• 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

黑色素瘤的“组学”方面:基因组、蛋白质组和代谢组生物标志物的异质性。

The "-OMICS" facet of melanoma: Heterogeneity of genomic, proteomic and metabolomic biomarkers.

机构信息

The Ronald O. Perelman Department of Dermatology, New York University School of Medicine, New York, NY, United States; Interdisciplinary Melanoma Program, New York University School of Medicine, New York, NY, United States.

Department of Pathology, Section of Dermatopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.

出版信息

Semin Cancer Biol. 2019 Dec;59:165-174. doi: 10.1016/j.semcancer.2019.06.014. Epub 2019 Jul 8.

DOI:10.1016/j.semcancer.2019.06.014
PMID:31295564
Abstract

In the recent decade, cutting edge molecular and proteomic analysis platforms revolutionized biomarkers discovery in cancers. Melanoma is the prototype with over 51,100 biomarkers discovered and investigated thus far. These biomarkers include tissue based tumor cell and tumor microenvironment biomarkers and circulating biomarkers including tumor DNA (cf-DNA), mir-RNA, proteins and metabolites. These biomarkers provide invaluable information for diagnosis, prognosis and play an important role in prediction of treatment response. In this review, we summarize the most recent discoveries in each of these biomarker categories. We will discuss the challenges in their implementation and standardization and conclude with some perspectives in melanoma biomarker research.

摘要

在最近的十年中,前沿的分子和蛋白质组学分析平台彻底改变了癌症标志物的发现。黑色素瘤是迄今为止发现和研究超过 51100 种标志物的原型。这些标志物包括基于组织的肿瘤细胞和肿瘤微环境标志物以及循环标志物,包括肿瘤 DNA(cf-DNA)、mir-RNA、蛋白质和代谢物。这些标志物为诊断、预后提供了宝贵的信息,并在预测治疗反应方面发挥了重要作用。在这篇综述中,我们总结了这些标志物类别中的最新发现。我们将讨论它们在实施和标准化方面的挑战,并对黑色素瘤标志物研究的一些观点进行总结。

相似文献

1
The "-OMICS" facet of melanoma: Heterogeneity of genomic, proteomic and metabolomic biomarkers.黑色素瘤的“组学”方面:基因组、蛋白质组和代谢组生物标志物的异质性。
Semin Cancer Biol. 2019 Dec;59:165-174. doi: 10.1016/j.semcancer.2019.06.014. Epub 2019 Jul 8.
2
Liquid biomarkers in melanoma: detection and discovery.黑色素瘤的液体生物标志物:检测与发现。
Mol Cancer. 2018 Jan 17;17(1):8. doi: 10.1186/s12943-018-0757-5.
3
Data analysis methods for defining biomarkers from omics data.用于从组学数据中定义生物标志物的数据分析方法。
Anal Bioanal Chem. 2022 Jan;414(1):235-250. doi: 10.1007/s00216-021-03813-7. Epub 2021 Dec 24.
4
Precision Medicine and Melanoma: Multi-Omics Approaches to Monitoring the Immunotherapy Response.精准医学与黑色素瘤:监测免疫治疗反应的多组学方法
Int J Mol Sci. 2021 Apr 7;22(8):3837. doi: 10.3390/ijms22083837.
5
Spatial multi-omics analyses of the tumor immune microenvironment.肿瘤免疫微环境的空间多组学分析。
J Biomed Sci. 2022 Nov 14;29(1):96. doi: 10.1186/s12929-022-00879-y.
6
Multiplex Biomarker Approaches in Type 2 Diabetes Mellitus Research.2型糖尿病研究中的多重生物标志物方法。
Methods Mol Biol. 2017;1546:37-55. doi: 10.1007/978-1-4939-6730-8_3.
7
Epigenetic biomarkers in skin cancer.皮肤癌中的表观遗传生物标志物。
Cancer Lett. 2014 Jan 28;342(2):170-7. doi: 10.1016/j.canlet.2012.01.020. Epub 2012 Jan 27.
8
Omics-Based Investigations of Breast Cancer.基于组学的乳腺癌研究。
Molecules. 2023 Jun 14;28(12):4768. doi: 10.3390/molecules28124768.
9
Cancer biomarker discovery and translation: proteomics and beyond.癌症生物标志物的发现和转化:蛋白质组学及其他。
Expert Rev Proteomics. 2019 Feb;16(2):93-103. doi: 10.1080/14789450.2019.1559062. Epub 2018 Dec 24.
10
Bioinformatics Analysis and Validation of Potential Markers Associated with Prediction and Prognosis of Gastric Cancer.生物信息学分析和验证与胃癌预测和预后相关的潜在标志物。
Int J Mol Sci. 2024 May 28;25(11):5880. doi: 10.3390/ijms25115880.

