4.6 Article

Gene Expression Signature Associated with Clinical Outcome in ALK-Positive Anaplastic Large Cell Lymphoma

Journal

CANCERS
Volume 13, Issue 21, Pages -

Publisher

MDPI
DOI: 10.3390/cancers13215523

Keywords

ALK(+) ALCL; predictive signature; relapse; clinical outcome

Categories

Funding

  1. Institut National du Cancer (PAIR Lymphomes project)
  2. Institut National du Cancer (TENOMIC project)
  3. INSERM
  4. Labex Toucan
  5. French Lymphopath Network, La ligue contre le cancer (Equipes Labelisee 2017-2021)
  6. Association Eva pour la vie
  7. Labex Toucan/Laboratoire d'Excellence Toulouse Cancer
  8. Fondation de France

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The study identified genes associated with clinical outcomes in ALK-positive anaplastic large cell lymphoma by analyzing gene expression profiling of 48 samples, particularly highlighting the potential role of the FN1 gene. Furthermore, FN1, along with other genes, was found to predict both prognosis and therapeutic response in anaplastic lymphomas.
Simple Summary Anaplastic large cell lymphomas associated with ALK translocation have a good outcome after CHOP treatment; however, the 2-year relapse rate remains at 30%. Microarray gene-expression profiling, high throughput RT-qPCR, and RNA sequencing of 48 ALK-positive anaplastic large cell lymphoma (ALK(+) ALCL) samples obtained at diagnosis enable the identification of genes associated with clinical outcome. More particularly, our molecular signatures indicate that the FN1 gene, a matrix key regulator, might also be involved in the prognosis and the therapeutic response in anaplastic lymphomas. Anaplastic large cell lymphomas associated with ALK translocation have a good outcome after CHOP treatment; however, the 2-year relapse rate remains at 30%. Microarray gene-expression profiling of 48 samples obtained at diagnosis was used to identify 47 genes that were differentially expressed between patients with early relapse/progression and no relapse. In the relapsing group, the most significant overrepresented genes were related to the regulation of the immune response and T-cell activation while those in the non-relapsing group were involved in the extracellular matrix. Fluidigm technology gave concordant results for 29 genes, of which FN1, FAM179A, and SLC40A1 had the strongest predictive power after logistic regression and two classification algorithms. In parallel with 39 samples, we used a Kallisto/Sleuth pipeline to analyze RNA sequencing data and identified 20 genes common to the 28 genes validated by Fluidigm technology-notably, the FAM179A and FN1 genes. Interestingly, FN1 also belongs to the gene signature predicting longer survival in diffuse large B-cell lymphomas treated with CHOP. Thus, our molecular signatures indicate that the FN1 gene, a matrix key regulator, might also be involved in the prognosis and the therapeutic response in anaplastic lymphomas.

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