Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.
Department of Medicine, Baylor College of Medicine, Houston, Texas.
Cancer Res Commun. 2023 Jul 26;3(7):1366-1377. doi: 10.1158/2767-9764.CRC-23-0044. eCollection 2023 Jul.
NF1 is a key tumor suppressor that represses both RAS and estrogen receptor-α (ER) signaling in breast cancer. Blocking both pathways by fulvestrant (F), a selective ER degrader, together with binimetinib (B), a MEK inhibitor, promotes tumor regression in NF1-depleted ER models. We aimed to establish approaches to determine how NF1 protein levels impact B+F treatment response to improve our ability to identify B+F sensitive tumors. We examined a panel of ER patient-derived xenograft (PDX) models by DNA and mRNA sequencing and found that more than half of these models carried an shallow deletion and generally have low mRNA levels. Consistent with RAS and ER activation, RET and MEK levels in NF1-depleted tumors were elevated when profiled by mass spectrometry (MS) after kinase inhibitor bead pulldown. MS showed that NF1 can also directly and selectively bind to palbociclib-conjugated beads, aiding quantification. An IHC assay was also established to measure NF1, but the MS-based approach was more quantitative. Combined IHC and MS analysis defined a threshold of NF1 protein loss in ER breast PDX, below which tumors regressed upon treatment with B+F. These results suggest that we now have a MS-verified NF1 IHC assay that can be used for patient selection as a complement to somatic genomic analysis.
A major challenge for targeting the consequence of tumor suppressor disruption is the accurate assessment of protein functional inactivation. NF1 can repress both RAS and ER signaling, and a ComboMATCH trial is underway to treat the patients with binimetinib and fulvestrant. Herein we report a MS-verified NF1 IHC assay that can determine a threshold for NF1 loss to predict treatment response. These approaches may be used to identify and expand the eligible patient population.
NF1 是一种关键的肿瘤抑制因子,可抑制乳腺癌中的 RAS 和雌激素受体-α(ER)信号。通过氟维司群(F)——一种选择性 ER 降解剂,与 MEK 抑制剂比美替尼(B)联合阻断这两条通路,可促进 NF1 耗尽的 ER 模型中的肿瘤消退。我们旨在建立方法来确定 NF1 蛋白水平如何影响 B+F 治疗反应,以提高我们识别 B+F 敏感肿瘤的能力。我们通过 DNA 和 mRNA 测序检查了一组 ER 患者衍生的异种移植(PDX)模型,发现这些模型中的一半以上携带浅层缺失,并且通常 mRNA 水平较低。与 RAS 和 ER 激活一致,在用激酶抑制剂珠下拉后通过质谱(MS)对 NF1 耗尽的肿瘤进行分析时,发现 RET 和 MEK 水平升高。MS 表明 NF1 还可以直接和选择性地与帕博西尼缀合珠结合,有助于定量。还建立了一种 IHC 测定法来测量 NF1,但基于 MS 的方法更具定量性。联合 IHC 和 MS 分析定义了 ER 乳腺 PDX 中 NF1 蛋白丢失的阈值,低于该阈值,肿瘤在接受 B+F 治疗后会消退。这些结果表明,我们现在有了一种经过 MS 验证的 NF1 IHC 测定法,可作为体细胞基因组分析的补充用于患者选择。
靶向肿瘤抑制因子破坏后果的主要挑战是准确评估蛋白质功能失活。NF1 可抑制 RAS 和 ER 信号,一项 ComboMATCH 试验正在进行中,以用比美替尼和氟维司群治疗这些患者。在此,我们报告了一种经过 MS 验证的 NF1 IHC 测定法,可确定 NF1 缺失的阈值来预测治疗反应。这些方法可用于识别和扩大合格的患者群体。