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囊肿液中的铁相关化合物作为区分良性子宫内膜异位囊肿恶变的有用标志物。

Cyst fluid iron-related compounds as useful markers to distinguish malignant transformation from benign endometriotic cysts.

作者信息

Yoshimoto Chiharu, Iwabuchi Takuya, Shigetomi Hiroshi, Kobayashi Hiroshi

机构信息

Department of Obstetrics and Gynecology, Nara Medical University, Nara, Japan.

Department of Research and Development, Metallogenics Co., Ltd., Chiba, Japan.

出版信息

Cancer Biomark. 2015;15(4):493-9. doi: 10.3233/CBM-150484.


DOI:10.3233/CBM-150484
PMID:25835178
Abstract

OBJECTIVE: The purpose of this study was to investigate cyst fluid levels of total iron, heme iron and free iron in benign endometriotic cysts and endometriosis-associated ovarian cancer (EAOC) and to demonstrate the significance of these biomarkers in differential diagnosis between EAOC and endometriotic cysts. METHODS: Cyst fluid samples were obtained from eleven patients with EAOC and thirty-six women with benign endometriotic cysts at the time of surgery. RESULTS: The median (± SD) total iron levels for endometriotic cysts and EAOC cysts were 244.4 ± 204.9 mg/L and 14.2 ± 36.6 mg/L, respectively. EAOC patients had much lower levels of iron-related compounds compared with endometriotic cyst samples (p< 0.001). When the total iron results were analyzed using the receiver operating characteristics (ROC) curve method, the optimum diagnostic cut-off point was 64.8 mg/L, sensitivity was 90.9%, specificity was 100%, positive predictive value (PPV) was 100%, and negative predictive value (NPV) was 97.3%. Patient demographic characteristics such as tumor size, age at operation, parity and menopause were not correlated with cyst fluid iron levels. CONCLUSIONS: We conclude for the first time that iron-related compounds are important biomarkers that can predict malignant transformation with high sensitivity and specificity for women with endometriosis.

摘要

目的:本研究旨在调查良性子宫内膜异位囊肿及子宫内膜异位症相关卵巢癌(EAOC)中总铁、血红素铁和游离铁的囊液水平,并阐明这些生物标志物在EAOC与子宫内膜异位囊肿鉴别诊断中的意义。 方法:手术时从11例EAOC患者和36例患有良性子宫内膜异位囊肿的女性中获取囊液样本。 结果:子宫内膜异位囊肿和EAOC囊肿的总铁水平中位数(±标准差)分别为244.4±204.9mg/L和14.2±36.6mg/L。与子宫内膜异位囊肿样本相比,EAOC患者的铁相关化合物水平低得多(p<0.001)。当使用受试者工作特征(ROC)曲线法分析总铁结果时,最佳诊断切点为64.8mg/L,敏感性为90.9%,特异性为100%,阳性预测值(PPV)为100%,阴性预测值(NPV)为97.3%。患者的人口统计学特征,如肿瘤大小、手术年龄、产次和绝经情况,与囊液铁水平无关。 结论:我们首次得出结论,铁相关化合物是重要的生物标志物,对患有子宫内膜异位症的女性具有高敏感性和特异性,可预测恶性转化。

相似文献

[1]
Cyst fluid iron-related compounds as useful markers to distinguish malignant transformation from benign endometriotic cysts.

Cancer Biomark. 2015

[2]
Transverse Relaxation Rate of Cyst Fluid Can Predict Malignant Transformation of Ovarian Endometriosis.

Magn Reson Med Sci. 2017-4-10

[3]
RUNX3 is inactivated by promoter hypermethylation in malignant transformation of ovarian endometriosis.

Oncol Rep. 2014-10-3

[4]
Contents of endometriotic cysts, especially the high concentration of free iron, are a possible cause of carcinogenesis in the cysts through the iron-induced persistent oxidative stress.

Clin Cancer Res. 2008-1-1

[5]
Transmembrane estrogen receptor GPR30 is more frequently expressed in malignant than benign ovarian endometriotic cysts and correlates with MMP-9 expression.

Int J Gynecol Cancer. 2012-5

[6]
Cyst fluid hemoglobin species in endometriosis and its malignant transformation: The role of metallobiology.

Oncol Lett. 2016-5

[7]
Risk factors for endometriotic-cyst associated ovarian cancer: A case controlled study.

Taiwan J Obstet Gynecol. 2020-3

[8]
Comparative immunohistochemical studies of bcl-2 and p53 proteins in benign and malignant ovarian endometriotic cysts.

Cancer. 2002-6-1

[9]
[The values of serum human epididymis secretory protein 4 and CA(125) assay in the diagnosis of ovarian malignancy].

Zhonghua Fu Chan Ke Za Zhi. 2008-12

[10]
Longitudinal changes in magnetic resonance imaging of malignant and borderline tumors associated with ovarian endometriotic cyst comparing with endometriotic cysts without arising malignancy.

Eur J Radiol. 2018-6-13

引用本文的文献

[1]
Role of autophagy and ferroptosis in the development of endometriotic cysts (Review).

Int J Mol Med. 2024-9

[2]
MR Relaxometry for Discriminating Malignant Ovarian Cystic Tumors: A Prospective Multicenter Cohort Study.

Diagnostics (Basel). 2024-5-21

[3]
Molecular mechanism of autophagy and apoptosis in endometriosis: Current understanding and future research directions.

Reprod Med Biol. 2024-4-20

[4]
Endogenous Microbacteria Can Contribute to Ovarian Carcinogenesis by Reducing Iron Concentration in Cysts: A Pilot Study.

Microorganisms. 2024-3-7

[5]
New insights about endometriosis-associated ovarian cancer: pathogenesis, risk factors, prediction and diagnosis and treatment.

Front Oncol. 2024-2-7

[6]
The role of iron in the pathogenesis of endometriosis: a systematic review.

Hum Reprod Open. 2023-7-27

[7]
Clinicopathological characteristics, molecular features and novel diagnostic strategies for the detection of malignant transformation of endometriosis (Review).

Exp Ther Med. 2023-4-24

[8]
The Endometriotic Neoplasm Algorithm for Risk Assessment (e-NARA) Index Sheds Light on the Discrimination of Endometriosis-Associated Ovarian Cancer from Ovarian Endometrioma.

Biomedicines. 2022-10-24

[9]
The Comparison of Three Predictive Indexes to Discriminate Malignant Ovarian Tumors from Benign Ovarian Endometrioma: The Characteristics and Efficacy.

Diagnostics (Basel). 2022-5-12

[10]
Macrophages Protect Endometriotic Cells Against Oxidative Damage Through a Cross-Talk Mechanism.

Reprod Sci. 2022-8

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