Salivary transcriptomic biomarkers for detection of ovarian cancer: For serous papillary adenocarcinoma

TL;DR: Salivary utilization should be carefully evaluated in relation to standardization of pre-analytical and analytical variables, such as collection and storage methods, analyte circadian variation, sample recovery, prevention of sample contamination and analytical procedures.

TL;DR: The role of salivary biomarkers as diagnostic tools for diagnosis of various systemic and local diseases is emphasized in this review paper.

TL;DR: The collection of saliva is simple, painless, cheap and safe, both for patients and medical staff, and the fact that it may be retrieved several times a day, which makes repeat analysis much easier.

TL;DR: Current basic knowledge of biomarkers is reviewed, their relation to different diseases and conditions are reviewed, and liquid biopsy for point-of-care applications is explored.

TL;DR: The most recent data on cancer incidence, mortality, and survival from the American Cancer Society (ACS) is presented in this paper, where the authors compare the three major cancer sites in men (lung, prostate, and colon and rectum [colorectum]) and in two major cancers sites in women (breast and colorectal) over a 15-year period.

TL;DR: Receiver-operating characteristic (ROC) plots provide a pure index of accuracy by demonstrating the limits of a test's ability to discriminate between alternative states of health over the complete spectrum of operating conditions.

TL;DR: A bioinformatics tool was developed and used to identify proteomic patterns in serum that distinguish neoplastic from non-neoplastic disease within the ovary, justifying a prospective population-based assessment of proteomic pattern technology as a screening tool for all stages of ovarian cancer in high-risk and general populations.

TL;DR: The ability of proteomic patterns to detect the presence of ovarian cancer had a sensitively of 100%, a specificity of 95%, and a positive predictive value of 94%.