Evidence map›Paper›PMID 40214839›Full record

SynthesisJournal of the Egyptian National Cancer Institute2025

Investigating the impact of IKZF1 SNPs rs4132601 and rs11978267 on acute lymphoblastic leukemia: a comprehensive meta-analysis.

Sheena Mariam Thomas, Jethendra Kumar Muruganantham, Praveen Kumar Chandra Sekar, B K Iyshwarya, Ramakrishnan Veerabathiran

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of the Egyptian National Cancer Institute, 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sheena Mariam ThomasHuman Cytogenetics and Genomics Laboratory, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, 603103, India.
Jethendra Kumar MurugananthamHuman Cytogenetics and Genomics Laboratory, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, 603103, India.
Praveen Kumar Chandra SekarHuman Cytogenetics and Genomics Laboratory, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, 603103, India.
B K IyshwaryaHuman Cytogenetics and Genomics Laboratory, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, 603103, India.
Ramakrishnan VeerabathiranHuman Cytogenetics and Genomics Laboratory, Faculty of Allied Health Sciences, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, 603103, India. rkgenes@gmail.com.ORCID http://orcid.org/0000-0002-9307-5428

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis meta-analysis investigates the association between acute lymphoblastic leukemia (ALL) susceptibility and IKZF1 gene SNPs.

methodsUtilizing EMBASE, PubMed, and other databases, the study evaluated methodological quality through the Newcastle-Ottawa Scale (NOS) scoring and Hardy-Weinberg Equilibrium (HWE) value. The present meta-analysis used Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Review Manager 5.4 software was employed for data analysis, emphasizing genetic variants' significance (p < 0.05). Visualizations were achieved using funnel and Circos plots.

resultsA significant association was found between rs4132601 and ALL across genetic models, contrasting with the non-significant correlation for rs11978267. The findings underscore the complex interplay of genetic factors in ALL susceptibility, particularly related to IKZF1 SNPs. Ethnicity emphasizes the importance of diverse population considerations.

conclusionThis meta-analysis highlights the significance of rs4132601 in ALL's genetic foundation, suggesting potential advancements in diagnostics. The lack of correlation for rs11978267 highlights the complexity of its genetic association. Future studies should prioritize larger, diverse samples for a comprehensive understanding and improved strategies for ALL diagnoses and treatments.

Indexed as

Genetic Predisposition to DiseaseIkaros Transcription FactorPolymorphism, Single NucleotidePrecursor Cell Lymphoblastic Leukemia-LymphomaHumansIkaros Transcription FactorIKZF1 protein, humanAcute lymphoblastic leukemiaGenetic associationHeterogeneityIKZF1 GeneLeukemiasSingle nucleotide polymorphisms

Identifiers

PMID40214839
PMCPMC13313425

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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 OpenQuestion graph.