Novel metastatic burden-stratified risk model in de novo metastatic hormone-sensitive prostate cancer

Time to Castration Resistance is Associated With Overall Survival Even After the Achievement of Castration Resistance in Metastatic Prostate Cancer

BACKGROUND

Recent clinical trials have shown that patients with metastatic castration-sensitive prostate cancer in real-world settings have different overall survival (OS) rates after stratifying for tumor burden or visceral metastasis. However, some patients with a low tumor burden and without visceral metastasis still have a poor survival. Androgen receptor signaling is still a main therapeutic target of prostate cancer treatment even after the achievement of castration resistance. In this regard, we hypothesized that time to castration resistance can be a prognostic factor of metastatic castration-sensitive prostate cancer even after achieving castration resistance. The current study aimed to assess the novel prognostic factors, particularly time to castration resistance, of prostate cancer in patients at a real-world single institution.

METHODS

The data of 261 patients who were newly diagnosed with metastatic castration-sensitive prostate cancer from January 2007 to December 2023 were retrospectively analyzed.

RESULTS

The median OS was 60.7 months, and the median time to castration resistance was 13.1 months. Among 261 patients, 158 developed castration-resistant prostate cancer. A shorter time to castration resistance, the presence of distant lymph node metastasis, ISUP grade group 5, and older age were associated with a shorter OS in patients who developed castration-resistant prostate cancer. A shorter time to castration resistance was significantly associated with a shorter OS regardless of the tumor burden. Further, it was associated with a shorter OS even after the achievement of castration resistance.

CONCLUSIONS

The study results support the presence of persistent androgen receptor signaling even after achieving castration resistance in prostate cancer, and time to castration resistance can be a biomarker for the activation of androgen receptor signaling regardless of tumor burden.

Novel Treatment Strategies for Low-Risk Metastatic Castration-Sensitive Prostate Cancer

BACKGROUND

The treatment strategy for metastatic castration-sensitive prostate cancer (mCSPC) has changed significantly in recent years. Based on various guidelines, an upfront androgen receptor signaling inhibitor (ARSI) is the first choice, but in patients of Asian descent, including Japanese patients, there are a certain number of cases in which androgen deprivation therapy (ADT) and CAB are more effective. If patients can be identified who show a marked response to ADT within 12 weeks after the initiation of ADT, which is the inclusion criterion for ARSI clinical trials targeting mCSPC, it would be valuable from an economic standpoint.

METHODS

A total of 218 patients with pure prostate adenocarcinoma and treated with ADT at the Kanazawa University Hospital between January 2000 and December 2020 were included in this study. As a risk classification for mCSPC, in addition to the LATITUDE and CHAARTED criteria, we used the castration-sensitive prostate cancer classification proposed by Kanazawa University (Canazawa), developed by the Department of Urology of Kanazawa University. The Canazawa classification was based on three factors: Gleason pattern 5, bone scan index (BSI) ≥ 1.5, and lactate dehydrogenase (LDH) ≥ 300 IU/L. It defined patients with one factor or less as low-risk and patients with two or three factors as high-risk. The overall survival (OS) and time to castration resistance (TTCR) were estimated retrospectively using the Kaplan-Meier method, and factors associated with TTCR were identified using univariate and multivariate analyses.

RESULTS

The median follow-up period was 40.4 months, the median OS period was 85.2 months, and the median TTCR period was 16.4 months. The Canazawa risk classification provided the clearest distinction between the OS and TTCR in mCSPC patients. Multivariate analysis revealed a decrease in PSA levels of <95% at 12 weeks after ADT initiation and was a predictor of short TTCR in low-risk, low-volume patients across all risk classifications.

CONCLUSION

The Canazawa classification differentiated the prognosis of mCSPC patients more clearly. A PSA reduction rate of <95% at 12 w after starting ADT in low-risk, low-volume patients of all risk classifications was significantly shorter than the TTCR. We propose a new treatment strategy, in which patients with low-risk mCSPC are treated with ADT and switched to ARSIs based on the rate of PSA reduction at 12 w.

