Evidence map›Paper›PMID 40760728›Full record

ArticleBMC medical genomics2025

Molecular landscape of non-driver genes in myeloproliferative neoplasms through 333 cancer genes panel: Insights to reveal in Pakistan.

Munazza Rashid, Rifat Zubair Ahmed, Muhammad Asad Usmani, Samina Naz Mukry, Uzma Zaidi, Muhammad Nadeem Asghar

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Article in BMC medical genomics, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Munazza Rashid *National Institute of Blood Disease and Bone Marrow Transplantation, Karachi, Pakistan.
Rifat Zubair Ahmed *National Institute of Blood Disease and Bone Marrow Transplantation, Karachi, Pakistan. rifzak@yahoo.com.
Muhammad Asad UsmaniDepartment of Otorhinolaryngology Head & Neck Surgery, School of Medicine, University of Maryland, Baltimore, MD, 21201, USA.
Samina Naz MukryNational Institute of Blood Disease and Bone Marrow Transplantation, Karachi, Pakistan.
Uzma ZaidiNational Institute of Blood Disease and Bone Marrow Transplantation, Karachi, Pakistan.
Muhammad Nadeem AsgharDepartment of Medical Biology, University of Québec at Trois-Rivieres, Trois-Rivieres, Québec, G9 A 5H7, Canada.

Funding

University of Karachi Dean of Science Research Grant
6 · The paper itself

Abstract

backgroundDiscoveries of driver mutations in myeloproliferative neoplasms (MPNs) have filled the diagnostic gap however there are non-driver genes which play an important role in the phenotype of the disease. This study is the first to evaluate the molecular landscape of non-driver genes in MPNs patients from Pakistan.

methodsA sample of fourteen MPNs patients (eight essential thrombocythemia, five primary myelofibrosis and one polycythemia vera) was investigated by the next generation sequencing, using 333 cancer genes panel. Chi square test was run in SPSS 22.0 to check association of non-driver genes with sub categories of MPNs.

resultAmong 333 oncology related genes, possible pathogenic variations were identified in 2.1% of analyzed genes (7/333). TP53 and KIT were the only known frequent non-driver genes in MPNs which were found mutated in this study. The highest frequency (85.7%) was found of UGT1 A1 gene variant *28 with 71.4% heterozygous (*1/*28) and 14.2% homozygous genotype (*28/*28). Second most common (64.2%) detected gene variants were of MTHFR with WT/c.1298A > C, c.1298A > C/c.1298A > C and c.677C > T/c.1298A > C genotypes 28.5%, 28.5% and 7.1%, respectively. Frequency of TP53 substitution c.215C > G was 57.1% and XRCC1 c.1196 A > G was 42.8%. KIT CNV was 42.8% whereas KIT substitution c.1924A > G was 7.1%. The frequency of DPYD *9A/c.496A > G/ IVS1 0-15 T > C and *2A/*9A/c.496A > G was 21.4%. The lowest frequency (7.1%) was observed of CYP2D6 *4/*41. KIT was significantly (P = 0.026) frequently mutated in primary myelofibrosis patients (4/5).

conclusionA distinct molecular landscape of non-driver genes was observed in MPNs from Pakistan and most of the genes detected belonged to drug metabolizing pathways.

Indexed as

Genes, NeoplasmMyeloproliferative DisordersAdultAgedFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutationPakistanMolecular landscapeMyeloproliferative neoplasmsNext generation sequencingNon-driver genes

Identifiers

PMID40760728
PMCPMC12323069

What Socratic holds

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LicenceCC BY-NC-ND
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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.