ArticleBMC cancer2018
Diagnostic and prognostic implications of ribosomal protein transcript expression patterns in human cancers.
Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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Who cites it
67 citing papers in PubMed, 96 citations in OpenAlex.
- Ribo-Tweezer: Rapid removal of ribosomal proteins reveals additional layers of post-transcriptional gene regulation.Molecular cell · 2026Article
- A comprehensive review on RNA subcellular localization prediction.Briefings in functional genomics · 2026Review
- Review
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- Targeting ribosomes reprograms the tumour microenvironment and augments cancer immunotherapy.British journal of cancer · 2025Article
- Mapping cancer heterogeneity: a consensus network approach to subtypes and pathways.Briefings in bioinformatics · 2025Article
- USF1-induced RPS6KB2 activation influences aggressive phenotype in B-cell non-Hodgkin lymphoma.Human cell · 2025Article
- Extra-Ribosomal Roles for Ribosomal Proteins and Their Relevance to Tumour Suppression, Carcinogenesis and Cancer Progression.Cancers · 2025Review
- Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine.Genome medicine · 2025Article
- Multi-omics integration reveals the role of N6-methyladenosine in epilepsy, ischemic stroke, and vascular dementia.Molecular brain · 2025Article
- LOCAS: multilabel mRNA localization with supervised contrastive learning.Briefings in bioinformatics · 2025Article
- A Novel Regulatory Role for RPS4Y1 in Inflammatory and Fibrotic Processes.International journal of molecular sciences · 2025Article
- Rapid and high-yield recovery of plasma-derived extracellular vesicles using modified chromatography with soluble protein depletion for biomarker discovery.Cell communication and signaling : CCS · 2025Article
- Statistical identification of cell type-specific spatially variable genes in spatial transcriptomics.Nature communications · 2025Article
- Unsupervised self-organising map classification of Raman spectra from prostate cell lines uncovers substratified prostate cancer disease states.Scientific reports · 2025Article
- Serum Onconeural Antibodies in Dogs and Cats for Early Diagnosis of Cancer.Veterinary medicine (Auckland, N.Z.) · 2025Article
- 5hmC-profiles in Puerto Rican Hispanic/Latino men with aggressive prostate cancer.Frontiers in oncology · 2025Article
- EDCLoc: a prediction model for mRNA subcellular localization using improved focal loss to address multi-label class imbalance.BMC genomics · 2024Article
- Systematic identification of interchromosomal interaction networks supports the existence of specialized RNA factories.Genome research · 2024Article
- LINC01116-dependent upregulation of RNA polymerase I transcription drives oncogenic phenotypes in lung adenocarcinoma.Journal of translational medicine · 2024Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundRibosomes, the organelles responsible for the translation of mRNA, are comprised of four rRNAs and ~ 80 ribosomal proteins (RPs). Although canonically assumed to be maintained in equivalent proportions, some RPs have been shown to possess differential expression across tissue types. Dysregulation of RP expression occurs in a variety of human diseases, notably in many cancers, and altered expression of some RPs correlates with different tumor phenotypes and patient survival. Little work has been done, however, to characterize overall patterns of RP transcript (RPT) expression in human cancers.
methodsTo investigate the impact of global RPT expression patterns on tumor phenotypes, we analyzed RPT expression of ~ 10,000 human tumors and over 700 normal tissues from The Cancer Genome Atlas (TCGA) using t-distributed stochastic neighbor embedding (t-SNE). Clusters of tumors identified by t-SNE were then analyzed with chi-squared and t-tests to compare phenotypic data, ANOVA to compare individual RPT expression, and Kaplan-Meier curves to assess survival differences.
resultsNormal tissues and cancers possess distinct and readily discernible RPT expression patterns that are independent of their absolute levels of expression. In tumors, RPT patterning is distinct from that of normal tissues, identifies heretofore unrecognized tumor subtypes, and in many cases correlates with molecular, pathological, and clinical features, including survival.
conclusionsRPT expression patterns are both tissue-specific and tumor-specific. These could be used as a powerful and novel method of tumor classification, offering a potential clinical tool for prognosis and therapeutic stratification.
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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 Socratic graph.