Suppr超能文献

蛋白质组学与卵巢癌:将蛋白质组学信息融入临床护理。

Proteomics and ovarian cancer: integrating proteomics information into clinical care.

机构信息

Molecular Signaling Section, Medical Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892-1906, USA.

出版信息

J Proteomics. 2010 Sep 10;73(10):1864-72. doi: 10.1016/j.jprot.2010.05.013. Epub 2010 Jun 1.

Abstract

The power of proteomics allows unparalleled opportunity to query the molecular mechanisms of a malignant cell and the tumor microenvironment in patients with ovarian cancer and other solid tumors. This information has given us insight into the perturbations of signaling pathways within tumor cells and has aided the discovery of new drug targets for the tumor and possible prognostic indicators of outcome and disease response to therapy. Proteomics analysis of serum and ascites has also given us sources with which to discover possible early markers for the presence of new disease and for the progression of established cancer throughout the course of treatment. Unfortunately, this wealth of information has yielded little to date in changing the clinical care of these patients from a diagnostic, prognostic, or treatment perspective. The rational examination and translation of proteomics data in the context of past clinical trials and the design of future clinical trials must occur before we can march forward into the future of personalized medicine.

摘要

蛋白质组学的强大功能为我们提供了前所未有的机会,使我们能够在卵巢癌和其他实体瘤患者中查询恶性细胞和肿瘤微环境的分子机制。这些信息使我们深入了解肿瘤细胞内信号通路的改变,并有助于发现肿瘤的新药物靶点以及可能的预后指标,以预测治疗效果和疾病反应。对血清和腹水的蛋白质组学分析也为我们提供了发现新疾病早期标志物和治疗过程中确定癌症进展的可能来源。不幸的是,迄今为止,这些丰富的信息在改变这些患者的临床治疗方面(从诊断、预后或治疗的角度来看)收效甚微。在我们迈向个性化医学的未来之前,必须在过去临床试验的背景下对蛋白质组学数据进行合理的检查和转化,并设计未来的临床试验。

相似文献

1
Proteomics and ovarian cancer: integrating proteomics information into clinical care.
J Proteomics. 2010 Sep 10;73(10):1864-72. doi: 10.1016/j.jprot.2010.05.013. Epub 2010 Jun 1.
2
Proteomics as a guiding tool for more effective personalized therapy.
Ann Oncol. 2010 Oct;21 Suppl 7(Suppl 7):vii205-10. doi: 10.1093/annonc/mdq375.
3
Ovarian cancer in the proteomics era: diagnosis, prognosis, and therapeutics targets.
Int J Gynecol Cancer. 2005 Nov-Dec;15 Suppl 3:266-73. doi: 10.1111/j.1525-1438.2005.00434.x.
4
Proteomics and biomarkers in clinical trials for drug development.
J Proteomics. 2011 Nov 18;74(12):2632-41. doi: 10.1016/j.jprot.2011.04.023. Epub 2011 May 4.
5
Applying proteomics in clinical trials: assessing the potential and practical limitations in ovarian cancer.
Am J Pharmacogenomics. 2005;5(3):141-8. doi: 10.2165/00129785-200505030-00001.
6
Clinical application of proteomics in ovarian cancer prevention and treatment.
Mol Diagn Ther. 2009;13(5):297-311. doi: 10.1007/BF03256335.
7
Mass Spectrometry-Based Proteomics of Epithelial Ovarian Cancers: A Clinical Perspective.
Mol Cell Proteomics. 2023 Jul;22(7):100578. doi: 10.1016/j.mcpro.2023.100578. Epub 2023 May 19.
8
Ovarian cancer: can proteomics give new insights for therapy and diagnosis?
Int J Mol Sci. 2013 Apr 15;14(4):8271-90. doi: 10.3390/ijms14048271.
9
Ascites modulates cancer cell behavior, contributing to tumor heterogeneity in ovarian cancer.
Cancer Sci. 2016 Sep;107(9):1173-8. doi: 10.1111/cas.12987. Epub 2016 Aug 16.
10
Biomarker discovery in ovarian cancer.
Womens Health (Lond). 2008 Jan;4:27-40. doi: 10.2217/17455057.4.1.27.

引用本文的文献

2
Mass spectrometry-based proteomics techniques and their application in ovarian cancer research.
J Ovarian Res. 2018 Oct 1;11(1):88. doi: 10.1186/s13048-018-0460-6.
4
Advances in the proteomic discovery of novel therapeutic targets in cancer.
Drug Des Devel Ther. 2013 Oct 24;7:1259-71. doi: 10.2147/DDDT.S52216. eCollection 2013.
5
Autoantibody biomarkers identified by proteomics methods distinguish ovarian cancer from non-ovarian cancer with various CA-125 levels.
J Cancer Res Clin Oncol. 2013 Oct;139(10):1757-70. doi: 10.1007/s00432-013-1501-6. Epub 2013 Sep 3.
6
Ovarian cancer: can proteomics give new insights for therapy and diagnosis?
Int J Mol Sci. 2013 Apr 15;14(4):8271-90. doi: 10.3390/ijms14048271.
7
Relevant phosphoproteomic and mass spectrometry: approaches useful in clinical research.
Clin Transl Med. 2012 Mar 29;1(1):2. doi: 10.1186/2001-1326-1-2.
9
Potential markers for detection and monitoring of ovarian cancer.
J Oncol. 2011;2011:475983. doi: 10.1155/2011/475983. Epub 2011 Apr 11.

本文引用的文献

1
Integration of molecular profiling into the lung cancer clinic.
Clin Cancer Res. 2009 Sep 1;15(17):5317-22. doi: 10.1158/1078-0432.CCR-09-0913. Epub 2009 Aug 25.
2
Beyond CA125: the coming of age of ovarian cancer biomarkers. Are we there yet?
Biomark Med. 2009 Jun 1;3(3):275-288. doi: 10.2217/bmm.09.21.
3
Peptide screening of cerebrospinal fluid in patients with glioblastoma multiforme.
Eur J Surg Oncol. 2010 Feb;36(2):201-7. doi: 10.1016/j.ejso.2009.07.010. Epub 2009 Aug 11.
5
Genomic profiling of breast tumours in relation to BRCA abnormalities and phenotypes.
Breast Cancer Res. 2009;11(4):R47. doi: 10.1186/bcr2334. Epub 2009 Jul 9.
6
Inhibition of poly(ADP-ribose) polymerase in tumors from BRCA mutation carriers.
N Engl J Med. 2009 Jul 9;361(2):123-34. doi: 10.1056/NEJMoa0900212. Epub 2009 Jun 24.
7
Genomic predictors of outcome and treatment response in breast cancer.
Mol Diagn Ther. 2009;13(2):73-90. doi: 10.1007/BF03256317.
8
Cancer statistics, 2009.
CA Cancer J Clin. 2009 Jul-Aug;59(4):225-49. doi: 10.3322/caac.20006. Epub 2009 May 27.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验