Unprocessed snRNAs Are a Prognostic Biomarker and Correlate with a Poorer Prognosis in Colorectal Cancer.
Víctor EscrichCristina Romero-ArandaRosario LópezMaría de ToroÁngela MetolaBegoña EzcurraEva Gómez-OrteJuan CabelloPublished in: Cancers (2024)
The human Integrator complex is a set of 15 subunits that mediates processing of small nuclear RNAs (snRNAs), and which later participates in splicing messenger RNAs (mRNAs). In addition, it controls the pause and release of RNA polymerase II (RNA pol II) at specific gene promoters in response to growth factors. Mutations in Integrator-complex subunit 6 ( INTS6 ) are associated with different types of tumors. However, the INTS6 gene product does not have a significant prognostic value as a biomarker for tumor progression. Here we show that Integrator-complex deregulation is involved in 8.3% of the colorectal cancer cases diagnosed from the population screen carried out in La Rioja (Spain) from the years 2017 to 2019. Lack of Integrator-complex function, measured by an increased level of unprocessed snRNA, is a prognostic biomarker and correlates with a poorer prognosis in colorectal-cancer patients. The transcriptomic profile of all analyzed colorectal tumors shows a strong alteration of the metabolic state of tumor cells, which compromises standard energy production through mitochondrial respiration, known as the Warburg effect. Furthermore, there is a significant upregulation of genes involved in extracellular matrix organization and collagen rearrangement. This is consistent with tissue reorganization in a growing tumor forming a polyp. Crossing the molecular data generated in this study with the follow-up of patients from population screening indicates that population screening combined with early typing of tumors appears to be the most efficient way to increase patient survival.
Keyphrases
- extracellular matrix
- end stage renal disease
- poor prognosis
- genome wide
- endothelial cells
- copy number
- chronic kidney disease
- newly diagnosed
- oxidative stress
- cell proliferation
- electronic health record
- case report
- prognostic factors
- artificial intelligence
- single cell
- dna methylation
- big data
- rna seq
- peritoneal dialysis
- genome wide identification
- induced pluripotent stem cells
- patient reported