… cancer. While early results are promising, this is a rapidly evolving field with new knowledge
emerging in both cancer … applied in cancer diagnosis, prognosis and treatment management…

Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …

… of all biological functions, cancer cells rely on the activity of … The major players in cancer
pH regulation are proton pump … cancer cells, including their diagnostic and prognostic value, …

… Before we cover extensively the role of miRNAs in the pathogenesis and diagnosis of
cancer, we can briefly summarize the action of miRNAs in non-cancer diseases, in order to fully …

… Unfortunately, CRC prognosis is still poor and the search of novel diagnostic and prognostic
… ) biomarkers for CRC diagnosis, prognosis, and response to treatment. Recent large-scale …

The prototypic head and neck squamous cell carcinoma (HNSCC) arises from the mucosal
lining of the upper aerodigestive tract, demonstrates squamous differentiation microscopically…

… prognosis and drug/radiation resistance. Strategies targeting survivin to treat breast cancer
… In this review, we summarize its role in breast cancer’s diagnosis, prognosis, and treatment, …

… Importantly, the association of miRNAs with cancer has prompted additional functional …
cancer diagnosis, prognosis and treatment. Keywords: miRNA, cancer, oncomiRs, anti-oncomiRs. …

… The detection of cancer-specific DNA methylation changes heralds an exciting new era
in cancer diagnosis as well as evaluation of prognosis and therapeutic responsiveness and …

… cancer diagnosis, prognosis, and treatment. Here, we summarize the effects of exosomal
proteins on cancer … of exosomal proteins in cancer diagnosis and prognosis, and the potential …