Evidence map›Paper›PMID 39282199›Full record

ArticleIndian journal of microbiology2024

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

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

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Article in Indian journal of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Santosh Kumari DuppalaSchool of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Jalandhar, India.
Pavan Kumar PoleboyinaDepartment of Genetics and Biotechnology, University College of Science, Osmania University, Hyderabad, Telangana 500007 India.
Bhumandeep KourSchool of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Jalandhar, India.
Govardhan BaleDepartment of Genetics and Biotechnology, University College of Science, Osmania University, Hyderabad, Telangana 500007 India.
Ashish VyasSchool of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Jalandhar, India.
Smita C PawarDepartment of Genetics and Biotechnology, University College of Science, Osmania University, Hyderabad, Telangana 500007 India.
Prashanth N SuravajhalaAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Amritapuri, Clappana, Kerala 690525 India.
Sugunakar VureeGenepoweRx, K&H Personalized Medicine Clinic, Jubilee Hills, Hyderabad, Telangana 500033 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Bioinformatics analysisCervical cancerImmunoblottingKMT2CQuantitative PCRReceiver operating characteristicsTranscriptome

Identifiers

PMID39282199
PMCPMC11399378

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.