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乳腺癌幸存者生物衰老的转录组学标志物:一项纵向研究。

Transcriptomic markers of biological aging in breast cancer survivors: a longitudinal study.

作者信息

Carroll Judith E, Crespi Catherine M, Cole Steve, Ganz Patricia A, Petersen Laura, Bower Julienne E

机构信息

Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.

Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

出版信息

J Natl Cancer Inst. 2025 Feb 1;117(2):312-321. doi: 10.1093/jnci/djae201.

Abstract

BACKGROUND

The purpose of this study was to examine the impact of breast cancer therapy on biological aging as measured by expression of genes for cellular senescence (p16INK4a, SenMayo), DNA damage response, and proinflammatory senescence-associated secretory phenotype.

METHODS

This longitudinal, observational study evaluated women diagnosed with breast cancer (stage 0-III) prior to radiation therapy (RT) and/or chemotherapy (CT) and at repeated visits out to 2 years. Peripheral blood mononuclear cell gene expression was assessed using RNA sequencing on quality-verified RNA. Longitudinal data were analyzed using mixed linear models and a zero-inflated 2-part model.

RESULTS

Women (mean age = 55.5 years) receiving CT with or without RT (n = 73) had higher odds (odds ratio = 2.97, 95% confidence interval = 1.52 to 5.8) of having detectable p16INK4a following treatment compared with RT (n = 76) or surgery alone (n = 37). The proportion of women expressing 16INK4a over the follow-up period increased in all treatment groups (P < .001), with no interaction by treatment. All groups also increased over time in DNA damage response (P < .001), SenMayo (P < .001), and senescence-associated secretory phenotype (P < .001). Groups differed in the pattern of increase over time with statistically significant quadratic time by group differences for CT with or without RT compared with RT alone for DNA damage response (P = .05), SenMayo (P = .006), and the senescence-associated secretory phenotype (P = .02).

CONCLUSIONS

Results revealed activation of genes associated with biological aging in women with breast cancer from diagnosis through early survivorship, including DNA damage response, cell senescence, and the inflammatory secretome. Increases were evident across cancer treatments, although women receiving CT showed sustained increases, whereas RT exhibited slowing at later time points. Overall, findings suggest that women treated for breast cancer are aging within their immune cells.

摘要

背景

本研究的目的是通过细胞衰老基因(p16INK4a、SenMayo)的表达、DNA损伤反应以及促炎衰老相关分泌表型来检测乳腺癌治疗对生物衰老的影响。

方法

这项纵向观察性研究评估了在放疗(RT)和/或化疗(CT)之前被诊断为乳腺癌(0-III期)的女性,并在长达2年的多次随访中进行评估。使用RNA测序对质量验证后的RNA评估外周血单个核细胞基因表达。使用混合线性模型和零膨胀两部分模型分析纵向数据。

结果

与接受放疗(n = 76)或仅接受手术(n = 37)的女性相比,接受有或无放疗的化疗(n = 73)的女性(平均年龄 = 55.5岁)在治疗后检测到p16INK4a的几率更高(优势比 = 2.97,95%置信区间 = 1.52至5.8)。在所有治疗组中,随访期间表达16INK4a的女性比例均增加(P <.001),且无治疗交互作用。所有组的DNA损伤反应(P <.001)、SenMayo(P <.001)和衰老相关分泌表型(P <.001)也随时间增加。与单独放疗相比,有或无放疗的化疗组在DNA损伤反应(P = 0.05)、SenMayo(P = 0.006)和衰老相关分泌表型(P = 0.02)方面,随时间增加的模式存在差异,具有统计学意义的二次时间×组间差异。

结论

结果显示,从诊断到早期生存阶段,乳腺癌女性中与生物衰老相关的基因被激活,包括DNA损伤反应、细胞衰老和炎症分泌组。在所有癌症治疗中均有明显增加,尽管接受化疗的女性显示持续增加,而放疗在后期时间点则表现出减缓。总体而言,研究结果表明接受乳腺癌治疗的女性在其免疫细胞内正在衰老。

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本文引用的文献

2
A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues.
Nat Commun. 2022 Aug 16;13(1):4827. doi: 10.1038/s41467-022-32552-1.
3
Chronic stress increases transcriptomic indicators of biological aging in mouse bone marrow leukocytes.
Brain Behav Immun Health. 2022 Apr 12;22:100461. doi: 10.1016/j.bbih.2022.100461. eCollection 2022 Jul.
4
Cancer-related accelerated ageing and biobehavioural modifiers: a framework for research and clinical care.
Nat Rev Clin Oncol. 2022 Mar;19(3):173-187. doi: 10.1038/s41571-021-00580-3. Epub 2021 Dec 6.
5
An aged immune system drives senescence and ageing of solid organs.
Nature. 2021 Jun;594(7861):100-105. doi: 10.1038/s41586-021-03547-7. Epub 2021 May 12.
6
Effects of Breast Cancer Adjuvant Chemotherapy Regimens on Expression of the Aging Biomarker, .
JNCI Cancer Spectr. 2020 Dec 18;4(6):pkaa082. doi: 10.1093/jncics/pkaa082. eCollection 2020 Dec.
7
8
Population-based RNA profiling in Add Health finds social disparities in inflammatory and antiviral gene regulation to emerge by young adulthood.
Proc Natl Acad Sci U S A. 2020 Mar 3;117(9):4601-4608. doi: 10.1073/pnas.1821367117. Epub 2020 Feb 10.
9
Potential Mechanisms of Age Acceleration Caused by Estrogen Deprivation: Do Endocrine Therapies Carry the Same Risks?
JNCI Cancer Spectr. 2018 Sep 10;2(3):pky035. doi: 10.1093/jncics/pky035. eCollection 2018 Jul.
10
Fatigue after breast cancer treatment: Biobehavioral predictors of fatigue trajectories.
Health Psychol. 2018 Nov;37(11):1025-1034. doi: 10.1037/hea0000652.

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