CELL REP:研究人员发现针对癌症KRAS突变的新疗法

2020-04-09 MedSci原创 MedSci原创

为了确定KRASi的适应途径,并预测规避耐药性的药物组合,研究人员使用基于质谱法的定量时空蛋白组学方法,对胰腺癌和肺癌的二维和三维细胞模型中KRASi的蛋白组学反应进行了剖析。

KRAS是在癌症中常见的突变蛋白,但是由于其自身的结构特征,针对KRAS的药物至今非常少。最近人们开发出了KRASG12C突变体的共价抑制剂,并正在进行临床试验评估。但是人们发现,对靶向治疗的耐药性很常见,这可能会限制KRAS抑制剂(KRASi)的长期疗效。

为了确定KRASi的适应途径,并预测规避耐药性的药物组合,研究人员使用基于质谱法的定量时空蛋白组学方法,对胰腺癌和肺癌的二维和三维细胞模型中KRASi的蛋白组学反应进行了剖析。

研究人员量化了10805种蛋白质,代表了最全面的KRASi蛋白质组(https://manciaslab.shinyapps.io/KRASi/)。这些数据揭示了KRASG12C驱动的肿瘤之间的急性和长期反应的共同机制。

基于这些蛋白质组数据,研究人员确定了KRASi与磷脂酰肌醇3-激酶(PI3K)、HSP90、CDK4/6、CDK4/6和SHP2抑制剂的有效组合,在某些情况下,可以将KRASi单药治疗的细胞毒性反应转化为联合治疗的细胞毒性反应。

总的来说,利用定量的时空蛋白组学,研究人员全面表征了KRASi的适应性,并确定了具有潜在治疗效用的组合疗法。

 

原始出处:

Naiara Santana-Codina et al. Defining and Targeting Adaptations to Oncogenic KRASG12C Inhibition Using Quantitative Temporal Proteomics. CELL REP, 2020; DOI:https://doi.org/10.1016/j.celrep.2020.03.021

 

 

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    2020-10-29 docwu2019
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    2020-04-11 yinhl1978
  6. [GetPortalCommentsPageByObjectIdResponse(id=1907609, encodeId=ed59190e60900, content=<a href='/topic/show?id=379fe3364c9' target=_blank style='color:#2F92EE;'>#研究人员#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=40, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=73364, encryptionId=379fe3364c9, topicName=研究人员)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=db5b227, createdName=gostraight, createdTime=Sun Aug 02 10:27:33 CST 2020, time=2020-08-02, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1871665, encodeId=15bb18e166550, content=<a href='/topic/show?id=fd764459a8' target=_blank style='color:#2F92EE;'>#Cell#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=4459, encryptionId=fd764459a8, topicName=Cell)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=524d95, createdName=zhaozhouchifen, createdTime=Thu Jul 02 22:27:33 CST 2020, time=2020-07-02, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1961959, encodeId=aa28196195981, content=<a href='/topic/show?id=dbe6445416' target=_blank style='color:#2F92EE;'>#CEL#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=37, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=4454, encryptionId=dbe6445416, topicName=CEL)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=a12645, createdName=docwu2019, createdTime=Thu Oct 29 01:27:33 CST 2020, time=2020-10-29, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1332869, encodeId=7dcb1332869dc, content=<a href='/topic/show?id=e070105e2bb' target=_blank style='color:#2F92EE;'>#KRAS突变#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10572, encryptionId=e070105e2bb, topicName=KRAS突变)], attachment=null, authenticateStatus=null, createdAvatar=https://thirdqq.qlogo.cn/qqapp/1103841572/17F844FBE270B8196CB4C53EC9493C57/100, createdBy=9d712500079, createdName=ms5906905816781247, createdTime=Sat Apr 11 03:27:33 CST 2020, time=2020-04-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1369017, encodeId=e9f5136901e99, content=<a href='/topic/show?id=13cb1056e20' target=_blank style='color:#2F92EE;'>#KRAS#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=37, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10567, encryptionId=13cb1056e20, topicName=KRAS)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=8217292, createdName=yinhl1978, createdTime=Sat Apr 11 03:27:33 CST 2020, time=2020-04-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1554580, encodeId=b101155458047, content=<a href='/topic/show?id=74e458559f5' target=_blank style='color:#2F92EE;'>#新疗法#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=58559, encryptionId=74e458559f5, topicName=新疗法)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=d03114536414, createdName=kcb074, createdTime=Sat Apr 11 03:27:33 CST 2020, time=2020-04-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1585324, encodeId=8e9f1585324b9, content=<a href='/topic/show?id=792b15145a6' target=_blank style='color:#2F92EE;'>#RAS突变#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=34, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=15145, encryptionId=792b15145a6, topicName=RAS突变)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=6f2c17156536, createdName=bioon7, createdTime=Sat Apr 11 03:27:33 CST 2020, time=2020-04-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=381504, encodeId=59c9381504ae, content=感谢分享!, beContent=null, objectType=article, channel=null, level=null, likeNumber=95, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=43a21971117, createdName=njwbhuang, createdTime=Thu Apr 09 12:30:10 CST 2020, time=2020-04-09, status=1, ipAttribution=)]
    2020-04-11 kcb074
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    2020-04-11 bioon7
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    2020-04-09 njwbhuang

    感谢分享!

    0

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Sci Transl Med:无创性尿蛋白酶检测筛查肺癌

肺癌是与癌症相关死亡的主要原因,确诊时多已经是晚期,无法治愈。

Nature:AI测血,肺癌早现!科学家开发全新AI血液测试

美国多家机构组成的大型研究团队发现,可以利用机器学习来检测人类早期肺癌。该小组在《Nature》杂志上发表的论文中描述了他们的工作,包括测试机器学习系统及其在血液样本中发现循环肿瘤DNA(ctDNA)

Thorax:COPD增加肺癌发生风险高达1.6倍!

慢性阻塞性肺疾病,简称慢阻肺,是呼吸系统的常见病和多发病。慢阻肺虽然姓“慢”,但患病人数却增长得很“快”,

以上肢结节为表现的肺癌皮肤转移 1 例

作者:王松挺,斯子翔,赵红磊,李君强等,宁波市北仑区人民医院皮肤科,宁波市北仑区人民医院病理科,宁波市鄞州第二医院皮肤科

Sci Rep:VI型胶原蛋白α5基因变异可预测中国汉族人群罹患肺癌的风险

COL6A5多态性rs13062453、rs1497305和rs77123808与中国汉族人群的肺癌风险相关。

Cell Death Dis:ALDOA通过Oct4/DUSP4/TRAF4通路诱导肺癌细胞获得干细胞特性

恶性肿瘤的复发及转移会导致患者的不良预后。与典型癌细胞相比,癌症干细胞被视为具有自我更新能力及全能性的癌细胞亚群。癌症干细胞是癌症治疗中的重要问题。耐药性作为癌症治疗过程中的重要问题,也涉及癌症的干细