Prediction of Recurrence in Cervical Cancer Using a Nine-lncRNA Signature
نویسندگان
چکیده
منابع مشابه
Prediction of clinical outcome and survival in soft-tissue sarcoma using a ten-lncRNA signature
The prognostic value of long non-coding RNAs (lncRNAs) in patients with soft-tissue sarcoma has rarely been unraveled. The aim of the study was to find a lncRNA signature to predict the clinical outcome and survival in soft-tissue sarcoma based on the high-throughput RNA-seq data from The Cancer Genome Atlas (TCGA) database. The lncRNAs which closely correlated with overall survival in 258 soft...
متن کاملIdentification of a serum circulating lncRNA panel for the diagnosis and recurrence prediction of bladder cancer
Accumulating evidence indicates that long non-coding RNAs (lncRNAs) play important roles in tumorigenesis and progression. We aimed to identify a panel of lncRNAs for the diagnosis and recurrence prediction in bladder cancer (BC). The expression of 13 candidate lncRNAs was investigated in 80 BC and matched adjacent normal tissues via quantitative real-time PCR. The differentially expressed lncR...
متن کاملRecurrence‐associated gene signature optimizes recurrence‐free survival prediction of colorectal cancer
High throughput gene expression profiling has showed great promise in providing insight into molecular mechanisms. Metastasis-related mRNAs may potentially enrich genes with the ability to predict cancer recurrence, therefore we attempted to build a recurrence-associated gene signature to improve prognostic prediction of colorectal cancer (CRC). We identified 2848 differentially expressed mRNAs...
متن کاملLncRNA Miat Promotes Proliferation of Cervical Cancer Cells and Acts as an Anti-apoptotic Factor
There are a sub-population of cells in tumor tissues known as cancer stem cells (CSCs) which have similar features with stem cells, including self-renewal and differentiation capacity. Recently, it was established that not only stem cells factors such as Oct4, but also ES-associated lncRNAs are contributing to various regulatory aspects of CSCs. Myocardial infarction associated transcript (MIAT...
متن کاملCancer Recurrence Prediction Using Machine Learning
Cancer is one of the deadliest diseases in the world and is responsible for around 13% of all deaths worldwide. Cancer incidence rate is growing at an alarming rate in the world. Despite the fact that cancer is preventable and curable in early stages, the vast majority of patients are diagnosed with cancer very late. Furthermore, cancer commonly comes back after years of treatment. Therefore, i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Genetics
سال: 2019
ISSN: 1664-8021
DOI: 10.3389/fgene.2019.00284