Patient-centred pathology reporting improves patient experience and understanding of disease in prostate cancer care

Introduction and Objectives

Patient-centred (PC) and holistic care improves patient satisfaction and health outcomes. We sought to investigate the benefit of utilising a PC pathology report in patients undergoing radical prostatectomy (RP) for prostate cancer (PCa). Our study aimed to evaluate and compare patient understanding of their PCa diagnosis after RP, upon receiving either a standard histopathology report or a personalised and PC report (PCR). Moreover, we evaluated knowledge retention at 4 weeks after the initial consultation.

Methods

We invited patients undergoing RP at three metropolitan Urology clinics to participate in our randomised controlled study. Patients were randomised to receive either a PCR or standard pathology report. Patient satisfaction questionnaires (Perceived Efficacy in Patient-Physician Interactions [PEPPI], Consultation and Relational Empathy [CARE] and Communication Assessment Tool [CAT]) and a knowledge test were conducted within 72 h of the initial appointment and again at 4 weeks. Accurate recollection of Gleason grade group (GGG) and extracapsular extension (ECE) were classified as 'correct'. Baseline demographic data included age, education, marital and employment status, pre-op prostate specific antigen (PSA) and clinical stage. Baseline data were tested for differences between groups using the Student's t test, chi-squared test or Fisher's exact test depending on whether data were continuous, categorical or sparse. Comparison of correctly answered 'knowledge' questions was analysed using chi-squared test. A significance level of p ≤ 0.05 was used.

Results

Data from 62 patients were analysed (30 standard vs. 32 PCR). No significant differences in baseline demographics were found between groups. Both groups reported high levels of satisfaction with their healthcare experiences in all domains of patient-physician rapport, empathy and communication. There were no significant differences between groups in PEPPI (p = 0.68), CAT (p = 0.39) and CARE (p = 0.66) scores, at baseline and 4 weeks. Ninety-three per cent of patients who received the PCR understood the report while 90% felt the report added to their understanding of their PCa. Regarding patient knowledge, the PCR group had significantly more correct answers on GGG and ECE as compared with the standard report group at baseline and 4 weeks (p < 0.001 and 0.001, respectively).

Conclusions

Our findings demonstrate that PC pathology reports improve patient knowledge and understanding of their PCa that is retained for at least 4 weeks after initial receipt of results.

MRI Radiomics-Based Machine Learning Models for Ki67 Expression and Gleason Grade Group Prediction in Prostate Cancer

PURPOSE

The Ki67 index and the Gleason grade group (GGG) are vital prognostic indicators of prostate cancer (PCa). This study investigated the value of biparametric magnetic resonance imaging (bpMRI) radiomics feature-based machine learning (ML) models in predicting the Ki67 index and GGG of PCa.

METHODS

A total of 122 patients with pathologically proven PCa who had undergone preoperative MRI were retrospectively included. Radiomics features were extracted from T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) maps. Then, recursive feature elimination (RFE) was applied to remove redundant features. ML models for predicting Ki67 expression and GGG were constructed based on bpMRI and different algorithms, including logistic regression (LR), support vector machine (SVM), random forest (RF), and K-nearest neighbor (KNN). The performances of different models were evaluated with receiver operating characteristic (ROC) analysis. In addition, a joint analysis of Ki67 expression and GGG was performed by assessing their Spearman correlation and calculating the diagnostic accuracy for both indices.

RESULTS

The ML model based on LR and ADC + T2 (LR_ADC + T2, AUC = 0.8882) performed best in predicting Ki67 expression, and ADC_wavelet-LHH_firstorder_Maximum had the highest feature weighting. The SVM_DWI + T2 (AUC = 0.9248) performed best in predicting GGG, and DWI_wavelet HLL_glcm_SumAverage had the highest feature weighting. The Ki67 and GGG exhibited a weak positive correlation (r = 0.382, p < 0.001), and LR_ADC + DWI had the highest diagnostic accuracy in predicting both (0.6230).

