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本文引用的文献

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Characterization and clinical evaluation of CD10+ stroma cells in the breast cancer microenvironment.乳腺癌微环境中 CD10+基质细胞的特征和临床评估。
Clin Cancer Res. 2012 Feb 15;18(4):1004-14. doi: 10.1158/1078-0432.CCR-11-0383. Epub 2012 Jan 10.
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Prognostic value of a combined estrogen receptor, progesterone receptor, Ki-67, and human epidermal growth factor receptor 2 immunohistochemical score and comparison with the Genomic Health recurrence score in early breast cancer.早期乳腺癌中联合雌激素受体、孕激素受体、Ki-67 和人表皮生长因子受体 2 免疫组化评分的预后价值及其与基因组健康复发评分的比较。
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3
Advancing breast cancer therapy by translational research: highlights of the Improving Care and Knowledge through Translational Research (IMPAKT) breast cancer conference.通过转化研究推进乳腺癌治疗:“通过转化研究改善护理与知识”(IMPAKT)乳腺癌会议亮点
Ther Adv Med Oncol. 2011 Sep;3(5):223-7. doi: 10.1177/1758834011413003.
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Leukocyte composition of human breast cancer.人乳腺癌中的白细胞组成。
Proc Natl Acad Sci U S A. 2012 Feb 21;109(8):2796-801. doi: 10.1073/pnas.1104303108. Epub 2011 Aug 8.
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Systematic bias in genomic classification due to contaminating non-neoplastic tissue in breast tumor samples.由于乳腺肿瘤样本中存在污染的非肿瘤组织,基因组分类存在系统性偏差。
BMC Med Genomics. 2011 Jun 30;4:54. doi: 10.1186/1755-8794-4-54.
6
Randomized phase II neoadjuvant comparison between letrozole, anastrozole, and exemestane for postmenopausal women with estrogen receptor-rich stage 2 to 3 breast cancer: clinical and biomarker outcomes and predictive value of the baseline PAM50-based intrinsic subtype--ACOSOG Z1031.随机Ⅱ期新辅助对比来曲唑、阿那曲唑和依西美坦治疗绝经后雌激素受体阳性 2-3 期乳腺癌患者:临床和生物标志物结果以及基于 PAM50 的基线内在亚型的预测价值——ACOSOG Z1031。
J Clin Oncol. 2011 Jun 10;29(17):2342-9. doi: 10.1200/JCO.2010.31.6950. Epub 2011 May 9.
7
Tumor-infiltrating CD8+ lymphocytes predict clinical outcome in breast cancer.肿瘤浸润 CD8+ 淋巴细胞预测乳腺癌的临床结局。
J Clin Oncol. 2011 May 20;29(15):1949-55. doi: 10.1200/JCO.2010.30.5037. Epub 2011 Apr 11.
8
A signature of immune function genes associated with recurrence-free survival in breast cancer patients.与乳腺癌患者无复发生存相关的免疫功能基因标志物。
Breast Cancer Res Treat. 2012 Feb;131(3):871-80. doi: 10.1007/s10549-011-1470-x. Epub 2011 Apr 11.
9
Tumor escape and progression of HER-2/neu negative breast cancer under immune pressure.在免疫压力下 HER-2/neu 阴性乳腺癌的肿瘤逃逸和进展。
J Transl Med. 2011 Mar 31;9:35. doi: 10.1186/1479-5876-9-35.
10
Association between breast cancer subtypes and response to neoadjuvant anastrozole.乳腺癌亚型与新辅助阿那曲唑治疗反应的相关性。
Steroids. 2011 Jul;76(8):736-40. doi: 10.1016/j.steroids.2011.02.025. Epub 2011 Apr 5.

肿瘤免疫相互作用特征作为乳腺癌预后的生物标志物。

Signatures of tumor-immune interactions as biomarkers for breast cancer prognosis.

机构信息

Department of Microbiology & Immunology, Massey Cancer Center, Richmond, VA 23298, USA.

出版信息

Future Oncol. 2012 Jun;8(6):703-11. doi: 10.2217/fon.12.57.

DOI:10.2217/fon.12.57
PMID:22764768
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4634870/
Abstract

Breast cancer mortality is usually due to distant recurrence of cancer at an advanced stage of the disease rather than from primary cancer. Therefore, prediction of breast cancer recurrence at the time of diagnosis could lead to advances in personalized treatment of cancer patients in order to prevent risk of recurrence. Two prognostic biomarkers that are currently being used in clinical practice are a 70-gene MammaPrint signature and a 21-gene Oncotype DX panel. These assays generate relative risks of recurrence, but they do not provide a 'yes' or 'no' answer about recurrence in a given patient. These tests include genes that are involved in the cell cycle, invasion, metastasis and angiogenesis related to breast cancer. Emerging evidence suggests that a signature of genes involved in tumor-immune interactions may provide a more accurate prognostic tool. This paper reviews recent advances in the discovery of prognostic biomarkers for breast cancer patients.

摘要

乳腺癌的死亡率通常是由于疾病晚期的远处癌症复发,而不是原发性癌症。因此,在诊断时预测乳腺癌的复发可能会导致癌症患者的个性化治疗的进展,以预防复发的风险。目前在临床实践中使用的两种预后生物标志物是 70 基因 MammaPrint 签名和 21 基因 Oncotype DX 试剂盒。这些检测方法产生复发的相对风险,但它们不能为给定患者的复发提供“是”或“否”的答案。这些检测包括与乳腺癌相关的细胞周期、侵袭、转移和血管生成中涉及的基因。新出现的证据表明,参与肿瘤免疫相互作用的基因特征可能提供更准确的预后工具。本文综述了乳腺癌患者预后生物标志物发现的最新进展。