Skip to main content
Log in

Analysis of Molecular Genetic Variants of Lgals4 in Esophageal Cancer: A Preliminary Report

  • Original Article
  • Published:
Biochemical Genetics Aims and scope Submit manuscript

Abstract

Esophageal cancer is the eighth most common cancer worldwide and fourth most common in developing countries. Altered glycosylation pattern of cell membrane molecules along with inflammation is a characteristic attribute of oncogenesis. Galectin-4, a tandem repeat galectin, has shown effect on cancer progression/metastasis in digestive system cancers. This role of galectin-4 can be attributed to variations in LGALS4, gene encoding galectin-4. The present case–control study was designed to analyze four intronic SNPs in LGALS4 with susceptibility toward esophageal cancer.Esophageal cancer cases and age- and gender-matched apparently healthy individuals were recruited for the present study. Genotyping of rs8113319, rs4802886, rs4802887, and rs12610990 was carried out using Sanger sequencing and PCR–RFLP. MedCalc software, SNPStats and SHEsis online platform were used for statistical analysis.Genotypic analyses revealed an overall increased heterozygosity of rs12610990, rs4802886, and rs4802887, and AA genotype of rs8113319 in the study participants. Haplotypic analyses also revealed a predominance of AAAT haplotype in the cases. Moreover, combined presence of wild alleles of rs4802886 and rs4802887 could influence protection toward disease, and combined presence of wild alleles of rs12610990 and rs8113319 could influence disease susceptibility. Furthermore, a strong linkage disequilibrium was also observed between the SNPs. Further studies are underway to validate galectin-4 and its genetic variants as blood-based biomarkers in early disease diagnosis, improving treatment outcome.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data Availability

All data generated or analyzed during this study are included in this article [and its supplementary information file].

References

Download references

Acknowledgements

We are grateful to the staff of Department of Radiation Oncology, GND Hospital Government Medical College, Amritsar (Pb) and Sri Guru Ramdas Institute of Medical Sciences and Research, Amritsar (Pb) for their invaluable assistance during sample collection. We are also grateful to the study participants for providing their samples for this study. SK would also like to acknowledge Council of Scientific and Industrial Research (CSIR), New Delhi for providing Ph.D. fellowship.

Author information

Authors and Affiliations

Authors

Contributions

SK reviewed the literature, was involved in designing as well as, performing experiments, analysis and interpretation of the data obtained and draft the manuscript. RD and JS were instrumental in sample collection and esophageal cancer diagnosis. MK, JS, and NK contributed in the experimental design, data analysis, manuscript editing and supervision. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Manpreet Kaur.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 20 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kaur, S., Devgan, R., Singh, J. et al. Analysis of Molecular Genetic Variants of Lgals4 in Esophageal Cancer: A Preliminary Report. Biochem Genet (2024). https://doi.org/10.1007/s10528-024-10780-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10528-024-10780-y

Keywords

Navigation