitors and radioligand therapies (e.g., lutetium-177 [177Lu]) have further broadened the treatment landscape; however, these therapies were approved in Spain after the end of the study period and were therefore not available for evaluation in the present analysis, with PARP inhibitors obtaining approval only in 2025 [11,12,13,14,15,16,17,18]. Although substantial progress has been made, a consensus on the optimal treatment sequence beyond the second line has yet to be established [19,20].

Although guidelines are frequently updated based on clinical trials, PC is complex and clinically heterogeneous [3], and real-world evidence is required [21,22,23]. This retrospective study is the first linking national statistics with clinical data, calculating the real-world PC prevalence (overall and by stage [localized PC (N0/M0), locally advanced PC with compromised lymph nodes, no metastasis (N1/M0), mHSPC, nmCRPC, and mCRPC]) in Spain using the BIG-PAC® database [24]. BIG-PAC® contains more than 2.4 million electronic medical records (EMR) from users of the Spanish (public) health system. This study describes real-world prevalence, patient characteristics, treatment patterns, and clinical outcomes in adult men with PC in Spain, across five clinically defined stages.

2. Materials and Methods

2.1. Study Design, Data Source, and Population

This observational, retrospective study included adult males with a pathological report compatible with PC. The study period ranged from 1 June 2014 to 31 December 2021. The study design is presented in Figure S1.

The index date was the date of the first PC-positive result within the study period. This index date was subject to change according to the PC stage (as the disease progressed). Patients were followed until death or end of the study. Deaths recorded in the study were all-cause. The baseline period covered the 6 months prior to the index date.

The Research Ethics Committee of the Consorci Sanitari de Terrassa (Terrassa, Spain) approved this study protocol on 14 June 2022 (Code: 02-22-399-075). Patients’ consent to participate was not required.

Patients had to be enrolled in a medical prescription program, with records of daily dose, time interval, treatment duration, ≥2 prescriptions during the follow-up period (post-index date), and ≥2 health records in the computerized system.

Data were obtained from the BIG-PAC® database, covering primary care centers and hospitals across seven Spanish regions (≈2.4 million EMR) [24] and from other associated hospitals within the same health areas. The BIG-PAC® database has been shown to be representative of the Spanish adult population in terms of age, sex, and chronic disease burden in previous studies [25,26]. The database is registered with the European Medicines Agency (EMA) [24] and has been used in more than 40 studies over the last 5 years [27,28,29,30,31,32,33].

2.2. Patient Classification

Five cohorts were defined according to PC stage: localized PC (N0/M0), locally advanced PC (N1/M0), mHSPC, nmCRPC, and mCRPC. mCRPC was further categorized by treatment line (L): mCRPC first, second, third, and more than four lines (L1, L2, L3, and L4+, respectively).

Patients remained in their classification categories until the end of the follow-up period, death, or disease progression throughout any subsequent cohort. Consequently, patients could belong to multiple cohorts if their disease progressed.

For each patient, different key events with their index dates and baseline data were described: first diagnosis, first progression, second progression, etc.

Each treatment modification constituted a new line, except for changes in ADT. Treatment lines were defined based on therapies documented within the available data window. Although patient records were retrospectively reviewed from 1 January 2012, to ensure accurate cohort assignment, information prior to that date was unavailable; therefore, treatment sequences may not capture therapies received before database entry. As a result, L1 treatment for mCRPC reflects the first observed line within the database and may not represent the first lifetime systemic therapy for all patients. Consequently, treatment lines should be interpreted as observed sequences rather than complete lifetime treatment histories.

The algorithm for patients’ classification is shown in Figure 1. The PC N0/M0 stage was defined solely to calculate prevalence and to assess patient progression outcomes.

Figure 1.

Figure 1

Definition for patient classification into study cohorts. (A) Definition of hormonal status (mCRPC patients were defined according to the Sociedad Española de Oncología Médica [SEOM] guidelines [2021] [34], based on the Prostate Cancer Working Group 2 criteria [35], and the European Association of Urology guidelines [2024]) [36]. (B) Steps for identifying patients with PC and their metastatic status from January 2012. 1 is as defined by the Prostate Cancer clinical Trials Working group 2. Biochemical progression included an increase in PSA levels, defined as 2 or more increases of ≥50% in successive determinations, and/or PSA levels > 2 ng/mL; 2 is including bone scan (prostate specific membrane antigen [PSMA] and positron emission tomography [PET]), computed tomography (CT) scan, and magnetic resonance imaging (MRI). ADT, androgen deprivation therapy; CRPC, castration-resistant prostate cancer; ICD-9, International Classification of Diseases Ninth revision; M#, metastasis or no metastasis; N#, compromised or not compromised lymph nodes; mHSPC, metastatic hormone-sensitive prostate cancer; nmCRPC, non-metastatic castration-resistant prostate cancer; PC, prostate cancer; T, tumor; TNM, tumor, regional lymph nodes, and distant metastasis status.

Modifications of treatment combinations implied progression, except for those with buserelin, leuprorelin, goserelin, triptorelin, and degarelix combinations.

Data regarding Gleason scores, tumor, node, and metastasis (TNM) status, and PC diagnosis based on International Classification of Diseases Ninth (ICD-9) or Tenth (ICD-10) revision (ICD-9 code 185 or ICD-10 code 61) [37,38] between 2012 and 2021 were considered to identify patients with a previous PC diagnosis. This approach ensured accurate assignment of patients to the corresponding study cohorts (Steps 1–4, Figure 1). Metastatic status was defined based on radiology tests and secondary tumor diagnoses (Figure 1).

For each stage, a new stage-specific index date was defined; this new index date was the date when the patient first fulfilled the criteria for that stage. Baseline characteristics were assessed in the 6 months preceding this stage-specific index date. Consequently, unique patients could contribute to more than one cohort if their disease progressed.

The denominators reported in stage-specific prevalence, and descriptive, and survival analyses correspond to ‘patient-stages’ (i.e., individuals within a particular stage) rather than unique patients. In contrast, the overall prevalence estimates and the analysis of progression between stages use unique patients as the unit of analysis (Table S1 provides a detailed breakdown). Readers should interpret patient numbers in each stage-specific analysis accordingly.

2.3. Objectives and Variables

The overall 5-year prevalence of PC in Spain, as well as stage-specific prevalence for the five defined categories (PC [N0/M0], PC [N1/M0], mHSPC, nmCRPC, and mCRPC), were estimated. For descriptive purposes, the number of patients alive on 31 December 2021 was reported to characterize the surviving population at the end of follow-up.

Additionally, the following variables were described for each clinical stage from PC (N1/M0) stage to mCRPC L4+ metastatic disease:

  • (1)

    Patients’ characteristics at baseline, including sociodemographic variables (age and body mass index [BMI]), habits (tobacco use and alcohol consumption), clinical variables (comorbidities and Charlson Comorbidity Index) [39], and treatments, including those for lower urinary tract symptoms and others.

  • (2)

    Clinical outcomes by PC clinical stage, including time of follow-up (a variable that describes the length of follow-up within each stage), survival during follow-up and causes of end of follow-up, overall survival (OS) (patients who advance to other stage or who were lost to follow-up were censored).

  • (3)

    Transitions through treatments and clinical parameters at the closest day after stage initiation or 15 days before progression to other stage (PC-related parameters: Gleason score, PSA, serum testosterone, alkaline phosphatase, hemoglobin, creatinine, glucose, and body weight).

  • (4)

    Therapeutic management of PC (i.e., treatments in each stage), and supportive treatments during the study period. In the case of PC (N1/M0), the database does not allow differentiation between surgery performed as part of the diagnostic process (after which a patient is classified as N1/M0) and surgery undertaken with therapeutic intent for a known N1/M0 condition. Therefore, surgical procedures are reported as exposure to surgery without inference about intent. PC treatments and concomitant medications were described according to the Anatomical Therapeutic Chemical (ATC) classification system and ICD-9/ICD-10 codes (Tables S2 and S3). Cardiovascular disease at baseline and during the study period (Table S4) and anemia grade III (hemoglobin < 10 g/dL) during the study period were defined using ICD-10 codes.

2.4. Statistical Analysis

Qualitative variables are presented as absolute and relative (%) frequencies; quantitative variables, as the mean and standard deviation (SD) and the median and 1st and 3rd quartiles (Q1, Q3, or interquartile range [IQR]). The 95% confidence interval (CI) was estimated. Five-year prevalence was defined as the number of men with a recorded diagnosis of PC who were alive at any time during 2014–2019 (numerator), divided by the total number of males alive in Spain during the same period (denominator), and expressed as cases per 100,000 individuals. The prevalence of each clinical stage was calculated as the percentage of all PC patients (the sum of PC [N0/M0], PC [N1/M0], mHSPC, nmCRPC, and mCRPC) on the same date. OS was estimated using the Kaplan–Meier estimator. Patients were censored if they progressed to the next disease stage. This approach was chosen to describe stage-specific survival within each cohort; however, it may underestimate overall mortality in more advanced stages and should be interpreted accordingly. Survival analyses were unadjusted, and no multivariable models were applied. SPSSWIN v.27 was used for all statistical analyses.

3. Results

3.1. Study Patients

Between 1 June 2014 and 31 December 2021, a total of 19,647 adult males were diagnosed with PC, of whom 19,224 met the inclusion criteria (Figure S2).

The five-year prevalence estimates were based on patients alive at any time during the 2014–2019 period: 13,641 localized PC (N0M0) patients, 1282 PC (N1/M0) patients, 244 mHSPC patients, 126 nmCRPC patients, and 307 mCRPC patients (Figure S2). For all subsequent analyses, PC (N0/M0) patients who did not progress (n = 13,641) were excluded.

