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A DCS-related lncRNA signature predicts the prognosis and chemotherapeutic response of patients with gastric cancer

The combination of docetaxel, cisplatin, and S-1 (DCS) is a common chemotherapy regimen for patients with gastric cancer (GC). However, studies on long noncoding RNAs (lncRNAs) associated with the chemotherapeutic response to and prognosis after DCS remain lacking. The aim of the present study was t...

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Autores principales: Zhang, Yang, Li, Leyan, Tu, Yi, Feng, Zongfeng, Li, Zhengrong, Cao, Yi, Li, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446389/
https://www.ncbi.nlm.nih.gov/pubmed/35993308
http://dx.doi.org/10.1042/BSR20220989
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author Zhang, Yang
Li, Leyan
Tu, Yi
Feng, Zongfeng
Li, Zhengrong
Cao, Yi
Li, Yong
author_facet Zhang, Yang
Li, Leyan
Tu, Yi
Feng, Zongfeng
Li, Zhengrong
Cao, Yi
Li, Yong
author_sort Zhang, Yang
collection PubMed
description The combination of docetaxel, cisplatin, and S-1 (DCS) is a common chemotherapy regimen for patients with gastric cancer (GC). However, studies on long noncoding RNAs (lncRNAs) associated with the chemotherapeutic response to and prognosis after DCS remain lacking. The aim of the present study was to identify DCS mRNAs-lncRNAs associated with chemotherapy response and prognosis in GC patients. In the present study, we identified 548 lncRNAs associated with these 16 mRNAs in the TCGA and GSE31811 datasets. Eleven lncRNAs were used to construct a prognostic signature by least absolute shrinkage and selection operator (LASSO) regression. A model including the 11 lncRNAs (LINC02532, AC007277.1, AC005324.4, AL512506.1, AC068790.7, AC022509.2, AC113139.1, LINC00106, AC005165.1, MIR100HG, and UBE2R2-AS1) associated with the prognosis of GC was constructed. The signature was validated in the TCGA database, model comparison, and qRT-PCR experiments. The results showed that the risk signature was a more effective prognostic factor for GC patients. Furthermore, the results showed that this model can well predicting chemotherapy drug response and immune infiltration of GC patients. In addition, our experimental results indicated that lower expression levels of LINC00106 and UBE2R2-AS1 predicted worse drug resistance in AGS/DDP cells. The experimental results agreed with the predictions. Furthermore, knockdown of LINC00106 or UBE2R2-AS1 can significantly enhanced the proliferation and migration of GC AGS cells in vitro. In conclusion, a novel DCS therapy-related lncRNA signature may become a new strategy to predict chemotherapy response and prognosis in GC patients. LINC00106 and UBE2R2-AS1 may exhibit a tumor suppressive function in GC.
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spelling pubmed-94463892022-09-13 A DCS-related lncRNA signature predicts the prognosis and chemotherapeutic response of patients with gastric cancer Zhang, Yang Li, Leyan Tu, Yi Feng, Zongfeng Li, Zhengrong Cao, Yi Li, Yong Biosci Rep Bioinformatics The combination of docetaxel, cisplatin, and S-1 (DCS) is a common chemotherapy regimen for patients with gastric cancer (GC). However, studies on long noncoding RNAs (lncRNAs) associated with the chemotherapeutic response to and prognosis after DCS remain lacking. The aim of the present study was to identify DCS mRNAs-lncRNAs associated with chemotherapy response and prognosis in GC patients. In the present study, we identified 548 lncRNAs associated with these 16 mRNAs in the TCGA and GSE31811 datasets. Eleven lncRNAs were used to construct a prognostic signature by least absolute shrinkage and selection operator (LASSO) regression. A model including the 11 lncRNAs (LINC02532, AC007277.1, AC005324.4, AL512506.1, AC068790.7, AC022509.2, AC113139.1, LINC00106, AC005165.1, MIR100HG, and UBE2R2-AS1) associated with the prognosis of GC was constructed. The signature was validated in the TCGA database, model comparison, and qRT-PCR experiments. The results showed that the risk signature was a more effective prognostic factor for GC patients. Furthermore, the results showed that this model can well predicting chemotherapy drug response and immune infiltration of GC patients. In addition, our experimental results indicated that lower expression levels of LINC00106 and UBE2R2-AS1 predicted worse drug resistance in AGS/DDP cells. The experimental results agreed with the predictions. Furthermore, knockdown of LINC00106 or UBE2R2-AS1 can significantly enhanced the proliferation and migration of GC AGS cells in vitro. In conclusion, a novel DCS therapy-related lncRNA signature may become a new strategy to predict chemotherapy response and prognosis in GC patients. LINC00106 and UBE2R2-AS1 may exhibit a tumor suppressive function in GC. Portland Press Ltd. 2022-09-02 /pmc/articles/PMC9446389/ /pubmed/35993308 http://dx.doi.org/10.1042/BSR20220989 Text en © 2022 The Author(s). https://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Bioinformatics
Zhang, Yang
Li, Leyan
Tu, Yi
Feng, Zongfeng
Li, Zhengrong
Cao, Yi
Li, Yong
A DCS-related lncRNA signature predicts the prognosis and chemotherapeutic response of patients with gastric cancer
title A DCS-related lncRNA signature predicts the prognosis and chemotherapeutic response of patients with gastric cancer
title_full A DCS-related lncRNA signature predicts the prognosis and chemotherapeutic response of patients with gastric cancer
title_fullStr A DCS-related lncRNA signature predicts the prognosis and chemotherapeutic response of patients with gastric cancer
title_full_unstemmed A DCS-related lncRNA signature predicts the prognosis and chemotherapeutic response of patients with gastric cancer
title_short A DCS-related lncRNA signature predicts the prognosis and chemotherapeutic response of patients with gastric cancer
title_sort dcs-related lncrna signature predicts the prognosis and chemotherapeutic response of patients with gastric cancer
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446389/
https://www.ncbi.nlm.nih.gov/pubmed/35993308
http://dx.doi.org/10.1042/BSR20220989
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