• 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

黑色素瘤和非黑色素瘤皮肤癌预防及风险分层中的生物标志物

Biomarkers in melanoma and non-melanoma skin cancer prevention and risk stratification.

作者信息

Trager Megan H, Geskin Larisa J, Samie Faramarz H, Liu Liang

机构信息

Department of Dermatology, Columbia University Irving Medical Center, New York, NY, USA.

The Hormel Institute, University of Minnesota, Austin, MN, USA.

出版信息

Exp Dermatol. 2022 Jan;31(1):4-12. doi: 10.1111/exd.14114. Epub 2020 Jun 8.

DOI:10.1111/exd.14114
PMID:32415889
Abstract

The rates of melanoma and non-melanoma skin cancer (NMSC) have been increasing over the last twenty years in the United States, and this has been attributed to increased ultraviolet radiation exposure (UVR). Given these rising rates, preventative measures have become increasingly important to reduce the incidence and promote early detection of these cancers. Skin cancer prevention remains a challenging task to accomplish mainly due to the lack of reliable and sensitive methods to provide objective risk information that can educate and motivate individuals to avoid sunburn. Currently, minimal erythema dose (MED) is used as a marker of UVR. However, it is not an ideal marker because significant cancer-related molecular damage can occur after UVR exposure that cannot be detected by MED. Thus, over the recent years there has been significant interest in development of biomarkers indicative of exposure to UVR to improve early detection of cutaneous malignancies. Here, we will discuss emerging biomarkers for melanoma and NMSC that can help with risk stratification and targeted prevention and treatment.

摘要

在过去二十年中,美国黑色素瘤和非黑色素瘤皮肤癌(NMSC)的发病率一直在上升,这归因于紫外线辐射暴露(UVR)的增加。鉴于这些发病率的上升,预防措施对于降低这些癌症的发病率和促进早期检测变得越来越重要。皮肤癌预防仍然是一项具有挑战性的任务,主要是由于缺乏可靠且敏感的方法来提供客观的风险信息,以教育和激励个人避免晒伤。目前,最小红斑剂量(MED)被用作UVR的标志物。然而,它并不是一个理想的标志物,因为在UVR暴露后可能会发生与癌症相关的显著分子损伤,而MED无法检测到这种损伤。因此,近年来人们对开发指示UVR暴露的生物标志物以改善皮肤恶性肿瘤的早期检测产生了浓厚兴趣。在此,我们将讨论黑色素瘤和NMSC的新兴生物标志物,这些生物标志物有助于风险分层以及靶向预防和治疗。

相似文献

1
Biomarkers in melanoma and non-melanoma skin cancer prevention and risk stratification.黑色素瘤和非黑色素瘤皮肤癌预防及风险分层中的生物标志物
Exp Dermatol. 2022 Jan;31(1):4-12. doi: 10.1111/exd.14114. Epub 2020 Jun 8.
2
Skin cancer epidemic. Take steps to avoid sun damage.皮肤癌流行。采取措施避免阳光伤害。
Mayo Clin Health Lett. 2006 Apr;24(4):1-3.
3
[Early diagnosis of skin cancer].[皮肤癌的早期诊断]
Ther Umsch. 2010 Sep;67(9):439-46. doi: 10.1024/0040-5930/a000077.
4
Overexposed.曝光过度。
Newsweek. 2001 Aug 20;138(8):34-8.
5
Melanoma and nonmelanoma skin cancer chemoprevention: A role for nicotinamide?黑色素瘤和非黑色素瘤皮肤癌的化学预防:烟酰胺能发挥作用吗?
Photodermatol Photoimmunol Photomed. 2018 Jan;34(1):5-12. doi: 10.1111/phpp.12328. Epub 2017 Aug 8.
6
Non-melanoma skin cancer for dentists.牙医与非黑色素瘤皮肤癌
Tex Dent J. 1996 Jun;113(6):31-3.
7
[Malignant skin tumours].[恶性皮肤肿瘤]
Soins. 2010 Sep(748):50-2.
8
Potential impact of interventions resulting in reduced exposure to ultraviolet (UV) radiation (UVA and UVB) on skin cancer incidence in four European countries, 2010-2050.干预措施减少紫外线(UVA 和 UVB)暴露对四个欧洲国家 2010-2050 年皮肤癌发病率的潜在影响。
Br J Dermatol. 2012 Aug;167 Suppl 2:53-62. doi: 10.1111/j.1365-2133.2012.11087.x.
9
Skin cancer: the future.皮肤癌:未来
Nurs Times. 2000;96(32):37-8.
10
Overview of skin cancer detection and prevention for the primary care physician.初级保健医生的皮肤癌检测与预防概述。
Mayo Clin Proc. 2000 May;75(5):491-500. doi: 10.4065/75.5.491.

