Back

Integrative Computational Analysis of VCX2 in Hepatocellular Carcinoma: From Potential Biomarker Discovery to Therapeutic Targeting with Peruvian Natural Products

Goyzueta-Mamani, L. D.; Barazorda-Ccahuana, H. L.; Candia-Puma, M. A.; Hamdy, N. M.; Fumagalli, M. A. C.

2025-02-26 bioinformatics
10.1101/2025.02.20.639333 bioRxiv
Show abstract

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality, often developing in the context of chronic liver disease, fibrosis, and cirrhosis. Identifying novel biomarkers with diagnostic and therapeutic potential is essential, particularly those relevant across multiple cancer types. This study integrates single-cell RNA sequencing (scRNA-seq) data from healthy and diseased liver tissues, analyzing different cellular lineages to identify genes involved in fibrosis, angiogenesis, immune modulation, and apoptosis regulation. Uniform Manifold Approximation and Projection (UMAP) clustering, differential gene expression (DEG) analysis, and protein-protein interaction (PPI) network construction were employed to identify genes contributing to tumor progression and metabolic reprogramming. Key genes, including Transmembrane BAX Inhibitor Motif Containing 4 (TMBIM4), Regulator of G-protein signaling 5 (RGS5), CEA Cell Adhesion Molecule 7 (CEACAM7), and Variable Charge X-Linked 2 (VCX2), exhibited significant roles in tumorigenesis and chromosomal stability. VCX2, a cancer/testis antigen, emerged as a potential biomarker and druggable target due to its altered expression among multiple cancers. Structural modeling and molecular docking (MD) of VCX2 identified a high affinity binding pocket, guiding a virtual screening of Peruvian natural products. Luteolin-5-O-glucoside, from Equisetum arvense, was identified as the most promising compound, showing a strong docking score (-7.42 kcal/mol) and favorable binding free energy ({Delta}G_bind = -40.13 kcal/mol). MMGBSA calculations revealed stabilizing hydrogen bonds with PRO91, GLU97, and GLU109, reinforcing its strong binding stability. These findings position VCX2 as a promising target for HCC therapy and suggest Luteolin-5-O-glucoside as a lead compound with high drug-like potential. Further studies should focus on experimental validation, molecular dynamics simulations, and structure-activity relationship (SAR) optimization to advance VCX2-targeted therapies. Highlight statementsO_LIVCX2 as a Biomarker exhibited differential expressions in HCC versus healthy liver tissue and a suggested role in tumor progression and chromosomal stability. C_LIO_LILuteolin-5-O-glucoside from Equisetum arvense was identified as a promising compound: strong docking score (-7.42 kcal/mol), favorable binding free energy ({Delta}G_bind = -40.13 kcal/mol), and stabilized interactions with key amino acids (PRO91, GLU97, GLU109). C_LIO_LIVCX2 may serve as an oncogenic driver; small molecule inhibition could desensitize tumor cells that need further refinement and validation of structural models due to lack of experimentally resolved crystal structure. C_LIO_LIVCX2 is a novel biomarker and drug target for HCC with Luteolin-5-O-glucoside presents potential for targeted therapy, paving the way for precision medicine approaches. C_LI

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
International Journal of Molecular Sciences
494 papers in training set
Top 0.1%
15.4%
2
PLOS ONE
5266 papers in training set
Top 24%
6.9%
3
Computational and Structural Biotechnology Journal
242 papers in training set
Top 0.4%
5.6%
4
Molecules
39 papers in training set
Top 0.1%
5.6%
5
Briefings in Bioinformatics
354 papers in training set
Top 2%
4.9%
6
Computers in Biology and Medicine
128 papers in training set
Top 0.8%
4.4%
7
Frontiers in Oncology
103 papers in training set
Top 1.0%
3.6%
8
Cancers
213 papers in training set
Top 2%
2.4%
9
Advanced Science
286 papers in training set
Top 4%
2.2%
50% of probability mass above
10
International Journal of Biological Sciences
10 papers in training set
Top 0.1%
2.2%
11
Scientific Reports
3612 papers in training set
Top 50%
1.9%
12
Cells
249 papers in training set
Top 3%
1.8%
13
Molecular Oncology
55 papers in training set
Top 0.7%
1.7%
14
Genomics, Proteomics & Bioinformatics
172 papers in training set
Top 1%
1.7%
15
PLOS Computational Biology
1863 papers in training set
Top 15%
1.5%
16
Genes
144 papers in training set
Top 2%
1.5%
17
Frontiers in Immunology
638 papers in training set
Top 6%
1.5%
18
Genomics
64 papers in training set
Top 0.9%
1.5%
19
Biochimie
25 papers in training set
Top 0.4%
1.4%
20
Biochemistry and Biophysics Reports
30 papers in training set
Top 0.6%
1.4%
21
Viruses
332 papers in training set
Top 3%
1.1%
22
Biomolecules
100 papers in training set
Top 2%
1.1%
23
Life Sciences
27 papers in training set
Top 0.9%
1.1%
24
The FEBS Journal
93 papers in training set
Top 2%
1.0%
25
Biology
45 papers in training set
Top 0.8%
0.9%
26
Bioscience Reports
27 papers in training set
Top 1%
0.9%
27
BMC Cancer
67 papers in training set
Top 2%
0.9%
28
Frontiers in Molecular Biosciences
102 papers in training set
Top 2%
0.9%
29
eLife
5828 papers in training set
Top 64%
0.9%
30
Computational Biology and Chemistry
28 papers in training set
Top 1.0%
0.9%