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Asian Pacific Journal of Cancer Prevention : APJCP logoLink to Asian Pacific Journal of Cancer Prevention : APJCP
letter
. 2025;26(5):1477–1478. doi: 10.31557/APJCP.2025.26.5.1477

Unraveling the Genetic Architecture of Obesity in Childhood Cancer Survivors: Insights from Recent GWAS Studies

Maryam Yazdanparast 1, Maryam Vafapour 2,*, Rezvan Nezameslami 3, Alireza Nezameslami 4, Hossein Neamatzadeh 5,6
PMCID: PMC12290206  PMID: 40439358

Dear Editor

The growing prevalence of obesity among childhood cancer survivors is a pressing public health concern that warrants significant attention [1]. Recent genome-wide association studies (GWAS) have provided valuable insights into the genetic factors contributing to obesity, particularly among those who have experienced childhood malignancies. This letter aims to synthesize findings from recent studies, highlight key genetic variants associated with obesity in this unique population, and discuss the implications of these findings for clinical practice and further research.

Childhood cancer survivors face a myriad of long-term health challenges, one of which is the increased risk of obesity [2]. The interplay between genetic predispositions, treatment modalities, and lifestyle factors creates a complex landscape in which these individuals navigate their post-treatment lives. Studies have employed GWAS to elucidate the genetic underpinnings of obesity, identifying several noteworthy single nucleotide polymorphisms (SNPs) that may influence susceptibility to this condition [3].

We analyzed the genetic basis of obesity in childhood cancer survivors using data from recent GWAS. This involved genetic data from large, publicly available biobanks and consortia, such as the Children’s Oncology Group and the Genomics of Drug Sensitivity in Cancer project. Standardized assessments were conducted for anthropometric measurements, including body mass index (BMI), waist circumference, and body fat percentage, to define obesity. Genome-wide genotype data were generated using Illumina SNP chips, applying quality control to exclude samples and variants with low call rates, Hardy-Weinberg equilibrium violations, or substantial missing data. SNPs associated with obesity were identified through GWAS meta-analysis and confirmed in independent cohorts, with a significance threshold of p < 5 x 10-8 for genome-wide significance [4, 5].

A study by Wilson et al. (2015) examines the genetic and clinical factors linked to obesity in adult survivors of childhood cancer, specifically focusing on those who underwent cranial radiation therapy (CRT). The research involved 1,996 survivors treated at St. Jude Children’s Research Hospital, all of whom had survived for at least 10 years post-diagnosis [6].

Among the variants identified, rs12073359 stands out with an exceptional P-value of 5 x 10-6, indicating a significant association with obesity. This SNP maps to the RPL6P31 and OTUD7B genes and has been specifically linked to obesity in adult survivors of childhood cancer who were not exposed to cranial radiation. The odds ratio (OR) of 1.7 (confidence interval (CI): 1.4-2.1) implies that carriers of the risk allele are 1.7 times more likely to develop obesity compared to non-carriers. Such data underscores the importance of identifying genetic markers that may predict obesity risk in vulnerable populations.

In contrast, another variant, rs4971486, presents a P-value of 8 x 10-8 and is associated with obesity among survivors exposed to cranial radiation. This SNP is situated in the LINC01249 and RNU6-649P genes, with an OR of 1.99 (CI: 1.54-2.57). The substantial increase in obesity risk among individuals with this risk allele highlights the influence of radiation therapy on metabolic outcomes, a phenomenon that merits further exploration. Notably, this study also indicates a potential interaction between genetic factors and environmental exposures, further complicating the obesity landscape in this population.

Similarly, rs12646911, associated with GLRA3, exhibits a P-value of 1 x 10-6 and an OR of 1.89 (CI: 1.45-2.44) for individuals exposed to cranial radiation. This variant shed light on additional genetic factors that contribute to obesity in the same cohort. The significant association underscores the need for nuanced understandings of the interplay between genotype and treatment history, particularly within populations subjected to varying therapeutic modalities.

Another noteworthy variant is rs140236920, which shows a P-value of 1 x 10-7 and is linked to RPL36AP21 and SNORD81. With an OR of 1.77 (CI: 1.43-2.20), this SNP contributes to the complex genetic architecture behind obesity in survivors of childhood cancer treated with cranial radiation. The evidence calls for further investigation into the biological pathways influenced by these genes, potentially illuminating therapeutic targets for intervention. Lastly, rs35669975, associated with NALF1 and PPIAP24, demonstrates a P-value of 3 x 10-8 and an OR of 1.92 (CI: 1.52-2.44). This finding reaffirms the importance of identifying high-risk variants to guide preventive strategies and inform targeted interventions.

The implications of these findings for clinical practice are profound. Understanding the genetic predispositions to obesity can enhance risk stratification and lead to tailored preventive measures for childhood cancer survivors. Clinicians should consider incorporating genetic screening for identified variants into the survivorship care plans. Such an approach could enable proactive interventions, including personalized dietary counseling and lifestyle modifications designed to mitigate obesity risk. Moreover, these insights call for a multidisciplinary approach to care. Collaboration between oncologists, nutritionists, geneticists, and mental health professionals will be essential in creating comprehensive care strategies that address the unique needs of this population. Healthcare providers should be educated about the potential genetic risk factors for obesity and the importance of ongoing monitoring for weight management in childhood cancer survivors.

On a broader scale, future research should aim to elucidate the biological mechanisms through which these genetic variants influence obesity risk. Understanding the pathways involved could lead to innovative therapeutic approaches aimed at modulating the impact of obesity-related genes. Furthermore, expanding the scope of GWAS studies to include diverse populations and larger sample sizes will improve the generalizability of findings and foster greater understanding of the intersection between genetics and environmental factors.

In conclusion, the findings from recent GWAS studies underscore the critical role of genetic variants in the obesity landscape of childhood cancer survivors. The identified SNPs-rs12073359, rs4971486, rs12646911, rs140236920, and rs35669975-provide a glimpse into the complex genetic architecture influencing obesity risk in this population. Moving forward, concerted efforts are needed to integrate genetic insights into clinical practice and guide research initiatives aimed at uncovering the underlying biological mechanisms. Ultimately, these endeavors hold the promise of improving health outcomes for cancer survivors and fostering a better quality of life as they navigate the challenges of survivorship.

Author Contribution Statement

Concept and design: Maryam Yazdanparast, Maryam Vafapour; Data acquisition: Rezvan Nezameslami, Alireza Nezameslami; Data analysis and interpretation: Hossein Neamatzadeh; Manuscript drafting: Maryam Yazdanparast, Maryam Vafapour; Critical review: Rezvan Nezameslami, Alireza Nezameslami; Administrative support: Maryam Vafapour. All authors approved the final manuscript.

Acknowledgments

The authors wish to extend their heartfelt appreciation to all the contributors of the articles incorporated in this study. Their invaluable insights and efforts were crucial to the successful completion of this manuscript.

Ethics approval and consent to participate

This article does not involve any studies with human participants or animals conducted by the authors; therefore, consent to participate is not applicable.

Competing interests

The authors declare that they have no conflict of interest.

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