New Prognostic and Predictive Markers in Cancer Progression

• Other Authors: Costantini, Susan (Editor), Budillon, Alfredo (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Subjects: Medicine; MSI2; OSCC; oral cancer; musashi 2; prognosis; N-cadherin; EMT; breast cancer; new metastasis; eribulin; blood; biomarker; bladder cancer; immune checkpoint inhibitor; CD8+ T effector cells; microRNA; biomarkers; head and neck cancer; laryngeal cancer; prediction; metastasis; lifestyle habit; chemo-/radio resistance; therapeutic target; AKT; AR; castration-resistant prostate cancer (CRPC); MAPK; mTOR; PI3K; prostate cancer; therapeutic resistance; WNT; miRNA; melanoma; melanoma resistance to MAPK/MEK inhibitors; resistance to immune checkpoint inhibitors; TNBC; BRCA1/2; HRR; PDL1; TILs; PI3KCA; PTEN; CTCs; CSC; pancreatic cancer; K-RAS oncogene; oncogene dependency; targeted therapies; genomic mutations; transcriptomics; metabolomics; selenoproteins; cancer; HUB nodes; major histocompatibility complex (MHC); human leukocyte antigen (HLA); antigen processing machinery (APM) molecules; carcinogenesis; tumor predisposition; cancer immunotherapy; pheochromocytoma; paraganglioma; head and neck neoplasms; head and neck tumors; genetic syndromes; mutations; hyperglycemia; cardioncology; nivolumab; cytokines; cardiotoxicity; acetyltransferase; cancer prognosis; NAA10; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

Biomarkers are of critical medical importance for oncologists, allowing them to predict and detect disease and to determine the best course of action for cancer patient care. Prognostic markers are used to evaluate a patient's outcome and cancer recurrence probability after initial interventions such as surgery or drug treatments and, hence, to select follow-up and further treatment strategies. On the other hand, predictive markers are increasingly being used to evaluate the probability of benefit from clinical intervention(s), driving personalized medicine. Evolving technologies and the increasing availability of "multiomics" data are leading to the selection of numerous potential biomarkers, based on DNA, RNA, miRNA, protein, and metabolic alterations within cancer cells or tumor microenvironment, that may be combined with clinical and pathological data to greatly improve the prediction of both cancer progression and therapeutic treatment responses. However, in recent years, few biomarkers have progressed from discovery to become validated tools to be used in clinical practice. This Special Issue comprises eight review articles and five original studies on novel potential prognostic and predictive markers for different cancer types.