Journal of Cancer Genetics and Biomarkers

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Current Issue

The most recent peer-reviewed research published in the Journal of Cancer Genetics and Biomarkers.

Volume 2 Issue 1 2 articles Latest May 2026
In this issue

Latest articles

Every article is open access under CC BY 4.0 and carries a permanent Crossref DOI. Abstracts are author-supplied; follow any title or DOI for the full text.

  1. Research

    High-Throughput Complex Disease Modeling for Ethical Drug Discovery: Clinical Relevance of a NAM Platform for Cancer Biomarker Development

    Emma Dillier, Raquel Sousa, Tanja Kluser, Oliver Schicht, Marco P. Leu, Arne-C. Faisstcorr.

    Published
    Pages
    18-33
    Abstract

    The development of tumor biomarkers derived from blood, or its components, has become pivotal in advancing early cancer diagnosis. Malignant transformations induce cancer-specific alterations in the transcriptome, proteome, and secretome of tumor cells. Recent studies highlighted similar alterations in peripheral blood mononuclear cells (PBMCs) in cancer patients, which appear to mirror the state of transformation in tumor cells. These findings suggest an intercellular communication-driven mechanism rather than a systemic inflammatory response and, in addition to current ctDNA-based liquid biopsy biomarkers, point to a novel, simple, and highly robust approach for the early detection of cancer. Using this phenomenon to advance PBMC-based biomarker development, it will be essential to achieve 3D in vitro tumor models that reproduce a highly physiological tumor microenvironment (TME). In this study, an innovative modular 3D co-culturing approach was used to expose PBMCs to lung tumoroids under physiologically relevant conditions. Changes in DNA fragmentation of PBMCs in the presence of lung cancer were quantified and used as a biomarker, and validated against clinical data. Similar to the clinical observations, PBMCs exposed to lung tumoroids showed a significantly lower level of DNA fragmentation, demonstrating the model’s power to monitor cell-to-cell communication effects and support the development of blood-based biomarkers.

    How to cite
    Emma Dillier, Raquel Sousa, Tanja Kluser, Oliver Schicht, Marco P. Leu, Arne-C. Faisst (2026). High-Throughput Complex Disease Modeling for Ethical Drug Discovery: Clinical Relevance of a NAM Platform for Cancer Biomarker Development. Journal of Cancer Genetics and Biomarkers, 2(1), 18-33. https://doi.org/10.14302/issn.2572-3030.jcgb-26-6307
    Resolve the DOI ↗
    Show RIS / BibTeX
    TY  - JOUR
    AU  - Emma Dillier
    AU  - Raquel Sousa
    AU  - Tanja Kluser
    AU  - Oliver Schicht
    AU  - Marco P. Leu
    AU  - Arne-C. Faisst
    TI  - High-Throughput Complex Disease Modeling for Ethical Drug Discovery: Clinical Relevance of a NAM Platform for Cancer Biomarker Development
    JO  - Journal of Cancer Genetics and Biomarkers
    SN  - 2572-3030
    VL  - 2
    IS  - 1
    SP  - 18
    EP  - 33
    PY  - 2026
    DA  - 2026-05-29
    DO  - 10.14302/issn.2572-3030.jcgb-26-6307
    UR  - https://doi.org/10.14302/issn.2572-3030.jcgb-26-6307
    PB  - Open Access Pub
    ER  - 
    @article{jcgb2350,
      author  = {Emma Dillier and Raquel Sousa and Tanja Kluser and Oliver Schicht and Marco P. Leu and Arne-C. Faisst},
      title   = {High-Throughput Complex Disease Modeling for Ethical Drug Discovery: Clinical Relevance of a NAM Platform for Cancer Biomarker Development},
      journal = {Journal of Cancer Genetics and Biomarkers},
      volume  = {2},
      number  = {1},
      pages   = {18--33},
      year    = {2026},
      issn    = {2572-3030},
      doi     = {10.14302/issn.2572-3030.jcgb-26-6307},
      url     = {https://doi.org/10.14302/issn.2572-3030.jcgb-26-6307}
    }
  2. Research

