Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Differences Between Sorafenib and Lenvatinib Treatment from Genetic and Clinical Perspectives for Patients with Hepatocellular Carcinoma.

Lei Wang | Lei Wang | Bo Xiao | Mingxuan Cui | Bo Zhang
Medical science monitor : international medical journal of experimental and clinical research | 2022

BACKGROUND The aim of this work was to systematically compare the differences between sorafenib and lenvatinib for patients with hepatocellular carcinoma (HCC) from genetic and clinical perspectives. MATERIAL AND METHODS The mRNA and miRNA sequencing information of patients with HCC treated with either sorafenib or lenvatinib was analyzed using differential expression and a protein-protein interaction assay. The clinical manifestations and adverse events of the 2 drugs were also investigated. RESULTS Compared with patients with HCC treated with sorafenib, patients treated with lenvatinib developed 8 differentially expressed genes (DEGs, FGF4, FGF23, UNC13C, RIMBP2, STXBP5L, PHOX2B, NEUROD4, and POU4F2) and 3 miRNAs (DEMs, has-miR-548ah, has-miR-888, and has-miR-196a-1), of which hsa-miR-548 regulated 4 target genes, the largest number among the 3 miRNAs. The functions of these DEMs and DEGs were verified by external experiments in the HCC cell line Hep3B2.1-7. We further investigated the adverse events of the drugs for patients with advanced HCC in clinical treatment. The patients in the sorafenib group developed less frequent symptoms of hypertension and diarrhea. Also, the frequency of hand-foot skin reactions in patients treated with lenvatinib was lower than that of patients treated with sorafenib (P<0.05). There were no significant differences in nausea, fatigue, frequent urination, and dizziness (P>0.05). CONCLUSIONS In a time of increasing interest in chemotherapy drug treatments for patients with HCC, this study provided a better understanding of the clinical evaluations of sorafenib and lenvatinib.

Pubmed ID: 35473892

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

None

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


Cytoscape (tool)

RRID:SCR_003032

Software platform for complex network analysis and visualization. Used for visualization of molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data.

View all literature mentions

STRING (tool)

RRID:SCR_005223

Database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations and are derived from four sources: Genomic Context, High-throughput experiments, (Conserved) Coexpression, and previous knowledge. STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 5''214''234 proteins from 1133 organisms. (2013)

View all literature mentions

FISHER (tool)

RRID:SCR_009181

THIS RESOURCE IS NO LONGER IN SERVICE, documented on February 1st, 2022. Software application for genetic analysis of classical biometric traits like blood pressure or height that are caused by a combination of polygenic inheritance and complex environmental forces. (entry from Genetic Analysis Software)

View all literature mentions

miRDB (tool)

RRID:SCR_010848

An online database for miRNA target prediction and functional annotations.

View all literature mentions

edgeR (tool)

RRID:SCR_012802

Bioconductor software package for Empirical analysis of Digital Gene Expression data in R. Used for differential expression analysis of RNA-seq and digital gene expression data with biological replication.

View all literature mentions