Extracellular vesicles in carcinoma microenvironment.

Cancer is a significant cause of death, precluding increasing life expectancy worldwide. That is a multifactorial disease initiated by intrinsic or extrinsic factors that induce cell differentiation into cancer cells. However, cancer development, progression, and metastasis are not controlled only by cancer cells. The entire environment around these cells, named tumor microenvironment (TME), influences tumor development and spread. The tumor microenvironment is formed by cancer cells and heterogenous nonmalignant cells integrated with a complex extracellular matrix. The main cellular components of the TME are cancer-associated fibroblasts (CAFs), T lymphocytes, B cells, tumor-associated macrophages (TAMs), dendritic cells (DC), natural killer (NK) cells, tumor-associated neutrophils (TANs), Stem Cells, Endothelial Cells and their soluble secreted extracellular vesicles (EVs) that modulate cancer cells to establish and disseminate. This review provides a recent insight into the role of EVs secreted from different populations of the TME associated with the initiation and progression of carcinoma.

Proteomic approaches to assist in diagnosis and prognosis of oral cancer.

Introduction: Oral squamous cell carcinoma (OSCC) ranks among the top 10 leading causes of cancer worldwide, with 5-year survival rate of about 50%, high lymph node metastasis, and relapse rates. The OSCC diagnosis, prognosis, and treatment are mostly based on the clinical TNM classification. There is an urgent need for the discovery of biomarkers and therapeutic targets to assist in the clinical decision-making process.Areas covered: We summarize proteomic studies of the OSCC tumor, immune microenvironment, potential liquid biopsy sites, and post-translational modifications trying to retrieve information in the discovery and verification or (pre)validation phases. The search strategy was based on the combination of MeSH terms and expert refinement.Expert opinion: Untargeted combined with targeted proteomics are strategies that provide reliable and reproducible quantitation of proteins and are the methods of choice of many groups worldwide. Undoubtedly, proteomics has been contributing to the understanding of OSCC progression and uncovers potential candidates as biomarker or therapeutic targets. Nevertheless, none of these targets are available in the clinical practice yet. The scientific community needs to overcome the limitations by investing in robust experimental designs to strengthen the value of the findings, leveraging the translation of knowledge, and further supporting clinical decisions.

A meta-analysis reveals the protein profile associated with malignant transformation of oral leukoplakia.

The search for biomarkers associated with oral leukoplakia malignant transformation is critical for early diagnosis and improved prognosis of oral cancer patients. This systematic review and meta-analysis aimed to assess protein-based markers potentially associated with malignant transformation of oral leukoplakia. Five database and the grey literature were searched. In total, 142 studies were included for qualitative synthesis, where 173 proteins were investigated due to their potential role in malignant progression from oral leukoplakia (OL) to oral squamous cell carcinoma (OSCC). The abundance of these proteins was analyzed in fixed tissues and/or biofluid samples, mainly by immunohistochemistry and ELISA, and 12 were shared by both samples. Enrichment analysis revealed that the differential abundant proteins are mostly involved with regulation of cell death, regulation of cell proliferation, and regulation of apoptotic process. Also, these proteins are mainly expressed in the extracellular region (55.5%), cell surface (24.8%), and vesicles (49.1%). The meta-analysis revealed that the proteins related to tumor progression, PD-L1, Mdm2, and Mucin-4 were significantly associated with greater abundance in OSCC patients, with an Odds Ratio (OR) of 0.12 (95% CI: 0.04-0.40), 0.44 (95% CI: 0.24-0.81), and 0.18 (95% CI: 0.04-0.86), respectively, with a moderate certainty of evidence. The results indicate a set of proteins that have been investigated across OSCC initiation and progression, and whose transcriptional expression is associated with clinical characteristics relevant to the prognosis and aggressiveness. Further verification and validation of this biomarkers set are strongly recommended for future clinical application.