    Dynamic MicroRNA-Expression in Plasma of Melanoma Patients Correlates With Progression, PD-L1 Status and Overall Survival

    Sarah DegenhardtORCIDcorr., Marc Bender, I-Peng Chen, Stefan Henning, Mouna Mhamdi-Ghodbani, Christin Starzonek, Peter Mohr, Christoffer Gebhardt, Klaus Pantel, Beate Volkmer, Rüdiger Greinert

    Published
    Pages
    1-17
    Abstract

    Melanoma treatment has improved significantly with the development of immune checkpoint inhibition (ICI), which has greatly enhanced the survival rates of patients with metastatic melanoma. However, a significant number of patients do not respond well to ICI treatment and experience progression, highlighting the critical need for practical means to track response. To address this, patterns of circulating miRNAs were studied in liquid biopsies of melanoma patients. A flow-cytometric test measured up to 63 different miRNAs at once. The study identified a combination of nine miRNAs capable of distinguishing between different stages of melanoma, particularly stage IV. Additionally, five miRNAs were pinpointed which are downregulated in patients who do not respond to ICI treatment; two miRNAs were found that correlate to the level of PD-L1 in tumor tissue, and low levels of miR-150-5p were linked to poorer overall survival. These findings suggest circulating miRNAs could serve as valuable markers to predict the effectiveness of ICI and inform treatment decisions, though further research is needed to confirm their clinical usefulness.

    How to cite
    Sarah Degenhardt, Marc Bender, I-Peng Chen, Stefan Henning, Mouna Mhamdi-Ghodbani, Christin Starzonek, Peter Mohr, Christoffer Gebhardt, Klaus Pantel, Beate Volkmer, Rüdiger Greinert (2024). Dynamic MicroRNA-Expression in Plasma of Melanoma Patients Correlates With Progression, PD-L1 Status and Overall Survival. Journal of Cancer Genetics and Biomarkers, 2(1), 1-17. https://doi.org/10.14302/issn.2572-3030.jcgb-24-4970
    Resolve the DOI ↗
    Show RIS / BibTeX
    TY  - JOUR
    AU  - Sarah Degenhardt
    AU  - Marc Bender
    AU  - I-Peng Chen
    AU  - Stefan Henning
    AU  - Mouna Mhamdi-Ghodbani
    AU  - Christin Starzonek
    AU  - Peter Mohr
    AU  - Christoffer Gebhardt
    AU  - Klaus Pantel
    AU  - Beate Volkmer
    AU  - Rüdiger Greinert
    TI  - Dynamic MicroRNA-Expression in Plasma of Melanoma Patients Correlates With Progression, PD-L1 Status and Overall Survival
    JO  - Journal of Cancer Genetics and Biomarkers
    SN  - 2572-3030
    VL  - 2
    IS  - 1
    SP  - 1
    EP  - 17
    PY  - 2024
    DA  - 2024-03-18
    DO  - 10.14302/issn.2572-3030.jcgb-24-4970
    UR  - https://doi.org/10.14302/issn.2572-3030.jcgb-24-4970
    PB  - Open Access Pub
    ER  - 
    @article{jcgb2093,
      author  = {Sarah Degenhardt and Marc Bender and I-Peng Chen and Stefan Henning and Mouna Mhamdi-Ghodbani and Christin Starzonek and Peter Mohr and Christoffer Gebhardt and Klaus Pantel and Beate Volkmer and Rüdiger Greinert},
      title   = {Dynamic MicroRNA-Expression in Plasma of Melanoma Patients Correlates With Progression, PD-L1 Status and Overall Survival},
      journal = {Journal of Cancer Genetics and Biomarkers},
      volume  = {2},
      number  = {1},
      pages   = {1--17},
      year    = {2024},
      issn    = {2572-3030},
      doi     = {10.14302/issn.2572-3030.jcgb-24-4970},
      url     = {https://doi.org/10.14302/issn.2572-3030.jcgb-24-4970}
    }
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