Prostate Needle Biopsy Research Articles

Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning

The Gleason score contributes significantly in predicting prostate cancer outcomes and selecting the appropriate treatment option, which is affected by well-known inter-observer variations. We present a novel deep learning-based automated Gleason grading system that does not require extensive region-level manual annotations by experts and/or complex algorithms for the automatic generation of region-level annotations. A total of 6664 and 936 prostate needle biopsy single-core slides (689 and 99 cases) from two institutions were used for system discovery and validation, respectively. Pathological diagnoses were converted into grade groups and used as the reference standard. The grade group prediction accuracy of the system was 77.5% (95% confidence interval (CI): 72.3–82.7%), the Cohen’s kappa score (κ) was 0.650 (95% CI: 0.570–0.730), and the quadratic-weighted kappa score (κquad) was 0.897 (95% CI: 0.815–0.979). When trained on 621 cases from one institution and validated on 167 cases from the other institution, the system’s accuracy reached 67.4% (95% CI: 63.2–71.6%), κ 0.553 (95% CI: 0.495–0.610), and the κquad 0.880 (95% CI: 0.822–0.938). In order to evaluate the impact of the proposed method, performance comparison with several baseline methods was also performed. While limited by case volume and a few more factors, the results of this study can contribute to the potential development of an artificial intelligence system to diagnose other cancers without extensive region-level annotations.

P0997 - Transrectal ultrasound guided prostate needle biopsy is still a standard of care for prostate cancer diagnosis – A multicentre Australian analysis of infection rates

P0997 - Transrectal ultrasound guided prostate needle biopsy is still a standard of care for prostate cancer diagnosis – A multicentre Australian analysis of infection rates

Topical antiseptic at time of transrectal ultrasound prostate biopsy is associated with fewer severe clinical infections and improves antibiotic stewardship.

BackgroundThe 2017 AUA White Paper on prevention of prostate needle biopsy (PNB) complications highlights an algorithm for reducing procedural related infections. The incorporation of topical rectal antiseptic (TRS) at time of transrectal PNB is listed as one such modality. We present data on over 1000 transrectal PNB procedures to determine the impact of TRS on 1) infectious complications and 2) use of augmented procedural antibiotics.MethodsThe records of 1181 transrectal PNB procedures performed over a 10-year period were reviewed. In 2013, TRS with either 10% povidone iodine or 4% chlorhexidine was more regularly incorporated into PNB procedures. Clinical and procedural factors were analyzed for association with post-procedure infections. Infectious complications outcomes were compared in patients receiving TRS (n = 566) versus those who had not (n = 615).ResultsA total of 990 men underwent 1181 transrectal PNB procedures. Median age of the cohort was 63 years with a median PSA of 7 ng/dL. Of them, 86% of the men were Caucasian, 28% had undergone at least one prior biopsy, 14% were diabetic, and 6% had prior hospitalization within 6 months of the procedure. Five hundred sixty-six patients (48%) received TRS at time of biopsy. Perioperative IV adjunctive antibiotics were used less frequently in patients receiving TRS (13.4% vs. 28.6%, p < 0.001). Furthermore, patients receiving TRS experienced lower rates of clinical infections (1.2% vs. 2.4%, p = 0.14), as well as lower likelihood of severe infections evidenced by decreased rates of hospital admission (0.5% vs. 2.3%, p = 0.013). Rectal vault bacteriology obtained before and after TRS was available in 180 men noting a 98.1% decrease in colony counts after local treatment.ConclusionsTRS at time of transrectal PNB was associated with decreased use of IV procedural antibiotics as well as decreased severity of infections post-biopsy. This simple technique enhances antibiotic stewardship while simultaneously improving quality outcomes of the procedure.

Clinical accuracy of information extracted from prostate needle biopsy pathology reports using natural language processing.

