Revision of CHAARTED and LATITUDE criteria among Japanese de novo metastatic prostate cancer patients

The Impact of Radiotherapy on the Primary Tumor in Patients with Metastatic High-Volume Castration-Sensitive Prostate Cancer: A Propensity Score Matching Analysis

Background: Retrospective studies suggest that local radiotherapy on the prostate improves overall survival in the metastatic setting, but its benefit in patients with high-burden metastatic disease is still uncertain. Methods: We conducted a retrospective study of 100 high-metastatic-burden prostate cancer patients at Hadassah Ein Karem Medical Center from 2004 to 2021. Patients receiving local RT alongside standard treatment were compared to those receiving standard treatment alone. Prostate RT involved EBRT to the prostate/seminal vesicles with/without pelvic lymph nodes, delivering 54-60 Gy in up to 3 Gy fractions. The standard treatment used was ADT including or excluding chemotherapy. Subsequently, we performed 1:1 propensity score matching on 50 patients for further analysis. Results: The cohort had 100 patients split evenly between the RT and NRT groups. The RT group had higher Overall Survival than NRT (p < 0.046), remaining significant after Propensity Score Matching (PSM) (p < 0.034). Biochemical progression-free survival was also higher in RT vs. NRT (p < 0.033), maintaining significance after PSM (p < 0.042). RT patients reported longer symptom-free time vs. NRT (p < 0.017), though this difference did not persist post-PSM (p < 0.249). Post-PSM analysis showed higher loco-regional progression-free survival in the RT group vs. NRT (p < 0.049). Conclusions: Our study shows improved overall survival in the high-metastatic-burden group when adding RT to the standard treatment of choice, which persists after propensity score matching. The RT group in the entire cohort also demonstrated a reduction in progressing urinary symptoms and biochemical progression-free survival. These findings highlight radiotherapy's potential as a viable treatment in these patients. However, prospective studies with comprehensive data collection are needed to fully address this topic.

Survival of patients with lymph node versus bone versus visceral metastases according to CHAARTED/LATITUDE criteria in the era of intensified combination therapies for metastatic hormone-sensitive prostate cancer

BACKGROUND

The first approvals of novel systemic therapies within recent years for metastatic hormone-sensitive (mHSPC) were mainly based on improved overall survival (OS) and time to castration resistance (ttCRPC) in mHSPC patients stratified according to CHAARTED low (LV) versus high volume (HV) and LATITUDE low (LR) versus high-risk (HR) disease.

METHODS

Relying on our institutional tertiary-care database we identified all mHSPC stratified according to CHAARTED LV versus HV, LATITUDE LR versus HR and the location of the metastatic spread (lymph nodes (M1a) versus bone (M1b) versus visceral/others (M1c) metastases. OS and ttCRPC analyses, as well as Cox regression models were performed according to different metastatic categories.

RESULTS

Of 451 mHSPC, 14% versus 27% versus 48% versus 12% were classified as M1a LV versus M1b LV versus M1b HV versus M1c HV with significant differences in median OS: 95 versus 64 versus 50 versus 46 months (p < 0.001). In multivariable Cox regression models HV M1b (Hazard Ratio: 2.4, p = 0.03) and HV M1c (Hazard Ratio: 3.3, p < 0.01) harbored significant worse than M1a LV mHSPC. After stratification according to LATITUDE criteria, also significant differences between M1a LR versus M1b LR versus M1b HR versus M1c HR mHSPC patients were observed (p < 0.01) with M1b HR (Hazard Ratio: 2.7, p = 0.03) and M1c HR (Hazard Ratio: 3.5, p < 0.01), as predictor for worse OS. In comparison between HV M1b and HV M1c, as well as HR M1b versus HR M1c no differences in ttCRPC or OS were observed.

CONCLUSIONS

Significant differences exist between different metastatic patterns of HV and LV and HR and LR criteria. Best prognosis is observed within M1a LV and LR mHSPC patients.

PSA doubling time 4.65 months as an optimal cut-off of Japanese nonmetastatic castration-resistant prostate cancer

A multicenter study of nonmetastatic castration-resistant prostate cancer (nmCRPC) was conducted to identify the optimal cut-off value of prostate-specific antigen (PSA) doubling time (PSADT) that correlated with the prognosis in Japanese nmCRPC. Of the 515 patients diagnosed and treated for nmCRPC at 25 participating Japanese Urological Oncology Group centers, 450 patients with complete clinical information were included. The prognostic values of clinical factors were evaluated with respect to prostate specific antigen progression-free (PFS), cancer-specific survival (CSS), and overall survival (OS). The optimal cutoff value of PSADT was identified using survival tree analysis by Python. The Median PSA and PSADT at diagnosis of nmCRPC were 3.3 ng/ml, and 5.2 months, respectively. Patients treated with novel hormonal therapy (NHT) showed significantly longer PFS (HR: hazard ratio 0.38, p < 0.0001) and PFS2 (HR 0.45, p < 0.0001) than those treated with vintage nonsteroidal antiandrogen agent (Vintage). The survival tree identified 4.65 months as the most prognostic PSADT cutoff point. Among the clinical and pathological factors PSADT of < 4.65 months remained an independent prognostic factor for OS (HR 2.96, p = 0.0003) and CSS (HR 3.66, p < 0.0001). Current data represented optimal cut-off of PSADT 4.65 months for a Japanese nmCRPC.

