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Front Oncol:贝叶斯网状Meta分析比较ALK阳性NSCLC患者一线治疗方案的疗效和安全性

2021-11-14 yd2015 MedSci原创

研究表明,对于晚期ALK阳性NSCLC患者,与其他一线治疗相比,劳拉替尼的PFS获益最高,CNS进展获益风险最低,但毒性也高。

间变性淋巴瘤激酶(ALK)是胰岛素受体酪氨酸激酶家族(RTK)的一员,由染色体2p23上的ALK基因编码。棘皮微管相关蛋白4 (EML4)ALK的融合在少数非小细胞肺癌(NSCLC)发现,而ALK重排在约3% - 7%的病例中发现,其常见于从不/轻度吸烟史、腺癌组织学、年轻患者、女性、以及EGFR/KRAS野生型的患者中。ALK-TKIs的应用彻底改变ALK阳性NSCLC患者的治疗格局以及改善患者的预后。目前已开发多代ALK-TKIs,包括克唑替尼(第一代);Alectinib, brigatinib, ceritinib, ensartinib(第二代);lorlatinib(第三代)然而,临床实践中不同TKIs一线治疗时的相对有效性和安全性一直存在争议。因此,Frontiers in Oncology杂志上发表了一项网络meta分析,以研究不同TKIs一线治疗晚期ALK阳性NSCLC患者的疗效和安全性,以提供最佳的临床选择。

检索PubMedEmbaseClinicalTrials.gov和国际会议数据库,数据截止至2021630日。在贝叶斯网络meta分析中纳入了比较一线治疗ALK阳性晚期NSCLC患者的III期随机对照试验(RCT)符合条件的研究至少报告了以下临床结局之一:无进展生存期(PFS)、总生存期(OS)、中枢神经系统(CNS)进展风险、(G) 3级或更高级别(G3 AEs)不良事件(AEs)或严重不良事件(SAEs)

9项随机对照试验符合纳入标准,共有2484例患者被纳入。患者接受7种不同的治疗,包括ALK- TKIs(克唑替尼、阿来替尼、布加替尼、塞瑞替尼、恩沙替尼或劳拉替尼)或化疗。

对PFS和OS,对所有7种治疗方式进行比较分析;对CNS进展风险,对六种治疗方式进行比较;对G3 AEs也是六种治疗方式进行分析;对SAEs,对四种治疗方式进行比较。

在PFS方面,与化疗相比,劳拉替尼获得了最高的效益(HR0.12,95%CI0.03至0.43),但与克唑替尼相比也有显著的效益(0.28,0.10-0.80)。与化疗相比,阿来替尼(0.15,0.05 - 0.36)、恩沙替尼(0.19,0.05 - 0.70)、布加替尼(0.21,0.06 - 0.76)和克唑替尼(0.43,0.20 - 0.89)也观察到了获益。与克唑替尼相比,阿来替尼显著延长PFS(0.34,0.17-0.61)。在OS方面,没有一种ALK-TKIs优于化疗或其他ALK-TKI。

                      PFS和OS

在CNS进展风险方面,与化疗相比,劳拉替尼也获得了最高的效益(HR 0.04, 0.01-0.20);与克唑替尼相比也存在显著差异(0.06、0.01-0.26)。同样,阿来替尼优于化疗(0.11,0.04-0.32)和克唑替尼(0.30,0.09-0.99)。

                            CNS风险、毒性、严重毒性

我们观察到与化疗相比较,ALK-TKIs相关的毒性相似。劳拉替尼的≥3级AEs比例更高,高于阿来替尼(4.26,1.22 - 15.53);阿来替尼与克唑替尼类似也有较高比例(2.01,1.08-3.89)。在四种治疗(阿列替尼、克唑替尼、恩沙替尼和化疗)中,没有观察到严重AEs的概率差异。

贝叶斯排序结果与使用危险系数和OR值进行的综合分析几乎一致。对于晚期ALK阳性NSCLC患者,劳拉替尼最有可能在PFS(累积概率60%)和CNS进展风险(90%)方面排名第一。塞瑞替尼最可能引起G3 AE(56%),其次是劳拉替尼(35%)。阿来替尼在导致3级或更高的AEs中排名最后的概率最高(87%)。

         贝叶斯排序

综上,研究表明,对于晚期ALK阳性NSCLC患者,与其他一线治疗相比,劳拉替尼的PFS获益最高,CNS进展获益风险最低,但毒性也高。目前的临床实践中新一代ALK-TKIs在ALK阳性NSCLC一线治疗中的应用正在迅速发展。

原始出处:

Peng L, Lu D, Xia Y, Hong S, Selvaggi G, Stebbing J, Sun Y and Liang F (2021) Efficacy and Safety of First-Line Treatment Strategies for Anaplastic Lymphoma Kinase-Positive Non-Small Cell Lung Cancer: A Bayesian Network Meta-Analysis. Front. Oncol. 11:754768. doi: 10.3389/fonc.2021.754768

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likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13350, encryptionId=16ce133504e, topicName=Oncol)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b63894, createdName=minlingfeng, createdTime=Thu Mar 31 16:54:21 CST 2022, time=2022-03-31, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1410894, encodeId=d94f1410894aa, content=<a href='/topic/show?id=a4ed130e7d0' target=_blank style='color:#2F92EE;'>#NSCLC患者#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=87, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13077, encryptionId=a4ed130e7d0, topicName=NSCLC患者)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=06332789533, createdName=xiongliangxl, createdTime=Tue Nov 16 01:54:21 CST 2021, time=2021-11-16, status=1, ipAttribution=)]
    2022-06-19 guojianrong
  4. 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  5. 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  6. 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likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13350, encryptionId=16ce133504e, topicName=Oncol)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=b63894, createdName=minlingfeng, createdTime=Thu Mar 31 16:54:21 CST 2022, time=2022-03-31, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1410894, encodeId=d94f1410894aa, content=<a href='/topic/show?id=a4ed130e7d0' target=_blank style='color:#2F92EE;'>#NSCLC患者#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=87, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=13077, encryptionId=a4ed130e7d0, topicName=NSCLC患者)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=06332789533, createdName=xiongliangxl, createdTime=Tue Nov 16 01:54:21 CST 2021, time=2021-11-16, status=1, ipAttribution=)]
    2022-08-12 xjy02
  7. 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  8. 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  9. 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    2022-03-31 minlingfeng
  10. 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