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Identification of MicroRNA–mRNA Networks in Melanoma and Their Association with PD-1 Checkpoint Blockade Outcomes

SIMPLE SUMMARY: We conducted a network analysis of microRNA–mRNA associations in melanoma tissue and cell lines to identify the microRNAs central to melanoma biology and their associated gene expression profiles. Further, we evaluated expression of these microRNAs in melanoma patient biopsies and fo...

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Autores principales: Sloane, Robert A. Szczepaniak, White, Michael G., Witt, Russell G., Banerjee, Anik, Davies, Michael A., Han, Guangchun, Burton, Elizabeth, Ajami, Nadim, Simon, Julie M., Bernatchez, Chantale, Haydu, Lauren E., Tawbi, Hussein A., Gershenwald, Jeffrey E., Keung, Emily, Ross, Merrick, McQuade, Jennifer, Amaria, Rodabe N., Wani, Khalida, Lazar, Alexander J., Woodman, Scott E., Wang, Linghua, Andrews, Miles C., Wargo, Jennifer A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582574/
https://www.ncbi.nlm.nih.gov/pubmed/34771465
http://dx.doi.org/10.3390/cancers13215301
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author Sloane, Robert A. Szczepaniak
White, Michael G.
Witt, Russell G.
Banerjee, Anik
Davies, Michael A.
Han, Guangchun
Burton, Elizabeth
Ajami, Nadim
Simon, Julie M.
Bernatchez, Chantale
Haydu, Lauren E.
Tawbi, Hussein A.
Gershenwald, Jeffrey E.
Keung, Emily
Ross, Merrick
McQuade, Jennifer
Amaria, Rodabe N.
Wani, Khalida
Lazar, Alexander J.
Woodman, Scott E.
Wang, Linghua
Andrews, Miles C.
Wargo, Jennifer A.
author_facet Sloane, Robert A. Szczepaniak
White, Michael G.
Witt, Russell G.
Banerjee, Anik
Davies, Michael A.
Han, Guangchun
Burton, Elizabeth
Ajami, Nadim
Simon, Julie M.
Bernatchez, Chantale
Haydu, Lauren E.
Tawbi, Hussein A.
Gershenwald, Jeffrey E.
Keung, Emily
Ross, Merrick
McQuade, Jennifer
Amaria, Rodabe N.
Wani, Khalida
Lazar, Alexander J.
Woodman, Scott E.
Wang, Linghua
Andrews, Miles C.
Wargo, Jennifer A.
author_sort Sloane, Robert A. Szczepaniak
collection PubMed
description SIMPLE SUMMARY: We conducted a network analysis of microRNA–mRNA associations in melanoma tissue and cell lines to identify the microRNAs central to melanoma biology and their associated gene expression profiles. Further, we evaluated expression of these microRNAs in melanoma patient biopsies and found that increased expression of miR-100-5p and miR-125b-5p were associated with improved outcomes with anti-PD-1 immunotherapy. Further investigation of these microRNAs as biomarkers and potential targets to improve immunotherapy response in melanoma is warranted. ABSTRACT: Metastatic melanoma is a deadly malignancy with poor outcomes historically. Immuno-oncology (IO) agents, targeting immune checkpoint molecules such as cytotoxic T-lymphocyte associated protein-4 (CTLA-4) and programmed cell death-1 (PD-1), have revolutionized melanoma treatment and outcomes, achieving significant response rates and remarkable long-term survival. Despite these vast improvements, roughly half of melanoma patients do not achieve long-term clinical benefit from IO therapies and there is an urgent need to understand and mitigate mechanisms of resistance. MicroRNAs are key post-transcriptional regulators of gene expression that regulate many aspects of cancer biology, including immune evasion. We used network analysis to define two core microRNA–mRNA networks in melanoma tissues and cell lines corresponding to ‘MITF-low’ and ‘Keratin’ transcriptomic subsets of melanoma. We then evaluated expression of these core microRNAs in pre-PD-1-inhibitor-treated melanoma patients and observed that higher expression of miR-100-5p and miR-125b-5p were associated with significantly improved overall survival. These findings suggest that miR-100-5p and 125b-5p are potential markers of response to PD-1 inhibitors, and further evaluation of these microRNA–mRNA interactions may yield further insight into melanoma resistance to PD-1 inhibitors.
