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Cancer Risk and Mutational Patterns Following Organ Transplantation

The rapid development of medical technology and widespread application of immunosuppressive drugs have improved the success rate of organ transplantation significantly. However, the use of immunosuppressive agents increases the frequency of malignancy greatly. With the prospect of “precision medicin...

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Detalles Bibliográficos
Autores principales: Shen, Yangyang, Lian, Di, Shi, Kai, Gao, Yuefeng, Hu, Xiaoxiang, Yu, Kun, Zhao, Qian, Feng, Chungang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274140/
https://www.ncbi.nlm.nih.gov/pubmed/35837331
http://dx.doi.org/10.3389/fcell.2022.956334
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author Shen, Yangyang
Lian, Di
Shi, Kai
Gao, Yuefeng
Hu, Xiaoxiang
Yu, Kun
Zhao, Qian
Feng, Chungang
author_facet Shen, Yangyang
Lian, Di
Shi, Kai
Gao, Yuefeng
Hu, Xiaoxiang
Yu, Kun
Zhao, Qian
Feng, Chungang
author_sort Shen, Yangyang
collection PubMed
description The rapid development of medical technology and widespread application of immunosuppressive drugs have improved the success rate of organ transplantation significantly. However, the use of immunosuppressive agents increases the frequency of malignancy greatly. With the prospect of “precision medicine” for tumors and development of next-generation sequencing technology, more attention has been paid to the application of high-throughput sequencing technology in clinical oncology research, which is mainly applied to the early diagnosis of tumors and analysis of tumor-related genes. All generations of cancers carry somatic mutations, meanwhile, significant differences were observed in mutational signatures across tumors. Systematic sequencing of cancer genomes from patients after organ transplantation can reveal DNA damage and repair processes in exposed cancer cells and their precursors. In this review, we summarize the application of high-throughput sequencing and organoids in the field of organ transplantation, the mutational patterns of cancer genomes, and propose a new research strategy for understanding the mechanism of cancer following organ transplantation.
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spelling pubmed-92741402022-07-13 Cancer Risk and Mutational Patterns Following Organ Transplantation Shen, Yangyang Lian, Di Shi, Kai Gao, Yuefeng Hu, Xiaoxiang Yu, Kun Zhao, Qian Feng, Chungang Front Cell Dev Biol Cell and Developmental Biology The rapid development of medical technology and widespread application of immunosuppressive drugs have improved the success rate of organ transplantation significantly. However, the use of immunosuppressive agents increases the frequency of malignancy greatly. With the prospect of “precision medicine” for tumors and development of next-generation sequencing technology, more attention has been paid to the application of high-throughput sequencing technology in clinical oncology research, which is mainly applied to the early diagnosis of tumors and analysis of tumor-related genes. All generations of cancers carry somatic mutations, meanwhile, significant differences were observed in mutational signatures across tumors. Systematic sequencing of cancer genomes from patients after organ transplantation can reveal DNA damage and repair processes in exposed cancer cells and their precursors. In this review, we summarize the application of high-throughput sequencing and organoids in the field of organ transplantation, the mutational patterns of cancer genomes, and propose a new research strategy for understanding the mechanism of cancer following organ transplantation. Frontiers Media S.A. 2022-06-28 /pmc/articles/PMC9274140/ /pubmed/35837331 http://dx.doi.org/10.3389/fcell.2022.956334 Text en Copyright © 2022 Shen, Lian, Shi, Gao, Hu, Yu, Zhao and Feng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Shen, Yangyang
Lian, Di
Shi, Kai
Gao, Yuefeng
Hu, Xiaoxiang
Yu, Kun
Zhao, Qian
Feng, Chungang
Cancer Risk and Mutational Patterns Following Organ Transplantation
title Cancer Risk and Mutational Patterns Following Organ Transplantation
title_full Cancer Risk and Mutational Patterns Following Organ Transplantation
title_fullStr Cancer Risk and Mutational Patterns Following Organ Transplantation
title_full_unstemmed Cancer Risk and Mutational Patterns Following Organ Transplantation
title_short Cancer Risk and Mutational Patterns Following Organ Transplantation
title_sort cancer risk and mutational patterns following organ transplantation
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9274140/
https://www.ncbi.nlm.nih.gov/pubmed/35837331
http://dx.doi.org/10.3389/fcell.2022.956334
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