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103. HMGB1-mediated elevation of KLF7 facilitates hepatocellular carcinoma progression and metastasis through upregulating TLR4 and PTK2

Author

Feng, Weibo, primary, Chen, Jie, additional, Huang, Wenjie, additional, Wang, Guodong, additional, Chen, Xilang, additional, Duan, Lili, additional, Yin, Yue, additional, Chen, Xiaoping, additional, Zhang, Bixiang, additional, Sun, Mengyu, additional, Luo, Xiangyuan, additional, Nie, Yongzhan, additional, Fan, Daiming, additional, Wu, Kaichun, additional, and Xia, Limin, additional

Published
2023
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104. Identification of necroptosis-related subtypes, development of a novel signature, and characterization of immune infiltration in colorectal cancer

Author

Sun, Mengyu, primary, Ji, Xiaoyu, additional, Xie, Meng, additional, Chen, Xiaoping, additional, Zhang, Bixiang, additional, Luo, Xiangyuan, additional, Feng, Yangyang, additional, Liu, Danfei, additional, Wang, Yijun, additional, Li, Yiwei, additional, Liu, Bifeng, additional, Xia, Limin, additional, and Huang, Wenjie, additional

Published
2022
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107. HNRNPC downregulation inhibits IL‐6/STAT3‐mediated HCC metastasis by decreasing HIF1A expression

Author

Liu, Danfei, primary, Luo, Xiangyuan, additional, Xie, Meng, additional, Zhang, Tongyue, additional, Chen, Xiaoping, additional, Zhang, Bixiang, additional, Sun, Mengyu, additional, Wang, Yijun, additional, Feng, Yangyang, additional, Ji, Xiaoyu, additional, Li, Yiwei, additional, Liu, Bifeng, additional, Huang, Wenjie, additional, and Xia, Limin, additional

Published
2022
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115. Additional file 1 of HGF-mediated elevation of ETV1 facilitates hepatocellular carcinoma metastasis through upregulating PTK2 and c-MET

Author

Zhang, Tongyue, Wang, Yijun, Xie, Meng, Ji, Xiaoyu, Luo, Xiangyuan, Chen, Xiaoping, Zhang, Bixiang, Liu, Danfei, Feng, Yangyang, Sun, Mengyu, Huang, Wenjie, and Xia, Limin

