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Diagnostic and prognostic implications of ribosomal protein transcript expression patterns in human cancers.
Dolezal, James M; Dash, Arie P; Prochownik, Edward V.
Afiliación
  • Dolezal JM; Division of Hematology/Oncology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA. jmd172@pitt.edu.
  • Dash AP; Division of Hematology/Oncology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA.
  • Prochownik EV; Division of Hematology/Oncology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, USA.
BMC Cancer ; 18(1): 275, 2018 03 12.
Article en En | MEDLINE | ID: mdl-29530001
BACKGROUND: Ribosomes, 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. METHODS: To 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. RESULTS: Normal 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. CONCLUSIONS: RPT 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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pronóstico / Proteínas Ribosómicas / Genoma Humano / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: BMC Cancer Asunto de la revista: NEOPLASIAS Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Pronóstico / Proteínas Ribosómicas / Genoma Humano / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: BMC Cancer Asunto de la revista: NEOPLASIAS Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido