Search

Background: Pathological evaluations give the best prognostic markers for prostate cancer patients after radical prostatectomy, but the observer variance is substantial. These risk assessments should be supported and supplemented by objective methods for identifying patients at increased risk of recurrence. Markers of epigenetic aberrations have shown promising results in several cancer types and can be assessed by automatic analysis of chromatin organisation in tumour cell nuclei.Methods: A consecutive series of 317 prostate cancer patients treated with radical prostatectomy at a national hospital between 1987 and 2005 were followed for a median of 10 years (interquartile range, 7-14). On average three tumour block samples from each patient were included to account for tumour heterogeneity. We developed a novel marker, termed Nucleotyping, based on automatic assessment of disordered chromatin organisation, and validated its ability to predict recurrence after radical prostatectomy.Results: Nucleotyping predicted recurrence with a hazard ratio (HR) of 3.3 (95% confidence interval (CI), 2.1-5.1). With adjustment for clinical and pathological characteristics, the HR was 2.5 (95% CI, 1.5-4.1). An updated stratification into three risk groups significantly improved the concordance with patient outcome compared with a state-of-the-art risk-stratification tool (P<0.001). The prognostic impact was most evident for the patients who were high-risk by clinical and pathological characteristics and for patients with Gleason score 7.Conclusion: A novel assessment of epigenetic aberrations was capable of improving risk stratification after radical prostatectomy. [ABSTRACT FROM AUTHOR]

Aims Concentric hypertrophy following pressure-overload is linked to preserved systolic function but impaired diastolic function, and is an important substrate for heart failure with preserved ejection fraction. While increased passive stiffness of the myocardium is a suggested mechanism underlying diastolic dysfunction in these hearts, the contribution of active diastolic Ca2+ cycling in cardiomyocytes remains unclear. In this study, we sought to dissect contributions of passive and active mechanisms to diastolic dysfunction in the concentrically hypertrophied heart following pressure-overload. Methods and results Rats were subjected to aortic banding (AB), and experiments were performed 6 weeks after surgery using sham-operated rats as controls. In vivo ejection fraction and fractional shortening were normal, confirming preservation of systolic function. Left ventricular concentric hypertrophy and diastolic dysfunction following AB were indicated by thickening of the ventricular wall, reduced peak early diastolic tissue velocity, and higher E/e' values. Slowed relaxation was also observed in left ventricular muscle strips isolated from AB hearts, during both isometric and isotonic stimulation, and accompanied by increases in passive tension, viscosity, and extracellular collagen. An altered titin phosphorylation profile was observed with hypophosphorylation of the phosphosites S4080 and S3991 sites within the N2Bus, and S12884 within the PEVK region. Increased titin-based stiffness was confirmed by salt-extraction experiments. In contrast, isolated, unloaded cardiomyocytes exhibited accelerated relaxation in AB compared to sham, and less contracture at high pacing frequencies. Parallel enhancement of diastolic Ca2+ handling was observed, with augmented NCX and SERCA2 activity and lowered resting cytosolic [Ca2+]. Conclusion In the hypertrophied heart with preserved systolic function, in vivo diastolic dysfunction develops as cardiac fibrosis and alterations in titin phosphorylation compromise left ventricular compliance, and despite compensatory changes in cardiomyocyte Ca2+ homeostasis. [ABSTRACT FROM AUTHOR]

Nuclear texture analysis measures the spatial arrangement of the pixel gray levels in a digitized microscopic nuclear image and is a promising quantitative tool for prognosis of cancer. The aim of this study was to evaluate the prognostic value of entropy-based adaptive nuclear texture features in a total population of 354 uterine sarcomas. Isolated nuclei (monolayers) were prepared from 50 µm tissue sections and stained with Feulgen-Schiff. Local gray level entropy was measured within small windows of each nuclear image and stored in gray level entropy matrices, and two superior adaptive texture features were calculated from each matrix. The 5-year crude survival was significantly higher ( P < 0.001) for patients with high texture feature values (72%) than for patients with low feature values (36%). When combining DNA ploidy classification (diploid/nondiploid) and texture (high/low feature value), the patients could be stratified into three risk groups with 5-year crude survival of 77, 57, and 34% (Hazard Ratios (HR) of 1, 2.3, and 4.1, P < 0.001). Entropy-based adaptive nuclear texture was an independent prognostic marker for crude survival in multivariate analysis including relevant clinicopathological features (HR = 2.1, P = 0.001), and should therefore be considered as a potential prognostic marker in uterine sarcomas. © The Authors. Published 2014 International Society for Advancement of Cytometry [ABSTRACT FROM AUTHOR]

