来自瑞典哥特堡大学的研究人员首次识别了12种与侵略性乳癌相关的基因。这项发现将有助于开发更可靠的疾病预测和治疗方法。
研究结果发布在Clinical Cancer Research杂志上，是基于97位乳癌患者得出的结论。在这些患者中，将近一般的患者在诊断出乳癌后的8年内已经死亡，而其他患者都存活超过8年。
乳癌由多种不同的肿瘤细胞构成的，从基因和生物特性上来说，这些细胞具有显著差异性。研究人员使用微阵列技术分析每个肿瘤中DNA和基因产物（RNA）的量，以探究遗传改变和临床特征之间的关系，比如肿瘤性状和对疗法的应答。
"我们已经成功识别了12个基因，这些基因的表达与侵略性乳癌有关。"肿瘤学系在读博士Toshima Parris表示，"相对于那些还存活的患者，这12个基因在那些已经死亡的患者中表达十分显著。"
另外，在侵略性乳癌中，3个基因的产物表现出更高的水平。而剩下的9个基因在侵略性乳癌中表达水平更低。
据Parris介绍，这些基因会影响细胞生长，运动，发育，从而影响肿瘤的发展。在未来或能通过含有肿瘤细胞的血液样本测试这些标记，确定是否患者能从特定的疗法或药物中获益。（生物谷Bioon.com）
【生物谷会议推荐：
2010细胞治疗研究进展与临床应用前沿研讨会 2010.09.23-2010.09.25
会议官方网址：www.Cell-therapies.net 】
生物谷推荐原始出处：
Clinical Cancer Research, DOI: 10.1158/1078-0432.CCR-10-0889
Expand+Clinical Implications of Gene Dosage and Gene Expression Patterns in Diploid Breast Carcinoma
Toshima Z. Parris1, Anna Danielsson1, Szilárd Nemes1, Anikó Kovács2, Ulla Delle1, Ghita Fallenius1, Elin M?llerstr?m1, Per Karlsson1, and Khalil Helou1
Purpose: Deregulation of key cellular pathways is fundamental for the survival and expansion of neoplastic cells. In cancer, regulation of gene transcription can be mediated in a variety of ways. The purpose of this study was to assess the impact of gene dosage on gene expression patterns and the effect of other mechanisms on transcriptional levels, and to associate these genomic changes with clinicopathologic parameters.
Experimental Design: We screened 97 invasive diploid breast tumors for DNA copy number alterations and changes in transcriptional levels using array comparative genomic hybridization and expression microarrays, respectively.
Results: The integrative analysis identified an increase in the overall number of genetic alterations during tumor progression and 15 specific genomic regions with aberrant DNA copy numbers in at least 25% of the patient population, i.e., 1q22, 1q22-q23.1, 1q25.3, 1q32.1, 1q32.1-q32.2, 8q21.2-q21.3, 8q22.3, 8q24.3, and 16p11.2 were recurrently gained, whereas 11q25, 16q21, 16q23.3, and 17p12 were frequently lost (P < 0.01). An examination of the expression patterns of genes mapping within the detected genetic aberrations identified 47 unique genes and 1 Unigene cluster significantly correlated between the DNA and relative mRNA levels. In addition, more malignant tumors with normal gene dosage levels displayed a recurrent overexpression of UBE2C, S100A8, and CBX2, and downregulation of LOC389033, STC2, DNALI1, SCUBE2, NME5, SUSD3, SERPINA11, AZGP1, and PIP.
Conclusions: Taken together, our findings suggest that the dysregulated genes identified here are critical for breast cancer initiation and progression, and could be used as novel therapeutic targets for drug development to complement classical clinicopathologic features. Clin Cancer Res; 16(15); 3860–74. ?2010 AACR.
