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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8465238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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