The patients analyzed for further objectives with advanced PC comprised 5583 unique patients. Of those, 1736 patients were diagnosed initially with PC (N0/M0) and had at least one subsequent progression during follow-up (Table S1). The rest of the patients initiated the study at different stages.

Since we studied patients within stages (and patients may appear in more than one stage), overall, the numbers of patients analyzed in each cohort were 3560 PC (N1/M0) patients, 2062 mHSPC patients, 678 nmCRPC patients, and 2057 mCRPC patients (Table S1). As noted in the Methods, patients who progressed contributed to multiple cohorts with reassigned index dates; therefore, the stage-specific numbers represent patient-stages rather than unique individuals. Table S1 provides a summary of unique patient progression across stages.

3.2. Baseline Characteristics of Patients with Prostate Cancer

Table S1 and Figure S3 summarize the progression of unique patients through different disease stages. Table 1 presents the baseline characteristics of patients in the distinct PC stages 6 months before the index date. Overall, the patients’ characteristics were similar across groups; however, some increased as the disease progressed.

Table 1.

Baseline characteristics of advanced PC patients according to disease stage (PC [N0/M0] cohort is excluded).

PC (N1/M0)
n = 3560
mHSPC
n = 2062
nmCRPC
n = 678
mCRPC L1
n = 2057
mCRPC L2
n = 1043
mCRPC L3
n = 577
mCRPC L4+
n = 281
Sociodemographic characteristics              
Age (years), mean (SD) 70.8 (7.9) 71.8 (7.9) 72.3 (7.4) 73.4 (7.9) 73.3 (7.9) 73.9 (7.7) 74.9 (7.8)
Age (years), ranges, n (%)              
 18–44  1 (0) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0) 0 (0)
 45–54  71 (2.0) 39 (1.9) 4 (0.6) 31 (1.5) 13 (1.2) 3 (0.5) 0 (0)
 55–64  718 (20.2) 352 (17.1) 106 (15.6) 279 (13.6) 153 (14.7) 82 (14.2) 29 (10.3)
 65–74  1713 (48.1) 945 (45.8) 325 (47.9) 891 (43.3) 436 (41.8) 230 (39.9) 115 (40.9)
 75–84 930 (26.1) 647 (31.4) 220 (32.4) 721 (35.1) 369 (35.4) 220 (38.1) 109 (38.8)
 ≥85  127 (3.6) 79 (3.8) 23 (3.4) 135 (6.6) 72 (6.9) 42 (7.3) 28 (10)
BMI (kg/m2), mean (SD) 28.5 (4.4) 28.3 (4.3) 28.3 (4.5) 27.5 (4.2) 25.0 (3.9) 24.0 (3.7) 23.5 (3.7)
Habits, n 2391 144 260 276 276 276 276
 Tobacco use, n (%) 256 (10.7) 18 (12.5) 32 (12.3) 30 (10.9) 30 (10.9) 30 (10.9) 30 (10.9)
 Alcohol consumption, n (%) 94 (3.9) 10 (6.9) 19 (7.3) 11 (4.0) 11 (4.0) 11 (4.0) 11 (4.0)
Associated comorbidities, n (%)              
 Hypertension 2093 (58.8) 1226 (59.5) 397 (58.6) 1217 (59.2) 616 (59.1) 352 (61) 169 (60.1)
 Ischemic heart disease 410 (11.5) 288 (14.0) 82 (12.1) 268 (13.0) 128 (12.3) 72 (12.5) 35 (12.5)
 Congestive heart failure 264 (7.4) 206 (10.0) 65 (9.6) 221 (10.7) 98 (9.4) 48 (8.3) 27 (9.6)
 Peripheral vascular disease 293 (8.2) 216 (10.5) 75 (11.1) 225 (10.9) 98 (9.4) 55 (9.5) 25 (8.9)
 Cerebrovascular disease 288 (8.1) 188 (9.1) 64 (9.4) 212 (10.3) 103 (9.9) 58 (10.1) 33 (11.7)
 Dementia 84 (2.4) 80 (3.9) 28 (4.1) 91 (4.4) 37 (3.5) 25 (4.3) 12 (4.3)
 Depression 270 (7.6) 189 (9.2) 68 (10.0) 212 (10.3) 102 (9.8) 56 (9.7) 24 (8.5)
 Chronic pulmonary disease 447 (12.6) 331 (16.1) 88 (13.0) 334 (16.2) 162 (15.5) 96 (16.6) 50 (17.8)
 Rheumatological disease 194 (5.4) 149 (7.2) 49 (7.2) 166 (8.1) 76 (7.3) 36 (6.2) 18 (6.4)
 Peptic ulcer 212 (6.0) 159 (7.7) 56 (8.3) 173 (8.4) 66 (6.3) 38 (6.6) 17 (6.0)
 Liver disease 221 (6.2) 154 (7.5) 47 (6.9) 163 (7.9) 72 (6.9) 40 (6.9) 18 (6.4)
 Diabetes 927 (26) 605 (29.3) 189 (27.9) 611 (29.7) 297 (28.5) 160 (27.7) 78 (27.8)
 Renal failure 332 (9.3) 222 (10.8) 78 (11.5) 228 (11.1) 107 (10.3) 57 (9.9) 20 (7.1)
 Pulmonary thromboembolism 62 (1.7) 75 (3.6) 21 (3.1) 68 (3.3) 24 (2.3) 10 (1.7) 6 (2.1)
 Deep vein thrombosis 83 (2.3) 80 (3.9) 21 (3.1) 78 (3.8) 30 (2.9) 20 (3.5) 14 (5)
 AIDS 92 (2.6) 59 (2.9) 20 (2.9) 76 (3.7) 29 (2.8) 18 (3.1) 11 (3.9)
General comorbidity (Charlson index), n 3560 2062 678 2057 1043 577 281
Charlson index, mean (SD) 2.1 (1.7) 2.5 (1.8) 2.4 (1.8) 2.6 (1.9) 2.3 (1.7) 2.4 (1.7) 2.4 (1.8)
Charlson index categories, n (%)              
 0 459 (12.9) 180 (8.7) 67 (9.9) 163 (7.9) 101 (9.7) 57 (9.9) 28 (10.0)
 1 1019 (28.6) 518 (25.1) 161 (23.7) 494 (24) 271 (26) 146 (25.3) 71 (25.3)
 ≥2 2082 (58.5) 1364 (66.1) 450 (66.4) 1400 (68.1) 671 (64.3) 374 (64.8) 182 (64.8)
Previous treatments, n 3560 2062 678 2057 1043 577 281
 For LUTS, n (%)              
 Finasteride  70 (2.0) 63 (3.1) 18 (2.7) 72 (3.5) 25 (2.4) 18 (3.1) 11 (3.9)
 Alfuzosin 72 (2.0) 85 (4.1) 20 (2.9) 73 (3.5) 26 (2.5) 15 (2.6) 5 (1.8)
 Tamsulosin 862 (24.2) 522 (25.3) 177 (26.1) 531 (25.8) 261 (25.0) 140 (24.3) 56 (19.9)
 Terazosin 45 (1.3) 60 (2.9) 22 (3.2) 57 (2.8) 29 (2.8) 16 (2.8) 6 (2.1)
 Dutasteride  60 (1.7) 63 (3.1) 29 (4.3) 77 (3.7) 29 (2.8) 20 (3.5) 5 (1.8)
 Other treatments, n (%)              
 Statins  1688 (47.4) 1022 (49.6) 348 (51.3) 1060 (51.5) 548 (52.5) 302 (52.3) 144 (51.2)
 Metformin 627 (17.6) 412 (20.0) 139 (20.5) 408 (19.8) 194 (18.6) 112 (19.4) 56 (19.9)
 Acetylsalicylic acid  969 (27.2) 577 (28) 190 (28.0) 561 (27.3) 263 (25.2) 148 (25.6) 77 (27.4)
 Analgesics 2322 (65.2) 1405 (68.1) 442 (65.2) 1422 (69.1) 743 (71.2) 413 (71.6) 202 (71.9)
 Antiresorptive bone agents 275 (7.7) 441 (21.4) 181 (26.7) 440 (21.4) 225 (21.6) 123 (21.3) 61 (21.7)

Number of patients for all variables unless otherwise indicated. BMI, body mass index; mCRPC, metastatic castration-resistant prostate cancer; mHSPC, metastatic hormone-sensitive prostate cancer; L, treatment line; LUTS, lower urinary tract symptoms; nmCRPC, non-metastatic castration-resistant prostate cancer; PC (N1/M0), prostate cancer (nearby lymph nodes 1/metastasis 0); SD, standard deviation.

3.3. Prevalence of Prostate Cancer

The overall 5-year PC prevalence was 590 cases/100,000 males alive (n = 1,008,708). Most PC cases within the study were PC (N0/M0) (78.3%). PC (N1/M0) comprised 14.2%, whereas the other clinical stages amounted to <4% each (mCRPC was the most frequent of these) (Table 2).

Table 2.

Five-year prevalence of prostate cancer in Spain (2014–2019) and descriptive counts of survivors at the end of follow-up (31 December 2021).

