Mechanistic role of miR-375 in regulating PDPK1 to promote progression of small bowel neuroendocrine tumors: a silico analysis

Abstract Background The incidence of small bowel neuroendocrine tumors (SBNETs) is steadily increasing, new therapies are urgently needed to prolong the overall survival of patients. Objective This study aimed to identify diagnostic and therapeutic candidate markers for SBNETs. Methods Expression pr...

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Main Authors: Tao Ren, Lu Zhou, Zhenlong Li, Mingmei Pan, Xueqiong Han
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Discover Oncology
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Online Access:https://doi.org/10.1007/s12672-025-02872-x
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author Tao Ren
Lu Zhou
Zhenlong Li
Mingmei Pan
Xueqiong Han
author_facet Tao Ren
Lu Zhou
Zhenlong Li
Mingmei Pan
Xueqiong Han
author_sort Tao Ren
collection DOAJ
description Abstract Background The incidence of small bowel neuroendocrine tumors (SBNETs) is steadily increasing, new therapies are urgently needed to prolong the overall survival of patients. Objective This study aimed to identify diagnostic and therapeutic candidate markers for SBNETs. Methods Expression profiles of miRNAs were collected from GSE70534, and GSE103317, that of mRNAs were collected from GSE65286. Differentially expressed genes (DEmiRs, DEmRs) were analyzed between SBNETs and controls. Enrichment and coexpression analyses were carried out for DEmRs. XGBoost algorithm was used to screening feature miRNAs. Module genes in SBNETs-related pathways were selected to construct regulated network for feature miRNAs. Drug targeting prediction and immune environment evaluation were identified. Results A total of 57 common DEmiRs with the same direction of expression were identified. Hsa − miR − 375, hsa − miR − 107, hsa − miR − 1180, hsa − miR − 330 − 3p, and hsa − miR − 328 were identified as feature miRNAs. Among the target genes of feature miRNAs, PDPK1 was the correlation between PDPK1 and the target of Lutetium-177 (177Lu)-DOTATATE was the largest, which were regulated by miR − 375. Additionally, PDPK1 showed correlations with eosinophils, cytotoxic cells, and checkpoints in SBNETs. Conclusions Five feature miRNAs may have a good diagnostic role for the SBNETs. MiR − 375 regulated PDPK1 may serve as an effective therapeutic candidate marker for SBNETs.
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spelling doaj-art-132ca54e77ea4eb3a456f4938d3fbb432025-08-20T03:31:41ZengSpringerDiscover Oncology2730-60112025-06-0116112110.1007/s12672-025-02872-xMechanistic role of miR-375 in regulating PDPK1 to promote progression of small bowel neuroendocrine tumors: a silico analysisTao Ren0Lu Zhou1Zhenlong Li2Mingmei Pan3Xueqiong Han4Department of Oncology, The Fifth Affiliated Hospital of Guangxi Medical UniversityDepartment of Oncology, The Fifth Affiliated Hospital of Guangxi Medical UniversityDepartment of Oncology, The Fifth Affiliated Hospital of Guangxi Medical UniversityDepartment of Oncology, The Fifth Affiliated Hospital of Guangxi Medical UniversityDepartment of Oncology, The First Affiliated Hospital Of Guangxi University Of Chinese MedicineAbstract Background The incidence of small bowel neuroendocrine tumors (SBNETs) is steadily increasing, new therapies are urgently needed to prolong the overall survival of patients. Objective This study aimed to identify diagnostic and therapeutic candidate markers for SBNETs. Methods Expression profiles of miRNAs were collected from GSE70534, and GSE103317, that of mRNAs were collected from GSE65286. Differentially expressed genes (DEmiRs, DEmRs) were analyzed between SBNETs and controls. Enrichment and coexpression analyses were carried out for DEmRs. XGBoost algorithm was used to screening feature miRNAs. Module genes in SBNETs-related pathways were selected to construct regulated network for feature miRNAs. Drug targeting prediction and immune environment evaluation were identified. Results A total of 57 common DEmiRs with the same direction of expression were identified. Hsa − miR − 375, hsa − miR − 107, hsa − miR − 1180, hsa − miR − 330 − 3p, and hsa − miR − 328 were identified as feature miRNAs. Among the target genes of feature miRNAs, PDPK1 was the correlation between PDPK1 and the target of Lutetium-177 (177Lu)-DOTATATE was the largest, which were regulated by miR − 375. Additionally, PDPK1 showed correlations with eosinophils, cytotoxic cells, and checkpoints in SBNETs. Conclusions Five feature miRNAs may have a good diagnostic role for the SBNETs. MiR − 375 regulated PDPK1 may serve as an effective therapeutic candidate marker for SBNETs.https://doi.org/10.1007/s12672-025-02872-xSmall bowel neuroendocrine tumorsPDPK1miR − 375177Lu-DOTATATE
spellingShingle Tao Ren
Lu Zhou
Zhenlong Li
Mingmei Pan
Xueqiong Han
Mechanistic role of miR-375 in regulating PDPK1 to promote progression of small bowel neuroendocrine tumors: a silico analysis
Discover Oncology
Small bowel neuroendocrine tumors
PDPK1
miR − 375
177Lu-DOTATATE
title Mechanistic role of miR-375 in regulating PDPK1 to promote progression of small bowel neuroendocrine tumors: a silico analysis
title_full Mechanistic role of miR-375 in regulating PDPK1 to promote progression of small bowel neuroendocrine tumors: a silico analysis
title_fullStr Mechanistic role of miR-375 in regulating PDPK1 to promote progression of small bowel neuroendocrine tumors: a silico analysis
title_full_unstemmed Mechanistic role of miR-375 in regulating PDPK1 to promote progression of small bowel neuroendocrine tumors: a silico analysis
title_short Mechanistic role of miR-375 in regulating PDPK1 to promote progression of small bowel neuroendocrine tumors: a silico analysis
title_sort mechanistic role of mir 375 in regulating pdpk1 to promote progression of small bowel neuroendocrine tumors a silico analysis
topic Small bowel neuroendocrine tumors
PDPK1
miR − 375
177Lu-DOTATATE
url https://doi.org/10.1007/s12672-025-02872-x
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