引用本文的文献

1
Role of non-coding RNAs in human-papillomavirus-associated cutaneous neoplasms.非编码RNA在人乳头瘤病毒相关皮肤肿瘤中的作用
Arch Virol. 2025 Jun 29;170(8):170. doi: 10.1007/s00705-025-06335-0.
2
Impact of fine-tuning parameters of convolutional neural network for skin cancer detection.用于皮肤癌检测的卷积神经网络微调参数的影响。
Sci Rep. 2025 Apr 28;15(1):14779. doi: 10.1038/s41598-025-99529-0.
3
Applying Neural Networks to Analyse Inflammatory, Sociodemographic, and Psychological Factors in Non-Melanoma Skin Cancer and Colon Cancer: A Statistical and Artificial Intelligence Approach.
应用神经网络分析非黑色素瘤皮肤癌和结肠癌中的炎症、社会人口统计学及心理因素:一种统计与人工智能方法
Diagnostics (Basel). 2024 Dec 7;14(23):2759. doi: 10.3390/diagnostics14232759.
4
Trends in Melanoma Incidence, Prevalence, Stage at Diagnosis, and Survival: An Analysis of the United States Cancer Statistics (USCS) Database.黑色素瘤发病率、患病率、诊断分期及生存率的趋势:美国癌症统计数据库分析
Cureus. 2024 Oct 2;16(10):e70697. doi: 10.7759/cureus.70697. eCollection 2024 Oct.
5
Prognostic stratification in DLBCL patients with aberrant MYC gene.弥漫性大 B 细胞淋巴瘤中 MYC 基因异常患者的预后分层。
Br J Haematol. 2024 Nov;205(5):1782-1793. doi: 10.1111/bjh.19699. Epub 2024 Aug 13.
6
Cutaneous Oncology: Strategies for Melanoma Prevention, Diagnosis, and Therapy.皮肤肿瘤学:黑色素瘤预防、诊断和治疗策略。
Cancer Control. 2024 Jan-Dec;31:10732748241274978. doi: 10.1177/10732748241274978.
7
Recent Research Trends against Skin Carcinoma - An Overview.针对皮肤癌的最新研究趋势综述。
Curr Pharm Des. 2024;30(34):2685-2700. doi: 10.2174/0113816128307653240710044902.
8
Identifying SCC Lesions Capable of Spontaneous Regression by Using Immunohistochemistry: A Systematic Review and Meta-Analysis.利用免疫组织化学鉴定能够自发消退的鳞状细胞癌病变:一项系统评价和荟萃分析
Dermatol Pract Concept. 2024 Apr 1;14(2):e2024047. doi: 10.5826/dpc.1402a47.
9
Precision Dermatology: A Review of Molecular Biomarkers and Personalized Therapies.精准皮肤病学:分子生物标志物与个性化治疗综述
Curr Issues Mol Biol. 2024 Mar 30;46(4):2975-2990. doi: 10.3390/cimb46040186.
10
A Comprehensive Review of Various Therapeutic Strategies for the Management of Skin Cancer.皮肤癌治疗策略的综合综述
ACS Omega. 2024 Feb 22;9(9):10030-10048. doi: 10.1021/acsomega.3c09780. eCollection 2024 Mar 5.