Identification of ApoA1, HPX and POTEE genes by omic analysis in breast cancer

Abstract

Breast cancer is the most common cancer among women and accounts for 23% of all female types of cancers. It is well recognized that breast cancer represents a heterogeneous group of tumors, and the molecular events involved in the progression to cancer remain undetermined. Moreover, available prognostic and predictive markers are not sufficient for the accurate determination of the risk for many breast cancer patients. Thus, it is necessary to discover new molecular markers for accurate prediction of clinical outcome and individualized therapy. In the present study, we performed omics-based whole-genome trancriptomic and whole proteomic profiling with network and pathway analyses of breast tumors to identify gene expression patterns related to clinical outcome. A total of 20 samples from tumors and 14 normal appearing breast tissues were analyzed using both gene expression microarrays and LC-MS/MS. We identified 585 downregulated and 413 upregulated genes by gene expression microarrays. Among these genes, HPX, POTEE and ApoA1 were the most significant genes correlated with the proteomic profile. Our data revealed that these identified genes are closely related to breast cancer and may be involved in robust detection of disease progression.

Gene‐Expression Profiles in Generalized Aggressive Periodontitis: A Gene Network‐Based Microarray Analysis

“…Zhan et al 8 aimed to identify periodontitis-related candidate genes among 21 genes and found interleukin 18 (IL18), CD44 molecule (CD44), chemokine [CXC motif] ligand 1 (CXCL1), interleukin 6 signal transducer (IL6ST), matrix metallopeptidase 3 (MMP3), MMP7, chemokine [C-C motif] receptor 1 (CCR1), MMP13, and Toll-like receptor 9 (TLR9) genes associated with periodontitis. In our study, we found MMP7 presented significant expression differences with upregulation as Zhan et al 8 pointed out before. MMP7 is associated with the innate host defense in periodontal tissues.…”

“…Gene expression profiling is a powerful means of generating comprehensive genome-level data sets on diseases such as cancer 8 , asthma 9 , rheumatoid disorders 10,11 and periodontitis 12 , and provides significant insight information for these diseases. Gene expression profiling may provide an evidence for involving genes in the pathogenesis of AgP and generate further information other than clinical signs and symptoms of AgP.…”

Recent advances of curcumin and its analogues in breast cancer prevention and treatment

“…The preventive and therapeutic ability of curcumin on highly invasive MDA-MB-231 cells is expressed in its ability to downregulate the EGFR signalling cascade and decreased expression of EGR1 gene when administered in vitro for 24 h in the presence of 20 µM of curcumin. 93 Hendrayani et al 94 determined curcumin suppresses the activation of cancer associated fibroblasts (CAF) in MDA-MB-231 cancer cells in a dose dependent manner that leads to an induction of p16-dependent senescence, DNA free of damage, and inactivation of JAK2/STAT3 pathway.…”

New Method for Joint Network Analysis Reveals Common and Different Coexpression Patterns among Genes and Proteins in Breast Cancer

“…This gene has been recently identified as a potential target for disease progression using whole-genome trancriptomic and whole proteomic. 42 As shown in Table S2, 11 of the relationships in Figure 7 are contained in the STRING database. These results suggest that proteomic data can provide complementary information to genomics data and help to reveal important biological mechanisms.…”