Abstract

Additional file 1: Supplementary materials. FigureS1. (A) ETV1expression in LIHC and correlation of ETV1 expression with overallsurvival were analyzed in LIHC according to the data of The Cancer Genome Atlas(TCGA). (B) CellCounting Kit-8 (CCK8) assay assessing the cell proliferation of theETV1-overexpressing PLC/PRF/5 cells and ETV1-knockdown MHCC97H cells. (C) Colony formation assay showing the proliferationof the indicated HCC cells. Therepresentative photos were shown and the cell numbers were quantified. (D-F) Tumorgrowth of the indicated HCC cells was assessed by subcutaneous xenograft tumormodels. The tumor volume and weight were shown in (D) and (E), the representative images of Ki67 were shownin (F). n = 5 in each group. (G) The correlation between ETV1 expression and PTK2 or MET expression inTCGA-LIHC and GEO database. *p < 0.05, ****p < 0.0001. Data were shown as Mean ± SD. Figure S2. ETV1 binding sites withinthe promoter regions of PTK2. Thesequences highlighted in yellow represent the three binding sites of ETV1 onthe PTK2 promoter, and the arrow represents the transcription initiation sites.The mutagenesis of the promoter sequencewere annotated. Figure S3. ETV1binding sites within the promoter regions of MET. The sequenceshighlighted in yellow represent the four binding sites of ETV1 onthe MET promoter, and the arrow represents the transcription initiation sites.The mutagenesis of the promoter sequence were annotated. Figure S4. (A-C) Western blotverifying PTK2 and MET knockdown effect in PLC/PRF/5-ETV1 cells and ELK1knockdown effect in PLC/PRF/5 cells. FigureS5. (A) The expression levels of MTDH, RHOA, TCF4 and MCL1 were determined in the indicated cells by real-time PCR. (B) Westernblotting assays of MTDH, RHOA, TCF4 and MCL1 in the indicated cells transfected with lentivirus. (C) The migratingand invasive capability of the indicated cells was determined via transwellassay. Figure S6. (A) The level of ETV1 in the PLC/PRF/5 cells upon HGFtreatment with/without ERK1/2 knockdown. Figure S7. Transcription factors binding siteswithin the promoter regions of ETV1. The sequences highlighted in blue represent the four binding sites ofELK1 on the ETV1 promoter. The yellow highlighted sequences representthe one binding site of ETS1 onthe ETV1 promoter. The sequenceshighlighted in grey represent the binding site of SP1 on the ETV1promoter. The red highlighted sequences represent the binding site of NF-ΚB1 onthe ETV1 promoter. The pink highlighted sequences represent the bindingsequence of STAT3 on the ETV1 promoter. The arrows representtranscription start sites. The mutagenesis of the promoter sequence wereannotated. Figure S8. (A)Representative IHC staining of ETV1 is shown. (B) Pearsoncorrelation analyses between ETV1 IHC score and the levels of serum HGF in HCCpatients. n=30. (C) The correlation between ETV1 expression and HGF expression inTCGA-LIHC and GEO database.(D) The correlation between ETV1expression and ELK1 expression in TCGA-LIHC and GEO database. Figure S9. Effectof ERK1/2 inhibitor on HGF-mediated HCC cell migration and invasion. (A)Transwell assays displayed the migratory and invasive capacity of theindicated cells upon HGF treatment. (B) Transwell assays displayed themigratory and invasive capacity of the indicated cells. Supplementary Table S1. List of genesdifferentially expressed in PLC/PRF/5-ETV1 versus PLC/PRF/5-Control cells usinga human liver cancer PCR array. Supplementary Table S2. List of genes differentially expressed in MHCC97H-shETV1 versusMHCC97H-shControl cells using a human liver cancer PCR array. Supplementary Table S3. Primer sequences usedin the study. Supplementary Table S4. Knockdown shRNA sequencesused in this study. Supplementary Table S5. Correlation between PTK2 expression and clinicopathologicalcharacteristics of HCCs in two independent cohorts of human HCC tissues. Supplementary Table S6. Correlationbetween c-MET expression and clinicopathological characteristics of HCCs in twoindependent cohorts of human HCC tissues.

Published
2022
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117. Correction to: ONECUT2 facilitates hepatocellular carcinoma metastasis by transcriptionally upregulating FGF2 and ACLY

Author

Liu, Danfei, Zhang, Tongyue, Chen, Xiaoping, Zhang, Bixiang, Wang, Yijun, Xie, Meng, Ji, Xiaoyu, Sun, Mengyu, Huang, Wenjie, and Xia, Limin

Subjects
Homeodomain Proteins, Cancer Research, Carcinoma, Hepatocellular, QH573-671, Liver Neoplasms, Immunology, Correction, Oncogenes, Cell Biology, Middle Aged, Metastasis, Up-Regulation, Gene Expression Regulation, Neoplastic, Mice, Cellular and Molecular Neuroscience, Cell Line, Tumor, ATP Citrate (pro-S)-Lyase, Animals, Humans, Fibroblast Growth Factor 2, Neoplasm Metastasis, Cytology, Liver cancer, Transcription Factors
Abstract