CONCLUSION

The proposed ML models are suitable for predicting both Ki67 expression and GGG in PCa. This algorithm could be used to identify indolent or invasive PCa with a noninvasive, repeatable, and accurate diagnostic method.

Peritumoral Radiomics Strategy Based on Ensemble Learning for the Prediction of Gleason Grade Group of Prostate Cancer

RATIONALE AND OBJECTIVES

To develop and evaluate a peritumoral radiomic-based machine learning model to differentiate low-Gleason grade group (L-GGG) and high-GGG (H-GGG) prostate lesions.

MATERIALS AND METHODS

In this retrospective study, a total of 175 patients with prostate cancer (PCa) confirmed by puncture biopsy were recruited and included 59 patients with L-GGG and 116 patients with H-GGG. The original PCa regions of interest (ROIs) were delineated on T2-weighted (T2WI), diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) maps, and then centra-tumoral and peritumoral ROIs were defined. Features were meticulously extracted from each ROI to establish radiomics models, employing distinct sequence datasets. Peritumoral radiomics models were specifically developed for both the peripheral zone (PZ) and transitional zone (TZ), utilizing dedicated PZ and TZ datasets, respectively. The performances of the models were evaluated by using the receiver operating characteristic (ROC) curve and precision-recall curve.

RESULTS

The classification model with combined peritumoral features based on T2 + DWI + ADC sequence dataset demonstrated superior performance compared to the original tumor and centra-tumoral classification models. It achieved an area under the ROC curve (AUC) of 0.850 [95% confidence interval, 0.849, 0.860] and an average accuracy of 0.950. The combined peritumoral model outperformed the regional peritumoral models with AUC of 0.85 versus 0.75 for PZ lesions and 0.88 versus 0.69 for TZ lesions, respectively. The peritumoral classification models exhibit greater efficacy in predicting PZ lesions as opposed to TZ lesions.

CONCLUSION

The peritumoral radiomics features showed excellent performance in predicting GGG in PCa patients and might be a valuable addition to the non-invasive assessment of PCa aggressiveness.

The prognostic value of 18F-PSMA-1007 PET/CT in predicting pathological upgrading of newly diagnosed prostate cancer from systematic biopsy to radical prostatectomy

Objective

This study aimed to evaluate predictors for upgrading of newly diagnosed prostate cancer from systematic biopsy (SB) to radical prostatectomy (RP) using fluorine-18 prostate-specific membrane antigen 1007 (¹⁸F-PSMA-1007) positron emission tomography/computed tomography (PET/CT) and association with clinical parameters.

Materials and methods

We retrospectively collected data from biopsy-confirmed prostate cancer (PCa) patients who underwent ¹⁸F-PSMA-1007 PET/CT prior to RP from July 2019 and October 2022. Imaging characteristics derived from ¹⁸F-PSMA-1007 PET/CT and clinical parameters were compared in patients of pathological upgrading and concordance subgroups. Univariable and multivariable logistic regressions were performed to analyze factors predicting histopathological upgrading from SB to RP specimens. Discrimination ability of independent predictors was further evaluated by receiver operating characteristic (ROC) analysis with corresponding area under the curve (AUC).

Results

Pathological upgrading occurred in 26.97% (41/152) PCa patients, and 23.03% (35/152) of all patients experienced pathological downgrading. Concordance rate reached 50% (76/152). International Society of Urological Pathology grade group (ISUP GG) 1(77.78%) and ISUP GG 2 (65.22%) biopsies were related with the highest rate of upgrading. Multivariable logistic regression analyses showed that prostate volume (OR= 0.933; 95% CI, 0.887-0.982; p = 0.008), ISUP GG 1 vs. 4 (OR= 13.856; 95% CI: 2.467-77.831; p = 0.003), and total uptake of PSMA-avid lesions (PSMA-TL) (OR = 1.003; 95% CI, 1.000-1.006; p = 0.029) were found to be independent risk factors of pathological upgrading after RP. The AUCs and corresponding sensitivity and specificity of the independent predictors of synthesis for upgrading were 0.839, 78.00%, and 83.30% respectively, which showed good discrimination capacity.

