肿瘤病学年鉴:帕洛昔布联合内分泌治疗与卡培他滨治疗转移性乳腺癌的疗效比较

2021-04-12 MedSci原创 MedSci原创

与卡培他滨相比,帕洛昔单抗联合内分泌治疗并不能改善MAC患者的PFS,但能更好地改善患者生活质量。

乳腺癌是乳腺上皮细胞在多种致癌因子的作用下,发生增殖失控的现象。乳腺癌常被称为“粉红杀手”,其发病率位居女性恶性肿瘤的首位,男性乳腺癌较为少见。随着医疗水平的提高,乳腺癌已成为疗效最佳的实体肿瘤之一。

目前,激素受体阳性和人表皮生长因子受体2(HER2)阴性转移性乳腺癌(MBC)的大多数妇女都推荐使用单剂内分泌治疗(ET)。然而,由于原发性或获得性耐药性,并非所有患者都对内分泌治疗敏感。

在过去的十年里,新的靶向治疗,主要是CDK4/6抑制剂,与ET结合,使得MBC患者无进展生存期(PFS)和总生存期(OS) 显著提高。PALOMA-3试验表明,与氟维司群加安慰剂相比,加用帕洛昔布显著改善了PFS危险比。因此,美国食品药品监督管理局(FDA)和欧洲药品管理局(EMA)都批准了对MBC患者使用帕洛昔布加氟维司群治疗这些患者。

尽管帕洛昔布联合内分泌治疗是激素受体阳性和HER2阴性转移性乳腺癌的标准治疗方法。然而,它的疗效还没有在三期试验中与化疗相比较。为此,来自西班牙康普坦大学医学系的肿瘤学专家开展了三期临床试验,结果发表在最新的《肿瘤学年鉴》(Annals of Oncology)杂志上。

该试验为PEARL试验,是一项多中心、三期随机研究,其中具有芳香酶抑制剂抗性(AIs)的MBC患者被纳入两个连续队列。在队列1中,患者以1 : 1的比例被随机分配到帕洛昔布联合依西美坦或卡培他滨组。

在发现雌激素受体-1 (ESR1)突变导致对AIs耐药的新证据后,该试验被修改为队列2,其中患者被随机分配到1 : 1的帕洛昔布加氟维司群和卡培他滨组。分层标准是疾病部位、既往对ET的敏感性、化疗方案等。共同主要终点是队列2和野生型ESR1患者的无进展生存期(PFS)。

试验设计流程图。

从2014年3月至2018年7月,分别有296名和305名患者纳入队列1和队列2。在队列2[中位PFS: 7.5 vs 10.0个月;aHR=1.13, 95%CI:0.85-1.50]及野生型ESR1突变患者中[中位PFS: 8.0 vs 10.6个月;aHR=1.11, 95%CI:0.87-1.41],帕洛昔布加ET治疗都并不优于卡培他滨治疗。

PFS的KaplaneMeier曲线。(A)队列2:帕洛昔布加氟维司群与卡培他滨的患者和(B)队列1:队列2:帕洛昔布加内分泌治疗与卡培他滨的野生型ESR1患者。根据疾病部位、对内分泌治疗的既往敏感性、转移性乳腺癌的既往化疗和受累部位的数量调整风险比。

帕洛昔布加依西美坦、帕洛昔布加氟维司群和卡培他滨最常见的3-4级毒性分别为中性粒细胞减少症(57.4%、55.7%和5.5%)、手足综合征(0%、0%和23.5%)和腹泻(1.3%、1.3%和7.6%)。但洛昔布联合ET治疗患者生活质量更优(全球健康状况恶化时间HR=0.67;95%CI:0.53-0.85)。

由此可见,与卡培他滨相比,帕洛昔单抗联合内分泌治疗并不能改善MAC患者的PFS,但能更好地改善患者生活质量。

 

参考文献:

Palbociclib in combination with endocrine therapy versus capecitabine in hormonal receptor-positive, human epidermal growth factor 2-negative, aromatase inhibitor-resistant metastatic breast cancer: a phase III randomised controlled trial—PEARL. https://doi.org/10.1016/j.annonc.2020.12.013

