Bozena Smolkova

Peripheral nerves provide a direct connection between the brain and the tumor microenvironment. This connection allows the nervous system to influence processes associated with the development, progression, and metastasis of different tumor types. Therefore, tumor innervation by peripheral nerve fibers is currently emerging as a characteristic that contributes to multiple hallmarks of cancer. Several experimental studies have shown that cancer progression involves actively inducing the ingrowth of autonomic and sensory nerve fibers into tumor tissue. In this process, known as neoaxonogenesis, cancer and other cells in the tumor microenvironment play an important role by synthesizing and releasing neurotrophic factors (e.g., nerve growth factor, brain-derived neurotrophic factor, glial cell line-derived neurotrophic factor), axonal guidance molecules (netrins, semaphorins, ephrins, slits), exosomes (containing microRNA and axonal guidance molecules), and other molecules present in the tumor microenvironment (e.g., granulocyte colony-stimulating factor, leukemia inhibitory factor), which modulate the ingrowth of nerve fibers into the tumor. This results in an increased nerve supply to tumor tissue, which is primarily linked to its growth. However, there are also studies demonstrating the protective effects of increased nerve fiber density against processes associated with cancer progression in certain types of cancer. The findings from these studies contribute to the complexity of neuro-cancer interactions, which is probably based on the type of cancer and the physiological specializations of the nerve fibers in a given organ. Despite contrasting findings, the stimulatory effects of nerve fibers on cancer growth are supported by several studies that described reducing the negative impact of nerve fibers on tumors and thus inhibiting cancer progression. The most significant approaches to reducing neural effects appear to be denervation, the administration of neurotransmitter receptor antagonists, the administration of local anesthetics, and the administration of antibodies against neurotrophic factors. Other significant approaches include methods that improve quality of life, such as psychotherapy and heart rate variability biofeedback. Despite their therapeutic potential, there are several limitations to using approaches that manipulate cancer innervation in clinical practice. These limitations include impaired normal tissue function and nervous system function, as well as the problematic direct application of the therapeutic agent to the tumor site, dosage-dependent, cancer type-dependent, cancer stage-dependent, duration-dependent, and timing-dependent effects. Procedures that modify neoaxonogenesis and nerve fiber signaling appear to be a promising new therapeutic approach in oncology. However, more research is needed to better understand their effects on cancer progression. In the future, the assessment of the presence and density of nerve fibers in tumors, as well as the evaluation of approaches aimed at reducing their negative impact, could be part of personalized anticancer therapy. As part of this therapy, a fresh tumor sample would be collected from the patient to generate patient-derived organoid models to test and consider the possibility of using supportive therapy and to predict its efficacy. Based on these results, it would be possible to evaluate the applicability of nerve-fiber-targeted therapy for a given patient. This review article summarizes and describes the current knowledge concerning the significance of nerve fibers in cancer progression, with a particular emphasis on neoaxonogenesis in tumors and the various factors that influence this process.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, primarily due to its highly fibrotic and immunosuppressive tumor micro

The pancreatic cancer-associated fibroblasts (pCAFs) are among the most active components of the pancreatic ductal adenocarcinoma (PDAC). The pCAFs being o

The study aimed to identify altered signaling pathways and potential non-invasive biomarkers for pancreatic neuroendocrine tumors (PanNETs) through transcriptomic profiling of tumor tissues. The analysis encompassed samples from non-functional PanNETs (NF-PanNETs), insulinomas, and tumor-adjacent pancreatic tissues (TAPT). In the differential expression analysis comparing PanNETs and TAPTs, we identified 1,210 differentially expressed genes at a false discovery rate significance threshold of < 0.05 and with Log2FoldChange values of > 0.5 and <−0.5. Further pathway enrichment analysis revealed a multitude of overrepresented signaling pathways related to cell proliferation, survival, and tumorigenesis. Significant findings included the Beta-catenin-independent and TCF-dependent WNT signaling pathways, MAPK1/MAPK3 signaling, and terms associated with PI3K/AKT/mTOR signaling. Among the list of DEGs, we also identified 28 upregulated genes encoding cell surface proteins and 24 upregulated genes encoding cancer-associated secretome proteins. Since the proteins of these genes are found in the bloodstream, there is potential for further testing of these markers as biomarkers for liquid biopsy assays. Overall, these findings underscore the promise of transcriptomic landscape analysis in identifying PanNET-specific non-invasive biomarkers and uncovering potential therapeutic targets.

Aims: Chemotherapy resistance remains a major challenge in breast cancer (BC) treatment. This study investigated whether resistance development is associated with DNA methylation changes and assessed the potential of the DNA methyltransferase inhibitor decitabine (DAC) to reverse these alterations and enhance chemosensitivity. Methods: Molecular profiling and functional assays were used to characterize paclitaxel-(PAC) and doxorubicin-(DOX) resistant BC cell lines derived from luminal A (T-47D), triple-negative (MDA-MB-231), and HER2-positive trastuzumab-resistant (JIMT-1) models. Therapeutic responses to DAC and DOX, alone and in combination, were evaluated in MDA-MB-231 xenografts. DNA methylation–associated gene expression changes were analyzed through integrative approaches. Results: Chemoresistant cells exhibited a slow-cycling phenotype, reduced tumorigenicity, and extensive genomic alterations. Upregulation of RELB and downregulation of PPARG were observed across several resistant cell lines, while CDA expression was uniformly elevated in all DOX-resistant models. PAC-resistant xenografts displayed widespread methylation and transcriptomic reprogramming. DAC treatment partially restored aberrant methylation patterns and increased Ki-67 expression, potentially enhancing DOX responsiveness. Conclusions: Chemoresistance in BC involves extensive genomic and epigenetic reprogramming. DAC modulates methylation and tumor phenotype but is insufficient to overcome resistance, highlighting the need for rational combination strategies. Graphical

Uveal melanoma (UM) is the most prevalent primary intraocular malignancy in adults, with prognosis significantly influenced by genetic and epigenetic factors. Reliable and cost-effective methods to detect chromosomal aberrations and DNA methylation changes are essential for improving prognostication and informing treatment strategies in UM. This study evaluated the effectiveness of multiplex ligation-dependent probe amplification (MLPA) in detecting UM-specific copy number variations (CNVs) and promoter methylation changes across 25 tumor suppressor genes (TSGs). DNA from 58 UM tissues was analyzed with the SALSA MLPA Probemix P027 Uveal melanoma kit, and a subset of 18 samples was further assessed using the SALSA MLPA Probemix ME002-C1 Tumour suppressor mix 2 kit to identify key CNVs and methylation alterations linked to poor prognosis. Validation was carried out with a high-resolution comparative genomic hybridization (CGH) array on 10 samples and the Illumina Infinium Methylation EPIC v1.0 BeadChip array on 25 samples. Our findings indicate that MLPA is a versatile and robust method for detecting CNVs, showing strong correlations with CGH data and highlighting specific CNV patterns linked to clinical outcomes in UM. However, the ME002-C1 kit showed limited utility for comprehensive methylation analysis, as differential methylation was not observed in the studied TSG loci. Although MLPA effectively identifies CNVs relevant to UM prognosis, integrating additional methylation-specific approaches could broaden the scope of DNA methylation analysis, offering a more comprehensive molecular understanding of UM that may enhance prognostication and personalized treatment.