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J Natl Cancer Inst Monogr. 2011;2011(42):43-5. doi: 10.1093/jncimonographs/lgr003.
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Preservation of fine-needle aspiration specimens for future use in RNA-based molecular testing.保存细针吸取标本,以备将来进行基于 RNA 的分子检测。
Cancer Cytopathol. 2011 Apr 25;119(2):102-10. doi: 10.1002/cncy.20130. Epub 2011 Feb 1.
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Preanalytical aspects: a neglected issue.
Scand J Clin Lab Invest Suppl. 2010;242:63-5. doi: 10.3109/00365513.2010.493392.
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A gene expression signature identifies two prognostic subgroups of basal breast cancer.基因表达特征可识别基底型乳腺癌的两个预后亚组。
Breast Cancer Res Treat. 2011 Apr;126(2):407-20. doi: 10.1007/s10549-010-0897-9. Epub 2010 May 21.
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Prospective comparison of clinical and genomic multivariate predictors of response to neoadjuvant chemotherapy in breast cancer.前瞻性比较临床和基因组多变量预测因子对乳腺癌新辅助化疗的反应。
Clin Cancer Res. 2010 Jan 15;16(2):711-8. doi: 10.1158/1078-0432.CCR-09-2247. Epub 2010 Jan 12.
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Quality control in microarray assessment of gene expression in human airway epithelium.微阵列评估人呼吸道上皮细胞基因表达的质量控制。
BMC Genomics. 2009 Oct 24;10:493. doi: 10.1186/1471-2164-10-493.
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The GAB2 signaling scaffold promotes anchorage independence and drives a transcriptional response associated with metastatic progression of breast cancer.GAB2 信号支架促进了乳腺癌的锚定独立性,并驱动了与转移进展相关的转录反应。
Oncogene. 2009 Dec 17;28(50):4444-55. doi: 10.1038/onc.2009.296. Epub 2009 Oct 19.
9
Fine-needle aspiration for nucleic acid-ased molecular analyses in breast cancer.用于乳腺癌核酸分子分析的细针穿刺抽吸术
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Exonic expression profiling of breast cancer and benign lesions: a retrospective analysis.乳腺癌和良性病变的外显子表达谱分析:一项回顾性分析。
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从乳腺 X 线摄影检测到的乳腺癌的细针吸取细胞学标本中进行高通量分子分析。

High-throughput molecular analysis from leftover of fine needle aspiration cytology of mammographically detected breast cancer.

机构信息

Department of Biomedical Sciences and Human Oncology, University of Turin, Turin, Italy.

出版信息

Transl Oncol. 2012 Jun;5(3):180-9. doi: 10.1593/tlo.11343. Epub 2012 Jun 1.

DOI:10.1593/tlo.11343
PMID:22741037
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3384272/
Abstract

We investigated whether residual material from diagnostic smears of fine needle aspirations (FNAs) of mammographically detected breast lesions can be successfully used to extract RNA for reliable gene expression analysis. Twenty-eight patients underwent FNA of breast lesions under ultrasonographic guidance. After smearing slides for cytology, residual cells were rinsed with TRIzol to recover RNA. RNA yield ranged from 0.78 to 88.40 µg per sample. FNA leftovers from 23 nonpalpable breast cancers were selected for gene expression profiling using oligonucleotide microarrays. Clusters generated by global expression profiles partitioned samples in well-distinguished subgroups that overlapped with clusters obtained using "biologic scores" (cytohistologic variables) and differed from clusters based on "technical scores" (RNA/complementary RNA/microarray quality). Microarray profiling used to measure the grade of differentiation and estrogen receptor and ERBB2/HER2 status reflected the results obtained by histology and immunohistochemistry. Given that proliferative status in the FNA material is not always assessable, we designed and performed on FNA leftover a multiprobe genomic signature for proliferation genes that strongly correlated with the Ki67 index examined on histologic material. These findings show that cells residual to cytologic smears of FNA are suitable for obtaining high-quality RNA for high-throughput analysis even when taken from small nonpalpable breast lesions.

摘要

我们研究了从乳腺影像学检查发现的病变的细针穿刺抽吸术(FNA)的诊断涂片的残留材料是否可以成功地用于提取 RNA 进行可靠的基因表达分析。28 名患者在超声引导下进行了乳腺病变的 FNA。在细胞学涂片后,用 TRIzol 冲洗残留细胞以回收 RNA。每个样本的 RNA 产量范围从 0.78 到 88.40µg。选择 23 例不可触及乳腺癌的 FNA 残留物进行寡核苷酸微阵列的基因表达谱分析。使用全局表达谱生成的聚类将样本分为明显的亚组,这些亚组与使用“生物学评分”(细胞组织学变量)获得的聚类重叠,并与基于“技术评分”(RNA/互补 RNA/微阵列质量)的聚类不同。用于测量分化程度和雌激素受体和 ERBB2/HER2 状态的微阵列分析反映了组织学和免疫组织化学的结果。鉴于 FNA 材料中的增殖状态并非总是可评估的,我们设计并在 FNA 残留物上进行了用于增殖基因的多探针基因组特征分析,该分析与在组织学材料上检查的 Ki67 指数强烈相关。这些发现表明,即使从小的不可触及的乳腺病变中获得,细胞学涂片的残留细胞也适合用于获得高质量的 RNA 进行高通量分析。