IL7-receptor expression is frequent in T-cell acute lymphoblastic leukemia and predicts sensitivity to JAK-inhibition Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.1182/blood.2022017948
T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematological malignancy with a dismal prognosis related to refractory/relapsing diseases, raising the need for new targeted-therapies. Activating mutations of the IL7-receptor pathway genes (IL7Rp) play a proven leukemia-supportive role in T-ALL. JAK-inhibitors such as ruxolitinib have recently demonstrated preclinical efficacy. However, prediction markers for sensitivity to JAK-inhibitors are still lacking. Herein, we show that IL7R (CD127) expression is more frequent (~70%) than IL7Rp-mutations in T-ALL (~30%). We compared the so-called non-expressers (no IL7R-expression/IL7Rp-mutation), expressers (IL7R-expression without IL7Rp-mutation) and mutants (IL7Rp-mutations). Integrative multi-omics analysis outlined IL7R-deregulation in virtually all T-ALL subtypes, at the epigenetic-level in non-expressers, genetic-level in mutants, and post-transcriptional level in expressers. Ex-vivo data using primary-derived xenografts support that IL7Rp is functional whenever the IL7R is expressed, regardless of the IL7Rp mutational status. Consequently, ruxolitinib impaired T-ALL survival in both expressers and mutants. Interestingly, we show that expressers displayed ectopic IL7R-expression and IL7Rp-addiction conferring a deeper sensitivity to ruxolitinib. Conversely, mutants were more sensitive to venetoclax than expressers. Overall, combination of ruxolitinib and venetoclax resulted in synergistic effects in both groups. We illustrate the clinical relevance of this association by reporting achievement of complete remission in two patients with refractory/relapsed-T-ALL. This provides proof of concept for translation of this strategy into clinics as bridge to transplant. Altogether, IL7R-expression can be used as a biomarker for sensitivity to JAK-inhibition, thereby expanding the fraction of T-ALL patients eligible to ruxolitinib up to nearly ~70% of T-ALL.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1182/blood.2022017948
- https://ashpublications.org/blood/article-pdf/142/2/158/2062650/blood_bld-2022-017948-main.pdf
- OA Status
- bronze
- Cited By
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4362676602
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4362676602Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1182/blood.2022017948Digital Object Identifier
- Title
-
IL7-receptor expression is frequent in T-cell acute lymphoblastic leukemia and predicts sensitivity to JAK-inhibitionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-06Full publication date if available
- Authors
-
Lucien Courtois, Aurélie Cabannes‐Hamy, Rathana Kim, Marine Delecourt, Antoine Pinton, Guillaume Charbonnier, Mélanie Féroul, Charlotte Smith, Giulia Tueur, Cecile Pivert, Estelle Balducci, Mathieu Simonin, Laure Hélène Angel, Salvatore Spicuglia, Nicolas Boissel, Guillaume P. Andrieu, Vahid Asnafi, Philippe Rousselot, Ludovic LhermitteList of authors in order
- Landing page
-
https://doi.org/10.1182/blood.2022017948Publisher landing page
- PDF URL
-
https://ashpublications.org/blood/article-pdf/142/2/158/2062650/blood_bld-2022-017948-main.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://ashpublications.org/blood/article-pdf/142/2/158/2062650/blood_bld-2022-017948-main.pdfDirect OA link when available
- Concepts
-
Biology, Interleukin-7 receptor, Ruxolitinib, Somatic evolution in cancer, Cancer research, Oncology, Internal medicine, Immunology, Genetics, Medicine, T cell, Cancer, Bone marrow, Immune system, Myelofibrosis, IL-2 receptorTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
27Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 13, 2024: 12, 2023: 2Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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