• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

哪种细胞周期蛋白E可作为乳腺癌的预后标志物?一项涉及635例淋巴结阴性乳腺癌患者的回顾性研究结果。

Which cyclin E prevails as prognostic marker for breast cancer? Results from a retrospective study involving 635 lymph node-negative breast cancer patients.

作者信息

Sieuwerts Anieta M, Look Maxime P, Meijer-van Gelder Marion E, Timmermans Mieke, Trapman Anita M A C, Garcia Roberto Rodriguez, Arnold Miranda, Goedheer Anneke J W, de Weerd Vanja, Portengen Henk, Klijn Jan G M, Foekens John A

机构信息

Department of Medical Oncology, Erasmus MC, Rotterdam, The Netherlands.

出版信息

Clin Cancer Res. 2006 Jun 1;12(11 Pt 1):3319-28. doi: 10.1158/1078-0432.CCR-06-0225.

DOI:10.1158/1078-0432.CCR-06-0225
PMID:16740753
Abstract

PURPOSE

To evaluate the prognostic value of cyclin E with a quantitative method for lymph node-negative primary breast cancer patients.

PATIENTS AND METHODS

mRNA transcripts of full-length and splice variants of cyclin E1 (CCNE1) and cyclin E2 (CCNE2) were measured by real-time PCR in frozen tumor samples from 635 lymph node-negative breast cancer patients who had not received neoadjuvant or adjuvant systemic therapy.

RESULTS

None of the PCR assays designed for the specific splice variants of the cyclins gave additional prognosis-related information compared with the common assays able to detect all variants. In Cox multivariate analysis, corrected for the traditional prognostic factors, high levels of cyclin E were independently associated with a short distant metastasis-free survival [hazard ratio (HR), 3.40; P < 0.001 for CCNE1 and HR, 1.76; P < 0.001 for CCNE2, respectively]. After dichotomizing the tumors at the median level of 70% tumor cells, the multivariate analysis showed particularly strong results for CCNE1 in the group of 433 patients with stroma-enriched primary tumors (HR, 5.12; P < 0.001). In these tumors, the worst prognosis was found for patients with estrogen receptor-negative tumors expressing high CCNE1 (HR, 9.89; P < 0.001) and for patients with small (T1) tumors expressing high CCNE1 (HR, 8.47; P < 0.001).

CONCLUSION

Our study shows that both CCNE1 and CCNE2 qualify as independent prognostic markers for lymph node-negative breast cancer patients, and that CCNE1 may provide additional information for specific subgroups of patients.

摘要

目的

采用定量方法评估细胞周期蛋白E对淋巴结阴性原发性乳腺癌患者的预后价值。

患者与方法

通过实时聚合酶链反应(PCR)检测635例未接受新辅助或辅助全身治疗的淋巴结阴性乳腺癌患者冷冻肿瘤样本中细胞周期蛋白E1(CCNE1)和细胞周期蛋白E2(CCNE2)的全长及剪接变体的信使核糖核酸转录本。

结果

与能够检测所有变体的常规检测方法相比,针对细胞周期蛋白特定剪接变体设计的PCR检测均未提供额外的预后相关信息。在经传统预后因素校正的Cox多变量分析中,细胞周期蛋白E水平高与远处无转移生存期短独立相关[风险比(HR),3.40;CCNE1的P<0.001,CCNE2的HR为1.76,P<0.001]。在将肿瘤细胞中位数水平设定为70%进行二分法分析后,多变量分析显示,在433例富含基质原发性肿瘤患者组中,CCNE1的结果尤为显著(HR,5.12;P<0.001)。在这些肿瘤中,雌激素受体阴性且CCNE1表达高的患者(HR,9.89;P<0.001)以及肿瘤较小(T1)且CCNE1表达高的患者(HR,8.47;P<0.001)预后最差。

