DNA methylation-predicted GDF-15 and mortality in cancer survivors: a cohort study.

IF 2.5 4区 医学 Q3 ONCOLOGY
Neoplasma Pub Date : 2026-02-01 Epub Date: 2026-01-21 DOI:10.4149/neo_2025_250629N284
Jingying Nong, Kejian Shi, Yi Zhang
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引用次数: 0

Abstract

Developing non-invasive prognostic biomarkers remains critical to improving personalized cancer care. Growth differentiation factor-15 (GDF-15), a TGF-β family cytokine, plays a key role in tumorigenesis and immune evasion. Circulating GDF-15 serves as a biomarker for cancer prognosis, and DNA methylation (DNAm)-predicted GDF-15 has been linked to mortality risk in the general population. However, the association between DNAm-predicted GDF-15 and mortality risk in cancer survivors remains unexplored. We analyzed the association between DNAm-predicted GDF-15 and all-cause, long-term all-cause, and cancer mortality risks using a cohort of 343 cancer survivors from the National Health and Nutrition Examination Survey (NHANES) 1999-2002 with a median follow-up of 138 months. Multivariable Cox regression reporting hazard ratios (HRs) and 95% confidence intervals (CIs) demonstrated that each 1-standard deviation (SD) increment in DNAm-predicted GDF-15 was associated with a 60% higher all-cause mortality risk adjusted with model 1 of age and sex, and a 54% greater all-cause mortality risk in model 2 adjusted additionally for ethnicity, education, smoking, and coronary heart disease. Participants in the high GDF-15 tertile showed a 201% and 166% higher mortality risk in model 1 and model 2, respectively (both p for trend <0.0001) compared to the low tertile. Its association with long-term mortality risk remains unchanged. Stratified analyses indicated consistent relationships across multiple subgroups. Kaplan-Meier and competing risk analyses revealed a graded increase in cancer mortality risk across ascending GDF-15 tertiles; Cox models confirmed a significant positive association per 1-SD increment in the unadjusted model and model 1, which remained consistent in direction and magnitude in model 2, with a marginally significant (p=0.052). The current study provided evidence that DNAm-predicted GDF-15, an alternative and precise estimate of GDF-15 based on DNA methylation, is positively associated with all-cause and long-term all-cause mortality risks and showed a trend of positive association with cancer mortality among cancer survivors. Future larger longitudinal studies with serial DNAm-predicted GDF-15 assessments are needed to verify potential causal links.

DNA甲基化预测癌症幸存者的GDF-15和死亡率:一项队列研究。
开发非侵入性预后生物标志物对于改善个性化癌症治疗仍然至关重要。生长分化因子-15 (Growth differentiation factor-15, GDF-15)是TGF-β家族细胞因子,在肿瘤发生和免疫逃逸中起关键作用。循环GDF-15作为癌症预后的生物标志物,DNA甲基化(DNAm)预测的GDF-15与普通人群的死亡风险有关。然而,dnam预测的GDF-15与癌症幸存者死亡风险之间的关系仍未被探索。我们分析了dnam预测的GDF-15与全因、长期全因和癌症死亡风险之间的关系,使用了1999-2002年国家健康与营养调查(NHANES)中位随访138个月的343名癌症幸存者队列。多变量Cox回归报告危险比(hr)和95%置信区间(ci)表明,dnam预测的GDF-15每增加1个标准差(SD),经年龄和性别模型1调整后的全因死亡风险增加60%,经种族、教育、吸烟和冠心病因素调整后的模型2的全因死亡风险增加54%。在模型1和模型2中,高GDF-15分位数的参与者的死亡风险分别比低分位数的参与者高201%和166%(趋势p均< 0.0001)。它与长期死亡风险的关系没有改变。分层分析表明,在多个亚组之间存在一致的关系。Kaplan-Meier和竞争风险分析显示,随着GDF-15的增加,癌症死亡风险逐渐增加;Cox模型证实,未调整模型与模型1每增加1- sd均存在显著正相关,模型2在方向和幅度上保持一致,且具有边际显著性(p = 0.052)。目前的研究提供的证据表明,dnam预测的GDF-15(基于DNA甲基化的GDF-15的替代和精确估计)与全因和长期全因死亡风险呈正相关,并且在癌症幸存者中显示出与癌症死亡率呈正相关的趋势。未来需要进行更大规模的纵向研究,对dnam预测的GDF-15进行评估,以验证潜在的因果关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neoplasma
Neoplasma 医学-肿瘤学
CiteScore
5.40
自引率
0.00%
发文量
238
审稿时长
3 months
期刊介绍: The journal Neoplasma publishes articles on experimental and clinical oncology and cancer epidemiology.
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