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    2021-04-22 科研科研科研

    帕罗惜布治疗乳腺癌

    0

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  4. [GetPortalCommentsPageByObjectIdResponse(id=1682663, encodeId=5c6d16826638c, content=<a href='/topic/show?id=d4d031e8074' target=_blank style='color:#2F92EE;'>#分泌#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=63, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=31780, encryptionId=d4d031e8074, topicName=分泌)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=30bd35, createdName=一叶知秋, createdTime=Tue Apr 27 23:43:36 CST 2021, time=2021-04-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=959536, encodeId=fc4c959536e8, content=帕罗惜布治疗乳腺癌, beContent=null, objectType=article, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210110/e6124a4b19bc40ce8afaae096d21126b/dd778ac260c9416eb87e7d08139507f5.jpg, createdBy=4d2f5079605, createdName=科研科研科研, createdTime=Thu Apr 22 20:01:17 CST 2021, time=2021-04-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1293521, encodeId=4aaa1293521e6, content=<a href='/topic/show?id=a82f36493c4' target=_blank style='color:#2F92EE;'>#卡培他滨#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=36493, encryptionId=a82f36493c4, topicName=卡培他滨)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=1c8c241, createdName=w363522449, createdTime=Wed Apr 14 09:43:36 CST 2021, time=2021-04-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1386744, encodeId=e3c71386e44c1, content=<a href='/topic/show?id=f08293399f9' target=_blank style='color:#2F92EE;'>#转移性#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=93399, encryptionId=f08293399f9, topicName=转移性)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=1ac22500003, createdName=1249842em09(暂无昵称), createdTime=Wed Apr 14 09:43:36 CST 2021, time=2021-04-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=956577, encodeId=d30b9565e764, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=96, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210413/8061a962539d452bbfb306396ed79deb/e0ea950e3e474920b8d8d1b11a5ffced.jpg, createdBy=be095402886, createdName=ms5000000000121449, createdTime=Tue Apr 13 14:02:17 CST 2021, time=2021-04-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=956373, encodeId=0ccb9563e328, content=三人行,必有我师。 <a href='/topic/show?id=d55f104233bd' target=_blank style='color:#2F92EE;'>#梅斯医学科研互助群#</a> 欢迎您的加入,添加【梅斯医学科研助手**:medsci_2021】邀您进群! 【社群简介】👉 梅斯医学目前已建立覆盖肿瘤、心血管、神经、消化、内分泌、呼吸等30个科室的学习交流社群。 【入群福利】👉 群内可实时交流病例,提问同行,跨群讨论,每天更新前沿医学资讯和指南共识,每周推出至少1场专业直播,不时共享科研干货,入群即可获得100份SCI写作攻略!, beContent=null, objectType=article, channel=null, level=null, likeNumber=109, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=104233, encryptionId=d55f104233bd, topicName=梅斯医学科研互助群)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210413/08ec7710e47c4f6dba6c277207bf00ec/823f09e953ea44188e56b38cd2f16334.jpg, createdBy=ec565230154, createdName=first smile, createdTime=Mon Apr 12 22:44:58 CST 2021, time=2021-04-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1032870, encodeId=924310328e039, content=谢谢梅斯提供这么好的信息,学到很多, beContent=null, objectType=article, channel=null, level=null, likeNumber=77, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=内科新手, createdTime=Mon Apr 12 21:43:36 CST 2021, time=2021-04-12, status=1, ipAttribution=)]
  5. [GetPortalCommentsPageByObjectIdResponse(id=1682663, encodeId=5c6d16826638c, content=<a href='/topic/show?id=d4d031e8074' target=_blank style='color:#2F92EE;'>#分泌#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=63, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=31780, encryptionId=d4d031e8074, topicName=分泌)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=30bd35, createdName=一叶知秋, createdTime=Tue Apr 27 23:43:36 CST 2021, time=2021-04-27, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=959536, encodeId=fc4c959536e8, content=帕罗惜布治疗乳腺癌, beContent=null, objectType=article, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210110/e6124a4b19bc40ce8afaae096d21126b/dd778ac260c9416eb87e7d08139507f5.jpg, createdBy=4d2f5079605, createdName=科研科研科研, createdTime=Thu Apr 22 20:01:17 CST 2021, time=2021-04-22, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1293521, encodeId=4aaa1293521e6, content=<a href='/topic/show?id=a82f36493c4' target=_blank style='color:#2F92EE;'>#卡培他滨#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=36493, encryptionId=a82f36493c4, topicName=卡培他滨)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=1c8c241, createdName=w363522449, createdTime=Wed Apr 14 09:43:36 CST 2021, time=2021-04-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1386744, encodeId=e3c71386e44c1, content=<a href='/topic/show?id=f08293399f9' target=_blank style='color:#2F92EE;'>#转移性#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=57, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=93399, encryptionId=f08293399f9, topicName=转移性)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=1ac22500003, createdName=1249842em09(暂无昵称), createdTime=Wed Apr 14 09:43:36 CST 2021, time=2021-04-14, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=956577, encodeId=d30b9565e764, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=96, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210413/8061a962539d452bbfb306396ed79deb/e0ea950e3e474920b8d8d1b11a5ffced.jpg, createdBy=be095402886, createdName=ms5000000000121449, createdTime=Tue Apr 13 14:02:17 CST 2021, time=2021-04-13, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=956373, encodeId=0ccb9563e328, content=三人行,必有我师。 <a href='/topic/show?id=d55f104233bd' target=_blank style='color:#2F92EE;'>#梅斯医学科研互助群#</a> 欢迎您的加入,添加【梅斯医学科研助手**:medsci_2021】邀您进群! 【社群简介】👉 梅斯医学目前已建立覆盖肿瘤、心血管、神经、消化、内分泌、呼吸等30个科室的学习交流社群。 【入群福利】👉 群内可实时交流病例,提问同行,跨群讨论,每天更新前沿医学资讯和指南共识,每周推出至少1场专业直播,不时共享科研干货,入群即可获得100份SCI写作攻略!, beContent=null, objectType=article, channel=null, level=null, likeNumber=109, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=104233, encryptionId=d55f104233bd, topicName=梅斯医学科研互助群)], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20210413/08ec7710e47c4f6dba6c277207bf00ec/823f09e953ea44188e56b38cd2f16334.jpg, createdBy=ec565230154, createdName=first smile, createdTime=Mon Apr 12 22:44:58 CST 2021, time=2021-04-12, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1032870, encodeId=924310328e039, content=谢谢梅斯提供这么好的信息,学到很多, beContent=null, objectType=article, channel=null, level=null, likeNumber=77, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=内科新手, createdTime=Mon Apr 12 21:43:36 CST 2021, time=2021-04-12, status=1, ipAttribution=)]
    2021-04-13 ms5000000000121449

