Tonse Raees, Rubens Muni, Appel Haley, Tom Martin C, Hall Matthew D, Odia Yazmin, McDermott Michael W, Ahluwalia Manmeet S, Mehta Minesh P, Kotecha Rupesh
Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Office 1R203, Miami, FL, 33176, USA.
Office of Clinical Research, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA.
Discov Oncol. 2021 Nov 8;12(1):48. doi: 10.1007/s12672-021-00445-2.
Treatment paradigms for metastatic non-small cell lung cancer are increasingly based on biomarker-driven therapies, with the most common alteration being mutation in the epidermal growth factor receptor (EGFR). Change in expression of such biomarkers could have a profound impact on the choice and efficacy of a selected targeted therapeutic, and hence the objective of this study was to analyze discordance in EGFR status in patients with lung cancer brain metastasis (LCBM).
Using PRISMA guidelines, a systematic review was performed of series in the Medline database of biopsied or resected LCBM published before May, 2020. Key words included "lung cancer" and "brain metastasis" combined with "epidermal growth factor receptor/EGFR," and "receptor conversion/discordance or concordance." Weighted random effects models were used to calculate pooled estimates.
We identified 501 patients from 19 full-text articles for inclusion in this study. All patients underwent biopsy or resection of at least one intracranial lesion to compare to the primary tumor. On primary/LCBM comparison, the weighted pooled estimate for overall EGFR receptor discordance was 10% (95% CI 5-17%). The weighted effects model estimated a gain of an EGFR mutation in a brain metastases in patients with negative primary tumors was 7% (95% CI 4-12%). Alternatively, the weighted effects model estimate of loss of an EGFR mutation in patients with detected mutations in the primary tumor was also 7% (95% CI 4-10%). KRAS testing was also performed on both primary tumors and LCBM in a subset of 148 patients. The weighted effects estimate of KRAS-mutation discordance among LCBM compared to primary tumors was 13% (95% CI 5-27%). The weighted effects estimated of KRAS gain and loss in LCBM was 10% (95% CI 6-18%) and 8% (95% CI 4-15%), respectively. Meta-regression analysis did not find any association with any factors that could be associated with discordances.
EGFR and KRAS mutation status discordance between primary tumor and LCBM occurs in approximately 10% and 13% of patients, respectively. Evaluation of LCBM receptor status is key to biomarker-driven targeted therapy for intracranial disease and awareness of subtype switching is critical for those patients treated with systemic therapy alone for intracranial disease.
转移性非小细胞肺癌的治疗模式越来越多地基于生物标志物驱动的疗法,最常见的改变是表皮生长因子受体(EGFR)突变。此类生物标志物表达的变化可能对所选靶向治疗的选择和疗效产生深远影响,因此本研究的目的是分析肺癌脑转移(LCBM)患者EGFR状态的不一致性。
使用PRISMA指南,对2020年5月之前发表在Medline数据库中的活检或切除的LCBM系列进行系统评价。关键词包括“肺癌”和“脑转移”,并与“表皮生长因子受体/EGFR”以及“受体转换/不一致或一致”相结合。采用加权随机效应模型计算合并估计值。
我们从19篇全文文章中确定了501例患者纳入本研究。所有患者均接受了至少一个颅内病变的活检或切除,以便与原发肿瘤进行比较。在原发肿瘤/LCBM比较中,总体EGFR受体不一致的加权合并估计值为10%(95%CI 5-17%)。加权效应模型估计,原发肿瘤为阴性的患者脑转移中EGFR突变的增加率为7%(95%CI 4-12%)。或者,原发肿瘤检测到突变的患者中EGFR突变丢失的加权效应模型估计值也为7%(95%CI 4-10%)。还对148例患者的原发肿瘤和LCBM进行了KRAS检测。与原发肿瘤相比,LCBM中KRAS突变不一致的加权效应估计值为13%(95%CI 5-27%)。LCBM中KRAS增加和丢失的加权效应估计值分别为10%(95%CI 6-18%)和8%(95%CI 4-15%)。Meta回归分析未发现与任何可能与不一致相关的因素存在关联。
原发肿瘤与LCBM之间EGFR和KRAS突变状态的不一致分别发生在约10%和13%的患者中。评估LCBM受体状态是颅内疾病生物标志物驱动的靶向治疗的关键,对于仅接受颅内疾病全身治疗的患者,了解亚型转换至关重要。