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Usage Information

Destabilizing NEK2 overcomes resistance to proteasome inhibition in multiple myeloma
Reinaldo Franqui-Machin, Mu Hao, Hua Bai, Zhimin Gu, Xin Zhan, Hasem Habelhah, Yogesh Jethava, Lugui Qiu, Ivana Frech, Guido Tricot, Fenghuang Zhan
Reinaldo Franqui-Machin, Mu Hao, Hua Bai, Zhimin Gu, Xin Zhan, Hasem Habelhah, Yogesh Jethava, Lugui Qiu, Ivana Frech, Guido Tricot, Fenghuang Zhan
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Research Article Oncology

Destabilizing NEK2 overcomes resistance to proteasome inhibition in multiple myeloma

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Abstract

Drug resistance remains the key problem in cancer treatment. It is now accepted that each myeloma patient harbors multiple subclones and subclone dominance may change over time. The coexistence of multiple subclones with high or low chromosomal instability (CIN) signature causes heterogeneity and drug resistance with consequent disease relapse. In this study, using a tandem affinity purification–mass spectrometry (TAP-MS) technique, we found that NEK2, a CIN gene, was bound to the deubiquitinase USP7. Binding to USP7 prevented NEK2 ubiquitination resulting in NEK2 stabilization. Increased NEK2 kinase levels activated the canonical NF-κB signaling pathway through the PP1α/AKT axis. Newly diagnosed myeloma patients with activated NF-κB signaling through increased NEK2 activity had poorer event-free and overall survivals based on multiple independent clinical cohorts. We also found that NEK2 activated heparanase, a secreted enzyme, responsible for bone destruction in an NF-κB–dependent manner. Intriguingly, both NEK2 and USP7 inhibitors showed great efficacy in inhibiting myeloma cell growth and overcoming NEK2-induced and -acquired drug resistance in xenograft myeloma mouse models.

Authors

Reinaldo Franqui-Machin, Mu Hao, Hua Bai, Zhimin Gu, Xin Zhan, Hasem Habelhah, Yogesh Jethava, Lugui Qiu, Ivana Frech, Guido Tricot, Fenghuang Zhan

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 1,061 99
PDF 239 54
Figure 1,325 1
Supplemental data 235 3
Citation downloads 186 0
Totals 3,046 157
Total Views 3,203
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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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ISSN: 0021-9738 (print), 1558-8238 (online)

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