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Telomerase is reactivated in most cancers and is possibly an early driver event in melanoma. Our aim was to test a novel in situ hybridization technique, RNAscope, for the detection of human telomerase reverse transcriptase (hTERT) mRNA in archival formalin-fixed, paraffin-embedded (FFPE) tissue and to compare the mRNA expression of melanomas and benign naevi. Furthermore, we wanted to see if hTERT mRNA could be a diagnostic or prognostic marker of melanoma. In situ hybridization for the detection of hTERT mRNA was performed on FFPE tissue of 17 melanomas and 13 benign naevi. We found a significant difference in the expression of hTERT mRNA between melanomas and benign naevi (P<0.001) and the expression of hTERT mRNA correlated with Breslow thickness (ρ=0.56, P=0.0205) and the Ki67 proliferation index (ρ=0.72, P=0.001). This study showed that RNAscope was a reliable in situ hybridization method for the detection of hTERT mRNA in FFPE tissue of melanomas and benign naevi. hTERT mRNA was more abundantly expressed in melanomas compared with benign naevi, but cannot be used solely as a diagnostic marker due to an overlap in expression. The hTERT mRNA expression in melanomas correlated with the prognostic markers Breslow thickness and the Ki67 index indicating a prognostic potential of hTERT mRNA.

Putative cancer stem cell (CSC) markers have arisen from melanoma mouse and in vitro models, but their expression in paraffin embedded patient samples relative to clinical outcome remains largely unexplored. Rather than cells of the tumour bulk, conceivably, CSC drive tumour progression. Accordingly, complete eradication may prevent melanoma relapse. Because elevated tumour-cell proliferation is an established indicator of aggressive disease, this study aimed to investigate the correlation between melanoma recurrence and proliferation of putative CSC that express CD271, CD166, or CD20. Additionally, the expression of these markers was studied in naevi, melanomas, and their recurrence. In melanoma patients, 30 with relapse (cases) and 30 without (controls) were matched for tumour thickness, ulceration, Clark level, subtype, site, gender, and age. One paraffin-embedded section of the patients' primary melanoma (n = 60), relapse (n = 21), and naevus (n = 17) were immunohistochemically double-stained for Ki-67/MART1 and single-stained for CD271, CD166, and CD20. Their whole slide images were aligned as virtual quadruple stains. Image analysis established proliferation indices of each putative stem cell marker and the tumour bulk in addition to the markers' percentage level in tumour areas and the epidermis. In cases vs controls, median dermal proliferation indices (no./mm 2 ) were 211 vs 103 (p = 0.04) for CD271, 512 vs 227 (p = 0.3) for CD166, 184 vs 97 (p = 0.3) for CD20, and 95 vs 103 (p = 0.6) for the tumour bulk. Of additional interest, epidermal CD271 + keratinocytes totalled 8.8% in naevi and 0.98% in melanomas (p = 0.0007). Even though differences between naevi and melanomas also were observed for CD166 in both the epidermis (p = 0.002) and dermis (p = 0.006), they were visually less apparent. CD20 + MART1 + cells were absent in half of the melanomas, and all naevi and relapses. In conclusion, high levels of CD271 + Ki-67 + MART1 + cells were linked to melanoma relapse as opposed to common Ki-67 indices in this particular case-control study. With further investigation, such cells could be potential targets of therapy. Especially, loss of epidermal CD271 + keratinocytes seemed necessary for melanoma development; hence, identification may serve as a diagnostic tool with additional research., (Copyright © 2018 Royal College of Pathologists of Australasia. Published by Elsevier B.V. All rights reserved.)

Background: The increased risk of cardiovascular diseases in type 2 diabetes mellitus has been extensively documented, but the origins of the association remain largely unknown. We sought to determine changes in protein expressions in arterial tissue from patients with type 2 diabetes mellitus and moreover hypothesized that metformin intake influences the protein composition., Methods and Results: We analyzed nonatherosclerotic repair arteries gathered at coronary bypass operations from 30 patients with type 2 diabetes mellitus and from 30 age- and sex-matched nondiabetic individuals. Quantitative proteome analysis was performed by isobaric tag for relative and absolute quantitation-labeling and liquid chromatography-mass spectrometry, tandem mass spectrometry analysis on individual arterial samples. The amounts of the basement membrane components, α1-type IV collagen and α2-type IV collagen, γ1-laminin and β2-laminin, were significantly increased in patients with diabetes mellitus. Moreover, the expressions of basement membrane components and other vascular proteins were significantly lower among metformin users when compared with nonusers. Patients treated with or without metformin had similar levels of hemoglobin A1c, cholesterol, and blood pressure. In addition, quantitative histomorphometry showed increased area fractions of collagen-stainable material in tunica intima and media among patients with diabetes mellitus., Conclusions: The distinct accumulation of arterial basement membrane proteins in type 2 diabetes mellitus discloses a similarity between the diabetic macroangiopathy and microangiopathy and suggests a molecular explanation behind the alterations in vascular remodeling, biomechanical properties, and aneurysm formation described in diabetes mellitus. The lower amounts of basement membrane components in metformin-treated individuals are compatible with the hypothesis of direct beneficial drug effects on the matrix composition in the vasculature., (© 2015 American Heart Association, Inc.)

