Suppr超能文献

HER2检测用于管理乳腺癌或其他实体瘤患者。

HER2 testing to manage patients with breast cancer or other solid tumors.

作者信息

Seidenfeld Jerome, Samsom David J, Rothenberg Barbara M, Bonnell Claudia J, Ziegler Kathleen M, Aronson Naomi

出版信息

Evid Rep Technol Assess (Full Rep). 2008 Nov(172):1-362.

Abstract

OBJECTIVES

Systematic review of trastuzumab outcomes among breast cancer patients who have negative, equivocal, or discordant HER2 assay results; use of HER2 assay results to predict outcomes of chemotherapy or hormonal therapy regimen for breast cancer; use of serum HER2 to monitor treatment response or disease progression in breast cancer patients; and use of HER2 testing to manage patients with lung, ovarian, prostate, or head and neck tumors. Also, narrative review of concordance of HER2 assays.

DATA SOURCES

We abstracted data from: three articles plus one conference abstract on negative, equivocal, or discordant HER2 results; 26 studies on selection of chemotherapy or hormonal therapy; 15 studies on serum HER2; and 26 studies on ovarian, lung, prostate, or head and neck tumors. Foreign-language studies were included.

REVIEW METHODS

We sought randomized trials or single-arm series (prospective or retrospective) of identically treated patients that presented relevant outcome data associated with HER2 status.

RESULTS

HER2 assay results are influenced by multiple biologic, technical, and performance factors. Many aspects of HER2 assays were standardized only recently, so inconsistencies confound the literature comparing different methods. The evidence is weak on outcomes of trastuzumab added to chemotherapy for HER2-equivocal, -discordant, or -negative patients. Evidence comparing chemotherapy outcomes in HER2-positive and HER2-negative patient subgroups may generate hypotheses, but is too weak to test hypotheses. Only a rigorous test can resolve whether HER2-positive patients (but not HER2-negative patients) benefit from an anthracycline regimen. Evidence is available only from uncontrolled series on whether HER2 status predicts complete pathologic response to neoadjuvant chemotherapy. Evidence also is weak regarding differences by HER2 status for outcomes of chemotherapy for advanced or metastatic disease; with most studies lacking statistical power. Data from studies of tamoxifen and aromatase inhibitors suggest that future studies should examine whether HER2 status predicts response to specific hormonal therapies among estrogen-receptor-positive patients. The evidence is weak on whether serum HER2 predicts outcome after treatment with any regimens in any setting, as is the evidence on use of serum or tissue HER2 testing for malignancies of lung, ovary, head and neck, or prostate.

CONCLUSIONS

Overall, few studies directly investigated the key questions of this systematic review. Going forward, cancer therapy trial protocols should incorporate elements to facilitate robust analyses of the use of HER2 status and other biomarkers for managing treatment.

摘要

目的

对人表皮生长因子受体2(HER2)检测结果为阴性、不确定或不一致的乳腺癌患者使用曲妥珠单抗的疗效进行系统评价;利用HER2检测结果预测乳腺癌化疗或激素治疗方案的疗效;利用血清HER2监测乳腺癌患者的治疗反应或疾病进展;以及利用HER2检测来管理肺癌、卵巢癌、前列腺癌或头颈肿瘤患者。此外,对HER2检测的一致性进行叙述性综述。

数据来源

我们从以下资料中提取数据:3篇文章加1篇关于HER2结果为阴性、不确定或不一致的会议摘要;26项关于化疗或激素治疗选择的研究;15项关于血清HER2的研究;以及26项关于卵巢癌、肺癌、前列腺癌或头颈肿瘤的研究。纳入了外语研究。

综述方法

我们检索了对相同治疗患者进行的随机试验或单臂系列研究(前瞻性或回顾性),这些研究提供了与HER2状态相关的相关结局数据。

结果

HER2检测结果受多种生物学、技术和操作因素影响。HER2检测的许多方面直到最近才标准化,因此不同方法比较的文献存在不一致性,混淆不清。对于HER2结果不确定、不一致或为阴性的患者,在化疗中加用曲妥珠单抗的疗效证据不足。比较HER2阳性和HER2阴性患者亚组化疗疗效的证据可能会产生假设,但不足以检验假设。只有通过严格的试验才能确定HER2阳性患者(而非HER2阴性患者)是否能从蒽环类药物方案中获益。关于HER2状态是否能预测新辅助化疗的完全病理缓解,仅有来自非对照系列研究的证据。关于HER2状态对晚期或转移性疾病化疗疗效差异的证据也不足;大多数研究缺乏统计学效力。他莫昔芬和芳香化酶抑制剂的研究数据表明,未来研究应探讨HER2状态是否能预测雌激素受体阳性患者对特定激素治疗的反应。血清HER2是否能预测任何治疗方案在任何情况下的治疗结局,以及血清或组织HER2检测在肺癌、卵巢癌、头颈癌或前列腺癌中的应用证据均不足。

结论

总体而言,很少有研究直接调查本系统评价的关键问题。展望未来,癌症治疗试验方案应纳入相关要素,以便对HER2状态和其他生物标志物在治疗管理中的应用进行有力分析。

相似文献

3
Systemic treatments for metastatic cutaneous melanoma.转移性皮肤黑色素瘤的全身治疗
Cochrane Database Syst Rev. 2018 Feb 6;2(2):CD011123. doi: 10.1002/14651858.CD011123.pub2.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验