ArticleOncogenesis2015
CancerNet: a database for decoding multilevel molecular interactions across diverse cancer types.
Article in Oncogenesis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed.
- Harnessing plasma transcriptomics for non-invasive cancer biomarker identification: a comprehensive review.Discover oncology · 2025Review
- Bidirectional linkage of DNA barcodes for the multiplexed mapping of higher-order protein interactions in cells.Nature biomedical engineering · 2024Article
- Bioinformatics Methods for Modeling microRNA Regulatory Networks in Cancer.Advances in experimental medicine and biology · 2022Article
- Using bioinformatics approaches to identify survival-related oncomiRs as potential targets of miRNA-based treatments for lung adenocarcinoma.Computational and structural biotechnology journal · 2022Article
- Human microRNA similarity in breast cancer.Bioscience reports · 2021Article
- PINA 3.0: mining cancer interactome.Nucleic acids research · 2021Article
- HMNPPID-human malignant neoplasm protein-protein interaction database.Human genomics · 2019Article
- Review
- The OncoPPi Portal: an integrative resource to explore and prioritize protein-protein interactions for cancer target discovery.Bioinformatics (Oxford, England) · 2018Article
- YM500v3: a database for small RNA sequencing in human cancer research.Nucleic acids research · 2017Article
- Web-based tools for microRNAs involved in human cancer.Oncology letters · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein-protein interactions (PPIs) and microRNA (miRNA)-target interactions are important for deciphering the mechanisms of tumorigenesis. However, current PPI databases do not support cancer-specific analysis. Also, no available databases can be used to retrieve cancer-associated miRNA-target interactions. As the pathogenesis of human cancers is affected by several miRNAs rather than a single miRNA, it is needed to uncover miRNA synergism in a systems level. Here for each cancer type, we constructed a miRNA-miRNA functionally synergistic network based on the functions of miRNA targets and their topological features in that cancer PPI network. And for the first time, we report the cancer-specific database CancerNet (http://bis.zju.edu.cn/CancerNet), which contains information about PPIs, miRNA-target interactions and functionally synergistic miRNA-miRNA pairs across 33 human cancer types. In addition, PPI information across 33 main normal tissues and cell types are included. Flexible query methods are allowed to retrieve cancer molecular interactions. Network viewer can be used to visualize interactions that users are interested in. Enrichment analysis tool was designed to detect significantly overrepresented Gene Ontology categories of miRNA targets. Thus, CancerNet serves as a comprehensive platform for assessing the roles of proteins and miRNAs, as well as their interactions across human cancers.
Identifiers
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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.