• 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

乳腺癌血清脂质组学分析以识别筛查、诊断和预后生物标志物。

Serum Lipidomic Profiling in Breast Cancer to Identify Screening, Diagnostic, and Prognostic Biomarkers.

作者信息

Fichtali Karima, Bititi Amine, Elghanmi Adil, Ghazi Bouchra

机构信息

Cheikh Khalifa International Hospital, Faculty of Medicine, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco.

National Laboratory of Reference, Faculty of Medicine, Mohammed VI University of Health Sciences (UM6SS), Casablanca, Morocco.

出版信息

Biores Open Access. 2020 Jan 3;9(1):1-6. doi: 10.1089/biores.2018.0022. eCollection 2020.

DOI:10.1089/biores.2018.0022
PMID:32042507
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6945794/
Abstract

Breast cancer is the major mortality cause of women worldwide. In the course of management of breast cancer, the identification of a biomarker is important in enhancing our knowledge on cancer pathology, predicting the response to treatment, and selecting the patients who are more favorable to receive certain treatments. These biomarkers have a prognostic value. In addition to traditional breast cancer prognosis factors such as the tumor size and grade, the axillary lymph node micrometastasis, and biomarkers such as HER2/neu, newly discovered biomarkers have been discovered. Some of these factors are genetic signature in tissue or in peripheral blood. Lipid profil, a simple and accessible biological examination, has been a novel path on the prediction of breast cancer risk of occurrence and recurrence in many studies. The main goal of our review is to evaluate lipid profile and breast cancer risk with an emphasis on the prognosis value of lipid profiles in breast cancer patient management.

摘要

乳腺癌是全球女性的主要死因。在乳腺癌的治疗过程中,生物标志物的识别对于增进我们对癌症病理学的了解、预测治疗反应以及选择更适合接受某些治疗的患者至关重要。这些生物标志物具有预后价值。除了传统的乳腺癌预后因素,如肿瘤大小和分级、腋窝淋巴结微转移以及HER2/neu等生物标志物外,还发现了一些新的生物标志物。其中一些因素是组织或外周血中的基因特征。血脂谱,一种简单且可及的生物学检查,在许多研究中已成为预测乳腺癌发生和复发风险的新途径。我们综述的主要目的是评估血脂谱与乳腺癌风险,重点关注血脂谱在乳腺癌患者管理中的预后价值。

相似文献

1
Serum Lipidomic Profiling in Breast Cancer to Identify Screening, Diagnostic, and Prognostic Biomarkers.乳腺癌血清脂质组学分析以识别筛查、诊断和预后生物标志物。
Biores Open Access. 2020 Jan 3;9(1):1-6. doi: 10.1089/biores.2018.0022. eCollection 2020.
2
Prognostic significance of serum Her2/neu, BCL2, CA15-3 and CEA in breast cancer patients: a short follow-up.乳腺癌患者血清 Her2/neu、BCL2、CA15-3 和 CEA 的预后意义:短期随访。
Cancer Biomark. 2010;6(2):63-72. doi: 10.3233/CBM-2009-0119.
3
Overview of resistance to systemic therapy in patients with breast cancer.乳腺癌患者全身治疗耐药概述。
Adv Exp Med Biol. 2007;608:1-22. doi: 10.1007/978-0-387-74039-3_1.
4
Gene expression profiling for guiding adjuvant chemotherapy decisions in women with early breast cancer: an evidence-based and economic analysis.用于指导早期乳腺癌女性辅助化疗决策的基因表达谱分析:基于证据的经济分析
Ont Health Technol Assess Ser. 2010;10(23):1-57. Epub 2010 Dec 1.
5
[Lipidomic markers of tumor progress in breast cancer patients].[乳腺癌患者肿瘤进展的脂质组学标志物]
Biomed Khim. 2022 Apr;68(2):144-152. doi: 10.18097/PBMC20226802144.
6
[A new perspective on axillary dissection in situations of metastatic sentinel node].[转移性前哨淋巴结情况下腋窝清扫术的新视角]
Rozhl Chir. 2017 Fall;96(8):346-352.
7
CCR7 and CXCR4 as novel biomarkers predicting axillary lymph node metastasis in T1 breast cancer.CCR7和CXCR4作为预测T1期乳腺癌腋窝淋巴结转移的新型生物标志物。
Clin Cancer Res. 2005 Aug 15;11(16):5686-93. doi: 10.1158/1078-0432.CCR-05-0014.
8
Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy.利用预后信息为乳腺癌患者选择辅助性全身治疗的成本效益
Health Technol Assess. 2006 Sep;10(34):iii-iv, ix-xi, 1-204. doi: 10.3310/hta10340.
9
Validated biomarkers: The key to precision treatment in patients with breast cancer.经过验证的生物标志物:乳腺癌患者精准治疗的关键。
Breast. 2016 Oct;29:192-201. doi: 10.1016/j.breast.2016.07.009. Epub 2016 Aug 9.
10
Prognostic and predictive biomarkers in breast cancer: Past, present and future.乳腺癌的预后和预测生物标志物:过去、现在和未来。
Semin Cancer Biol. 2018 Oct;52(Pt 1):56-73. doi: 10.1016/j.semcancer.2017.08.010. Epub 2017 Sep 4.