Local PC (N0/M0)
n = 15,377
Locally Advanced PC (N1/M0)
n = 3560
mHSPC
n = 2062
nmCRPC
n = 678
mCRPC
n = 2057
Total PC—Including PC (N0/M0)
n = 19,224
Alive within 2014–2019 (five-year prevalence numerator), n 4775 789 138 83 166 5951
Prevalence over males alive within 2014–2019 , cases/100,000 individuals 473 78 14 8 16 590
Alive on 31 December 2021, n 7070 1282 244 126 307 9029
Proportion of patients diagnosed with PC and alive on 31 December 2021, % 78.3 14.2 2.7 1.4 3.4 100

Total of 1,008,708 males alive within 2014–2019. mCRPC, metastatic castration-resistant prostate cancer. Counts of patients alive on 31 December 2021 are provided for descriptive purposes and do not correspond to the five-year prevalence definition. mHSPC, metastatic hormone-sensitive prostate cancer; nmCRPC, non-metastatic castration-resistant prostate cancer; PC (N0/M0), prostate cancer (nearby lymph nodes 0/metastasis 0); PC (N1/M0), prostate cancer (nearby lymph nodes 1/metastasis 0).

The most prevalent stage was PC (N0/M0), with 473 cases/100,000 males, followed by PC (N1/M0) (78 cases/100,000 males) and mCRPC (16 cases/100,000 males) (Table 2).

3.4. Clinical Outcomes

3.4.1. Overall Survival at Each Stage and Follow-Up

PC (N1/M0) patients displayed a median OS of 4.3 (IQR, 5.0) years, reduced by half in the mHSPC stage and by almost one-third in the nmCRPC stages. Patients in the mCRPC stage had the lowest OS (1.9 [1.3] years) (Table 3, Figure 2).

Table 3.

Follow-up time, cause of end of follow-up, survival in the follow-up period, and OS of each stage of PC.

PC (N1/M0) mHSPC nmCRPC mCRPC (Overall) mCRPC L1 mCRPC L2 mCRPC L3 mCRPC L4+
n (%) 3560 (100) 2062 (100) 678 (100) 2057 (100) 2057 (100) 1043 (100) 577 (100) 281 (100)
Follow-up duration (years)
Mean (SD) 4.3 (2.6) 1.4 (0.7) 1.9 (0.8) 0.9 (0.2) 0.5 (0.2) 0.4 (0.1) 0.4 (0.2) 0.4 (0.2)
Median (IQR) 2.8 (2–7.6) 1 (0.8–2.0) 1.9 (1.2–2.6) 1.1 (0.9–1.4) 0.4 (0.3–0.7) 0.5 (0.4–0.5) 0.4 (0.3–0.4) 0.4 (0.3–0.6)
Survival in the follow-up period, n (%) 3291 (92.4) 1823 (88.4) 593 (87.5) 641 (31.2) 1045 (50.8) 649 (62.2) 338 (58.6) 175 (62.3)
Reasons to end patient’s follow-up n (%)
All-cause death 269 (7.6) 239 (11.6) 85 (12.5) 1416 (68.8)  677 (32.9) 394 (37.8) 239 (41.4) 106 (37.7)
Disease progression 1623 (45.6) 906 (43.9) 245 (36.1) 0 1043 (50.7) 577 (55.3) 281 (48.7) 0 (0)
End of study 1621 (45.5) 819 (39.7) 332 (49.0) 547 (26.6) 318 (15.5) 41 (3.9) 38 (6.6) 150 (53.4)
Loss to follow-up 47 (1.3) 98 (4.8) 16 (2.4) 94 (4.6) 19 (0.9) 31 (3.0) 19 (3.3) 25 (8.9)
OS at each stage (years, median, IQR) 4.3 (5.0) 2.1 (1.3) 3.0 (1.3) 1.9 (1.3) - - - -

Patients were censored upon progression to other stage; OS was calculated for the whole mCRPC period. mCRPC, metastatic castration-resistant prostate cancer; mHSPC, metastatic hormone-sensitive prostate cancer; IQR, interquartile range; L, treatment line; nmCRPC, non-metastatic castration-resistant prostate cancer; PC (N1/M0), prostate cancer (nearby lymph nodes 1/metastasis 0); OS, overall survival; SD, standard deviation.

Figure 2.

Figure 2

Kaplan–Meier curves for OS, censored at disease progression, in (A) PC (N1/M0), (B) mHSPC, (C) nmCRPC, and (D) mCRPC patients. CI, confidence interval; mHSPC, metastatic hormone-sensitive prostate cancer; nmCRPC, non-metastatic castration-resistant prostate cancer; mCRPC, metastatic castration-resistant prostate cancer; PC (N1/M0), prostate cancer with compromised lymph nodes, no metastasis.

The follow-up time was shorter for metastatic than for nmCRPC and PC (N1/M0) patients; most patients in PC (N1/M0), mHSPC, and nmCRPC stages survived (≥88.4%), contrasting with the 31.2% survival among mCRPC patients (Table 3). A total of 2009 patients died, most in the mCRPC stage (68.8%) (Table 3). The transition analysis of patients throughout stages and treatment lines showed a gradually increased proportion of patients dying and a gradually decreased proportion of patients progressing (Figure 3). Accordingly, the follow-up duration decreased as PC progressed. These results, along with the reasons for follow-up discontinuation are presented in Table 3.

Figure 3.

Figure 3

Transitions across the stage cohorts as they progress. Individual patients may appear in more than one cohort. (A) Cohort PC (N0/M0); (B) Cohort PC (N1/M0); (C) Cohort mHSPC; (D) Cohort nmCRPC; (E) mCRPC treatment lines. The lack of “grey flow” in some parts of the diagram represents patients who do not progress or whose study period has ended. mCRPC, metastatic castration-resistant prostate cancer; mCRPC, metastatic castration-resistant prostate cancer; mHSPC, metastatic hormone-sensitive prostate cancer; nmCRPC, non-metastatic castration-resistant prostate cancer; PC (N0/M0), prostate cancer (nearby lymph nodes 0/metastasis 0); PC (N1/M0), prostate cancer (nearby lymph nodes 1/metastasis 0).

Additionally, a subanalysis of mHSPC patients differentiating between metachronous mHSPC and de novo populations was performed (Table S5). In total, 530 mHSPC patients (2.8%) entered the study (unclassified in metachronous or de novo) (Table S1). These and those patients who progressed to mHSPC corresponded to 2062 patients (Tables S1 and S5). De novo mHSPC diagnosis occurred in 12.3% of the overall mHSPC population (Table S5). More metachronous mHSPC patients survived during follow-up than de novo patients in the mHSPC stage (90.8% vs. 71.5%) (Table S5).

3.4.2. Clinical Parameters

All clinical parameters are found in Figure 4. The PSA values, Gleason score, and alkaline phosphatase (except for non-metastatic patients) increased as PC progressed, although to different extents (Figure 4A–C). Regarding blood parameters, hemoglobin and glucose were similar across PC stages (Figure 4E,F); creatinine was higher in the mCRPC patients (Figure 4F). Body weight modestly decreased throughout PC progression (Figure 4H).

Figure 4.

Figure 4

Clinical parameters according to prostate cancer clinical stage. (A) Prostate-specific antigen, (B) Gleason score, (C), alkaline phosphatase (D), serum testosterone, (E) hemoglobin, (F) glucose, (G) creatinine, and (H) body weight. Columns in (B) represent the % of patients according to Gleason scores and prostate cancer stage. Columns in (A,CH) represent the mean. L, line; mCRPC, metastatic castration-resistant prostate cancer; mHSPC, metastatic hormone-sensitive prostate cancer; nmCRPC, non-metastatic castration-resistant prostate cancer; PC (N0/M0), prostate cancer (nearby lymph nodes 0/metastasis 0); PC (N1/M0), prostate cancer (nearby lymph nodes 1/metastasis 0).

3.4.3. Cardiovascular Comorbidities

The cardiovascular comorbidities are detailed in Figure 5. Patients with ischemic heart disease, cerebrovascular disease, and renal failure increased in every PC stage during follow-up compared to baseline; the difference between baseline and follow-up values was 0.4–4.4%. The sharpest difference was found for the mHSPC (Figure 5A), mCRPCL4 (Figure 5B), and mCRPCL2 patients (Figure 5C).

Figure 5.

Figure 5

Proportion of patients with cardiovascular diseases at baseline and at follow-up ((A) Ischemic heart disease, (B) cerebrovascular disease, (C) renal failure, (D) Pulmonary thromboembolism, (E) deep vein thrombosis) and (F) proportion of patients with grade III anemia, according to prostate cancer clinical stage. Hb, hemoglobin; L, line; mHSPC, metastatic hormone-sensitive prostate cancer; nmCRPC, non-metastatic castration-resistant prostate cancer; mCRPC, metastatic castration-resistant prostate cancer; PC (N0/M0), prostate cancer (nearby lymph nodes 0/metastasis 0); PC (N1/M0), prostate cancer (nearby lymph nodes 1/metastasis 0).

Differences were milder regarding pulmonary thromboembolism and deep vein thrombosis. Grade III anemia during follow-up was more frequent in the mCRPCL1, mCRPCL2, and mCRPCL3 patients (Figure 5F).

3.5. Therapeutic Management of PC Patients According to Disease Stage

Overall, PC therapeutic management changed across disease stages (Figure 6A), except for ADT, which was used across all stages (Figure 6A,B). In the PC (N1/M0) patients, ADT was the only systemic therapy used in 97% of cases, with leuprorelin and triptorelin being the most frequently prescribed agents, while local treatments such as surgery and radiotherapy were also commonly administered (Figure 6B).

Figure 6.