Conclusion

¹⁸F-PSMA-1007 PET/CT may help to predict pathological upgrading between biopsy and RP specimens, particularly for ISUP GG 1 and ISUP GG 2 patients with higher PSMA-TL and smaller prostate volume.

Determination of Whether Apex or Non-Apex Prostate Cancer Is the Best Candidate for the Use of Prostate-Specific Antigen Density to Predict Pathological Grade Group Upgrading and Upstaging after Radical Prostatectomy

Objective: Previous studies have demonstrated that prostate-specific antigen density (PSAD) may aid in predicting Gleason grade group (GG) upgrading and pathological upstaging in patients with prostate cancer (PCa). However, the differences and associations between patients with apex prostate cancer (APCa) and non-apex prostate cancer (NAPCa) have not been described. The aim of this study was to explore the different roles of PSAD in predicting GG upgrading and pathological upstaging between APCa and NAPCa. Patients and Methods: Five hundred and thirty-five patients who underwent prostate biopsy followed by radical prostatectomy (RP) were enrolled. All patients were diagnosed with PCa and classified as either APCa or NAPCa. Clinical and pathological variables were collected. Univariate, multivariate, and receiver operating characteristic (ROC) analyses were performed. Results: Of the entire cohort, 245 patients (45.8%) had GG upgrading. Multivariate analysis revealed that only PSAD (odds ratio [OR]: 4.149, p < 0.001) was an independent, significant predictor of upgrading. A total of 262 patients (49.0%) had pathological upstaging. Both PSAD (OR: 4.750, p < 0.001) and percentage of positive cores (OR: 5.108, p = 0.002) were independently significant predictors of upstaging. Of the 374 patients with NAPCa, 168 (44.9%) displayed GG upgrading. Multivariate analysis also showed PSAD (OR: 8.176, p < 0.001) was an independent predictor of upgrading. Upstaging occurred in 159 (42.5%) patients with NAPCa, and PSAD (OR: 4.973, p < 0.001) and percentage of positive cores (OR: 3.994, p = 0.034) were independently predictive of pathological upstaging. Conversely, of the 161 patients with APCa, 77 (47.8%) were identified with GG upgrading, and 103 (64.0%) patients with pathological upstaging. Multivariate analysis demonstrated that there were no significant predictors, including PSAD, for predicting GG upgrading (p = 0.462) and pathological upstaging (p = 0.100). Conclusions: PSAD may aid in the prediction of GG upgrading and pathological upstaging in patients with PCa. However, this may only be practical in patients with NAPCa but not with APCa. Additional biopsy cores taken from the prostatic apex region may help improve the accuracy of PSAD in predicting GG upgrading and pathological upstaging after RP.

The prevalence and risk factors of upgrading of Gleason grade group between transrectal ultrasound prostate biopsy and prostatectomy specimens

Background

The risk stratification of prostate cancer using Gleason grade group (GG), serum prostate-specific antigen (PSA), and T staging has an important role for appropriate treatment. In fact, the GG of biopsy was not the same as the prostatectomy specimen. The upgrading of GG has a significant risk of delay treatment. The study aims to evaluate the concordance of GG between biopsy and prostatectomy specimens and the factors of upgrading GG.

Materials and Methods

Retrospectively reviewed data from January 2010 to December 2019, 137 patients underwent prostate biopsy and followed by prostatectomy. Patients' data include pathological reports, imaging reports, serum PSA, PSA density (PSAD), and free PSA were analyzed by univariate and multivariate analysis.

Results

The concordance between the pathology was found in 54 specimens (39.4%) with the upgrading of GG in the prostatectomy was 57 specimens (41.6%). Furthermore, the downgrading was 26 specimens (18.9%). Serum PSA >10 ng/ml (P 0.003), PSAD >0.2 ng/ml/cm3 (P 0.002), free/total PSA ratio (P 0.003), margin positive for malignancy (P 0.033), and extraprostatic involvement (P 0.039) were significantly related with upgrading at the univariate analysis. Only a PSAD >0.2 (P 0.014) was found to be an independent factor that is predictive of upstaging in multivariate analysis.

