• 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

非亚洲女性与台湾女性三阴乳腺癌分子亚型的比较。

A comparison of the molecular subtypes of triple-negative breast cancer among non-Asian and Taiwanese women.

作者信息

Tseng Ling-Ming, Chiu Jen-Hwey, Liu Chun-Yu, Tsai Yi-Fang, Wang Yun-Lin, Yang Chu-Wen, Shyr Yi-Ming

机构信息

Comprehensive Breast Health Center & Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, No. 201, Sec. II, Shih-pei Road, Taipei, 112, Taiwan, ROC.

Department of Surgery, School of Medicine, National Yang-Ming University, Taipei, Taiwan, ROC.

出版信息

Breast Cancer Res Treat. 2017 Jun;163(2):241-254. doi: 10.1007/s10549-017-4195-7. Epub 2017 Mar 15.

DOI:10.1007/s10549-017-4195-7
PMID:28299476
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5410215/
Abstract

BACKGROUND

"Precision medicine" is a concept that by utilizing modern molecular diagnostics, an effective therapy is accurately applied for each cancer patient to improve their survival rates. The treatment of triple-negative breast cancer (TNBC) remains a challenging issue. The aim of this study was to compare the molecular subtypes of triple-negative breast cancer (TNBC) between Taiwanese and Non-Asian women.

METHODS

GEO Datasets for non-Asian (12 groups, n = 1450) and Taiwanese (3 groups, n = 465) breast cancer, including 617 TNBC, were acquired, normalized and cluster analyzed. Then, using TNBC cell lines of different subtypes, namely, MDA-MB-468 (basal-like1, BL1), MDA-MB-231 (mesenchymal stem like, MSL), BT-549 (mesenchymal, M), MDA-MB-453 (luminal androgen receptor, LAR), and DU4475 (immunomodulatory, IM), real-time PCR in triplicate for 47 genes signatures were performed to validate the specificity of these subtypes.

RESULTS

The results showed that the percentage of TNBC subtypes in non-Asian women, namely, BL1, BL2, IM, M, MSL, and LAR was 13.56, 8.91, 16.80, 20.45, 8.30, and 11.13%, respectively. When data from Taiwanese were normalized and clustered, five TNBC subtypes, namely, BL (8.94%), IM (13.82%), M (22.76%), MSL (30.89%), and LAR (23.58%), were classified. Real-time PCR validated the specificity of these subtypes. Besides, the presence of interaction between IM- and MSL-subtypes suggests the involvement of tumor microenvironment in TNBC subtype classification.

CONCLUSION

Our data suggested that there exist different presentations between non-Asian and Taiwanese TNBC subtypes, which provides important information when selection of therapeutic targets or designs for clinical trials for TNBC patients.

摘要

背景

“精准医学”是一种利用现代分子诊断技术,针对每位癌症患者精准应用有效治疗方法以提高其生存率的理念。三阴性乳腺癌(TNBC)的治疗仍然是一个具有挑战性的问题。本研究的目的是比较台湾女性和非亚洲女性三阴性乳腺癌(TNBC)的分子亚型。

方法

获取非亚洲(12组,n = 1450)和台湾(3组,n = 465)乳腺癌的GEO数据集,包括617例TNBC,进行标准化和聚类分析。然后,使用不同亚型的TNBC细胞系,即MDA-MB-468(基底样1型,BL1)、MDA-MB-231(间充质干细胞样,MSL)、BT-549(间充质型,M)、MDA-MB-453(腔面雄激素受体型,LAR)和DU4475(免疫调节型,IM),对47个基因特征进行一式三份的实时PCR检测,以验证这些亚型的特异性。

结果

结果显示,非亚洲女性中TNBC亚型的百分比,即BL1、BL2、IM、M、MSL和LAR分别为13.56%、8.91%、16.80%、20.45%、8.30%和11.13%。对台湾的数据进行标准化和聚类后,分类出五种TNBC亚型,即BL(8.94%)、IM(13.82%)、M(22.76%)、MSL(30.89%)和LAR(23.58%)。实时PCR验证了这些亚型的特异性。此外,IM亚型和MSL亚型之间存在相互作用,提示肿瘤微环境参与了TNBC亚型分类。

结论

我们的数据表明,非亚洲和台湾TNBC亚型存在不同表现,这为TNBC患者选择治疗靶点或设计临床试验提供了重要信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4947/5410215/2c5320c79cc1/10549_2017_4195_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4947/5410215/339a1053046a/10549_2017_4195_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4947/5410215/5d16789789b8/10549_2017_4195_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4947/5410215/111ee4f3db25/10549_2017_4195_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4947/5410215/c59203362f42/10549_2017_4195_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4947/5410215/2c5320c79cc1/10549_2017_4195_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4947/5410215/339a1053046a/10549_2017_4195_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4947/5410215/5d16789789b8/10549_2017_4195_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4947/5410215/111ee4f3db25/10549_2017_4195_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4947/5410215/c59203362f42/10549_2017_4195_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4947/5410215/2c5320c79cc1/10549_2017_4195_Fig5_HTML.jpg

