Abstract
HOXA transcript at the distal tip (HOTTIP), a functional lncRNA transcribed from the 5′ tip of the HOXA locus, has been functionally characterized as an oncogene in various cancers. To further explore the clinical value of HOTTIP in cancer, we collected all relevant studies and investigated the association between HOTTIP level and lymph node metastasis (LNM) or overall survival (OS). Literature collection was conducted by searching electronic databases PubMed, Cochrane Library, OVID, Web of Science and Chinese National Knowledge Infrastructure (CNKI)(up to July 7, 2016). Seven studies with 652 cancer patients were included in the meta-analysis according to the inclusion and exclusion criteria. The results showed a significant positive association between HOTTIP levels and LNM (Odds ratio, OR = 2.30, 95 % CI: 1.58-3.35, p < 0.0001) in a fixed-effects model (I2 = 0 %, p = 0.949) and it could also predict poor OS in cancer patients (Hazard ratio HR = 2.24, 95% CI: 1.74–2.90, p < 0.00001) in a fixed-effects model (I2 = 0%, p = 0.925). In conclusion, this meta-analysis demonstrated that the higher expression level of HOTTIP is correlated with positive LNM and poor OS in different types of cancer and HOTTIP might serve as a novel predictor of LNM and survival in human cancer.
Highlights
Nowadays, cancer is still a major public health problem, one leading cause of death all over the world, due to the increasing incidence and mortality
After further evaluation of the full articles, a total of 7 publications addressing the relationship between lncRNA HOXA transcript at the distal tip (HOTTIP) and cancer lymph node metastasis (LNM) or overall survival (OS) were found to meet all of the inclusion criteria and used for data extraction
The comprehensive identification of cancer-associated lncRNAs may provide a groundbreaking method to more precisely evaluate the prognosis of different cancers
Summary
Cancer is still a major public health problem, one leading cause of death all over the world, due to the increasing incidence and mortality. There is no doubt that the ideal cancer screening tools are definitely required in predictive, diagnostic and prognostic aspects. Risk assessment and prognostication are indispensable for treatment decision making, patient counseling, and inclusion in clinical trials. Like TNM, a recognized cancer staging notation system, is widely used for adopting a global standard to give an indication of prognosis. Common staging systems have been performed with limited prediction accuracy because it cannot incorporate novel information such as biomarkers or more complex bioinformatics. More and better prediction tools are needed to fulfill the accuracy and utility of prediction models for cancer
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
