Longer Telomeres Raise Pan-Cancer Risk via TERT-Driven Genomic and Immune Disruption
A Mendelian randomization study links longer telomere length to 33 cancer types, with TERT emerging as a master hub gene altering genomic stability and immune infiltration.
Summary
Using Mendelian randomization across nearly 500,000 individuals, researchers found that genetically longer telomeres significantly raise risk across 33 cancer types (OR 1.27–1.41). From 121 telomere-associated SNPs, 143 protein-coding genes were identified, with TERT emerging as the top hub gene. TCGA transcriptomic analysis confirmed TERT overexpression in 16 cancer types, validated by RT-qPCR in 16 paired tumor/normal cell lines. TERT showed strong diagnostic performance (AUC >0.85 in 16 cancers, peaking at 0.97 in lung squamous cell carcinoma). Immune infiltration analysis revealed TERT correlates positively with immunosuppressive Th2 cells and negatively with dendritic cells and macrophages, suggesting it reshapes the tumor immune microenvironment to favor cancer progression.
Detailed Summary
Telomeres protect chromosome ends from degradation and fusion, but their length has a complex, bidirectional relationship with cancer. While critically short telomeres can suppress tumor growth by triggering senescence, excessively long telomeres may confer unlimited replicative capacity to malignant cells. This study set out to rigorously quantify the causal contribution of telomere length to cancer risk across multiple tumor types and identify the molecular intermediaries responsible.
The researchers applied two-sample Mendelian randomization (MR) using GWAS data from 472,174 European individuals (MRCIEU, telomere length exposure) and 500,244 individuals from the FinnGen R11 pan-cancer dataset (outcome). Multiple MR methods — inverse-variance weighted (IVW), MR-Egger, and weighted mode — were used with strict instrumental variable quality control (P < 5×10⁻⁶, F-statistic >10, LD pruning r² < 0.001). Leave-one-out and funnel plot analyses confirmed robustness. Longer telomere length was causally associated with increased risk across all 33 tested cancer endpoints (IVW OR = 1.27–1.41, all P < 0.001), spanning head and neck, respiratory, digestive, skin, breast, urological, neurological, and hematological malignancies.
From the 121 telomere-length-associated SNPs, SNPense annotation identified 143 protein-coding genes. Protein-protein interaction (PPI) network analysis using STRING, followed by MCODE and cytoHubba algorithms, pinpointed TERT (telomerase reverse transcriptase) as the most central hub gene with the highest MCC score (169). Functional enrichment via GO and KEGG highlighted pathways in telomere maintenance, CST complex function, and genome integrity. Reactome and Human Phenotype analyses further connected these genes to hematological phenotypes and telomere length regulation.
TCGA pan-cancer RNA-seq analysis confirmed TERT is overexpressed in 16 cancer types including cholangiocarcinoma (CHOL), hepatocellular carcinoma (LIHC), and lung adenocarcinoma (LUAD). This finding was independently validated through RT-qPCR in 16 paired tumor versus normal human cell lines representing diverse tissue origins. ROC curve analysis demonstrated strong diagnostic utility for TERT, with AUC exceeding 0.85 in 16 cancer types and reaching 0.97 in lung squamous cell carcinoma (LUSC). Immune infiltration analysis revealed TERT expression positively correlates with Th2 cells (r = 0.42) — associated with immunosuppression — and negatively with dendritic cells (r = −0.38) and macrophages (r = −0.31), suggesting TERT actively remodels the tumor immune microenvironment to evade immune surveillance.
Taken together, this study proposes a mechanistic framework whereby genetically longer telomeres promote pan-cancer susceptibility through two converging pathways: TERT-mediated genomic instability enabling continued malignant proliferation, and immune microenvironment remodeling that suppresses anti-tumor immunity. These findings position TERT as a high-priority diagnostic biomarker and therapeutic target across multiple cancer types.
Key Findings
- Longer telomere length causally raises risk across 33 cancer types (IVW OR = 1.27–1.41, all P < 0.001).
- TERT emerged as the top hub gene (MCC score 169) among 143 telomere-associated protein-coding genes.
- TERT is overexpressed in 16 cancer types and shows AUC >0.85 diagnostic performance, peaking at 0.97 in LUSC.
- TERT positively correlates with immunosuppressive Th2 cells (r = 0.42) and negatively with dendritic cells and macrophages.
- RT-qPCR in 16 paired cancer/normal cell lines independently validated TERT overexpression across tissue types.
Methodology
Two-sample Mendelian randomization used GWAS data from 472,174 Europeans (telomere length) and 500,244 FinnGen participants (pan-cancer outcomes), with IVW, MR-Egger, and weighted mode sensitivity analyses. Telomere-associated genes were annotated via SNPense, analyzed in PPI networks (STRING/MCODE/cytoHubba), and validated with TCGA transcriptomics and RT-qPCR in 16 paired human cell lines.
Study Limitations
The MR analysis was restricted to European-ancestry populations, limiting generalizability to other ethnic groups. TCGA data are cross-sectional, preventing causal inference about TERT expression dynamics over tumor progression. The immune infiltration findings are correlational and require functional validation in experimental tumor models.
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