Conclusions

The prevalence of upgrading of GG from prostate biopsy to radical prostatectomy is as high as the other study. The factor that related to upstaging of GG was PSAD. Therefore, additional tools for biopsy were required to enhance the accurate diagnosis and staging of prostate cancer.

Combination MRI-targeted and systematic prostate biopsy may overestimate gleason grade on final surgical pathology and impact risk stratification

PURPOSE

Gleason grade (GG) on prostate biopsy is important for risk stratification and clinical decision making. Multiparametric MRI (mpMRI) improved detection of clinically significant disease and some studies suggest that MRI-fusion biopsy combined with systematic biopsy results in fewer upgrades on final surgical pathology. However, the downgrade rate is unclear and there is controversy in the literature. The objectives of this study are to assess the concordance of combination biopsy with final surgical pathology, and furthermore, to specifically determine downgrade rates.

MATERIALS AND METHODS

In our institutional mpMRI-ultrasound fusion biopsy database, 173 underwent targeted and systematic biopsy followed by radical prostatectomy (RP). GG on targeted, systematic and combination (targeted and systematic) biopsy were compared with GG on RP. Concordance rates between biopsy types were compared with the McNemar test. Proportion of GG upgrade or downgrade at the time of RP was also evaluated.

RESULTS

Surgical pathology was concordant with 44.5% of systematic biopsies, 46.8% of targeted biopsies, and 56.7% of combination biopsies. Combination biopsy significantly overestimated the final GG on RP compared to systematic biopsy (16.8% vs. 8.7% RR 1.93, 95% CI 1.36-2.75, P < 0.001). Downgrade rate from unfavorable to favorable intermediate-risk disease was 46.2%, and from high-risk to intermediate-risk disease was 45.1%.

CONCLUSIONS

Combination (targeted and systematic) biopsy is associated with the highest concordance rate between biopsy and RP pathology when compared with systematic or targeted biopsy alone. However, targeting MRI lesions and therefore the higher risk components, may at times overestimate the final surgical pathology which can result in overtreatment of what may truly be less aggressive disease.

Increasing rates of NCCN high and very high-risk prostate cancer versus number of prostate biopsy cores

BACKGROUND

Recently, an increase in the rates of high-risk prostate cancer (PCa) was reported. We tested whether the rates of and low, intermediate, high and very high-risk PCa changed over time. We also tested whether the number of prostate biopsy cores contributed to changes rates over time.

METHODS

Within the Surveillance, Epidemiology and End Results (SEER) database (2010-2015), annual rates of low, intermediate, high-risk according to traditional National Comprehensive Cancer Network (NCCN) and high versus very high-risk PCa according to Johns Hopkins classification were tabulated without and with adjustment for the number of prostate biopsy cores.

RESULTS

In 119,574 eligible prostate cancer patients, the rates of NCCN low, intermediate, and high-risk PCa were, respectively, 29.7%, 47.8%, and 22.5%. Of high-risk patients, 39.6% and 60.4% fulfilled high and very high-risk criteria. Without adjustment for number of prostate biopsy cores, the estimated annual percentage changes (EAPC) for low, intermediate, high and very high-risk were respectively -5.5% (32.4%-24.9%, p < .01), +0.5% (47.6%-48.4%, p = .09), +4.1% (8.2%-9.9%, p < .01), and +8.9% (11.8%-16.9%, p < .01), between 2010 and 2015. After adjustment for number of prostate biopsy cores, differences in rates over time disappeared and ranged from 29.8%-29.7% for low risk, 47.9%-47.9% for intermediate risk, 8.9%-9.0% for high-risk, and 13.6%-13.6% for very high-risk PCa (all p > .05).

CONCLUSIONS

The rates of high and very high-risk PCa are strongly associated with the number of prostate biopsy cores, that in turn may be driven by broader use magnetic resonance imaging (MRI).

