Publications by authors named "Itty Sethi"

Cancer is a complex disease displaying a variety of cell states and phenotypes. This diversity, known as cancer cell plasticity, confers cancer cells the ability to change in response to their environment, leading to increased tumor diversity and drug resistance. This review explores the intricate landscape of cancer cell plasticity, offering a deep dive into the cellular, molecular, and genetic mechanisms that underlie this phenomenon.

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Background: Telomeres are repetitive DNA sequences located at the ends of chromosomes, playing a vital role in maintaining chromosomal integrity and stability. Dysregulation of telomeres has been implicated in the development of various cancers, including non-small cell lung cancer (NSCLC), which is the most common type of lung cancer. Genetic variations within telomere maintenance genes may influence the risk of developing NSCLC.

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Bioinformatics is an amalgamation of biology, mathematics and computer science. It is a science which gathers the information from biology in terms of molecules and applies the informatic techniques to the gathered information for understanding and organizing the data in a useful manner. With the help of bioinformatics, the experimental data generated is stored in several databases available online like nucleotide database, protein databases, GENBANK and others.

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Article Synopsis
  • Lung cancer is a varied disease, with non-small cell lung cancer (NSCLC) making up 80% of cases and small cell lung cancer (SCLC) 20%.
  • A study was conducted using a high-throughput genotyping method to analyze genetic variants in 723 samples, including 162 NSCLC patients and 592 healthy controls.
  • Six specific genetic variants were found to significantly relate to NSCLC risk in the Jammu and Kashmir population, showing promise for further research to uncover the genetic factors linked to this type of lung cancer.
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Telomeres are highly repetitive regions capping the chromosomes and composed of multiple units of hexa-nucleotides, TTAGGG, making their quantification difficult. Most of the methods developed to estimate telomeres are extensively cumbersome or expensive. The quantitative polymerase chain reaction (qPCR) based assay is relatively easy and cheaper method that applies SyBr Green dye chemistry to measure telomere length.

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Various Genome-wide association studies (GWAS) have reported the association of variant rs2494938 with lung cancer. However, genetic association of genetic variation with non-small cell lung cancer (NSCLC) in North Indian population remained unexplored. We conducted a case-control association study using TaqMan-based chemistry in which a total of 619 individuals, 189 NSCLC cases and 430 controls, were genotyped to explore the association of rs2494938 genetic variant of the gene with NSCLC patients from North India.

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Telomere length attrition has been implicated in various complex disorders including Type 2 Diabetes (T2D). However, very few candidate gene association studies have been carried out worldwide targeting telomere maintenance genes. In the present study, variants in various critical telomere maintenance pathway genes for T2D susceptibility in Northwest Indian population were explored.

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Several studies including genomewide association studies (GWASs) in diverse ethnic populations have reported a significant association of genetic variant rs10937405 of TP63 with nonsmall cell lung cancer (NSCLC). However, no data are available from any Indian population on the association of this variant with NSCLC. Using TaqMan genotyping chemistry, we conducted a case-control study involving 190 NSCLC cases and 400 ethnic, age-matched controls to explore the association of rs10937405 genetic variant with NSCLC in patients from north India.

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Background: Telomere genetics has recently been emerged as an important field in molecular oncology. Various genome-wide association studies in different population groups have revealed that polymorphisms in Telomere maintenance gene (TERT) gene located on 5p15.33 is associated with susceptibility to leukemia and lung cancer risk.

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Objective: To replicate the association of newly identified variants of TMEM163 (transmembrane protein 163) and COBLL1 (cordon-bleu protein-like 1) with type 2 diabetes (T2D) in Northwest Indian population.

Methods: We performed a replication study of variants rs998451 and rs6723108 of gene TMEM163 and rs7607980 of gene COBLL1. The variations were genotyped using Taqman allele discrimination assay in 1209 Northwest Indians (651 T2D cases and 558 controls).

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Type 2 Diabetes Mellitus (T2DM), a multifactorial complex disorder, is emerging as a major cause of morbidity, mortality and socio-economic burden across the world. Despite huge efforts in understanding genetics of T2DM, only ∼10% of the genetic factors have been identified so far. Telomere attrition, a natural phenomenon has recently emerged in understanding the pathophysiology of T2DM.

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