Harnessing Plasma Biomarkers to Predict Immunotherapy Outcomes in Hepatocellular Carcinoma: The Role of cfDNA, ctDNA, and Cytokines

Immunotherapy has improved survival in patients with advanced hepatocellular carcinoma (HCC); yet, objective radiological responses occur in only about 20% of cases, suggesting variable benefits. This study aimed to identify serologic markers predictive of response to immune checkpoint inhibitors (ICIs). A cohort of 38 advanced HCC patients receiving immunotherapy was prospectively analyzed. Levels of cell-free DNA (cfDNA), circulating tumor DNA (ctDNA), and cytokines were measured pre-treatment and three months post-treatment initiation. Genomic profiling of ctDNA was also conducted. Baseline levels of cfDNA and ctDNA effectively discriminated HCC patients based on their radiological response to ICIs. Additionally, individuals with pathologic mutations in the <i>CDKN2A</i> gene exhibited significantly reduced survival. Patients with progressive disease (PD) as their best radiological response had significantly fewer copy number variations (CNVs) than those with a radiological response. Furthermore, levels of IL10, PD1, and TGFβ assessed after three months of treatment showed significant variations correlating with survival status. In conclusion, the analysis of cfDNA, ctDNA, and cytokines may improve treatment selection for HCC patients by predicting their expected response to immunotherapies.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-03-20
DOI
https://doi.org/10.3390/ijms26062794
Citations
4
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
3.75

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article

Harnessing Plasma Biomarkers to Predict Immunotherapy Outcomes in Hepatocellular Carcinoma: The Role of cfDNA, ctDNA, and Cytokines

Francisco Rodríguez-Frías, Xavier Merino, María Bermúdez-Ramos, Jose‐Ezequiel Martín et al.
4 citations
International Journal of Molecular Sciences
Cancer Genomics and Diagnostics
3.75
article

Harnessing Plasma Biomarkers to Predict Immunotherapy Outcomes in Hepatocellular Carcinoma: The Role of cfDNA, ctDNA, and Cytokines

Francisco Rodríguez-Frías, Xavier Merino, María Bermúdez-Ramos, Jose‐Ezequiel Martín, Mònica Pons, Beatriz Mínguez, Elena Vargas‐Accarino, Mónica Higuera, Ana M. Aransay, María Torrens, Agnès Soriano-Varela
article en
4 citations

Abstract

Immunotherapy has improved survival in patients with advanced hepatocellular carcinoma (HCC); yet, objective radiological responses occur in only about 20% of cases, suggesting variable benefits. This study aimed to identify serologic markers predictive of response to immune checkpoint inhibitors (ICIs). A cohort of 38 advanced HCC patients receiving immunotherapy was prospectively analyzed. Levels of cell-free DNA (cfDNA), circulating tumor DNA (ctDNA), and cytokines were measured pre-treatment and three months post-treatment initiation. Genomic profiling of ctDNA was also conducted. Baseline levels of cfDNA and ctDNA effectively discriminated HCC patients based on their radiological response to ICIs. Additionally, individuals with pathologic mutations in the <i>CDKN2A</i> gene exhibited significantly reduced survival. Patients with progressive disease (PD) as their best radiological response had significantly fewer copy number variations (CNVs) than those with a radiological response. Furthermore, levels of IL10, PD1, and TGFβ assessed after three months of treatment showed significant variations correlating with survival status. In conclusion, the analysis of cfDNA, ctDNA, and cytokines may improve treatment selection for HCC patients by predicting their expected response to immunotherapies.

International Journal of Molecular SciencesVol. 26(6)
Universitat Autònoma de Barcelona (ES), Instituto de Salud Carlos III (ES), Vall d'Hebron Institut de Recerca (ES), CIC bioGUNE (ES), Vall d'Hebron Hospital Universitari (ES), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (ES)
European Commission, Instituto de Salud Carlos III
Reduced inequalities
Openalex Percentile: Top 7%
Cancer Genomics and Diagnostics
3.75
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