PI-RADS v2 and periprostatic fat measured on multiparametric magnetic resonance imaging can predict upgrading in radical prostatectomy pathology amongst patients with biopsy Gleason score 3 + 3 prostate cancer

Predictors of Gleason Grading Group Upgrading in Low-Risk Prostate Cancer Patients From Transperineal Biopsy After Radical Prostatectomy

RATIONALE AND OBJECTIVES

To investigate the predictors of Gleason Grading Group (GGG) upgrading in low-risk prostate cancer (Gleason score=3 + 3) from transperineal biopsy after radical prostatectomy (RP).

MATERIALS AND METHODS

The clinical data of 160 patients who underwent transperineal biopsy and RP from January 2017 to December 2022 were retrospectively analyzed. First, univariate and multivariate logistic regression analysis were used to obtain independent predictors of postoperative GGG upgrading. Then receiver operating characteristic curve was used to evaluate the diagnostic efficacy of predictors. Finally, Linear-by-Linear Association test was used to analyze the risk trends of patients in different predictor groups in the postoperative GGG.

RESULTS

In this study, there were 81 cases (50.6%) in the GGG concordance group and 79 cases (49.4%) in the GGG upgrading group. Univariate analysis showed age, free/total prostate-specific antigen (f/tPSA), proportion of positive biopsies, positive target of magnetic-resonance imaging (MRI) and positive target of contrast-enhanced ultrasound had significant effects on GGG upgrading (all P < .05). In multivariate logistic regression analysis, age (odds ratio [OR]=1.066, 95%CI=1.007-1.127, P = .027), f/tPSA (OR=0.001, 95%CI=0-0.146, P = .001) and positive target of MRI (OR=3.005, 95%CI=1.353-76.674, P = .007) were independent predictors. The prediction model (area under curve=0.751 P < .001) had higher predictive efficacy than all independent predictors. The proportion of patients in exposed group of different GGG increased with the level of GGG, but decreased in nonexposed group, and the linear trend was significantly different (all P < .001).

CONCLUSION

Age, f/tPSA, and positive target of MRI were independent predictors of postoperative GGG upgrading. The predictive model constructed had the best diagnostic efficacy.

Comparing histology between prostate cognitive fusion targeted biopsy and radical prostatectomy: exploring risk factors of Gleason score upgrading in Chinese patients

PURPOSE

To explore and identify the relevant clinical and pathological predictors leading to biopsy Gleason score upgrading (GSU) in cognitive fusion targeted biopsy (COG-TB) in Chinese patients.

METHODS

Clinical and pathological information of 496 patients who underwent COG-TB and radical prostatectomy (RP) in our hospital from January 2020 to September 2023 were retrospectively compiled and analyzed. In this study, we screened valuable predictors through univariable and multivariable logistic regression analyses and then constructed predictive models. We draw nomograms to visualize the predictive models. In addition, the discriminatory power of the model was assessed using receiver operating characteristic (ROC) curves. Finally, calibration curves and decision curve analysis (DCA) were used to evaluate the predictive power of the model and the net benefits it could deliver.

RESULTS

Out of the 496 patients eligible for the study, 279 had a consistent Gleason score (GS) on biopsy and postoperative GS, 191 experienced GSU, and 26 experienced downgrading. Significant associations for GSU were identified for five risk factors through multivariable logistic regression analyses, which included age, prostate volume, BMI, tumor percentage in biopsy tissue, and tumor location. Our model had excellent discriminatory power through ROC analysis. Calibration curves and DCA showed that our model was well calibrated and provided certain benefits for patient treatment decisions.

CONCLUSION

Age, prostate volume, BMI, tumor percentage in biopsy tissue, and tumor location are risk indicators for predicting GSU in COG-TB. Our prediction model is more suitable for Chinese patients and can assist in accurately evaluating biopsy GS and developing effective treatment plans.

Plasma IL-6 and TNF-α levels correlate significantly with grading changes in localized prostate cancer

PURPOSE

To study the effect of inflammatory markers in blood such as interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) on the Gleason score (GS) changes in patients with prostate cancer (PCa) after radical prostatectomy (RP), we conducted this study.

PATIENTS AND METHODS

From November 2012 to September 2021, a total of 237 patients underwent RP at our institution. Blood samples from all patients were collected within 1 week before surgery. Preoperative clinical characteristics include age, serum IL-6 and TNF-α, neutrophil-to-lymphocyte ratio, C-reactive protein, the platelet-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, systemic immune-inflammation index, the prostate imaging reporting and data system (PI-RADS) score, prostate-specific antigen, and biopsy GS were assessed. Univariate and multivariate logistic regression analyzes were used to determine the risk factors of GS changes after RP. The efficiency of this prediction model was identified with the area under the curve of the receiver operating characteristic curve.

RESULTS

Seventy-three patients (30.8%) had GS upgraded in the overall cohort, and 55 patients (23.2%) had GS downgraded. In comparing PCa patients with and without GS upgraded, multivariate logistic regression analysis showed that serum TNF-α (odds ratio [OR]: 2.518, p = 0.019) and IL-6 (OR: 0.478, p = 0.023) were independent factors predicting the occurrence of GS upgrade. We also compared the characteristics of patients with GS upgraded and GS downgraded; multivariate logistic regression analysis also demonstrated significant differences in serum IL-6 and TNF-α between these two groups (all p < 0.05). In addition, we found that low prostate volume and biopsy GS ≥ 7 were significantly associated with higher PI-RADS sores in multivariate analysis.

