The pharmacogenomic and immune landscape of snoRNAs in human cancers

Small nucleolar RNAs (snoRNAs) are a class of non-coding RNAs primarily known for their role in the chemical modification of other RNAs. Recent studies suggested that snoRNAs may play a broader role in anti-cancer treatments such as targeted therapies and immunotherapies. Despite these insights, the...

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Veröffentlicht in:Cancer letters 2024-11, Vol.605, p.217304, Article 217304
Hauptverfasser: Wang, Runhao, Chen, Chengxuan, Liu, Yuan, Luo, Mei, Yang, Jingwen, Chen, Yamei, Ma, Lifei, Yang, Liuqing, Lin, Chunru, Diao, Lixia, Han, Leng
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container_issue
container_start_page 217304
container_title Cancer letters
container_volume 605
creator Wang, Runhao
Chen, Chengxuan
Liu, Yuan
Luo, Mei
Yang, Jingwen
Chen, Yamei
Ma, Lifei
Yang, Liuqing
Lin, Chunru
Diao, Lixia
Han, Leng
description Small nucleolar RNAs (snoRNAs) are a class of non-coding RNAs primarily known for their role in the chemical modification of other RNAs. Recent studies suggested that snoRNAs may play a broader role in anti-cancer treatments such as targeted therapies and immunotherapies. Despite these insights, the comprehensive landscape of snoRNA associations with drug response and immunotherapy outcomes remains unexplored. In this study, we identified 79,448 and 75,185 associations between snoRNAs and drug response using data from VAEN and CancerRxTissue, respectively. Additionally, we discovered 29,199 associations between snoRNAs and immune checkpoint genes and 47,194 associations between snoRNAs and immune cell infiltrations. Sixteen snoRNAs were significantly correlated with immunotherapy objective response rate (ORR), and 92 snoRNAs showed significantly differential expression between cancers with high and low ORR. Furthermore, we identified 17 snoRNAs with significantly differential expression between cancer types with high and low immune-related adverse event (irAE) reporting odds ratio (ROR). Several snoRNAs, such as SNORD92, and SNORD83B, may represent promising biomarkers or therapeutic targets that needs further investigation. To facilitate further research, we developed a user-friendly portal, Pharmacogenomic and Immune Landscape of SnoRNA (PISNO, https://hanlaboratory.com/PISNO/), enabling researchers to visualize, browse, and download multi-dimensional data. This study highlights the potential of snoRNAs as biomarkers or therapeutic targets, paving the way for more effective and personalized anti-cancer treatments. •We characterized the effects of snoRNAs on drug response.•We identified snoRNAs associated with immune check point genes and immune cell infiltration.•We identified snoRNAs associated with efficacy and toxicity of immunotherapy.•We developed a data portal for pharmacogenomic and immune landscape of snoRNAs.
doi_str_mv 10.1016/j.canlet.2024.217304
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Recent studies suggested that snoRNAs may play a broader role in anti-cancer treatments such as targeted therapies and immunotherapies. Despite these insights, the comprehensive landscape of snoRNA associations with drug response and immunotherapy outcomes remains unexplored. In this study, we identified 79,448 and 75,185 associations between snoRNAs and drug response using data from VAEN and CancerRxTissue, respectively. Additionally, we discovered 29,199 associations between snoRNAs and immune checkpoint genes and 47,194 associations between snoRNAs and immune cell infiltrations. Sixteen snoRNAs were significantly correlated with immunotherapy objective response rate (ORR), and 92 snoRNAs showed significantly differential expression between cancers with high and low ORR. Furthermore, we identified 17 snoRNAs with significantly differential expression between cancer types with high and low immune-related adverse event (irAE) reporting odds ratio (ROR). Several snoRNAs, such as SNORD92, and SNORD83B, may represent promising biomarkers or therapeutic targets that needs further investigation. To facilitate further research, we developed a user-friendly portal, Pharmacogenomic and Immune Landscape of SnoRNA (PISNO, https://hanlaboratory.com/PISNO/), enabling researchers to visualize, browse, and download multi-dimensional data. 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This study highlights the potential of snoRNAs as biomarkers or therapeutic targets, paving the way for more effective and personalized anti-cancer treatments. •We characterized the effects of snoRNAs on drug response.•We identified snoRNAs associated with immune check point genes and immune cell infiltration.•We identified snoRNAs associated with efficacy and toxicity of immunotherapy.•We developed a data portal for pharmacogenomic and immune landscape of snoRNAs.