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Pediatric Sarcomas: The Next Generation of Molecular Studies
SIMPLE SUMMARY: There has been an incredible amount of discovery in pediatric sarcomas, but much remains to be accomplished. Clinical challenges include diagnostic heterogeneity and the poor outcome of patients with high risk, metastatic, and relapsed disease. The emergence of single cell sequencing...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139929/ https://www.ncbi.nlm.nih.gov/pubmed/35626119 http://dx.doi.org/10.3390/cancers14102515 |
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author | Giannikopoulos, Petros Parham, David M. |
author_facet | Giannikopoulos, Petros Parham, David M. |
author_sort | Giannikopoulos, Petros |
collection | PubMed |
description | SIMPLE SUMMARY: There has been an incredible amount of discovery in pediatric sarcomas, but much remains to be accomplished. Clinical challenges include diagnostic heterogeneity and the poor outcome of patients with high risk, metastatic, and relapsed disease. The emergence of single cell sequencing has allowed the ability to document tumor cell heterogeneity in amazing detail, but it does not allow the ability to visualize spatial orientation. This problem has been solved by spatial multi-omics, which can be used to map tumors and visualize the distribution of critical transcripts, mutations, and proteins. However, these tools only offer observational data. High-throughput functional genomics provides a powerful way to highlight oncogenic drivers and potential therapy opportunities. Research has been hamstrung by a need for annotated specimens, particularly in post-therapy, relapsed, and metastatic disease, and initial biopsies offer only limited data opportunities. Data complexity, variability, and inconsistency present problems best approached with AI/machine learning. We stand on the threshold of a revolution in cancer cell biology that has the potential for translation into more effective and more directed therapies, particularly for previously recalcitrant diseases. ABSTRACT: Pediatric sarcomas constitute one of the largest groups of childhood cancers, following hematopoietic, neural, and renal lesions. Partly because of their diversity, they continue to offer challenges in diagnosis and treatment. In spite of the diagnostic, nosologic, and therapeutic gains made with genetic technology, newer means for investigation are needed. This article reviews emerging technology being used to study human neoplasia and how these methods might be applicable to pediatric sarcomas. Methods reviewed include single cell RNA sequencing (scRNAseq), spatial multi-omics, high-throughput functional genomics, and clustered regularly interspersed short palindromic sequence-Cas9 (CRISPR-Cas9) technology. In spite of these advances, the field continues to be challenged by a dearth of properly annotated materials, particularly from recurrences and metastases and pre- and post-treatment samples. |
format | Online Article Text |
id | pubmed-9139929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91399292022-05-28 Pediatric Sarcomas: The Next Generation of Molecular Studies Giannikopoulos, Petros Parham, David M. Cancers (Basel) Review SIMPLE SUMMARY: There has been an incredible amount of discovery in pediatric sarcomas, but much remains to be accomplished. Clinical challenges include diagnostic heterogeneity and the poor outcome of patients with high risk, metastatic, and relapsed disease. The emergence of single cell sequencing has allowed the ability to document tumor cell heterogeneity in amazing detail, but it does not allow the ability to visualize spatial orientation. This problem has been solved by spatial multi-omics, which can be used to map tumors and visualize the distribution of critical transcripts, mutations, and proteins. However, these tools only offer observational data. High-throughput functional genomics provides a powerful way to highlight oncogenic drivers and potential therapy opportunities. Research has been hamstrung by a need for annotated specimens, particularly in post-therapy, relapsed, and metastatic disease, and initial biopsies offer only limited data opportunities. Data complexity, variability, and inconsistency present problems best approached with AI/machine learning. We stand on the threshold of a revolution in cancer cell biology that has the potential for translation into more effective and more directed therapies, particularly for previously recalcitrant diseases. ABSTRACT: Pediatric sarcomas constitute one of the largest groups of childhood cancers, following hematopoietic, neural, and renal lesions. Partly because of their diversity, they continue to offer challenges in diagnosis and treatment. In spite of the diagnostic, nosologic, and therapeutic gains made with genetic technology, newer means for investigation are needed. This article reviews emerging technology being used to study human neoplasia and how these methods might be applicable to pediatric sarcomas. Methods reviewed include single cell RNA sequencing (scRNAseq), spatial multi-omics, high-throughput functional genomics, and clustered regularly interspersed short palindromic sequence-Cas9 (CRISPR-Cas9) technology. In spite of these advances, the field continues to be challenged by a dearth of properly annotated materials, particularly from recurrences and metastases and pre- and post-treatment samples. MDPI 2022-05-20 /pmc/articles/PMC9139929/ /pubmed/35626119 http://dx.doi.org/10.3390/cancers14102515 Text en © 2022 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 Giannikopoulos, Petros Parham, David M. Pediatric Sarcomas: The Next Generation of Molecular Studies |
title | Pediatric Sarcomas: The Next Generation of Molecular Studies |
title_full | Pediatric Sarcomas: The Next Generation of Molecular Studies |
title_fullStr | Pediatric Sarcomas: The Next Generation of Molecular Studies |
title_full_unstemmed | Pediatric Sarcomas: The Next Generation of Molecular Studies |
title_short | Pediatric Sarcomas: The Next Generation of Molecular Studies |
title_sort | pediatric sarcomas: the next generation of molecular studies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139929/ https://www.ncbi.nlm.nih.gov/pubmed/35626119 http://dx.doi.org/10.3390/cancers14102515 |
work_keys_str_mv | AT giannikopoulospetros pediatricsarcomasthenextgenerationofmolecularstudies AT parhamdavidm pediatricsarcomasthenextgenerationofmolecularstudies |