Sentence examples for cancer profiling from inspiring English sources

The measurement of proteins in cancerous vs noncancerous tissues termed "cancer profiling" is a promising area for both biomarker discovery and growth in applications for healthcare.

GEO database records about three hundred gene expression cancer profiling studies in which MMP14 results to be up-regulated and frequently related to cancer progression.

Currently, multi-study datasets such as those collected in GeneSapiens, or the clinical data sets provided by large-scale international cancer profiling consortia such as TCGA or ICGC, easily contain hundreds to several thousands of samples.

This hypothesis is further strengthened by immunohistochemical studies [29], [30] and the cancer profiling database Oncomine™ (www.oncomine.org) which both reveal high overexpression of IL-11RA in prostate cancer compared to normal prostate tissue.

These data are in agreement with Oncomine cancer profiling database (www.oncomine.org).org

With the progress in cancer profiling, treatments will soon be customized for each individual.

Ullmannova and Popescu [ 14] first reported the downregulation of DLC-1 mRNA expression in CRCs utilizing cancer-profiling arrays.

In particular, ENVE reliably detects sCNAs in stromal-admixed tumor samples and is therefore expected to be broadly applicable across cancer-profiling studies.

To analyze the role of p63 in cancer development, we used Oncomine, an online cancer-profiling database, to investigate a potential correlation between p63 expression and cancer progression.

We then utilized the cancer-profiling database Oncomine™ [ 31, 32] and our own published studies [ 33, 34] to further explore the relative expression of HSPC111 in normal versus cancer tissues from a range of published gene expression arrays.

However, because most cancer-profiling studies are designed to include the collection of platform-matched normal samples (matched/unmatched with the tumors), this limitation is likely not burdensome.