    学习了

    0

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    2021-04-12 first smile

    三人行,必有我师。 #梅斯医学科研互助群# 欢迎您的加入,添加【梅斯医学科研助手**:medsci_2021】邀您进群! 【社群简介】👉 梅斯医学目前已建立覆盖肿瘤、心血管、神经、消化、内分泌、呼吸等30个科室的学习交流社群。 【入群福利】👉 群内可实时交流病例,提问同行,跨群讨论,每天更新前沿医学资讯和指南共识,每周推出至少1场专业直播,不时共享科研干货,入群即可获得100份SCI写作攻略!

    0

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    2021-04-12 内科新手

    谢谢梅斯提供这么好的信息,学到很多

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Radiology:深度学习算法在钼靶乳腺癌筛查检测中的应用

研究表明,与医师相比,DL算法作为单个医师的性能并不差。结果很有希望,深度学习算法可以在保持相同阅读标准的情况下取代双重阅读程序中的一个医师,并有可能通过检测不同的癌症来提高癌症的早期检测。

乳腺癌Nottingham组织学分级系统(Nottingham Grading System,NGS)

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本研究选择9种机器学习算法探索建立有效的预测模型,并对模型评估对比,寻找更适合构建乳腺癌骨转移预测模型的方法。

【论著】| Circ-0007766作为miR-1972海绵调控HER2表达促进乳腺癌细胞迁移和侵袭

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早期乳腺癌术后MRD监测早期识别复发,阳性预测值100%

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