Predictive model of castration resistance in advanced prostate cancer by machine learning using genetic and clinical data: KYUCOG-1401-A study

BACKGROUND

The predictive power of the treatment efficacy and prognosis in primary androgen deprivation therapy (ADT) for advanced prostate cancer is not satisfactory. The objective of this study was to integrate genetic and clinical data to predict castration resistance in primary ADT for advanced prostate cancer by machine learning (ML).

METHODS

Clinical and single nucleotide polymorphisms (SNP) data obtained in the KYUCOG-1401-A study (UMIN000022852) that enrolled Japanese patients with advanced prostate cancer were used. All patients were treated with primary ADT. A point-wise linear (PWL) algorithm, logistic regression with elastic-net regularization, and eXtreme Gradient Boosting were the ML algorithms used in this study. Area under the curve for castration resistance and C-index for prognoses were calculated to evaluate the utility of the models.

RESULTS

Among the three ML algorithms, the area under the curve values to predict castration resistance at 2 years was highest for the PWL algorithm with all the datasets. Three predictive models (clinical model, small SNPs model, and large SNPs model) were created by the PWL algorithm using the clinical data alone, and 2 and 46 SNPs in addition to clinical data. C-indices for overall survival by the clinical, small SNPs, and large SNPs models were 0.636, 0.621, and 0.703, respectively.

CONCLUSION

The results demonstrated that the SNPs models created by ML produced excellent prediction of castration resistance and prognosis in primary ADT for advanced prostate cancer, and will be helpful in treatment choice.

The Omission of Upfront Treatment Intensification Does Not Adversely Affect Oncological Outcomes in a Subset of Castration-Highly Sensitive Metastatic Prostate Cancer

BACKGROUND/AIM

In patients with metastatic castration-sensitive prostate cancer (mCSPC), upfront treatment intensification with the addition of new hormonal agents and/or docetaxel to androgen deprivation therapy (ADT) is recommended. However, this modality is potentially excessive in a subset of these patients. This study aimed to identify patients who may be eligible to omit upfront treatment intensification.

PATIENTS AND METHODS

Patients with mCSPC who underwent ADT were enrolled. The association between undetectable prostate-specific antigen (PSA) (<0.2 ng/ml) after ADT initiation and overall or castration-resistance-free survival was evaluated.

RESULTS

Ninety-seven out of the 242 enrolled patients had low-risk and/or low-volume cancer and were further analyzed. Of these, 45 (46.4%) patients achieved undetectable PSA. The median follow-up period after ADT initiation was 70 months. The median overall survival among patients with undetectable PSA was quite long, reaching 226 months and significantly longer than that among patients with detectable PSA [71 months, hazard ratio (HR)=0.27, 95% confidence interval (CI)=0.15-0.49, p<0.001]. Time to development of castration-resistance was also long and significantly longer in the undetectable PSA group than that in the detectable PSA group (median: 124 vs. 17 months, HR=0.20, 95% CI=0.12-0.34, p<0.001).

CONCLUSION

Patients with low-risk and/or low-volume mCSPC showed long-term survival when undetectable PSA was achieved during conventional ADT. In these patients, skipping upfront treatment intensification does not seem to negatively impact survival.

Pretreatment Lymphocyte to C-Reactive Protein Ratio: An Independent Predictor of Overall Survival in Metastatic Hormone-Naïve Prostate Cancer Patients

INTRODUCTION

The purpose of this study was to investigate the clinical value of combination of systematic inflammatory factors in predicting the outcomes of primary androgen deprivation therapy (ADT) plus first-generation antiandrogen treatment in metastatic hormone-naïve prostate cancer (mHNPC) patients.

MATERIALS AND METHODS

A total of 361 consecutive mHNPC patients from the discovery (n = 165) and validation (n = 196) cohorts were analyzed. All patients received primary ADT with surgical castration or pharmacologic castration accompanied by first-generation antiandrogens. We evaluated the prognostic impact of pretreatment lymphocyte to C-reactive protein ratio (LCR) on overall survival (OS) in both cohorts.

RESULTS

The median follow-up in the discovery and validation cohorts was 43.4 and 50.9 months, respectively. In the discovery cohort, low LCR (using an optimal cutoff threshold of 14,025) was significantly correlated with poor OS compared with high LCR (P < .001). Multivariate analysis revealed that the biopsy Gleason score and LCR were independent prognostic factors for OS. In the validation cohort, low LCR was also significantly correlated with poor OS compared with high LCR (P = .001). A multivariate analysis revealed that the extent of disease on bone scan grade, lactate dehydrogenase, and LCR were all independent predictors of OS.