Figure 6

Prostate cancer treatments during the study period according to clinical stage. Values of 0 were removed from the labels to contribute to the graphic’s readability. (A) Overall treatment class. (B) Androgen deprivation therapy. (C) Surgery and radiotherapy. (D) Hormonal treatments. (E) Taxanes and radiopharmaceuticals; iPARPs (olaparib, niraparib, rucaparib, and talazoparib) were also recovered, but 0 results were retrieved in all stages. (F) Treatment sequencing from first diagnosis and throughout the first and second prostate cancer progression of study patients. The first diagnosis could be any stage of the disease, and would vary depending on the time of identification. ADT, androgen deprivation therapy; ARPIs, androgen receptor pathway inhibitors; HA, first-generation hormonal treatments; iPARPs, poly ADP ribose polymerase inhibitors; MDR, metastatic directed radiotherapy; mCRPC, metastatic castration-resistant prostate cancer; mHSPC, metastatic hormone-sensitive prostate cancer; nmCRPC, non-metastatic castration-resistant prostate cancer; PC (N0/M0), prostate cancer (nearby lymph nodes 0/metastasis 0); PC (N1/M0), prostate cancer (nearby lymph nodes 1/metastasis 0); TURP, transurethral resection of the prostate.

PC (N1/M0) patients were treated with surgery (63.1%) and radiotherapy (24.3%) (non-mutually exclusive), mainly for primary tumors (Figure 6C). Importantly, PC (N1/M0) surgeries aim (diagnostic/treatment) was undesignable (see Patients and Methods Sections).

Flutamide, nilutamide, and bicalutamide were used at low frequencies and similarly across disease stages, except in mCRPC (Figure 6D). The nmCRPC patients mostly received ARPIs as treatment (66.7%) (Figure 6D).

In the metastatic patients, the preferred treatments were chemotherapy, ARPIs, and radiotherapy (Figure 6C–E); regarding mCRPC, ARPIs were more frequent in L1 (55.9%) and L4+ (76.9%) patients. Of the 281 mCRPC L4+ patients, 83.3% and 14.2% received taxanes and radium-223, respectively.

Moreover, the use of ARPIs (Figure 6D) markedly differed among stages. The PC (N1/M0) patients did not receive ARPIs. The nmCRPC patients received enzalutamide (32.9%) and apalutamide (21.2%), and they were the only ones receiving darolutamide (12.5%). Abiraterone was preferred in the mHSPC patients (21.8%), followed by apalutamide (9.1%) and enzalutamide (5.9%). For the mCRPC patients, abiraterone was preferred in L1 (313%) and L2 (21.1%) patients, whereas enzalutamide was preferentially used in L3 (16.5%) and L4 (40.2%) patients (Figure 6D).

With respect to taxanes, the mHSPC patients only received docetaxel (52.4%), whereas 47.7% and 35.6% of the L4+ patients used cabazitaxel and docetaxel, respectively (Figure 6E). Radium-223 use increased throughout treatment lines (Figure 6E). The sequence of treatments across progressions is shown in Figure 6F. The complete set of data is included in Table S6.

Treatment duration (Table S7) progressively decreased, indicating a progressively faster progression throughout disease stages, and was markedly reduced upon progression to mCRPC. Besides PC treatments, patients received analgesic medications and antiresorptive bone agents (Table S8). mHSPC, nmCRPC, and mCRPC patients used more analgesics than PC (N1/M0) patients, whereas for antiresorptive bone agents, frequencies were higher in metastatic patients compared to PC (N1/M0) and nmCRPC patients.

4. Discussion

Here, we present real-world data from the users of the Spanish public health system with a pathological report compatible with PC between 2014 and 2021. A total of 5583 unique patients with localized or advanced PC were followed, many of whom progressed across disease stages over time. Analyses were conducted at the stage level on the different prevalences, overall survival, management, clinical parameters, and cardiovascular comorbidities. The study was designed as a descriptive, hypothesis-generating analysis. Accordingly, all comparisons across stages and treatment lines are unadjusted and should not be interpreted as causal or as evidence of treatment superiority.

The estimated five-year prevalence of PC in Spain was 590 cases per 100,000 males, consistent with previously reported national estimates [40]. As expected, localized PC (N0/M0) represented the most prevalent stage, followed by PC (N1/M0) and mCRPC. Differences in prevalence estimates across studies likely reflect variations in case definitions and methodological approaches. In the present study, the 5-year prevalence was the number of PC patients divided by the total population of Spain. Another study calculated the mCRPC prevalence as the number of people with a claim of mCRPC diagnosis in a given year, divided by all males in their database in the same year [41]. They found a prevalence of 9 cases/100,000 males in 2010 and 20 cases/100,000 in 2017, aligned with the 5-year prevalence of mCRPC of 16/100,000 males in our study.

The baseline patient characteristics were broadly similar across disease stages in terms of smoking status, alcohol use, hypertension, diabetes, and analgesic use. In contrast, the use of antiresorptive bone agents increased in the more advanced stages. Furthermore, OS was reduced in nmCRPC by one-third, and by half in mHSPC and mCRPC, compared to PC (N1/M0), despite the use of available treatments. Recent real-world evidence studies have displayed heterogeneous median OS values [42,43,44,45,46,47,48,49], underlining the complex scenario for mHSPC and mCRPC patients.

The treatment patterns varied according to disease stage and generally reflected contemporaneous clinical practice. Most PC (N1/M0) patients received surgery and/or radiotherapy (non-exclusive treatments), the majority of the nmCRPC patients used ARPIs (enzalutamide was the most frequent), and 52.5% of the mHSPC patients received docetaxel.

The mHSPC patients were treated with abiraterone, enzalutamide, apalutamide, and docetaxel in addition to ADT (treatment intensification), following guideline recommendations [34,50]. This contrasts with a recent study reporting that most patients do not receive these treatments, although their use was increasingly higher in Spain [51]. The EMA gave its positive opinion of abiraterone in 2017 [52], docetaxel in 2019 [53], apalutamide in 2019 [54], and enzalutamide in 2021 [55] for mHSPC patients. This study’s results (2014–2021) clearly reflect this sequential approval. Figure S4 summarizes the positive opinion and indication of each group in Spain.

In mCRPC, the preferred treatments were overall similar across the first and second lines. However, in the L3 and L4+ settings, ARPIs and taxanes were used similarly. Cabazitaxel and Radium-223 use was higher across the more advanced treatment lines in patients with mCRPC.

The treatment duration throughout PC progression was increasingly short. The treatment patterns observed in this real-world setting reflect, in general, the guideline recommendations up to 2021 (Table 4) [34,50]. However, advanced PC management is challenging, and regional differences in recommendations, treatment patterns, and availability have been documented [56]. The available treatments for mCRPC are palliative [57]. We found that 55.9% of the L1 patients used ARPIs (abiraterone and enzalutamide at similar frequencies) and 28.9% were treated with chemotherapy, similarly to previous reports [20,56]. Chemotherapy was the preferred treatment in L2 patients, and, in Spain, chemotherapy and ARPIs were equally used, in line with our results [56]. Radium-223 usage was scarce in mCRPC patients and only increased in L4+ (14.2%) cases. PARP inhibitors (iPARPs) were not used, as reflected in this study, likely due to a lack of funding from the Spanish healthcare system within the analyzed period. The treatment patterns observed during the study period should be interpreted in the context of evolving drug availability, reimbursement policies, and regulatory approvals in Spain. Apparent deviations from contemporaneous clinical guidelines may therefore reflect access limitations or delayed adoption rather than inappropriate clinical decision-making. Thus, it is not possible to fully disentangle the impact of evolving drug approvals, reimbursement policies, and guideline updates from true changes in physician preference over time; however, physician preference is limited by treatment indication and approval from the Spanish Agency of Medicines and Health Products (AEMPS). The Spanish healthcare system is tax-funded and universal. Therefore, observed temporal trends in treatment patterns should be interpreted as the net result of these intertwined factors rather than as pure indicators of prescriber choice.

Table 4.

Most-used treatments or approaches in our study and treatment perspective overview across the years, according to clinical guidelines.

Results from the Study 2021 Clinical Guidelines 2023–2025 Clinical Guidelines §,⁋
PC (N1/M0) ADT + surgery and/or RT (non-exclusive treatments) RP +/− pelvic lymphadenectomy
ADT + RT
RT + 2–3 years ADT + 2 years abiraterone
RP
mHSPC ADT + RT
ADT + abiraterone
ADT + enzalutamide
ADT + apalutamide
ADT + docetaxel
ADT + abiraterone
ADT + docetaxel
ADT + apalutamide
ADT + enzalutamide
ADT + docetaxel + RT
ADT + docetaxel +/− abiraterone/darolutamide (triplet therapy indicated only for high risk)
ADT + RT to the primary tumor + ARPI
ADT + abiraterone/apalutamide/enzalutamide/darolutamide
nmCRPC ADT + enzalutamide
ADT + darolutamide
ADT + apalutamide
ADT + enzalutamide
ADT + darolutamide
ADT + apalutamide
ADT + enzalutamide
ADT + darolutamide
ADT + apalutamide
mCRPC L1 ADT + RT
ADT + abiraterone
ADT + enzalutamide
ADT + docetaxel
1st docetaxel → 2nd cabazitaxel
ADT + abiraterone
ADT + enzalutamide
1st docetaxel → 2nd cabazitaxel
ADT+ Abiraterone +/− olaparib/niraparib
ADT+ Enzalutamide +/− talazoparib
117Lu-PSMA
mCRPC L2 ADT + RT
ADT + abiraterone
ADT + enzalutamide
ADT + docetaxel
ADT + cabazitaxel
Cabazitaxel
ADT + abiraterone
ADT + enzalutamide
Docetaxel
Cabazitaxel
ADT+ Abiraterone
ADT+ Enzalutamide
223Ra
Cabazitaxel/223Ra/117Lu-PSMA-617/ olaparib
PARP inhibitor
Docetaxel rechallenge
ADT+ ARPI followed by PARP inhibitor
mCRPC L3 ADT + docetaxel
ADT + cabazitaxel
ADT + abiraterone
ADT + enzalutamide
ADT + RT
Cabazitaxel
223-Ra
Not specified
Cabazitaxel
mCRPC L4+ ADT + cabazitaxel
ADT + docetaxel
ADT + enzalutamide
ADT + abiraterone
ADT + RT
Not specified Not specified

