Cervical cytology and HPV distribution in Cape Verde: A snapshot of a country taken during its first HPV nation-wide vaccination campaign.

Cervical cancer ranks as the third most common female cancer in Cape Verde and is the leading cause of cancer-related deaths among women in the country. While Human Papillomavirus (HPV) vaccination, which started in 2021, is anticipated to significantly reduce disease incidence, cervical screening remains crucial for non-vaccinated women. We retrospectively reviewed gynecologic cytology exams and HPV tests performed in Cape Verde between 2017 and April 2023 and processed at IMP Diagnostics. For this study, we considered 13035 women with cytology examinations performed and, 2013 of these, also with an HPV molecular test. Cytology diagnostics comprised 83 % NILM cases; 12 % ASC-US; 2.7 % LSIL; 1.2 % ASC-H; 0.5 % HSIL and 0.1 % SCC. In 505 (25.1 %) high-risk HPV infection was detected. Prevalence of HPV infection varied with age, peaking at young ages - ≤24 years old (55.5 %) and 25-35-year-old women (31.5 %) - and the lowest after 66 years old (9.7 %). Herein we present a comprehensive study regarding Cape Verde's cervical cytology and HPV distribution, aiming to provide a snapshot of the country's cervical cytology results and HPV distribution in recent years. Moreover, these data may contribute to establish a baseline to assess, in the future, the vaccination impact in the country.

Annotating for Artificial Intelligence Applications in Digital Pathology: A Practical Guide for Pathologists and Researchers.

Training machine learning models for artificial intelligence (AI) applications in pathology often requires extensive annotation by human experts, but there is little guidance on the subject. In this work, we aimed to describe our experience and provide a simple, useful, and practical guide addressing annotation strategies for AI development in computational pathology. Annotation methodology will vary significantly depending on the specific study's objectives, but common difficulties will be present across different settings. We summarize key aspects and issue guiding principles regarding team interaction, ground-truth quality assessment, different annotation types, and available software and hardware options and address common difficulties while annotating. This guide was specifically designed for pathology annotation, intending to help pathologists, other researchers, and AI developers with this process.

Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities.

Digital pathology (DP) is being deployed in many pathology laboratories, but most reported experiences refer to public health facilities. In this paper, we report our experience in DP transition at a high-volume private laboratory, addressing the main challenges in DP implementation in a private practice setting and how to overcome these issues. We started our implementation in 2020 and we are currently scanning 100% of our histology cases. Pre-existing sample tracking infrastructure facilitated this process. We are currently using two high-capacity scanners (Aperio GT450DX) to digitize all histology slides at 40×. Aperio eSlide Manager WebViewer viewing software is bidirectionally linked with the laboratory information system. Scanning error rate, during the test phase, was 2.1% (errors detected by the scanners) and 3.5% (manual quality control). Pre-scanning phase optimizations and vendor feedback and collaboration were crucial to improve WSI quality and are ongoing processes. Regarding pathologists' validation, we followed the Royal College of Pathologists recommendations for DP implementation (adapted to our practice). Although private sector implementation of DP is not without its challenges, it will ultimately benefit from DP safety and quality-associated features. Furthermore, DP deployment lays the foundation for artificial intelligence tools integration, which will ultimately contribute to improving patient care.

Loss of beta-catenin is associated with poor survival in ovarian carcinomas.

The catenins (alpha-, beta- and gamma-) are cytoplasmic proteins that bind to the conserved tail of the epithelial cadherin molecule. The function of epithelial cadherin at the adherens junctions is dependent on the catenins for efficient cell-to-cell adhesion. Loss of catenin expression has been reported in several human cancers and associated with poor tumor differentiation, advanced tumor stage, and poor patient survival. In this study, we investigated the clinical relevance of alpha-, beta-, and gamma-catenin immunoexpression in 104 cases of primary ovarian carcinoma with respect to clinicopathological features and as predictors of disease recurrence and prognosis. The clinicopathological parameters studied were International Federation of Gynaecology and Obstetrics (FIGO) stage, histological type, tumor differentiation, peritoneal metastases, residual postoperative tumor, integrity of the tumor's serosal surface, peritoneal cytology, and lymphatic/vascular invasion. Negative immunoreactivity of alpha-catenin, beta-catenin, and gamma-catenin was observed in 22 (21%), 15 (14%) and 23 (22%) cases, respectively. Immunoreactivity of alpha-catenin and gamma-catenin did not correlate with any of the clinicopathological parameters tested. The immunoexpression pattern of beta-catenin correlated with histological type (p = 0.026) and with a poorer overall survival in univariate analyses (p = 0.022). In the group of serous carcinomas, beta-catenin-immunoexpression associated significantly with overall survival. Patients with beta-catenin-negative serous carcinomas had a poorer overall survival than patients with beta-catenin-positive serous carcinomas (p = 0.013). In the multivariate analysis, negative expression of beta-catenin (p = 0.003) and the presence of residual tumor (p = 0.019) were the two most important independent prognostic factors predicting poorer overall survival. In conclusion, negative immunoreactivity of beta-catenin in serous carcinomas and the presence of residual tumor seem to be useful markers in selecting patients likely to have an unfavorable course.

Association of E-cadherin and beta-catenin immunoexpression with clinicopathologic features in primary ovarian carcinomas.

Epithelial cadherin forms a complex with alpha-, beta-, and gamma-catenin proteins. Reduced expression of E-cadherin-catenins has been shown in human carcinomas and is associated with low histologic differentiation, increased risk of invasion, and metastatic disease. The immunoexpression pattern of E-cadherin and beta-catenin (reduced versus preserved phenotype) was evaluated in 104 primary ovarian carcinomas and related to clinicopathologic features of the tumors. The immunoexpression pattern of E-cadherin was associated with International Federation of Gynaecology and Obstetrics (FIGO) staging (P = 0.043), histologic subtype (P = 0.001), peritoneal metastasis (P = 0.006), and residual tumor (P = 0.036). The reduced phenotype of E-cadherin that was observed in 64% of the carcinomas (67/104) was associated with advanced stage tumors, serous carcinomas, presence of peritoneal metastasis, and residual tumor larger than 2 cm. The immunoexpression pattern of beta-catenin was associated with histologic subtype (P = 0.005), tumor differentiation (P = 0.025), and peritoneal metastasis (P = 0.041). The reduced phenotype of beta-catenin that was observed in 74% of the carcinomas (77/104) was associated with advanced stage tumors, poorly differentiated serous and clear cell carcinomas, presence of peritoneal metastasis, and residual tumor. The immunoexpression pattern of E-cadherin was correlated with beta-catenin (P = 0.001). The reduced phenotype for both E-cadherin and beta-catenin was associated with histologic subtype (P < 0.001) and peritoneal metastasis (P = 0.001). In conclusion, the immunohistochemical profile of E-cadherin and beta-catenin may be useful in identifying a particular subpopulation of ovarian cancer patients who are characterized by an adverse clinical outcome, because the reduced phenotype of these molecules was associated with poor tumor differentiation, peritoneal metastasis, and advanced FIGO stage tumors.