Expression of CK17 and SOX2 in Vulvar Intraepithelial Neoplasia: A Comprehensive Analysis of 150 Vulvar Lesions.

Background: Recently, the immunohistochemical markers cytokeratin 17 (CK17) and SRY-box2 (SOX2) have been evaluated as adjuncts for the diagnosis of high-grade vulvar intraepithelial neoplasia (VIN). In the present study, the aim was to assess CK17 and SOX2 expression in VIN by studying 150 vulvar lesions, originally reported as high-grade VIN and to assess the diagnostic accuracy.

Methods: All slides (H&E, p16, p53, Ki-67, CK17, and SOX2 stains) were independently assessed by six pathologists and the final diagnosis was reached in consensus meetings, as follows: 46 human papillomavirus (HPV)-independent VIN (including 30 p53 mutant and 16 p53 wild-type lesions), 58 high-grade squamous intraepithelial lesions (HSILs), 4 low-grade SILs (LSILs), 37 non-dysplastic lesions, and 5 lesions where the histology was inconclusive.

ZEB2 drives intra-tumor heterogeneity and skin squamous cell carcinoma formation with distinct EMP transition states.

About 5% of patients with cutaneous squamous cell carcinoma (cSCC) have a poor prognosis which is associated with a loss of tumor differentiation, invasion and metastasis, all of which are linked to the process of epithelial-to-mesenchymal plasticity (EMP). Here, we showed that the EMP-associated transcription factor ZEB2 drives cSCC heterogeneity which resembles biphasic carcinosarcoma-like tumors. Single cell RNA sequencing revealed distinct subpopulations ranging from fully epithelial (E) to intermediate (EM) to fully mesenchymal (M), associated with the gradual loss of cell surface markers EPCAM, CDH1, ITGB4, and CD200.

Associations of the gut microbiome with outcomes in cervical and endometrial cancer patients treated with pembrolizumab: Insights from the phase II PRIMMO trial.

Background: The phase II PRIMMO trial investigated a pembrolizumab-based regimen in patients with recurrent and/or metastatic cervical (CC) or endometrial (EC) carcinoma who had at least one prior line of systemic therapy. Here, exploratory studies of the gut microbiome (GM) are presented.

Methods: The microbial composition of 77 longitudinal fecal samples obtained from 35 patients (CC, n = 15; EC, n = 20) was characterized using 16S rRNA gene sequencing.

Assessing the impact of deep-learning assistance on the histopathological diagnosis of serous tubal intraepithelial carcinoma (STIC) in fallopian tubes.

In recent years, it has become clear that artificial intelligence (AI) models can achieve high accuracy in specific pathology-related tasks. An example is our deep-learning model, designed to automatically detect serous tubal intraepithelial carcinoma (STIC), the precursor lesion to high-grade serous ovarian carcinoma, found in the fallopian tube. However, the standalone performance of a model is insufficient to determine its value in the diagnostic setting.