We found increased VAP-1 activity and SDC-1 content in critically ill patients with septic shock. Based on our results, the role of VAP-1 in shock pathogenesis should be studied with semicarbazide-sensitive amine oxidase activity blocking agents and substrate affinity testing.
Automatic medical image segmentation plays a critical role in scientific research and medical care. Existing high-performance deep learning methods typically rely on large training datasets with high-quality manual annotations, which are difficult to obtain in many clinical applications. Here, we introduce Annotation-effIcient Deep lEarning (AIDE), an open-source framework to handle imperfect training datasets. Methodological analyses and empirical evaluations are conducted, and we demonstrate that AIDE surpasses conventional fully-supervised models by presenting better performance on open datasets possessing scarce or noisy annotations. We further test AIDE in a real-life case study for breast tumor segmentation. Three datasets containing 11,852 breast images from three medical centers are employed, and AIDE, utilizing 10% training annotations, consistently produces segmentation maps comparable to those generated by fully-supervised counterparts or provided by independent radiologists. The 10-fold enhanced efficiency in utilizing expert labels has the potential to promote a wide range of biomedical applications.
has been reported to be overexpressed in many types of cancers, but its role in bladder cancer has not been elucidated yet. Here, we report that miR-139-5p functions as a tumor suppressor in bladder cancer and inhibits the cancer stem cell self-renewal by targeting Bmi1 directly. We found that miR-139-5p expression was significantly downregulated in the bladder cancer specimens compared with that in adjacent normal tissues. In vitro, restoration of miR-139-5p expression significantly inhibited the proliferation of bladder cancer cells. Mechanism analysis revealed that miR-139-5p could decrease Bmi1 protein levels by binding to the 3′ untranslated region of Bmi1 messenger RNA. Stem cell-related proteins such as c-MYC, NANOG, OCT4, and KLF4 and signaling pathways such as Wnt signaling were suppressed by restoration of miR-139-5p in bladder cancer cells. In addition, miR-139-5p expression also blocked selfrenewal of bladder cancer stem cells by inhibiting Bmi1. In summary, our study supports that miR-139-5p acts as a tumor suppressor in bladder cancer development and suppresses cancer stem cell property of bladder cancer. Our study also suggests that miR-139-5p has the potential to be used as a therapeutic molecule for bladder cancer treatment.
Background
Centromere protein N (CENP-N) has been reported to be highly expressed in malignancies, but its role and mechanism in nasopharyngeal carcinoma (NPC) are unknown.
Methods
Abnormal CENP-N expression from NPC microarrays of GEO database was analyzed. CENP-N expression level was confirmed in NPC tissues and cell lines. Stable CENP-N knockdown and overexpression NPC cell lines were established, and transcriptome sequencing after CENP-N knockdown was performed. In vitro and in vivo experiments were performed to test the impact of CENP-N knockdown in NPC cells. ChIP and dual luciferase reporter assays were used to verify the combination of IRF2 and CENP-N. Western blot analysis, cellular immunofluorescence, immunoprecipitation and GST pulldown assays were used to verify the combination of CENP-N and AKT.
Results
CENP-N was confirmed to be aberrantly highly expressed in NPC tissues and cell lines and to be associated with high 18F-FDG uptake in cancer nests and poor patient prognosis. Transcriptome sequencing after CENP-N knockdown revealed that genes with altered expression were enriched in pathways related to glucose metabolism, cell cycle regulation. CENP-N knockdown inhibited glucose metabolism, cell proliferation, cell cycling and promoted apoptosis. IRF2 is a transcription factor for CENP-N and directly promotes CENP-N expression in NPC cells. CENP-N affects the glucose metabolism, proliferation, cell cycling and apoptosis of NPC cells in vitro and in vivo through the AKT pathway. CENP-N formed a complex with AKT in NPC cells. Both an AKT inhibitor (MK-2206) and a LDHA inhibitor (GSK2837808A) blocked the effect of CENP-N overexpression on NPC cells by promoting aerobic glycolysis, proliferation, cell cycling and apoptosis resistance.
Conclusions
The IRF2/CENP-N/AKT axis promotes malignant biological behaviors in NPC cells by increasing aerobic glycolysis, and the IRF2/CENP-N/AKT signaling axis is expected to be a new target for NPC therapy.
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