scholarly journals Identification of a mitochondrial defect gene signature revealsNUPR1as a key regulator of liver cancer progression

Hepatology ◽  
2015 ◽  
Vol 62 (4) ◽  
pp. 1174-1189 ◽  
Author(s):  
Young-Kyoung Lee ◽  
Byul A. Jee ◽  
So Mee Kwon ◽  
Young-Sil Yoon ◽  
Wei Guang Xu ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Cancer Progression ◽  
Gene Signature ◽  
Mitochondrial Defect

scholarly journals Mitochondrial defect-responsive gene signature in liver-cancer progression

BMB Reports ◽  
2015 ◽  
Vol 48 (11) ◽  
pp. 597-598 ◽  
Author(s):  
Young-Kyoung Lee ◽  
Hyun Goo Woo ◽  
Gyesoon Yoon
Keyword(s):  
Liver Cancer ◽  
Cancer Progression ◽  
Gene Signature ◽  
Responsive Gene ◽  
Mitochondrial Defect

LIVER CANCER PROGRESSION GENE SIGNATURE OF CELL LINES FROM OVAL-CELL DERIVED HEPATIC TUMORS

2009 ◽  
Vol 41 ◽  
pp. S16
Author(s):  
A.C. Piscaglia ◽  
N. Saulnier ◽  
V. Tesori ◽  
M. Barba ◽  
M. Campanale ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Cell Lines ◽  
Cancer Progression ◽  
Gene Signature ◽  
Hepatic Tumors ◽  
Oval Cell

scholarly journals A Novel Immune and Inflammatory Related Gene Signature in Hepatocellular Carcinoma

2021 ◽  
Author(s):  
Yunji Xu ◽  
Guo Huang ◽  
Wen bing Li
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Microenvironment ◽  
Liver Cancer ◽  
Cell Line ◽  
Cell Function ◽  
Immune Cell ◽  
Gene Signature ◽  
Treg Cells ◽  
Clinical Staging ◽  
Response Analysis

Abstract Background: The prognosis of hepatocellular carcinoma (HCC) is closely related to immunity and inflammation, but the value of using immune and inflammation-related genes as predicting the prognosis of HCC requires further research.Methods: The Hepatocellular Carcinomar mRNA data was downloaded in the TCGA and ICGC database. The R package "limma" was used to analyze the differential expression of genes (DEGs) irelated to immune and inflammatory .Univariate Cox analysis screen for immune and inflammation related genes with prognostic value, then construction and verification of the prognostic model in Hepatocellular Carcinomar. The correlation between risk score with tumor immune immersion and immune cell function was assessed through tumor microensure and immune response analysis. NCI-60 cell line to explore the relationship between prognostic gene expression and drug sensitivity.Results: We evaluated 8 immune and inflammatory-related genes to build a prognostic risk prediction model, riskscore is an independent risk factor affecting prognosis, closely related to histological grading and clinical staging. The immune of adCs, macrophages, Tfh cells, Treg cells and Th1 cells higher in the tumor microenvironment leads to poor prognosis of liver cancer. Using data from the NCI-60 cell line, DNASE1L3 high expression may increased resistance of liver cancer cells to bovine platinum, solafinil and bovine platinum. The expression of SLC7A11 can increase the sensitivity of liver cancer to arsenic trioxide (ATO). Simultaneously constructing models and tumor microenvironment and drug resistance may provide effective and safe strategies for HCC chemotherapy and immunotherapy.Conclusion:Our study screened eight immune and inflammation-related genes play an important role in HCC tumor immunity and can be used to predict the prognosis of HCC.

scholarly journals Long non‑coding RNA BCAR4 promotes liver cancer progression by regulating proliferation, migration and invasion

2020 ◽  
Vol 20 (3) ◽  
pp. 2779-2787
Author(s):  
Aiyao Wang ◽  
Jun Meng ◽  
Hui Liu ◽  
Chen Li ◽  
Zhiyong Zhou
Keyword(s):  
Liver Cancer ◽  
Cancer Progression ◽  
Migration And Invasion ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Identification Of Gene Signature For Renal Cell Carcinoma-Associated Fibroblasts Mediating Cancer Progression And Affecting Prognosis

2020 ◽  
Author(s):  
Bitian Liu ◽  
Xiaonan Chen ◽  
Yunhong Zhan ◽  
Bin Wu ◽  
Shen Pan
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Single Cell ◽  
Clinical Significance ◽  
Cell Lines ◽  
Cancer Progression ◽  
Renal Cell ◽  
Gene Signature ◽  
Pathological Grade ◽  
Single Cell Sequencing