1557 Background: Patients with prostate cancer are diagnosed through a prostate needle biopsy (PNB). Information contained in PNB pathology reports is critical for informing clinical risk stratification and treatment; however, patient comprehension of PNB pathology reports is low, and formats vary widely by institution. Natural language processing (NLP) models trained to automatically extract key information from unstructured PNB pathology reports could be used to generate personalized educational materials for patients in a scalable fashion and expedite the process of collecting registry data or screening patients for clinical trials. As proof of concept, we trained and tested four NLP models for accuracy of information extraction. Methods: Using 403 positive PNB pathology reports from over 80 institutions, we converted portable document formats (PDFs) into text using the Tesseract optical character recognition (OCR) engine, removed protected health information using the Philter open-source tool, cleaned the text with rule-based methods, and annotated clinically relevant attributes as well as structural attributes relevant to information extraction using the Brat Rapid Annotation Tool. Text pre-processing for classification and extraction was done using Scispacy and rule-based methods. Using a 75:25 train:test split (N = 302, 101), we tested conditional random field (CRF), support vector machine (SVM), bidirectional long-short term memory network (Bi-LSTM), and Bi-LSTM-CRF models, reserving 46 training reports as a validation subset for the latter two models. Model-extracted variables were compared with values manually obtained from the unprocessed PDF reports for clinical accuracy. Results: Clinical accuracy of model-extracted variables is reported in the Table. CRF was the highest performing model, with accuracies of 97% for Gleason grade, 82% for percentage of positive cores ( &lt; 50% vs. ≥50%), 90% for perineural or lymphovascular invasion, and 100% for presence of non-acinar carcinoma histology. On manual review of inaccurate results, model performance was limited by PDF image quality, errors in OCR processing of tables or columns, and practice variability in reporting number of biopsy cores. Conclusions: Our results demonstrate successful proof of concept for the use of NLP models in accurately extracting information from PNB pathology reports, though further optimization is needed before use in clinical practice.[Table: see text]

Correlation of various histopathological lesions of prostate with serum prostate specific antigen and gleason grading

Introduction: Present study was conducted to determine the age distribution of patients with prostatic lesions, prevalence of distribution of various prostatic lesions and to study correlation of histopathological types of prostatic lesions with prostate specific antigen (PSA). Materials and Methods: A total 246 prostatic needle biopsies from patients of all age groups were included in the study. After studying the histopathological features, the diagnosis of various types of prostatic lesions was made and Gleason’s scoring was done in cases of prostatic carcinoma. Subsequently, a correlation was made between the histopathological diagnosis and serum PSA level. Results: The Mean±Sd of age is 69.7±9.9 years. In pure inflammatory lesions, LGPIN, HGPIN, BPH, and BPH with prostatitis majority had PSA level Conclusion: Histopathological diagnosis and grading plays an important role in the management of prostatic cancer. For satisfactory management of patient, a high degree of the awareness of the advances along with team approach has become imperative. Keywords: BPH, LGPIN, HGPIN, PSA, Pure inflammatory lesions.

Cell membrane and nuclear expression of programmed death ligand-1 in prostate needle biopsy tissue in prostate cancer patients undergoing primary radiation therapy

BackgroundProgrammed death ligand-1 (PD-L1) expression in cancer is often associated with cancer aggressiveness and responsiveness to treatment with PD-1 pathway inhibitors. We conducted a systematic study on the expression of membranous PD-L1 (mPD-L1) and nuclear PD-1-L1 (nPD-L1) in prostate needle biopsy specimens of prostate cancer patients who underwent primary radiotherapy and analyzed the association between PD-L1 expression and clinicopathological characteristics and prognosis of patients. MethodA total of 971 cancer-containing prostate needle biopsy cores from 172 patients were immunohistochemically stained with anti-PD-L1 antibody. The association of PD-L1 expression with Gleason score and tumor volume percentage was evaluated for each biopsy core. Total of 171 patients were divided according to mPD-L1 or nPD-L1 expression, and clinicopathological characteristics were compared between the positive and negative groups. The prognostic significance of mPD-L1, nPD-L1 and common prognostic factors were analyzed in terms of biochemical recurrence. ResultTotal of 15% and 46% of biopsy cores were stained positive for mPD-L1 and nPD-L1, respectively. There was a positive correlation between Gleason score and mPD-L1 and a negative correlation between Gleason score and nPD-L1. Between mPD-L1 and nPD-L1, there was no significant correlation. There was intraindividual heterogeneity in PD-L1 expression among different Gleason scores. For mPD-L1, only pretreatment PSA was significantly higher in the positive group than in the negative, but not Gleason score and T stage. For nPD-L1, Gleason score and T stage were significantly higher in the positive group than in the negative. Both mPD-L1 and nPD-L1 expression were not predictive of BCR-free survival in univariate and multivariate analyses. ConclusionsOur results suggest that PD-1 pathway inhibitor may be a potential therapeutic option in high risk prostate cancer patients as early as neoadjuvant setting. The novel discovery of PD-L1 expression in the nucleus of PC should be subjected to further research.

