Suppr超能文献

人卵巢癌腹水患者中肽组学的潜在意义。

Potential Significance of Peptidome in Human Ovarian Cancer for Patients With Ascites.

出版信息

Int J Gynecol Cancer. 2018 Feb;28(2):355-362. doi: 10.1097/IGC.0000000000001166.

Abstract

OBJECTIVE

Ovarian cancer (OC) is one of the lethal gynecological malignancies. Most women affected by OC with malignant ascites will relapse. Peptidomics, as an emerging branch of proteomics, is more applied in screening of disease biomarkers, diagnosis, treatment, and monitoring. However, there is still little in-depth analysis about peptidomics study in OC with malignant ascites.

METHODS

A comparative peptidomic profiling of ascites fluid between 6 OC patients and 6 benign gynecological conditions using liquid chromatography-tandem mass spectrometry was analyzed. Afterward, the Ingenuity Pathway Analysis was performed to reveal the potential function of peptide-protein precursors.

RESULTS

A total of 4388 nonredundant peptides were identified, 104 of which were significantly differentially expressed in the ascites fluid of OC and benign gynecological conditions (>2-fold changes and P < 0.05): 52 peptides were upregulated while 52 peptides were downregulated. These peptides were imported into the Ingenuity Pathway Analysis and identified putative roles in OC.

CONCLUSIONS

We identified the peptidome patterns of patients with OC and benign gynecological conditions, and these differentially expressed that peptides might play an important role during occurrence and development of OC and will be in hope to explore bioactive peptides in the pathogenesis of OC.

摘要

目的

卵巢癌(OC)是一种致命的妇科恶性肿瘤。大多数患有恶性腹水的 OC 患者会复发。肽组学作为蛋白质组学的一个新兴分支,更适用于疾病生物标志物的筛选、诊断、治疗和监测。然而,关于 OC 伴恶性腹水的肽组学研究仍鲜有深入分析。

方法

采用液相色谱-串联质谱法对 6 例 OC 患者和 6 例良性妇科疾病患者的腹水进行比较肽组学分析。然后,采用 IPA 进行分析,以揭示肽-蛋白前体的潜在功能。

结果

共鉴定出 4388 个非冗余肽,其中 104 个在 OC 和良性妇科疾病患者的腹水中表达差异显著(>2 倍变化和 P < 0.05):52 个肽上调,52 个肽下调。这些肽被导入 IPA 并确定了它们在 OC 中的潜在作用。

结论

我们鉴定了 OC 患者和良性妇科疾病患者的肽组图谱,这些差异表达的肽可能在 OC 的发生和发展中起重要作用,并有望探索 OC 发病机制中的生物活性肽。

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