Using Multiomics and Machine Learning: Insights into Improving the Outcomes of Clear Cell Renal Cell Carcinoma via the SRD5A3-AS1/hsa-let-7e-5p/RRM2 Axis

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Main Authors: Mouyuan Sun, Zhan Yang, Yaxian Luo, Luying Qin, Lianjie Peng, Chaoran Pan, Jiatao Yan, Tao Qiu, Yan Zhang
Format: Article
Language:English
Published: American Chemical Society 2025-06-01
Series:ACS Omega
Online Access:https://doi.org/10.1021/acsomega.5c01337
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author Mouyuan Sun
Zhan Yang
Yaxian Luo
Luying Qin
Lianjie Peng
Chaoran Pan
Jiatao Yan
Tao Qiu
Yan Zhang
author_facet Mouyuan Sun
Zhan Yang
Yaxian Luo
Luying Qin
Lianjie Peng
Chaoran Pan
Jiatao Yan
Tao Qiu
Yan Zhang
author_sort Mouyuan Sun
collection DOAJ
format Article
id doaj-art-e9ed217a4042434a941913cc6be3a350
institution Kabale University
issn 2470-1343
language English
publishDate 2025-06-01
publisher American Chemical Society
record_format Article
series ACS Omega
spelling doaj-art-e9ed217a4042434a941913cc6be3a3502025-08-20T03:30:14ZengAmerican Chemical SocietyACS Omega2470-13432025-06-011024256332564710.1021/acsomega.5c01337Using Multiomics and Machine Learning: Insights into Improving the Outcomes of Clear Cell Renal Cell Carcinoma via the SRD5A3-AS1/hsa-let-7e-5p/RRM2 AxisMouyuan Sun0Zhan Yang1Yaxian Luo2Luying Qin3Lianjie Peng4Chaoran Pan5Jiatao Yan6Tao Qiu7Yan Zhang8Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Zhejiang University, Hangzhou, ChinaDepartment of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaStomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Zhejiang University, Hangzhou, ChinaStomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Zhejiang University, Hangzhou, ChinaStomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Zhejiang University, Hangzhou, ChinaDepartment of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaDepartment of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, ChinaStomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Zhejiang University, Hangzhou, ChinaDepartment of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Chinahttps://doi.org/10.1021/acsomega.5c01337
spellingShingle Mouyuan Sun
Zhan Yang
Yaxian Luo
Luying Qin
Lianjie Peng
Chaoran Pan
Jiatao Yan
Tao Qiu
Yan Zhang
Using Multiomics and Machine Learning: Insights into Improving the Outcomes of Clear Cell Renal Cell Carcinoma via the SRD5A3-AS1/hsa-let-7e-5p/RRM2 Axis
ACS Omega
title Using Multiomics and Machine Learning: Insights into Improving the Outcomes of Clear Cell Renal Cell Carcinoma via the SRD5A3-AS1/hsa-let-7e-5p/RRM2 Axis
title_full Using Multiomics and Machine Learning: Insights into Improving the Outcomes of Clear Cell Renal Cell Carcinoma via the SRD5A3-AS1/hsa-let-7e-5p/RRM2 Axis
title_fullStr Using Multiomics and Machine Learning: Insights into Improving the Outcomes of Clear Cell Renal Cell Carcinoma via the SRD5A3-AS1/hsa-let-7e-5p/RRM2 Axis
title_full_unstemmed Using Multiomics and Machine Learning: Insights into Improving the Outcomes of Clear Cell Renal Cell Carcinoma via the SRD5A3-AS1/hsa-let-7e-5p/RRM2 Axis
title_short Using Multiomics and Machine Learning: Insights into Improving the Outcomes of Clear Cell Renal Cell Carcinoma via the SRD5A3-AS1/hsa-let-7e-5p/RRM2 Axis
title_sort using multiomics and machine learning insights into improving the outcomes of clear cell renal cell carcinoma via the srd5a3 as1 hsa let 7e 5p rrm2 axis
url https://doi.org/10.1021/acsomega.5c01337
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