این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Molecular Biology Research Communications، جلد ۱۴، شماره ۳، صفحات ۲۰۳-۲۱۸
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Gene co-expression network analysis reveals relationship between leukocyte fraction and genomic instability in dedifferentiated liposarcoma
چکیده انگلیسی مقاله Dedifferentiated Liposarcoma (DDLPS) is one of the common subtypes of liposarcoma that is considered a highly malignant category. This study aims to investigate DDLPS through a system biology approach. The gene expression profiles and clinical traits of the DDLPS were acquired from The Cancer Genome Atlas (TCGA). The identification of co-expressed modules was conducted using the weighted gene co-expression network analysis. The immune cell-related gene function was studied by a web-based tool, TIMER, and, the survival analysis was performed at both the module and single-gene levels through Cox Regression analysis. Gene enrichment analysis was also conducted using the DAVID tool. One of the nine co-expressed DDLPS modules was significantly correlated with leukocyte fraction, hyper/hypo methylation, tumor purity, and chromosome instability (CIN). Based on the biological processes used to classify genes, the hub genes in a particular module play important roles in DNA repair, microtubule organizing clusters, mitotic checkpoint dysregulation, and cell proliferation signaling pathways. After screening the genes based on intra-module connectivity, module membership, and gene significance RAD54L was selected as one of the important hub genes. RAD54L showed poor prognosis to the overall survival (OS) analysis (HR=1.6, 95% CI=1.1–2.4, p=0.02). No co-expressed modules had relationship with OS. Through DDLPS traits, CIN and hyper/hypo methylation had significant negative relationship with OS. Our achievement confirmed the inverse association between tumor purity for DDLPS gene profiles and leukocyte fraction and negative leukocyte fraction (LF) gene significance in some genes was justified according to the sub-population analyses of immune cells in TIMER.
کلیدواژه‌های انگلیسی مقاله WGCNA,TIMER,DDLPS,System Biology
نویسندگان مقاله Mohammad Darzi |
Genetics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran

Mahdieh Shokrollahi-Barough |
ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran

Elahe Nazari |
Genetics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran

Keivan Majidzadeh-A |
Genetics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran

Rezvan Esmaeili |
Genetics Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran

نشانی اینترنتی https://mbrc.shirazu.ac.ir/article_7939_0cc6ec76f71a7c86cf6b01ea1b51403e.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات