The identification of new molecular targets and biomarkers associated with high risk of
recurrence and response to therapy represents one of the main clinical challenges in the …

Background: Precision medicine puts forward customized healthcare for cancer patients. An
important way to accomplish this task is to stratify patients into those who may respond to a …

We propose an effective machine learning approach to identify group of interacting single
nucleotide polymorphisms (SNPs), which contribute most to the breast cancer (BC) risk by …

Abstract Effectively representing Medical Subject Headings (MeSH) headings (terms) such
as disease and drug as discriminative vectors could greatly improve the performance of …

Cancer origin determination combined with site-specific treatment of metastatic cancer
patients is critical to improve patient outcomes. Existing pathology and gene expression …

There are limited data on circulating, cell-free, tumour (ct) DNA analysis in locally advanced
rectal cancer (LARC). Digital droplet (dd) PCR was used to investigate KRAS/BRAF …

Objectives The aim of this study was to develop a new prognostic classification for epithelial
ovarian cancer (EOC) patients using gradient boosting (GB) and to compare the accuracy of …

Background The clinical implication of plasma ESR1 mutations in the estrogen receptor (ER)-
positive metastatic breast cancer (MBC) patients who had progressed after prior aromatase …

It is particularly important to provide precise therapies and understand tumor heterogeneity
based on the molecular typing of mutational landscape. However, the landscape of somatic …

IntroductionRenal cell carcinoma (RCC) is one of the most usual kidney's tumors. The
improvement of non-invasive biomarkers will make it feasible to investigate whose have …