Sentence examples for multiple tumor markers from inspiring English sources

A novel electrochemiluminescence (ECL) immunosensor array for the sequential detection of multiple tumor markers was developed by site-selectively immobilizing multiple antigens on different electrodes.

In order to decrease the information loss caused by single cutoff value and improve diagnosis efficiency (DE), we explore the integrative application of multiple tumor markers with multiple cutoff values systematically by developing an optimization algorithm named MVMTM.

Primary samples were co-stained with multiple tumor markers as described in the figure legend.

Here we have shown that correlation network methodology is useful for defining patient groups based on multiple tumor markers.

Moore et al. [ 12] determined multiple tumor markers in 156 healthy subjects and in 171 patients with endometrial cancer and found that HE4 expression at each stage of endometrial cancer was increased; the sensitivity of serum HE4 was higher than that of CA125.

▪ The work was mostly on human tumor samples by immunohistochemistry. TRIM59 may be used a novel multiple tumor marker for immunohistochemical detecting early tumorigenesis and could direct a novel strategy for molecular-targeted diagnosis and therapy of cancer.

Strengths and limitations of this study ▪ TRIM59 may be used a novel multiple tumor marker for immunohistochemical detecting early tumorigenesis and could direct a novel strategy for molecular-targeted diagnosis and therapy of cancer.

Clinically, the combinatorial use of multiple independent tumor markers is effective for detecting lung cancer.

Duplicate populations were included in the analysis only if they were investigated with multiple molecular methods and/or tumor markers.

Here we propose methodology based on weighted correlation network analysis for the simultaneous analysis of multiple tumor expression array (TMA) markers [ 10, 11].

This case illustrates the advantages inherent in utilizing multiple tumor-specific gene markers to identify early and specific changes in disease progression not detectable by standard imagery and biomarker analysis.