{"id":50275,"date":"2020-09-25T00:00:00","date_gmt":"2020-09-24T23:00:00","guid":{"rendered":"http:\/\/www.pcb.ub.edu\/new-method-could-help-to-find-the-best-treatment-for-a-pediatric-cancer\/"},"modified":"2020-11-18T20:38:21","modified_gmt":"2020-11-18T19:38:21","slug":"new-method-could-help-to-find-the-best-treatment-for-a-pediatric-cancer","status":"publish","type":"post","link":"https:\/\/www.pcb.ub.edu\/en\/new-method-could-help-to-find-the-best-treatment-for-a-pediatric-cancer\/","title":{"rendered":"New method could help to find the best treatment for a pediatric cancer"},"content":{"rendered":"<p>Rhabdomyosarcoma (RMS) is a highly malignant cancer that typically develops from skeletal muscle cells and can arise in different parts of the body. It is most frequent in children, accounting for 5% of all pediatric tumors. Current treatments for RMS include chemotherapy, radiation, and surgery. However, the survival rates for high-risk patients have not improved in the past decades, and refractory\/relapsed patients present a bad prognosis as their response to current treatments is often insufficient to avoid cancer development.<\/p>\n<p>Now, IBEC researchers Clara Alcon, Albert Manzano, Josep Samitier and Joan Montero, from the Nanobioengineering group, together with researchers from VHIR, IDIBELL and IRSJD institutes, associated to hospitals, published in <em>Cell Death &amp; Disease<\/em>, a journal from Nature publishing group, a work that finds a novel effective sequential combination of drugs for this disease. The chemotherapeutic agent vincristine, currently used to treat RMS, with the BH3 mimetic S63845 was effective both <em>in vitro<\/em> and <em>in vivo<\/em> against RMS. This strategy increases the efficacy of current treatments while decreasing therapy-induced toxicity.<\/p>\n<p><strong>The key to a effective treatment is to favour apoptosis- death- in cancer cells<\/strong><\/p>\n<p>Therapy causes cancer cells\u2019 death mostly by apoptosis, a process controlled by the BCL-2 family of proteins. However, evasion of apoptosis is a hallmark of human cancers, and it is often promoted by an increase of anti-apoptotic BCL-2 family proteins expression. Targeting anti-apoptotic proteins represents a promising therapeutic approach to treat high-risk or relapsed RMS patients. In this regard, a novel class of therapeutics that precisely inhibit BCL-2 anti-apoptotic proteins, the so-called BH3 mimetics, could be used to overcome treatment resistance. This approach has a great therapeutic potential but the main challenge is to effectively guide the use of BH3 mimetics in the clinic.<\/p>\n<p>To solve this issue, in this recent work researchers from IBEC have utilized dynamic BH3 profiling (DBP)- a novel functional predictive biomarker \u2013 to identify anti-apoptotic adaptations upon treatment. Using this technology, the authors could determine sensitivity to BH3 mimetics, and overcome RMS resistance to chemotherapy. Specifically, they found that the MCL-1 inhibitor S63845 synergistically enhance the effect of vincristine, one of the most clinically used drugs to treat RMS both <em>in vitro<\/em> and <em>in vivo<\/em>.<\/p>\n<p><strong>Synthetic peptides can predict when tumor cells will stop responding to the treatment<\/strong><\/p>\n<p>In this study researchers have investigated the use of BH3 mimetics to boost RMS sensitivity to current chemotherapy. They identified anti-apoptotic adaptations to common therapies such as vincristine and doxorubicin and tested them in combination with BH3 mimetics to achieve a high cytotoxicity, around 80%, while decreasing ten-fold their concentration, thus their potential secondary effects in the clinic.<\/p>\n<p>The authors found three new combinations of currently used drugs to treat RMS (that induce apoptosis) with specific anti-apoptotic inhibitors, that killed cancer cells without affecting non-tumoral. In addition, those combinations when applied sequentially acted synergistically, which allowed a dose reduction. This is a key aspect of the work, as secondary effects derived from chemotherapy administration in children are severe and may include infertility, cardiomyopathy, or the appearance of other cancers. By using this new methodology, the timing and dosage of drug administration can be optimized to reduce those undesired side effects.<\/p>\n<p>This strategy was validated <em>in vivo<\/em> using a RMS patient-derived xenograft model, where some cells from a patient\u2019s tumor were implanted and expanded in mice. This technique provides more material to be used in the laboratory and is advantageous in pre-clinical research as they recapitulate patients\u2019 therapeutic response. The authors observed a reduction in tumor growth after the sequential combination of vincristine and MCL-1 inhibitor S63845 identified <em>in vitro <\/em>compared to single agents\u2019 treatment.<\/p>\n<p><strong>Reference article:<\/strong><\/p>\n<p>Clara Alcon, Albert Manzano-Mu\u00f1oz, Estela Prada, Jaume Mora, Aroa Soriano, Gabriela Guill\u00e9n, Soledad Gallego, Josep Roma, Josep Samitier, Alberto Villanueva, Joan Montero. <a href=\"https:\/\/www.nature.com\/articles\/s41419-020-02887-y.pdf\">Sequential combinations of chemotherapeutic agents with BH3 mimetics to treat rhabdomyosarcoma and avoid resistance.<\/a> Cell Death and Disease (2020) 11:634.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A study led by IBEC researchers from the Nanobioengineering group, uses a functional predictive biomarker to anticipate the effect of treatments against rhabdomyosarcoma, the most common soft-tissue cancer affecting childhood and adolescence.<\/p>\n","protected":false},"author":1,"featured_media":27377,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[36],"tags":[],"class_list":["post-50275","post","type-post","status-publish","format-standard","has-post-thumbnail","category-science"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - 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