title: Novel technologies for oral squamous carcinoma biomarkers in diagnostics and prognostics.
abstract: BACKGROUND
  Oral squamous cell carcinoma (OSCC) is a highly prevalent malignant pathology of the oral cavity. Despite the significant progress accomplished in the field of OSCC, the diagnosis is performed mostly in advanced stages; thus, novel biomarkers need to be developed for the diagnostic and prognostic of this malignancy. Many new technologies are used to provide indispensable information related to the pathogenesis of OSCC. The molecular profiling studies that incorporate genetic and epigenetic alterations need to be integrated in clinical practice as routine approaches to facilitate a better diagnostic and prognostic.
  
  
  METHODS
  In this review, the authors present a summary of these novel technologies in the field of genomics, transcriptomics or proteomics, capable of generating data related to personalized diagnostic and treatment.
authors.affiliation: Department of Prosthodontics and Dental Materials, Faculty of Dental Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania.
authors.forename: Alexandra Iulia
authors.initials: AI
authors.lastname: Irimie
authors.forename: Cornelia
authors.initials: C
authors.lastname: Braicu
authors.forename: Roxana
authors.initials: R
authors.lastname: Cojocneanu-Petric
authors.forename: Ioana
authors.initials: I
authors.lastname: Berindan-Neagoe
authors.forename: Radu Septimiu
authors.initials: RS
authors.lastname: Campian
mesh_terms: D014408:Biomarkers, Tumor / Q000032:analysis* / Q000235:genetics; D002294:Carcinoma, Squamous Cell / Q000175:diagnosis* / Q000235:genetics; D055088:Early Detection of Cancer; D044127:Epigenesis, Genetic / Q000235:genetics; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D009062:Mouth Neoplasms / Q000175:diagnosis* / Q000235:genetics; D011379:Prognosis; D040901:Proteomics / Q000379:methods
chemical_list: D014408:Biomarkers, Tumor
keywords: biomarkers; oral squamous cell carcinoma; transcriptomics