Abstract PR-02: Machine learning models to quantify lineage plasticity and neuroendocrine differentiation in high-grade prostate cancer

Abstract Neuroendocrine differentiation (NED) is a type of lineage plasticity that occurs in multiple cancer types either de-novo, or as a result of treatment-induced selection pressure. NED is identified by different, partially overlapping clinical, morphological and genomic features which include small cell neuroendocrine histomorphology, gene expression signatures of Rb1 loss and lethal tumor behavior. Through the eyes of pathologists, the most extreme form of NED is small cell, neuroendocrine carcinoma (SmCC), a rare cancer type that can arise in many organs. Adenocarcinomas, the most common cancer type in the adult population can harbor clinical and genomic characteristics of SmCC without recognizable morphologic features. Therefore, we determined whether machine learning algorithms can be trained to identify salient morphologic features of NED in adenocarcinoma. Using a cohort of prostate needle biopsies, we trained complementary algorithms to generate NED scores from high-grade prostate cancer regions and tested NED scores for correlation with gene expression and pathway activation from RNA sequencing of the exact same tumor regions. Using this approach as a validation strategy, we observed correlations between NED scores and pathway activation known to be increased in SmCC. In addition, we discovered novel morphologic features through functional interpretations of pathways correlated with NED scores. Finally, we used multi-variate regression analysis to demonstrate that computer generated NED scores predict the risk of lethal prostate cancer in diagnostic prostate needle biopsies. Altogether, we demonstrate the feasibility to quantify NED - lineage plasticity in regular diagnostic H&amp;E stained pathology slides, which can be developed into an impactful, point-of-care clinical assay for the management and treatment of prostate cancer patients. Citation Format: Beatrice Knudsen, Isla Garraway, Arkadiusz Gertych, Michael Lewis, Alessandro Ferrero, Ross Whitaker. Machine learning models to quantify lineage plasticity and neuroendocrine differentiation in high-grade prostate cancer [abstract]. In: Proceedings of the AACR Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging; 2021 Jan 13-14. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(5_Suppl):Abstract nr PR-02.

Serum core-type fucosylated prostate-specific antigen index for the detection of high-risk prostate cancer.

It is known that core-type fucosylation is higher in prostate cancer cells than in other cancer cell types and is associated with high-risk prostate cancer. Here, we developed an automated microcapillary electrophoresis-based immunoassay system for measuring serum core-type fucosylated prostate-specific antigen (PSA) and evaluated whether the serum fucosylated PSA index (FPI) can detect high-risk prostate cancer. Core-type fucosylated-free PSA was measured by our automated microcapillary electrophoresis-based immunoassay system with Pholiota squarrosa lectin. The FPI was calculated from total PSA and the percentage of fucosylated-free PSA. The optimum model to predict Gleason grade (GG) ≥2 was constructed by multivariate logistic regression analysis. Discrimination was assessed by determining the area under the receiver operator characteristic curve (AUC). The study included 252 men who underwent prostate needle biopsy due to elevated serum PSA levels (4-20 ng/mL), including 138 with GG ≥2. A higher FPI was significantly associated with GG (P < .0001). Multivariate logistic regression analysis showed that age, prostate volume and FPI were significant predictors of GG ≥2. The AUC of FPI and the model were 0.729 (95% confidence interval [CI]: 0.668-0.790) and 0.837 (95% CI: 0.788-0.886), respectively, compared to 0.629 (95% CI: 0.561-0.698) for PSA. Decision curve analysis showed the superior benefit of FPI and the model when compared to PSA. In a cohort with serum PSA levels <20 ng/mL, FPI could differentiate high-risk prostate cancer from biopsy-negative or low-risk prostate cancer. Therefore, FPI could be a useful adjunct in prostate biopsy counseling for men with abnormal PSA levels.

