Singh Anjana, Kant Ravi, Saluja Tajindra Singh, Tripathi Tanya, Srivastava Kamini, Naithani Manisha, Gupta Anurag, Mirza Anissa Atif, Prakash Ved, Singh Satyendra Kumar
Department of Biochemistry, AIIMS, Rishikesh, India.
Center For Advance Research, Stem Cell/Cell Culture Lab, King George's Medical University, Lucknow, Uttar Pradesh, India.
J Cancer Res Ther. 2020 Jan-Mar;16(1):127-131. doi: 10.4103/jcrt.JCRT_872_19.
More than 70% of lung cancer comprises nonsmall-cell lung carcinoma and is associated with poor survival outcome owing to late diagnosis. Identification of lung cancer in early stages when no clinical signs or symptoms are evident, can drastically improve the prognosis. To this end, we aimed to evaluate the changes occurring at tissue level by assessing the expression of six microRNAs (miRNAs) in lung adenocarcinoma (AC) and squamous cell carcinoma (SCC).
Peripheral blood of histopathologically proven cases of lung AC and SCC was collected and processed for the isolation of miRNAs using commercially available kit. Primers against mir-2114, mir-2115, mir-2116, mir-2117, mir-449c, and mir-548q with loading control Caenorhabditis elegans were used. Screening was carried out in thirty cases of both AC and SCC, whereas twenty healthy controls were included.
Real-time polymerase chain reaction data revealed that the expression of mir-2114 and mir-449c in AC and mir-2115 in SCC was significantly upregulated. The expression of these miRNAs was also confirmed in lung AC cell line. The differential pattern of expression of these miRNAs can be used for precise diagnosis of lung carcinoma.
We have used a noninvasive technique to identify the subtype of lung cancer based on molecular genetic signatures. The results suggest that through molecular profiling of miRNA, we can screen high-risk cases for cancer interception.
超过70%的肺癌为非小细胞肺癌，由于诊断较晚，其生存预后较差。在尚无明显临床体征或症状的早期阶段识别肺癌，可显著改善预后。为此，我们旨在通过评估六种微小RNA（miRNA）在肺腺癌（AC）和鳞状细胞癌（SCC）中的表达，来评估组织水平上发生的变化。
收集经组织病理学证实的肺AC和SCC病例的外周血，使用市售试剂盒进行处理以分离miRNA。使用针对mir-2114、mir-2115、mir-2116、mir-2117、mir-449c和mir-548q并以秀丽隐杆线虫为上样对照的引物。对30例AC和SCC病例进行筛查，同时纳入20名健康对照。
实时聚合酶链反应数据显示，mir-2114和mir-449c在AC中的表达以及mir-2115在SCC中的表达显著上调。这些miRNA的表达在肺AC细胞系中也得到了证实。这些miRNA的差异表达模式可用于肺癌的精确诊断。
我们使用了一种非侵入性技术，基于分子遗传特征来识别肺癌亚型。结果表明，通过miRNA的分子谱分析，我们可以筛查出癌症早期干预的高危病例。
