JAMA Oncol:对李法美尼症候群检测方法的评价

2018-01-06 王帅 “医海拾贝微转化”微信号

有一种遗传性疾病, 叫Li-Fraumeni syndrome(李法美尼症候群),主要是抑癌基因p53的缺失,引起家族性癌症的发生,随着对TP53基因认识的加深及检测技术的发展,这种病症的检出率越来越高。李法美尼症候群女性一生的患癌率是100%,男性亦达80%。对于该类患者的医学监测是当今医学最具挑战的难题。我们如何改变一个与已确定的癌症发生的自然进程?该病的复杂性及肿瘤的多样性和侵袭性限制了普通

有一种遗传性疾病, 叫Li-Fraumeni syndrome(李法美尼症候群),主要是抑癌基因p53的缺失,引起家族性癌症的发生,随着对TP53基因认识的加深及检测技术的发展,这种病症的检出率越来越高。李法美尼症候群女性一生的患癌率是100%,男性亦达80%。对于该类患者的医学监测是当今医学最具挑战的难题。我们如何改变一个与已确定的癌症发生的自然进程?该病的复杂性及肿瘤的多样性和侵袭性限制了普通筛查的有效性。

在最近一期《JAMA Oncology》发表了两篇重要文章,具体评价了对这种患癌率极高的疾病进行监测的方法。

美国国立癌症研究所Mai等人报道了一项116例(2012-2016年)李法美尼症候群的研究, 对比了不同的筛查手段,每年进行全身MRI,每4个月进行血液学检查,儿童每4个月行超声检查,成人进行脑和乳腺的MRI及结肠镜检,结果显示MRI可以检测出大多数肿瘤,而非MRI技术,包括血液检查,儿童腹部超声检查,乳房X线照相术和结肠镜检查等没有检测出肿瘤。该研究表明全身、脑或乳腺MRI可以帮助李法美尼症候群患者检出易患肿瘤,而其它检测手段可以用以降低假阳性率。

在另外一篇文章,Ballinger等人收集了2004-2016年6个国家13个李法美尼症候群研究中心的共578例患者(376例女性,202例男性)的全身MRI数据。全身MRI在173位参与者中检测到需要临床随访的225个病灶。在54个病人中有61个被诊断为肿瘤(包括良性或恶性),在39个人中确定了42个癌症,其中35个新发现的局限期癌症可通过治疗达到根治。 新的局限期原发癌的总体估计检出率为7%(95%CI,5%-9%),儿童的检出率较成人高。这些数据表明全身MRI对TP53突变携带者具有临床实用价值,可以作为这部分高风险人群临床风险医疗检测的基本组成部分。

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    2018-04-02 minlingfeng
  2. [GetPortalCommentsPageByObjectIdResponse(id=1865262, encodeId=f5e918652628d, content=<a href='/topic/show?id=16ce133504e' target=_blank style='color:#2F92EE;'>#Oncol#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=37, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13350, encryptionId=16ce133504e, topicName=Oncol)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b63894, createdName=minlingfeng, createdTime=Mon Apr 02 02:53:00 CST 2018, time=2018-04-02, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=276770, encodeId=c8d12e677077, content=学习了.谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=67, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=7c592194322, createdName=1209e435m98(暂无昵称), createdTime=Tue Jan 09 06:49:06 CST 2018, time=2018-01-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1444318, encodeId=c7211444318c9, content=<a href='/topic/show?id=3d9291459d1' target=_blank style='color:#2F92EE;'>#评价#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=45, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=91459, encryptionId=3d9291459d1, topicName=评价)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=1fee5134542, createdName=huagfeg, createdTime=Mon Jan 08 05:53:00 CST 2018, time=2018-01-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1457097, encodeId=b1a3145e09742, content=<a href='/topic/show?id=b7e86254347' target=_blank style='color:#2F92EE;'>#检测方法#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=45, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=62543, encryptionId=b7e86254347, topicName=检测方法)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=8fe35841975, createdName=gracezdd, createdTime=Mon Jan 08 05:53:00 CST 2018, time=2018-01-08, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=276026, encodeId=e6442e602692, content=学习了.谢谢分享., beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=60791943465, createdName=1e0f8808m18(暂无匿称), createdTime=Sat Jan 06 15:10:26 CST 2018, time=2018-01-06, status=1, ipAttribution=)]
    2018-01-09 1209e435m98(暂无昵称)

    学习了.谢谢分享

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    2018-01-08 huagfeg
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    2018-01-06 1e0f8808m18(暂无匿称)

    学习了.谢谢分享.

    0