Institution
Dalian Medical University
Education•Dalian, China•
About: Dalian Medical University is a education organization based out in Dalian, China. It is known for research contribution in the topics: Cancer & Apoptosis. The organization has 15623 authors who have published 9993 publications receiving 164145 citations.
Topics: Cancer, Apoptosis, Cell growth, Metastasis, PI3K/AKT/mTOR pathway
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors show that myostatin-modified exosomes produced by Ocy454 cells that had been pre-treated with miR-218 could be taken up by osteoblastic MC3T3 cells, resulting in a marked reduction of Runx2, a key regulator of osteocyte differentiation, and in decreased osteoblast differentiation via the down-regulation of Wnt signaling pathway.
179 citations
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TL;DR: This study verified that ferroptosis occurred in animal models of arsenic-induced pancreatic dysfunction through assessing proferroptotic markers and morphological changes in mitochondria, and revealed that ferritin regulated ferroPTosis through the MtROS-autophagy pathway.
176 citations
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TL;DR: The findings suggest that the characteristic distribution of gray matter changes may be of diagnostic value for schizophrenia.
175 citations
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Third Military Medical University1, Fudan University2, Guangzhou Medical University3, Icahn School of Medicine at Mount Sinai4, Shanghai Jiao Tong University5, Tongji University6, Jilin University7, Dalian Medical University8, Dalian University of Technology9, Shenzhen University10, Qingdao University11, Huazhong University of Science and Technology12, Zhejiang University13, Harbin Medical University14, Central South University15
TL;DR: The ultimate goal is to enable different levels of COVID-19 diagnosis and treatment among different doctors from different hospitals to upgrade to the national and international through the intelligent assistance of the nCapp system.
174 citations
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TL;DR: It is found that lncRNA MALAT1 overexpression was an unfavorable prognostic factor in pancreatic cancer patients, regardless of clinical stage, tumor size, lymph node metastasis, and distant metastasis.
Abstract: Long non-coding RNAs (lncRNAs) have been proved to serve as a critical role in cancer development and progression. However, little is known about the pathological role of lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) in pancreatic cancer patients. The aims of this study are to measure the expression of lncRNA MALAT1 in pancreatic cancer patients and to explore the clinical significance of the lncRNA MALAT1. Using qRT-PCR, the expression of lncRNA MALAT1 was measured in 126 pancreatic cancer tissues and 15 adjacent non-cancerous tissues. In the present study, our results indicated that lncRNA MALAT1 was highly expressed in pancreatic cancer compared with adjacent non-cancerous tissues (P < 0.001), and positively correlated with clinical stage (early stages vs. advanced stages, P < 0.001), tumor size (<2 vs. ≥2 cm, P = 0.004), lymph node metastasis (negative vs. positive, P < 0.001), and distant metastasis (absent vs. present, P = 0.001) in pancreatic cancer patients. Furthermore, we also found that lncRNA MALAT1 overexpression was an unfavorable prognostic factor in pancreatic cancer patients (P < 0.001), regardless of clinical stage, tumor size, lymph node metastasis, and distant metastasis. Finally, increased lncRNA MALAT1 expression was an independent poor prognostic factor for pancreatic patients through multivariate analysis (P = 0.018). In conclusion, overexpression of lncRNA MALAT1 serves as an unfavorable prognostic biomarker in pancreatic cancer patients.
173 citations
Authors
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Name | H-index | Papers | Citations |
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Jing Wang | 184 | 4046 | 202769 |
Jan-Åke Gustafsson | 147 | 1058 | 98804 |
Melitta Schachner | 135 | 861 | 67304 |
Yan Zhang | 107 | 2410 | 57758 |
Jau-Shyong Hong | 93 | 474 | 37172 |
Li Zhang | 92 | 918 | 35648 |
Charles G. Eberhart | 84 | 444 | 29920 |
Ying Lu | 83 | 343 | 24913 |
You-Lin Qiao | 78 | 595 | 23919 |
Wei Wei | 75 | 1068 | 29415 |
Weidong Le | 74 | 287 | 22551 |
Jin-Tai Yu | 66 | 439 | 20020 |
Wei Jiang | 65 | 660 | 18932 |
Lan Tan | 62 | 387 | 13828 |
Hua Li | 62 | 849 | 17933 |