Transcriptomics and Metabolomics Identify Drug Resistance of Dormant Cell in Colorectal Cancer

Background: Tumor dormancy is an important way to develop drug resistance. This study aimed to identify the characteristics of colorectal cancer (CRC) cell dormancy.Methods: Based on the CRC cohorts, a total of 1,044 CRC patients were included in this study, and divided into a dormant subgroup and p...

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Main Authors: Lang Xie (Author), Renli Huang (Author), Hongyun Huang (Author), Xiaoxia Liu (Author), Jinlong Yu (Author)
Format: Book
Published: Frontiers Media S.A., 2022-04-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Lang Xie  |e author 
700 1 0 |a Renli Huang  |e author 
700 1 0 |a Hongyun Huang  |e author 
700 1 0 |a Xiaoxia Liu  |e author 
700 1 0 |a Jinlong Yu  |e author 
245 0 0 |a Transcriptomics and Metabolomics Identify Drug Resistance of Dormant Cell in Colorectal Cancer 
260 |b Frontiers Media S.A.,   |c 2022-04-01T00:00:00Z. 
500 |a 1663-9812 
500 |a 10.3389/fphar.2022.879751 
520 |a Background: Tumor dormancy is an important way to develop drug resistance. This study aimed to identify the characteristics of colorectal cancer (CRC) cell dormancy.Methods: Based on the CRC cohorts, a total of 1,044 CRC patients were included in this study, and divided into a dormant subgroup and proliferous subgroup. Non-negative matrix factorization (NMF) was used to distinguish the dormant subgroup of CRC via transcriptome data of cancer tissues. Gene Set Enrichment Analysis (GSEA) was used to explore the characteristics of dormant CRC. The characteristics were verified in the cell model, which was used to predict key factors driving CRC dormancy. Potential treatments for CRC dormancy were also examined.Results: The dormant subgroup had a poor prognosis and was more likely to relapse. GSEA analysis showed two defining characteristics of the dormant subgroup, a difference in energy metabolism and synergistic effects of cancer-associated fibroblasts (CAFs), which were verified in a dormant cell model. Transcriptome and clinical data identified LMOD1, MAB21L2, and ASPN as important factors associated with cell dormancy and verified that erlotinib, and CB-839 were potential treatment options.Conclusion: Dormant CRC is associated with high glutamine metabolism and synergizes with CAFs in 5-FU resistance, and the key effectors are LMOD1, MAB21L2, and ASPN. Austocystin D, erlotinib, and CB-839 may be useful for dormant CRC. 
546 |a EN 
690 |a tumor dormancy 
690 |a metabolomics 
690 |a cancer-associated fibroblasts 
690 |a colorectal cancer 
690 |a transcriptomics 
690 |a Therapeutics. Pharmacology 
690 |a RM1-950 
655 7 |a article  |2 local 
786 0 |n Frontiers in Pharmacology, Vol 13 (2022) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fphar.2022.879751/full 
787 0 |n https://doaj.org/toc/1663-9812 
856 4 1 |u https://doaj.org/article/bc4cbf36bf0f43f4a8b68a68e492f7e0  |z Connect to this object online.