The Effectiveness of Caudal Block with Low Doses of Dexmedetomidine and Pethidine in Transrectal Prostate Biopsy: Preliminary Results

Purpose To evaluate the effectiveness of caudal block (CB) using dexmedetomidine and pethidine instead of local anesthesia (LA) for prostate needle biopsy and the effect of CB on urinary retention. Material and Methods A transrectal ultrasound-guided prostate needle biopsy (TRUS-Bx) was performed on 68 patients with a mean age of 65 ± 2.18 years. CB with a combination of dexmedetomidine and pethidine without LA was administered to the patients. The pain levels of the patients were determined using numeric rating scale (NRS) scores to evaluate the effectiveness of CB. Preoperative and postoperative postvoid residual urine volumes (PRUV) were also calculated. Results The CB success rate was 93.15%. The NRS scores were 0.79 ± 0.19 and 0.89 ± 0.22 during probe entry and manipulation and biopsy, respectively, without any significant differences between them (p = 0.382). The mean PRUVs before and after biopsy did not differ significantly (41 ± 15.6 vs. 71.93 ± 22.3, p = 0.379). The degree of sedation, as assessed using the Ramsay scale, was 2 or 3 in all patients. Conclusion The combination of dexmedetomidine and pethidine for CB in TRUS-Bx provided quality analgesia for the patient and prevented the development of postoperative urinary retention.

Pathological correlation between prostate biopsies and the radical prostatectomy, about 30 cases

BackgroundSince the advent of the massive prostate-specific antigen (PSA) testing, prostate cancer has become a major public health problem. It is currently the most common cancer and the second leading cause of cancer death in men. The diagnosis is based on the histopathological study of prostate biopsies. The aim of our work was to study the correlation of the grade group (GG) using the ISUP 2016 classification between the prostate needle biopsies and radical prostatectomy specimen.MethodsThis was a retrospective study of 30 patients. We studied the correlation of the grade group (GG) according to the new classification ISUP (2016) between prostate biopsies and radical prostatectomy specimen.ResultsThe average age of our patients was 65 years, the diagnosis was discovered on an individual screening in 15% of the cases, and 65% of our patients were diagnosed with LUTS due to an associated benign prostatic hyperplasia. The average PSA level in our study was 11 ng/ml. In the biopsies group, the grade 1 and 2 groups were in the majority with 40% of the cases each of them. We noted that GG 3 (Gleason 4 + 3) was represented in 16.66% of cases, while GG4 was only present in 3% of cases. On the prostatectomy specimen group, GG1 was represented in 33.33% of cases, GG2 in 40% of cases and GG3 in 20% of cases. GG4 was represented in 6.66% of cases. Among GG1 patients, identical staging was noted in 75% of cases, and under-staging in 25% of cases. For GG2 patients, over-staging in 8.3% of cases, identical staging in 83.3% of cases and under-staging of 8.3%. Among GG 3 patients, there was an 80% identical staging, while an under-staging was present in 20% of cases. The GG 4 is perfectly correlated. Combining all groups in our study, we noted an exact staging in 80% of the cases, an under-staging in 16.33% of the cases, and an over-staging in 3.33% of the cases. The Kappa concordance index was 0.4.ConclusionsThe correlation of the grade group between the prostate biopsies and the radical prostatectomy specimen was imperfect; the more the cancer increases in the grade group, the better was the correlation.

