A gene signature predictive for outcome in advanced ovarian cancer identifies a survival factor: microfibril-associated glycoprotein 2.

نویسندگان

  • Samuel C Mok
  • Tomas Bonome
  • Vinod Vathipadiekal
  • Aaron Bell
  • Michael E Johnson
  • Kwong-kwok Wong
  • Dong-Choon Park
  • Ke Hao
  • Daniel K P Yip
  • Howard Donninger
  • Laurent Ozbun
  • Goli Samimi
  • John Brady
  • Mike Randonovich
  • Cindy A Pise-Masison
  • J Carl Barrett
  • Wing H Wong
  • William R Welch
  • Ross S Berkowitz
  • Michael J Birrer
چکیده

Advanced stage papillary serous tumors of the ovary are responsible for the majority of ovarian cancer deaths, yet the molecular determinants modulating patient survival are poorly characterized. Here, we identify and validate a prognostic gene expression signature correlating with survival in a series of microdissected serous ovarian tumors. Independent evaluation confirmed the association of a prognostic gene microfibril-associated glycoprotein 2 (MAGP2) with poor prognosis, whereas in vitro mechanistic analyses demonstrated its ability to prolong tumor cell survival and stimulate endothelial cell motility and survival via the alpha(V)beta(3) integrin receptor. Increased MAGP2 expression correlated with microvessel density suggesting a proangiogenic role in vivo. Thus, MAGP2 may serve as a survival-associated target.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A gene signature predicting for survival in suboptimally debulked patients with ovarian cancer.

Despite the existence of morphologically indistinguishable disease, patients with advanced ovarian tumors display a broad range of survival end points. We hypothesize that gene expression profiling can identify a prognostic signature accounting for these distinct clinical outcomes. To resolve survival-associated loci, gene expression profiling was completed for an extensive set of 185 (90 optim...

متن کامل

CRISPR/Cas9, a new approach to successful knockdown of ABCB1/P-glycoprotein and reversal of chemosensitivity in human epithelial ovarian cancer cell line

Objective(s): Multidrug resistance (MDR) is a major obstacle in the successful chemotherapy of ovarian cancer. Inhibition of P-glycoprotein (P-gp), a member of ATP-binding cassette (ABC) transporters, is a well-known strategy to overcome MDR in cancer. The aim of this study was to investigate the efficiency and ability of CRISPR/Cas9 genome editing technology to knockdown ABCB1 gene expression ...

متن کامل

Pnm-5: Anti-Mullerian Hormone in The Assessment and follow up of Cancer in Young Females

Background The impact of cancer therapy on the reproductive potential of patients is increasingly recognized because survival rates of patients have clearly improved in recent years. The study stressed the use of AMH may allow better prediction of chemotherapy-related risk to further fertility. MaterialsAndMethods A narrative review was performed within articles published at PubMed, Elsevier, S...

متن کامل

Microarray-Based Oncogenic Pathway Profiling in Advanced Serous Papillary Ovarian Carcinoma

INTRODUCTION The identification of specific targets for treatment of ovarian cancer patients remains a challenge. The objective of this study is the analysis of oncogenic pathways in ovarian cancer and their relation with clinical outcome. METHODOLOGY A meta-analysis of 6 gene expression datasets was done for oncogenic pathway activation scores: AKT, β-Catenin, BRCA, E2F1, EGFR, ER, HER2, INF...

متن کامل

A collagen-remodeling gene signature regulated by TGF-β signaling is associated with metastasis and poor survival in serous ovarian cancer.

PURPOSE To elucidate molecular pathways contributing to metastatic cancer progression and poor clinical outcome in serous ovarian cancer. EXPERIMENTAL DESIGN Poor survival signatures from three different serous ovarian cancer datasets were compared and a common set of genes was identified. The predictive value of this gene signature was validated in independent datasets. The expression of the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Cancer cell

دوره 16 6  شماره 

صفحات  -

تاریخ انتشار 2009