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Ovarian Cancer Immunotherapy and Personalized Medicine

Ovarian cancer response to immunotherapy is limited; however, the evaluation of sensitive/resistant target treatment subpopulations based on stratification by tumor biomarkers may improve the predictiveness of response to immunotherapy. These markers include tumor mutation burden, PD-L1, tumor-infil...

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Detalles Bibliográficos
Autores principales: Morand, Susan, Devanaboyina, Monika, Staats, Hannah, Stanbery, Laura, Nemunaitis, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234871/
https://www.ncbi.nlm.nih.gov/pubmed/34207103
http://dx.doi.org/10.3390/ijms22126532
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author Morand, Susan
Devanaboyina, Monika
Staats, Hannah
Stanbery, Laura
Nemunaitis, John
author_facet Morand, Susan
Devanaboyina, Monika
Staats, Hannah
Stanbery, Laura
Nemunaitis, John
author_sort Morand, Susan
collection PubMed
description Ovarian cancer response to immunotherapy is limited; however, the evaluation of sensitive/resistant target treatment subpopulations based on stratification by tumor biomarkers may improve the predictiveness of response to immunotherapy. These markers include tumor mutation burden, PD-L1, tumor-infiltrating lymphocytes, homologous recombination deficiency, and neoantigen intratumoral heterogeneity. Future directions in the treatment of ovarian cancer include the utilization of these biomarkers to select ideal candidates. This paper reviews the role of immunotherapy in ovarian cancer as well as novel therapeutics and study designs involving tumor biomarkers that increase the likelihood of success with immunotherapy in ovarian cancer.
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spelling pubmed-82348712021-06-27 Ovarian Cancer Immunotherapy and Personalized Medicine Morand, Susan Devanaboyina, Monika Staats, Hannah Stanbery, Laura Nemunaitis, John Int J Mol Sci Review Ovarian cancer response to immunotherapy is limited; however, the evaluation of sensitive/resistant target treatment subpopulations based on stratification by tumor biomarkers may improve the predictiveness of response to immunotherapy. These markers include tumor mutation burden, PD-L1, tumor-infiltrating lymphocytes, homologous recombination deficiency, and neoantigen intratumoral heterogeneity. Future directions in the treatment of ovarian cancer include the utilization of these biomarkers to select ideal candidates. This paper reviews the role of immunotherapy in ovarian cancer as well as novel therapeutics and study designs involving tumor biomarkers that increase the likelihood of success with immunotherapy in ovarian cancer. MDPI 2021-06-18 /pmc/articles/PMC8234871/ /pubmed/34207103 http://dx.doi.org/10.3390/ijms22126532 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 Review
Morand, Susan
Devanaboyina, Monika
Staats, Hannah
Stanbery, Laura
Nemunaitis, John
Ovarian Cancer Immunotherapy and Personalized Medicine
title Ovarian Cancer Immunotherapy and Personalized Medicine
title_full Ovarian Cancer Immunotherapy and Personalized Medicine
title_fullStr Ovarian Cancer Immunotherapy and Personalized Medicine
title_full_unstemmed Ovarian Cancer Immunotherapy and Personalized Medicine
title_short Ovarian Cancer Immunotherapy and Personalized Medicine
title_sort ovarian cancer immunotherapy and personalized medicine
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8234871/
https://www.ncbi.nlm.nih.gov/pubmed/34207103
http://dx.doi.org/10.3390/ijms22126532
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AT devanaboyinamonika ovariancancerimmunotherapyandpersonalizedmedicine
AT staatshannah ovariancancerimmunotherapyandpersonalizedmedicine
AT stanberylaura ovariancancerimmunotherapyandpersonalizedmedicine
AT nemunaitisjohn ovariancancerimmunotherapyandpersonalizedmedicine