Standardization of reporting discontinuous tumor involvement in prostatic needle biopsy: a systematic review.

Discontinuous tumor involvement (DTI) is a not uncommon finding in the tumor in prostate needle core biopsies undertaken for diagnosis of prostate cancer (PCa). The objective of this review is to establish a clear definition of DTI in order to provide a standardized method of measurement which reliably reflects pathologic features and disease progression following radical prostatectomy (RP). A systematic literature search was performed using PubMed up to March 2020 to identify studies of PCa patients which included needle biopsies containing DTI and matched subsequent RP treatment with or without follow-up information. The methodology and quality of reporting of DTI are reviewed, compared, and summarized. DTI is a frequent finding in diagnostic biopsy for PCa (up to 30%). Six studies were compared by methods of measurement used for predicting pathologic features and outcomes which are observed in subsequent RP. In most cases with DTI (> 90%), intervening benign tissue in the tumor core was less than 5 mm. DTI found in the biopsy was likely to be associated with a single, irregular tumor nodule going in and out of the plane of the section, but DTI was not associated with multiple small foci of the tumor. Immunohistochemistry (IHC) also demonstrated that about 75% of cases of DTI shared an IHC profile which supports the concept that DTI most likely comes from a homogeneous tumor nodule. Furthermore, DTI was associated with positive surgical margin (PSM) and bilateral tumor in RP specimens. Compared to additive measurement (with the subtraction of intervening benign tissue), linear measurement (including intervening benign tissue) of DTI was more accurately predictive of aggressive disease in the RP including higher pT stage, PSM, and greater actual extent of the tumor. However, the advantage of linear measurement was lost in cases where there was an upgrade from the biopsy to the RP which may result from undersampling. For cases with either very small tumor foci or very extensive cancer volume, no difference was observed in these two methods of measurement. DTI in core biopsies may represent undersampling of a larger irregular nodule but likely does not result from multifocality and is similarly unlikely to represent multiclonality. Linear measurement of DTI was more accurately predictive of post-RP pathologic findings and oncologic prognosis. This method should be applied for patient selection for AS.

Validation of the Effectiveness of Neutrophil-to-lymphocyte Ratio (NLR) as a Predictive Factor in Patients Undergoing Prostate Biopsy With Prostate Specific Antigen (PSA) Between 4.0 and 10.0 ng/ml.

This study aimed to access the effectiveness of serum neutrophil-to-lymphocyte ratio (NLR) in patients undergoing prostate needle biopsy with a prostate specific antigen (PSA) between 4.0 and 10.0 ng/ml. A total of 633 cases were eligible. We evaluated several factors including age, PSA, PSA-density (PSAD), platelet-to-lymphocyte ratio (PLR) and NLR in the presence or absence of prostate cancer (PCa), retrospectively. We evaluated statistically the associations between each factor and pathological findings or Gleason score. A total of 201 were evaluated in this study. Regarding the presence or absence of prostate cancer, there were statistically significant differences in age, PSA levels, PSAD, the PLR and NLR. The mean NLR value of the patients with PCa was significantly lower compared to the entire cohort. Multivariate analysis showed that age, PSAD, and NLR were independent risk factors predicting PCa. For patients having a PSA between 4.0 and 10.0 ng/ml, NLR was a predicting factor of PCa prior to prostate needle biopsy and an effective biomarker and useful tool for avoiding unnecessary biopsies.

Correlation between Body Mass Index and Gleason Score in Men with Prostate Cancer in Southeastern Nigeria.

