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Cervical cancer is the third most common cancer in women worldwide. Conventional cytological examination as a screening method with Papanicolaou has been established to reduce the incidence of dysplasia and cervical cancer for years. In addition to the conventional screening, the introduction of immunocytochemical examinations, including CINtecPlus and L1-capsid, has been demonstrated to have a positive impact on screening results. In addition to morphological screening methods, human papillomavirus (HPV)-testing has also been demonstrated to possess an enormous potential in the cervical screening process. Additionally, different screening models ranging from conventional cytological screening to primary HPV-testing do exist in different countries. At the beginning of the year 2020, a combination of cytological screening and HPV-testing was introduced in Germany for women ≥35 years. The aim of the present study was to evaluate the role of morphological screening, including immunocytochemistry, and to compare it with HPV-genotyping. Immunocytochemistry was added to confirm the diagnosis but needs established infrastructure and well-trained personnel. Furthermore, there was a need to establish the HPV-screening method. In the Institute for Pathology and Cytology (Schuettorf, Leer, Germany), 146,800 samples of women (35 years old) were examined between January 2020 and January 2021. The present study retrospectively analyzed 146,800 samples. Each sample was examined using a conventional cytological technique and HPV-high risk-Test (HPV-HR-Test) with Viper-BD. Immunocytochemistry with CINtecPlus and L1-capsid was added in some cases. A total of 555 cases were cytological diagnosed as atypical squamous cells of undetermined significance (ASC-US; IIp). After performing immunocytochemistry, 79% of cases were suspected to be positive and 1.48% of cases were definitely positive. The HPV-HR-Test was positive in 26.4% of cases. Among cases of ASC-US and HPV-HR-negativity, 33.7% were suspicious of immunocytochemical positivity and 0.5% were definitely positive. Among patients with HPV-16-negativity, 13.6% were patients with highly squamous intraepithelial lesion (HSIL) and 22.7% were patients with low-grade squamous intraepithelial lesion (LSIL) and HSIL. Among patients with HPV-18-negativity, 14.3% were patients with HSIL and 19.5% were patients with LSIL and HSIL. There were 107 cases in this group of cases with negativity of both HPV-16 and HPV-18. After performing the colposcopy and biopsy, there were 6.5% with cervical intra-epithelial neoplasia (CIN) I, 8.4% with CIN II and 5.6% with CIN III. In conclusion, there is still a need for conventional cytological examination and maybe the addition of immunocytochemistry to confirm the diagnosis and to exclude dysplasia of cervical epithelium. The HPV-HR-Test is not enough as a screening method and may be misleading.

The previous attempts for pT2 substaging of prostate cancer (PCa) were insufficient in providing prognostic subgroups and the search for new prognostic parameters to subcategorize pT2 PCa is, therefore, needed. Therefore, the current study investigated the association between tumor distribution patterns and the biochemical recurrence (BCR)-free survival rate in pT2pN0R0 PCa. Following radical prostatectomy, the anatomical distribution of PCa in 743 men with pT1-pT3pN0 disease was analyzed to determine 20 types of PCa distribution patterns. Then, 245 men with pT2pN0R0 PCa was considered for prognostic evaluation with a mean follow-up period of 60 months. The spatial distribution patterns of PCa were evaluated using a cMDX©-based map model of the prostate. An analysis including 552,049 comparison operations was performed to assist in the evaluation of the similarity levels of the distribution patterns. A k-mean cluster analysis was applied to determine groups with similar distribution patterns. A decision-tree analysis was performed to divide these groups according to frequency of BCR. The BCR-free survival rate was analyzed using Kaplan–Meier curves. Predictors of progression were investigated using a Cox proportional hazards model. BCR occurred in 8.2% of the 245 men with pT2pN0R0 PCa. The median time of recurrence was 60 months (interquartile range [IQR]: 42–77). In univariate and multivariate analyses, the prostate volume and the distribution patterns were independent predictors for BCR, whereas the sub-staging of pT2 tumors, Gleason grading, prostate-specific antigen (PSA) level, and relative tumor volume were not. In the patients with pT2pN0R0 disease, PCa distribution patterns with the apical involvement were significantly associated with the risk of BCR (P = 0.001). The spread tumor patterns with the apical involvement are associated with a high-risk of BCR in the pT2 tumor stage. The vertical tumor spread could be considered in developing improved prognostic pT2 sub-categories.

Autosomal dominant polycystic kidney disease (ADPKD) is one of the best-known genetic diseases. Almost half of the patients with ADPKD will develop end-stage renal disease, and the majority of patients are treated with renal transplantation. The current study presents a case that developed papillary renal cell carcinoma (PRCC) in the native right kidney 10 years after renal transplantation. PRCC is a not common malignant tumour entity (18.5% of all cases of renal cell carcinoma) compared with common clear cell renal carcinoma (65-70% of all cases of RCC).

