Objectives
To analyze the performance of radiological assessment categories and quantitative computational analysis of apparent diffusion coefficient (ADC) maps using variant machine learning ...algorithms to differentiate clinically significant versus insignificant prostate cancer (PCa).
Methods
Retrospectively, 73 patients were included in the study. The patients (mean age, 66.3 ± 7.6 years) were examined with multiparametric MRI (mpMRI) prior to radical prostatectomy (
n
= 33) or targeted biopsy (
n
= 40). The index lesion was annotated in MRI ADC and the equivalent histologic slides according to the highest Gleason Grade Group (GrG). Volumes of interest (VOIs) were determined for each lesion and normal-appearing peripheral zone. VOIs were processed by radiomic analysis. For the classification of lesions according to their clinical significance (GrG ≥ 3), principal component (PC) analysis, univariate analysis (UA) with consecutive support vector machines, neural networks, and random forest analysis were performed.
Results
PC analysis discriminated between benign and malignant prostate tissue. PC evaluation yielded no stratification of PCa lesions according to their clinical significance, but UA revealed differences in clinical assessment categories and radiomic features. We trained three classification models with fifteen feature subsets. We identified a subset of shape features which improved the diagnostic accuracy of the clinical assessment categories (maximum increase in diagnostic accuracy ΔAUC = + 0.05,
p
< 0.001) while also identifying combinations of features and models which reduced overall accuracy.
Conclusions
The impact of radiomic features to differentiate PCa lesions according to their clinical significance remains controversial. It depends on feature selection and the employed machine learning algorithms. It can result in improvement or reduction of diagnostic performance.
Key Points
• Quantitative imaging features differ between normal and malignant tissue of the peripheral zone in prostate cancer.
• Radiomic feature analysis of clinical routine multiparametric MRI has the potential to improve the stratification of clinically significant versus insignificant prostate cancer lesions in the peripheral zone.
• Certain combinations of standard multiparametric MRI reporting and assessment categories with feature subsets and machine learning algorithms reduced the diagnostic performance over standard clinical assessment categories alone.
Muscle-invasive urothelial bladder cancer (MIBC) is associated with limited response rates to systemic therapy, risk of recurrence and death. Tumor infiltrating immune cells have been associated with ...outcome and response to chemo-and immunotherapy in MIBC. We aimed to profile the immune cells in the tumor microenvironment (TME) to predict prognosis in MIBC and responses to adjuvant chemotherapy.
We performed multiplex immunohistochemistry (IHC) profiling and quantification of immune and stromal cells (CD3, CD4, CD8, CD163, FoxP3, PD-1, and CD45, Vimentin, αSMA, PD-L1, Pan-Cytokeratin, Ki67) in 101 patients with MIBC receiving radical cystectomy. We used uni- and multivariate survival analyses to identify cell types predicting prognosis. Samples were subdivided using K-means clustering for Treg and macrophage infiltration resulting in 3 clusters, Cluster 1: Treg high, cluster 2: macrophage high, cluster 3: Treg and macrophage low. Routine CD68 and CD163 IHC were analyzed with QuPath in an extended cohort of 141 MIBC.
High concentrations of macrophages were associated with increased risk of death (HR 10.9, 95% CI 2.8-40.5; p < 0.001) and high concentrations of Tregs were associated with decreased risk of death (HR 0.1, 95% CI 0.01-0.7; p = 0.03) in the multivariate Cox-regression model adjusting for adjuvant chemotherapy, tumor and lymph node stage. Patients in the macrophage rich cluster (2) showed the worst OS with and without adjuvant chemotherapy. The Treg rich cluster (1) showed high levels of effector and proliferating immune cells and had the best survival. Cluster 1 and 2 both were rich in PD-1 and PD-L1 expression on tumor and immune cells.
Treg and macrophage concentrations in MIBC are independent predictors of prognosis and are important players in the TME. Standard IHC with CD163 for macrophages is feasible to predict prognosis but validation to use immune-cell infiltration, especially to predict response to systemic therapies, is required.
Prostate cancer is a major health concern in aging men. Paralleling an aging society, prostate cancer prevalence increases emphasizing the need for efficient diagnostic algorithms.
Retrospectively, ...106 prostate tissue samples from 48 patients (mean age, Formula: see text years) were included in the study. Patients suffered from prostate cancer (n = 38) or benign prostatic hyperplasia (n = 10) and were treated with radical prostatectomy or Holmium laser enucleation of the prostate, respectively. We constructed tissue microarrays (TMAs) comprising representative malignant (n = 38) and benign (n = 68) tissue cores. TMAs were processed to histological slides, stained, digitized and assessed for the applicability of machine learning strategies and open-source tools in diagnosis of prostate cancer. We applied the software QuPath to extract features for shape, stain intensity, and texture of TMA cores for three stainings, H&E, ERG, and PIN-4. Three machine learning algorithms, neural network (NN), support vector machines (SVM), and random forest (RF), were trained and cross-validated with 100 Monte Carlo random splits into 70% training set and 30% test set. We determined AUC values for single color channels, with and without optimization of hyperparameters by exhaustive grid search. We applied recursive feature elimination to feature sets of multiple color transforms.
Mean AUC was above 0.80. PIN-4 stainings yielded higher AUC than H&E and ERG. For PIN-4 with the color transform saturation, NN, RF, and SVM revealed AUC of Formula: see text, Formula: see text, and Formula: see text, respectively. Optimization of hyperparameters improved the AUC only slightly by 0.01. For H&E, feature selection resulted in no increase of AUC but to an increase of 0.02-0.06 for ERG and PIN-4.
Automated pipelines may be able to discriminate with high accuracy between malignant and benign tissue. We found PIN-4 staining best suited for classification. Further bioinformatic analysis of larger data sets would be crucial to evaluate the reliability of automated classification methods for clinical practice and to evaluate potential discrimination of aggressiveness of cancer to pave the way to automatic precision medicine.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Molecular subtypes predict prognosis in muscle-invasive bladder cancer (MIBC) and are explored as predictive markers. To provide a common base for molecular subtyping and facilitate clinical ...applications, a consensus classification has been developed. However, methods to determine consensus molecular subtypes require validation, particularly when FFPE specimens are used. Here, we aimed to evaluate two gene expression analysis methods on FFPE samples and to compare reduced gene sets to classify tumors into molecular subtypes.
RNA was isolated from FFPE blocks of 15 MIBC patients. Massive analysis of 3' cDNA ends (MACE) and the HTG transcriptome panel (HTP) were used to retrieve gene expression. We used normalized, log2-transformed data to call consensus and TCGA subtypes with the consensusMIBC package for R using all available genes, a 68-gene panel (ESSEN1), and a 48-gene panel (ESSEN2).
Fifteen MACE-samples and 14 HTP-samples were available for molecular subtyping. The 14 samples were classified as Ba/Sq in 7 (50%), LumP in 2 (14.3%), LumU in 1 (7.1%), LumNS in 1 (7.1%), stroma-rich in 2 (14.3%) and NE-like in 1 (7.1%) case based on MACE- or HTP-derived transcriptome data. Consensus subtypes were concordant in 71% (10/14) of cases when comparing MACE with HTP data. Four cases with aberrant subtypes had a stroma-rich molecular subtype with either method. The overlap of the molecular consensus subtypes with the reduced ESSEN1 and ESSEN2 panels were 86% and 100%, respectively, with HTP data and 86% with MACE data.
Determination of consensus molecular subtypes of MIBC from FFPE samples is feasible using various RNA sequencing methods. Inconsistent classification mainly involves the stroma-rich molecular subtype, which may be the consequence of sample heterogeneity with (stroma)-cell sampling bias and highlights the limitations of bulk RNA-based subclassification. Classification is still reliable when analysis is reduced to selected genes.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Purpose: Neutral endopeptidase (CD10), an ectopeptidase bound to the cell surface, is thought to be a potential prognostic marker
for prostate cancer.
Experimental Design: Prostate cancer patients ( ...N = 3,261) treated by radical prostatectomy at a single institution were evaluated by using tissue microarray. Follow-up data
were available for 2,385 patients. The cellular domain (membranous, membranous-cytoplasmatic, and cytoplasmatic only) of CD10
expression was analyzed immunohistochemically and correlated with various clinical and histopathologic features of the tumors.
