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血清生物标志物在卵巢癌检测中的当前临床应用。

Current clinical application of serum biomarkers to detect ovarian cancer.

作者信息

Nowak Marek, Janas Łukasz, Stachowiak Grzegorz, Stetkiewicz Tomasz, Wilczyński Jacek R

机构信息

Department of Gynecology and Gynecologic Oncology, Polish Mother's Memorial Hospital - Research Institute, Lodz, Poland.

出版信息

Prz Menopauzalny. 2015 Dec;14(4):254-9. doi: 10.5114/pm.2015.55887. Epub 2015 Nov 27.

Abstract

For the last decades, hundreds of potential serum biomarkers have been assessed in diagnosing of ovarian cancer including the wide spectrum of cytokines, growth factors, adhesion molecules, proteases, hormones, coagulation factors, acute phase reactants, and apoptosis factors but except CA125 none of them have been applied to everyday clinical practice. Nowadays, the growing number of evidence suggests that the classic marker CA125 should be accompanied by HE4 and in fact, Risk of Ovarian Malignancy Algorithm (ROMA) is becoming more and more widespread in clinical practice for the evaluation of adnexal masses. Early ovarian cancer is often asymptomatic, so the challenge still exists to develop serum markers suitable for early diagnosis and screening. Current knowledge strongly points to different mechanisms of pathogenesis, genetic disturbances and clinical course of major histological subtypes of ovarian cancer. Thus, future biomarker/multimarker panels should take into consideration the implications of different molecular patterns and biological behavior of various subtypes of ovarian cancer. Very promising are studies on miRNAs - small non-protein coding gene-regulatory RNA molecules functionally involved in the pathogenesis of cancers acting as oncogenes (oncomirs) or tumor suppressors. The studies devoted to ovarian cancer tissue miRNA profiling have shown that miRNAs could be useful in diagnosing and predicting the OC outcome. They also confirmed that OC is a highly heterogeneous disease, gathering four distinct histological tumor subtypes characterized not only by distinct origin, behavior and response to chemotherapy but also by different patterns of miRNA expression.

摘要

在过去几十年中,数百种潜在的血清生物标志物已被评估用于卵巢癌的诊断,包括广泛的细胞因子、生长因子、黏附分子、蛋白酶、激素、凝血因子、急性期反应物和凋亡因子,但除CA125外,它们均未应用于日常临床实践。如今,越来越多的证据表明,经典标志物CA125应与HE4联合使用,事实上,卵巢恶性肿瘤风险算法(ROMA)在临床实践中用于评估附件包块正变得越来越普遍。早期卵巢癌通常无症状,因此开发适用于早期诊断和筛查的血清标志物仍然面临挑战。目前的知识强烈指向卵巢癌主要组织学亚型的不同发病机制、基因紊乱和临床病程。因此,未来的生物标志物/多标志物组合应考虑到卵巢癌不同亚型的不同分子模式和生物学行为的影响。关于微小RNA(miRNA)的研究非常有前景——微小RNA是小的非蛋白质编码基因调控RNA分子,在癌症发病机制中发挥作用,充当癌基因(致癌miRNA)或肿瘤抑制因子。致力于卵巢癌组织miRNA谱分析的研究表明,miRNA可用于诊断和预测卵巢癌的预后。这些研究还证实,卵巢癌是一种高度异质性疾病,包含四种不同的组织学肿瘤亚型,不仅具有不同的起源、行为和对化疗的反应,而且具有不同的miRNA表达模式。

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本文引用的文献

1
Differential microRNA expression by Solexa sequencing in the sera of ovarian cancer patients.
Asian Pac J Cancer Prev. 2014;15(4):1739-43. doi: 10.7314/apjcp.2014.15.4.1739.
2
Advances in circulating microRNAs as diagnostic and prognostic markers for ovarian cancer.
Cancer Biol Med. 2013 Sep;10(3):123-30. doi: 10.7497/j.issn.2095-3941.2013.03.001.
3
Circulating biomarkers for detection of ovarian cancer and predicting cancer outcomes.
Br J Cancer. 2014 Feb 18;110(4):976-83. doi: 10.1038/bjc.2013.795. Epub 2013 Dec 24.
4
Clinical value of serum human epididymis protein 4 assay in the diagnosis of ovarian cancer: a meta-analysis.
Onco Targets Ther. 2013 Jul 23;6:957-66. doi: 10.2147/OTT.S45681. Print 2013.
5
Detection of microRNA as novel biomarkers of epithelial ovarian cancer from the serum of ovarian cancer patients.
Int J Gynecol Cancer. 2013 May;23(4):673-9. doi: 10.1097/IGC.0b013e31828c166d.
6
Plasma microRNAs as novel biomarkers for endometriosis and endometriosis-associated ovarian cancer.
Clin Cancer Res. 2013 Mar 1;19(5):1213-24. doi: 10.1158/1078-0432.CCR-12-2726. Epub 2013 Jan 29.
8
Human epididymis protein 4 for differential diagnosis between benign gynecologic disease and ovarian cancer: a systematic review and meta-analysis.
Eur J Obstet Gynecol Reprod Biol. 2013 Mar;167(1):81-5. doi: 10.1016/j.ejogrb.2012.10.036. Epub 2012 Dec 7.
10
Differential diagnosis of a pelvic mass: improved algorithms and novel biomarkers.
Int J Gynecol Cancer. 2012 May;22 Suppl 1(Suppl 1):S5-8. doi: 10.1097/IGC.0b013e318251c97d.

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