2022
DOI: 10.3390/curroncol29020069
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Micro-RNAs, the Cornerstones of the Future of Radiobiology in Head and Neck Cancers?

Abstract: Even though it is only the 6th most common malignancy at the modal level, head and neck cancers are distinguished by a considerable treatment failure rate, especially by locoregional recurrences, the intrinsic tumor radioresistance being one of the causes of this phenomenon. The efforts of radiobiological research of these cancers are oriented towards the identification of biomarkers associated with radioresistance and radiosensitivity in order to modulate the treatment so that the therapeutic benefit is maxim… Show more

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Cited by 7 publications
(5 citation statements)
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“…However, the use of antidiabetic medications (metformin) can have beneficial effects by inhibiting tumor metabolic pathways. The biomarker role of LDH and AAPR in HNSCC patients with DM has been less evaluated (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13).…”
Section: Introductionmentioning
confidence: 99%
“…However, the use of antidiabetic medications (metformin) can have beneficial effects by inhibiting tumor metabolic pathways. The biomarker role of LDH and AAPR in HNSCC patients with DM has been less evaluated (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13).…”
Section: Introductionmentioning
confidence: 99%
“…MiRNA modulation of the tumor response to ionizing radiation has been reported in several studies (10,11). Growing evidence focuses only on HNCs (12). However, most miRNAs were identi ed using microarray methods, and few predict the prognosis of clinical patients.…”
Section: Introductionmentioning
confidence: 99%
“…Scientists are currently seeking to identify predictive biomarkers for such favorable responses to immunotherapy as head and neck tumors known to promote a highly immunosuppressive tumor microenvironment (TME). Programmed death ligand-1 (PD-L1), combined positive score (CPS), tumor mutation burden (TMB), and neutrophil-to-lymphocyte ratio (NLR) are being evaluated individually or in complex models to stratify HNSCC patients and identify who would benefit the most from ICI [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ]. Concurrently, radiomics, a new field of research based on artificial intelligence applied to medical imaging, promises to contribute meaningfully to this endeavor [ 4 ].…”
Section: Introductionmentioning
confidence: 99%