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spelling pubmed-85825742021-11-12 Identification of MicroRNA–mRNA Networks in Melanoma and Their Association with PD-1 Checkpoint Blockade Outcomes Sloane, Robert A. Szczepaniak White, Michael G. Witt, Russell G. Banerjee, Anik Davies, Michael A. Han, Guangchun Burton, Elizabeth Ajami, Nadim Simon, Julie M. Bernatchez, Chantale Haydu, Lauren E. Tawbi, Hussein A. Gershenwald, Jeffrey E. Keung, Emily Ross, Merrick McQuade, Jennifer Amaria, Rodabe N. Wani, Khalida Lazar, Alexander J. Woodman, Scott E. Wang, Linghua Andrews, Miles C. Wargo, Jennifer A. Cancers (Basel) Article SIMPLE SUMMARY: We conducted a network analysis of microRNA–mRNA associations in melanoma tissue and cell lines to identify the microRNAs central to melanoma biology and their associated gene expression profiles. Further, we evaluated expression of these microRNAs in melanoma patient biopsies and found that increased expression of miR-100-5p and miR-125b-5p were associated with improved outcomes with anti-PD-1 immunotherapy. Further investigation of these microRNAs as biomarkers and potential targets to improve immunotherapy response in melanoma is warranted. ABSTRACT: Metastatic melanoma is a deadly malignancy with poor outcomes historically. Immuno-oncology (IO) agents, targeting immune checkpoint molecules such as cytotoxic T-lymphocyte associated protein-4 (CTLA-4) and programmed cell death-1 (PD-1), have revolutionized melanoma treatment and outcomes, achieving significant response rates and remarkable long-term survival. Despite these vast improvements, roughly half of melanoma patients do not achieve long-term clinical benefit from IO therapies and there is an urgent need to understand and mitigate mechanisms of resistance. MicroRNAs are key post-transcriptional regulators of gene expression that regulate many aspects of cancer biology, including immune evasion. We used network analysis to define two core microRNA–mRNA networks in melanoma tissues and cell lines corresponding to ‘MITF-low’ and ‘Keratin’ transcriptomic subsets of melanoma. We then evaluated expression of these core microRNAs in pre-PD-1-inhibitor-treated melanoma patients and observed that higher expression of miR-100-5p and miR-125b-5p were associated with significantly improved overall survival. These findings suggest that miR-100-5p and 125b-5p are potential markers of response to PD-1 inhibitors, and further evaluation of these microRNA–mRNA interactions may yield further insight into melanoma resistance to PD-1 inhibitors. MDPI 2021-10-22 /pmc/articles/PMC8582574/ /pubmed/34771465 http://dx.doi.org/10.3390/cancers13215301 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sloane, Robert A. Szczepaniak
White, Michael G.
Witt, Russell G.
Banerjee, Anik
Davies, Michael A.
Han, Guangchun
Burton, Elizabeth
Ajami, Nadim
Simon, Julie M.
Bernatchez, Chantale
Haydu, Lauren E.
Tawbi, Hussein A.
Gershenwald, Jeffrey E.
Keung, Emily
Ross, Merrick
McQuade, Jennifer
Amaria, Rodabe N.
Wani, Khalida
Lazar, Alexander J.
Woodman, Scott E.
Wang, Linghua
Andrews, Miles C.
Wargo, Jennifer A.
Identification of MicroRNA–mRNA Networks in Melanoma and Their Association with PD-1 Checkpoint Blockade Outcomes
title Identification of MicroRNA–mRNA Networks in Melanoma and Their Association with PD-1 Checkpoint Blockade Outcomes
title_full Identification of MicroRNA–mRNA Networks in Melanoma and Their Association with PD-1 Checkpoint Blockade Outcomes
title_fullStr Identification of MicroRNA–mRNA Networks in Melanoma and Their Association with PD-1 Checkpoint Blockade Outcomes
title_full_unstemmed Identification of MicroRNA–mRNA Networks in Melanoma and Their Association with PD-1 Checkpoint Blockade Outcomes
title_short Identification of MicroRNA–mRNA Networks in Melanoma and Their Association with PD-1 Checkpoint Blockade Outcomes
title_sort identification of microrna–mrna networks in melanoma and their association with pd-1 checkpoint blockade outcomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582574/
https://www.ncbi.nlm.nih.gov/pubmed/34771465
http://dx.doi.org/10.3390/cancers13215301
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