JAMA Netw Open:1型神经纤维瘤病患者发生多种肿瘤的风险均明显增加!

2021-03-19 MedSci原创 MedSci原创

1型神经纤维瘤病(NF1)是一种复杂的遗传疾病,不仅与神经纤维瘤有关,还与对其他肿瘤的敏感性增加相关。NF1患者发生神经纤维瘤以外的肿瘤风险如何呢?

1型神经纤维瘤病(NF1)是一种复杂的遗传疾病,不仅与神经纤维瘤有关,还与对其他肿瘤的敏感性增加相关。

本研究旨在评估NF1患者的肿瘤发生率和预后。

这是一项单中心队列研究,评估了2427位NF1患者,其中1607位符合美国国立卫生研究院NF1共识标准被纳入分析。疾病特异性生存期(DSS)即从诊断日期到肿瘤特异性死亡或检查日期为止。疾病导致的死亡被认为是DSS终点;其他死亡被视为经过审查的观察结果。

总存活率和疾病特异性生存期(DSS)

在1607位NF1患者中,开始随访的中位年龄为19岁(1个月-83岁),其中840位(52.3%)为女性。在666位除了神经纤维瘤还发生了其他肿瘤的患者(41.4%)中,有295位(18.4%)发生了胶质瘤,243位(15.1%)发生了恶性周围神经鞘瘤(MPNST)。

与一般人群相比,NF1患者发生几种肿瘤的平均年龄均更小(低级别胶质瘤:12.98岁 vs 37.76岁,p<0.0001;高级别胶质瘤[HGG]:27.31岁 vs 58.42岁,p<0.0001;MPNST:33.88岁 vs 47.06岁,p<0.0001;乳腺癌:46.61岁 vs 61.71岁,p<0.0001)。

NF1患者最常见的非神经纤维瘤肿瘤的治疗

与一般人群相比,NF1患者的肿瘤发病率明显更高(优势比 9.5,95% CI 8.5-10.5,p<0.0001)。在NF1患者中,罹患未分化多形性肉瘤(20.0%)、HGG(23.1%)、MPNST(31.6%)、卵巢癌(57.1%)或黑色素瘤(66.7%)的患者的5年DSS率明显低于罹患其他肿瘤的患者(92.4%,所有p<0.001)

综上,本队列研究结果表明,NF1患者得了未分化多形性肉瘤、HGG、MPNST、卵巢癌或黑色素后的DSS率显著低于那些得了其他肿瘤的NF1患者。此外,NF1患者比没有NF1人更常见在年轻时候发生肿瘤。HGG和MPNST是NF1患者最值得注意的死亡原因。该研究结果或有助于指导NF1患者的咨询及随访。

原始出处:

Jace P. Landry, et al. Comparison of Cancer Prevalence in Patients With Neurofibromatosis Type 1 at an Academic Cancer Center vs in the General Population From 1985 to 2020. JAMA Netw Open. 2021;4(3):e210945. doi:10.1001/jamanetworkopen.2021.0945

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topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Fri Mar 19 18:06:26 CST 2021, time=2021-03-19, status=1, ipAttribution=)]
    2021-11-24 canlab
  2. 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    2021-07-10 久久归医

    难过

    0

  3. 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topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Fri Mar 19 18:06:26 CST 2021, time=2021-03-19, status=1, ipAttribution=)]
    2021-04-19 feather89
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  5. 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  6. 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  7. 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  8. 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content=👏👏👏优秀, beContent=null, objectType=article, channel=null, level=null, likeNumber=112, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=cd5c2462821, createdName=储酒仙, createdTime=Fri Mar 19 21:46:42 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1036533, encodeId=e2b710365338f, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Fri Mar 19 20:01:48 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=949554, encodeId=1b4f9495545e, content=好文章!, beContent=null, objectType=article, channel=null, level=null, likeNumber=103, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Fri Mar 19 18:06:26 CST 2021, time=2021-03-19, status=1, ipAttribution=)]
    2021-03-19 储酒仙

    👏👏👏优秀

    0

  9. 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content=👏👏👏优秀, beContent=null, objectType=article, channel=null, level=null, likeNumber=112, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=cd5c2462821, createdName=储酒仙, createdTime=Fri Mar 19 21:46:42 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1036533, encodeId=e2b710365338f, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Fri Mar 19 20:01:48 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=949554, encodeId=1b4f9495545e, content=好文章!, beContent=null, objectType=article, channel=null, level=null, likeNumber=103, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Fri Mar 19 18:06:26 CST 2021, time=2021-03-19, status=1, ipAttribution=)]
    2021-03-19 旺医

    顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息

    0

  10. 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content=👏👏👏优秀, beContent=null, objectType=article, channel=null, level=null, likeNumber=112, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=cd5c2462821, createdName=储酒仙, createdTime=Fri Mar 19 21:46:42 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1036533, encodeId=e2b710365338f, content=顶刊就是顶刊,谢谢梅斯带来这么高水平的研究报道,我们科里同事经常看梅斯,分享梅斯上的信息, beContent=null, objectType=article, channel=null, level=null, likeNumber=65, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=旺医, createdTime=Fri Mar 19 20:01:48 CST 2021, time=2021-03-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=949554, encodeId=1b4f9495545e, content=好文章!, beContent=null, objectType=article, channel=null, level=null, likeNumber=103, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cacheapi.medsci.cn/resource/upload/20160806/IMG57A5698BDB0244113.jpg, createdBy=32a91358059, createdName=jyzxjiangqin, createdTime=Fri Mar 19 18:06:26 CST 2021, time=2021-03-19, status=1, ipAttribution=)]
    2021-03-19 jyzxjiangqin

    好文章!

    0

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