Introduction:Prostate cancer has an increasing global burden. The clinical course varies from an indolent disease to a rapidly aggressive cancer. It is associated with higher mortality in less developed nations due to late presentation. The Gleason scoring system for prostatic adenocarcinoma has prognostic implications in diagnosed cases. Obesity has been associated with the evolution of many cancers including prostate cancer. There are conflicting reports on the relationship between obesity, as measured by body mass index (BMI), and prostate cancer aggressiveness, as measured by Gleason score. This study is aimed to determine if a correlation exists between BMI and Gleason score in men with prostate cancer.Methodology:This was a prospective, hospital-based, cross-sectional study involving consecutive patients with prostate cancer. Clinical evaluation including anthropometry, digital rectal examination, and relevant investigations were done for each patient and data collected with pro forma. This was followed by prostate needle biopsy and those diagnosed with adenocarcinoma of the prostate had their Gleason grades and scores obtained. Data were analyzed statistically using Spearman Correlation.Results:The mean age of the patients was 69.54 ± 8.61 years (range 47–83 years). The BMI ranged from 16.98 to 36.45 kg/m2, with a mean of 27.03 ± 5.03 kg/m2. Twenty-six of the patients (36.1%) were overweight and 34.7% were obese. The mean total prostate-specific antigen was 118.65 ± 84.43 ng/ml, with a range of 31–406 ng/ml. The modal Gleason score was 9 with a range of 4–10. There was a strong positive correlation between BMI and Gleason score (r = 0.817, P = 0.0003).Conclusion:The BMI of patients with prostate cancer correlated positively with their Gleason score.

Comparative Analysis of Repeat Biopsies in Patients with Isolated High-grade Prostatic Intraepithelial Neoplasia in Their First Prostate Needle Biopsies of 6 Versus 12 Cores and Systematic Literature Review

Comparative Analysis of Repeat Biopsies in Patients with Isolated High-grade Prostatic Intraepithelial Neoplasia in Their First Prostate Needle Biopsies of 6 Versus 12 Cores and Systematic Literature Review

Comparison of Prophylactic Methods to Prevent Clinical Infection after Trans-rectal Prostate Needle Biopsy

Comparison of Prophylactic Methods to Prevent Clinical Infection after Trans-rectal Prostate Needle Biopsy

Prognostic significance of morphological patterns of Gleason grade 5 prostatic adenocarcinoma diagnosed on needle biopsy

Grading is one of the best prognostic indicators of prostate cancer with Gleason grade 5 having the worst outcome. The prognostic influence of grade 5 patterns remains uncertain. A total of 646 prostate needle biopsy sets with Gleason score (GS) 9-10 prostatic adenocarcinoma were prospectively analysed. Patterns of grade 5 were correlated with radical prostatectomy (RP) adverse findings of high tumour volume (TV), extra-prostatic extension (EPE), seminal vesicle invasion (SVI) and lymph node involvement (LNI) in 472 and biochemical recurrence (BCR) in 338 patients after RP. Mean age and serum PSA were 69 years (range 37-91) and 26.1 ng/mL (range 1.4-1800), respectively. Gleason scores were 4+5=9 in 539 (83%), 5+4=9 in 94 (15%) and 5+5=10 in 13 cases (2%). Clusters/cords, single cells, sheets and comedocarcinoma were found in 86%, 69%, 26% and 18% with a pure pattern in 25% of cases. Comparing cases with and without sheets, there were no significant differences with RP high TV (p=0.8577), EPE (p=0.5372), SVI (p=0.5183) and LNI (p=0.4323). However, the presence of sheets predicted a significantly higher BCR rate (p=0.0033), while for tumours with single cells, the interval to BCR was significantly shorter (p<0.0001). Comparing cases with and without the other patterns, two other significant differences were found. Comedocarcinoma predicted high TV (p=0.0230) and single cells predicted EPE (p=0.0101). This study shows that all patterns currently used to assign a Gleason grade 5, including sheets, comedocarcinoma, single cells and clusters/cords, are associated with aggressive outcomes validating their inclusion in grade 5.

Perineural invasion in prostate needle biopsy: Prognostic value on radical prostatectomy and active surveillance.