A second opinion pathology review improves the diagnostic concordance between prostate cancer biopsy and radical prostatectomy specimens

Objectives:

The Gleason scoring system is an essential tool for determining the treatment strategy in prostate cancer (PCa). However, the Gleason grade group (GGG) often differs between needle-core biopsy (NCB) and radical prostatectomy (RP) specimens. We investigated the diagnostic value of a second opinion pathology review using NCB specimens in PCa.

Materials and Methods:

We retrospectively evaluated 882 patients who underwent robot-assisted RP from January 2012 to September 2019. Of these, patients whose original biopsy specimens were obtained from another hospital and reviewed by the urological pathology expert at our institution were included in the study. Patients who received neoadjuvant hormonal therapy were excluded from the study. Weighted kappa (k) coefficients were used to evaluate the diagnostic accuracy of each review.

Results:

A total of 497 patients were included in this study. Substantial agreement (weighted k = 0.783) in the GGG between initial- and second-opinion diagnoses based on NCB specimens was observed in 310 cases (62.4%). Although diagnoses based on a single opinion showed moderate agreement with the GGG of RP specimens (initial: 35.2%, weighted k = 0.522; second opinion; 38.8%, weighted k = 0.560), matching initial and second opinion diagnoses improved the concordance (42.9%, 133/310 cases) to substantial agreement (weighted k = 0.626).

Conclusions:

A second opinion of PCa pathology helps to improve the diagnostic accuracy of NCB specimens. However, over half of diagnoses that matched between the initial and second opinions differed from the diagnosis of RP specimens.

Radiomic features for prostate cancer grade detection through formal verification

AIM

Prostate cancer represents the most common cancer afflicting men. It may be asymptomatic at the early stage. In this paper, we propose a methodology aimed to detect the prostate cancer grade by computing non-invasive shape-based radiomic features directly from magnetic resonance images.

MATERIALS AND METHODS

We use a freely available dataset composed by coronal magnetic resonance images belonging to 112 patients. We represent magnetic resonance slices in terms of formal model, and we exploit model checking to check whether a set of properties (formulated with the support of pathologists and radiologists) is verified on the formal model. Each property is related to a different cancer grade with the aim to cover all the cancer grade groups.

RESULTS

An average specificity equal to 0.97 and an average sensitivity equal to 1 have been obtained with our methodology.

CONCLUSION

The experimental analysis demonstrates the effectiveness of radiomics and formal verification for Gleason grade group detection from magnetic resonance.

Combined multiple clinical characteristics for prediction of discordance in grade and stage in prostate cancer patients undergoing systematic biopsy and radical prostatectomy

BACKGROUND

The present study aimed to develop three nomograms by incorporating multiple clinical characteristics to identify those prostate cancer (PCa) patients with high probability of incorrect biopsy Gleason grade group (GG) before making treatment decisions.

METHODS

We retrospectively collected data from PCa patients who underwent systematic biopsy and radical prostatectomy from January 2015 to December 2019 at Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology. Univariable and multivariable logistic regression analyses were preformed to identify independent risk factors associated with upgrading, upstaging and downgrading. By incorporating selected clinical parameters with high predictive value, we constructed three nomograms to predict the probability of upgrading, upstaging and downgrading. Discrimination of nomograms was evaluated by receiver operating characteristic (ROC) analysis with corresponding area under the curve (AUC). Decision curve analysis (DCA) and calibration curves were performed to evaluate calibration and the clinical usefulness of nomograms. Performance of the three nomograms was validated in the testing dataset.

RESULTS

There were 585 PCa patients in total enrolled in this study who met the inclusion criteria. Of the 585 patients, the disease of 262 (44.8 %) was upgraded and 68 (11.6 %) was downgraded, and the disease of 67 (11.5 %) was upstaged. With regard to findings of multivariable analyses, patients' age and biopsy GG (GG 2, GG 3, GG 4 versus GG 1) were significantly associated with upgrading. Moreover, maximum diameter of the index lesion (D-max), clinical T stage (cT3a, cT3b versus cT1-2), number of positive cores and total tumor length were significantly associated with upstaging. Furthermore, d-max, %fPSA (> 0.16 versus ≤ 0.16) and biopsy GG (GG 3, GG 4, GG 5 versus GG 2) were independent predictors of downgrading. The three nomograms displayed good calibration in respective calibration plots. ROC analyses showed good discrimination with satisfactory AUC values and DCA plots demonstrated that the upgrading-risk nomogram, upstaging-risk nomogram and downgrading-risk nomogram were all clinically useful.

