MethCORR modelling of methylomes from formalin-fixed paraffin-embedded tissue enables characterization and prognostication of colorectal cancer
Fecha de publicación:
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Autores de IIS La Fe
Participantes ajenos a IIS La Fe
- Mattesen, TB
- Rasmussen, MH
- Ongen, H
- Arnadottir, SS
- Gladov, J
- Martinez-Cardus, A
- Castro de Moura, M
- Madsen, AH
- Laurberg, S
- Dermitzakis, ET
- Esteller, M
- Andersen, CL
- Bramsen, JB
Grupos
Abstract
Transcriptional characterization and classification has potential to resolve the inter-tumor heterogeneity of colorectal cancer and improve patient management. Yet, robust transcriptional profiling is difficult using formalin-fixed, paraffin-embedded (FFPE) samples, which complicates testing in clinical and archival material. We present MethCORR, an approach that allows uniform molecular characterization and classification of fresh-frozen and FFPE samples. MethCORR identifies genome-wide correlations between RNA expression and DNA methylation in fresh-frozen samples. This information is used to infer gene expression information in FFPE samples from their methylation profiles. MethCORR is here applied to methylation profiles from 877 fresh-frozen/FFPE samples and comparative analysis identifies the same two subtypes in four independent cohorts. Furthermore, subtype-specific prognostic biomarkers that better predicts relapse-free survival (HR=2.66, 95%CI [1.67-4.22], Pvalue <0.001 (log-rank test)) than UICC tumor, node, metastasis (TNM) staging and microsatellite instability status are identified and validated using DNA methylation-specific PCR. The MethCORR approach is general, and may be similarly successful for other cancer types.
Datos de la publicación
- ISSN/ISSNe:
- 2041-1723, 2041-1723
- Tipo:
- Article
- Páginas:
- 2025-2025
- PubMed:
- 32332866
- Factor de Impacto:
- 5,559 SCImago ℠
- Cuartil:
- Q1 SCImago ℠
Nature Communications NATURE PORTFOLIO
Citas Recibidas en Web of Science: 7
Documentos
- No hay documentos
Filiaciones
Keywords
- SET ENRICHMENT ANALYSIS; DNA METHYLATION; VALIDATION; PREDICTION; PROGNOSIS; SIGNATURE; CARCINOMA
Campos de Estudio
Cita
Mattesen TB,Rasmussen MH,SANDOVAL J,Ongen H,Arnadottir SS,Gladov J,Martinez A,Castro de Moura M,Madsen AH,Laurberg S,Dermitzakis ET,Esteller M,Andersen CL,Bramsen JB. MethCORR modelling of methylomes from formalin-fixed paraffin-embedded tissue enables characterization and prognostication of colorectal cancer. Nat. Commun. 2020. 11. (1):p. 2025-2025. IF:14,919. (1).
Portal de investigación