scholarly journals A scoring model based on ferroptosis genes for prognosis and immunotherapy response prediction and tumor microenvironment evaluation in liver hepatocellular carcinoma

Aging ◽  
2021 ◽  
Author(s):  
Lei Gao ◽  
Juan Xue ◽  
Xiaomin Liu ◽  
Lei Cao ◽  
Ruifang Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Microenvironment ◽  
Response Prediction ◽  
Scoring Model ◽  
Model Based ◽  
Liver Hepatocellular Carcinoma

scholarly journals A scoring model based on plasma fibrinogen concentration for predicting recurrence of hepatocellular carcinoma after liver transplantation

2019 ◽  
Vol 3 (3-4) ◽  
pp. 234-239 ◽  
Author(s):  
Kai-Ning Zeng ◽  
Ying-Cai Zhang ◽  
Gen-Shu Wang ◽  
Jian Zhang ◽  
Yi-Nan Deng ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Transplantation ◽  
Plasma Fibrinogen ◽  
Fibrinogen Concentration ◽  
Scoring Model ◽  
Model Based

scholarly journals Novel Prognostic Markers for Liver Hepatocellular Carcinoma and Their Roles in Immune Infiltration of the Tumor Microenvironment

2021 ◽  
Author(s):  
Meihai Deng ◽  
Hao Liang ◽  
Kunpeng Hu ◽  
Zhaozhong Zhong ◽  
Zhiyong Xiong ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
T Cells ◽  
Tumor Microenvironment ◽  
Immune Cells ◽  
Rna Seq ◽  
Hub Genes ◽  
Novel Biomarkers ◽  
Liver Hepatocellular Carcinoma ◽  
Memory Cd4 T Cells

Abstract Background: Liver hepatocellular carcinoma (LIHC) is one of the most common malignant cancers worldwide, the overall prognosis of LIHC remains unsatisfactory. Valuable prognostic biomarkers are still urgently needed for LIHC. This study aimed to explore hub genes associated with the prognosis of LIHC and tumor microenvironmental immune infiltration, providing potential prognostic biomarker and therapeutic target for LIHC. Methods: RNA-seq counts data for LIHC samples were obtained from TCGA database. RNA-seq counts data for normal liver samples were obtained from GTEx database. Weighted gene co-expression network analysis (WGCNA) was used to cluster differentially expressed genes with similar expression profiles to form modules and significant modules and key genes were screened. Next, these genes was verified by cox analyses and overall survival analysis. Further, CIBERSORT was used to explore the relationship between these genes and tumor infiltrating immune cells. Results: A total number of 2661 significant DEGs were included for consensus WGCNA analysis, which identified 6 modules. Blue module (r=0.85, p<0.0001) showed high relationship with LIHC, which included 400 genes. After the overall survival analyses of hub genes, CDC20, CDCA5, CDCA8, KIF2C and KIFC1 were identified as five potential marker genes, which would result in an unfavorable prognosis in LIHC. Further CIBERSORT analysis showed these novel biomarkers expression levels in LIHC were positively correlated with activated memory CD4+ T cells, follicular helper T cells, regulatory T cells and macrophages M0. While, resting memory CD4+ T cells, monocytes, macrophages M2, resting mast cells showed a negative correlation with the 5 novel biomarkers expression levels. Conclusions: The study screened 5 genes with marked prognostic capability for LIHC and found these genes were correlated with the infiltration of immune cells in LIHC tumor microenvironment. The findings might provide a more detailed molecular mechanism underlying LIHC occurrence and progression, holding promise for acting as potential biomarkers and therapeutic targets.