BACKGROUND Fresh tissue is mandatory to perform high-quality translation studies. Several models for tissue extraction from prostatectomy specimens without guidance by frozen sections are already introduced. However, little is known about the sampling efficacy of these models, which should provide representative tissue in adequate volumes, account for multifocality and heterogeneity of tumor, not violate the routine final pathological examination, and perform quickly without frozen section-based histological control. The aim of the study was to evaluate the sampling efficacy of the existing tissue extraction models without guidance by frozen sections (“blind”) and to develop an optimized model for tissue extraction. METHODS Five hundred thirty-three electronic maps of the tumor distribution in prostates from a single-center cohort of the patients subjected to radical prostatectomy were used for analysis. Six available models were evaluated in silico for their sampling efficacy. Additionally, a novel model achieving the best sampling efficacy was developed. RESULTS The available models showed high efficacies for sampling “any part” from the tumor (up to 100%), but were uniformly low in efficacy to sample all tumor foci from the specimens (with the best technique sampling only 51.6% of the all tumor foci). The novel 4-level extraction model achieved a sampling efficacy of 93.1% for all tumor foci. CONCLUSIONS The existing “blind” tissue extraction models from prostatectomy specimens without frozen sections control are suitable to target tumor tissues but these tissues do not represent the whole tumor. The novel 4-level model provides the highest sampling efficacy and a promising potential for integration into routine. Prostate © 2016 Wiley Periodicals, Inc.

To evaluate whether the spatial distribution of prostate cancer (PCa) influences the concentration of prostate-specific antigen (PSA).An observational prospective study was performed in 775 consecutive men with preoperative PSA levels ≤20 ng/mL who underwent radical prostatectomy for organ-confined PCa. We evaluated prostate specimens using a cMDX-based map model of the prostate and determined the prostate volume, number of cancer foci, relative tumor volume, Gleason score, zone of origin, localization, and pathologic stage after stratification according to PSA levels categorized into 3 groups:4 ng/mL, 4-10 ng/mL, and 10.1-20 ng/mL. The distribution of 5254 PCa foci was analyzed after stratification according to PSA levels and visualized on heat maps. A logistic regression analysis was performed to assess the odds ratios of PSA levels for the presence of PCa in 16 regions.PCa with PSA4 ng/mL was predominantly localized to the apical part and the peripheral zone of the prostate. PCa with a PSA level 10.1-20 ng/mL (16.4% of cases) was observed more frequently in the anterior part and the base of the prostate than PCa with a PSA level4 or 4-10 ng/mL (6% and 10%, respectively).Preoperative PSA levels vary according to the spatial distribution of PCa in radical prostatectomy specimens. The probability of anterior PCa is increased with higher PSA serum levels. Regions of interest harboring the PCa can be defined according to preoperative PSA and prostate volume. These findings are useful to optimize the focal therapy or to adjust the radiation fields.

Objective To evaluate the spatial distribution of prostate cancer detected at a single positive biopsy (PBx) and a repeat PBx (rPBx). Patients and Methods We evaluated 533 consecutive men diagnosed with prostate cancer who underwent radical prostatectomy using a clinical map document based on XML (cMDX©)-based map model of the prostate. We determined the number of cancer foci, relative tumour volume, Gleason score, zone of origin, localisation, and pathological stage after stratification according to the number of PBx sessions (PBx vs rPBx). The distribution of 3966 prostate cancer foci was analysed and visualised on heat maps. The colour gradient of the heat map was reduced to six colours representing the frequency classification of prostate cancer using an image posterisation effect. Additionally, the spatial distribution of organ-confined prostate cancer between PBx and rPBx was evaluated. Results Prostate cancer diagnosed on PBx was mostly localised to the apical portion and the peripheral zone of the prostate. Prostate cancer diagnosed on rPBx was more frequently found in the anterior portion and the base of the prostate. Organ-confined prostate cancer foci were mostly localised in the dorsolateral zone of the prostate in men at PBx, whereas men at rPBx had more prostate cancer foci in the anterior portion. Conclusions The spatial distribution of prostate cancer with rPBx differs significantly from the spatial distribution of prostate cancer with PBx. The whole anterior portion of the prostate should be considered by rPBx.

Display Omitted Analysis of the topographical distribution of prostate cancer foci.Analysis of the spatial distribution of related pathologic findings in prostatectomy specimens.Better understanding of the upgrading of a Gleason score by Analysis of the spatial distribution. IntroductionUnderstanding the topographical distribution of prostate cancer (PCa) foci is necessary to optimize the biopsy strategy. This study was done to develop a technical approach that facilitates the analysis of the topographical distribution of PCa foci and related pathological findings (i.e., Gleason score and foci dimensions) in prostatectomy specimens. Material & methodsThe topographical distribution of PCa foci and related pathologic evaluations were documented using the cMDX documentation system. The project was performed in three steps. First, we analyzed the document architecture of cMDX, including textual and graphical information. Second, we developed a data model supporting the topographic analysis of PCa foci and related pathologic parameters. Finally, we retrospectively evaluated the analysis model in 168 consecutive prostatectomy specimens of men diagnosed with PCa who underwent total prostate removal. The distribution of PCa foci were analyzed and visualized in a heat map. The color depth of the heat map was reduced to 6 colors representing the PCa foci frequencies, using an image posterization effect. We randomly defined 9 regions in which the frequency of PCa foci and related pathologic findings were estimated. ResultsEvaluation of the spatial distribution of tumor foci according to Gleason score was enabled by using a filter function for the score, as defined by the user. PCa foci with Gleason score (Gls) 6 were identified in 67.3% of the patients, of which 55 (48.2%) also had PCa foci with Gls between 7 and 10. Of 1173 PCa foci, 557 had Gls 6, whereas 616 PCa foci had Gls6. PCa foci with Gls 6 were mostly concentrated in the posterior part of the peripheral zone of the prostate, whereas PCa foci with Gls6 extended toward the basal and anterior parts of the prostate. The mean size of PCa foci with Gls 6 was significantly lower than that of PCa with Gls6 (P