Breast cancer is diverse in their natural history and in their responsiveness to treatments. It is urgent to generate candidate biomarkers for the stratification of patients and personalization of therapy to avoid overtreatment or inadequate treatment. Long noncoding RNAs (lncRNAs) have been found to be pervasively transcribed in the genome and played critical roles in cancer progression. A lot of lncRNAs have been reported as potential prognostic biomarkers and therapeutic targets in multiple cancers. In this study, we demonstrated that FGF14 antisense RNA 2 (FGF14-AS2), a novel long non-coding RNA, was significantly down-regulated in breast cancer tissue compared with adjacent normal tissue both in validated cohort and TCGA cohort. Reduced expression of FGF14-AS2 was correlated with larger tumor size, more lymph node metastasis and advanced clinical stage in both cohorts. Kaplan-Meier analysis indicated that patients with lower FGF14-AS2 expression had a worse overall survival. Moreover, multivariate analysis revealed that decreased expression of FGF14-AS2 was an independent predictor of overall survival. Together, these results suggested that FGF14-AS2 involved in the progress of breast cancer and might act as a tumor suppressor gene. To the best of our knowledge, it was firstly reported that FGF14-AS2 was involved in cancer. This study provided a potential new marker and a target for gene therapy in breast cancer treatment.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.bbrc.2016.01.147DOI Listing

Publication Analysis

Top Keywords

breast cancer
20
novel long
8
long non-coding
8
non-coding rna
8
rna fgf14-as2
8
fgf14-as2 correlated
8
expression fgf14-as2
8
fgf14-as2 involved
8
fgf14-as2
7
cancer
7

Similar Publications

A common digestive system cancer with a dismal prognosis and a high death rate globally is breast cancer (BRCA). BRCA recurrence, metastasis, and medication resistance are all significantly impacted by cancer stem cells (CSCs). However, the relationship between CSCs and the tumor microenvironment in BRCA individuals remains unknown, and this information is critically needed.

View Article and Find Full Text PDF

Purpose: Age stratification influences the clinicopathological features and survival outcomes of breast cancer. We aimed to understand the effect of age on gene variants in young Chinese women with breast cancer compared with those from The Cancer Genome Atlas (TCGA).

Methods: Enrolled patients ≤ 40 years old (N = 370) underwent germline or somatic genetic testing using a 32-gene hereditary cancer panel at Fujian Union Hospital.

View Article and Find Full Text PDF

Purpose: There is an increasing incidence of young breast cancer (YBC) patients with uncertainty surrounding the factors and patterns that are contributing.

Methods: We obtained characteristics and survival data from 206,156 YBC patients (≤ 40 years of age) diagnosed between 2005 and 2019 from the National Cancer Database (NCDB). Patients were subdivided into two comparison groups based on year of diagnosis (2005-2009, Old vs.

View Article and Find Full Text PDF

Hydrogen sulfide (HS)-mediated protein S-sulfhydration has been shown to play critical roles in several diseases. Tumor-associated macrophages (TAMs) are the predominant population of immune cells present within solid tumor tissues, and they function to restrict antitumor immunity. However, no previous study has investigated the role of protein S-sulfhydration in TAM reprogramming in breast cancer (BC).

View Article and Find Full Text PDF

Background: Bilateral risk-reducing mastectomies (RRMs) have been proven to decrease the risk of breast cancer in patients at high risk owing to family history or having pathogenic genetic mutations. However, few resources with consolidated data have detailed the patient experience following surgery. This systematic review features patient-reported outcomes for patients with no breast cancer history in the year after their bilateral RRM.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!