...
首页> 外文期刊>Molecular & cellular proteomics: MCP >Combined Proteomics and Transcriptomics Identifies Carboxypeptidase B1 and Nuclear Factor kappa B (NF-kappa B) Associated Proteins as Putative Biomarkers of Metastasis in Low Grade Breast Cancer
【24h】

Combined Proteomics and Transcriptomics Identifies Carboxypeptidase B1 and Nuclear Factor kappa B (NF-kappa B) Associated Proteins as Putative Biomarkers of Metastasis in Low Grade Breast Cancer

机译:蛋白质组学和转录组学相结合鉴定了羧肽酶B1和核因子κB(NF-κB)相关蛋白作为低度乳腺癌转移的公认生物标志物

获取原文
获取原文并翻译 | 示例
           

摘要

Current prognostic factors are insufficient for precise risk-discrimination in breast cancer patients with low grade breast tumors, which, in disagreement with theoretical prognosis, occasionally form early lymph node metastasis. To identify markers for this group of patients, we employed iTRAQ-2DLC-MS/MS proteomics to 24 lymph node positive and 24 lymph node negative grade 1 luminal A primary breast tumors. Another group of 48 high-grade tumors (luminal B, triple negative, Her-2 subtypes) was also analyzed to investigate marker specificity for grade 1 luminal A tumors. From the total of 4405 proteins identified (FDR<5%), the top 65 differentially expressed together with 30 previously identified and control markers were analyzed also at transcript level. Increased levels of carboxypeptidase B1 (CPB1), PDZ and LIM domain protein 2 (PDLIM2), and ring finger protein 25 (RNF25) were associated specifically with lymph node positive grade 1 tumors, whereas stathmin 1 (STMN1) and thymosin beta 10 (TMSB10) associated with aggressive tumor phenotype also in high grade tumors at both protein and transcript level. For CPB1, these differences were also observed by immunohistochemical analysis on tissue microarrays. Upregulation of putative biomarkers in lymph node positive (versus negative) luminal A tumors was validated by gene expression analysis of an independent published data set (n = 343) for CPB1 (p = 0.00155), PDLIM2 (p = 0.02027) and RELA (p = 0.00015). Moreover, statistically significant connections with patient survival were identified in another public data set (n = 1678). Our findings indicate unique pro-metastatic mechanisms in grade 1 tumors that can include up-regulation of CPB1, activation of NF-kappa B pathway and changes in cell survival and cytoskeleton. These putative biomarkers have potential to identify the specific minor subpopulation of breast cancer patients with low grade tumors who are at higher than expected risk of recurrence and who would benefit from more intensive follow-up and may require more personalized therapy.
机译:当前的预后因素不足以对患有低度乳腺肿瘤的乳腺癌患者进行精确的风险识别,这与理论预后不一致,偶尔会形成早期淋巴结转移。为了确定该组患者的标志物,我们使用iTRAQ-2DLC-MS / MS蛋白质组学对24例淋巴结阳性和24例淋巴结阴性的1型腔A型原发性乳腺肿瘤进行了研究。还分析了另一组48个高级别肿瘤(B型腔,三阴性,Her-2亚型)以研究1级A型腔肿瘤的标志物特异性。在总共鉴定出的4405种蛋白质(FDR <5%)中,还以转录本水平分析了前65种差异表达的蛋白质以及30种先前鉴定和对照的标记。羧肽酶B1(CPB1),PDZ和LIM域蛋白2(PDLIM2)和无名指蛋白25(RNF25)水平升高与淋巴结阳性1级肿瘤特别相关,而athathin 1(STMN1)和胸腺素β10(TMSB10) )在蛋白质和转录本水平较高的肿瘤中也与侵袭性肿瘤表型相关。对于CPB1,还可以通过组织微阵列上的免疫组织化学分析观察到这些差异。通过对CPB1(p = 0.00155),PDLIM2(p = 0.02027)和RELA(p)的独立发表的数据集(n = 343)的基因表达分析,验证了淋巴结阳性(相对于阴性)腔A肿瘤中假定生物标志物的上调= 0.00015)。此外,在另一个公共数据集(n = 1678)中确定了与患者生存的统计显着联系。我们的发现表明,在1级肿瘤中独特的促转移机制可能包括CPB1的上调,NF-κB通路的活化以及细胞存活和细胞骨架的改变。这些推定的生物标记物有可能识别出患有低级肿瘤的乳腺癌患者的特定次要亚群,这些乳腺癌患者的复发风险高于预期,并且将从更深入的随访中受益并可能需要更多的个性化治疗。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号