MALDI-TOF-MS analysis in discovery and identification of serum proteomic patterns of ovarian cancer.

ABSTRACT:

Background

Due to high mortality and lack of efficient screening, new tools for ovarian cancer (OC) diagnosis are urgently needed. To broaden the knowledge on the pathological processes that occur during ovarian cancer tumorigenesis, protein-peptide profiling was proposed.

Methods

Serum proteomic patterns in samples from OC patients were obtained using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF). Eighty nine serum samples (44 ovarian cancer and 45 healthy controls) were pretreated using solid-phase extraction method. Next, a classification model with the most discriminative factors was identified using chemometric algorithms. Finally, the results were verified by external validation on an independent test set of samples.

Result

SUBMITTER: Swiatly A 

PROVIDER: S-EPMC5501370 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature