• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

国际癌症研究机构致癌物关键特性研讨会:评估用于评价致癌危害机制证据的终点指标

IARC Workshop on the Key Characteristics of Carcinogens: Assessment of End Points for Evaluating Mechanistic Evidence of Carcinogenic Hazards.

作者信息

DeMarini David M, Gwinn William, Watkins Emily, Reisfeld Brad, Chiu Weihsueh A, Zeise Lauren, Barupal Dinesh, Bhatti Parveen, Cross Kevin, Dogliotti Eugenia, Fritz Jason M, Germolec Dori, Andersen Maria Helena Guerra, Guyton Kathryn Z, Jinot Jennifer, Phillips David H, Reddel Roger R, Rothman Nathaniel, van den Berg Martin, Vermeulen Roel C H, Vineis Paolo, Wang Amy, Whelan Maurice, Ghantous Akram, Korenjak Michael, Zavadil Jiri, Herceg Zdenko, Perdomo Sandra, Dossus Laure, Chittiboyina Shirisha, Cuomo Danila, Kaldor John, Pasqual Elisa, Rigutto Gabrielle, Wedekind Roland, Facchin Caterina, El Ghissassi Fatiha, de Conti Aline, Schubauer-Berigan Mary K, Madia Federica

机构信息

US Environmental Protection Agency (EPA; Retired), Research Triangle Park, North Carolina, USA.

Division of Translational Toxicology, National Institute of Environmental Health Sciences, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA.

出版信息

Environ Health Perspect. 2025 Feb;133(2):25001. doi: 10.1289/EHP15389. Epub 2025 Feb 3.

DOI:10.1289/EHP15389
PMID:39899356
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11790013/
Abstract

BACKGROUND

The 10 key characteristics (KCs) of carcinogens form the basis of a framework to identify, organize, and evaluate mechanistic evidence relevant to carcinogenic hazard identification. The 10 KCs are related to mechanisms by which carcinogens cause cancer. The () programme has successfully applied the KCs framework for the mechanistic evaluation of different types of exposures, including chemicals, metals, and complex exposures, such as environmental, occupational, or dietary exposures. The use of this framework has significantly enhanced the identification and organization of relevant mechanistic data, minimized bias in evaluations, and enriched the knowledge base regarding the mechanisms of known and suspected carcinogens.

OBJECTIVES

We sought to report the main outcomes of an IARC Scientific Workshop convened by the IARC to establish appropriate, transparent, and uniform application of the KCs in future evaluations.

METHODS

A group of experts from different disciplines reviewed the experience with the KCs of carcinogens, discussing three main themes: ) the interpretation of end points forming the evidence base for the KCs, ) the incorporation of data from novel assays on the KCs, and ) the integration of the mechanistic evidence as part of cancer hazard identification. The workshop participants assessed the relevance and the informativeness of multiple KCs-associated end points for the evaluation of mechanistic evidence in studies of exposed humans and experimental systems.

DISCUSSION

Consensus was reached on how to enhance the use of , molecular, and cellular high-output and high-throughput data. In addition, approaches to integrate evidence across the KCs and opportunities to improve methodologies of mechanistic evaluation of cancer hazards were explored. The findings described herein and in a forthcoming IARC technical report will support future working groups of experts in reporting and interpreting results under the KCs framework within the or in other contexts. https://doi.org/10.1289/EHP15389.

摘要

背景

致癌物的10个关键特征(KC)构成了一个框架的基础,该框架用于识别、组织和评估与致癌危害识别相关的机制证据。这10个关键特征与致癌物导致癌症的机制有关。()项目已成功将关键特征框架应用于不同类型暴露的机制评估,包括化学物质、金属以及环境、职业或饮食暴露等复杂暴露。该框架的使用显著增强了相关机制数据的识别和组织,最大限度地减少了评估中的偏差,并丰富了关于已知和疑似致癌物机制的知识库。

