Rewiring of Molecular Networks Induced by the Combination of Loratadine, Raloxifene, and Sorafenib Leads to the Identification of Clinically Relevant Therapeutic Targets in Hepatocellular Carcinoma

Background/Objectives: Hepatocellular carcinoma (HCC) is the most prevalent primary liver tumor and is often diagnosed at advanced stages with very poor therapeutic response, leading to high mortality. Thus, new therapeutic strategies and biomarkers are urgently needed. We previously showed that the combination of loratadine, raloxifene, and sorafenib exerts synergistic cytotoxicity on HCC cells. Here, we explored potential molecular mechanisms underlying the anticancer effects of this combination using multiomics analyses. Methods: We performed proteomic analyses based on mass spectrometry, transcriptomic analyses using the Clariom D Plus human microarray (Affymetrix), and metabolomic analyses based on nuclear magnetic resonance to investigate the profile changes induced by the drug combination in HuH7 cells. Bioinformatic analyses were applied to associate the omics changes with biological functions, molecular interactions, and clinical relevance in terms of patient survival. Results: We identified several molecules whose expression changed in response to treatment across the three omics profiles analyzed. Some of them were found to be involved in hallmarks of cancer, including sustained proliferation, evasion of growth suppressors, and resistance to cell death. Integrated multi-omics analyses revealed that the drug combination suppresses critical oncogenic drivers (C7orf50, NUP188, and HS2ST1) and that the mitotic cell cycle process, DNA synthesis and cholesterol biosynthesis are the primary pathways affected. Protein–protein interaction analysis revealed five key hubs (KIF2C, PCNA, TRIP13, NDC80, and RPA3), whose expression in HCC is associated with poor clinical prognosis. Conclusions: The combined treatment rewired molecular networks involved in HCC progression. These findings identify clinically relevant molecular targets associated with poor prognosis and provide mechanistic insights into the synergistic anticancer activity of this drug combination.

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Journal
Biomedicines
Published
2026-08-25
DOI
https://doi.org/10.3390/biomedicines14091898
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
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article
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article

Rewiring of Molecular Networks Induced by the Combination of Loratadine, Raloxifene, and Sorafenib Leads to the Identification of Clinically Relevant Therapeutic Targets in Hepatocellular Carcinoma

Javier Camacho, Julio Isael Pérez‐Carreón, Nancy Santos Martínez, José Iván Serrano-Contreras et al.
Biomedicines
Hepatocellular Carcinoma Treatment and Prognosis
article

Rewiring of Molecular Networks Induced by the Combination of Loratadine, Raloxifene, and Sorafenib Leads to the Identification of Clinically Relevant Therapeutic Targets in Hepatocellular Carcinoma

Javier Camacho, Julio Isael Pérez‐Carreón, Nancy Santos Martínez, José Iván Serrano-Contreras, Georgina Hernández‐Montes, L. Gerardo Zepeda, María Eugenia Mendoza‐Garrido, Cecilia Bañuelos, Fernanda Villarruel-Melquiades, Martha Noyola-Díaz, Estefania de Jesús Terán‐Sánchez
article en

Abstract

Background/Objectives: Hepatocellular carcinoma (HCC) is the most prevalent primary liver tumor and is often diagnosed at advanced stages with very poor therapeutic response, leading to high mortality. Thus, new therapeutic strategies and biomarkers are urgently needed. We previously showed that the combination of loratadine, raloxifene, and sorafenib exerts synergistic cytotoxicity on HCC cells. Here, we explored potential molecular mechanisms underlying the anticancer effects of this combination using multiomics analyses. Methods: We performed proteomic analyses based on mass spectrometry, transcriptomic analyses using the Clariom D Plus human microarray (Affymetrix), and metabolomic analyses based on nuclear magnetic resonance to investigate the profile changes induced by the drug combination in HuH7 cells. Bioinformatic analyses were applied to associate the omics changes with biological functions, molecular interactions, and clinical relevance in terms of patient survival. Results: We identified several molecules whose expression changed in response to treatment across the three omics profiles analyzed. Some of them were found to be involved in hallmarks of cancer, including sustained proliferation, evasion of growth suppressors, and resistance to cell death. Integrated multi-omics analyses revealed that the drug combination suppresses critical oncogenic drivers (C7orf50, NUP188, and HS2ST1) and that the mitotic cell cycle process, DNA synthesis and cholesterol biosynthesis are the primary pathways affected. Protein–protein interaction analysis revealed five key hubs (KIF2C, PCNA, TRIP13, NDC80, and RPA3), whose expression in HCC is associated with poor clinical prognosis. Conclusions: The combined treatment rewired molecular networks involved in HCC progression. These findings identify clinically relevant molecular targets associated with poor prognosis and provide mechanistic insights into the synergistic anticancer activity of this drug combination.

BiomedicinesVol. 14(9)
Universidad Autónoma de la Ciudad de México (MX), Hammersmith Hospital (GB), National Institute of Genomic Medicine (MX), Institut Polytechnique de Bordeaux (FR), Imperial College London (GB), Instituto Politécnico Nacional (MX), Universidad Nacional Autónoma de México (MX)
Good health and well-being
Openalex Percentile: Top 12%
Hepatocellular Carcinoma Treatment and Prognosis
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