CONCLUSIONS

The upgrading-risk nomogram, upstaging-risk nomogram, and downgrading-risk nomogram were developed and correctly predicted the probability of incorrect Gleason grade group assigned to patients undergoing systematic biopsy.

PTEN and ERG expression in MRI-ultrasound guided fusion biopsy correlated with radical prostatectomy findings in men with prostate cancer

BACKGROUND

Conventional systematic prostate biopsies (SBx) have multiple limitations, and magnetic resonance imaging (MRI)-ultrasound fusion targeting is increasingly applied (fusion biopsies [FBx]). In our previous studies, we have shown that loss of the tumor suppressor gene phosphatase and tensin homolog (PTEN) in radical prostatectomy (RP) specimens predicts poor disease-specific survival, and in active surveillance (AS), PTEN loss in SBx predicts an adverse AS outcome, although SBx PTEN status does not correlate well with the corresponding RP status. Here, we have hypothesized that PTEN and erythroblast transformation-specific related gene (ERG) status in FBx correlate better with RP than they would in SBx.

METHODS

A total of 106 men, who had undergone FBx and subsequent RP in a single center between June 2015 and May 2017 were included. Fifty-three of the men had concomitant or previous SBx's. All biopsy and RP specimens were collected, and tissue microarrays (TMA) were constructed from RP specimens. Immunohistochemical stainings for PTEN and ERG expression were conducted on biopsies and RP TMAs and results were compared by using Fisher's exact test.

RESULTS

The immunohistochemical predictive power of FBx, determined by the concordance of biopsy PTEN and ERG status with RP, is superior to SBx (77.6% vs 66.7% in PTEN, 92.4% vs 66.6% in ERG). FBx was superior to SBx in correlation with RP Gleason Grade Groups and MRI prostate imaging reporting and data system scores.

CONCLUSION

FBx grading correlates with RP histology and MRI findings and predicts the biomarker status in the RP specimens more accurately than SBx. A longer follow-up is needed to evaluate if this translates to better prediction of disease outcomes, especially in AS and radiation therapy where prostatectomy specimens are not available for prognostication.

Surface-enhanced Raman spectroscopy of preoperative serum samples predicts Gleason grade group upgrade in biopsy Gleason grade group 1 prostate cancer

PURPOSE

To predict Gleason grade group (GG) upgrade in biopsy Gleason grade group 1 (GG1) prostate cancer (CaP) patients using surface-enhanced Raman spectroscopy (SERS).

MATERIALS AND METHODS

Preoperative serum samples of patients with biopsy GG1 and subsequent radical prostatectomy were analyzed using SERS. The role of clinical variables and distinctive SERS spectra in the prediction of GG upgrade were evaluated. Principal component analysis and linear discriminant analysis (PCA-LDA) were used to manage spectral data and develop diagnostic algorithms.

RESULTS

A total of 342 preoperative serum SERS spectra from 114 patients were obtained. SERS detected a higher level of circulating free nucleic acid bases and a lower level of lipids in patients with GG upgrade to GG3 and higher, presenting as SERS spectral peaks of 728 cm^-1 and 1,655 cm^-1, respectively. Both spectral peaks were independent predictors of GG upgrade and their addition to clinical predictors of PSA and positive core percent significantly improved predictive power of the logistic regression model with area under curve improved from 0.65 to 0.80 (P = 0.0045). Meanwhile, PCA-LDA diagnostic model based on serum SERS spectra showed a high accuracy of 91.2% in predicted groups and remained stable with a sensitivity, specificity, and accuracy of 65%, 97.3%, 86.0%, respectively when validated by leave-one-out cross-validation method.

