Year: 2018
Type: article
Study design: Observational Study
Abstract: To analyze the possible clonal origin of a part of Synchronous colorectal cancer (SCRC), we studied 104 paired-SCRCs from 52 consecutive patients without hereditary forms of CRC. We used a Single-Nucleotide Polymorphism array to characterize the genomic profiles, and subsequently used a statistical application to define them according to clonality within the same individual. We categorized the ensuing groups according to colonic location to identify differential phenotypes. The SCRC Monoclonal group (M) (19 cases) was divided into Monosegmental (MM) and Pancolonic (MP) groups. The SCRC Polyclonal group (P) (33 cases) was also divided into Monosegmental (PM) and Pancolonic (PP), the first exhibiting preference for left colon. The MM group showed a high rate of mucinous tumors, the lowest mean-number of tumors and associated-polyps, and the worst prognosis. The MP group included the largest mean-number of associated-polyps, best prognosis and familial cancer component. The PM group seemed to be a "frontier" group. Finally, the PP group also exhibited a mucin component, the highest mean-number of tumors (4.6) compared with the mean-number of polyps (7.7), poor prognosis and sporadic cases. Most relevant differential genomic regions within M groups were gains on 1q24 and 8q24, and deletions on 1p21 and 1p23 for MM, while within P were the gains on 7q36 and deletions on 1p36 for PM. The statistical application employed seems to define clonality more accurately in SCRC -more likely to be polyclonal in origin-, and together with the tumor locations, helped us to configure a classification with prognostic and clinical value.
Source: International Journal of Cancer
DOI: 10.1002/ijc.31761
Institutions: Hospital Universitario Fundación Jiménez Díaz, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Consejo Superior de Investigaciones Científicas, Universidad de Salamanca, Instituto de Investigación Biomédica de Salamanca, Instituto de Biología Molecular y Celular del Cáncer de Salamanca, Hospital General Universitario Gregorio Marañón, Hospital Universitario 12 De Octubre, Baylor University Medical Center, Baylor Scott & White Research Institute, Instituto de Salud Carlos III, Spanish National Cancer Research Centre, Centre for Biomedical Network Research on Rare Diseases
Language: English
Subfield: Pathology and Forensic Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: Development of microRNA Biomarkers For Noninvasive Detection of Colorectal Cancer, G3411000325, G5424437965, G6681643532, Next Generation Sequencing-Based Approaches for the Development of Epigenetic Biomarkers for Predicting Therapeutic Outcome in Patients With Colorectal Cancer, Aspirin and Cancer Prevention in Lynch Syndrome: From Cell to Population Data, Methylation Biomarker Development for Noninvasive Detection of Colorectal Cancer
OpenAlex ID: W2889653401