Results: CD10 expression was detected in 62.2% of cancer samples and occurred preferentially in higher Gleason pattern ( P < 0.0001). CD10 expression positively correlated with adverse tumor features such as elevated preoperative prostate-specific
antigen (PSA), higher Gleason score, and advanced stage ( P < 0.0001 each). Survival analyses showed that PSA recurrence was significantly associated with the staining pattern of CD10
expression. Outcome significantly declined from negative over membranous, membranous-cytoplasmatic, to exclusively cytoplasmatic
CD10 expression ( P < 0.0001). In multivariate analysis, CD10 expression was an independent predictor for PSA failure ( P = 0.0343).
Conclusions: CD10 expression is an unfavorable independent risk factor in prostate cancer. The subcellular location of CD10 protein is
associated with specific clinical courses, suggesting an effect on different important biological properties of prostate cancer
cells. The frequent expression of CD10 in prostate cancer and the strong association of CD10 with unfavorable tumor features
may qualify this biomarker for targeted therapies.
Despite the high number of previous studies, the role of p53 alterations in prostate cancer is not clearly defined. To address the role of p53 alterations in prostate cancer biology, a total of 2514 ...cancers treated by radical prostatectomy were successfully analyzed by immunohistochemistry in a tissue microarray format. Overall a low rate of p53-positive tumors was found (2.5%). A significant underestimation of p53-positive cases was excluded by subsequent large section analyses and direct sequencing of the p53 gene in subsets of our patients. Large section analysis of 23 cases considered negative on the tissue microarray yielded only one weakly p53-positive tumor. Only 4 out of 64 (6.4%) high-grade tumors, that were considered negative for p53 by immunohistochemistry, presented exon 5-8 mutations. These data suggest a high sensitivity of our immunohistochemistry approach and confirm the overall low frequency of p53 alterations in clinically localized prostate cancer. A positive p53 immunostaining was strongly associated with presence of exon 5-8 mutations (P<0.0001), advanced pT-stage (P<0.0001), high Gleason grade (P<0.0001), positive surgical margins (P=0.03) and early biochemical tumor recurrence (P<0.0001). A higher rate of positive p53 immunostaining was detected in late-stage diseases including metastatic prostate cancer (P=0.0152) and hormone-refractory tumors (P=0.0003). Moreover, p53 expression was identified as an independent predictor of biochemical tumor recurrence in the subgroup of low- and intermediate-grade cancers. In summary, the results of this study show that p53 mutations characterize a small biologically aggressive subgroup of prostate cancers with a high risk of progression after prostatectomy. The rate of p53 alterations increases with prostate cancer progression.
Partial nephrectomy (PN) is the gold standard surgical treatment for resectable renal cell carcinoma (RCC) tumors. However, the decision whether a robotic (RAPN) or open PN (OPN) approach is chosen ...is often based on the surgeon's individual experience and preference. To overcome the inherent selection bias when comparing peri- and postoperative outcomes of RAPN vs. OPN, a strict statistical methodology is needed.
We relied on an institutional tertiary-care database to identify RCC patients treated with RAPN and OPN between January 2003 and January 2021. Study endpoints were estimated blood loss (EBL), length of stay (LOS), rate of intraoperative and postoperative complications, and trifecta. In the first step of analyses, descriptive statistics and multivariable regression models (MVA) were applied. In the second step of analyses, to validate initial findings, MVA were applied after 2:1 propensity-score matching (PSM).
Of 615 RCC patients, 481 (78%) underwent OPN vs 134 (22%) RAPN. RAPN patients were younger and presented with a smaller tumor diameter and lower RENAL-Score sum, respectively. Median EBL was comparable, whereas LOS was shorter in RAPN vs. OPN. Both intraoperative (27 vs 6%) and Clavien-Dindo > 2 complications (11 vs 3%) were higher in OPN (both < 0.05), whereas achievement of trifecta was higher in RAPN (65 vs 54%; p = 0.028). In MVA, RAPN was a significant predictor for shorter LOS, lower rates of intraoperative and postoperative complications as well as higher trifecta rates. After 2:1 PSM with subsequent MVA, RAPN remained a statistical and clinical predictor for lower rates of intraoperative and postoperative complications and higher rates of trifecta achievement but not LOS.
