ArticleProceedings of the National Academy of Sciences of the United States of America2013
miRNA and mRNA cancer signatures determined by analysis of expression levels in large cohorts of patients.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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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.
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Who cites it
42 citing papers in PubMed, 71 citations in OpenAlex.
- Cellular-state control using ribozyme-scaffolded miRNA-sensing and CRISPR-mediated actuation.Cell reports methods · 2026Article
- Immune modulatory microRNAs in tumors, their clinical relevance in diagnosis and therapy.Journal for immunotherapy of cancer · 2024Review
- MicroRNA-34 and gastrointestinal cancers: a player with big functions.Cancer cell international · 2024Review
- Identification and validation of the microRNAs and hub genes for pancreatic ductal adenocarcinoma by an integrated bioinformatic analysis.Journal of gastrointestinal oncology · 2023Article
- The immunogenic radiation and new players in immunotherapy and targeted therapy for head and neck cancer.Frontiers in oral health · 2023Review
- Combination of cell-penetrating peptides with nanomaterials for the potential therapeutics of central nervous system disorders: a review.Journal of nanobiotechnology · 2021Review
- Anatomy of DNA methylation signatures: Emerging insights and applications.American journal of human genetics · 2021Review
- MiR-664-3p suppresses osteoblast differentiation and impairs bone formation via targeting Smad4 and Osterix.Journal of cellular and molecular medicine · 2021Article
- Review
- Thermodynamic energetics underlying genomic instability and whole-genome doubling in cancer.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- State-Transition Analysis of Time-Sequential Gene Expression Identifies Critical Points That Predict Development of Acute Myeloid Leukemia.Cancer research · 2020Article
- Exploring Alzheimer's Disease Molecular Variability via Calculation of Personalized Transcriptional Signatures.Biomolecules · 2020Article
- MicroRNAs Targeting MYC Expression: Trace of Hope for Pancreatic Cancer Therapy. A Systematic Review.Cancer management and research · 2020Review
- Metabolic, Physiological, and Transcriptomics Analysis of Batch Cultures of the Green MicroalgaCells · 2019Article
- Automated smFRET microscope for the quantification of label-free DNA oligos.Biomedical optics express · 2019Article
- Personalized disease signatures through information-theoretic compaction of big cancer data.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Comparative aspects of microRNA expression in canine and human cancers.Journal of veterinary science · 2018Review
- Article
- Expression of miR-551b and its effect on apoptosis in human gastric carcinoma.International journal of clinical and experimental pathology · 2018Article
- Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Toward identifying a cancer-specific gene signature we applied surprisal analysis to the RNAs expression behavior for a large cohort of breast, lung, ovarian, and prostate carcinoma patients. We characterize the cancer phenotypic state as a shared response of a set of mRNA or microRNAs (miRNAs) in cancer patients versus noncancer controls. The resulting signature is robust with respect to individual patient variability and distinguishes with high fidelity between cancer and noncancer patients. The mRNAs and miRNAs that are implicated in the signature are correlated and are known to contribute to the regulation of cancer-signaling pathways. The miRNA and mRNA networks are common to the noncancer and cancer patients, but the disease modulates the strength of the connectivities. Furthermore, we experimentally assessed the cancer-specific signatures as possible therapeutic targets. Specifically we restructured a single dominant connectivity in the cancer-specific gene network in vitro. We find a deflection from the cancer phenotype, significantly reducing cancer cell proliferation and altering cancer cellular physiology. Our approach is grounded in thermodynamics augmented by information theory. The thermodynamic reasoning is demonstrated to ensure that the derived signature is bias-free and shows that the most significant redistribution of free energy occurs in programming a system between the noncancer and cancer states. This paper introduces a platform that can elucidate miRNA and mRNA behavior on a systems level and provides a comprehensive systematic view of both the energetics of the expression levels of RNAs and of their changes during tumorigenicity.
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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.