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Qualitative transcriptional signature for predicting pathological response of colorectal cancer to FOLFOX therapy

FOLFOX (5‐fluorouracil, leucovorin and oxaliplatin) is one of the main chemotherapy regimens for colorectal cancer (CRC), but only half of CRC patients respond to this regimen. Using gene expression profiles of 96 metastatic CRC patients treated with FOLFOX, we first selected gene pairs whose within...

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Autores principales: He, Jun, Cheng, Jun, Guan, Qingzhou, Yan, Haidan, Li, Yawei, Zhao, Wenyuan, Guo, Zheng, Wang, Xianlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942442/
https://www.ncbi.nlm.nih.gov/pubmed/31785020
http://dx.doi.org/10.1111/cas.14263
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author He, Jun
Cheng, Jun
Guan, Qingzhou
Yan, Haidan
Li, Yawei
Zhao, Wenyuan
Guo, Zheng
Wang, Xianlong
author_facet He, Jun
Cheng, Jun
Guan, Qingzhou
Yan, Haidan
Li, Yawei
Zhao, Wenyuan
Guo, Zheng
Wang, Xianlong
author_sort He, Jun
collection PubMed
description FOLFOX (5‐fluorouracil, leucovorin and oxaliplatin) is one of the main chemotherapy regimens for colorectal cancer (CRC), but only half of CRC patients respond to this regimen. Using gene expression profiles of 96 metastatic CRC patients treated with FOLFOX, we first selected gene pairs whose within‐sample relative expression orderings (REO) were significantly associated with the response to FOLFOX using the exact binomial test. Then, from these gene pairs, we applied an optimization procedure to obtain a subset that achieved the largest F‐score in predicting pathological response of CRC to FOLFOX. The REO‐based qualitative transcriptional signature, consisting of five gene pairs, was developed in the training dataset consisting of 96 samples with an F‐score of 0.90. In an independent test dataset consisting of 25 samples with the response information, an F‐score of 0.82 was obtained. In three other independent survival datasets, the predicted responders showed significantly better progression‐free survival than the predicted non‐responders. In addition, the signature showed a better predictive performance than two published FOLFOX signatures across different datasets and is more suitable for CRC patients treated with FOLFOX than 5‐fluorouracil‐based signatures. In conclusion, the REO‐based qualitative transcriptional signature can accurately identify metastatic CRC patients who may benefit from the FOLFOX regimen.
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spelling pubmed-69424422020-01-07 Qualitative transcriptional signature for predicting pathological response of colorectal cancer to FOLFOX therapy He, Jun Cheng, Jun Guan, Qingzhou Yan, Haidan Li, Yawei Zhao, Wenyuan Guo, Zheng Wang, Xianlong Cancer Sci Original Articles FOLFOX (5‐fluorouracil, leucovorin and oxaliplatin) is one of the main chemotherapy regimens for colorectal cancer (CRC), but only half of CRC patients respond to this regimen. Using gene expression profiles of 96 metastatic CRC patients treated with FOLFOX, we first selected gene pairs whose within‐sample relative expression orderings (REO) were significantly associated with the response to FOLFOX using the exact binomial test. Then, from these gene pairs, we applied an optimization procedure to obtain a subset that achieved the largest F‐score in predicting pathological response of CRC to FOLFOX. The REO‐based qualitative transcriptional signature, consisting of five gene pairs, was developed in the training dataset consisting of 96 samples with an F‐score of 0.90. In an independent test dataset consisting of 25 samples with the response information, an F‐score of 0.82 was obtained. In three other independent survival datasets, the predicted responders showed significantly better progression‐free survival than the predicted non‐responders. In addition, the signature showed a better predictive performance than two published FOLFOX signatures across different datasets and is more suitable for CRC patients treated with FOLFOX than 5‐fluorouracil‐based signatures. In conclusion, the REO‐based qualitative transcriptional signature can accurately identify metastatic CRC patients who may benefit from the FOLFOX regimen. John Wiley and Sons Inc. 2019-12-18 2020-01 /pmc/articles/PMC6942442/ /pubmed/31785020 http://dx.doi.org/10.1111/cas.14263 Text en © 2019 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
He, Jun
Cheng, Jun
Guan, Qingzhou
Yan, Haidan
Li, Yawei
Zhao, Wenyuan
Guo, Zheng
Wang, Xianlong
Qualitative transcriptional signature for predicting pathological response of colorectal cancer to FOLFOX therapy
title Qualitative transcriptional signature for predicting pathological response of colorectal cancer to FOLFOX therapy
title_full Qualitative transcriptional signature for predicting pathological response of colorectal cancer to FOLFOX therapy
title_fullStr Qualitative transcriptional signature for predicting pathological response of colorectal cancer to FOLFOX therapy
title_full_unstemmed Qualitative transcriptional signature for predicting pathological response of colorectal cancer to FOLFOX therapy
title_short Qualitative transcriptional signature for predicting pathological response of colorectal cancer to FOLFOX therapy
title_sort qualitative transcriptional signature for predicting pathological response of colorectal cancer to folfox therapy
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942442/
https://www.ncbi.nlm.nih.gov/pubmed/31785020
http://dx.doi.org/10.1111/cas.14263
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