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Sci Rep:原发性前列腺癌中,基因组损伤指数与mpMRI和68Ga-PSMA-PET/CT成像特性相关性分析

2018-11-24 AlexYang MedSci原创

核磁共振成像(MRI)和前列腺特异性膜抗原(PSMA)-正电子成像术(PET)/计算机断层扫描(CT)-前列腺癌(PCa)成像技术成为评估明显疾病和肿瘤恶化的新兴技术。然而,是否以及由这些成像技术检测到怎样的损伤与PCa基因组特性关联仍旧未知。最近,有研究人员确定了基于染色体拷贝数变异(CNAs)的基因组损伤指数,并将CNAs作为前列腺活检中肿瘤恶化的标记,并且与多参数(mp)MRI和68Ga-P

核磁共振成像(MRI)和前列腺特异性膜抗原(PSMA)-正电子成像术(PET)/计算机断层扫描(CT)-前列腺癌(PCa)成像技术成为评估明显疾病和肿瘤恶化的新兴技术。然而,是否以及由这些成像技术检测到怎样的损伤与PCa基因组特性关联仍旧未知。

最近,有研究人员确定了基于染色体拷贝数变异(CNAs)的基因组损伤指数,并将CNAs作为前列腺活检中肿瘤恶化的标记,并且与多参数(mp)MRI和68Ga-PSMA-PET/C成像特性关联。研究人员从5名连续性患有临床高风险前列腺癌患者中获得了46分活检样本的CAN情况,这些样本来自于放射治疗的疑似病灶区和非疑似病灶区。所有的患者均经历了mpMRI、MRI/TURS融合活检、68Ga-PSMA-PET/C和根治性前列腺切除。研究发现,CNAs与成像特性和放射基因组分析均直接相关,并在22个活检样本中发现了非常明显的CNAs(≥10Mbp)。其中,染色体8p、13p和5q丢失为最常见。另外,放射和基因组损伤指数之间具有很强的相关性。放射基因组分析表明了发展放射特性的可行性,并且能够区分基因组上或多或少的病变。

最后,研究人员指出,mpMRI和68Ga-PSMA-PET/C能够为大多PCa恶性基因组损伤提供支持。放射基因组也许能够帮助更好的区分良性PCa和恶性PCa。

原始出处:

Claudia Kesch, Jan-Philipp Radtke, Axel Wintsche et al. Correlation between genomic index lesions and mpMRI and 68Ga-PSMA-PET/CT imaging features in primary prostate cancer. Sci Rep. 12 Nov 2018.

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    2019-04-25 feather89
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  5. 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content=好文,值得点赞!认真学习了,把经验应用于实践,为患者解除病痛。, beContent=null, objectType=article, channel=null, level=null, likeNumber=76, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=30251637888, createdName=lietome15, createdTime=Sat Nov 24 12:59:53 CST 2018, time=2018-11-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=353535, encodeId=72e3353535c9, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=82311653708, createdName=医者仁心5538, createdTime=Sat Nov 24 12:53:05 CST 2018, time=2018-11-24, status=1, ipAttribution=)]
  6. 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attachment=null, authenticateStatus=null, createdAvatar=https://thirdwx.qlogo.cn/mmopen/vi_32/DYAIOgq83eoNX3lUOlDKGBUEPNwZx0nibmdcFyeibnX4WMhUSCU2REpGRWtSmnT2CCs0dA5waxvJknYDxwtYnIcQ/132, createdBy=294e2500218, createdName=ms3046638856685384, createdTime=Mon Nov 26 03:21:00 CST 2018, time=2018-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1523614, encodeId=77451523614d3, content=<a href='/topic/show?id=f6f1e2533e3' target=_blank style='color:#2F92EE;'>#相关性分析#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=37, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=72533, encryptionId=f6f1e2533e3, topicName=相关性分析)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=ad8f11536374, createdName=anminleiryan, createdTime=Mon Nov 26 03:21:00 CST 2018, time=2018-11-26, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=353542, encodeId=9e8e35354224, content=好文,值得点赞!认真学习了,把经验应用于实践,为患者解除病痛。, beContent=null, objectType=article, channel=null, level=null, likeNumber=76, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=30251637888, createdName=lietome15, createdTime=Sat Nov 24 12:59:53 CST 2018, time=2018-11-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=353535, encodeId=72e3353535c9, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=82311653708, createdName=医者仁心5538, createdTime=Sat Nov 24 12:53:05 CST 2018, time=2018-11-24, status=1, ipAttribution=)]
    2018-11-26 江川靖瑶
  7. 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  8. 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  9. 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content=好文,值得点赞!认真学习了,把经验应用于实践,为患者解除病痛。, beContent=null, objectType=article, channel=null, level=null, likeNumber=76, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=30251637888, createdName=lietome15, createdTime=Sat Nov 24 12:59:53 CST 2018, time=2018-11-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=353535, encodeId=72e3353535c9, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=73, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=82311653708, createdName=医者仁心5538, createdTime=Sat Nov 24 12:53:05 CST 2018, time=2018-11-24, status=1, ipAttribution=)]
    2018-11-24 lietome15

    好文,值得点赞!认真学习了,把经验应用于实践,为患者解除病痛。

    0

  10. 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    2018-11-24 医者仁心5538

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