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Proteogenomic Approaches for the Identification of NF1/Neurofibromin-depleted Estrogen Receptor-positive Breast
Beom-Jun Kim1,2, Ze-Yi Zheng1,2, Jonathan T Lei1
1Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, Texas.
Abstract:
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 NF1 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.
Significance:
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.
Insights
A new assay measures Neurofibromatosis type 1 (NF1) protein loss, predicting response to combined MEK and estrogen receptor therapies in breast cancer. This method aids in selecting patients for targeted treatments.
Area of Science:
- Oncology
- Molecular Biology
- Biochemistry
Background:
- Neurofibromatosis type 1 (NF1) is a tumor suppressor inhibiting RAS and estrogen receptor-α (ER) signaling in breast cancer.
- Loss of NF1 function leads to RAS and ER pathway activation, driving tumor growth.
- Targeting both RAS and ER pathways with binimetinib (B) and fulvestrant (F) promotes tumor regression in NF1-depleted models.
Purpose of the Study:
- To develop and validate methods for assessing NF1 protein levels to predict response to B+F therapy.
- To identify a threshold of NF1 protein loss indicative of sensitivity to B+F treatment.
- To improve patient selection for clinical trials targeting NF1-deficient breast cancer.
Main Methods:
- Analysis of ER+ patient-derived xenograft (PDX) models using DNA/mRNA sequencing to identify NF1 alterations.
- Mass spectrometry (MS) to quantify RAS, RET, and MEK pathway activation and NF1 protein binding.
- Development and validation of an immunohistochemistry (IHC) assay for NF1 protein measurement.
- Correlation of NF1 protein levels with tumor response to B+F treatment.
Main Results:
- Over half of ER+ PDX models exhibited NF1 shallow deletions and low mRNA levels.
- NF1-depleted tumors showed elevated RET and MEK levels, consistent with RAS pathway activation.
- An MS-verified NF1 IHC assay was established, defining a threshold for NF1 protein loss.
- Tumors with NF1 protein loss below this threshold showed significant regression upon B+F treatment.
Conclusions:
- A validated NF1 IHC assay, complemented by MS, can quantitatively assess NF1 protein loss.
- This assay can identify ER+ breast cancer patients likely to respond to combined binimetinib and fulvestrant therapy.
- The assay serves as a tool for patient selection in clinical trials, potentially expanding eligibility for targeted treatments.
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