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Tumour break load is a biologically relevant feature of genomic instability with prognostic value in colorectal cancer.
Lakbir, Soufyan; Lahoz, Sara; Cuatrecasas, Miriam; Camps, Jordi; Glas, Roel A; Heringa, Jaap; Meijer, Gerrit A; Abeln, Sanne; Fijneman, Remond J A.
Afiliación
  • Lakbir S; Bioinformatics Group, Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam 1081HV, the Netherlands; Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam 1066CX, the Netherlands.
  • Lahoz S; Translational Colorectal Cancer Genomics, Gastrointestinal and Pancreatic Oncology Team, Institut D'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, 08036, Spa
  • Cuatrecasas M; Pathology Department, Biomedical Diagnostic Center (CDB), Hospital Clínic de Barcelona, Institut D'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Universitat de Barcelona (UB), Barcelona, 08036, Spa
  • Camps J; Translational Colorectal Cancer Genomics, Gastrointestinal and Pancreatic Oncology Team, Institut D'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, 08036, Spa
  • Glas RA; Bioinformatics Group, Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam 1081HV, the Netherlands; Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam 1066CX, the Netherlands.
  • Heringa J; Bioinformatics Group, Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam 1081HV, the Netherlands; AIMMS - Amsterdam Institute for Molecules Medicines and Systems, Vrije Universiteit Amsterdam, Amsterdam 1081HV, the Netherlands.
  • Meijer GA; Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam 1066CX, the Netherlands.
  • Abeln S; Bioinformatics Group, Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam 1081HV, the Netherlands; Life Sciences and Health Research Group, Centrum Wiskunde & Informatica (CWI), Science Park 123, Amsterdam 1098 XG, the Netherlands. Electronic address: s.abeln@vu.nl.
  • Fijneman RJA; Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam 1066CX, the Netherlands. Electronic address: r.fijneman@nki.nl.
Eur J Cancer ; 177: 94-102, 2022 12.
Article en En | MEDLINE | ID: mdl-36334560
BACKGROUND: Clinically implemented prognostic biomarkers are lacking for the 80% of colorectal cancers (CRCs) that exhibit chromosomal instability (CIN). CIN is characterised by chromosome segregation errors and double-strand break repair defects that lead to somatic copy number aberrations (SCNAs) and chromosomal rearrangement-associated structural variants (SVs), respectively. We hypothesise that the number of SVs is a distinct feature of genomic instability and defined a new measure to quantify SVs: the tumour break load (TBL). The present study aimed to characterise the biological impact and clinical relevance of TBL in CRC. METHODS: Disease-free survival and SCNA data were obtained from The Cancer Genome Atlas and two independent CRC studies. TBL was defined as the sum of SCNA-associated SVs. RNA gene expression data of microsatellite stable (MSS) CRC samples were used to train an RNA-based TBL classifier. Dichotomised DNA-based TBL data were used for survival analysis. RESULTS: TBL shows large variation in CRC with poor correlation to tumour mutational burden and fraction of genome altered. TBL impact on tumour biology was illustrated by the high accuracy of classifying cancers in TBL-high and TBL-low (area under the receiver operating characteristic curve [AUC]: 0.88; p < 0.01). High TBL was associated with disease recurrence in 85 stages II-III MSS CRCs from The Cancer Genome Atlas (hazard ratio [HR]: 6.1; p = 0.007) and in two independent validation series of 57 untreated stages II-III (HR: 4.1; p = 0.012) and 74 untreated stage II MSS CRCs (HR: 2.4; p = 0.01). CONCLUSION: TBL is a prognostic biomarker in patients with non-metastatic MSS CRC with great potential to be implemented in routine molecular diagnostics.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Inestabilidad de Microsatélites Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Eur J Cancer Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Inestabilidad de Microsatélites Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Eur J Cancer Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido