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Shifting Gears in Precision Oncology—Challenges and Opportunities of Integrative Data Analysis

For decades, research relating to modification of host immunity towards antitumor response activation has been ongoing, with the breakthrough discovery of immune-checkpoint blockers. Several biomarkers with potential predictive value have been reported in recent studies for these novel therapies. Ho...

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Detalles Bibliográficos
Autores principales: Noh, Ka-Won, Buettner, Reinhard, Klein, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465238/
https://www.ncbi.nlm.nih.gov/pubmed/34572523
http://dx.doi.org/10.3390/biom11091310
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author Noh, Ka-Won
Buettner, Reinhard
Klein, Sebastian
author_facet Noh, Ka-Won
Buettner, Reinhard
Klein, Sebastian
author_sort Noh, Ka-Won
collection PubMed
description For decades, research relating to modification of host immunity towards antitumor response activation has been ongoing, with the breakthrough discovery of immune-checkpoint blockers. Several biomarkers with potential predictive value have been reported in recent studies for these novel therapies. However, with the plethora of therapeutic options existing for a given cancer entity, modern oncology is now being confronted with multifactorial interpretation to devise “the best therapy” for the individual patient. Into the bargain come the multiverse guidelines for established and emerging diagnostic biomarkers, as well as the complex interplay between cancer cells and tumor microenvironment, provoking immense challenges in the therapy decision-making process. Through this review, we present various molecular diagnostic modalities and techniques, such as genomics, immunohistochemistry and quantitative image analysis, which have the potential of becoming powerful tools in the development of an optimal treatment regime when analogized with patient characteristics. We will summarize the underlying complexities of these methods and shed light upon the necessary considerations and requirements for data integration. It is our hope to provide compelling evidence to emphasize on the need for inclusion of integrative data analysis in modern cancer therapy, and thereupon paving a path towards precision medicine and better patient outcomes.
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spelling pubmed-84652382021-09-27 Shifting Gears in Precision Oncology—Challenges and Opportunities of Integrative Data Analysis Noh, Ka-Won Buettner, Reinhard Klein, Sebastian Biomolecules Review For decades, research relating to modification of host immunity towards antitumor response activation has been ongoing, with the breakthrough discovery of immune-checkpoint blockers. Several biomarkers with potential predictive value have been reported in recent studies for these novel therapies. However, with the plethora of therapeutic options existing for a given cancer entity, modern oncology is now being confronted with multifactorial interpretation to devise “the best therapy” for the individual patient. Into the bargain come the multiverse guidelines for established and emerging diagnostic biomarkers, as well as the complex interplay between cancer cells and tumor microenvironment, provoking immense challenges in the therapy decision-making process. Through this review, we present various molecular diagnostic modalities and techniques, such as genomics, immunohistochemistry and quantitative image analysis, which have the potential of becoming powerful tools in the development of an optimal treatment regime when analogized with patient characteristics. We will summarize the underlying complexities of these methods and shed light upon the necessary considerations and requirements for data integration. It is our hope to provide compelling evidence to emphasize on the need for inclusion of integrative data analysis in modern cancer therapy, and thereupon paving a path towards precision medicine and better patient outcomes. MDPI 2021-09-04 /pmc/articles/PMC8465238/ /pubmed/34572523 http://dx.doi.org/10.3390/biom11091310 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
Noh, Ka-Won
Buettner, Reinhard
Klein, Sebastian
Shifting Gears in Precision Oncology—Challenges and Opportunities of Integrative Data Analysis
title Shifting Gears in Precision Oncology—Challenges and Opportunities of Integrative Data Analysis
title_full Shifting Gears in Precision Oncology—Challenges and Opportunities of Integrative Data Analysis
title_fullStr Shifting Gears in Precision Oncology—Challenges and Opportunities of Integrative Data Analysis
title_full_unstemmed Shifting Gears in Precision Oncology—Challenges and Opportunities of Integrative Data Analysis
title_short Shifting Gears in Precision Oncology—Challenges and Opportunities of Integrative Data Analysis
title_sort shifting gears in precision oncology—challenges and opportunities of integrative data analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8465238/
https://www.ncbi.nlm.nih.gov/pubmed/34572523
http://dx.doi.org/10.3390/biom11091310
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