CONCLUSION

The high expression of serum TNF-α level is positively correlated with GS upgraded in PCa patients. High expression of serum IL-6 level is negatively correlated with GS upgraded in PCa patients and positively related with GS downgraded.

Evaluation of multiparametric prostate magnetic resonance imaging findings in patients with a Gleason score of 6 in transrectal ultrasonography-guided biopsy

Purpose

We aimed to evaluate prostate multiparametric magnetic resonance imaging (mpMRI) findings of patients with a Gleason score (GS) of 6 and effectiveness of MRI based on the final pathology result in patients undergoing radical prostatectomy (RP).

Material and methods

mpMRI findings of 80 patients who had a GS of 3 + 3 and who underwent mpMRI were evaluated retrospectively. The mpMRI were scored according to the PIRADS v2.1 guidelines. The patients were divided into those with a high probability of clinically significant cancer (CSC) (PI-RADS 4-5) and those with a low probability of CSC (PI-RADS 2-3).

Results

Of the 80 patients, 33.8% had PI-RADS 2-3, and 66.2% had PI-RADS 4-5 lesions. There was a significant difference between the groups in prostate specific antigen (PSA) value, PSA density, patient age, and tumour percentage on biopsy. When the pathology results were taken as the gold standard in the group that underwent RP, sensitivity, specificity, and accuracy of mpMRI were calculated as 94.74%, 100%, and 96.3%, respectively, an increase in the final GS was found in 9 (33.3%) of the 27 patients, and 70.35% of patients were identified as having CSC.

Conclusions

PI-RADS 4-5 scores have high sensitivity and negative predictive value in the diagnosis of CSC. mpMRI is a reliable and non-invasive diagnostic method that can complement biopsy results in decision-making in patients who are initially evaluated as low risk.

Analysis of risk factors for Gleason score upgrading after radical prostatectomy in a Chinese cohort

Background

To study the risk factors of Gleason score upgrading (GSU) after radical prostatectomy (RP) in a Chinese cohort.

Methods

The data of 637 patients who underwent prostate biopsy and RP in our hospital from January 2014 to January 2021 were retrospectively analyzed. The age, body mass index (BMI), prostate‐specific antigen (PSA) level, testosterone (TT) level, neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte ratio (PLR), eosinophil‐to‐lymphocyte ratio (ELR), aspartate aminotransferase/alanine transaminase (AST/ALT) ratio, clinical stage, the biopsy method, and pathological characteristics of specimens after biopsy and RP were collected for all patients. Univariate analysis and multivariate logistic regression analysis were used to analyze the risk factors of GSU after RP. The predictive efficacy was verified with the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. We performed the analysis separately in the overall cohort and in the cohort with Gleason score (GS) = 6.

Results

In the overall cohort, 177 patients (27.79%) had GSU, and in the GS = 6 cohort, 68 patients (60.18%) had GSU. Multivariate logistic regression analysis showed that in the overall cohort, clinical stage ≥T2c (OR = 3.201, p < 0.001), the number of positive cores ≥3 (OR = 0.435, p = 0.04), and positive rate of biopsy (OR = 0.990, p = 0.016) can affect whether GS is upgraded, and the AUC of the combination of the three indicators for predicting the occurrence of GSU was 0.627. In the GS = 6 cohort, multivariate logistic regression analysis showed that clinical stage ≥T2c (OR = 4.690, p = 0.001) was a risk factor for GSU, and the AUC predicted to occur GSU is 0.675.

Conclusion

Clinical stage ≥T2c, the number of positive cores <3, and lower positive rate of biopsy are the risk factors of GSU. This study may provide some references for clinicians to judge the accuracy of biopsy pathological grading and formulate treatment strategies, but the specific effect still needs clinical practice certification.

Clinical Significance of Multiparametric Magnetic Resonance Imaging as a Preoperative Predictor of Oncologic Outcome in Very Low-Risk Prostate Cancer

Currently, multiparametric magnetic resonance imaging (mpMRI) is not an indication for patients with very low-risk prostate cancer. In this study, we aimed to evaluate the usefulness of mpMRI as a diagnostic tool in these patients. We retrospectively analyzed the clinical and pathological data of individuals with very low-risk prostate cancer, according to the NCCN guidelines, who underwent mpMRI before radical prostatectomy at our institution between 2010 and 2016. Patients who did not undergo pre-evaluation with mpMRI were excluded. We analyzed the factors associated with biochemical recurrence (BCR) using Cox regression model, logistic regression analysis, and Kaplan–Meier curve. Of 253 very low-risk prostate cancer patients, we observed 26 (10.3%) with BCR during the follow-up period in this study. The median follow-up from radical prostatectomy was 53 months (IQR 33–74). The multivariate Cox regression analyses demonstrated that the only factor associated with BCR in very low-risk patients was increase in the pathologic Gleason score (GS) (HR: 2.185, p-value 0.048). In addition, multivariate logistic analyses identified prostate specific antigen (PSA) (OR: 1.353, p-value 0.010), PSA density (OR: 1.160, p-value 0.013), and suspicious lesion on mpMRI (OR: 1.995, p-value 0.019) as the independent preoperative predictors associated with the pathologic GS upgrade. In our study, the pathologic GS upgrade after radical prostatectomy in very low-risk prostate cancer patients demonstrated a negative impact on BCR and mpMRI is a good prognostic tool to predict the pathologic GS upgrade. We believe that the implementation of mpMRI would be beneficial to determine the treatment strategy for these patients.