Oxidative Stress Links Thyroid Autoimmunity to Cancer: Peroxiredoxin 2 Protection via Genomic and Single-Cell Insights.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
환자: TC (hazard ratios = 0
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
functions as a key protective factor in both HT and TC pathogenesis, likely through modulation of oxidative stress and inflammatory signaling. These findings provide mechanistic insights into the HT-TC relationship and highlight as a promising therapeutic target for thyroid diseases.
This study identifies shared genetic factors linking Hashimoto's thyroiditis (HT) and thyroid cancer (TC) using an integrated multiomics approach.
- 95% CI 0.50-0.91
- OR 0.68
APA
Kang J, Wang S, Ni X (2025). Oxidative Stress Links Thyroid Autoimmunity to Cancer: Peroxiredoxin 2 Protection via Genomic and Single-Cell Insights.. Cancer biotherapy & radiopharmaceuticals, 40(7), 470-480. https://doi.org/10.1177/10849785251360744
MLA
Kang J, et al.. "Oxidative Stress Links Thyroid Autoimmunity to Cancer: Peroxiredoxin 2 Protection via Genomic and Single-Cell Insights.." Cancer biotherapy & radiopharmaceuticals, vol. 40, no. 7, 2025, pp. 470-480.
PMID
40735789 ↗
Abstract 한글 요약
This study identifies shared genetic factors linking Hashimoto's thyroiditis (HT) and thyroid cancer (TC) using an integrated multiomics approach. We combined Mendelian randomization (MR) analysis using FinnGen genome-wide association study data, single-cell RNA sequencing of 76,243 thyroid cells, and machine learning classification models to identify causal genes and their expression patterns across disease states. MR analysis identified 10 genes with consistent directional effects across both diseases. Peroxiredoxin 2 (PRDX2) emerged as the strongest protective factor (HT: odds ratio [OR] = 0.54, 95% confidence interval [CI]: 0.31-0.94; TC: OR = 0.68, 95% CI: 0.50-0.91). Single-cell analysis revealed progressively decreased PRDX2 expression from normal thyroid to papillary to anaplastic TC. Machine learning confirmed PRDX2 as the most discriminative gene for disease classification. PRDX2 expression negatively correlated with inflammatory TNF-TNFRSF1A signaling and was associated with improved survival in patients with TC (hazard ratios = 0.33, 95% CI: 0.11-0.96, = 0.043). functions as a key protective factor in both HT and TC pathogenesis, likely through modulation of oxidative stress and inflammatory signaling. These findings provide mechanistic insights into the HT-TC relationship and highlight as a promising therapeutic target for thyroid diseases.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
- Humans
- Peroxiredoxins
- Oxidative Stress
- Thyroid Neoplasms
- Hashimoto Disease
- Autoimmunity
- Single-Cell Analysis
- Thyroid Gland
- Multiomics
- Genome-Wide Association Study
- Single-Cell Gene Expression Analysis
- RNA-Seq
- Mendelian Randomization Analysis
- Thyroid Diseases
- Molecular Targeted Therapy
- Hashimoto’s thyroiditis
- Mendelian randomization
- PRDX2
- machine learning
- single-cell RNA sequencing
- thyroid cancer
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