Objective. The aims of this study were to establish 15-year postprostatectomy prostate cancer-specific mortality (PCSM), explore the time to prostate-specific antigen (PSA) relapse and identify clinically available prognostic factors. Material and methods. From 1987 to 2004, 309 men (median age 62 years, range 40-74 years) were prostatectomized for localized prostate cancer at a tertiary referral cancer centre. Slightly modified D'Amico risk groups were identified. PSA relapse was defined as PSA ≥ 4 μg/l before 2000, and thereafter as PSA > 0.2 μg/l. Radical prostatectomy (RP) 3-12 months after diagnosis represented 'deferred' RP. PCSM was assessed with competing risk modelling. The level of significance was set at p < 0.05. Results. After a median of 12 years, 41 men were dead from prostate cancer and 68 due to other causes [15-year PCSM 15%, 95% confidence interval (CI) 10-19%], with no significant difference in PCSM between the low- and intermediate-risk groups, and the 'conventional' high-risk group having 24% PCSM (95% CI 16-32%). PCSM was 33% (95% CI 20-46%) for men with two high-risk factors. The median time to PSA relapse ( n = 152) was 5 (range 0-17) years, with a median of 7 (range 0-17) years' survival thereafter. Deferral of RP for up to 1 year had no impact on PCSM for all patients combined. Conclusions. Approximately one in seven men with localized prostate cancer, prostatectomized before the PSA era, will die from the disease within the 15 years post-RP. Men with two high-risk criteria have a particularly poor prognosis. After PSA relapse the median survival is 7 years. The data on deferral of RP need confirmation, taking into account risk group allocation. [ABSTRACT FROM AUTHOR]

Background: The clinical outcome for the individual prostate cancer patient is often difficult to predict, due to lack of reliable independent prognostic biomarkers. We tested DNA ploidy as a prognostic factor for clinical outcome in 186 patients treated with radical prostatectomy. Methods: DNA ploidy was measured using an automatic image cytometry system and correlated with preoperative PSA, age at surgery, Mostofi grade, surgical margins and Gleason score. Results: The mean follow up time after operation was 73.3 months (range 2–176 months). Of the 186 prostatectomies, 96 were identified as diploid, 61 as tetraploid and 29 as aneuploid. Twenty-three per cent, 36% and 62% of the diploid, tetraploid and aneuploid cases respectively, suffered from relapse during the observation time. DNA ploidy, Gleason score, Mostofi grading, surgical margins and preoperative PSA were all significant predictors of relapse in a univariate analysis. On multivariate analysis, only Gleason score and DNA ploidy proved to be independently predictors of disease recurrence. Furthermore, among the 68 cases identified with Gleason score 7, DNA ploidy was the only significant predictor of disease recurrence. Conclusions: Our data suggest that DNA ploidy should be included as an important additive prognostic factor for prostate cancer, especially for patients identified with Gleason score 7 tumours. [ABSTRACT FROM AUTHOR]

Background: Nuclear texture analysis is a useful method to obtain quantitative information for use in prognosis of cancer. The first-order gray level statistics of a digitized light microscopic nuclear image may be influenced by variations in the image input conditions. Therefore, we have previously standardized the nuclear gray level mean value and standard deviation. However, there is a clear relation between nuclear DNA content, area, first-order statistics, and texture. For nuclei with approximately the same DNA content, the mean gray level increases with an increasing nuclear area. The aims of the present methodical work were to study: (1) whether the prognostic value of adaptive textural features varies with nuclear area, and (2) the effect of standardizing nuclear first-order statistics. Methods: Nuclei from 134 cases of ovarian cancer were grouped into intervals according to nuclear area. Adaptive features were extracted from two different image sets, i.e., standardized and non-standardized nuclear images. Results: The prognostic value of adaptive textural features varied strongly with nuclear area. A standardization of the first-order statistics significantly reduced this prognostic information. Several single features discriminated the two classes of cancer with a correct classification rate of 70%. Conclusion: Nuclei having an area between 2000–4999 pixels contained most of the class distance information between the good and poor prognosis classes of cancer. By considering the relation between nuclear area and texture, we avoided a loss of information caused by standardizing the first-order statistics and mixing data from cells having different nuclear area. [ABSTRACT FROM AUTHOR]

The aim of this study was to examine any relation between DNA ploidy and previously detected TP53 (p53) or p21[sup WAF1/CIP1] expression in 94 patients with muscle-invasive transitional cell carcinoma of the urinary bladder and to associate these factors with survival. DNA ploidy was determined by image cytometry. In a subgroup of patients, the mutational status of the TP53 gene was assessed by temporal temperature gradient electrophoresis (TTGE) or perpendicular denaturant gradient gel electrophoresis (DGGE) and subsequent sequencing. Significantly more aneuploid than euploid tumours showed TP53 accumulation (p = 0.003). Patients with aneuploid tumours lived longer than patients with euploid tumours (p = 0.003). In the euploid, but not in the aneuploid group, TP53 and p21[sup WAF1/CIP1] were associated with cancer-specific survival (p = 0.002 and 0.02, respectively). Patients with > 50% TP53 expression had the longest survival time. Mutation analyses showed acceptable concordance with TP53 expression. We conclude that DNA aneuploidy may confer increased radiosensitivity in bladder cancer patients and that TP53 accumulation may confer increased radiosensitivity, but its effect is detectable only in euploid tumours. [ABSTRACT FROM AUTHOR]

In the majority of colorectal carcinomas, both copies of the tumor suppressor gene TP53 (tumor protein 53) are known to be inactivated. In contrast to a loss of tumor suppressor function, it has been suggested that an increased copy number of the RBI gene is involved in the progression of these tumors. To determine genetic alterations at chromosomes 13 and 17 in colorectal tumors, we have studied several loci on these chromosomes, with special focus on the RBI and TP53 genes at both the level of DNA sequence and the level of gene expression. Restriction fragment length polymorphism analysis was performed after alkaline Southern blotting of the DNA fragments and hybridization (in 7% sodium dodecyl sulfate and 0.5 M NaPO of the nylon membranes with multi-primed, radioactively labeled probes. Total RNA was extracted from tissue biopsy specimens by homogenization of the samples in guanidinium thiocyanate followed by separation in a CsCl gradient. By use of an image-processing system, x-ray film signals were measured densitometrically. Point mutations within the TP53 gene were detected by use of polymerase chain reaction (PCR) in combination with constant denaturant gel electrophoresis. Direct sequencing of PCR products revealed the exact nature of the mutations. Protein expression of TP53 was seen by immuno-staining of sections from paraffin-embedded material using a mouse monoclonal antibody. The two-sided Fisher‘s Exact Test was used for statistical analysis. An increase in allelic copy number at 13q loci was seen in 10 (32% of 31 tumors. In the majority of the cases, this increase probably reflected a change in the diploid status of chromosome 13; in some cases, however, only part of the 13q seemed to be involved. The RBI gene showed an elevated level of RNA compared with the β-actin signal. Four-teen (48%) of 29 tumors showed loss of heterozygosity at loci on 17p, and base mutations within the TP53 gene were seen in 14 (42% of 33 tumors. RNA and protein analyses of TP53 revealed an increased level of expression in the tumors compared with normal mucosa. Allelic variations seen at 13q and 17p were not associated ( = .7). Our results suggest that, in addition to aneuploidy, gain of specific chromosome 13 sequences is involved in the tumorigenesis of the colon and rectum. In addition, they confirm the importance of TP53 mutations for the progression of such tumors and support the view that accumulation of events is more important than the order of events. The genetic changes observed at chromosome arms 13q and 17p seem to be independent of each other. [J Natl Cancer Inst 84:1100–1108, 1992] [ABSTRACT FROM PUBLISHER]

Controversy still exists regarding the validity of parameters commonly used in the evaluation of prognosis of patients with synovial sarcoma (SS). Forty-nine cases of previously untreated primary SS (23 females and 26 males, ranging in age from 7 to 81, with 31 tumors located in the lower extremity, 8 at the upper extremity and 10 at the trunchus), without regional lymph-node or distant metastases were studied. We investigated the relationship between (flow and image) DNA cytometry, proliferation activity, clinicopathologic parameters, and relapse-free and overall survival of the patients. The prognostic value of gender, age, duration of symptoms, location, compartmentalization, size, adequacy of surgical margins, residual tumor, adjuvant therapy, histologic subtype, extent of necrosis, glandular differentiation, calcification, and extent of hemangiopericytic areas, mitotic rate, amount of mast cells, blood vessel invasion, histologic (UICC and NCI) grades, DNA ploidy, percentage of cells in S and S+G2 phases, PCNA and Ki-67 labeling indices (LI), and TNM (UICC) stage of the tumors, were evaluated by univariate and multivariate (Cox hazard model) analyses. Short duration of symptoms (<12 months), biphasic SS, scarcity of mast cells ( [ABSTRACT FROM AUTHOR]