结论

我们的研究表明,CCNE1和CCNE2均有资格作为淋巴结阴性乳腺癌患者的独立预后标志物,且CCNE1可能为特定亚组患者提供额外信息。

相似文献

1
Which cyclin E prevails as prognostic marker for breast cancer? Results from a retrospective study involving 635 lymph node-negative breast cancer patients.哪种细胞周期蛋白E可作为乳腺癌的预后标志物?一项涉及635例淋巴结阴性乳腺癌患者的回顾性研究结果。
Clin Cancer Res. 2006 Jun 1;12(11 Pt 1):3319-28. doi: 10.1158/1078-0432.CCR-06-0225.
2
Increased expression of urokinase-type plasminogen activator mRNA determines adverse prognosis in ErbB2-positive primary breast cancer.尿激酶型纤溶酶原激活剂mRNA表达增加决定了ErbB2阳性原发性乳腺癌的不良预后。
J Clin Oncol. 2006 Sep 10;24(26):4245-53. doi: 10.1200/JCO.2005.05.1912.
3
The prognostic value of polymorphonuclear leukocyte elastase in patients with primary breast cancer.多形核白细胞弹性蛋白酶在原发性乳腺癌患者中的预后价值。
Cancer Res. 2003 Jan 15;63(2):337-41.
4
Mammaglobin is associated with low-grade, steroid receptor-positive breast tumors from postmenopausal patients, and has independent prognostic value for relapse-free survival time.
J Clin Oncol. 2004 Feb 15;22(4):691-8. doi: 10.1200/JCO.2004.01.072.
5
Identification of a three-gene expression signature of poor-prognosis breast carcinoma.一种预后不良乳腺癌的三基因表达特征的鉴定。
Mol Cancer. 2004 Dec 20;3(1):37. doi: 10.1186/1476-4598-3-37.
6
Gene expression of estrogen receptor, progesterone receptor and microtubule-associated protein Tau in high-risk early breast cancer: a quest for molecular predictors of treatment benefit in the context of a Hellenic Cooperative Oncology Group trial.高危早期乳腺癌中雌激素受体、孕激素受体和微管相关蛋白Tau的基因表达:在希腊合作肿瘤学组试验背景下寻找治疗获益的分子预测指标
Breast Cancer Res Treat. 2009 Jul;116(1):131-43. doi: 10.1007/s10549-008-0144-9. Epub 2008 Jul 31.
7
Molecular and biochemical testing in stage III melanoma: multimarker reverse transcriptase-polymerase chain reaction assay of lymph fluid after lymph node dissection and preoperative serum lactate dehydrogenase level.III期黑色素瘤的分子和生化检测:淋巴结清扫术后淋巴液的多标志物逆转录聚合酶链反应检测及术前血清乳酸脱氢酶水平
Br J Dermatol. 2008 Sep;159(3):597-605. doi: 10.1111/j.1365-2133.2008.08710.x. Epub 2008 Jul 4.
8
Cyclin E and survival in patients with breast cancer.细胞周期蛋白E与乳腺癌患者的生存率
N Engl J Med. 2002 Nov 14;347(20):1566-75. doi: 10.1056/NEJMoa021153.
9
DNA hypermethylation of PITX2 is a marker of poor prognosis in untreated lymph node-negative hormone receptor-positive breast cancer patients.PITX2的DNA高甲基化是未经治疗的淋巴结阴性激素受体阳性乳腺癌患者预后不良的一个标志物。
Breast Cancer Res Treat. 2008 Oct;111(3):429-37. doi: 10.1007/s10549-007-9800-8. Epub 2007 Oct 28.
10
Expression of cyclins E, A, and B, and prognosis in lymph node-negative breast cancer.细胞周期蛋白E、A和B的表达与淋巴结阴性乳腺癌的预后
J Pathol. 2003 Apr;199(4):424-31. doi: 10.1002/path.1322.

引用本文的文献

1
Repurposing propofol for breast cancer therapy through promoting apoptosis and arresting cell cycle.通过促进细胞凋亡和阻止细胞周期来将丙泊酚重新用于乳腺癌治疗。
Oncol Rep. 2024 Nov;52(5). doi: 10.3892/or.2024.8814. Epub 2024 Oct 4.
2
Identification of Novel Diagnostic and Prognostic Gene Signature Biomarkers for Breast Cancer Using Artificial Intelligence and Machine Learning Assisted Transcriptomics Analysis.利用人工智能和机器学习辅助转录组学分析鉴定乳腺癌新的诊断和预后基因特征生物标志物
Cancers (Basel). 2023 Jun 18;15(12):3237. doi: 10.3390/cancers15123237.
3
Cyclin genes as potential novel prognostic biomarkers and therapeutic targets in breast cancer.
细胞周期蛋白基因作为乳腺癌潜在的新型预后生物标志物和治疗靶点。
Oncol Lett. 2022 Sep 5;24(4):374. doi: 10.3892/ol.2022.13494. eCollection 2022 Oct.
4
Identification of Candidate Genes in Breast Cancer Induced by Estrogen Plus Progestogens Using Bioinformatic Analysis.基于生物信息学分析鉴定雌孕激素诱导乳腺癌的候选基因
Int J Mol Sci. 2022 Oct 6;23(19):11892. doi: 10.3390/ijms231911892.
5
Circulating Exosomal microRNAs as Predictive Biomarkers of Neoadjuvant Chemotherapy Response in Breast Cancer.循环外泌体 microRNAs 作为乳腺癌新辅助化疗反应的预测性生物标志物。
Curr Oncol. 2022 Jan 28;29(2):613-630. doi: 10.3390/curroncol29020055.
6
Oncogenic and Tumor Suppressive Components of the Cell Cycle in Breast Cancer Progression and Prognosis.细胞周期的致癌和抑癌成分在乳腺癌进展及预后中的作用
Pharmaceutics. 2021 Apr 17;13(4):569. doi: 10.3390/pharmaceutics13040569.
7
Long Non-coding RNA SENP3-EIF4A1 Functions as a Sponge of miR-195-5p to Drive Triple-Negative Breast Cancer Progress by Overexpressing CCNE1.长链非编码RNA SENP3-EIF4A1作为miR-195-5p的海绵,通过过度表达CCNE1来驱动三阴性乳腺癌进展。
Front Cell Dev Biol. 2021 Mar 15;9:647527. doi: 10.3389/fcell.2021.647527. eCollection 2021.
8
Antibiotic tigecycline inhibits cell proliferation, migration and invasion via down-regulating CCNE2 in pancreatic ductal adenocarcinoma.抗生素替加环素通过下调胰腺导管腺癌中的 CCNE2 抑制细胞增殖、迁移和侵袭。
J Cell Mol Med. 2020 Apr;24(7):4245-4260. doi: 10.1111/jcmm.15086. Epub 2020 Mar 6.
9
miR-3687 Overexpression Promotes Bladder Cancer Cell Growth by Inhibiting the Negative Effect of FOXP1 on Cyclin E2 Transcription.miR-3687 通过抑制 FOXP1 对细胞周期蛋白 E2 转录的负性作用促进膀胱癌细胞生长。
Mol Ther. 2019 May 8;27(5):1028-1038. doi: 10.1016/j.ymthe.2019.03.006. Epub 2019 Mar 15.
10
Prognostic Values of Amplification and Overexpression in Cancer Patients: A Systematic Review and Meta-analysis.癌症患者中扩增和过表达的预后价值:一项系统评价和荟萃分析。
J Cancer. 2018 Jun 14;9(13):2397-2407. doi: 10.7150/jca.24179. eCollection 2018.