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      Beyond matrix stiffness: targeting force-induced cancer drug resistance

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          Abstract

          During tumor progression, mechanical abnormalities in the tumor microenvironment (TME) trigger signaling pathways in cells that activate cellular programs, resulting in tumor growth and drug resistance. In this review, we describe mechanisms of action for anti-cancer therapies and mechanotransduction programs that regulate cellular processes, including cell proliferation, apoptosis, survival and phenotype switching. We discuss how the therapeutic response is impacted by the three main mechanical TME abnormalities: high extracellular matrix (ECM) composition and stiffness; interstitial fluid pressure (IFP); and elevated mechanical forces. We also review drugs that normalize these abnormalities or block mechanosensors and mechanotransduction pathways. Finally, we discuss current challenges and perspectives for the development of new strategies targeting mechanically induced drug resistance in the clinic.

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          Elements of cancer immunity and the cancer–immune set point

          Immunotherapy is proving to be an effective therapeutic approach in a variety of cancers. But despite the clinical success of antibodies against the immune regulators CTLA4 and PD-L1/PD-1, only a subset of people exhibit durable responses, suggesting that a broader view of cancer immunity is
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            5-fluorouracil: mechanisms of action and clinical strategies.

            5-fluorouracil (5-FU) is widely used in the treatment of cancer. Over the past 20 years, increased understanding of the mechanism of action of 5-FU has led to the development of strategies that increase its anticancer activity. Despite these advances, drug resistance remains a significant limitation to the clinical use of 5-FU. Emerging technologies, such as DNA microarray profiling, have the potential to identify novel genes that are involved in mediating resistance to 5-FU. Such target genes might prove to be therapeutically valuable as new targets for chemotherapy, or as predictive biomarkers of response to 5-FU-based chemotherapy.
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              Trends in GPCR drug discovery: new agents, targets and indications

              G protein-coupled receptors (GPCRs) are the most intensively studied drug targets, largely due to their substantial involvement in human pathophysiology and their pharmacological tractability. Here, we report the first analysis of all GPCR drugs and agents in clinical trials. This reveals the current trends across molecule types, drug targets and therapeutic indications, including showing that 481 drugs (~34% of all drugs approved by the FDA) act at 107 unique GPCR targets. Approximately 320 agents are currently in clinical trials, of which ~36% target 64 potentially novel GPCR targets without an approved drug, and the number of biological drugs, allosteric modulators and biased agonists has grown. The major disease indications for GPCR modulators show a shift towards diabetes, obesity, and Alzheimer’s disease, while other central nervous system disorders remain highly represented. The 227 (57%) non-olfactory GPCRs that are yet to be explored in clinical trials have broad untapped therapeutic potential, particularly in genetic and immune system disorders. Finally, we provide an interactive online resource to analyse and infer trends in GPCR drug discovery.
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                Author and article information

                Journal
                101665956
                44235
                Trends Cancer
                Trends Cancer
                Trends in cancer
                2405-8033
                2405-8025
                12 August 2023
                November 2023
                08 August 2023
                01 November 2023
                : 9
                : 11
                : 937-954
                Affiliations
                [1 ]Cancer Biophysics Laboratory, Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus
                [2 ]Department of Bioengineering and Hillman Cancer Center, University of Pittsburgh, PA, USA
                Author notes
                [* ]Correspondence: tstylian@ 123456ucy.ac.cy (T. Stylianopoulos) and ioz1@ 123456pitt.edu (I.K. Zervantonakis).
                Author information
                http://orcid.org/0000-0003-3633-0987
                http://orcid.org/0000-0003-2386-9553
                Article
                NIHMS1917649
                10.1016/j.trecan.2023.07.006
                10592424
                37558577
                f4b203ba-22f4-4f52-af2a-70c12c820dd1

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/).

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