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一项基于全外显子组与转录组相关性的试点研究揭示了印度宫颈癌人群中的强效变异体。

A Pilot Study Based on the Correlation Between Whole Exome and Transcriptome Reveals Potent Variants in the Indian Population of Cervical Cancer.

作者信息

Duppala Santosh Kumari, Poleboyina Pavan Kumar, Kour Bhumandeep, Bale Govardhan, Vyas Ashish, Pawar Smita C, Suravajhala Prashanth N, Vuree Sugunakar

机构信息

School of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Jalandhar, India.

Department of Genetics and Biotechnology, University College of Science, Osmania University, Hyderabad, Telangana 500007 India.

出版信息

Indian J Microbiol. 2024 Sep;64(3):1222-1245. doi: 10.1007/s12088-024-01295-6. Epub 2024 May 20.

DOI:10.1007/s12088-024-01295-6
PMID:39282199
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11399378/
Abstract

Cervical malignancy (CC) is the 2nd most prevalent malignancy among females, leading to cancer mortality. Primary detection of CC tumors results in an improved prognosis. CC is a malignant gynecological tumor, with few treatment options. New diagnostic and therapeutic agents are required to expand patient survival and quality of life. If CC tumors can be found at an early stage, the prognosis is much brighter. New diagnostic and therapeutic agents are needed to increase patient survival and quality of life. In this work, we performed whole-exome sequencing utilizing V5 (Illumina platform) 10 samples, 5 control and 5 CC tumour tissue, and we compared the results with transcriptome studies. KMT2C variations were shown to be among the most vicious in this analysis. From an Indian viewpoint, we found a plethora of SNVs and mutations, including those with known, unknown, and possible effects on health. Based on our findings, we know that the KMT2C gene is on chr. Seven and in exon 8, all three recognized variants are missense, synonymous, coding synonymous, non-coding variants, and GnomAD MAF (- 0.05). The variation at position (7:152265091, T > A, SNV 62478356) in KMT2C is unique, potent, and pathogenic. The missense coding transcript CIQTNF maps to chromosome 7 and displays T > C SNV. In addition, we performed single strand conformational polymorphism analysis on 64 samples and further confirmed them using Sanger sequencing to understand and verify the mutations. KMT2C shows a log FC value of - 1.16. Understanding emerging harmful mutations from an Indian viewpoint is facilitated by our bioinformatics-based, extensive correlation studies of WES analysis. Potentially harmful and new mutations were found in our preliminary analysis; among these ten top mutated genes, KMT2C and CIQTNF were altered in ten cases of CC with an Indian phenotype.

摘要

宫颈癌(CC)是女性中第二常见的恶性肿瘤,可导致癌症死亡。CC肿瘤的早期检测可改善预后。CC是一种恶性妇科肿瘤,治疗选择有限。需要新的诊断和治疗药物来延长患者生存期并提高生活质量。如果能在早期发现CC肿瘤,预后会好得多。需要新的诊断和治疗药物来提高患者生存期和生活质量。在这项工作中,我们使用V5(Illumina平台)对10个样本(5个对照样本和5个CC肿瘤组织样本)进行了全外显子组测序,并将结果与转录组研究进行了比较。在该分析中,KMT2C变异被证明是最恶性的变异之一。从印度的角度来看,我们发现了大量的单核苷酸变异(SNV)和突变,包括那些对健康有已知、未知和可能影响的变异。基于我们的发现,我们知道KMT2C基因位于7号染色体上,在第8外显子中,所有三个已识别的变异都是错义、同义、编码同义、非编码变异,且GnomAD MAF(-0.05)。KMT2C中位置(7:152265091,T>A,SNV 62478356)的变异是独特、强效且致病的。错义编码转录本CIQTNF定位于7号染色体,并显示T>C SNV。此外,我们对64个样本进行了单链构象多态性分析,并使用桑格测序进一步确认,以了解和验证突变。KMT2C的对数倍变化(log FC)值为-1.16。我们基于生物信息学的WES分析广泛关联研究有助于从印度的角度理解新出现的有害突变。在我们的初步分析中发现了潜在有害和新的突变;在这十个突变最频繁的基因中,KMT2C和CIQTNF在十例具有印度表型的CC病例中发生了改变。