首页> 外文OA文献 >Genomic biomarkers for molecular imaging: predicting the future.
【2h】

Genomic biomarkers for molecular imaging: predicting the future.

机译:用于分子成像的基因组生物标志物:预测未来。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Over the past few decades, great strides have been made in anatomical imaging of disease that has led to their diagnosis with minimal invasion. Despite these advances, diseases such as cancer continue to take one human life every minute in the United States. Complimentary approaches that pertain directly to the genesis of the disease might contribute to its early diagnosis and subsequent management. In cancer, an array of molecular abnormalities leading to the modulations in expression of key proteins important in the cellular signaling pathways and cell proliferation has been identified. These specific disease fingerprints, biomarkers, are overexpressed on malignant cell surfaces or within the cytoplasm, and they provide unique targets that are promising for improving cancer diagnosis and therapy. We and others have designed, synthesized, and evaluated some novel probes specific for those oncogenes and oncogene product biomarkers for PET and SPECT molecular imaging of certain types of cancers. This article briefly describes this approach and gives specific examples that depict the ability of molecular imaging to detect occult lesions not detectable by current scintigraphic approaches. The article also outlines a few examples predicting other possible applications of targeting such specific probes not yet used.
机译:在过去的几十年中,疾病的解剖学成像取得了长足的进步,从而使他们的诊断与侵袭最小。尽管取得了这些进步,但在美国,癌症等疾病仍在继续每分钟夺去一个人的生命。与疾病起源直接相关的免费方法可能有助于其早期诊断和后续管理。在癌症中,已经发现了一系列导致细胞关键信号通路和细胞增殖中重要蛋白质表达调控的分子异常。这些特定的疾病指纹,生物标志物在恶性细胞表面或细胞质内过度表达,它们提供了独特的靶标,有望改善癌症的诊断和治疗。我们和其他人已经设计,合成和评估了一些新颖的探针,这些探针对某些类型的癌症的PET和SPECT分子成像的那些癌基因和癌基因产物生物标志物具有特异性。本文简要介绍了这种方法,并提供了一些特定的示例,这些示例描述了分子成像检测当前闪烁显像方法无法检测到的隐匿性病变的能力。本文还概述了一些示例,这些示例预测了针对尚未使用的此类特定探针的其他可能应用。

著录项

  • 作者

    Thakur Mathew L.;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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