A Systems Biology Approach Provides Deeper Insights into Differentially Expressed Genes in Taxane-Anthracycline Chemoresistant and Non-Resistant Breast Cancers
A Systems Biology Approach Provides Deeper Insights into Differentially Expressed Genes in Taxane-Anthracycline Chemoresistant and Non-Resistant Breast Cancers
نویسندگان: نصرت اله ضرغامی , صدیقه فکری اول , یونس پیله ور سلطان احمدی , آرمان شهابی , فاطمه نیک منش
کلمات کلیدی: Breast cancer; chemoresistance; DEG analysis; neoadjuvant; protein; protein interaction network
نشریه: 3611 , 10 , 18 , 2017
| نویسنده ثبت کننده مقاله |
نصرت اله ضرغامی |
| مرحله جاری مقاله |
تایید نهایی |
| دانشکده/مرکز مربوطه |
دانشکده علوم نوین پزشکی |
| کد مقاله |
61787 |
| عنوان فارسی مقاله |
A Systems Biology Approach Provides Deeper Insights into Differentially Expressed Genes in Taxane-Anthracycline Chemoresistant and Non-Resistant Breast Cancers |
| عنوان لاتین مقاله |
A Systems Biology Approach Provides Deeper Insights into Differentially Expressed Genes in Taxane-Anthracycline Chemoresistant and Non-Resistant Breast Cancers |
| ناشر |
7 |
| آیا مقاله از طرح تحقیقاتی و یا منتورشیپ استخراج شده است؟ |
خیر |
| عنوان نشریه (خارج از لیست فوق) |
|
| نوع مقاله |
Original Article |
| نحوه ایندکس شدن مقاله |
ایندکس شده سطح دو – PubMed |
| آدرس لینک مقاله/ همایش در شبکه اینترنت |
http://journal.waocp.org/article_51151_d29b2ec76cbcbe65d820990c2c78a02d.pdf |
| Objective: To date, numerous studies have been conducted to search for reasons for chemoresistance and differences in survival rates of patients receiving chemotherapy. We have sought to identify differentially expressed genes (DEGs) between predicted chemotherapy resistance and sensitive phenotypes by a network as well as gene enrichment approach. Methods: Functional modules were explored with network analysis of DEGs in predicted neoadjuvant taxane-anthracycline resistance versus sensitive cases in the GSE25066 dataset, including 508 samples. A linear model was created by limma package in R to establish DEGs. Results: A gene set related to phagocytic vesicle membrane was found to be up-regulated in chemoresistance samples. Also, we found GO_CYTOKINE_ACTIVITY and GO_GROWTH_FACTOR BINDING to be up-regulated gene sets with the chemoresistance phenotype. Growth factors and cytokines are two groups of agents that induce the immune system to recruit APCs and promote tolerogenic phagocytosis. Some hub nodes like S100A8 were found to be important in the chemoresistant tumor cell network with associated high rank genes in GSEA. Conclusions: Functional gene sets and hub nodes could be considered as potential treatment targets. Moreover, by screening and enrichment analysis of a chemoresistance network, ligands and chemical agents have been found that could modify significant gene sets like the phagocytic vesicle membrane functional gene set as a key to chemoresistance. They could also impact on down- or up-regulated hub nodes. |
| نام فایل |
تاریخ درج فایل |
اندازه فایل |
دانلود |
| A Systems Biology Approach Provides Deeper Insights into.pdf | 1396/08/22 | 1118252 | دانلود |