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Dynamic alterations of genome and transcriptome in KRAS G13D mutant CRC PDX model treated with cetuximab
BACKGROUND: KRAS mutations have been characterized as the major predictive biomarkers for resistance to cetuximab treatment. However, studies indicate that not all KRAS mutations are associated with equivalent treatment outcomes. KRAS G13D mutations were observed to account for approximately 16% of...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222508/ https://www.ncbi.nlm.nih.gov/pubmed/32404198 http://dx.doi.org/10.1186/s12885-020-06909-y |
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author | Zhang, Hangyu Yuan, Liyun Liu, Lulu Yan, Cong Cheng, Jinming Fu, Qihan Tong, Zhou Jiang, Weiqin Zheng, Yi Zhao, Peng Zhang, Guoqing Fang, Weijia |
author_facet | Zhang, Hangyu Yuan, Liyun Liu, Lulu Yan, Cong Cheng, Jinming Fu, Qihan Tong, Zhou Jiang, Weiqin Zheng, Yi Zhao, Peng Zhang, Guoqing Fang, Weijia |
author_sort | Zhang, Hangyu |
collection | PubMed |
description | BACKGROUND: KRAS mutations have been characterized as the major predictive biomarkers for resistance to cetuximab treatment. However, studies indicate that not all KRAS mutations are associated with equivalent treatment outcomes. KRAS G13D mutations were observed to account for approximately 16% of all KRAS mutations in advanced colorectal cancer patients, and whether these patients can benefit from cetuximab has not been determined. METHODS: An established KRAS G13D mutant colorectal cancer (CRC) patient-derived xenograft (PDX) model was treated with cetuximab. After repeated use of cetuximab, treatment-resistant PDX models were established. Tissue samples were collected before and during treatment, and multiomics data were subsequently sequenced and processed, including whole-exome, mRNA and miRNA data, to explore potential dynamic changes. RESULTS: Cetuximab treatment initially slowed tumor growth, but resistance developed not long after treatment. WES (whole-exome sequencing) and RNA sequencing found that 145 genes had low P values (< 0.01) when analyzed between the locus genotype and its related gene expression level. Among these genes, SWAP70 was believed to be a probable cause of acquired resistance. JAK2, PRKAA1, FGFR2 and RALBP1, as well as 10 filtered immune-related genes, also exhibited dynamic changes during the treatment. CONCLUSIONS: Cetuximab may be effective in KRAS G13D mutation patients. Dynamic changes in transcription, as determined by WES and RNA sequencing, occurred after repeated drug exposure, and these changes were believed to be the most likely cause of drug resistance. |
format | Online Article Text |
id | pubmed-7222508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72225082020-05-20 Dynamic alterations of genome and transcriptome in KRAS G13D mutant CRC PDX model treated with cetuximab Zhang, Hangyu Yuan, Liyun Liu, Lulu Yan, Cong Cheng, Jinming Fu, Qihan Tong, Zhou Jiang, Weiqin Zheng, Yi Zhao, Peng Zhang, Guoqing Fang, Weijia BMC Cancer Research Article BACKGROUND: KRAS mutations have been characterized as the major predictive biomarkers for resistance to cetuximab treatment. However, studies indicate that not all KRAS mutations are associated with equivalent treatment outcomes. KRAS G13D mutations were observed to account for approximately 16% of all KRAS mutations in advanced colorectal cancer patients, and whether these patients can benefit from cetuximab has not been determined. METHODS: An established KRAS G13D mutant colorectal cancer (CRC) patient-derived xenograft (PDX) model was treated with cetuximab. After repeated use of cetuximab, treatment-resistant PDX models were established. Tissue samples were collected before and during treatment, and multiomics data were subsequently sequenced and processed, including whole-exome, mRNA and miRNA data, to explore potential dynamic changes. RESULTS: Cetuximab treatment initially slowed tumor growth, but resistance developed not long after treatment. WES (whole-exome sequencing) and RNA sequencing found that 145 genes had low P values (< 0.01) when analyzed between the locus genotype and its related gene expression level. Among these genes, SWAP70 was believed to be a probable cause of acquired resistance. JAK2, PRKAA1, FGFR2 and RALBP1, as well as 10 filtered immune-related genes, also exhibited dynamic changes during the treatment. CONCLUSIONS: Cetuximab may be effective in KRAS G13D mutation patients. Dynamic changes in transcription, as determined by WES and RNA sequencing, occurred after repeated drug exposure, and these changes were believed to be the most likely cause of drug resistance. BioMed Central 2020-05-13 /pmc/articles/PMC7222508/ /pubmed/32404198 http://dx.doi.org/10.1186/s12885-020-06909-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Zhang, Hangyu Yuan, Liyun Liu, Lulu Yan, Cong Cheng, Jinming Fu, Qihan Tong, Zhou Jiang, Weiqin Zheng, Yi Zhao, Peng Zhang, Guoqing Fang, Weijia Dynamic alterations of genome and transcriptome in KRAS G13D mutant CRC PDX model treated with cetuximab |
title | Dynamic alterations of genome and transcriptome in KRAS G13D mutant CRC PDX model treated with cetuximab |
title_full | Dynamic alterations of genome and transcriptome in KRAS G13D mutant CRC PDX model treated with cetuximab |
title_fullStr | Dynamic alterations of genome and transcriptome in KRAS G13D mutant CRC PDX model treated with cetuximab |
title_full_unstemmed | Dynamic alterations of genome and transcriptome in KRAS G13D mutant CRC PDX model treated with cetuximab |
title_short | Dynamic alterations of genome and transcriptome in KRAS G13D mutant CRC PDX model treated with cetuximab |
title_sort | dynamic alterations of genome and transcriptome in kras g13d mutant crc pdx model treated with cetuximab |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222508/ https://www.ncbi.nlm.nih.gov/pubmed/32404198 http://dx.doi.org/10.1186/s12885-020-06909-y |
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