引用本文的文献

1
Lipid Metabolism and Breast Cancer: A Narrative Review of the Prognostic Implications and Chemotherapy-Induced Dyslipidemia.脂质代谢与乳腺癌:关于预后影响及化疗诱导的血脂异常的叙述性综述
Life (Basel). 2025 Apr 23;15(5):689. doi: 10.3390/life15050689.
2
Discovery of Plasma Lipids as Potential Biomarkers Distinguishing Breast Cancer Patients from Healthy Controls.发现血浆脂质可作为潜在的生物标志物,区分乳腺癌患者与健康对照者。
Int J Mol Sci. 2024 Oct 28;25(21):11559. doi: 10.3390/ijms252111559.
3
Leveraging ML for profiling lipidomic alterations in breast cancer tissues: a methodological perspective.利用机器学习分析乳腺癌组织中的脂质组学改变:一种方法学视角。
Sci Rep. 2024 Oct 28;14(1):25825. doi: 10.1038/s41598-024-71439-7.
4
The impact of circulating protein levels identified by affinity proteomics on short-term, overall breast cancer risk.亲和蛋白质组学鉴定出的循环蛋白水平对短期总体乳腺癌风险的影响。
Br J Cancer. 2024 Mar;130(4):620-627. doi: 10.1038/s41416-023-02541-2. Epub 2023 Dec 22.
5
Effect of Serum Lipid Profile on the Risk of Breast Cancer: Systematic Review and Meta-Analysis of 1,628,871 Women.血清脂质谱对乳腺癌风险的影响:对1,628,871名女性的系统评价和荟萃分析
J Clin Med. 2022 Aug 2;11(15):4503. doi: 10.3390/jcm11154503.
6
Integration Profiling Between Plasma Lipidomics, Epstein-Barr Virus and Clinical Phenomes in Nasopharyngeal Carcinoma Patients.鼻咽癌患者血浆脂质组学、爱泼斯坦-巴尔病毒与临床表型之间的整合分析
Front Microbiol. 2022 Jun 30;13:919496. doi: 10.3389/fmicb.2022.919496. eCollection 2022.
7
Bilayer Forming Phospholipids as Targets for Cancer Therapy.双层形成磷脂作为癌症治疗的靶点。
Int J Mol Sci. 2022 May 9;23(9):5266. doi: 10.3390/ijms23095266.
8
Low level of serum high-density lipoprotein cholesterol in gastric cancer correlates with cancer progression but not survival.胃癌患者血清高密度脂蛋白胆固醇水平较低与癌症进展相关,但与生存率无关。
Transl Cancer Res. 2020 Oct;9(10):6206-6213. doi: 10.21037/tcr-20-1220.
9
Beneficial Effects of Oral Nutritional Supplements on Body Composition and Biochemical Parameters in Women with Breast Cancer Undergoing Postoperative Chemotherapy: A Propensity Score Matching Analysis.口服营养补充剂对接受术后化疗的乳腺癌女性体成分和生化参数的有益影响:倾向评分匹配分析。
Nutrients. 2021 Oct 10;13(10):3549. doi: 10.3390/nu13103549.
10
Proteomics and its applications in breast cancer.蛋白质组学及其在乳腺癌中的应用。
Am J Cancer Res. 2021 Sep 15;11(9):4006-4049. eCollection 2021.

