Extramammary Paget Disease of Oral Mucosa: Case Report with Literature Review.

Extramammary Paget disease (EPMD) of the oral mucosa is an unusual and extremely rare condition, with fewer than ten cases documented. Here, we report a case of EMPD extensively involving oral mucosa and underlying salivary ducts in a 72-year-old male and review published clinical, histologic, immunophenotypic, and prognostic features of this rare entity.

Human papillomavirus 16/18/45 are not the most frequent genotypes in African American women: analysis in cervical Papanicolaou smears of women in an inner-city hospital.

INTRODUCTION: Cervical cancer is considered the most common human papillomavirus (HPV)-associated disease in women. Primary and secondary prevention methods have been established through Pap tests, HPV molecular testing, and vaccines. Although the most common high-risk HPV (HR-HPV) genotypes in the United States are 16, 18, and 45, there is reported ethnic disparity in the distribution of these genotypes. MATERIALS AND METHODS: Data analysis of HPV genotype results on cervical pap tests in our institution between late 2018 and early 2020 was performed. The distribution of HPV genotypes in each Bethesda category was evaluated. RESULTS: A total of 13,160 smears were evaluated; 75.5% were from African American women. Of those tested for HR-HPV (10,060), 1412 (14%) were HR-HPV positive. In all diagnostic categories of the Bethesda classification system, non-16/18/45 HR-HPV genotypes were more prevalent, ranging from 60.8% even in high-grade squamous intraepithelial lesion to 90.4% in negative for intraepithelial lesion or malignancy. CONCLUSIONS: In this study with a predominantly African American population, non-16/18/45 HR-HPV genotypes were prevalent in the majority (60.8%) of high-grade squamous intraepithelial lesion cases. Ethnic variability should be considered when deciding which HPV genotypes to integrate into the HPV vaccine.

Deep Learning-Based Pathology Image Analysis Enhances Magee Feature Correlation With Oncotype DX Breast Recurrence Score.

Background: Oncotype DX Recurrence Score (RS) has been widely used to predict chemotherapy benefits in patients with estrogen receptor-positive breast cancer. Studies showed that the features used in Magee equations correlate with RS. We aimed to examine whether deep learning (DL)-based histology image analyses can enhance such correlations. Methods: We retrieved 382 cases with RS diagnosed between 2011 and 2015 from the Emory University and the Ohio State University. All patients received surgery. DL models were developed to detect nuclei of tumor cells and tumor-infiltrating lymphocytes (TILs) and segment tumor cell nuclei in hematoxylin and eosin (H&E) stained histopathology whole slide images (WSIs). Based on the DL-based analysis, we derived image features from WSIs, such as tumor cell number, TIL number variance, and nuclear grades. The entire patient cohorts were divided into one training set (125 cases) and two validation sets (82 and 175 cases) based on the data sources and WSI resolutions. The training set was used to train the linear regression models to predict RS. For prediction performance comparison, we used independent variables from Magee features alone or the combination of WSI-derived image and Magee features. Results: The Pearson's correlation coefficients between the actual RS and predicted RS by DL-based analysis were 0.7058 (p-value = 1.32 × 10-13) and 0.5041 (p-value = 1.15 × 10-12) for the validation sets 1 and 2, respectively. The adjusted R 2 values using Magee features alone are 0.3442 and 0.2167 in the two validation sets, respectively. In contrast, the adjusted R 2 values were enhanced to 0.4431 and 0.2182 when WSI-derived imaging features were jointly used with Magee features. Conclusion: Our results suggest that DL-based digital pathological features can enhance Magee feature correlation with RS.

Granulomas associated with renal neoplasms: A multi-institutional clinicopathological study of 111 cases.

AIMS: Formal depiction of granulomatous inflammation associated with renal neoplasms has mainly consisted of case reports. Herein, we investigate the clinicopathological features and potential significance of granulomas associated with renal tumours from a large multi-institutional cohort. METHODS AND RESULTS: One hundred and eleven study cases were collected from 22 institutions, including 57 partial nephrectomies and 54 radical nephrectomies. Patient ages ranged from 27 to 85 years (average = 60.1 years; male = 61%). Renal neoplasms included clear cell renal cell carcinoma (RCC; 86%), papillary RCC (8%), chromophobe RCC (3%), clear cell papillary RCC (1%), mixed epithelial stromal tumour (1%) and oncocytoma (1%). Granulomas were peritumoral in 36%, intratumoral in 24% and both in 40% of cases. Total granuloma count per case ranged from one to 300 (median = 15) with sizes ranging from 0.15 to 15 mm (mean = 1.9 mm). Necrotising granulomas were seen in 14% of cases. Histochemical stains for organisms were performed on 45% of cases (all negative). Sixteen cases (14%) had a prior biopsy/procedure performed, and eight patients had neoadjuvant immunotherapy or chemotherapy. Eleven patients (10%) had a confirmed diagnosis of sarcoidosis, including five in whom sarcoidosis was diagnosed after nephrectomy. CONCLUSION: Based on this largest case-series to date, peri-/intratumoral granulomas associated with renal neoplasms may be more common than initially perceived. The extent of granulomatous inflammation can vary widely and may or may not have necrosis with possible aetiologies, including prior procedure or immunotherapy/chemotherapy. Although a clinical association with sarcoidosis is infrequent it can still occur, and the presence of granulomas warrants mention in pathology reports.

Sebaceous Lymphadenoma: Radiology-Pathology Correlation.

Sebaceous lymphadenoma is a rare salivary gland neoplasm most commonly occurring in the sixth to eighth decades of life. Cross sectional imaging typically demonstrates a multicystic expansile mass, most commonly occurring in the parotid gland, where the radiographic differential diagnosis would include Warthin tumor in this location and age group. Ultimately, the diagnosis is confirmed with the histopathologic findings of tubuloglandular epithelial profiles with sebaceous differentiation and cystic change set within a dense, benign lymphocytic infiltrate. These features are exemplified in this sine qua non radiology-pathology correlation article.

Prevalence and Detection of Sexually Transmitted Cases of Laryngeal Carcinoma.

INTRODUCTION: Human papillomavirus (HPV) is among the reported etiologies of laryngeal squamous cell carcinoma (LSCC). Understanding the impact of HPV on LSCC may help reduce its incidence. This study investigates the association between HPV and LSCC as well as the roles for different immunohistochemical stains in HPV detection. METHODS: A total of fifty-two formalin-fixed, paraffin-embedded tissue samples of LSCC, diagnosed between 2005 and 2015, were obtained from the archives of the Pathology Department. The samples were stained and processed to evaluate the relationship of HPV to LSCC. RESULTS: Patients had a mean age of 65.02 ± 14.341 years. By polymerase chain reaction (PCR), high-risk strains of HPV were detected in 15.4% of tissue samples. HPV-16 was found in 75% of the positive samples for an overall prevalence of 13.5%. P16 immunostaining was positive in 15.4% of cases while cyclin B and cyclin E were positive in 65.4% and 76.9%, respectively. Over half of the cases were histologically graded as moderately-differentiated, 28.8% as well-differentiated, and 15.4% as poorly-differentiated. DISCUSSION: The prevalence of HPV-positive LSCC was lower than previously stated in the literature. HPV-16 was the most commonly detected subtype, in concordance with the findings of multiple other studies. HPV-positive LSCC trended with higher histologic grade. P16 and cyclin E immunohistochemical stains were of limited use in identifying HPV in LSCC. In contrast, cyclin B had a high sensitivity which could be used to rule out HPV in LSCC.