The aim of this study was to evaluate the clinical impact of perineural invasion (PNI) in prostate biopsy in patients submitted to radical prostatectomy and on active surveillance (AS). We performed a single center, retrospective, cohort study on patients diagnosed with clinically localized prostate cancer and submitted to radical prostatectomy between January 2010 and December 2016. We evaluated clinical and anatomopathological characteristics from the biopsy and radical prostatectomy specimen and correlated with biochemical recurrence (BCR) using a survival analysis. We also evaluated the impact of PNI in patients with criteria for active surveillance. The cohort analyzed consists of 107 patients, with a mean age of 63.1 years and a mean PSA prior to biopsy of 7.8 ng/ml. In prostate biopsy, 66.4% of the patients had a Gleason score of 6, 30.9% had a Gleason score of 7, and 2.7% had a Gleason score of 8 or higher, with PNI being detected in 57 (53.3%) of the patients. Regarding the anatomopathological characteristics of the surgical specimen, invasion of the seminal vesicles was observed in 6.5%, lymph nodes involvement in 9.3% and positive surgical margins in 27.1% of the cases. During follow-up, BCR was recorded in 24.3% of cases. Clinicopathological features were stratified according to the presence or absence of PNI, with statistical significance in relation to the Gleason Score (p = 0.001), pathologic T stage (p = 0.001), D'Amico risk (p = 0.002) and upstaging of the Gleason score (p = 0.045). The survival analysis revealed a relationship between PNI and BCR (hazard ratio = 2.98; 95% CI: 1.36-6.58; p = 0.007). Regarding the men potentially eligible for AS, the presence of PNI on the biopsy presented a significant relation with Gleason upgrade (p = 0.004) and extraprostatic extension (p = 0.017). The presence of PNI in prostate biopsy is related to adverse anatomopathological factors, being a potential predictor of BCR and have a possible role in the selection of patients for AS.

MRI-guided prostate needle biopsy using a BioJet navigation system is useful for precise prostate cancer localization

MRI-guided prostate needle biopsy using a BioJet navigation system is useful for precise prostate cancer localization

Extend of neuroendocrine differentiation in adenocarcinoma prostate needle biopsies

Neuroendocrine differentiation in prostatic adenocarcinoma is now one of the emerging prognostic factor that determine treatment outcome. This study aims to identify the extent of neuroendocrine differentiation amidst the tumour cells in adenocarcinoma prostate with the help of immunohistochemical marker, Chromogranin A(CgA) and correlate with its Gleason score. A semiquantative scoring system was utilised to estimate and quantify cells having neuroendocrine differentiation.Out of 40 cases of prostatic adenocarcinomas in needle core biopsies, 93% of patients with a Gleason score &amp;#62;6 showed CgA positivity of more than 5% and 2cases (16.6%) having Gleason score 9 showed &amp;#62;50% of CgA positive cells in the tumour area.Hence higher Gleason score correlated with higher degree of neuroendocrine differentiation in our study.

Utility of NKX3.1 immunohistochemistry in the differential diagnosis of seminal vesicles versus prostatic tissue in needle biopsy

NKX3.1 is considered a reliable immunohistochemical marker of prostatic origin with high specificity and sensitivity. However, NKX3.1 positivity has been described in other neoplastic and non-neoplastic tissues, such as mesenchymal chondrosarcoma, sex-cord stromal tumors, rete testis adenocarcinoma, lobular and ductal carcinoma of the breast, salivary glands, peribronchial submucosal glands, and Sertoli cells. We analyzed expression of two antibodies (mono and polyclonal) of NKX3.1 in a total of 63 non-neoplastic seminal vesicles. We used 52 resection materials (12 seminal vesicles without prostatic adenocarcinoma, 26 seminal vesicles with prostatic adenocarcinoma infiltration, and 14 cases of seminal vesicles infiltrated by urothelial carcinoma) and 11 prostatic core needle biopsies with incidentally sampled fragment of seminal vesicles. In all cases, tissues from seminal vesicles were completely negative for NKX3.1, despite using polyclonal and monoclonal NKX3.1 antibodies, and regardless of the detection system utilized (diaminobenzidine (DAB) versus alkaline phosphatase (AF)). However, prostatic adenocarcinoma was negative in several cases (n = 6), when AF detection system was used. Reaction with DAB was strong and robust in all cases. Based on our data, we can recommend NKX3.1 as a negative immunohistochemical marker of seminal vesicles.