Abstract Background: Cancer-associated fibroblasts (CAFs) are most abundant in stroma and are critically involved in cancer progression. However, the specific signature of CAFs and related clinicopathological parameters in renal cell carcinoma (RCC) remain unclear. Methods: In this work, methods using recognized gene signatures were employed to roughly assess the infiltration level of the stroma and CAFs in RCC based on the data in The Cancer Genome Atlas. Weighted gene co-expression network analysis (WGCNA) was used to cluster transcriptomes and correlate with CAFs to identify specific markers. A comparison of fibroblast versus urothelial carcinoma cell lines and correlation with previously reported CAF markers were performed to demonstrate the specific expressed of the gene signature. The gene signature was used to compare fibroblast infiltration of each sample through single sample gene set enrichment analysis, and the clinical significance of fibroblasts was analyzed via Cox risk assessment and the chi-square test. Finally, we used validation data to verify the clinical significance of the fibroblast gene signature in RCC. Results: Roughly calculated tumor matrix and CAF levels were significantly higher in kidney cancer than in normal tissues. More than 85% of fibroblast-specific markers identified by WGCNA were consistent with markers obtained via single-cell sequencing. These markers were more highly expressed in fibroblast cell lines and were significantly correlated with canonical CAFs makers. Data validation also showed that CAFs were significant correlation with survival and pathological grade. Conclusions: In summary, our findings indicate that the gene signature potentially serves as a biomarker of CAFs in RCC and that infiltration of fibroblasts in RCC is an independent prognostic factor associated with pathological grade and stage of tumor. The ability to recognize specific CAF markers using WGCNA is comparable to single-cell sequencing.

scholarly journals Downregulation of sorting nexin 10 is associated with overexpression of miR-30d during liver cancer progression in rats

Tumor Biology ◽  
2017 ◽  
Vol 39 (4) ◽  
pp. 101042831769593 ◽  
Author(s):  
Nancy Cervantes-Anaya ◽  
Alberto Ponciano-Gómez ◽  
Guadalupe Soledad López-Álvarez ◽  
Christian Gonzalez-Reyes ◽  
Sergio Hernández-Garcia ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Cancer Progression ◽  
Sorting Nexin

Mitochondrial metabolic reprogramming: An important player in liver cancer progression

2020 ◽  
Vol 470 ◽  
pp. 197-203 ◽  
Author(s):  
Tianqiang Jin ◽  
Chao Wang ◽  
Yu Tian ◽  
Chaoliu Dai ◽  
Yuwen Zhu ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Cancer Progression ◽  
Metabolic Reprogramming ◽  
Important Player

scholarly journals Contextual Regulation of TGF-β Signaling in Liver Cancer

Cells ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1235 ◽  
Author(s):  
Tu ◽  
Huang ◽  
Huang ◽  
Luo ◽  
Yan
Keyword(s):  
Liver Cancer ◽  
Cancer Progression ◽  
Transforming Growth Factor Beta ◽  
Molecular Mechanisms ◽  
Transforming Growth Factor ◽  
Early Stage ◽  
Primary Liver Cancer ◽  
Receptor Activation ◽  
Membrane Receptors ◽  
Cancer Cell Survival

Primary liver cancer is one of the leading causes for cancer-related death worldwide. Transforming growth factor beta (TGF-β) is a pleiotropic cytokine that signals through membrane receptors and intracellular Smad proteins, which enter the nucleus upon receptor activation and act as transcription factors. TGF-β inhibits liver tumorigenesis in the early stage by inducing cytostasis and apoptosis, but promotes malignant progression in more advanced stages by enhancing cancer cell survival, EMT, migration, invasion and finally metastasis. Understanding the molecular mechanisms underpinning the multi-faceted roles of TGF-β in liver cancer has become a persistent pursuit during the last two decades. Contextual regulation fine-tunes the robustness, duration and plasticity of TGF-β signaling, yielding versatile albeit specific responses. This involves multiple feedback and feed-forward regulatory loops and also the interplay between Smad signaling and non-Smad pathways. This review summarizes the known regulatory mechanisms of TGF-β signaling in liver cancer, and how they channel, skew and even switch the actions of TGF-β during cancer progression.

scholarly journals miR-183-5p promotes proliferation and migration in hepatocellular carcinoma by targeting IRS1 and its association with patient survival

2020 ◽  
Vol 35 (3) ◽  
pp. 83-89
Author(s):  
Rong Yan ◽  
Kang Li ◽  
Dawei Yuan ◽  
Haonan Wang ◽  
Wei Chen ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Cancer ◽  
Cancer Progression ◽  
Normal Tissues ◽  
Report Analysis ◽  
In Vitro Effects ◽  
And Migration ◽  
Cancer Tissues ◽  
Proliferation And Migration

Background: MiR-183-5p plays an important role in the pathophysiology of many tumors, while the role of MiR-183-5p in liver cancer is unclear. Methods: In this study, quantitative reverse transcription-polymerase chain reaction and Western blotting were used to detect the expression of miR-183-5p in liver cancer cell lines, liver cancer tissues, and normal tissues adjacent to the cancer, and to explore the mechanism of miR-183-5p regulating liver cancer progression. The in vitro effects of miR-183-5p were evaluated by CCK-8, colony formation test, and wound healing test. Various databases were used to predict the target mRNA of miR-183-5p and verified by luciferase report analysis. In addition, the effects of miR-183-5p and its target gene on the survival of patients with liver cancer were also analyzed. Results: miR-183-5p was highly expressed in hepatocellular carcinoma cells and tissues, and was related to some clinicopathological features. MiR-183-5p can promote the proliferation and migration of liver cancer cells. Using the bioinformatics database, we proved that miR-183-5p is related to the survival of liver cancer patients. Insulin receptor substrate 1 (IRS1) is a target of miR-183-5p, and luciferase analysis confirmed that miR-183-5p combines with the 3′-untranslated region (3′-UTR) of IRS1. Conclusion: The miR-183-5p/IRS1 axis may be a new target for liver cancer research.

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