Machine-learning predicts time-series prognosis factors in metastatic prostate cancer patients treated with androgen deprivation therapy

Machine learning technology is expected to support diagnosis and prognosis prediction in medicine. We used machine learning to construct a new prognostic prediction model for prostate cancer patients based on longitudinal data obtained from age at diagnosis, peripheral blood and urine tests of 340 prostate cancer patients. Random survival forest (RSF) and survival tree were used for machine learning. In the time-series prognostic prediction model for metastatic prostate cancer patients, the RSF model showed better prediction accuracy than the conventional Cox proportional hazards model for almost all time periods of progression-free survival (PFS), overall survival (OS) and cancer-specific survival (CSS). Based on the RSF model, we created a clinically applicable prognostic prediction model using survival trees for OS and CSS by combining the values of lactate dehydrogenase (LDH) before starting treatment and alkaline phosphatase (ALP) at 120 days after treatment. Machine learning provides useful information for predicting the prognosis of metastatic prostate cancer prior to treatment intervention by considering the nonlinear and combined impacts of multiple features. The addition of data after the start of treatment would allow for more precise prognostic risk assessment of patients and would be beneficial for subsequent treatment selection.

The Role of C-Reactive Protein in the Prognosis of Prostate Cancer: A Meta-Analysis

Objective

To investigate the role of C-reactive protein (CRP) in the prognosis of prostate cancer (PCa).

Methods

The studies related to C-reactive protein and prostate cancer were searched by computer, including PubMed and Web of Science. The retrieval time was from the establishment of the database to August 2022. QUADAS score was employed to assess the studies' quality, funnel plot was employed to analyze the bias of the included studies, and RevMan and STATA statistical software programs were used to draw forest maps to represent the analysis results.

Results

In the initial examination, 432 articles were obtained. After removing the duplicate articles, reading the abstract and theme, and then reading the full text, 12 articles finally met the inclusion criteria. The results revealed that serum C-reactive protein (CRP) levels were associated with overall survival (OS) in patients with PCa (OR = 1.47 [1.19, 1.82], P < 0.05), and patients with high CRP levels had an increased risk of developing prostate cancer (HR = 0.26, 95% CI: 0.23, 0.29). However, there was no obvious difference in circulating CRP levels between patients with prostate cancer and healthy controls (P > 0.05).

Conclusions

CRP levels are associated with PCa patients' OS. High CRP levels have an elevated incidence of PCa, but there was no obvious distinction in circulating CRP levels between patients with prostate cancer and healthy controls. Therefore, C-reactive protein has certain reference value for judging the prognosis of prostate cancer.

Development and validation of a novel risk model in newly diagnosed de novo bone metastatic prostate cancer (M1b): a retrospective study

Background

Previous studies suggested that bone metastasis has a significant effect on the time of progression to metastatic castration-resistant prostate cancer (CRPC) for newly diagnosed de novo bone metastatic hormone-sensitive prostate cancer (mHSPC). Nevertheless, the effect of different bone metastasis sites was not fully evaluated. This study aimed to develop and validate a novel bone metastatic risk model.

Methods

We enrolled 122 patients who were newly diagnosed with de novo bone metastatic prostate cancer following primary androgen deprivation based therapy at our institution from January 2008 to June 2021. The metastatic bone sites were classified into six sites: skull; cervical, thoracic, and lumbar vertebrae; chest (ribs and sternum); pelvis; upper limbs; and lower limbs. We calculated the bone metastatic score (BMS) for each site: 0 points were assigned for non-metastasis and 1 point was assigned for metastasis. The X-tile was adopted to acquire optimal cutoff points of BMS. We defined high-risk group (HRG) as BMS ≥ 3 and low-risk group (LRG) as BMS < 3. The new bone risk stratification was validated by calculating the area under the receiver operating characteristic curve (AUC). Subsequently, the relevant clinical prognostic variables were added to construct a predictive nomogram for predicting CRPC.

Results

The median patient age was 73 years. Most patients had Gleason score ≤8 (93 cases, 76.2%). The median follow-up duration was 11.5 months (range: 2-92 months). Eighty-six patients progressed to CRPC during the follow-up. The most common bone metastatic site was the pelvis (90.2%). The median BMS was 4. Seventy-six patients had HRG, while forty-six had LRG. The 1-, 2-, and 3-year AUCs for H/LRG were 0.620, 0.754, and 0.793, respectively. The HRG was associated with earlier time to CRPC. A nomogram based on four parameters (Gleason score, H/LRG, prostate-specific antigen [PSA] nadir, and time to PSA nadir) was developed to predict CRPC. Internal validation using bootstrapping demonstrated good accuracy for predicting the CRPC (C-index: 0.727). The calibration analysis demonstrated that the model performed well.

Conclusion

We established a novel H/LRG risk model for newly diagnosed de novo bone metastatic prostate cancer, which provided evidence to support clinical decision-making.