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Medulloblastoma (MB) is the most common malignant brain tumour in children. High-risk MB patients harbouring MYC amplification or overexpression exhibit a very poor prognosis. Aberrant activation of MYC markedly reprograms cell metabolism to sustain tumorigenesis, yet how metabolism is dysregulated in MYC-driven MB is not well understood. Growing evidence unveiled the potential of BET-bromodomain inhibitors (BETis) as next generation agents for treating MYC-driven MB, but whether and how BETis may affect tumour cell metabolism to exert their anticancer activities remains unknown. In this study, we explore the metabolic features characterising MYC-driven MB and examine how these are altered by BET-bromodomain inhibition. To this end, we employed an NMR-based metabolomics approach applied to the MYC-driven MB D283 and D458 cell lines before and after the treatment with the BETi OTX-015. We found that OTX-015 triggers a metabolic shift in both cell lines resulting in increased levels of myo-inositol, glycerophosphocholine, UDP-N-acetylglucosamine, glycine, serine, pantothenate and phosphocholine. Moreover, we show that OTX-015 alters ascorbate and aldarate metabolism, inositol phosphate metabolism, phosphatidylinositol signalling system, glycerophospholipid metabolism, ether lipid metabolism, aminoacyl-tRNA biosynthesis, and glycine, serine and threonine metabolism pathways in both cell lines. These insights provide a metabolic characterisation of MYC-driven childhood MB cell lines, which could pave the way for the discovery of novel druggable pathways. Importantly, these findings will also contribute to understand the downstream effects of BETis on MYC-driven MB, potentially aiding the development of new therapeutic strategies to combat medulloblastoma., (© 2023. The Author(s).)

Non-small cell lung cancer (NSCLC) is the most common type of lung cancer and the ineffectiveness of the current therapies seriously limits the survival rate of NSCLC patients. In the search for new antitumor agents, nature has played a pivotal role providing a variety of molecules, which are likely to exert selective anti-tumour properties. Herein, we investigated the antiproliferative potential of Urtica dioica L. extract (UD) against NSCLC cell models with low sensitivity to cisplatin, a cytotoxic agent largely employed to cure NSCLCs. UD inhibited cell proliferation in the selected cells, while no toxic effects were observed in normal lung cells. Furthermore, the co-treatment of UD and cisplatin notably sensitised NSCLC cells to cisplatin. Mechanistically, we discovered that UD-promoted endoplasmic reticulum (ER) stress via activation of the growth arrest and DNA damage-inducible gene 153 (GADD153) triggering apoptosis. We also performed an extensive NMR analysis of UD, identifying rutin and oxylipins as the main secondary metabolites present in the mixture. Additionally, we discovered that an oxylipins' enriched fraction contributes to the antiproliferative activity of the plant extract. In the future, this study may provide new chemical scaffolds for the design of anti-cancer agents that target NSCLCs with low sensitivity to cisplatinum.

The discovery of bioactive compounds from natural sources entails an extremely lengthy process due to the timescale and complexity of traditional methodologies. In our study, we used a rapid NMR based metabolomic approach as tool to identify secondary metabolites with anti-proliferative activity against a panel of human colorectal cancer cell lines with different mutation profiles. For this purpose, fourteen Fabaceae species of Mediterranean vegetation were investigated using a double screening method: 1 H NMR profiling enabled the identification of the main compounds present in the mixtures, whilst parallel biological assays allowed the selection of two plant extracts based on their strong anti-proliferative properties. Using high-resolution 2D NMR spectroscopy, putative active constituents were identified in the mixture and isolated by performing a bio-guided fractionation of the selected plant extracts. As a result, we found two active principles: a cycloartane glycoside and protodioscin derivative. Interestingly, these metabolites displayed a preferential anti-proliferative effect on colon cancer cell lines with an intrinsic resistance to anti-EGFR therapies. Our work provides an NMR-based metabolomic approach as a powerful and efficient tool to discover natural products with anticancer activities circumventing time-consuming procedures.

Inter-observer variability and cancer over-diagnosis are emerging clinical problems, especially for follicular patterned thyroid lesions. This challenge strongly calls for a new clinical tool to reliably identify neoplastic lesions and to improve the efficiency of differentiation between benign and malignant neoplasms, especially considering the increased diagnosis of small carcinomas and the growing number of thyroid nodules. In this study, we employed a Raman spectroscopy (RS) microscope to investigate frozen thyroid tissues from fourteen patients with thyroid nodules. To generate tissue classification models, a supervised statistical analysis of the Raman spectra was performed. The results obtained demonstrate an accuracy of 78% for RS based diagnosis to discriminate between normal parenchyma and follicular patterned thyroid nodules, and 89% accuracy - for very challenging follicular lesions (carcinoma versus adenoma). RS translation into intraoperative diagnosis of frozen sections and in preoperative analysis of biopsies can be very helpful to reduce unnecessary surgery in patients with indeterminate cytological reports.