相似文献

1
A comparison of the molecular subtypes of triple-negative breast cancer among non-Asian and Taiwanese women.非亚洲女性与台湾女性三阴乳腺癌分子亚型的比较。
Breast Cancer Res Treat. 2017 Jun;163(2):241-254. doi: 10.1007/s10549-017-4195-7. Epub 2017 Mar 15.
2
Rates of immune cell infiltration in patients with triple-negative breast cancer by molecular subtype.三阴性乳腺癌患者不同分子亚型的免疫细胞浸润率。
PLoS One. 2018 Oct 12;13(10):e0204513. doi: 10.1371/journal.pone.0204513. eCollection 2018.
3
Refinement of Triple-Negative Breast Cancer Molecular Subtypes: Implications for Neoadjuvant Chemotherapy Selection.三阴性乳腺癌分子亚型的细化:对新辅助化疗选择的影响
PLoS One. 2016 Jun 16;11(6):e0157368. doi: 10.1371/journal.pone.0157368. eCollection 2016.
4
Identification of a minimum number of genes to predict triple-negative breast cancer subgroups from gene expression profiles.从基因表达谱中鉴定预测三阴性乳腺癌亚群所需的最小基因数。
Hum Genomics. 2022 Dec 20;16(1):70. doi: 10.1186/s40246-022-00436-6.
5
A triple-negative breast cancer surrogate subtype classification that correlates with gene expression subtypes.三阴性乳腺癌替代亚型分类与基因表达亚型相关。
Breast Cancer Res Treat. 2022 Feb;191(3):599-610. doi: 10.1007/s10549-021-06437-8. Epub 2022 Jan 12.
6
Molecular stratification within triple-negative breast cancer subtypes.三阴性乳腺癌亚型内的分子分层。
Sci Rep. 2019 Dec 13;9(1):19107. doi: 10.1038/s41598-019-55710-w.
7
Unravelling triple-negative breast cancer molecular heterogeneity using an integrative multiomic analysis.运用整合多组学分析方法揭示三阴性乳腺癌分子异质性
Ann Oncol. 2018 Apr 1;29(4):895-902. doi: 10.1093/annonc/mdy024.
8
Targeting triple-negative breast cancer: A clinical perspective.靶向三阴性乳腺癌:临床视角。
Oncol Res. 2023 May 24;31(3):221-238. doi: 10.32604/or.2023.028525. eCollection 2023.
9
Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies.鉴定人类三阴性乳腺癌亚型和临床前模型以选择靶向治疗药物。
J Clin Invest. 2011 Jul;121(7):2750-67. doi: 10.1172/JCI45014.
10
Cisplatin-resistant triple-negative breast cancer subtypes: multiple mechanisms of resistance.顺铂耐药型三阴性乳腺癌亚型:多种耐药机制。
BMC Cancer. 2019 Nov 4;19(1):1039. doi: 10.1186/s12885-019-6278-9.

引用本文的文献

1
Neoadjuvant chemotherapy response in androgen receptor-positive triple-negative breast cancer: potential predictive biomarkers and genetic alterations.雄激素受体阳性三阴性乳腺癌的新辅助化疗反应:潜在的预测生物标志物和基因改变
Breast Cancer Res. 2025 Mar 20;27(1):41. doi: 10.1186/s13058-025-01994-y.
2
Genetic Alterations in HER2-Positive and Equivocal Breast Cancer by Immunohistochemistry.免疫组化检测HER2阳性及不确定乳腺癌中的基因改变
Breast Cancer (Dove Med Press). 2025 Mar 12;17:253-263. doi: 10.2147/BCTT.S507189. eCollection 2025.
3
The Downregulation of CRIF1 Exerts Antitumor Effects Partially via TP53-Induced Glycolysis and Apoptosis Regulator Induction in BT549 Breast Cancer Cells.

