ArticleNucleic acids research2021
PINA 3.0: mining cancer interactome.
Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic value of nectin-4 in human cancers: A meta-analysis.Frontiers in oncology · 2023Pooled it
- CancerHubs Data Explorer: a web application for investigating mutation-enriched protein interaction hubs in human cancers.BioData mining · 2026Article
- Plasma complement proteins as biomarkers and therapeutic targets in chronic kidney disease: a Mendelian randomization analysis.Renal failure · 2025Article
- Vesicular Rps6 Released by Astrocytes in an Experimental Model of AD Regulates Local Translation and Enhances Synaptic Integrity in Neurones.Journal of extracellular vesicles · 2025Article
- Target and biomarker exploration portal for drug discovery.Bioinformatics (Oxford, England) · 2025Article
- A Network-Driven Framework for Drug Response Precision Prediction of Acute Myeloid Leukemia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Target Mapping in Cancer: Ligandable Protein Pockets on 3D OncoPPI Networks.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Targeting NLRC4 for potential therapeutic strategies in lung adenocarcinoma.Discover oncology · 2025Article
- The Potential of Peptide-Based Inhibitors in Disrupting Protein-Protein Interactions for Targeted Cancer Therapy.International journal of molecular sciences · 2025Review
- The Atlas of Protein-Protein Interactions in Cancer (APPIC)-a webtool to visualize and analyze cancer subtypes.NAR cancer · 2025Article
- Integrated Computational Analysis Reveals Early Genetic and Epigenetic AML Susceptibility Biomarkers in Benzene-Exposed Workers.International journal of molecular sciences · 2025Article
- Multimeric protein interaction and complex prediction: Structure, dynamics and function.Computational and structural biotechnology journal · 2025Review
- Menopause-induced 17β-estradiol and progesterone loss increases senescence markers, matrix disassembly and degeneration in mouse cartilage.Nature aging · 2025Article
- Pan-Cancer Analysis of the Prognostic and Immunological Role of ECT2: A Promising Target for Survival and Immunotherapy.Cancer informatics · 2025Article
- Calpain 2 promotes Lenvatinib resistance and cancer stem cell traits via both proteolysis-dependent and independent approach in hepatocellular carcinoma.Molecular biomedicine · 2024Article
- Multivariate stochastic modeling for transcriptional dynamics with cell-specific latent time using SDEvelo.Nature communications · 2024Article
- Targeting DTX2/UFD1-mediated FTO degradation to regulate antitumor immunity.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- CancerHubs: a systematic data mining and elaboration approach for identifying novel cancer-related protein interaction hubs.Briefings in bioinformatics · 2024Article
- Whole-genome sequencing identifies novel genes for autism in Chinese trios.Science China. Life sciences · 2024Article
- Bidirectional linkage of DNA barcodes for the multiplexed mapping of higher-order protein interactions in cells.Nature biomedical engineering · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein-protein interactions (PPIs) are crucial to mediate biological functions, and understanding PPIs in cancer type-specific context could help decipher the underlying molecular mechanisms of tumorigenesis and identify potential therapeutic options. Therefore, we update the Protein Interaction Network Analysis (PINA) platform to version 3.0, to integrate the unified human interactome with RNA-seq transcriptomes and mass spectrometry-based proteomes across tens of cancer types. A number of new analytical utilities were developed to help characterize the cancer context for a PPI network, which includes inferring proteins with expression specificity and identifying candidate prognosis biomarkers, putative cancer drivers, and therapeutic targets for a specific cancer type; as well as identifying pairs of co-expressing interacting proteins across cancer types. Furthermore, a brand-new web interface has been designed to integrate these new utilities within an interactive network visualization environment, which allows users to quickly and comprehensively investigate the roles of human interacting proteins in a cancer type-specific context. PINA is freely available at https://omics.bjcancer.org/pina/.
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