</description><subject>Antineoplastic Agents - pharmacology</subject><subject>Antineoplastic Agents - therapeutic use</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Drug response</subject><subject>Gene Expression Regulation, Neoplastic - drug effects</subject><subject>Humans</subject><subject>Immune checkpoint</subject><subject>Immune infiltration</subject><subject>Immunotherapy - methods</subject><subject>Immunotherapy efficacy</subject><subject>irAE</subject><subject>Neoplasms - drug therapy</subject><subject>Neoplasms - genetics</subject><subject>Neoplasms - immunology</subject><subject>Pharmacogenetics</subject><subject>RNA, Small Nucleolar - genetics</subject><subject>RNA, Small Nucleolar - immunology</subject><subject>SnoRNA</subject><issn>0304-3835</issn><issn>1872-7980</issn><issn>1872-7980</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kEtLAzEQgIMotlb_gUiOXnbNe3cvQqlPKApSzyGbnbUp-6hJV_Dfm7LVo6cZJt888iF0SUlKCVU3m9SaroFdyggTKaMZJ-IITWmesSQrcnKMpiSWEp5zOUFnIWwIIVJk8hRNeCGYUopP0d1qDXi7Nr41tv-Arm-dxaarsGvboQPcxDxYswXc1zh0_dvLPGDX4fXQmg7HCyz4cI5OatMEuDjEGXp_uF8tnpLl6-PzYr5MLBN0lwAXFStEXXNTFibjDHghJYXKglLxScmyYrJWhNocpACRW8isNMIUWQlS8Rm6Huduff85QNjp1gULTTwS-iFoTmkusr2PiIoRtb4PwUOtt961xn9rSvTen97o0Z_e83r0F9uuDhuGsoXqr-lXWARuRwDiP78ceB2sg2ihch7sTle9-3_DD79sgl0</recordid><startdate>20241128</startdate><enddate>20241128</enddate><creator>Wang, Runhao</creator><creator>Chen, Chengxuan</creator><creator>Liu, Yuan</creator><creator>Luo, Mei</creator><creator>Yang, Jingwen</creator><creator>Chen, Yamei</creator><creator>Ma, Lifei</creator><creator>Yang, Liuqing</creator><creator>Lin, Chunru</creator><creator>Diao, Lixia</creator><creator>Han, Leng</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2030-1153</orcidid><orcidid>https://orcid.org/0009-0004-2225-5458</orcidid><orcidid>https://orcid.org/0000-0002-7380-2640</orcidid><orcidid>https://orcid.org/0000-0002-9072-5157</orcidid></search><sort><creationdate>20241128</creationdate><title>The pharmacogenomic and immune landscape of snoRNAs in human cancers</title><author>Wang, Runhao ; 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Recent studies suggested that snoRNAs may play a broader role in anti-cancer treatments such as targeted therapies and immunotherapies. Despite these insights, the comprehensive landscape of snoRNA associations with drug response and immunotherapy outcomes remains unexplored. In this study, we identified 79,448 and 75,185 associations between snoRNAs and drug response using data from VAEN and CancerRxTissue, respectively. Additionally, we discovered 29,199 associations between snoRNAs and immune checkpoint genes and 47,194 associations between snoRNAs and immune cell infiltrations. Sixteen snoRNAs were significantly correlated with immunotherapy objective response rate (ORR), and 92 snoRNAs showed significantly differential expression between cancers with high and low ORR. Furthermore, we identified 17 snoRNAs with significantly differential expression between cancer types with high and low immune-related adverse event (irAE) reporting odds ratio (ROR). Several snoRNAs, such as SNORD92, and SNORD83B, may represent promising biomarkers or therapeutic targets that needs further investigation. To facilitate further research, we developed a user-friendly portal, Pharmacogenomic and Immune Landscape of SnoRNA (PISNO, https://hanlaboratory.com/PISNO/), enabling researchers to visualize, browse, and download multi-dimensional data. This study highlights the potential of snoRNAs as biomarkers or therapeutic targets, paving the way for more effective and personalized anti-cancer treatments. •We characterized the effects of snoRNAs on drug response.•We identified snoRNAs associated with immune check point genes and immune cell infiltration.•We identified snoRNAs associated with efficacy and toxicity of immunotherapy.•We developed a data portal for pharmacogenomic and immune landscape of snoRNAs.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>39426663</pmid><doi>10.1016/j.canlet.2024.217304</doi><orcidid>https://orcid.org/0000-0003-2030-1153</orcidid><orcidid>https://orcid.org/0009-0004-2225-5458</orcidid><orcidid>https://orcid.org/0000-0002-7380-2640</orcidid><orcidid>https://orcid.org/0000-0002-9072-5157</orcidid></addata></record>
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source MEDLINE; Access via ScienceDirect (Elsevier)
subjects Antineoplastic Agents - pharmacology
Antineoplastic Agents - therapeutic use
Biomarkers, Tumor - genetics
Drug response
Gene Expression Regulation, Neoplastic - drug effects
Humans
Immune checkpoint
Immune infiltration
Immunotherapy - methods
Immunotherapy efficacy
irAE
Neoplasms - drug therapy
Neoplasms - genetics
Neoplasms - immunology
Pharmacogenetics
RNA, Small Nucleolar - genetics
RNA, Small Nucleolar - immunology
SnoRNA
title The pharmacogenomic and immune landscape of snoRNAs in human cancers
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