The ATM Gene and Its Relationship to Thyroid Cancer Risk
The ATM (Ataxia-Telangiectasia Mutated) gene is associated with an increased risk of thyroid cancer, particularly through specific polymorphisms that can affect individual susceptibility to differentiated thyroid carcinoma. 1
What is the ATM Gene?
The ATM gene is located on chromosome 11q22-23 and encodes a nuclear protein with a critical phosphatidylinositol 3-kinase (PI3K) domain at its carboxy terminus 2. This gene plays several essential roles in cellular function:
- DNA damage response: ATM is activated in response to ionizing radiation-induced DNA damage
- Cell cycle checkpoint regulation: Controls cell cycle progression when DNA damage is detected
- DNA repair: Facilitates repair of damaged DNA
- Apoptosis regulation: Helps determine whether damaged cells undergo programmed cell death
When both copies of the ATM gene are mutated, it causes Ataxia-Telangiectasia (A-T), an autosomal recessive neurodegenerative disorder characterized by:
- Progressive cerebellar ataxia
- Oculomotor apraxia
- Oculocutaneous telangiectasia
- Variable immunodeficiency 3
ATM Gene and Thyroid Cancer Risk
The relationship between ATM gene variants and thyroid cancer has been demonstrated in several studies:
Specific Polymorphisms and Thyroid Cancer Risk
Research has identified specific ATM single nucleotide polymorphisms (SNPs) that affect thyroid cancer susceptibility:
- The G allele of ATM rs189037 shows a protective effect against differentiated thyroid carcinoma (DTC) with an adjusted OR = 0.8 (95% CI, 0.6-1.0; P = 0.04)
- The G allele of rs1800057 is associated with increased risk of DTC with an adjusted OR = 1.9 (95% CI, 1.1-3.1; P = 0.02)
- A specific haplotype (A-G-C-T-C-A) was associated with decreased risk of DTC in non-Hispanic whites 1
Cumulative Risk Effect
A significant dose-response relationship exists between the total number of risk alleles in the ATM gene and differentiated thyroid carcinoma risk:
- Carriers of 6-7 risk alleles have a 30% increased risk (adjusted OR = 1.3; 95% CI, 1.0-1.7)
- Carriers of 8-10 risk alleles have a 50% increased risk (adjusted OR = 1.5; 95% CI, 1.1-2.1) 1
Case Reports
There have been documented cases of thyroid cancer in patients with ATM mutations:
- A 13-year-old girl with A-T developed papillary thyroid carcinoma with follicular variant, requiring thyroidectomy and radioiodine therapy 4
ATM Missense Mutations and Thyroid Cancer
In a large prospective study following 10,324 individuals from the general population for 36 years:
- The ATM Ser707Pro heterozygous mutation was associated with a 10-fold increased risk of thyroid/other endocrine tumors (HR = 10; 95% CI, 1.1-93) 5
Clinical Implications
Testing for ATM Variants
The p53 mitotic centrosomal localization (p53-MCL) test in peripheral blood mononuclear cells has been validated as a reliable and specific test for detecting germline ATM variants 6. This test is:
- Straightforward
- Rapid
- Inexpensive
- Able to diagnose mutant ATM zygosity
Cancer Surveillance
For individuals with identified ATM germline pathogenic variants (GPVs):
- Breast cancer surveillance should follow country-specific guidelines (ATM is primarily known as a breast cancer susceptibility gene with a 2-fold increased risk) 3
- Prostate cancer surveillance should be considered due to moderate risk association 3
- Pancreatic cancer surveillance should be considered based on family history 3
- Thyroid cancer screening may be warranted, particularly for those with specific risk alleles or missense mutations like Ser707Pro 5
Limitations and Considerations
- Some associations between ATM variants and specific cancer types may represent chance findings due to multiple comparisons in studies 5
- The relationship between ATM and thyroid cancer needs further confirmation in independent studies 1
- ATM's role in cancer susceptibility appears to be complex, with different variants potentially affecting risk for different cancer types
Research Gaps
Systematic prospective data collection is needed to:
- Better establish the full spectrum of ATM-associated cancers
- Determine optimal surveillance protocols
- Understand treatment responses and survival outcomes 3