There have been several reports on the distribution of DNA in premalignant and malignant liver cells after carcinogen treatment in rodents. The most striking result so far is that ploidy distributions seems to depend more on experimental protocols and less on carcinogenesis . The present study demonstrates that an evaluation by means of flow cytometry and stereological image analysis yields results showing similar ploidy distributions throughout the known sequence of tissue changes seen during liver cancer development. Furthermore, our results demonstrate inter-individual differences between the lesions in each of the steps in these tissue changes, (foci, nodules and hepatocarcinomas). The present study gives no reason to conclude that changes in ploidy distribution are essential in liver carcinogenesis. [ABSTRACT FROM PUBLISHER]

We aimed to develop deep learning (DL) models to detect protein expression in immunohistochemically (IHC) stained tissue-sections, and to compare their accuracy and performance with manually scored clinically relevant proteins in common cancer types. Five cancer patient cohorts (colon, two prostate, breast, and endometrial) were included. We developed separate DL models for scoring IHC-stained tissue-sections with nuclear, cytoplasmic, and membranous staining patterns. For training, we used images with annotations of cells with positive and negative staining from the colon cohort stained for Ki-67 and PMS2 (nuclear model), the prostate cohort 1 stained for PTEN (cytoplasmic model) and β-catenin (membranous model). The nuclear DL model was validated for MSH6 in the colon, MSH6 and PMS2 in the endometrium, Ki-67 and CyclinB1 in prostate, and oestrogen and progesterone receptors in the breast cancer cohorts. The cytoplasmic DL model was validated for PTEN and Mapre2, and the membranous DL model for CD44 and Flotillin1, all in prostate cohorts. When comparing the results of manual and DL scores in the validation sets, using manual scores as the ground truth, we observed an average correct classification rate of 91.5 % (76.9-98.5 %) for the nuclear model, 85.6 % (73.3-96.6 %) for the cytoplasmic model, and 78.4 % (75.5-84.3 %) for the membranous model. In survival analyses, manual and DL scores showed similar prognostic impact, with similar hazard ratios and p-values for all DL models. Our findings demonstrate that DL models offer a promising alternative to manual IHC scoring, providing efficiency and reproducibility across various data sources and markers., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Author(s).)

Multiplex immunofluorescence (mIF) imaging can provide comprehensive quantitative and spatial information for multiple immune markers for tumour immunoprofiling. However, application at scale to clinical trial samples sourced from multiple institutions is challenging due to pre-analytical heterogeneity. This study reports an analytical approach to the largest multi-parameter immunoprofiling study of clinical trial samples to date. We analysed 12,592 tissue microarray (TMA) spots from 3,545 colorectal cancers sourced from more than 240 institutions in two clinical trials (QUASAR 2 and SCOT) stained for CD4, CD8, CD20, CD68, FoxP3, pan-cytokeratin, and DAPI by mIF. TMA slides were multi-spectrally imaged and analysed by cell-based and pixel-based marker analysis. We developed an adaptive thresholding method to account for inter- and intra-slide intensity variation in TMA analysis. Applying this method effectively ameliorated inter- and intra-slide intensity variation improving the image analysis results compared with methods using a single global threshold. Correlation of CD8 data derived by our mIF analysis approach with single-plex chromogenic immunohistochemistry CD8 data derived from subsequent sections indicates the validity of our method (Spearman's rank correlation coefficients ρ between 0.63 and 0.66, p ≪ 0.01) as compared with the current gold standard analysis approach. Evaluation of correlation between cell-based and pixel-based analysis results confirms equivalency (ρ > 0.8, p ≪ 0.01, except for CD20 in the epithelial region) of both analytical approaches. These data suggest that our adaptive thresholding approach can enable analysis of mIF-stained clinical trial TMA datasets by digital pathology at scale for precision immunoprofiling., (© 2023 The Authors. The Journal of Pathology: Clinical Research published by The Pathological Society of Great Britain and Ireland and John Wiley & Sons Ltd.)