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Identification of three small nucleolar RNAs (snoRNAs) as potential prognostic markers in diffuse large B‐cell lymphoma

BACKGROUND: Diffuse large B‐cell lymphoma (DLBCL) is a non‐Hodgkin lymphoma with high mortality rates. Small nucleolar RNAs (snoRNAs) are tumor‐specific biological markers, but there are few studies on the role of snoRNAs in DLBCL. MATERIALS AND METHODS: Survival‐related snoRNAs were selected to con...

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Autores principales: Li, Mei‐wei, Huang, Feng‐xiang, Xie, Zu‐cheng, Hong, Hao‐yuan, Xu, Qing‐yuan, Peng, Zhi‐gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939161/
https://www.ncbi.nlm.nih.gov/pubmed/36812125
http://dx.doi.org/10.1002/cam4.5115
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author Li, Mei‐wei
Huang, Feng‐xiang
Xie, Zu‐cheng
Hong, Hao‐yuan
Xu, Qing‐yuan
Peng, Zhi‐gang
author_facet Li, Mei‐wei
Huang, Feng‐xiang
Xie, Zu‐cheng
Hong, Hao‐yuan
Xu, Qing‐yuan
Peng, Zhi‐gang
author_sort Li, Mei‐wei
collection PubMed
description BACKGROUND: Diffuse large B‐cell lymphoma (DLBCL) is a non‐Hodgkin lymphoma with high mortality rates. Small nucleolar RNAs (snoRNAs) are tumor‐specific biological markers, but there are few studies on the role of snoRNAs in DLBCL. MATERIALS AND METHODS: Survival‐related snoRNAs were selected to construct a specific snoRNA‐based signature via computational analyses (Cox regression and independent prognostic analyses) to predict the prognosis of DLBCL patients. To assist in clinical applications, a nomogram was built by combining the risk model and other independent prognostic factors. Pathway analysis, gene ontology analysis, transcription factor enrichment, protein–protein interactions, and single nucleotide variant analysis were used to explore the potential biological mechanisms of co‐expressed genes. RESULTS: Twelve prognosis‐correlated snoRNAs were selected from the DLBCL patient cohort of microarray profiles, and a three‐snoRNA signature consisting of SNORD1A, SNORA60, and SNORA66 was constructed. DLBCL patients could be divided into high‐risk and low‐risk cohorts using the risk model, and the high‐risk group and activated B cell‐like (ABC) type DLBCL were linked with disappointing survival. In addition, SNORD1A co‐expressed genes were inseparably linked to the biological functions of the ribosome and mitochondria. Potential transcriptional regulatory networks have also been identified. MYC and RPL10A were the most mutated SNORD1A co‐expressed genes in DLBCL. CONCLUSION: Put together, our findings explored the potential biological effects of snoRNAs in DLBCL, and provided a new predictor for DLBCL prediction.
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spelling pubmed-99391612023-02-20 Identification of three small nucleolar RNAs (snoRNAs) as potential prognostic markers in diffuse large B‐cell lymphoma Li, Mei‐wei Huang, Feng‐xiang Xie, Zu‐cheng Hong, Hao‐yuan Xu, Qing‐yuan Peng, Zhi‐gang Cancer Med Research Articles BACKGROUND: Diffuse large B‐cell lymphoma (DLBCL) is a non‐Hodgkin lymphoma with high mortality rates. Small nucleolar RNAs (snoRNAs) are tumor‐specific biological markers, but there are few studies on the role of snoRNAs in DLBCL. MATERIALS AND METHODS: Survival‐related snoRNAs were selected to construct a specific snoRNA‐based signature via computational analyses (Cox regression and independent prognostic analyses) to predict the prognosis of DLBCL patients. To assist in clinical applications, a nomogram was built by combining the risk model and other independent prognostic factors. Pathway analysis, gene ontology analysis, transcription factor enrichment, protein–protein interactions, and single nucleotide variant analysis were used to explore the potential biological mechanisms of co‐expressed genes. RESULTS: Twelve prognosis‐correlated snoRNAs were selected from the DLBCL patient cohort of microarray profiles, and a three‐snoRNA signature consisting of SNORD1A, SNORA60, and SNORA66 was constructed. DLBCL patients could be divided into high‐risk and low‐risk cohorts using the risk model, and the high‐risk group and activated B cell‐like (ABC) type DLBCL were linked with disappointing survival. In addition, SNORD1A co‐expressed genes were inseparably linked to the biological functions of the ribosome and mitochondria. Potential transcriptional regulatory networks have also been identified. MYC and RPL10A were the most mutated SNORD1A co‐expressed genes in DLBCL. CONCLUSION: Put together, our findings explored the potential biological effects of snoRNAs in DLBCL, and provided a new predictor for DLBCL prediction. John Wiley and Sons Inc. 2022-08-16 /pmc/articles/PMC9939161/ /pubmed/36812125 http://dx.doi.org/10.1002/cam4.5115 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Li, Mei‐wei
Huang, Feng‐xiang
Xie, Zu‐cheng
Hong, Hao‐yuan
Xu, Qing‐yuan
Peng, Zhi‐gang
Identification of three small nucleolar RNAs (snoRNAs) as potential prognostic markers in diffuse large B‐cell lymphoma
title Identification of three small nucleolar RNAs (snoRNAs) as potential prognostic markers in diffuse large B‐cell lymphoma
title_full Identification of three small nucleolar RNAs (snoRNAs) as potential prognostic markers in diffuse large B‐cell lymphoma
title_fullStr Identification of three small nucleolar RNAs (snoRNAs) as potential prognostic markers in diffuse large B‐cell lymphoma
title_full_unstemmed Identification of three small nucleolar RNAs (snoRNAs) as potential prognostic markers in diffuse large B‐cell lymphoma
title_short Identification of three small nucleolar RNAs (snoRNAs) as potential prognostic markers in diffuse large B‐cell lymphoma
title_sort identification of three small nucleolar rnas (snornas) as potential prognostic markers in diffuse large b‐cell lymphoma
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939161/
https://www.ncbi.nlm.nih.gov/pubmed/36812125
http://dx.doi.org/10.1002/cam4.5115
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