目的

我们试图报告国际癌症研究机构(IARC)召开的一次科学研讨会的主要成果,该研讨会旨在确定在未来评估中对关键特征进行适当、透明和统一的应用。

方法

一组来自不同学科的专家回顾了致癌物关键特征的经验,讨论了三个主要主题:)构成关键特征证据基础的终点的解释,)将来自关键特征新检测方法的数据纳入,以及)将机制证据整合为癌症危害识别的一部分。研讨会参与者评估了多个与关键特征相关的终点对于评估暴露人群和实验系统研究中机制证据的相关性和信息量。

讨论

就如何加强对分子、细胞高产出和高通量数据的使用达成了共识。此外,还探讨了整合关键特征证据的方法以及改进癌症危害机制评估方法的机会。本文以及即将发表的IARC技术报告中描述的研究结果将支持未来的专家工作组在国际癌症研究机构或其他背景下的关键特征框架内报告和解释结果。https://doi.org/10.1289/EHP15389 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42b6/11790013/4bcd1bf54c40/ehp15389_f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42b6/11790013/4bcd1bf54c40/ehp15389_f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42b6/11790013/4bcd1bf54c40/ehp15389_f1.jpg

相似文献

1
IARC Workshop on the Key Characteristics of Carcinogens: Assessment of End Points for Evaluating Mechanistic Evidence of Carcinogenic Hazards.国际癌症研究机构致癌物关键特性研讨会:评估用于评价致癌危害机制证据的终点指标
Environ Health Perspect. 2025 Feb;133(2):25001. doi: 10.1289/EHP15389. Epub 2025 Feb 3.
2
Improving the International Agency for Research on Cancer's consideration of mechanistic evidence.改进国际癌症研究机构对机制证据的考量。
Toxicol Appl Pharmacol. 2017 Mar 15;319:39-46. doi: 10.1016/j.taap.2017.01.020. Epub 2017 Feb 3.
3
The effect of sample site and collection procedure on identification of SARS-CoV-2 infection.样本采集部位和采集程序对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染鉴定的影响。
Cochrane Database Syst Rev. 2024 Dec 16;12(12):CD014780. doi: 10.1002/14651858.CD014780.
4
[Volume and health outcomes: evidence from systematic reviews and from evaluation of Italian hospital data].[容量与健康结果:来自系统评价和意大利医院数据评估的证据]
Epidemiol Prev. 2013 Mar-Jun;37(2-3 Suppl 2):1-100.
5
Factors that impact on the use of mechanical ventilation weaning protocols in critically ill adults and children: a qualitative evidence-synthesis.影响重症成人和儿童机械通气撤机方案使用的因素:一项定性证据综合分析
Cochrane Database Syst Rev. 2016 Oct 4;10(10):CD011812. doi: 10.1002/14651858.CD011812.pub2.
6
Mapping the key characteristics of carcinogens for glyphosate and its formulations: A systematic review.对草甘膦及其制剂的致癌特性进行特征映射:系统评价。
Chemosphere. 2023 Oct;339:139572. doi: 10.1016/j.chemosphere.2023.139572. Epub 2023 Jul 18.
7
Health professionals' experience of teamwork education in acute hospital settings: a systematic review of qualitative literature.医疗专业人员在急症医院环境中团队合作教育的经验:对定性文献的系统综述
JBI Database System Rev Implement Rep. 2016 Apr;14(4):96-137. doi: 10.11124/JBISRIR-2016-1843.
8
Neuromuscular electrical stimulation (NMES) for patellofemoral pain syndrome.用于髌股疼痛综合征的神经肌肉电刺激(NMES)
Cochrane Database Syst Rev. 2017 Dec 12;12(12):CD011289. doi: 10.1002/14651858.CD011289.pub2.
9
Eliciting adverse effects data from participants in clinical trials.从临床试验参与者中获取不良反应数据。
Cochrane Database Syst Rev. 2018 Jan 16;1(1):MR000039. doi: 10.1002/14651858.MR000039.pub2.
10
Participation in environmental enhancement and conservation activities for health and well-being in adults: a review of quantitative and qualitative evidence.成年人参与促进环境改善和保护活动对健康与福祉的影响:定量和定性证据综述
Cochrane Database Syst Rev. 2016 May 21;2016(5):CD010351. doi: 10.1002/14651858.CD010351.pub2.

