FoxN1-dependent thymic epithelial cells promote T-cell leukemia development

  1. Marinella N Ghezzo
  2. Mónica T Fernandes
  3. Ivette Pacheco-Leyva
  4. Pedro M Rodrigues
  5. Rui S Machado
  6. Marta A S Araújo
  7. Ravi K Kalathur
  8. Matthias E Futschik
  9. Nuno L Alves
  10. Nuno R dos Santos

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Abstract

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  1. PREreview

    This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/20617108.

    Major issues

    1. The study uses a partial Foxn1 deficiency model (Foxn1+/nu) rather than a complete loss-of-function model. Therefore, it remains unclear whether the observed effects are specifically due to reduced Foxn1 dosage or reflect broader changes in thymic development.

    2. The molecular mechanism linking Foxn1 alteration to changes in the thymic microenvironment is not fully explored. Direct analysis of Foxn1 downstream targets in thymic epithelial cells (e.g., chemokines and niche-supporting factors) would strengthen the mechanistic conclusions.

    3. The study does not investigate whether Foxn1-dependent changes affect normal T-cell education and central tolerance mechanisms, such as AIRE/Fezf2-mediated self-antigen presentation and negative selection.

    4. A rescue experiment restoring Foxn1 expression in thymic epithelial cells would provide stronger evidence for a causal role of Foxn1 in regulating the leukemia-supportive niche.

    Minor issues

    1. Additional characterization of thymic epithelial cell subsets would improve understanding of how Foxn1 reduction changes the stromal compartment.

    2. The study would benefit from measuring Foxn1 expression levels directly to confirm the degree of reduction in the experimental model.

    3. More detailed analysis of immune cell composition beyond leukemic populations could clarify whether Foxn1 alteration broadly affects immune homeostasis.

    Competing interests

    The author declares that they have no competing interests.

    Use of Artificial Intelligence (AI)

    The author declares that they used generative AI to come up with new ideas for their review.

  2. Version published to 10.1093/carcin/bgy127
  3. Version published to 10.1101/247015 on bioRxiv