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Clinical application of genomic profiling to find druggable targets for adolescent and young adult (AYA) cancer patients with metastasis

BACKGROUND: Although adolescent and young adult (AYA) cancers are characterized by biological features and clinical outcomes distinct from those of other age groups, the molecular profile of AYA cancers has not been well defined. In this study, we analyzed cancer genomes from rare types of metastati...

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Autores principales: Cha, Soojin, Lee, Jeongeun, Shin, Jong-Yeon, Kim, Ji-Yeon, Sim, Sung Hoon, Keam, Bhumsuk, Kim, Tae Min, Kim, Dong-Wan, Heo, Dae Seog, Lee, Se-Hoon, Kim, Jong-Il
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4772349/
https://www.ncbi.nlm.nih.gov/pubmed/26925973
http://dx.doi.org/10.1186/s12885-016-2209-1
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author Cha, Soojin
Lee, Jeongeun
Shin, Jong-Yeon
Kim, Ji-Yeon
Sim, Sung Hoon
Keam, Bhumsuk
Kim, Tae Min
Kim, Dong-Wan
Heo, Dae Seog
Lee, Se-Hoon
Kim, Jong-Il
author_facet Cha, Soojin
Lee, Jeongeun
Shin, Jong-Yeon
Kim, Ji-Yeon
Sim, Sung Hoon
Keam, Bhumsuk
Kim, Tae Min
Kim, Dong-Wan
Heo, Dae Seog
Lee, Se-Hoon
Kim, Jong-Il
author_sort Cha, Soojin
collection PubMed
description BACKGROUND: Although adolescent and young adult (AYA) cancers are characterized by biological features and clinical outcomes distinct from those of other age groups, the molecular profile of AYA cancers has not been well defined. In this study, we analyzed cancer genomes from rare types of metastatic AYA cancers to identify driving and/or druggable genetic alterations. METHODS: Prospectively collected AYA tumor samples from seven different patients were analyzed using three different genomics platforms (whole-exome sequencing, whole-transcriptome sequencing or OncoScan™). Using well-known bioinformatics tools (bwa, Picard, GATK, MuTect, and Somatic Indel Detector) and our annotation approach with open access databases (DAVID and DGIdb), we processed sequencing data and identified driving genetic alterations and their druggability. RESULTS: The mutation frequencies of AYA cancers were lower than those of other adult cancers (median = 0.56), except for a germ cell tumor with hypermutation. We identified patient-specific genetic alterations in candidate driving genes: RASA2 and NF1 (prostate cancer), TP53 and CDKN2C (olfactory neuroblastoma), FAT1, NOTCH1, and SMAD4 (head and neck cancer), KRAS (urachal carcinoma), EML4-ALK (lung cancer), and MDM2 and PTEN (liposarcoma). We then suggested potential drugs for each patient according to his or her altered genes and related pathways. By comparing candidate driving genes between AYA cancers and those from all age groups for the same type of cancer, we identified different driving genes in prostate cancer and a germ cell tumor in AYAs compared with all age groups, whereas three common alterations (TP53, FAT1, and NOTCH1) in head and neck cancer were identified in both groups. CONCLUSION: We identified the patient-specific genetic alterations and druggability of seven rare types of AYA cancers using three genomics platforms. Additionally, genetic alterations in cancers from AYA and those from all age groups varied by cancer type. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-016-2209-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-47723492016-03-02 Clinical application of genomic profiling to find druggable targets for adolescent and young adult (AYA) cancer patients with metastasis Cha, Soojin Lee, Jeongeun Shin, Jong-Yeon Kim, Ji-Yeon Sim, Sung Hoon Keam, Bhumsuk Kim, Tae Min Kim, Dong-Wan Heo, Dae Seog Lee, Se-Hoon Kim, Jong-Il BMC Cancer Research Article BACKGROUND: Although adolescent and young adult (AYA) cancers are characterized by biological features and clinical outcomes distinct from those of other age groups, the molecular profile of AYA cancers has not been well defined. In this study, we analyzed cancer genomes from rare types of metastatic AYA cancers to identify driving and/or druggable genetic alterations. METHODS: Prospectively collected AYA tumor samples from seven different patients were analyzed using three different genomics platforms (whole-exome sequencing, whole-transcriptome sequencing or OncoScan™). Using well-known bioinformatics tools (bwa, Picard, GATK, MuTect, and Somatic Indel Detector) and our annotation approach with open access databases (DAVID and DGIdb), we processed sequencing data and identified driving genetic alterations and their druggability. RESULTS: The mutation frequencies of AYA cancers were lower than those of other adult cancers (median = 0.56), except for a germ cell tumor with hypermutation. We identified patient-specific genetic alterations in candidate driving genes: RASA2 and NF1 (prostate cancer), TP53 and CDKN2C (olfactory neuroblastoma), FAT1, NOTCH1, and SMAD4 (head and neck cancer), KRAS (urachal carcinoma), EML4-ALK (lung cancer), and MDM2 and PTEN (liposarcoma). We then suggested potential drugs for each patient according to his or her altered genes and related pathways. By comparing candidate driving genes between AYA cancers and those from all age groups for the same type of cancer, we identified different driving genes in prostate cancer and a germ cell tumor in AYAs compared with all age groups, whereas three common alterations (TP53, FAT1, and NOTCH1) in head and neck cancer were identified in both groups. CONCLUSION: We identified the patient-specific genetic alterations and druggability of seven rare types of AYA cancers using three genomics platforms. Additionally, genetic alterations in cancers from AYA and those from all age groups varied by cancer type. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-016-2209-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-29 /pmc/articles/PMC4772349/ /pubmed/26925973 http://dx.doi.org/10.1186/s12885-016-2209-1 Text en © Cha et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Cha, Soojin
Lee, Jeongeun
Shin, Jong-Yeon
Kim, Ji-Yeon
Sim, Sung Hoon
Keam, Bhumsuk
Kim, Tae Min
Kim, Dong-Wan
Heo, Dae Seog
Lee, Se-Hoon
Kim, Jong-Il
Clinical application of genomic profiling to find druggable targets for adolescent and young adult (AYA) cancer patients with metastasis
title Clinical application of genomic profiling to find druggable targets for adolescent and young adult (AYA) cancer patients with metastasis
title_full Clinical application of genomic profiling to find druggable targets for adolescent and young adult (AYA) cancer patients with metastasis
title_fullStr Clinical application of genomic profiling to find druggable targets for adolescent and young adult (AYA) cancer patients with metastasis
title_full_unstemmed Clinical application of genomic profiling to find druggable targets for adolescent and young adult (AYA) cancer patients with metastasis
title_short Clinical application of genomic profiling to find druggable targets for adolescent and young adult (AYA) cancer patients with metastasis
title_sort clinical application of genomic profiling to find druggable targets for adolescent and young adult (aya) cancer patients with metastasis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4772349/
https://www.ncbi.nlm.nih.gov/pubmed/26925973
http://dx.doi.org/10.1186/s12885-016-2209-1
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