引用本文的文献

1
Dynamic QSAR modeling for predicting in vivo genotoxicity and inflammation induced by nanoparticles and advanced materials: a time-dose-property/response approach.用于预测纳米颗粒和先进材料诱导的体内遗传毒性和炎症的动态定量构效关系建模:一种时间-剂量-性质/反应方法。
J Nanobiotechnology. 2025 Jun 6;23(1):420. doi: 10.1186/s12951-025-03510-y.
2
Mapping assays to the key characteristics of carcinogens to support decision-making.将检测方法与致癌物的关键特性进行映射以支持决策制定。
Database (Oxford). 2025 Apr 22;2025. doi: 10.1093/database/baaf026.

本文引用的文献

1
Application of the Key Characteristics of Carcinogens to Bisphenol A.双酚 A 的致癌物关键特征的应用。
Int J Toxicol. 2024 May-Jun;43(3):253-290. doi: 10.1177/10915818231225161. Epub 2024 Jan 10.
2
Ten years of using key characteristics of human carcinogens to organize and evaluate mechanistic evidence in IARC Monographs on the identification of carcinogenic hazards to humans: Patterns and associations.IARC 专著中利用人类致癌物关键特征对机制证据进行组织和评估以识别人类致癌危害的十年:模式和关联。
Toxicol Sci. 2024 Feb 28;198(1):141-154. doi: 10.1093/toxsci/kfad134.
3
An Approach to Assessing the Influence of Environmental and Occupational Cancer Hazard Identification on Policy Decision-Making.
评估环境和职业性致癌危害识别对政策决策影响的方法。
Environ Health Perspect. 2023 Dec;131(12):125001. doi: 10.1289/EHP12681. Epub 2023 Dec 13.
4
Invited Perspective: Good Measure-Assessing the Impact of Cancer Hazard Identification on Policies for Cancer Prevention.特邀观点:合理衡量——评估癌症风险识别对癌症预防政策的影响
Environ Health Perspect. 2023 Dec;131(12):121302. doi: 10.1289/EHP14099. Epub 2023 Dec 13.
5
Carcinogenicity of perfluorooctanoic acid and perfluorooctanesulfonic acid.全氟辛酸和全氟辛烷磺酸的致癌性。
Lancet Oncol. 2024 Jan;25(1):16-17. doi: 10.1016/S1470-2045(23)00622-8. Epub 2023 Nov 30.
6
Mapping the key characteristics of carcinogens for glyphosate and its formulations: A systematic review.对草甘膦及其制剂的致癌特性进行特征映射:系统评价。
Chemosphere. 2023 Oct;339:139572. doi: 10.1016/j.chemosphere.2023.139572. Epub 2023 Jul 18.
7
The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review.人工智能在自动化或半自动化生物医学文献分析中的应用:范围综述。
J Biomed Inform. 2023 Jun;142:104389. doi: 10.1016/j.jbi.2023.104389. Epub 2023 May 13.
8
Lung adenocarcinoma promotion by air pollutants.空气污染促进肺腺癌。
Nature. 2023 Apr;616(7955):159-167. doi: 10.1038/s41586-023-05874-3. Epub 2023 Apr 5.
9
Machine learning computational tools to assist the performance of systematic reviews: A mapping review.机器学习计算工具辅助系统评价的实施:一项映射综述。
BMC Med Res Methodol. 2022 Dec 16;22(1):322. doi: 10.1186/s12874-022-01805-4.
10
Substitution mutational signatures in whole-genome-sequenced cancers in the UK population.英国人群全基因组测序癌症中的取代突变特征。
Science. 2022 Apr 22;376(6591). doi: 10.1126/science.abl9283.