Topic
Expression index
About: Expression index is a research topic. Over the lifetime, 39 publications have been published within this topic receiving 1506 citations.
Papers
TL;DR: P-Akt-1 is most likely involved in the progression of prostate cancer and is an excellent biomarker for biochemical recurrence, and some patients might have an inherent predisposition to express a high level of P-AKT-1 and, therefore, to have an adverse prognosis.
Abstract: Akt is a serine-threonine-kinase that phosphorylates proteins in several pathways regulating aspects of metabolism, apoptosis, and proliferation. Akt signaling promotes proliferation and increased cell survival and is thought to play an important role in prostate cancer progression. Tissue microarrays (640 patients) with triplicate cores of non-neoplastic prostate, BPH, and index tumor were immunostained with antibody to Phospho-Akt (Ser473), digitized, and quantified. The expression index (Intensity*Percentage) was used for statistical analysis. P-Akt-1 staining was found in both the non-neoplastic and cancer tissues, predominantly in cytoplasmic locations. High level P-Akt-1 is expressed almost exclusively in cancer. By Kaplan-Meier actuarial model, high expression of P-Akt-1 in prostate cancer was predictive of a higher probability of recurrence on univariate and multivariate analysis. Akt-1 expression was an independent prognostic indicator of biochemical recurrence-free survival when Gleason 6 and 7 patients were analyzed separately. Surprisingly, a high level of P-Akt-1 expression in non-neoplastic tissues is also an independent predictor of biochemical recurrence. This suggests that some patients might have an inherent predisposition to express a high level of P-Akt-1 and, therefore, to have an adverse prognosis. We conclude that P-Akt-1 is most likely involved in the progression of prostate cancer and is an excellent biomarker for biochemical recurrence.
224 citations
TL;DR: To investigate the expression dynamics of CD73 and its prognostic significance in human colorectal cancer (CRC), a novel “cell reprogram” is developed that exploits the reprograming activity of the “spatially reprogramed” “cells” to express CD73 in a manner similar to that of a “worm”.
Abstract: Background and Objectives
To investigate the expression dynamics of CD73 and its prognostic significance in human colorectal cancer (CRC).
Methods
CD73 expression dynamics were detected by Western blotting. Immunohistochemistry was used to examine the expression of CD73 in CRC tissues from two independent cohorts by tissue microarrays. The optimal cutpoint of CD73 expression was assessed by the X-tile program.
Results
Western blotting analysis demonstrated that CD73 expression in CRC was significantly higher than in normal colorectal tissues. According to the X-tile program, the cutpoint for high expression of CD73 in CRC was determined when CD73 expression index was more than 5.9. High expression of CD73 was observed in 44.8% and 50.4% of CRC in the training and validation cohorts, respectively. Overexpression of CD73 was significantly correlated with tumor differentiation, nodal status, American Joint Committee on Cancer stage. Patients with high expression of CD73 had a poorer overall survival rate compared with patients with low expression of CD73 in both cohorts. In multivariate Cox regression analysis, overexpression of CD73 was proven to be an independent prognostic biomarker for CRC.
Conclusions
High expression of CD73 can be an independent and useful biomarker for predicting the poor survival of patients with CRC. J. Surg. Oncol. 2012; 106:130–137. © 2012 Wiley Periodicals, Inc.
170 citations
TL;DR: It is shown that for most genes there is a subset of exon array probes having highly correlated intensities across multiple samples, and it is suggested that these probes could be used as reliable indicators of overall gene expression levels.
Abstract: Background
There is great current interest in developing microarray platforms for measuring mRNA abundance at both gene level and exon level. The Affymetrix Exon Array is a new high-density gene expression microarray platform, with over six million probes targeting all annotated and predicted exons in a genome. An important question for the analysis of exon array data is how to compute overall gene expression indexes. Because of the complexity of the design of exon array probes, this problem is different in nature from summarizing gene-level expression from traditional 3′ expression arrays.
85 citations
TL;DR: The combined evaluation of p16 and cyclin D1 in oral carcinoma could identify a group of patients with the worst survival who might therefore need alternate or more intense treatment strategies.
74 citations
TL;DR: The development of a method that facilitates the analysis of membrane glycoproteins and applies it to the differential analysis of breast tumor cells with distinct malignant phenotypes is described.
Abstract: The membrane glycoprotein component of the cellular proteome represents a promising source for potential disease biomarkers and therapeutic targets. Here we describe the development of a method that facilitates the analysis of membrane glycoproteins and apply it to the differential analysis of breast tumor cells with distinct malignant phenotypes. The approach combines two membrane extraction procedures, and enrichment using ConA and WGA lectin affinity columns, prior to digestion and analysis by LC−MS/MS. The glycoproteins are identified and quantified by spectral counting. Although the distribution of glycoprotein expression as a function of MW and pI was very similar between the two related cell lines tested, the approach enabled the identification of several distinct membrane glycoproteins with an expression index correlated with either a precancerous (MCF10AT1), or a malignant, metastatic cellular phenotype (MCF10CA1a). Among the proteins associated with the malignant phenotype, Gamma-glutamyl hydrol...
73 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 1 |
| 2020 | 2 |
| 2019 | 1 |
| 2018 | 1 |
| 2017 | 1 |
| 2016 | 1 |