Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

lncRNA-UCA1 in the diagnosis of bladder cancer

View through CrossRef
Abstract Background: The main purpose of this study is to systematically evaluate the diagnostic value of long-chain non-coding RNA urothelial carcinoembryonic antigen 1 (lncRNA-UCA1) for bladder cancer, and to provide a scientific basis for the diagnosis of bladder cancer. Methods: By searching PubMed, Web of Science, EMBASE, CNKI, Wanfang, Weipu and other databases, in order to collect relevant literature of lncRNA-UCA1 for diagnosis of bladder cancer. The starting and ending time of the search is from the establishment of the database to December 31, 2019. Screen documents and extract data according to inclusion and exclusion criteria. QUADAS entry tool was used to evaluate the quality of literature. Meta-Disc 1.4 and Stata 12.0 software were used for statistical analysis, and UCA1 was combined for the statistics of bladder cancer diagnosis. Results: A total of 7 articles were included in this study, including 954 cases of bladder cancer patients and 482 cases of non-bladder cancer patients. The receiver operating characteristic curve (ROC) curve AUC of lncRNA-UCA1 used to diagnose bladder cancer was 0.86. The sensitivity was 0.83 (95% CI: 0.80–0.85), and the specificity was 0.86 (95% CI: 0.82–0.89). The positive likelihood ratio is 6.38 (95% CI: 3.01–13.55), and the negative likelihood ratio is 0.20 (95% CI: 0.13–0.31). The diagnostic odds ratio is 33.13 (95% CI: 11.16–98.33). Conclusion: lncRNA-UCA1 has a high value of clinical auxiliary diagnosis for bladder cancer, and it can be further promoted and applied clinically.
Title: lncRNA-UCA1 in the diagnosis of bladder cancer
Description:
Abstract Background: The main purpose of this study is to systematically evaluate the diagnostic value of long-chain non-coding RNA urothelial carcinoembryonic antigen 1 (lncRNA-UCA1) for bladder cancer, and to provide a scientific basis for the diagnosis of bladder cancer.
Methods: By searching PubMed, Web of Science, EMBASE, CNKI, Wanfang, Weipu and other databases, in order to collect relevant literature of lncRNA-UCA1 for diagnosis of bladder cancer.
The starting and ending time of the search is from the establishment of the database to December 31, 2019.
Screen documents and extract data according to inclusion and exclusion criteria.
QUADAS entry tool was used to evaluate the quality of literature.
Meta-Disc 1.
4 and Stata 12.
0 software were used for statistical analysis, and UCA1 was combined for the statistics of bladder cancer diagnosis.
Results: A total of 7 articles were included in this study, including 954 cases of bladder cancer patients and 482 cases of non-bladder cancer patients.
The receiver operating characteristic curve (ROC) curve AUC of lncRNA-UCA1 used to diagnose bladder cancer was 0.
86.
The sensitivity was 0.
83 (95% CI: 0.
80–0.
85), and the specificity was 0.
86 (95% CI: 0.
82–0.
89).
The positive likelihood ratio is 6.
38 (95% CI: 3.
01–13.
55), and the negative likelihood ratio is 0.
20 (95% CI: 0.
13–0.
31).
The diagnostic odds ratio is 33.
13 (95% CI: 11.
16–98.
33).
Conclusion: lncRNA-UCA1 has a high value of clinical auxiliary diagnosis for bladder cancer, and it can be further promoted and applied clinically.

Related Results

Abstract 1827: HnRNP I interacts with lncRNA UCA1 and regulates its stability.
Abstract 1827: HnRNP I interacts with lncRNA UCA1 and regulates its stability.
Abstract Background: The human genome also makes a large number of non-coding RNAs including long non-coding RNAs (lncRNAs) and microRNAs in addition to protein-codi...
Diagnostic value of LncRNAs for Postoperative Metastasis of Breast Cancer: A Nested Case-Control Study.
Diagnostic value of LncRNAs for Postoperative Metastasis of Breast Cancer: A Nested Case-Control Study.
Abstract Background: Breast cancer is an aggressive tumor with no definitely identified prognostic biomarker for diagnosis. Studies have preliminarily found that lncRNAs ar...
Abstract 1563: Anoikis associated metabolic modulation by UCA1 in CRC
Abstract 1563: Anoikis associated metabolic modulation by UCA1 in CRC
Abstract Colorectal Cancer (CRC) is the second most lethal cancer in estimated deaths for 2023 according to the American Cancer Society. This is partially due to the...
LncRNA UCA1 regulates immune micro-environment in cisplatin-induced AKI by miRNA-4498/AKT3 pathway
LncRNA UCA1 regulates immune micro-environment in cisplatin-induced AKI by miRNA-4498/AKT3 pathway
An increasing number of studies highlight the significance of long non-coding RNAs (lncRNAs) in the biological process of acute kidney injury (AKI). This study investigates the rol...
Abstract 1547: LncRNA UCA1 modulates glucose metabolism proteins in colorectal cancer
Abstract 1547: LncRNA UCA1 modulates glucose metabolism proteins in colorectal cancer
Abstract Colorectal cancer (CRC) is the primary cause of cancer-related deaths worldwide. According to the American Cancer Society, it is the third most common cance...
Abstract IA3: Regulatory networks in onco-lncRNAomics: Cis-regulation and non-conservation
Abstract IA3: Regulatory networks in onco-lncRNAomics: Cis-regulation and non-conservation
Abstract Global studies of the transcriptome reveal that approximately half of human transcriptional units (genes) encode solely non-protein-coding RNAs (ncRNAs), wh...
The Role of Urothelial Cancer-Associated 1 in Gynecological Cancers
The Role of Urothelial Cancer-Associated 1 in Gynecological Cancers
Gynecological cancers (GC) represent some of the most frequently diagnosed malignancies in women worldwide. Long-non-coding RNAs (lncRNAs) are regulatory RNAs increasingly being re...
Abstract 1497: A novel long non-coding RNA associated with poor prognosis in epithelial ovarian cancer
Abstract 1497: A novel long non-coding RNA associated with poor prognosis in epithelial ovarian cancer
Abstract Epithelial ovarian cancer (EOC) is the most lethal gynecological malignancy in the Western world. In the US, there are ∼22,000 new diagnoses and ∼15,500 dea...

Back to Top