本文引用的文献

1
Expression and Clinical Significance of Androgen Receptor in Triple-Negative Breast Cancer.雄激素受体在三阴性乳腺癌中的表达及临床意义
Cancers (Basel). 2017 Jan 6;9(1):4. doi: 10.3390/cancers9010004.
2
CCL22-specific T Cells: Modulating the immunosuppressive tumor microenvironment.CCL22特异性T细胞:调节免疫抑制性肿瘤微环境。
Oncoimmunology. 2016 Sep 30;5(11):e1238541. doi: 10.1080/2162402X.2016.1238541. eCollection 2016.
3
Androgen Receptor: A Complex Therapeutic Target for Breast Cancer.雄激素受体:乳腺癌的一个复杂治疗靶点。
CRIF1的下调部分通过TP53诱导的糖酵解和凋亡调节因子的诱导在BT549乳腺癌细胞中发挥抗肿瘤作用。
Cancers (Basel). 2024 Dec 5;16(23):4081. doi: 10.3390/cancers16234081.
4
Racial/Ethnic Disparities in Pathologic Complete Response and Overall Survival in Patients With Triple-Negative Breast Cancer Treated With Neoadjuvant Chemotherapy.种族/民族差异与三阴性乳腺癌新辅助化疗患者病理完全缓解和总生存的关系。
J Clin Oncol. 2024 May 10;42(14):1635-1645. doi: 10.1200/JCO.23.01199. Epub 2024 Feb 23.
5
The Breast Cancer Single-Cell Atlas: Defining cellular heterogeneity within model cell lines and primary tumors to inform disease subtype, stemness, and treatment options.乳腺癌单细胞图谱:定义模型细胞系和原发肿瘤中的细胞异质性,以提示疾病亚型、干性和治疗选择。
Cell Oncol (Dordr). 2023 Jun;46(3):603-628. doi: 10.1007/s13402-022-00765-7. Epub 2023 Jan 4.
6
A Machine Learning Model to Predict the Triple Negative Breast Cancer Immune Subtype.一种用于预测三阴性乳腺癌免疫亚型的机器学习模型。
Front Immunol. 2021 Sep 17;12:749459. doi: 10.3389/fimmu.2021.749459. eCollection 2021.
7
Tumor Microenvironment: Key Players in Triple Negative Breast Cancer Immunomodulation.肿瘤微环境:三阴性乳腺癌免疫调节中的关键因素
Cancers (Basel). 2021 Jul 4;13(13):3357. doi: 10.3390/cancers13133357.
8
Interleukin 17A promotes cell migration, enhances anoikis resistance, and creates a microenvironment suitable for triple negative breast cancer tumor metastasis.白细胞介素 17A 促进细胞迁移,增强抗失巢凋亡能力,并为三阴性乳腺癌肿瘤转移创造了适宜的微环境。
Cancer Immunol Immunother. 2021 Aug;70(8):2339-2351. doi: 10.1007/s00262-021-02867-x. Epub 2021 Jan 29.
9
A 23-gene prognostic classifier for prediction of recurrence and survival for Asian breast cancer patients.用于预测亚洲乳腺癌患者复发和生存的 23 基因预后分类器。
Biosci Rep. 2020 Dec 23;40(12). doi: 10.1042/BSR20202794.
10
Practical classification of triple-negative breast cancer: intratumoral heterogeneity, mechanisms of drug resistance, and novel therapies.三阴性乳腺癌的实用分类:瘤内异质性、耐药机制及新疗法
NPJ Breast Cancer. 2020 Oct 16;6:54. doi: 10.1038/s41523-020-00197-2. eCollection 2020.
Cancers (Basel). 2016 Dec 2;8(12):108. doi: 10.3390/cancers8120108.
4
Recapitulating the human tumor microenvironment: Colon tumor-derived extracellular matrix promotes angiogenesis and tumor cell growth.重现人类肿瘤微环境:结肠肿瘤来源的细胞外基质促进血管生成和肿瘤细胞生长。
Biomaterials. 2017 Feb;116:118-129. doi: 10.1016/j.biomaterials.2016.11.034. Epub 2016 Nov 24.
5
Periostin and tumor-stroma interactions in non-small cell lung cancer.骨膜蛋白与非小细胞肺癌中的肿瘤-基质相互作用
Oncol Lett. 2016 Nov;12(5):3804-3810. doi: 10.3892/ol.2016.5132. Epub 2016 Sep 14.
6
Molecular Classification of Triple-Negative Breast Cancer.三阴性乳腺癌的分子分类
J Breast Cancer. 2016 Sep;19(3):223-230. doi: 10.4048/jbc.2016.19.3.223. Epub 2016 Sep 23.
7
Androgen receptor signaling pathways as a target for breast cancer treatment.雄激素受体信号通路作为乳腺癌治疗的靶点。
Endocr Relat Cancer. 2016 Oct;23(10):R485-98. doi: 10.1530/ERC-16-0190. Epub 2016 Aug 15.
8
Refinement of Triple-Negative Breast Cancer Molecular Subtypes: Implications for Neoadjuvant Chemotherapy Selection.三阴性乳腺癌分子亚型的细化:对新辅助化疗选择的影响
PLoS One. 2016 Jun 16;11(6):e0157368. doi: 10.1371/journal.pone.0157368. eCollection 2016.
9
The Evolution of Triple-Negative Breast Cancer: From Biology to Novel Therapeutics.三阴性乳腺癌的演变:从生物学到新型疗法
Am Soc Clin Oncol Educ Book. 2016;35:34-42. doi: 10.1200/EDBK_159135.
10
Comprehensive transcriptome analysis identifies novel molecular subtypes and subtype-specific RNAs of triple-negative breast cancer.综合转录组分析确定了三阴性乳腺癌的新型分子亚型和亚型特异性RNA。
Breast Cancer Res. 2016 Mar 15;18(1):33. doi: 10.1186/s13058-016-0690-8.