• 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

化疗诱导的人类乳腺癌肿瘤基因表达变化

Chemotherapy-induced tumor gene expression changes in human breast cancers.

作者信息

Lee Soo-Chin, Xu Xin, Lim Yi-Wan, Iau Philip, Sukri Norita, Lim Siew-Eng, Yap Hui Ling, Yeo Wee-Lee, Tan Patrick, Tan Sing-Huang, McLeod Howard, Goh Boon-Cher

机构信息

Departments of aHaematology-Oncology bSurgery, National University Hospital cNational Cancer Centre, Singapore dUniversity of North Carolina, Chapel Hill, USA.

出版信息

Pharmacogenet Genomics. 2009 Mar;19(3):181-92. doi: 10.1097/FPC.0b013e32831ebb5d.

DOI:10.1097/FPC.0b013e32831ebb5d
PMID:19352302
Abstract

OBJECTIVE

Studying chemotherapy-induced gene expression changes in vivo, which could provide insights into mechanisms of chemotherapy resistance.

METHODS

We analyzed and compared tumor gene expression changes of about 38 500 genes before and 3 weeks after doxorubicin or docetaxel treatment in 47 breast cancer patients.

RESULTS

By using the median expression level of each probe set as the parameter, less than 5% of genes were upregulated or downregulated by more than 50% after treatment with either drug. Doxorubicin and docetaxel concordantly induced 251 genes predominantly involved in protein and macromolecule metabolism (upregulated), and cell cycle and DNA/RNA metabolism (downregulated). Doxorubicin treatment resulted in coregulation of a cluster of 345 probe sets involved in focal adhesion, Jak-Stat signaling pathway, cell adhesion molecules, and natural killer cell mediated cytotoxicity, whereas docetaxel treatment resulted in coregulation of a cluster of 448 probe sets involved in focal adhesion, neurodegenerative disorders, sphingolipid metabolism, and cell cycle. Tumors that were intrinsically sensitive or resistant to doxorubicin or docetaxel evoked distinct gene expression changes in response to the drug; doxorubicin-resistant tumors upregulated genes that were enriched for ErbB signaling, ubiquitin-mediated proteolysis, TGF-beta signaling, and MAP-kinase signaling pathways, whereas docetaxel-resistant tumors upregulated genes that were enriched for focal adhesion and regulation of actin cytoskeleton. The drug-specific tumor gene expression changes were validated in independent in-vitro and in-vivo datasets.

CONCLUSION

Gene expression alterations of breast cancer were specific to doxorubicin and docetaxel treatment, and yielded mechanistic insights into resistance to either drug. Gene expression analysis provides more global perspectives on resistance pathways that could be exploited for therapeutic selection.

摘要

目的

研究化疗在体内诱导的基因表达变化,这可为化疗耐药机制提供见解。

方法

我们分析并比较了47例乳腺癌患者在多柔比星或多西他赛治疗前及治疗3周后约38500个基因的肿瘤基因表达变化。

结果

以每个探针集的中位表达水平为参数,两种药物治疗后,上调或下调超过50%的基因不到5%。多柔比星和多西他赛一致诱导251个主要参与蛋白质和大分子代谢(上调)以及细胞周期和DNA/RNA代谢(下调)的基因。多柔比星治疗导致一组345个参与粘着斑、Jak-Stat信号通路、细胞粘附分子和自然杀伤细胞介导的细胞毒性的探针集共同调控,而多西他赛治疗导致一组448个参与粘着斑、神经退行性疾病、鞘脂代谢和细胞周期的探针集共同调控。对多柔比星或多西他赛内在敏感或耐药的肿瘤对药物产生不同的基因表达变化;多柔比星耐药肿瘤上调富含表皮生长因子受体(ErbB)信号、泛素介导的蛋白水解、转化生长因子-β(TGF-β)信号和丝裂原活化蛋白激酶(MAP)信号通路的基因,而多西他赛耐药肿瘤上调富含粘着斑和肌动蛋白细胞骨架调节的基因。药物特异性的肿瘤基因表达变化在独立的体外和体内数据集中得到验证。

