Commentary: Genomic Analysis Reveals Heterogeneity Between Lesions in Synchronous Primary Right-Sided and Left-Sided Colon Cancer

We read with interest the recent study by Hu et al., in which they described an approach to elucidate the genomic landscape of synchronous colorectal cancer (SCRC). They used a cohort of paired tumors located in different sites of the colon (right and left colon) and analyzed single nucleotide varia...

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Detalles Bibliográficos
Autores: Perea, José, Corchete, Luis A., García, Juan L., Urioste, Miguel, González-Sarmiento, Rogelio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/282807
Acceso en línea:http://hdl.handle.net/10261/282807
Access Level:acceso abierto
Palabra clave:Synchronous colorectal cancer, Clonality, Metachronous colorectal cancer, Heterogeneity, Colorectal cancer
Descripción
Sumario:We read with interest the recent study by Hu et al., in which they described an approach to elucidate the genomic landscape of synchronous colorectal cancer (SCRC). They used a cohort of paired tumors located in different sites of the colon (right and left colon) and analyzed single nucleotide variation, somatic mutation, and copy number alteration by whole-exome sequencing. The authors finally suggested the heterogeneity between lesions and the polyclonal origin of the paired tumors in the same individual (Hu et al., 2021). They added other previous studies also reporting the heterogeneity and independent genetic origin of SCRC (Cereda et al., 2016; Wang et al., 2018), but without focusing on the location of the paired tumors. On the contrary, to the best of our knowledge, we previously analyzed the largest series of SCRC in exploring clonality, composed by 104 paired SCRCs from 52 consecutive patients without hereditary forms of CRC, using initially a single-nucleotide polymorphism array and a subsequent statistical application to define them according to clonality. Moreover, we used parameters like the mutational concordance and CpG island methylator phenotype (CIMP) status, to confirm our clonality results, and developed a classification according to clonality and paired tumor location, showing clinical correlations. Our results suggested heterogeneity in 64.4% of cases (Figure 1A) but the presence of clonality in 35.6% of cases (Figure 1B) (Perea et al., 2019).