CONCLUSIONS

Pretreatment low LCR is an independent predictor of poor OS in mHNPC patients. This may be informative in predicting the susceptible patients' developing worse outcomes after being treated with primary ADT plus first-generation antiandrogen.

Longitudinal change in castration-resistant prostate cancer biomarker AST/ALT ratio reflects tumor progression

We investigated whether aspartate transaminase (AST)-to-alanine aminotransferase (ALT) ratio and its change during the course of treatment in castration-resistant prostate cancer (CRPC) patients is associated with tumor condition and lethality. Clinical data from 130 CRPC patients were retrospectively evaluated. AST/ALT ratios at the time of prostate cancer (PC) diagnosis, androgen deprivation therapy (ADT), CRPC diagnosis, and the final follow-up examination after CRPC treatment were calculated for each. The prognostic capabilities of the AST/ALT ratio for overall survival (OS) were analyzed by use of the Kaplan-Meier method and Cox hazard models. The median AST/ALT ratio at PC diagnosis was 1.517 and the optimal value predicting lethality defined by the receiver operating curve was 1.467. The AST/ALT ratio decreased once during ADT and then elevated in a stepwise manner with cancer progression. In surviving patients, the median AST/ALT ratio at the time of PC diagnosis was 1.423, which did not change longitudinally, whereas that in patients later deceased was significantly higher (1.620) and further elevated after CRPC diagnosis. Kaplan-Meier curves indicated significantly worse OS in patients with an AST/ALT ratio ≥ 1.467, which was confirmed by multivariate analysis. These findings indicate AST/ALT ratio as a prognostic biomarker for CRPC with longitudinal changes reflecting tumor progression.

Development of a Prognostic Model of Overall Survival for Metastatic Hormone-Naïve Prostate Cancer in Japanese Men

Simple Summary

Treatment strategies have changed dramatically in recent years with the development of a variety of agents for metastatic hormone-naïve prostate cancer. There is a need to identify prognostic factors for the appropriate choice of treatment for patients with hormone-naïve prostate cancer in Japanese men. Among the prostate cancer patients receiving treatment at our institution from 2000 to 2019, 198 patients with bone or visceral metastases at the initial diagnosis were included in the study. We retrospectively examined these factors of the overall survival, and identified Gleason pattern 5 content, bone scan index ≥ 1.5, and lactate dehydrogenase evels ≥ 300 IU/L as prognostic factors. Using these three factors, we developed a new prognostic model for overall survival that can more objectively predict the prognosis of patients simply and objectively.

Abstract

Background: Treatment strategies have changed dramatically in recent years with the development of a variety of agents for metastatic hormone-naïve prostate cancer (mHNPC). There is a need to identify prognostic factors for the appropriate choice of treatment for patients with mHNPC, and we retrospectively examined these factors. Methods: Patients with mHNPC treated at our institution from 2000 to 2019 were included in this study. Overall survival (OS) was estimated retrospectively using the Kaplan–Meier method, and factors associated with OS were identified using univariate and multivariate analyses. A prognostic model was then developed based on the factors identified. Follow-up was terminated on 24 October 2021. Results: The median follow-up duration was 44.2 months, whereas the median OS was 85.2 months, with 88 patients succumbing to their disease. Multivariate analysis identified Gleason pattern (GP) 5 content, bone scan index (BSI) ≥ 1.5, and lactate dehydrogenase (LDH) levels ≥ 300 IU/L as prognostic factors associated with OS. We also developed a prognostic model that classified patients with mHNPC as low risk with no factor, intermediate risk with one factor, and high risk with two or three factors. Conclusions: Three prognostic factors for OS were identified in patients with mHNPC, namely GP5 inclusion, BSI ≥ 1.5, and LDH ≥ 300. Using these three factors, we developed a new prognostic model for OS that can more objectively predict patient prognosis.

[De novo or secondary metastatic prostate cancer management in France: Observational study from "sentinel multidisciplinary meeting" of the French Association of Urology]

INTRODUCTION

Metastatic prostate cancer (mPCa) is an heterogeneous disease. Metachronous mPCa (MM) seems to have a better prognosis than synchronous mPCa (SM). However, it is difficult to analyze their specificities from national registries. Data from the so-called "sentinel multidisciplinary meeting" (SMDM) would represent a "real life" data collection. The objective of this national pilot study was to evaluate the concept of SMDM through the description and comparison of the diagnosis, management and follow-up of patients with synchronous or metachronous mPCa in 2018.

METHODS

A survey covering clinical, biological, radiological data as well as treatment initiated and follow-up at 3 and 6 months was sent to the SMDM. All patients diagnosed with metastatic disease (SM or MM) between 01/01/2018 and 11/30/2018 were included.

RESULTS

In total, 780 patients from 39 centers were included, 408 SM and 372 MM. SM were more symptomatic and had a higher metastatic burden than MM. PET were mostly performed in MM without a prior standard staging. SM patients received more chemotherapy than MM patients whereas new generation androgen deprivation therapy was mostly given to MM patients. At 6 months, there were no more significant difference in clinical presentation between the two groups.

CONCLUSION

Specificities of SM and MM patients in terms of clinical presentation, metastatic burden and management were described, validating the concept of SMDM as a source of reliable informations.

LEVEL OF EVIDENCE: 4

Effect of HLA genotype on intravesical recurrence after bacillus Calmette-Guérin therapy for non-muscle-invasive bladder cancer

The intravesical administration of bacillus Calmette-Guérin (BCG) is widely used to control the intravesical recurrence of non-muscle-invasive bladder cancer (NMIBC). This study aimed to reveal the effects of zygosity on human leukocyte antigen (HLA) genes and individual HLA genotypes on intravesical recurrence after intravesical BCG therapy for NMIBC. This study included Japanese patients who had received intravesical BCG for NMIBC. HLA genotyping of HLA-A, B, C, and DRB1 was performed. The effect of HLA zygosity and HLA genotype on intravesical recurrence was evaluated. Among 195 patients, those homozygous for the HLA-B supertype were more likely than those heterozygous for the HLA-B supertype to experience intravesical recurrence by univariate analysis (hazard ratio [HR], 95% confidence interval [CI]; 1.87, 1.14-3.05, P = 0.012) and multivariate analysis (HR, 95% CI; 2.26, 1.02-5.01, P = 0.045). Patients with B07 or B44 had a decreased risk of intravesical recurrence by univariate analysis (HR, 95% CI; 0.43, 0.24-0.78, P = 0.0056) and multivariate analysis (HR, 95% CI; 0.36, 0.16-0.82, P = 0.016). This study suggests the importance of the diversity and specificity of HLA-B loci in the antitumor effect of BCG immunotherapy for NMIBC. These findings may contribute to the delineation of risk strata for BCG therapy and improve the medical management of NMIBC.

Novel metastatic burden-stratified risk model in de novo metastatic hormone-sensitive prostate cancer

The metastatic burden is a critical factor for decision-making in the treatment of metastatic hormone-sensitive prostate cancer (HSPC). This study aimed to develop and validate a novel risk model for survival in patients with de novo low- and high-burden metastatic HSPC. The retrospective observational study included men with de novo metastatic prostate cancer who were treated with primary androgen-deprivation therapy at 30 institutions across Japan between 2008 and 2017. We created a risk model for overall survival (OS) in the discovery cohort (n = 1449) stratified by the metastatic burden (low vs high) and validated its predictive ability in a separate cohort (n = 951). Based on multivariate analyses, lower hemoglobin levels, higher Gleason grades, and higher clinical T-stage were associated with poor OS in low-burden disease. Meanwhile, lower hemoglobin levels, higher Gleason grade group, liver metastasis, and higher extent of disease scores in bone were associated with poor OS in patients with high-burden disease. In the discovery and validation cohorts, the risk model using the aforementioned parameters exhibited excellent discriminatory ability for progression-free survival and OS. The predictive ability of this risk model was superior to that of previous risk models. Our novel metastatic burden-stratified risk model exhibited excellent predictive ability for OS, and it is expected to have several clinical uses, such as precise prognostic estimation.