本文引用的文献

1
Emerging roles of lipid metabolism in cancer metastasis.脂质代谢在癌症转移中的新作用。
Mol Cancer. 2017 Apr 11;16(1):76. doi: 10.1186/s12943-017-0646-3.
2
Clinical use of biomarkers in breast cancer: Updated guidelines from the European Group on Tumor Markers (EGTM).生物标志物在乳腺癌中的临床应用:欧洲肿瘤标志物小组(EGTM)的更新指南。
Eur J Cancer. 2017 Apr;75:284-298. doi: 10.1016/j.ejca.2017.01.017. Epub 2017 Feb 28.
3
Exercise metabolism in 2016: Health benefits of exercise - more than meets the eye!2016年的运动代谢:运动对健康的益处——远不止于表面所见!
Nat Rev Endocrinol. 2017 Feb;13(2):72-74. doi: 10.1038/nrendo.2016.218. Epub 2017 Jan 4.
4
Advances in Lipidomics for Cancer Biomarkers Discovery.用于发现癌症生物标志物的脂质组学进展。
Int J Mol Sci. 2016 Nov 28;17(12):1992. doi: 10.3390/ijms17121992.
5
Temporal Trends and Future Prediction of Breast Cancer Incidence Across Age Groups in Trivandrum, South India.印度南部特里凡得琅各年龄组乳腺癌发病率的时间趋势及未来预测
Asian Pac J Cancer Prev. 2016;17(6):2895-9.
6
Incidence and Mortality and Epidemiology of Breast Cancer in the World.全球乳腺癌的发病率、死亡率及流行病学
Asian Pac J Cancer Prev. 2016;17(S3):43-6. doi: 10.7314/apjcp.2016.17.s3.43.
7
Plasma lipidomics profiling identified lipid biomarkers in distinguishing early-stage breast cancer from benign lesions.血浆脂质组学分析鉴定出了区分早期乳腺癌与良性病变的脂质生物标志物。
Oncotarget. 2016 Jun 14;7(24):36622-36631. doi: 10.18632/oncotarget.9124.
8
Lipid biomarkers and long-term risk of cancer in the Women's Health Study.女性健康研究中的脂质生物标志物与癌症长期风险
Am J Clin Nutr. 2016 Jun;103(6):1397-407. doi: 10.3945/ajcn.115.124321. Epub 2016 Apr 20.
9
Breast cancer by age at diagnosis in the Gharbiah, Egypt, population-based registry compared to the United States Surveillance, Epidemiology, and End Results Program, 2004-2008.2004 - 2008年,埃及盖勒尤比省基于人群的登记处与美国监测、流行病学和最终结果计划中按诊断年龄划分的乳腺癌情况对比
Biomed Res Int. 2015;2015:381574. doi: 10.1155/2015/381574. Epub 2015 Oct 1.
10
The Valuable Role of Measuring Serum Lipid Profile in Cancer Progression.测量血清脂质谱在癌症进展中的重要作用。
Oman Med J. 2015 Sep;30(5):353-7. doi: 10.5001/omj.2015.71.