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Proteogenomic Approaches for the Identification of NF1/Neurofibromin-depleted Estrogen Receptor–positive Breast Cancers for Targeted Treatment
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 estab...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370361/ https://www.ncbi.nlm.nih.gov/pubmed/37501682 http://dx.doi.org/10.1158/2767-9764.CRC-23-0044 |
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author | Kim, Beom-Jun Zheng, Ze-Yi Lei, Jonathan T. Holt, Matthew V. Chen, Anran Peng, Jianheng Fandino, Diana Singh, Purba Kennedy, Hilda Dou, Yongchao Chica-Parrado, María del Rosario Bikorimana, Emmanuel Ye, Dan Wang, Yunguan Hanker, Ariella B. Mohamed, Nada Hilsenbeck, Susan G. Lim, Bora Asirvatham, Jaya Ruth Sreekumar, Arun Zhang, Bing Miles, George Anurag, Meenakshi Ellis, Matthew J. Chang, Eric C. |
author_facet | Kim, Beom-Jun Zheng, Ze-Yi Lei, Jonathan T. Holt, Matthew V. Chen, Anran Peng, Jianheng Fandino, Diana Singh, Purba Kennedy, Hilda Dou, Yongchao Chica-Parrado, María del Rosario Bikorimana, Emmanuel Ye, Dan Wang, Yunguan Hanker, Ariella B. Mohamed, Nada Hilsenbeck, Susan G. Lim, Bora Asirvatham, Jaya Ruth Sreekumar, Arun Zhang, Bing Miles, George Anurag, Meenakshi Ellis, Matthew J. Chang, Eric C. |
author_sort | Kim, Beom-Jun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10370361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-103703612023-07-27 Proteogenomic Approaches for the Identification of NF1/Neurofibromin-depleted Estrogen Receptor–positive Breast Cancers for Targeted Treatment Kim, Beom-Jun Zheng, Ze-Yi Lei, Jonathan T. Holt, Matthew V. Chen, Anran Peng, Jianheng Fandino, Diana Singh, Purba Kennedy, Hilda Dou, Yongchao Chica-Parrado, María del Rosario Bikorimana, Emmanuel Ye, Dan Wang, Yunguan Hanker, Ariella B. Mohamed, Nada Hilsenbeck, Susan G. Lim, Bora Asirvatham, Jaya Ruth Sreekumar, Arun Zhang, Bing Miles, George Anurag, Meenakshi Ellis, Matthew J. Chang, Eric C. Cancer Res Commun Research Article 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. American Association for Cancer Research 2023-07-26 /pmc/articles/PMC10370361/ /pubmed/37501682 http://dx.doi.org/10.1158/2767-9764.CRC-23-0044 Text en © 2023 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by/4.0/This open access article is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. |
spellingShingle | Research Article Kim, Beom-Jun Zheng, Ze-Yi Lei, Jonathan T. Holt, Matthew V. Chen, Anran Peng, Jianheng Fandino, Diana Singh, Purba Kennedy, Hilda Dou, Yongchao Chica-Parrado, María del Rosario Bikorimana, Emmanuel Ye, Dan Wang, Yunguan Hanker, Ariella B. Mohamed, Nada Hilsenbeck, Susan G. Lim, Bora Asirvatham, Jaya Ruth Sreekumar, Arun Zhang, Bing Miles, George Anurag, Meenakshi Ellis, Matthew J. Chang, Eric C. Proteogenomic Approaches for the Identification of NF1/Neurofibromin-depleted Estrogen Receptor–positive Breast Cancers for Targeted Treatment |
title | Proteogenomic Approaches for the Identification of NF1/Neurofibromin-depleted Estrogen Receptor–positive Breast Cancers for Targeted Treatment |
title_full | Proteogenomic Approaches for the Identification of NF1/Neurofibromin-depleted Estrogen Receptor–positive Breast Cancers for Targeted Treatment |
title_fullStr | Proteogenomic Approaches for the Identification of NF1/Neurofibromin-depleted Estrogen Receptor–positive Breast Cancers for Targeted Treatment |
title_full_unstemmed | Proteogenomic Approaches for the Identification of NF1/Neurofibromin-depleted Estrogen Receptor–positive Breast Cancers for Targeted Treatment |
title_short | Proteogenomic Approaches for the Identification of NF1/Neurofibromin-depleted Estrogen Receptor–positive Breast Cancers for Targeted Treatment |
title_sort | proteogenomic approaches for the identification of nf1/neurofibromin-depleted estrogen receptor–positive breast cancers for targeted treatment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370361/ https://www.ncbi.nlm.nih.gov/pubmed/37501682 http://dx.doi.org/10.1158/2767-9764.CRC-23-0044 |
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