Suppr超能文献

卵巢癌的蛋白质生物标志物:只见树木,不见森林。

Protein biomarkers of ovarian cancer: the forest and the trees.

机构信息

University of Pittsburgh Cancer Institute, Hillman Cancer Center, 5117 Centre Avenue 1.18, Pittsburgh, PA 15213, USA.

出版信息

Future Oncol. 2012 Jan;8(1):55-71. doi: 10.2217/fon.11.135.

Abstract

The goal of effective population-based screening for ovarian cancer remains elusive despite intense efforts aimed at improving upon biomarker and imaging modalities. While dozens of potential serum biomarkers for ovarian cancer have been identified in recent years, none have yet overcome the limitations that have hindered the clinical use of CA-125. Avenues of opportunity in biomarker development are emerging as investigators are beginning to appreciate the significance of remote, as well as local or regional, sources of biomarkers in the construction of diagnostic panels, as well as the importance of evaluating biomarkers in prediagnostic settings. As the list of candidate biomarkers of ovarian cancer continues to grow, refinements in the methods through which specific proteins are selected for further development as components of diagnostic panels are desperately sought. Such refinements must take into account both the bioinformatic and biological significance of each candidate. Approaches incorporating these considerations may potentially overcome the challenges to early detection posed by the histological heterogeneity of ovarian cancer. Here, we review the recent progress achieved in efforts to develop diagnostic biomarker panels for ovarian cancer and discuss the challenges that remain.

摘要

尽管人们为改善生物标志物和成像方式做出了巨大努力,但针对卵巢癌的有效基于人群的筛查目标仍然难以实现。虽然近年来已经确定了数十种潜在的卵巢癌血清生物标志物,但没有一种能够克服阻碍 CA-125 临床应用的局限性。随着研究人员开始认识到远程以及局部或区域性生物标志物来源在构建诊断面板中的重要性,以及在诊断前环境中评估生物标志物的重要性,生物标志物开发的机会正在出现。随着卵巢癌候选生物标志物的清单不断增加,人们迫切需要改进选择特定蛋白质进一步开发为诊断面板组件的方法,以提高其特异性。这种改进必须考虑每个候选物的生物信息学和生物学意义。结合这些考虑因素的方法可能会克服卵巢癌组织学异质性对早期检测带来的挑战。在这里,我们回顾了在开发卵巢癌诊断生物标志物面板方面取得的最新进展,并讨论了仍然存在的挑战。

相似文献

1
Protein biomarkers of ovarian cancer: the forest and the trees.
Future Oncol. 2012 Jan;8(1):55-71. doi: 10.2217/fon.11.135.
3
Ovarian Cancer Biomarkers: Moving Forward in Early Detection.
Adv Exp Med Biol. 2020;1219:355-363. doi: 10.1007/978-3-030-34025-4_18.
4
Advancements in protein glycosylation biomarkers for ovarian cancer through mass spectrometry-based approaches.
Expert Rev Mol Diagn. 2024 Apr;24(4):249-258. doi: 10.1080/14737159.2023.2297933. Epub 2023 Dec 25.
5
Early Detection of Ovarian Cancer.
Hematol Oncol Clin North Am. 2018 Dec;32(6):903-914. doi: 10.1016/j.hoc.2018.07.003. Epub 2018 Sep 28.
6
Discovery and application of protein biomarkers for ovarian cancer.
Curr Opin Obstet Gynecol. 2008 Feb;20(1):9-13. doi: 10.1097/GCO.0b013e3282f226a5.
7
A framework for evaluating biomarkers for early detection: validation of biomarker panels for ovarian cancer.
Cancer Prev Res (Phila). 2011 Mar;4(3):375-83. doi: 10.1158/1940-6207.CAPR-10-0193.
8
Quantitative Mass Spectrometry-Based Proteomics for Biomarker Development in Ovarian Cancer.
Molecules. 2021 May 3;26(9):2674. doi: 10.3390/molecules26092674.
9
Peritoneal biomarkers in the early detection of ovarian cancer.
Minerva Ginecol. 2017 Feb;69(1):84-99. doi: 10.23736/S0026-4784.16.03943-5. Epub 2016 Jun 10.
10
Ovarian cancer extracellular vesicle biomarkers.
Clin Chim Acta. 2025 Jan 15;565:120011. doi: 10.1016/j.cca.2024.120011. Epub 2024 Oct 20.

引用本文的文献

4
Circulating Proteins as Diagnostic Markers in Gastric Cancer.
Int J Mol Sci. 2023 Nov 29;24(23):16931. doi: 10.3390/ijms242316931.
5
A Novel Predictive Multi-Marker Test for the Pre-Surgical Identification of Ovarian Cancer.
Cancers (Basel). 2023 Nov 2;15(21):5267. doi: 10.3390/cancers15215267.
9
Gold Nanoparticles Based Optical Biosensors for Cancer Biomarker Proteins: A Review of the Current Practices.
Front Bioeng Biotechnol. 2022 Apr 26;10:877193. doi: 10.3389/fbioe.2022.877193. eCollection 2022.
10
Biomarker-Based Models for Preoperative Assessment of Adnexal Mass: A Multicenter Validation Study.
Cancers (Basel). 2022 Mar 31;14(7):1780. doi: 10.3390/cancers14071780.

本文引用的文献

1
Identification of thrombin-like activity in ovarian cancer associated ascites and modulation of multiple cytokine networks.
Thromb Haemost. 2011 Oct;106(4):705-11. doi: 10.1160/TH11-05-0311. Epub 2011 Aug 11.
2
Comparison of candidate serologic markers for type I and type II ovarian cancer.
Gynecol Oncol. 2011 Sep;122(3):560-6. doi: 10.1016/j.ygyno.2011.05.039. Epub 2011 Jun 24.
3
Molecular pathogenesis and extraovarian origin of epithelial ovarian cancer--shifting the paradigm.
Hum Pathol. 2011 Jul;42(7):918-31. doi: 10.1016/j.humpath.2011.03.003.
5
A framework for evaluating biomarkers for early detection: validation of biomarker panels for ovarian cancer.
Cancer Prev Res (Phila). 2011 Mar;4(3):375-83. doi: 10.1158/1940-6207.CAPR-10-0193.
6
Ovarian cancer biomarker performance in prostate, lung, colorectal, and ovarian cancer screening trial specimens.
Cancer Prev Res (Phila). 2011 Mar;4(3):365-74. doi: 10.1158/1940-6207.CAPR-10-0195.
7
Cytokine disbalance in common human cancers.
Biochim Biophys Acta. 2011 Feb;1813(2):308-14. doi: 10.1016/j.bbamcr.2010.12.010. Epub 2010 Dec 15.
8
Proteomic biomarkers for overall and progression-free survival in ovarian cancer patients.
Proteomics Clin Appl. 2010 Dec;4(12):940-52. doi: 10.1002/prca.200900171.
9
ACR appropriateness criteria© ovarian cancer screening.
Ultrasound Q. 2010 Dec;26(4):219-23. doi: 10.1097/RUQ.0b013e3181fdd604.
10
Apolipoprotein A-I (apoA-I) and apoA-I mimetic peptides inhibit tumor development in a mouse model of ovarian cancer.
Proc Natl Acad Sci U S A. 2010 Nov 16;107(46):19997-20002. doi: 10.1073/pnas.1009010107. Epub 2010 Nov 1.

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