Our analysis could not discern if a treatment was given together or before/after any combination; [34,50]; § [3,58,59]; all the options below are not suitable for all patients, and restrictions apply; please consult each clinical guideline for further specification. ADT, androgen deprivation therapy; mCRPC, metastatic castration-resistant prostate cancer; mHSPC, metastatic hormone-sensitive prostate cancer; 117Lu-PSMA-617, lutetium-177 combined with prostate-specific membrane antigen inhibitor; nmCRPC, non-metastatic castration-resistant prostate cancer; PC (N0/M0), prostate cancer (nearby lymph nodes 0/metastasis 0); PC (N1/M0), prostate cancer (nearby lymph nodes 1/metastasis 0); 223Ra, radium-223; RP, radical prostatectomy; RT, radiotherapy.

Our study reaches 2021; however, issues regarding treatment controversies or lack of evidence are still ongoing, as the recent guidelines [56,57] and the conference on Advanced Prostate Cancer underlined [58]. Particularly, it is difficult to establish guidelines for the mCRPC stage, since the patients who reach this stage are very heterogeneous and their previous treatment and clinical history need to be taken into account [3,34,50,59]. In our study, ARPIs were preferred over taxanes in L1 (55.9% and 28.9%, respectively) and L2 (49.7% and 37.3%, respectively). In L3, taxanes were used over ARPIs (44.9% vs. 34.8%). Still, a preferred treatment for L4+ was missing, reflecting the lack of recommendations (the choice of therapy may be motivated by the patient’s toxicity profile) [19,21]. The observed use of ARPIs in later mCRPC lines should be interpreted in the context of real-world clinical constraints. During the study period, therapeutic options beyond the second or third line were limited, and treatment decisions in advanced mCRPC are frequently driven by patient frailty, tolerability, comorbidity burden, and prior treatment-related toxicities. Therefore, ARPIs use in L4+ likely reflects unmet clinical needs and feasibility considerations rather than expected therapeutic benefit, particularly in the presence of known cross-resistance mechanisms. More widespread use of ARPIs in mHSPC could impact the preference for taxanes for mCRPC over subsequent years. Cabazitaxel was increasingly used in advanced lines, likely following its indication after docetaxel failure [60], but only 11.4% of mCRPC patients received it across the different stages despite its demonstrated impact on prognosis [60], which may be related to their toxicity profile and patient clinical status in ≥L3. Moreover, treatment duration was increasingly shorter with each subsequent treatment line, likely due to cross-resistance development between ARPIs and taxanes, failing to achieve durable responses in very advanced patients, leaving place for new drugs with different mechanisms of action, such as iPARPs and Lutetium [57,61]. Despite treatment, most patients progressed or died. We have included Table 4 to compare scenarios to actual guidelines and perspectives over time.

ADT, ARPIs, and taxanes are associated with multiple side effects that require monitoring and concomitant treatments to mitigate symptoms. These include, among others, weight gain, increased cholesterol and triglyceride levels, insulin resistance, and bone mineral density loss, which impact cardiovascular function [62,63]. These patients frequently have baseline cardiovascular comorbidities, which PC treatments further worsen [64]. Our results showed increased cardiovascular comorbidities during follow-up for all PC stages. However, we cannot definitively attribute these increases to disease progression alone. Multiple competing mechanisms may be responsible of these increases, including (1) accumulating cardiovascular risk in an ageing cohort; (2) potential cardiometabolic effects of ADT and other therapies; (3) increased clinical surveillance and detection in advanced disease stages; and (4) disease progression itself. The observational design and available variables do not permit to quantify the relative contribution of each mechanism. Similarly, the increased frequency of grade III anemia in advanced mCRPC lines may reflect disease progression, bone marrow infiltration, cumulative effects of systemic therapies, or more frequent laboratory monitoring. Along these lines, though glucose levels were similar across PC stages, body weight decreased as the disease progressed. This finding could be related to cancer-associated cachexia, ADT-induced changes in body composition, treatment-related toxicity, or the cumulative effect of comorbidities [65]. However, the database does not capture direct measures of muscle mass or body composition, and therefore, sarcopenia cannot be formally assessed. These explanations remain hypothetical in our dataset.

This study has several limitations inherent to retrospective observational studies, including incomplete or missing information and the inability to infer causality. Only all-cause mortality was available, as cancer-specific death could not be retrieved. We retrospectively reviewed patient data 30 months before the study period to ensure the accurate classification of patients into study cohorts; however, this study’s results, particularly those regarding patient management, may not be generalizable to other settings (treatment utilization patterns depend on the organization and characteristics of healthcare systems and the drugs available for each indication in different countries). Moreover, treatment selection in mCRPC is strongly influenced by patient characteristics, disease trajectory, prior therapies, tolerability, and clinical judgment, which are not fully captured in routinely collected data. Therefore, confounding by indication cannot be excluded, and differences in treatment use across mCRPC lines should be interpreted as reflecting real-world practice rather than comparative effectiveness. Accordingly, treatment patterns are reported descriptively. In addition, treatment history prior to 1 January 2012 was unavailable. As a result, some patients classified as receiving first-line treatment for mCRPC may have received prior systemic therapies before their first recorded observation in the database. This limitation may bias treatment pattern descriptions and survival estimates by line, which should be interpreted as reflecting observed treatment sequences rather than complete lifetime treatment histories. Although the BIG-PAC® database includes a large population from several autonomous regions, it does not cover all regions in Spain. Consequently, some degree of regional heterogeneity in treatment patterns and healthcare organization cannot be excluded. Nevertheless, PC management in Spain is delivered within a universal, tax-funded healthcare system and is largely guided by national and international clinical guidelines, supporting the relevance of the observed patterns as representative of routine clinical practice during the study period. Clinical guidelines and therapeutic indications have also evolved substantially over time, which may have influenced treatment distributions and should be considered when interpreting temporal trends. Finally, ambiguity regarding surgical intent in PC (N1/M0) may lead to misclassification of treatment strategies in this cohort; reported proportions of surgery should therefore be interpreted as descriptive of recorded procedures rather than definitive evidence of therapeutic intent.

Acknowledging these limitations, our aim was to provide a sound descriptive analysis to allow clear interpretation. This study provided valuable real-world data in Spain; to our knowledge, few studies have assessed the characteristics of mCRPC patients beyond the L3. Overall, this study’s results may be useful in optimizing the care of patients at different stages of advanced PC.

5. Conclusions

The PC (N0/M0) stage was the most prevalent in Spain, followed by PC (N1/M0) and mCRPC. As expected, advanced PC contributed to significant comorbidity burden and concomitant treatment use, increasing as PC progressed. Despite treatment guideline adherence and new treatment availability, the mHSPC and mCRPC patients’ OS remained short, and cardiovascular-related diseases still developed across the PC stage spectrum. We gathered vital information for patients in order to help them receive optimal treatment conditions and improve their well-being.

Acknowledgments

The authors would like to thank Támara Pozo (AstraZeneca) and Alfonsina Trento (Atrys Health) for their insights and medical writing support. Nuria Romero Laorden is supported by the CRIS Clinical Talent Programme 2022 from ’Fundación CRIS contra el Cáncer’, and grants from Instituto de Salud Carlos III (PI21/01111) and Mutua Madrileña (AP176822021).

Abbreviations

The following abbreviations are used in this manuscript:

ADT Androgen deprivation therapy
ARPI Androgen receptor pathway inhibitor
ATC Anatomical therapeutic chemical classification
BMI Body mass index
CI Confidence interval
CRPC Castration-resistant prostate cancer
EAU European Association of Urology
EMA European Medicines Agency
EMR Electronic medical records
ESMO European Society for Medical Oncology
HSPC Hormone-sensitive prostate cancer
ICD International Classification of Diseases
IQR Interquartile range
L Line (treatment line)
m Metastatic
mCRPC Metastatic castration-resistant prostate cancer
mHSPC Metastatic hormone-sensitive prostate cancer
nm Non-metastatic
nmCRPC Non-metastatic castration-resistant prostate cancer
OS Overall survival
PC Prostate cancer
PSA Prostate-specific antigen
Q1 First quartile
Q3 Third quartile
RECORD REporting of studies Conducted using Observational Routinely-collected health Data
RT Radiotherapy
SD Standard deviation
SEOM Sociedad Española de Oncología Médica
T Tumor
TNM Tumor, node, and metastasis classification
TURP Transurethral resection of the prostate

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/cancers18040554/s1: Table S1: Progression of patients throughout prostate cancer stages during the study; Table S2: Anatomical Therapeutic Chemical (ATC) and International Classification of Diseases (ICD) codes for prostate cancer treatments; Table S3: ATC and ICD-10 codes for previous and concomitant treatments; Table S4: ICD-10 codes for additional evaluations; Table S5: Follow-up in mHSPC patients; Table S6: Prostate cancer patients who undergo treatments during the follow-up period according to disease stage, n (%); Table S7: Duration of prostate cancer treatments during the follow-up period according to disease stage; Table S8: Concomitant medication and procedures during the follow-up period; Figure S1: Diagram of the study design; Figure S2: Patient selection flow chart and classification into study cohorts; Figure S3: Flow of unique patients from the moment they entered the study until the end of study or follow-up; Figure S4: Financial situation and therapeutic positioning reports/technical sheets or national clinical guidelines.

