RESUMO
Renal carcinomas are a group of malignant tumors often originating in the cells lining the small tubes in the kidney responsible for filtering waste from the blood and urine production. Kidney tumors arise from the uncontrolled growth of cells in the kidneys and are responsible for a large share of global cancer-related morbidity and mortality. Understanding the molecular mechanisms driving renal carcinoma progression results crucial for the development of targeted therapies leading to an improvement of patient outcomes. Epigenetic mechanisms such as DNA methylation are known factors underlying the development of several cancer types. There is solid experimental evidence of relevant biological functions modulated by methylation-related genes, associated with the progression of different carcinomas. Those mechanisms can often be associated to different epigenetic marks, such as DNA methylation sites or chromatin conformation patterns. Currently, there is no definitive method to establish clear relations between genetic and epigenetic factors that influence the progression of cancer. Here, we developed a data-driven method to find methylation-related genes, so we could find relevant bonds between gene co-expression and methylation-wide-genome regulation patterns able to drive biological processes during the progression of clear cell renal carcinoma (ccRC). With this approach, we found out genes such as ITK oncogene that appear hypomethylated during all four stages of ccRC progression and are strongly involved in immune response functions. Also, we found out relevant tumor suppressor genes such as RAB25 hypermethylated, thus potentially avoiding repressed functions in the AKT signaling pathway during the evolution of ccRC. Our results have relevant implications to further understand some epigenetic-genetic-affected roles underlying the progression of renal cancer.
RESUMO
Resumen Introducción Las mutaciones, del E746-A750 exón 19 y L858R exón 21 del gen EGFR en células tumorales de CPNM representan biomarcadores de respuesta a fármacos inhibidores de tirosina cinasa (ITK). Pacientes con tumores positivos a mutaciones EGFR muestran mejor respuesta y mayor sobrevivencia. Estas mutaciones ocupan el 90% de las mutaciones en cáncer de pulmón. Objetivo Evaluar la frecuencia de las mutaciones del E746-A750 exón 19 y L858R exón 21 del EGFR en muestras de biopsia de CPNM y en muestras de suero de población abierta de Yucatán. Material y métodos Se seleccionaron 19 muestras de biopsia de CNPM tipo adeconocarcinoma y 101 sueros de sujetos sanos. Las mutaciones del E746-A750 y L858R en EGFR se determinaron mediante amplificación por PCR oligo-alelo específica (PCR-ASO). Se calcularon las frecuencias genotípicas y alélicas y su distribución según Hardy Weinberg, utilizando la plataforma SNPstats. Resultados En muestras de suero se determinó el genotipo homocigoto (1/1) en 26.58%, 73.42% el heterocigoto (1/0) y ausencia del genotipo mutante con deleción (0/0) para del E746-A750; en tanto que, para L858R, 21.78% resultó homocigoto (TT), 54.46% heterocigoto (T/G) y 23.76% mutantes GG. En las biopsias, el heterocigoto fue más frecuente en ambas mutaciones 63.16% y 73.68% para del E746-A750 y L858R, respectivamente. Conclusión. La frecuencia de las mutaciones del gen EGFR en las muestras de sueros fue de 36.71% para la deleción del E746-A750 en exón 19 y 50.99% para L858R en exón 21. La distribución de las mutaciones en muestras de biopsia CPNM resultó en 42.11% para cada mutación estudiada.
Abstract Introduction EGFR mutations, del E746-A750 in exon 19 and L858R in exon 21 in tumor cells of NMLC represent biomarkers of response to tyrosine kinase inhibitors (TKI) therapy. Patients with tumors positive for EGFR mutations show better response and greater survival. These mutations occupy 90% of mutations in lung cancer. Objective To evaluate the frequency of mutations del E746-A750-exon 19 and L858R-exon 21 of EGFR gene in NMLC biopsy samples and in serum samples of the general population from Yucatán. Material and methods 19 NMLC biopsy samples of adenocarcinoma type and 101 serum samples from healthy subjects were selected. EGFR mutations del E746-A750 and L858R were determined by allele-specific PCR amplification (PCR-ASO). The genotypic and allelic frequencies; and their distribution according to Hardy Weinberg expectations were calculated using the SNPstats software. Results For serum, EGFR del E746-A750 mutation, homozygous genotype (1/1) was present in 26.58%, heterozygote (1/0) in 73.42% and absence of mutant genotype with deletion (0/0); whereas for L858R mutation, 21.78% were homozygous (TT), 54.46% heterozygous (T/G) and 23.76% GG mutants. For the NMLC biopsies, the heterozygote was the most frequent genotype for both mutations, 63.16% and 73.68% for del E746-A750 and L858R, respectively. Conclusion The frequency of mutations of EGFR gene in serum samples was 36.71% for deletion delE746-A750 in exon 19 and 50.99% for L858R in exon 21. Distribution of mutations in biopsy samples NMLC resulted in 42.11% for each EGFR mutation.