Inflammatory infiltrates in melanocytic lesions / Infiltrados inflamatorios en lesiones melanocíticas

SUMMARY: Inflammatory infiltrates are frequently present in melanocytic lesions, with different distribution and composition. Much attention has been devoted to tumor-infiltrating lymphocytes (TIL) in the tumor microenvironment, establishing their prognostic and predictive value in many malignancies, including melanoma. However, lymphocytes, albeit the most numerous and consistent presence, constitute only part of the immune microenvironment. Other inflammatory cells, including neutrophils, plasma cells, eosinophils and mast cells, are found in melanoma and other melanocytic lesions.Few studies offer a detailed count of these inflammatory infiltrates across the spectrum of melanocytic lesions. By using whole slide image analysis and open source software, in the present study we report the enumeration of different inflammatory infiltrates in benign melanocytic nevi, dysplastic nevi, melanoma in situ and invasive malignant melanomas. Significant higher numbers of plasma cells and neutrophils were observed in melanoma. These results indicate that composition of the inflammatory infiltrate may contribute to the diagnostic algorithm of melanocytic lesions.

RESUMEN: Los infiltrados inflamatorios están presentes con frecuencia en las lesiones melanocíticas, con diferente distribución y composición. Se ha prestado mucha atención a los linfocitos infiltrantes de tumores (TIL) en el microambiente tumoral, estableciendo su valor pronóstico y predictivo en muchas neoplasias malignas, incluido el melanoma. Sin embargo, los linfocitos de presencia más numerosa y constante, constituyen solo una parte del microambiente inmunológico. Otras células inflamatorias, incluidos neutrófilos, células plasmáticas, eosinófilos y mastocitos, se encuentran en el melanoma y otras lesiones melanocíticas. Pocos estudios ofrecen un recuento detallado de estos infiltrados inflamatorios en todo el espectro de lesiones melanocíticas. Mediante el uso de análisis de imágenes de diapositivas completas y software de código abierto, en el presente estudio informamos la enumeración de diferentes infiltrados inflamatorios en nevos melanocíticos benignos, nevos displásicos, melanoma in situ y melanomas malignos invasivos. Se observaron números significativamente más altos de células plasmáticas y neutrófilos en el melanoma. Estos resultados indican que la composición del infiltrado inflamatorio puede contribuir al algoritmo diagnóstico de las lesiones melanocíticas.

Comparison of evaluation techniques, including digital image analysis, for MYC protein expression by immunohistochemical stain in aggressive B-cell lymphomas.

Incorporation of an MYC immunohistochemical stain in the workup of large B-cell lymphomas has become common in hematopathology practice. Evaluation of this stain can be difficult because of staining heterogeneity and can have interobserver variability, particularly when performed on the entire tumor sections. We identified 87 cases of aggressive B-cell lymphoma (34 core needle and 53 excisional biopsies) and compared the following methods of MYC immunohistochemical staining evaluation: the original pathologist's interpretation, a systematic retrospective method of evaluation by manual analysis, and a retrospective method of evaluation by digital image analysis (using scanned slides analyzed via the Aperio Nuclear algorithm). Overall, concordance among these methods was around 80% with κ statistics showing good agreement. However, nearly one-third of our cases had a percent MYC positivity in the 30% to 50% range, and for these cases, concordance among the various methods was marginal/poor. This suggests limited utility as a prognostic or predictive marker using 40% as a cutoff value. In our series, core biopsy specimens were poor predictors of MYC gene rearrangement, and there was no association between MYC immunohistochemical stain and MYC gene gain/amplification. Our retrospective digital image analysis showed strong correlation in MYC percent positivity with our retrospective manual review (correlation coefficient of 0.90) and similar concordance to pathologist interpretation as among pathologists, suggesting that digital image analysis is a viable alternative to manual determination of MYC percent positivity. Digital image analysis provides further opportunities for more sophisticated and standardized scoring systems, which may be helpful in future prognostic/predictive studies.