Visual analytics identifies key miRNAs for differentiating peripancreatic paraganglioma and pancreatic neuroendocrine tumors
IntroductionParagangliomas (PGL), a type of neuroendocrine tumor, pose a significant diagnostic challenge due to their potential for unpredictable locations and asymptomatic presentation. Misdiagnosis of peripancreatic PGLs, particularly as pancreatic neuroendocrine tumors (PANNETs), is a pressing i...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-06-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2023.1162725/full |
| _version_ | 1797805369115803648 |
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| author | Jose María Enguita Ignacio Díaz Diego García Tamara Cubiella Tamara Cubiella Tamara Cubiella María-Dolores Chiara María-Dolores Chiara María-Dolores Chiara Nuria Valdés Nuria Valdés |
| author_facet | Jose María Enguita Ignacio Díaz Diego García Tamara Cubiella Tamara Cubiella Tamara Cubiella María-Dolores Chiara María-Dolores Chiara María-Dolores Chiara Nuria Valdés Nuria Valdés |
| author_sort | Jose María Enguita |
| collection | DOAJ |
| description | IntroductionParagangliomas (PGL), a type of neuroendocrine tumor, pose a significant diagnostic challenge due to their potential for unpredictable locations and asymptomatic presentation. Misdiagnosis of peripancreatic PGLs, particularly as pancreatic neuroendocrine tumors (PANNETs), is a pressing issue as it can negatively impact both pre- and post-treatment decision-making. The aim of our study was to identify microRNA markers for the reliable differential diagnosis of peripancreatic PGLs and PANNETs, addressing a crucial unmet need in the field and advancing the standard of care for these patients.MethodsMorphing projections tool was used to analyze miRNA data from PGL and PANNET tumors present in the TCGA database. The findings were validated using two additional databases: GSE29742 and GSE73367.ResultsOur research uncovered substantial differences in the miRNA expression profiles of PGL and PANNET, leading to the identification of 6 key miRNAs (miR-10b-3p, miR-10b-5p, and the miRNA families miR-200c/141 and miR-194/192) that can effectively differentiate between the two types of tumors.DiscussionThese miRNA levels hold potential as biomarkers for improved diagnosis, offering a solution to the diagnostic challenge posed by these tumors and potentially improving the standard of care for patients. |
| first_indexed | 2024-03-13T05:51:02Z |
| format | Article |
| id | doaj.art-97824ca2ebf24056aaa7a31be4079871 |
| institution | Directory Open Access Journal |
| issn | 1664-2392 |
| language | English |
| last_indexed | 2024-03-13T05:51:02Z |
| publishDate | 2023-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj.art-97824ca2ebf24056aaa7a31be40798712023-06-13T14:28:20ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922023-06-011410.3389/fendo.2023.11627251162725Visual analytics identifies key miRNAs for differentiating peripancreatic paraganglioma and pancreatic neuroendocrine tumorsJose María Enguita0Ignacio Díaz1Diego García2Tamara Cubiella3Tamara Cubiella4Tamara Cubiella5María-Dolores Chiara6María-Dolores Chiara7María-Dolores Chiara8Nuria Valdés9Nuria Valdés10Department of Electrical Engineering, University of Oviedo, Gijón, SpainDepartment of Electrical Engineering, University of Oviedo, Gijón, SpainDepartment of Electrical Engineering, University of Oviedo, Gijón, SpainDepartment of Cancer, Health Research Institute of the Principality of Asturias, Oviedo, SpainRespiratory Tract Tumors, CIBERONC (Network of Biomedical Research in Cancer), Madrid, SpainInstitute of Oncology of the Principality of Asturias, University of Oviedo, Oviedo, SpainDepartment of Cancer, Health Research Institute of the Principality of Asturias, Oviedo, SpainRespiratory Tract Tumors, CIBERONC (Network of Biomedical Research in Cancer), Madrid, SpainInstitute of Oncology of the Principality of Asturias, University of Oviedo, Oviedo, SpainDepartment of Cancer, Health Research Institute of the Principality of Asturias, Oviedo, SpainDepartment of Internal Medicine, Section of Endocrinology and Nutrition, Cabueñes University Hospital, Gijón, SpainIntroductionParagangliomas (PGL), a type of neuroendocrine tumor, pose a significant diagnostic challenge due to their potential for unpredictable locations and asymptomatic presentation. Misdiagnosis of peripancreatic PGLs, particularly as pancreatic neuroendocrine tumors (PANNETs), is a pressing issue as it can negatively impact both pre- and post-treatment decision-making. The aim of our study was to identify microRNA markers for the reliable differential diagnosis of peripancreatic PGLs and PANNETs, addressing a crucial unmet need in the field and advancing the standard of care for these patients.MethodsMorphing projections tool was used to analyze miRNA data from PGL and PANNET tumors present in the TCGA database. The findings were validated using two additional databases: GSE29742 and GSE73367.ResultsOur research uncovered substantial differences in the miRNA expression profiles of PGL and PANNET, leading to the identification of 6 key miRNAs (miR-10b-3p, miR-10b-5p, and the miRNA families miR-200c/141 and miR-194/192) that can effectively differentiate between the two types of tumors.DiscussionThese miRNA levels hold potential as biomarkers for improved diagnosis, offering a solution to the diagnostic challenge posed by these tumors and potentially improving the standard of care for patients.https://www.frontiersin.org/articles/10.3389/fendo.2023.1162725/fullparagangliomapancreatic neuroendocrine tumorsmicroRNAdiagnosisvisual analytic |
| spellingShingle | Jose María Enguita Ignacio Díaz Diego García Tamara Cubiella Tamara Cubiella Tamara Cubiella María-Dolores Chiara María-Dolores Chiara María-Dolores Chiara Nuria Valdés Nuria Valdés Visual analytics identifies key miRNAs for differentiating peripancreatic paraganglioma and pancreatic neuroendocrine tumors Frontiers in Endocrinology paraganglioma pancreatic neuroendocrine tumors microRNA diagnosis visual analytic |
| title | Visual analytics identifies key miRNAs for differentiating peripancreatic paraganglioma and pancreatic neuroendocrine tumors |
| title_full | Visual analytics identifies key miRNAs for differentiating peripancreatic paraganglioma and pancreatic neuroendocrine tumors |
| title_fullStr | Visual analytics identifies key miRNAs for differentiating peripancreatic paraganglioma and pancreatic neuroendocrine tumors |
| title_full_unstemmed | Visual analytics identifies key miRNAs for differentiating peripancreatic paraganglioma and pancreatic neuroendocrine tumors |
| title_short | Visual analytics identifies key miRNAs for differentiating peripancreatic paraganglioma and pancreatic neuroendocrine tumors |
| title_sort | visual analytics identifies key mirnas for differentiating peripancreatic paraganglioma and pancreatic neuroendocrine tumors |
| topic | paraganglioma pancreatic neuroendocrine tumors microRNA diagnosis visual analytic |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2023.1162725/full |
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