ReviewAdvanced drug delivery reviews2015
Contribution of bioinformatics prediction in microRNA-based cancer therapeutics.
Review in Advanced drug delivery reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 53 citations in OpenAlex.
- MGAT4EP promotes tumor progression and serves as a prognostic marker for breast cancer.Cancer biology & therapy · 2025Article
- The Impact of COVID-19 on RNA Therapeutics: A Surge in Lipid Nanoparticles and Alternative Delivery Systems.Pharmaceutics · 2024Review
- Article
- A Bioinformatics-Based Approach to Discover Novel Biomarkers in Hepatocellular Carcinoma.Iranian journal of public health · 2024Article
- Article
- Role of miRNAs to control the progression of Chronic Myeloid Leukemia by their expression levels.Medical oncology (Northwood, London, England) · 2024Review
- Significance ofPeerJ · 2024Article
- Identification of potential microRNA diagnostic panels and uncovering regulatory mechanisms in breast cancer pathogenesis.Scientific reports · 2022Article
- Pan-cancer analysis on the role of PIK3R1 and PIK3R2 in human tumors.Scientific reports · 2022Article
- Comprehensive Analysis of Molecular Subtypes and Hub Genes of Sepsis by Gene Expression Profiles.Frontiers in genetics · 2022Article
- Determining The Role of MicroRNAs in Self-Renewal, Metastasis and Resistance to Drugs in Human Gastric Cancer Based on Data Mining Approaches: A Systematic Review.Cell journal · 2022Review
- miR-16-5p Promotes Erythroid Maturation of Erythroleukemia Cells by Regulating Ribosome Biogenesis.Pharmaceuticals (Basel, Switzerland) · 2021Article
- Exploring the Key Genes and Identification of Potential Diagnosis Biomarkers in Alzheimer's Disease Using Bioinformatics Analysis.Frontiers in aging neuroscience · 2021Article
- Significance of STAT3 in Immune Infiltration and Drug Response in Cancer.Biomolecules · 2020Article
- miR-143 expression profiles in urinary bladder cancer: correlation with clinical and epidemiological parameters.Molecular biology reports · 2020Article
- Aberrant expression of a five-microRNA signature in breast carcinoma as a promising biomarker for diagnosis.Journal of clinical laboratory analysis · 2020Article
- The Anti-Cancer Mechanisms of Berberine: A Review.Cancer management and research · 2020Review
- Article
- Plasma Levels of miR-27a, miR-130b, and miR-301a in Polycystic Ovary Syndrome.International journal of molecular and cellular medicine · 2020Article
- Comparison of microRNA Expression Profile in Chronic Myeloid Leukemia Patients Newly Diagnosed and Treated by Allogeneic Hematopoietic Stem Cell Transplantation.Frontiers in oncology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Despite enormous efforts, cancer remains one of the most lethal diseases in the world. With the advancement of high throughput technologies massive amounts of cancer data can be accessed and analyzed. Bioinformatics provides a platform to assist biologists in developing minimally invasive biomarkers to detect cancer, and in designing effective personalized therapies to treat cancer patients. Still, the early diagnosis, prognosis, and treatment of cancer are an open challenge for the research community. MicroRNAs (miRNAs) are small non-coding RNAs that serve to regulate gene expression. The discovery of deregulated miRNAs in cancer cells and tissues has led many to investigate the use of miRNAs as potential biomarkers for early detection, and as a therapeutic agent to treat cancer. Here we describe advancements in computational approaches to predict miRNAs and their targets, and discuss the role of bioinformatics in studying miRNAs in the context of human cancer.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.