Status and Development of The Tumor Microenvironment in Hepatocellular Carcinoma*

2012 ◽  
Vol 39 (5) ◽  
pp. 416-422
Author(s):  
Zhi-Lei LIU ◽  
Wei SUN ◽  
Fu-Chu HE ◽  
Xian-Ling CONG ◽  
Ying JIANG
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Microenvironment

Biomarker Identification for Liver Hepatocellular Carcinoma and Cholangiocarcinoma Based on Gene Regulatory Network Analysis

2020 ◽  
Vol 15 ◽  
Author(s):  
Qiuyan Huo ◽  
Yuying Ma ◽  
Yu Yin ◽  
Guimin Qin
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regulatory Networks ◽  
Primary Liver Cancer ◽  
Endocrine Resistance ◽  
Molecular Characteristics ◽  
Network Clustering ◽  
Resistance Pathway ◽  
Gene Regulatory ◽  
Tf Gene ◽  
Liver Hepatocellular Carcinoma

Aims: We aimed to find common and distinct molecular characteristics between LIHC and CHOL based on miRNA-TF-gene FFL. Background: Liver hepatocellular carcinoma (LIHC) and cholangiocarcinoma (CHOL) are two main histological subtypes of primary liver cancer with a unified molecular landscape, and feed-forward loops (FFLs) have been shown to be relevant in these complex diseases. Objective: To date, there has been no comparative analysis of the pathogenesis of LIHC and CHOL based on regulatory relationships. Therefore, we investigated the common and distinct regulatory properties of LIHC and CHOL in terms of gene regulatory networks. Method: Based on identified FFLs and an analysis of pathway enrichment, we constructed pathway-specific co-expression networks and further predicted biomarkers for these cancers by network clustering. Resul: We identified 20 and 36 candidate genes for LIHC and CHOL, respectively. The literature from PubMed supports the reliability of our results. Conclusion: Our results indicated that the hsa01522-Endocrine resistance pathway was associated with both LIHC and CHOL. Additionally, six genes (SPARC, CTHRC1, COL4A1, EDIL3, LAMA4 and OLFML2B) were predicted to be highly associated with both cancers, of which SPARC was significantly highly ranked. Other: In addition, we inferred that the Collagen gene family, which appeared more frequently in our overall prediction results, might be closely related to cancer development.

scholarly journals Is the Rationale of Anatomical Liver Resection for Hepatocellular Carcinoma Universally Adoptable? A Hypothesis-Driven Review

Medicina ◽  
2021 ◽  
Vol 57 (2) ◽  
pp. 131
Author(s):  
Young-Jen Lin ◽  
Cheng-Maw Ho
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Microenvironment ◽  
Surgical Resection ◽  
Tumor Recurrence ◽  
Hepatic Metastases ◽  
Vascular Supply ◽  
Tumor Ablation ◽  
Supporting Evidence ◽  
En Bloc ◽  
Margin Width

Surgical resection is the first-line curative treatment modality for resectable hepatocellular carcinoma (HCC). Anatomical resection (AR), described as systematic removal of a liver segment confined by tumor-bearing portal tributaries, may improve survival by reducing the risk of tumor recurrence compared with non-AR. In this article, we propose the rationale for AR and its universal adoption by providing supporting evidence from the advanced understanding of a tumor microenvironment and accumulating clinical experiences of locoregional tumor ablation therapeutics. AR may be advantageous because it completely removes the en-bloc by interrupting tumor vascular supply and thus extirpates the spreading of tumor microthrombi, if they ever exist, within the supplying portal vein. However, HCC is a hypervascular tumor that can promote neoangiogenesis in the local tumor microenvironment, which in itself can break through the anatomical boundary within the liver and even retrieve nourishment from extrahepatic vessels, such as inferior phrenic or omental arteries. Additionally, increasing clinical evidence for locoregional tumor ablation therapies, such as radiofrequency ablation, predominantly performed as a non-anatomical approach, suggests comparable outcomes for surgical resection, particularly in small HCC and colorectal, hepatic metastases. Moreover, liver transplantation for HCC, which can be considered as AR of the whole liver followed by implantation of a new graft, is not universally free from post-transplant tumor recurrence. Overall, AR should not be considered the gold standard among all surgical resection methods. Surgical resection is fundamentally reliant on choosing the optimal margin width to achieve en-bloc tumor niche removal while balancing between oncological radicality and the preservation of postoperative liver function. The importance of this is to liberate surgical resilience in hepatocellular carcinoma. The overall success of HCC treatment is determined by the clearance of the theoretical niche. Developing biomolecular-guided navigation device/technologies may provide surgical guidance toward the total removal of microscopic tumor niche to achieve superior oncological outcomes.

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