Author Contributions

Conceptualization and design, A.B.-F., N.R.-L., J.F.R.-M., J.R.-B., N.A.-O., A.B.-K., and I.H.; acquisition of data, I.H.; analysis and interpretation of data, A.B.-F., N.R.-L., J.F.R.-M., J.R.-B., E.R.-G., and I.H.; writing—original draft preparation, E.R.-G.; writing—review and editing, A.B.-F., N.R.-L., J.F.R.-M., J.R.-B., N.A.-O., A.B.-K., E.R.-G., and I.H.; obtaining funding: N.A.-O. and A.B.-K.; administrative, technical or material support: I.H. and E.R.-G.; supervision, A.B.-F. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Data from EMRs collected in the BIG-PAC® database was anonymized in their centers of origin, in compliance with the General Data Protection Regulation (EU) 2016/679 (GDPR) and the Organic Law 3/2018 of 5 December, on the Protection of Personal Data and guarantee of digital rights. Thus, written informed consent was not required. The study was conducted in accordance with the Declaration of Helsinki and approved by the Research Ethics Committee of the Consorci Sanitari de Terrassa (Terrassa, Spain) on 14 June 2022 (Ethics committee approval number: 02-22-399-075). This study followed the requirements of the Reporting of studies Conducted using Observational Routinely-collected health data statement [66].

Informed Consent Statement

Patient consent was waived due to the anonymization of patient data prior to analysis. The anonymization process did not interfere with the data.

Data Availability Statement

The datasets generated and analyzed during the current study are not available from the corresponding author because they include patient data.

Conflicts of Interest

Angel Borque-Fernando has received fees for participation in training events from Asofarma, Astellas, Astra-Zeneca, Bayer, GP Pharm, HealthMDx, Ipsen, Janssen, Lacer, MSD, fee for advisory meetings (Advisory Board) from Astellas, Astra-Zeneca, Bayer, Janssen, MSD, and support for meeting attendance from Astellas, Astra-Zeneca, Bayer, Ipsen, Janssen, Recordati. Nuria Romero-Laorden declares research grants from Janssen, Pfizer and MSD and has received fee for advisory meetings (Advisory Board) from Astra-Zeneca, MSD and GSK. Juan Francisco Rodríguez-Moreno is an employee of HM Hospitales, has received research funding from Astra-Zeneca, BMS, Roche, Johnson & Johnson, Astellas, Tesaro, Abbvie, Eisai and Bayer, fees as speaker from Roche, BMS, Johnson & Johnson, Astra-Zeneca, Astellas and Bayer, and grant support from Astellas, Roche and Astra-Zeneca. Noelia Alfaro-Oliver and Ariela Beliera-Kiendl are employees of AstraZeneca; Elena Rebollo-Gómez and Ignacio Hernández are Atrys Health employees; Jose Rubio-Briones declares no conflict of interest.

Funding Statement

This research was funded by AstraZeneca (AZ-SRP-2022-01). The sponsor had no role in the data analysis, interpretation of the results, or manuscript preparation.