结论

乳腺癌的基因表达改变对多柔比星和多西他赛治疗具有特异性,并为对任一药物的耐药机制提供了见解。基因表达分析为可用于治疗选择的耐药途径提供了更全面的观点。

相似文献

1
Chemotherapy-induced tumor gene expression changes in human breast cancers.化疗诱导的人类乳腺癌肿瘤基因表达变化
Pharmacogenet Genomics. 2009 Mar;19(3):181-92. doi: 10.1097/FPC.0b013e32831ebb5d.
2
Possible involvement of CCT5, RGS3, and YKT6 genes up-regulated in p53-mutated tumors in resistance to docetaxel in human breast cancers.CCT5、RGS3和YKT6基因在p53突变肿瘤中上调,可能与人乳腺癌对多西他赛耐药有关。
Breast Cancer Res Treat. 2007 Mar;101(3):305-15. doi: 10.1007/s10549-006-9293-x. Epub 2006 Jul 5.
3
cDNA microarray analysis of isogenic paclitaxel- and doxorubicin-resistant breast tumor cell lines reveals distinct drug-specific genetic signatures of resistance.对同基因的耐紫杉醇和耐阿霉素乳腺癌细胞系进行cDNA微阵列分析,揭示了不同药物特异性的耐药基因特征。
Breast Cancer Res Treat. 2006 Mar;96(1):17-39. doi: 10.1007/s10549-005-9026-6. Epub 2005 Dec 2.
4
miRNA-34a is associated with docetaxel resistance in human breast cancer cells.miRNA-34a 与人类乳腺癌细胞对多西紫杉醇的耐药性有关。
Breast Cancer Res Treat. 2012 Jan;131(2):445-54. doi: 10.1007/s10549-011-1424-3. Epub 2011 Mar 12.
5
Influence of TP53 gene alterations and c-erbB-2 expression on the response to treatment with doxorubicin in locally advanced breast cancer.TP53基因改变和c-erbB-2表达对局部晚期乳腺癌多柔比星治疗反应的影响。
Cancer Res. 2001 Mar 15;61(6):2505-12.
6
Changes in gene expression associated with response to neoadjuvant chemotherapy in breast cancer.与乳腺癌新辅助化疗反应相关的基因表达变化。
J Clin Oncol. 2005 May 20;23(15):3331-42. doi: 10.1200/JCO.2005.09.077.
7
Genomic predictors of response to doxorubicin versus docetaxel in primary breast cancer.原发性乳腺癌中阿霉素与多西紫杉醇反应的基因组预测因子。
Breast Cancer Res Treat. 2011 Jul;128(1):127-36. doi: 10.1007/s10549-011-1461-y. Epub 2011 Apr 5.
8
Gene expression analysis of drug-resistant MCF-7 cells: implications for relation to extracellular matrix proteins.耐药 MCF-7 细胞的基因表达分析:与细胞外基质蛋白关系的意义。
Cancer Chemother Pharmacol. 2010 Feb;65(3):447-55. doi: 10.1007/s00280-009-1048-z. Epub 2009 Jun 19.
9
A novel group of genes regulates susceptibility to antineoplastic drugs in highly tumorigenic breast cancer cells.一组新的基因调节高致瘤性乳腺癌细胞对抗肿瘤药物的敏感性。
Mol Pharmacol. 2005 Dec;68(6):1747-56. doi: 10.1124/mol.105.016519. Epub 2005 Sep 8.
10
HER-2/neu as a predictive marker in a population of advanced breast cancer patients randomly treated either with single-agent doxorubicin or single-agent docetaxel.HER-2/neu作为预测标志物在一组晚期乳腺癌患者中的研究,这些患者被随机给予单药阿霉素或单药多西他赛治疗。
Breast Cancer Res Treat. 2004 Aug;86(3):197-206. doi: 10.1023/B:BREA.0000036783.88387.47.

引用本文的文献

1
Chemotherapy alters radiosensitivity and GRPR expression of prostate and breast cancer cells.化疗会改变前列腺癌细胞和乳腺癌细胞的放射敏感性及胃泌素释放肽受体(GRPR)表达。
EJNMMI Res. 2025 Aug 1;15(1):98. doi: 10.1186/s13550-025-01302-x.
2
Changes in ER, PR, HER2, and Their Association With Disease Outcome in Invasive Breast Carcinoma (IBC) Patients Post-Neo Adjuvant Chemotherapy (NAC) and Surgery.新辅助化疗(NAC)及手术治疗后浸润性乳腺癌(IBC)患者雌激素受体(ER)、孕激素受体(PR)、人表皮生长因子受体2(HER2)的变化及其与疾病转归的关系
Breast Cancer (Auckl). 2025 Jun 5;19:11782234251342463. doi: 10.1177/11782234251342463. eCollection 2025.
3
The Role of Sphingolipid Metabolism in Pregnancy-Associated Breast Cancer After Chemotherapy.
鞘脂代谢在化疗后妊娠相关乳腺癌中的作用
Biomedicines. 2024 Dec 13;12(12):2843. doi: 10.3390/biomedicines12122843.
4
Applying whole-genome and whole-exome sequencing in breast cancer: a review of the landscape.在乳腺癌中应用全基因组和全外显子组测序:综述全景。
Breast Cancer. 2024 Nov;31(6):999-1009. doi: 10.1007/s12282-024-01628-9. Epub 2024 Aug 27.
5
Identification of monotonically expressed long non-coding RNA signatures for breast cancer using variational autoencoders.基于变分自动编码器的乳腺癌单调表达长非编码 RNA 标志物的鉴定。
PLoS One. 2023 Aug 10;18(8):e0289971. doi: 10.1371/journal.pone.0289971. eCollection 2023.
6
A 3D, Compartmental Tumor-Stromal Microenvironment Model of Patient-Derived Bone Metastasis.患者来源骨转移的三维、分室肿瘤-基质微环境模型。
Int J Mol Sci. 2022 Dec 21;24(1):160. doi: 10.3390/ijms24010160.
7
An Epigenetic -Based Mechanism in Cancer.癌症的基于表观遗传学的机制
Int J Mol Sci. 2022 Nov 23;23(23):14610. doi: 10.3390/ijms232314610.
8
Pathway-extended gene expression signatures integrate novel biomarkers that improve predictions of patient responses to kinase inhibitors.通路扩展基因表达特征整合了新型生物标志物,可改善对患者激酶抑制剂反应的预测。
MedComm (2020). 2020 Dec 10;1(3):311-327. doi: 10.1002/mco2.46. eCollection 2020 Dec.
9
Effect of neoadjuvant therapy on breast cancer biomarker profile.新辅助治疗对乳腺癌生物标志物谱的影响。
BMC Cancer. 2020 Jul 18;20(1):675. doi: 10.1186/s12885-020-07179-4.
10
Molecular and Kinetic Analyses of Circulating Tumor Cells as Predictive Markers of Treatment Response in Locally Advanced Rectal Cancer Patients.循环肿瘤细胞的分子和动力学分析作为局部晚期直肠癌患者治疗反应的预测标志物。
Cells. 2019 Jun 26;8(7):641. doi: 10.3390/cells8070641.