Differences in baseline and outcome characteristics exist between RAPN vs. OPN, probably due to selection bias. However, after applying two sets of statistical analyses, RAPN seems to be associated with more favorable outcomes regarding complications and trifecta rates.
Prostate cancer (PCa) is the most common type of cancer found in men and among the leading causes of cancer death in the western world. In the present study, we compared the individual protein ...expression patterns from histologically characterized PCa and the surrounding benign tissue obtained by manual micro dissection using highly sensitive two-dimensional differential gel electrophoresis (2D-DIGE) coupled with mass spectrometry. Proteomic data revealed 118 protein spots to be differentially expressed in cancer (n = 24) compared to benign (n = 21) prostate tissue. These spots were analysed by MALDI-TOF-MS/MS and 79 different proteins were identified. Using principal component analysis we could clearly separate tumor and normal tissue and two distinct tumor groups based on the protein expression pattern. By using a systems biology approach, we could map many of these proteins both into major pathways involved in PCa progression as well as into a group of potential diagnostic and/or prognostic markers. Due to complexity of the highly interconnected shortest pathway network, the functional sub networks revealed some of the potential candidate biomarker proteins for further validation. By using a systems biology approach, our study revealed novel proteins and molecular networks with altered expression in PCa. Further functional validation of individual proteins is ongoing and might provide new insights in PCa progression potentially leading to the design of novel diagnostic and therapeutic strategies.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
To explore whether the presence of occult disseminated tumor cells (DTCs) in the bone marrow before neoadjuvant hormone therapy influences the prognosis of patients with organ confined prostate ...cancer treated by radical prostatectomy.
Pretreatment bone marrow aspirates from 193 cT (1-4) pN0M0 prostate cancer patients submitted to neoadjuvant hormone therapy (mean, 8 months) followed by radical prostatectomy were immunohistochemically evaluated by anticytokeratin antibody A45-B/B3 previously validated for the detection of DTCs. Bone marrow status was compared with established clinical and histopathologic risk parameters. Patients' outcome was evaluated using prostate-specific antigen (PSA) blood serum measurements as surrogate marker for recurrence over a median follow-up of 44 months.
DTCs were detected in 44.6% of patients. Bone marrow status neither correlated with tumor grade and stage, nor with the pretreatment PSA risk category (all P values > .05). In the univariate Kaplan-Meier analysis, the presence of DTCs was a significant prognostic factor with respect to poor PSA progression-free survival (log-rank test P = .0035). Using a multivariable piecewise Cox regression model, the presence of DTCs was an independent predictor of PSA relapse (relative risk 1.82; P = .014).
The presence of DTCs in the bone marrow of patients with prostate cancer before neoadjuvant hormone therapy and subsequent surgery represents an independent prognostic parameter, suggesting that DTCs may contribute to the failure of current neoadjuvant hormone therapy regimens.
Disorder of sex development (DSD) is a rare condition with atypical development of chromosomal, gonadal, or anatomical sex. It is classified in different subgroups based on the patient’s karyotype, ...gonadal dysgenesis, and the appearance of the internal and external genitalia. Within the subgroups, the risk for developing neoplasms varies a lot. Here, we report the case of a 41-year-old patient with disorder of sex development, showing a 46,XX karyotype with an ovotestis and the simultaneous manifestation of a Leydig cell tumor in the ovotestis. The patient initially presented with infertility, and a suspicious lesion of the left testicle was noted on MRI-Scan. Upon resection, a Leydig cell tumor and an ovotestis were diagnosed. Nongerm call tumors are rare in patients with DSD. We report a nongerm cell tumor in a patient with 46,XX DSD, ovotesticular. This shows that although 46,XX DSD, ovotesticular is known to have a low potential for germ cell neoplasia, nongerm cell tumors can develop and should be into account for the management of those patients.
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