Izzotti Alberto, Coronel Vargas Gabriela, Pulliero Alessandra, Coco Simona, Vanni Irene, Colarossi Cristina, Blanco Giuseppina, Agodi Antonella, Barchitta Martina, Maugeri Andrea, Oliveri Conti Gea, Ferrante Margherita, Sciacca Salvatore
Department of Experimental Medicine, University of Genoa, 16132 Genoa, Italy.
UOC Mutagenesis and Cancer Prevention, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy.
J Pers Med. 2021 Mar 5;11(3):182. doi: 10.3390/jpm11030182.
Oncogene mutations may be drivers of the carcinogenesis process. MicroRNA (miRNA) alterations may be adaptive or pathogenic and can have consequences only when mutation in the controlled oncogenes occurs. The aim of this research was to analyze the interplay between miRNA expression and oncogene mutation. A total of 2549 miRNAs were analyzed in cancer tissue-in surrounding normal lung tissue collected from 64 non-smoking patients and in blood plasma. Mutations in 92 hotspots of 22 oncogenes were tested in the lung cancer tissue. MicroRNA alterations were related to the mutations occurring in cancer patients. Conversely, the frequency of mutation occurrence was variable and spanned from the k-ras and p53 mutation detected in 30% of patients to 20% of patients in which no mutation was detected. The prediction of survival at a 3-year follow up did not occur for mutation analysis but was, conversely, well evident for miRNA analysis highlighting a pattern of miRNA distinguishing between survivors and death in patients 3 years before this clinical onset. A signature of six lung cancer specific miRNAs occurring both in the lungs and blood was identified. The obtained results provide evidence that the analysis of both miRNA and oncogene mutations was more informative than the oncogene mutation analysis currently performed in clinical practice.
癌基因突变可能是致癌过程的驱动因素。微小RNA(miRNA)改变可能是适应性的或致病性的,并且只有在受控癌基因发生突变时才会产生后果。本研究的目的是分析miRNA表达与癌基因突变之间的相互作用。对从64名非吸烟患者收集的癌组织及其周围正常肺组织以及血浆中的总共2549种miRNA进行了分析。在肺癌组织中检测了22种癌基因的92个热点区域的突变。miRNA改变与癌症患者中发生的突变有关。相反,突变发生的频率是可变的,范围从30%的患者中检测到的k-ras和p53突变到20%未检测到突变的患者。对3年随访生存情况的预测在突变分析中未出现,但相反,在miRNA分析中很明显,突出了一种在临床发病前3年区分患者存活和死亡的miRNA模式。鉴定出了在肺和血液中均出现的六种肺癌特异性miRNA的特征。获得的结果提供了证据,表明miRNA和癌基因突变分析比目前临床实践中进行的癌基因突变分析更具信息性。