Publications by authors named "M Porru"

Glioblastoma (GBM) is a highly aggressive brain cancer with poor clinical outcome. Unfortunately, chemotherapy with temozolomide (TMZ) has a limited efficacy due to resistance mainly attributed to O6-methylguanine methyl transferase (MGMT) activity. Recently, miR-603 and miR-221 have been identified to target MGMT, thus improving the efficacy of temozolomide (TMZ) in the treatment of GBM.

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Background: Breast Cancer (BC) can be classified, due to its heterogeneity, into multiple subtypes that differ for prognosis and clinical management. Notably, triple negative breast cancer (TNBC) - the most aggressive BC form - is refractory to endocrine and most of the target therapies. In this view, taxane-based therapy still represents the elective strategy for the treatment of this tumor.

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Background: About 30% of Prostate cancer (PCa) patients progress to metastatic PCa that remains largely incurable. This evidence underlines the need for the development of innovative therapies. In this direction, the potential research focus might be on long non-coding RNAs (lncRNAs) like H19, which serve critical biological functions and show significant dysregulation in cancer.

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Article Synopsis
  • Scientists are looking for ways to use old drugs in new ways to fight cancer, especially a tough type called triple-negative breast cancer.
  • They tested 527 different drugs to find one that can damage telomeres (the ends of DNA) and help kill cancer cells.
  • They found that a drug called FK866 can do this by creating harmful substances that lead to DNA damage, which could help develop new cancer treatments.
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The therapeutic scenario of Human Epidermal Growth Factor Receptor 2 positive advanced breast cancer (ABC) has been recently enriched by a number of innovative agents, which are reshaping treatment sequence. While randomized trials have documented an advantage in terms of efficacy, for the newly available agents we lack effectiveness and tolerability evidence from the real-world setting. Similarly, the identification of predictive biomarkers might improve clinical decision.

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