引用本文的文献

1
Liquid Biopsy-Derived Tumor Biomarkers for Clinical Applications in Glioblastoma.用于胶质母细胞瘤临床应用的液体活检衍生肿瘤生物标志物
Biomolecules. 2025 May 2;15(5):658. doi: 10.3390/biom15050658.
2
Metabolite Alterations in Autoimmune Diseases: A Systematic Review of Metabolomics Studies.自身免疫性疾病中的代谢物改变:代谢组学研究的系统综述
Metabolites. 2023 Sep 1;13(9):987. doi: 10.3390/metabo13090987.
3
Multi-omics analysis of Siglec family genes in cutaneous melanoma.皮肤黑色素瘤中 Siglec 家族基因的多组学分析。
Front Immunol. 2023 May 3;14:1036019. doi: 10.3389/fimmu.2023.1036019. eCollection 2023.
4
Application of Deep Learning on the Prognosis of Cutaneous Melanoma Based on Full Scan Pathology Images.深度学习在全扫描病理图像基础上对皮肤黑色素瘤预后的应用。
Biomed Res Int. 2022 Aug 28;2022:4864485. doi: 10.1155/2022/4864485. eCollection 2022.
5
Toward Personalized Interventions for Psoriasis Vulgaris: Molecular Subtyping of Patients by Using a Metabolomics Approach.走向寻常型银屑病的个性化干预:利用代谢组学方法对患者进行分子分型
Front Mol Biosci. 2022 Jul 19;9:945917. doi: 10.3389/fmolb.2022.945917. eCollection 2022.
6
DNA methylation regulates TIGIT expression within the melanoma microenvironment, is prognostic for overall survival, and predicts progression-free survival in patients treated with anti-PD-1 immunotherapy.DNA 甲基化调控黑色素瘤微环境中的 TIGIT 表达,对总生存期具有预后意义,并可预测接受抗 PD-1 免疫治疗患者的无进展生存期。
Clin Epigenetics. 2022 Apr 11;14(1):50. doi: 10.1186/s13148-022-01270-2.
7
The tumor genetics of acral melanoma: What should a dermatologist know?肢端黑色素瘤的肿瘤遗传学:皮肤科医生应该了解什么?
JAAD Int. 2020 Dec;1(2):135-147. doi: 10.1016/j.jdin.2020.07.004. Epub 2020 Aug 13.
8
Current Status and Future Perspectives about Molecular Biomarkers of Nasopharyngeal Carcinoma.鼻咽癌分子生物标志物的现状与未来展望
Cancers (Basel). 2021 Jul 12;13(14):3490. doi: 10.3390/cancers13143490.
9
Biomarkers for Diagnosis, Prognosis and Response to Immunotherapy in Melanoma.黑色素瘤诊断、预后及免疫治疗反应的生物标志物
Cancers (Basel). 2021 Jun 9;13(12):2875. doi: 10.3390/cancers13122875.
10
Integrated metabolomic analysis and cytokine profiling define clusters of immuno-metabolic correlation in new-onset psoriasis.综合代谢组学分析和细胞因子谱分析定义了新发银屑病免疫代谢相关性的聚类。
Sci Rep. 2021 May 18;11(1):10472. doi: 10.1038/s41598-021-89925-7.