Background: Ki-67 immunohistochemical expression is a prognostic and predictive marker in many breast cancer studies. Instead of the conventional time-consuming score of Ki-67 single stains associated with low reproducibility, Ki-67/KL1 double stains may facilitate fast, repeatable quantification by digital image analysis. This study aims to detect the difference in accuracy and precision between manual indices of single and double stains, to develop an automated quantification of double stains, and to explore the relation between automated indices and tumor characteristics when quantified in different regions: hot spots, global tumor areas, and invasive fronts., Materials and Methods: Paraffin-embedded, formalin-fixed tissue from 100 consecutive patients with invasive breast cancer was immunohistochemically stained for Ki-67 and Ki-67/KL1. Ki-67 was manually scored in different regions by 2 observers and automated image analysis., Results: Indices were predominantly higher for single stains than double stains (P≤0.002), yet the difference between observers was statistically significant (P<0.001) for both stains. The Pearson correlation coefficient for manual and automated indices ranged from 0.69 to 0.85 (P<0.001). Hot spots were slightly superior to other regions when correlating automated indices with tumor characteristics, for example, tumor size (P<0.001), grade (P=0.009), and estrogen receptor status (P=0.04)., Conclusions: Although precision was unsatisfactory for manual indices of both stains, Ki-67 should be quantified on double stains to reach a higher accuracy. Automated indices correlated well with manual estimates and tumor characteristics, and they are thus possibly valuable tools in future exploration of Ki-67 in breast cancer.

Systematic validation of construction and analysis parameters when using tissue microarray (TMA) in rare, morphologically heterogenous entities such as peripheral T-cell lymphoma (PTCL) is not reported. We describe a tissue-saving virtual TMA to predetermine the number of cores needed to represent whole tissue sections (WTS) from the same biopsies, using automated and traditional manual methods for the quantification of immunohistochemical stains. Whole paraffin hematoxylin and eosin- and immunohistochemical (CD2, CD30, and Ki-67)-stained sections from 30 PTCLs were digitalized. A virtual TMA with six 1-mm cores per slide was designed to compare agreements in the immunohistochemical scoring. Using digital image analysis and manual stereological counting, immunohistochemical positivity was quantified. Associations were analyzed using the Bland-Altman and correlation plots. In PTCL, we report that 4 cores are required to represent WTS results (ie, agreement within ±10%). High concordance was demonstrated between digital results obtained with WTS compared with 4-core virtual TMA (correlation coefficients: 0.89-0.98), and in the comparative evaluation of 4-core virtual TMA by digital image analysis versus manual stereology (correlation coefficients: 0.91 to 0.99). Virtual TMAs provide an efficient tool for optimizing and validating TMA construction parameters when planning a study. The method can be applied to the same tissues used in a subsequent formal study, without wasting scarce tissue resources. In PTCL, TMAs constructed with four 1-mm cores are representative of WTS. In parallel tests using TMAs and WTS from PTCLs, there is a high level of agreement comparing automated digital with manual stereological methods for the quantification of immunohistochemical biomarker staining.

Distinction between benign and malignant melanocytic lesions may be difficult by today's methods, even for highly skilled dermatopathologists, emphasizing the need for improved diagnostic tools. We have studied the discriminative abilities of immunohistochemical (IHC) double stains using the IHC markers Ki67 combined with MART1, and HMB45 combined with MITF. Paraffin-embedded tissue sections from 50 melanomas and 78 benign nevi were stained using a simple simultaneous IHC double staining technique. Both simple semiquantitative estimates of the immunopositivity in the deepest third of the lesions and full-scale quantitative measurements of the Ki67 and HMB45 indices were performed, and scores for melanomas and nevi were compared. The differences between melanomas and nevi were significant (P < 0.0001) using either analysis or stain. The misclassification rates for melanomas and nevi were generally lower for Ki67/MART1 stains than for HMB45/MITF stains. In the simple semiquantitative Ki67/MART1 analysis, the misclassification rates were 6% (2%-17%) for melanomas and 12% (6%-21%) for nevi. In full-scale quantitative analysis the corresponding rates were 4% (1%-14%) and 8% (4%-16%), and by combining Ki67 and HMB45 indices, the misclassification rates were 0% (0%-7%) for melanomas and 13% (7%-22%) for nevi. We conclude that both semiscale and fullscale quantitative analyses of Ki67/MART1 stains are valuable diagnostic tools to distinguish melanomas and nevi with a large degree of certainty. The HMB45/MITF stains may serve as adjuncts to predict malignancy and the diagnostic potential of combining the HMB45 and Ki67 indices are promising. The IHC double stains may potentially reduce misinterpretations of melanomas in histopathology.