A differential expression of miRNA in plasma and breast tissue: A potential biomarker

2016 ◽  
Vol 42 (5) ◽  
pp. S20
Author(s):  
M.Arif Nasir ◽  
Zaynab Abdul-Ghany ◽  
Zartasht Carmichael ◽  
James E.P. Brown ◽  
Amtul R. Carmichael
Keyword(s):  
Differential Expression ◽  
Breast Tissue ◽  
Potential Biomarker

scholarly journals Differential expression of fibronectin in cancers of the breast.

2020 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Breast Cancer ◽  
Differential Expression ◽  
Breast Tissue ◽  
Normal Breast ◽  
Breast Cancer Patients ◽  
Significant Differential Expression ◽  
Primary Tumors ◽  
Free Survival ◽  
Tumor Expression ◽  
Microarray Datasets

Breast cancer affects women at relatively high frequency (1). We mined published microarray datasets (2, 3) to determine in an unbiased fashion and at the systems level genes most differentially expressed in the primary tumors of patients with breast cancer. We report here significant differential expression of fibronectin, encoded by FN1, when comparing primary tumors of the breast to the tissue of origin, the normal breast. FN1 expression in primary tumors of the breast was significantly higher than in normal breast tissue, and distant metastasis-free survival in breast cancer patients was significantly worse in patients with high tumor expression of FN1 than in patients with low tumor expression of FN1. FN1 may be of relevance to initiation, maintenance or progression of cancers of the female breast.

scholarly journals Differential expression of CD34 in cancers of the breast.

2020 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Breast Cancer ◽  
Differential Expression ◽  
Breast Tissue ◽  
Normal Breast ◽  
Breast Cancer Patients ◽  
Significant Differential Expression ◽  
Primary Tumors ◽  
Tumor Expression ◽  
Microarray Datasets ◽  
Cd34 Expression

Breast cancer affects women at relatively high frequency (1). We mined published microarray datasets (2, 3) to determine in an unbiased fashion and at the systems level genes most differentially expressed in the primary tumors of patients with breast cancer. We report here significant differential expression of CD34 when comparing primary tumors of the breast to the tissue of origin, the normal breast. CD34 expression in primary tumors of the breast was significantly lower than in normal breast tissue, and relapse-free and overall survival in breast cancer patients was significantly worse CD34 patients with low tumor expression of CD34 than in patients with high tumor expression of CD34. CD34 may be of relevance to initiation, maintenance or progression of cancers of the female breast.

scholarly journals Differential Expression of High-Affinity Melatonin Receptors (MT1) in Normal and Malignant Human Breast Tissue

2002 ◽  
Vol 118 (3) ◽  
pp. 451-458 ◽  
Author(s):  
Dionne C. Dillon ◽  
Samantha E. Easley ◽  
Bonnie B. Asch ◽  
Richard T. Cheney ◽  
Lena Brydon ◽  
...  
Keyword(s):  
Differential Expression ◽  
Breast Tissue ◽  
Melatonin Receptors ◽  
Human Breast ◽  
Human Breast Tissue ◽  
High Affinity

Analysis of genetic mutations associated with immune-activated microenvironment in lung adenocarcinoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e20520-e20520
Author(s):  
Zhen Liang ◽  
Shuhua Zhao ◽  
Danni Liu ◽  
Tianhao Mu ◽  
Jinfeng Chen
Keyword(s):  
Lung Adenocarcinoma ◽  
Differential Expression ◽  
Mutation Frequency ◽  
Immune Cell ◽  
Differential Expression Analysis ◽  
Gene List ◽  
Genetic Mutation ◽  
Rank Test ◽  
P Value ◽  
Potential Biomarker

e20520 Background: Tumor microenvironment plays an important role in suppressing or enhancing immune response. However, the relationship between genetic mutation and prognosis of lung adenocarcinoma (LUAD) patients, and the molecular mechanism of immune microenvironment are not completely clear. Methods: Expression matrix and somatic mutations of TCGA LUAD (n = 509) were downloaded from UCSC Xena. Immune-related gene list was downloaded from ImmPort. We applied R packages ESTIMATE and CIBERSORT to calculate the proportion of tumor-infiltrating immune cell by mRNA data. Samples were divided into ImmuneScore-High or ImmuneScore-Low depending on upper or lower quartiles of ESTIMATE immune infiltration score. Differential expression analysis between ImmuneScore-High and ImmuneScore-Low was performed with R package DESeq2. Results: Samples were divided into ImmuneScore-High (n = 127) and ImmuneScore-Low (n = 128). The immune cell components of these two groups presented different patterns. 10 most frequently mutated immune-related genes were significantly different between two groups (Chi-Squared test, p value < 0.05). 4,139 differentially expressed genes were obtained (|log2FC| > 1, FDR < 0.05). IL-7R, PIK3R5, TRBC2 and VCAM1 were identified with differential mutation frequency and presented differential expression between two groups. Kaplan-Meier plot in UALCAN cancer database showed IL-7R had a significant influence on the prognosis of patients (log rank test, p value = 0.045). Conclusions: ImmuneScore-High and ImmunScore-Low groups presented different genetic mutation frequency and gene expression. Moreover, mutation and different expression of IL-7R may be used as a potential biomarker in the treatment of patients with lung adenocarcinoma.

scholarly journals Differential expression of serum proteins in rats subchronically exposed to arsenic identified by iTRAQ-based proteomic technology—14-3-3 ζ protein to serve as a potential biomarker

2016 ◽  
Vol 5 (2) ◽  
pp. 651-659 ◽  
Author(s):  
Jin Hui Zhang ◽  
Ying Li ◽  
Xuan Bo Song ◽  
Xiao Hong Ji ◽  
Hong Na Sun ◽  
...  
Keyword(s):  
Differential Expression ◽  
Serum Proteins ◽  
Proteomic Technology ◽  
Potential Biomarker

Arsenic is a multi-system toxicant.

Differential Expression of Cohesin SA in Early Colorectal Carcinogenesis: Potential Biomarker for Racial Disparities

2014 ◽  
Vol 109 ◽  
pp. S612
Author(s):  
Ehsan Chitsaz ◽  
Mart DeLaCruz ◽  
Audrey Calderwood ◽  
Ramesh Wali ◽  
Navneet Momi ◽  
...  
Keyword(s):  
Racial Disparities ◽  
Differential Expression ◽  
Colorectal Carcinogenesis ◽  
Potential Biomarker
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