Footnotes

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References

  • 1.Sociedad Española de Oncología Médica . Las Cifras del Cáncer en España 2023. Sociedad Española de Oncología Médica; Madrid, Spain: 2023. [Google Scholar]
  • 2.Red Española de Registros de Cáncer Estimaciones de la Incidencia del Cáncer en España. [(accessed on 13 August 2025)]. Available online: https://redecan.org/storage/documentation/442e1d1a-4040-4674-81cf-5e6a67af6458.pdf.
  • 3.Cornford P., Tilki D., van den Bergh R.C.N., Eberli D., De Meerleer G., De Santis M., Gillessen S., Henry A.M., van Leenders G.J.L.H., Oldenburg J., et al. EAU-EANM-ESTRO-ESUR-ISUP-SIOG Guidelines on Prostate cancer; Proceedings of the EAU Annual Congress; Madrid, Spain. 21–24 March 2025. [Google Scholar]
  • 4.Knipper S., Ott S., Schlemmer H.P., Grimm M.O., Graefen M., Wiegel T. Options for Curative Treatment of Localized Prostate Cancer. Dtsch. Arztebl. Int. 2021;118:228–236. doi: 10.3238/arztebl.m2021.0026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Choi E., Buie J.D., Camacho J., Sharma P., de Riese W.T.W. Evolution of Androgen Deprivation Therapy (ADT) and Its New Emerging Modalities in Prostate Cancer: An Update for Practicing Urologists, Clinicians and Medical Providers. Res. Rep. Urol. 2022;14:87–108. doi: 10.2147/RRU.S303215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Dong L., Zieren R.C., Xue W., de Reijke T.M., Pienta K.J. Metastatic prostate cancer remains incurable, why? Asian J. Urol. 2019;6:26–41. doi: 10.1016/j.ajur.2018.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Wang L., Paller C.J., Hong H., De Felice A., Alexander G.C., Brawley O. Comparison of Systemic Treatments for Metastatic Castration-Sensitive Prostate Cancer. JAMA Oncol. 2021;7:412–420. doi: 10.1001/jamaoncol.2020.6973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Kumar J., Alam M., Jazayeri S., Tanneru K., Bazargani S., Shastri C., Gautam S., Koochekpour S., Shukla S., Bandyk M., et al. Combination therapy in metastatic castration sensitive prostate cancer: A Systematic review and network meta-analysis. Indian J. Urol. 2022;38:220–226. doi: 10.4103/iju.iju_402_21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Flaig T.W., Potluri R.C., Ng Y., Todd M.B., Mehra M. Treatment evolution for metastatic castration-resistant prostate cancer with recent introduction of novel agents: Retrospective analysis of real-world data. Cancer Med. 2016;5:182–191. doi: 10.1002/cam4.576. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Yamada Y., Beltran H. The treatment landscape of metastatic prostate cancer. Cancer Lett. 2021;519:20–29. doi: 10.1016/j.canlet.2021.06.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Longoria O., Beije N., de Bono J.S. PARP inhibitors for prostate cancer. Semin. Oncol. 2023;51:25–35. doi: 10.1053/j.seminoncol.2023.09.003. [DOI] [PubMed] [Google Scholar]
  • 12.Agencia Española de Medicamentos y Productos Sanitarios . Ficha Tecnica Pluvicto 1000 mbq/mL Solucion Inyectable y para Perfusion. Agencia Española de Medicamentos y Productos Sanitarios; Madrid, Spain: 2022. [Google Scholar]
  • 13.Agencia Española de Medicamentos y Productos Sanitarios . Informe de Posicionamiento Terapéutico de Lutecio (177Lu) Vipivotida Tetraxetán (Pluvicto®) en Combinación con Terapia de Privación Androgénica (TDA) con o sin Inhibidores de la vía del Receptor Androgénico (RA) Indicado para el Tratamiento de Pacientes Adultos con Cáncer de Próstata Metastásico Progresivo Resistente a la Castración Positivo al Antígeno de Membrana Específico de la Próstata (PSMA) que han Recibido Tratamiento con Inhibidores del eje Androgénico y Quimioterapia con Taxanos. Agencia Española de Medicamentos y Productos Sanitarios; Madrid, Spain: 2024. [Google Scholar]
  • 14.Agencia Española de Medicamentos y Productos Sanitarios . Informe de Posicionamiento Terapéutico de Talazoparib (Talzenna®) en Combinación con Enzalutamida, para el Tratamiento de Pacientes Adultos con Cáncer de Próstata Metastásico Resistente a la Castración, en los que la Quimioterapia no está Clínicamente Indicada. Agencia Española de Medicamentos y Productos Sanitarios; Madrid, Spain: 2024. [Google Scholar]
  • 15.Agencia Española de Medicamentos y Productos Sanitarios . Ficha Tecnica Talzenna 0.25 mg Capsulas Duras. Agencia Española de Medicamentos y Productos Sanitarios; Madrid, Spain: 2024. [Google Scholar]
  • 16.Ministerio de Sanidad . BIFIMED: Buscador de la Información Sobre la Situación de Financiación de los Medicamentos—Nomenclátor de OCTUBRE—2025—LUTECIO (177LU) VIPIVOTIDA TETRAXETAN. Ministerio de Sanidad; Madrid, Spain: 2025. [(accessed on 3 May 2025)]. BIFIMED. Available online: https://www.sanidad.gob.es/profesionales/medicamentos.do?metodo=verDetalle&cn=759982. [Google Scholar]
  • 17.Ministerio de Sanidad . BIFIMED: Buscador de la Información Sobre la Situación de Financiación de los Medicamentos—Nomenclátor de OCTUBRE—2025—ABIRATERONA. Ministerio de Sanidad; Madrid, Spain: 2025. [(accessed on 3 May 2025)]. NIRAPARIB; BIFIMED. Available online: https://www.sanidad.gob.es/profesionales/medicamentos.do?metodo=verDetalle&cn=762402. [Google Scholar]
  • 18.Ministerio de Sanidad . BIFIMED: Buscador de la Información Sobre la Situación de Financiación de los Medicamentos—Nomenclátor de OCTUBRE—2025—TALAZOPARIB. Ministerio de Sanidad; Madrid, Spain: 2025. [(accessed on 3 May 2025)]. Available online: https://www.sanidad.gob.es/profesionales/medicamentos.do?metodo=verDetalle&cn=726297. [Google Scholar]
  • 19.Handy C.E., Antonarakis E.S. Sequencing Treatment for Castration-Resistant Prostate Cancer. Curr. Treat. Options Oncol. 2016;17:64. doi: 10.1007/s11864-016-0438-9. [DOI] [PubMed] [Google Scholar]
  • 20.Leaning D., Kaur G., Morgans A.K., Ghouse R., Mirante O., Chowdhury S. Treatment landscape and burden of disease in metastatic castration-resistant prostate cancer: Systematic and structured literature reviews. Front. Oncol. 2023;13:1240864. doi: 10.3389/fonc.2023.1240864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Gillessen S., Bossi A., Davis I.D., de Bono J., Fizazi K., James N.D., Mottet N., Shore N., Small E., Smith M., et al. Management of patients with advanced prostate cancer—Metastatic and/or castration-resistant prostate cancer: Report of the Advanced Prostate Cancer Consensus Conference (APCCC) 2022. Eur. J. Cancer. 2023;185:178–215. doi: 10.1016/j.ejca.2023.02.018. [DOI] [PubMed] [Google Scholar]
  • 22.Booth C.M., Karim S., Mackillop W.J. Real-world data: Towards achieving the achievable in cancer care. Nat. Rev. Clin. Oncol. 2019;16:312–325. doi: 10.1038/s41571-019-0167-7. [DOI] [PubMed] [Google Scholar]
  • 23.Schaeffer E.M., Srinivas S., Adra N., An Y., Barocas D., Bitting R., Bryce A., Chapin B., Cheng H.H., D’Amico A.V., et al. Prostate Cancer, Version 4.2023, NCCN Clinical Practice Guidelines in Oncology. J. Natl. Compr. Cancer Netw. 2023;21:1067–1096. doi: 10.6004/jnccn.2023.0050. [DOI] [PubMed] [Google Scholar]
  • 24.European Medicines Agency BIG-PAC. [(accessed on 28 November 2024)]. Available online: https://catalogues.ema.europa.eu/node/4136/administrative-details.
  • 25.Sicras-Mainar A., Enriquez J.L., Hernández I., Sicras-Navarro A., Aymerich T., Leon M. PMU146 Validation and representativeness of the spanish BIG-PAC database: Integrated computerized medical records for research into epidemiology, medicines and health resource use (real word evidence) Value Health. 2019;22:S734. doi: 10.1016/j.jval.2019.09.1764. [DOI] [Google Scholar]
  • 26.Sicras-Mainar A., Sicras-Navarro A., Palacios B., Varela L., Delgado J.F. Epidemiología y tratamiento de la insuficiencia cardiaca en España: Estudio PATHWAYS-HF. Rev. Española Cardiol. 2022;75:31–38. doi: 10.1016/j.recesp.2020.09.014. [DOI] [PubMed] [Google Scholar]
  • 27.Sicras-Mainar A., Sorio-Vilela F., Sacrest-Soy M., Gatell S., Sicras-Navarro A., Villoro-Valdes R., Rebollo-Gomez E., Hernandez I. Real-World Osteoporosis Treatment Gap and Costs in Spain: Data from Women with a First Fragility Fracture or Diagnosis of Postmenopausal Osteoporosis. Rheumatol. Ther. 2025;12:315–335. doi: 10.1007/s40744-024-00743-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Santos S., Manito N., Sanchez-Covisa J., Hernandez I., Corregidor C., Escudero L., Rhodes K., Nordon C. Risk of severe cardiovascular events following COPD exacerbations: Results from the EXACOS-CV study in Spain. Rev. Esp. Cardiol. (Engl. Ed.) 2025;78:138–150. doi: 10.1016/j.recesp.2024.06.004. [DOI] [PubMed] [Google Scholar]
  • 29.Escobar-Cervantes C., Palacios B., Villarreal M., Gutiérrez M., Capel M., Hernandez I., García M., Lledo L., Arenillas J.F. Clinical and Economic Impact of a First Major Bleeding Event in Non-Anticoagulated Patients in Spain: A 3-Year Retrospective Observational Cohort Study. J. Clin. Med. 2025;14:1377. doi: 10.3390/jcm14041377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Turnes J., Garcia-Herola A., Morillo-Verdugo R., Mendez M., Hernandez C., Sicras-Mainar A. Impact of potential multiple drug-drug interactions on the adverse event profile of patients with hepatitis C treated with pangenotypic direct-acting antivirals in Spain. Rev. Esp. Sanid. Penit. 2024;26:98–112. doi: 10.18176/resp.00095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Mullol J., Sastre J., Dominguez-Ortega J., Blanco-Aparicio M., Castillo Vizuete J.A., Alobid I., Garcia-Vitoria M., Palomo-Jimenez P.I. Prevalence of chronic rhinosinusitis without/with nasal polyps according to severity in Spain. Rhinology. 2024;62:421–431. doi: 10.4193/Rhin23.341. [DOI] [PubMed] [Google Scholar]
  • 32.Gonzalez-Lopez T.J., Alperovich G., Burillo E., Espejo-Saavedra Soler M., Rebollo-Gomez E., Hernandez I., Justicia J.L., Lozano M.L. Epidemiology, Treatment Patterns, and Cost Analysis of Immune Thrombocytopenia in Spain between 2014 and 2020: A Population-based Study. TH Open. 2024;8:e252–e265. doi: 10.1055/a-2336-1062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Barriales-Villa R., Escobar-Lopez L., Vilanova Larena D., Salazar-Mendiguchia J., Echeto A., Hernandez I., Rebollo-Gomez E., Gimeno J.R. Clinical management and healthcare resource utilization among patients with obstructive hypertrophic cardiomyopathy in Spain: A real-world study. Rev. Esp. Cardiol. (Engl. Ed.) 2025;78:1041–1053. doi: 10.1016/j.recesp.2025.04.004. [DOI] [PubMed] [Google Scholar]