CONCLUSIONS

By analyzing preoperative serum samples, SERS combined with PCA-LDA model could be a promising tool for prediction of Gleason GG upgrade in biopsy GG1 CaP and assist in treatment decision-making in clinical practice.

The Significance of Primary Biopsy Gleason 5 in Patients with Grade Group 5 Prostate Cancer

The five-tier grade group (GG) classification for prostate cancer (PCa) does not differentiate between primary (5+4) or secondary (4+5) histological Gleason 5 pattern in GG 5. We addressed the prognostic value of primary versus secondary biopsy Gleason 5 for GG 5 among 18 555 PCa patients treated with radical prostatectomy (RP) between 1992 and 2014. Of these, 922 patients had GG 5 PCa with primary (n=295) or secondary (n=627) Gleason 5 on biopsy. Prediction of biochemical recurrence (BCR), metastasis, and cancer-specific mortality (CSM) was assessed using Kaplan-Meier curves and univariable/multivariable Cox regression controlling for known prognosticators. Median follow-up was 74.8 mo (interquartile range [IQR] 49.2-120.2). BCR developed in 24.3% of patients (n=4508) at a median of 23.6 mo (IQR 7.1-48.6). Metastasis developed in 4.5% (n=827) and 2.0% (n=370) died of PCa. When stratifying GG 5 by primary versus secondary Gleason 5, the estimated 5-yr metastasis-free survival was 80.4% (95% confidence interval [CI] 76.1-85.0%) versus 86.9% (95% CI 84.2-89.7%; p= 0.002) and cancer-specific survival was 90.9% (95% CI 87.5-94.4%) versus 96.3% (95% CI 94.7-98.0%; p< 0.001). On multivariable analysis, the negative impact of primary biopsy Gleason 5 among GG 5 patients remained significant for metastasis (hazard ratio [HR] 1.58; p< 0.001) and CSM (HR 2.44; p< 0.001). Therefore, stratifying GG 5 into primary (5 + 4, 5 + 5) and secondary (4 + 5) Gleason 5 may be warranted. PATIENT SUMMARY: We recorded worse oncological outcomes for patients with a primary histological Gleason 5 pattern on prostate biopsy compared to patients with a secondary biopsy Gleason 5 pattern.

Increased expression of glycolytic enzymes in prostate cancer tissues and association with Gleason scores

OBJECTIVE

Recent studies have shown that understanding the differences between Gleason 3+4 and Gleason 4+3 in PCa patients may improve their treatment. This study aimed to evaluate the different expression levels of glycolytic proteins for Gleason score of 4+3 and 3+4.

METHODS

A total of 90 PCa patients, including 38 cases with a Gleason score of 7, were included in this study. The expression of glycolytic proteins in both prostate cancer and normal prostate tissues, in GGG2 and GGG3 as well were assessed by immunohistochemical staining.

RESULTS

Compared with GGG3, the GGG2 cases displayed significantly lower expression of all proteins (P < 0.05). The correlation among all enzymes showed that the key glycolytic enzyme, HK2, was significantly positively related to another key enzyme, PKM2 (r = 0.550, P < 0.01), and the expression of PFKFB4 was correlated with the expression of HK2 (r = 0.236, P < 0.05) and PKM2 (r = 0.392, P < 0.01). Additionally, neither GLUT1 nor PFKFB3 was correlated with PFKFB4, HK2 or PKM2. Further analysis showed that HK2 (r = 0.297, P < 0.01) and PKM2 (r = 0.431, P < 0.01) were significantly positively related to the Gleason score in PCa tissues.

CONCLUSIONS

Glycolytic proteins expression levels were upregulated in PCa tissues. Furthermore, GGG3 exhibits a higher level of glycolysis compared with GGG2 in PCa tissues. Additionally, the key glycolytic enzymes, HK2 and PKM2, are overexpressed simultaneously in PCa and significantly correlate with PCa progression as represented by the GS.