Metastasis is the predominant reason for high mortality of hepatocellular carcinoma (HCC) patients. It is critical to explore the molecular mechanism underlying HCC metastasis. Here, we reported that transcription factor One Cut homeobox 2 (ONECUT2) functioned as an oncogene to facilitate HCC metastasis. Elevated ONECUT2 expression was positively correlated with increased tumor number, tumor encapsulation loss, microvascular invasion, poor tumor differentiation, and advanced TNM stage. Mechanistically, ONECUT2 directly bound to the promoters of fibroblast growth factor 2 (FGF2) and ATP citrate lyase (ACLY) and transcriptionally upregulated their expression. Knockdown of FGF2 and ACLY inhibited ONECUT2-mediated HCC metastasis, whereas upregulation of FGF2 and ACLY rescued ONECUT2 knockdown-induced suppression of HCC metastasis. ONECUT2 expression was positively correlated with FGF2 and ACLY expression in human HCC tissues. HCC patients with positive coexpression of ONECUT2/FGF2 or ONECUT2/ACLY exhibited the worst prognosis. In addition, FGF2 upregulated ONECUT2 expression through the FGFR1/ERK/ELK1 pathway, which formed an FGF2-FGFR1-ONECUT2 positive feedback loop. Knockdown of ONECUT2 inhibited FGF2-induced HCC metastasis. Furthermore, the combination of FGFR1 inhibitor PD173074 with ACLY inhibitor ETC-1002 markedly suppressed ONECUT2-mediated HCC metastasis. In summary, ONECUT2 was a potential prognostic biomarker in HCC and targeting this oncogenic signaling pathway may provide an efficient therapeutic strategy against HCC metastasis.

Published
2021

129. IL‐1β‐Induced Elevation of Solute Carrier Family 7 Member 11 Promotes Hepatocellular Carcinoma Metastasis Through Up‐regulating Programmed Death Ligand 1 and Colony‐Stimulating Factor 1

Author

He, Qin, primary, Liu, Mei, additional, Huang, Wenjie, additional, Chen, Xiaoping, additional, Zhang, Bixiang, additional, Zhang, Tongyue, additional, Wang, Yijun, additional, Liu, Danfei, additional, Xie, Meng, additional, Ji, Xiaoyu, additional, Sun, Mengyu, additional, Tian, Dean, additional, and Xia, Limin, additional

Published
2021
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131. Two MicroRNAs, miR-34a and miR-125a, Are Implicated in Bicuspid Aortopathy by Modulating Metalloproteinase 2

Author

Lu, Yuntao, primary, Zhang, Lingfei, additional, Tao, Hongyue, additional, Sun, Xiaotian, additional, Zhao, Yun, additional, Xia, Limin, additional, Sun, Xiaoning, additional, Shen, Jinqiang, additional, Fu, Jiahui, additional, Hamidi, Mohammad Rafi, additional, Liu, Huan, additional, Wang, Wenshuo, additional, Liu, Mofang, additional, and Wei, Lai, additional

Published
2021
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141. Abnormal event detection in surveillance videos based on multi-scale feature and channel-wise attention mechanism.

Author

Xia, Limin and Wei, Changhong

Subjects
*VIDEO surveillance, *SURVEILLANCE detection, *MACHINE learning, *INTRUSION detection systems (Computer security)
Abstract

Abnormal event detection is a challenging task, due to object scale variation, impact of background and anomaly defined differently in different context. In this paper, we propose a new multi-scale feature prediction framework for abnormal event detection. Firstly, we construct a multi-scale alignment feature generator to fuse the characteristic of different receptive fields so that address the objects of different scales in video frame. Secondly, in order to weak the influence of background, a novel channel-wise attention mechanism is introduced to highlight those informative channels while suppressing the confusing ones. Finally, an autoencoder-based deep feature prediction module is applied to capture temporal information and contextual information to generate predicted features. Instead of giving a definition of anomaly, we treat predicted features that differ from the actual features as abnormal features. Experimental results on four benchmark datasets demonstrate the superiority of the proposed framework over the state-of-the-art approaches. [ABSTRACT FROM AUTHOR]

Published
2022
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150. CXCL12-mediated HOXB5 overexpression facilitates Colorectal Cancer metastasis through transactivating CXCR4 and ITGB3

Author

Feng, Weibo, primary, Huang, Wenjie, additional, Chen, Jie, additional, Qiao, Chenyang, additional, Liu, Danfei, additional, Ji, Xiaoyu, additional, Xie, Meng, additional, Zhang, Tongyue, additional, Wang, Yijun, additional, Sun, Mengyu, additional, Tian, Dean, additional, Fan, Daiming, additional, Nie, Yongzhan, additional, Wu, Kaichun, additional, and Xia, Limin, additional

Published
2021
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