  • 34.González del Alba A., Méndez-Vidal M.J., Vazquez S., Castro E., Climent M.A., Gallardo E., Gonzalez-Billalabeitia E., Lorente D., Maroto J.P., Arranz J.A. SEOM clinical guidelines for the treatment of advanced prostate cancer (2020) Clin. Transl. Oncol. 2021;23:969–979. doi: 10.1007/s12094-021-02561-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Scher H.I., Halabi S., Tannock I., Morris M., Sternberg C.N., Carducci M.A., Eisenberger M.A., Higano C., Bubley G.J., Dreicer R., et al. Design and End Points of Clinical Trials for Patients with Progressive Prostate Cancer and Castrate Levels of Testosterone: Recommendations of the Prostate Cancer Clinical Trials Working Group. J. Clin. Oncol. 2008;26:1148–1159. doi: 10.1200/JCO.2007.12.4487. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Tilki D., van den Bergh R.C.N., Briers E., Van den Broeck T., Brunckhorst O., Darraugh J., Eberli D., De Meerleer G., De Santis M., Farolfi A., et al. EAU-EANM-ESTRO-ESUR-ISUP-SIOG Guidelines on Prostate Cancer. Part II-2024 Update: Treatment of Relapsing and Metastatic Prostate Cancer. Eur. Urol. 2024;86:164–182. doi: 10.1016/j.eururo.2024.04.010. [DOI] [PubMed] [Google Scholar]
  • 37.ICD . ICD-9-CM—International Classification of Diseases. Practice Management; Schaumburg, IL, USA: 2004. Ninth Revision, Clinical Modification. [Google Scholar]
  • 38.Centers for Disease Control Prevention International Classification of Diseases, Tenth Revision (ICD-10) [(accessed on 3 May 2025)]; Available online: https://www.cdc.gov/nchs/icd/icd-10/?CDC_AAref_Val=https://www.cdc.gov/nchs/icd/icd10.htm.
  • 39.Charlson M.E., Pompei P., Ales K.L., MacKenzie C.R. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J. Chronic Dis. 1987;40:373–383. doi: 10.1016/0021-9681(87)90171-8. [DOI] [PubMed] [Google Scholar]
  • 40.Asociación Española Contra el Cáncer Dimensiones del Cáncer. [(accessed on 3 May 2025)]. Available online: https://observatorio.contraelcancer.es/explora/dimensiones-del-cancer.
  • 41.Wallace K.L., Landsteiner A., Bunner S.H., Engel-Nitz N.M., Luckenbaugh A.N. Increasing prevalence of metastatic castration-resistant prostate cancer in a managed care population in the United States. Cancer Causes Control. 2021;32:1365–1374. doi: 10.1007/s10552-021-01484-4. [DOI] [PubMed] [Google Scholar]
  • 42.Tashkandi E. Real-World Treatment Patterns and Survival Outcomes in Metastatic Hormone-Sensitive Prostate Cancer: Insights from a Retrospective Cohort Study. Cancer Manag. Res. 2025;17:419–428. doi: 10.2147/CMAR.S506423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Miyake H., Matsumoto R., Fujimoto K., Mizokami A., Uemura H., Kamoto T., Kawakami S., Nakamura K., Maekawa S., Shibayama K., et al. Clinical Outcomes of Patients with High-risk Metastatic Hormone-naïve Prostate Cancer: A 3-year Interim Analysis of the Observational J-ROCK Study. Eur. Urol. Oncol. 2024;7:625–632. doi: 10.1016/j.euo.2023.12.013. [DOI] [PubMed] [Google Scholar]
  • 44.Verry C., Vincendeau S., Massetti M., Blachier M., Vimont A., Bazil M.L., Bernardini P., Pettré S., Timsit M.O. Pattern of Clinical Progression Until Metastatic Castration-Resistant Prostate Cancer: An Epidemiological Study from the European Prostate Cancer Registry. Target. Oncol. 2022;17:441–451. doi: 10.1007/s11523-022-00899-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Wenzel M., Siech C., Hoeh B., Koll F., Humke C., Tilki D., Steuber T., Graefen M., Banek S., Kluth L.A., et al. Contemporary Treatment Patterns and Oncological Outcomes of Metastatic Hormone-sensitive Prostate Cancer and First- to Sixth- line Metastatic Castration-resistant Prostate Cancer Patients. Eur. Urol. Open Sci. 2024;66:46–54. doi: 10.1016/j.euros.2024.06.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.George D.J., Sartor O., Miller K., Saad F., Tombal B., Kalinovský J., Jiao X., Tangirala K., Sternberg C.N., Higano C.S. Treatment Patterns and Outcomes in Patients with Metastatic Castration-resistant Prostate Cancer in a Real-world Clinical Practice Setting in the United States. Clin. Genitourin. Cancer. 2020;18:284–294. doi: 10.1016/j.clgc.2019.12.019. [DOI] [PubMed] [Google Scholar]
  • 47.George D.J., Ramaswamy K., Yang H., Liu Q., Zhang A., Greatsinger A., Ivanova J., Thompson B., Emir B., Hong A., et al. Real-world overall survival with abiraterone acetate versus enzalutamide in chemotherapy-naïve patients with metastatic castration-resistant prostate cancer. Prostate Cancer Prostatic Dis. 2024;27:756–764. doi: 10.1038/s41391-024-00816-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Shore N.D., Laliberte F., Ionescu-Ittu R., Yang L., Mahendran M., Lejeune D., Yu L.H., Burgents J., Duh M.S., Ghate S.R. Real-World Treatment Patterns and Overall Survival of Patients with Metastatic Castration-Resistant Prostate Cancer in the US Prior to PARP Inhibitors. Adv. Ther. 2021;38:4520–4540. doi: 10.1007/s12325-021-01823-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.García Trevijano Cabetas M., Escario-Gómez M., González-Del Valle L., Sobrino Jiménez C., Bilbao Gomez-Martino C., Romero-Garrido J.A., Benedi-González J., Espinosa Arranz E., Díaz Almirón M., Herrero Ambrosio A. Real-world outcomes of abiraterone and enzalutamide in first-line treatment of metastatic castration-resistant prostate cancer: Which patients benefit most? Eur. J. Hosp. Pharm. 2023;30:268–272. doi: 10.1136/ejhpharm-2021-002798. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Parker C., Castro E., Fizazi K., Heidenreich A., Ost P., Procopio G., Tombal B., Gillessen S., on behalf of the ESMO Guidelines Committee Prostate cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann. Oncol. 2020;31:1119–1134. doi: 10.1016/j.annonc.2020.06.011. [DOI] [PubMed] [Google Scholar]
  • 51.Barata P.C., Leith A., Ribbands A., Montgomery R., Last M., Arondekar B., Ivanova J., Niyazov A. Real-World Treatment Trends Among Patients with Metastatic Castration-Sensitive Prostate Cancer: Results from an International Study. Oncologist. 2023;28:780–789. doi: 10.1093/oncolo/oyad045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Committee for Medicinal Products for Human Use (CHMP) European Medicines Agency . Summary of Opinion (Post Authorisation) Zytiga Abiraterone Acetate. European Medicines Agency; Amsterdam, The Netherlands: 2017. [(accessed on 3 May 2025)]. Available online: www.ema.europa.eu/en/documents/smop/chmp-post-authorisation-summary-positive-opinion-zytiga_en.pdf-0. [Google Scholar]
  • 53.Committee for Medicinal Products for Human Use (CHMP) European Medicines Agency . Summary of Opinion (Post Authorisation) Docetaxel Zentiva. European Medicines Agency; Amsterdam, The Netherlands: 2019. [(accessed on 3 May 2025)]. Available online: www.ema.europa.eu/en/documents/smop/chmp-post-authorisation-summary-positive-opinion-docetaxel-zentiva-ws-1550_en.pdf. [Google Scholar]
  • 54.Committee for Medicinal Products for Human Use (CHMP) European Medicines Agency . Summary of Opinion (Post Authorisation) Erleada Apalutamide. European Medicines Agency; Amsterdam, The Netherlands: 2019. [(accessed on 3 May 2025)]. Available online: www.ema.europa.eu/en/documents/smop/chmp-post-authorisation-summary-positive-opinion-erleada-ii-01_en.pdf. [Google Scholar]
  • 55.Committee for Medicinal Products for Human Use (CHMP) European Medicines Agency . Summary of Opinion (Post Authorisation) Xtandi Enzalutamide. European Medicines Agency; Amsterdam, The Netherlands: 2021. [(accessed on 3 May 2025)]. Available online: www.ema.europa.eu/en/documents/smop/chmp-post-authorisation-summary-positive-opinion-xtandi-ii-47-g_en.pdf. [Google Scholar]
  • 56.Leith A., Kim J., Ribbands A., Clayton E., Yang L., Ghate S.R. Real-World Treatment Patterns in Metastatic Castration-Resistant Prostate Cancer Across Europe (France, Germany, Italy, Spain, and the United Kingdom) and Japan. Adv. Ther. 2022;39:2236–2255. doi: 10.1007/s12325-022-02073-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Nuhn P., De Bono J.S., Fizazi K., Freedland S.J., Grilli M., Kantoff P.W., Sonpavde G., Sternberg C.N., Yegnasubramanian S., Antonarakis E.S. Update on Systemic Prostate Cancer Therapies: Management of Metastatic Castration-resistant Prostate Cancer in the Era of Precision Oncology. Eur. Urol. 2019;75:88–99. doi: 10.1016/j.eururo.2018.03.028. [DOI] [PubMed] [Google Scholar]
  • 58.Gillessen S., Turco F., Davis I.D., Efstathiou J.A., Fizazi K., James N.D., Shore N., Small E., Smith M., Sweeney C.J., et al. Management of Patients with Advanced Prostate Cancer. Report from the 2024 Advanced Prostate Cancer Consensus Conference (APCCC) Eur. Urol. 2025;87:157–216. doi: 10.1016/j.eururo.2024.09.017. [DOI] [PubMed] [Google Scholar]
  • 59.Spratt D., Srinivas S., Schaeffer E.M., Adra N., Ahmed B., An Y., Bitting R., Chapin B., Cheng H.H., Cho S.Y., et al. NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®) Prostate Cancer. NCCN; Plymouth Meeting, PA, USA: 2025. [Google Scholar]
  • 60.Pean E., Demolis P., Moreau A., Hemmings R.J., O’Connor D., Brown D., Shepard T., Abadie E., Pignatti F. The European Medicines Agency Review of Cabazitaxel (Jevtana®) for the Treatment of Hormone-Refractory Metastatic Prostate Cancer: Summary of the Scientific Assessment of the Committee for Medicinal Products for Human Use. Oncologist. 2012;17:543–549. doi: 10.1634/theoncologist.2011-0364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.van Soest R.J., de Morrée E.S., Kweldam C.F., de Ridder C.M.A., Wiemer E.A.C., Mathijssen R.H.J., de Wit R., van Weerden W.M. Targeting the Androgen Receptor Confers In Vivo Cross-resistance Between Enzalutamide and Docetaxel, But Not Cabazitaxel, in Castration-resistant Prostate Cancer. Eur. Urol. 2015;67:981–985. doi: 10.1016/j.eururo.2014.11.033. [DOI] [PubMed] [Google Scholar]
  • 62.Shore N.D., Antonarakis E.S., Cookson M.S., Crawford E.D., Morgans A.K., Albala D.M., Hafron J., Harris R.G., Saltzstein D., Brown G.A., et al. Optimizing the role of androgen deprivation therapy in advanced prostate cancer: Challenges beyond the guidelines. Prostate. 2020;80:527–544. doi: 10.1002/pros.23967. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Ng C.T., Bonilla H.M.G., Bryce A.H., Singh P., Herrmann J. Approaches to Prevent and Manage Cardiovascular Disease in Patients Receiving Therapy for Prostate Cancer. Curr. Cardiol. Rep. 2023;25:889–899. doi: 10.1007/s11886-023-01909-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Chan J.S.K., Lee Y.H.A., Liu K., Hui J.M.H., Dee E.C., Ng K., Satti D.I., Tang P., Tse G., Ng C.F. Long-term cardiovascular burden in prostate cancer patients receiving androgen deprivation therapy. Eur. J. Clin. Investig. 2023;53:e13932. doi: 10.1111/eci.13932. [DOI] [PubMed] [Google Scholar]
  • 65.Smith M.R., Saad F., Egerdie B., Sieber P.R., Tammela T.L.J., Ke C., Leder B.Z., Goessl C. Sarcopenia During Androgen-Deprivation Therapy for Prostate Cancer. J. Clin. Oncol. 2012;30:3271–3276. doi: 10.1200/JCO.2011.38.8850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Benchimol E.I., Smeeth L., Guttmann A., Harron K., Moher D., Petersen I., Sørensen H.T., von Elm E., Langan S.M. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement. PLoS Med. 2015;12:e1001885. doi: 10.1371/journal.pmed.1001885. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The datasets generated and analyzed during the current study are not available from the corresponding author because they include patient data.


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