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Usage Information

Targeting the CALR interactome in myeloproliferative neoplasms
Elodie Pronier, Paolo Cifani, Tiffany R. Merlinsky, Katharine Barr Berman, Amritha Varshini Hanasoge Somasundara, Raajit K. Rampal, John LaCava, Karen E. Wei, Friederike Pastore, Jesper L.V. Maag, Jane Park, Richard Koche, Alex Kentsis, Ross L. Levine
Elodie Pronier, Paolo Cifani, Tiffany R. Merlinsky, Katharine Barr Berman, Amritha Varshini Hanasoge Somasundara, Raajit K. Rampal, John LaCava, Karen E. Wei, Friederike Pastore, Jesper L.V. Maag, Jane Park, Richard Koche, Alex Kentsis, Ross L. Levine
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Research Article Hematology Oncology

Targeting the CALR interactome in myeloproliferative neoplasms

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Abstract

Mutations in the ER chaperone calreticulin (CALR) are common in myeloproliferative neoplasm (MPN) patients, activate the thrombopoietin receptor (MPL), and mediate constitutive JAK/STAT signaling. The mechanisms by which CALR mutations cause myeloid transformation are incompletely defined. We used mass spectrometry proteomics to identify CALR-mutant interacting proteins. Mutant CALR caused mislocalization of binding partners and increased recruitment of FLI1, ERP57, and CALR to the MPL promoter to enhance transcription. Consistent with a critical role for CALR-mediated JAK/STAT activation, we confirmed the efficacy of JAK2 inhibition on CALR-mutant cells in vitro and in vivo. Due to the altered interactome induced by CALR mutations, we hypothesized that CALR-mutant MPNs may be vulnerable to disruption of aberrant CALR protein complexes. A synthetic peptide designed to competitively inhibit the carboxy terminal of CALR specifically abrogated MPL/JAK/STAT signaling in cell lines and primary samples and improved the efficacy of JAK kinase inhibitors. These findings reveal what to our knowledge is a novel potential therapeutic approach for patients with CALR-mutant MPN.

Authors

Elodie Pronier, Paolo Cifani, Tiffany R. Merlinsky, Katharine Barr Berman, Amritha Varshini Hanasoge Somasundara, Raajit K. Rampal, John LaCava, Karen E. Wei, Friederike Pastore, Jesper L.V. Maag, Jane Park, Richard Koche, Alex Kentsis, Ross L. Levine

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Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
Text version 2,146 185
PDF 259 19
Figure 582 0
Supplemental data 156 31
Citation downloads 262 0
Totals 3,405 235
Total Views 3,640
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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