Articular chondral lesions, caused either by trauma or chronic cartilage diseases such as osteoarthritis, present very low ability to self-regenerate. Thus, their current management is basically symptomatic, progressing very often to invasive procedures or even arthroplasties. The use of amniotic fluid stem cells (AFSCs), due to their multipotentiality and plasticity, associated with scaffolds, is a promising alternative for the reconstruction of articular cartilage. Therefore, this study aimed to investigate the chondrogenic potential of AFSCs in a micromass system (high-density cell culture) under insulin-like growth factor 1 (IGF-1) stimuli, as well as to look at their potential to differentiate directly when cultured in a porous chitosan-xanthan (CX) scaffold. The experiments were performed with a CD117 positive cell population, with expression of markers (CD117, SSEA-4, Oct-4 and NANOG), selected from AFSCs, after immunomagnetic separation. The cells were cultured in both a micromass system and directly in the scaffold, in the presence of IGF-1. Differentiation to chondrocytes was confirmed by histology and by using immunohistochemistry. The construct cell-scaffold was also analyzed by scanning electron microscopy (SEM). The results demonstrated the chondrogenic potential of AFSCs cultivated directly in CX scaffolds and also in the micromass system. Such findings support and stimulate future studies using these constructs in osteoarthritic animal models.

The poor prognosis of head and neck cancer (HNC) is associated with metastasis within the lymph nodes (LNs). Herein, the proteome of 140 multisite samples from a 59-HNC patient cohort, including primary and matched LN-negative or -positive tissues, saliva, and blood cells, reveals insights into the biology and potential metastasis biomarkers that may assist in clinical decision-making. Protein profiles are strictly associated with immune modulation across datasets, and this provides the basis for investigating immune markers associated with metastasis. The proteome of LN metastatic cells recapitulates the proteome of the primary tumor sites. Conversely, the LN microenvironment proteome highlights the candidate prognostic markers. By integrating prioritized peptide, protein, and transcript levels with machine learning models, we identify nodal metastasis signatures in blood and saliva. We present a proteomic characterization wiring multiple sites in HNC, thus providing a promising basis for understanding tumoral biology and identifying metastasis-associated signatures.

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Pleomorphic adenoma (PA) is the most common salivary gland tumor, accounting for 50%–60% of these neoplasms. If untreated, 6.2% of PA may undergo malignant transformation to carcinoma ex-pleomorphic adenoma (CXPA). CXPA is a rare and aggressive malignant tumor, whose prevalence represents approximately 3%–6% of all salivary gland tumors. Although the pathogenesis of the PA-CXPA transition remains unclear, CXPA development requires the participation of cellular components and the tumor microenvironment for its progression. The extracellular matrix (ECM) comprises a heterogeneous and versatile network of macromolecules synthesized and secreted by embryonic cells. In the PA-CXPA sequence, ECM is formed by a variety of components including collagen, elastin, fibronectin, laminins, glycosaminoglycans, proteoglycans, and other glycoproteins, mainly secreted by epithelial cells, myoepithelial cells, cancer-associated fibroblasts, immune cells, and endothelial cells. Like in other tumors including breast cancer, ECM changes play an important role in the PA-CXPA sequence. This review summarizes what is currently known about the role of ECM during CXPA development.

Objective To evaluate the prognosis of endocervical adenocarcinomas after reclassification according to the morphologic type based on the 2020 World Health Organization Classification. Methods A retrospective longitudinal study with cases admitted at the University of Campinas, Brazil, from 2013 to 2020. The sample included 140 cases morphologically reclassified: 100 cases as adenocarcinoma HPV‐associated (HPVA), 17 as HPV‐independent (HPVI), and 23 non‐HPVA/HPVI. Clinic and pathologic variables were evaluated. Analyses were performed by χ2, Fisher exact, and Mann–Whitney U tests, Kaplan–Meier curves, Log‐rank test, and Cox regression. Results Compared with the HPVA group, advanced stage (FIGO Stage II+) was more frequent in the HPVI group (P = 0.009), which also showed older patients (P = 0.032), and a higher proportion of deaths (P = 0.006). The median overall survival (OS) differed between groups: 73.3 months in HPVA and 42.4 months in HPVI (P = 0.005). At the multivariate analysis, the risk of death was 6.7 (95% confidence interval 1.9–23.0) times higher in patients diagnosed in advanced stages. Conclusion HPVI cases were more frequent in older patients, presenting at more advanced stages and with worse OS. The morphology‐based approach of the new WHO classification appears to be prognostically valuable and applicable in lower‐ and middle‐income settings.