1. Academic Validation
  2. Integrative profiling strategies to guide personalized therapy in mantle cell lymphoma: a pilot study

Integrative profiling strategies to guide personalized therapy in mantle cell lymphoma: a pilot study

  • NPJ Precis Oncol. 2025 Nov 21;9(1):373. doi: 10.1038/s41698-025-01158-3.
Yang Liu # 1 Holly A Hill # 1 2 Yijing Li 1 Joseph McIntosh 1 Vivian Jiang 1 Fangfang Yan 1 Yixin Yao 1 Yue Fei 1 Jared Zhang 1 Lawrence Qu 1 Jun Yao 3 Preetesh Jain 1 Ken Chen 2 Michael Wang 4 5
Affiliations

Affiliations

  • 1 Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • 2 Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • 3 Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • 4 Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. [email protected].
  • 5 Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. [email protected].
  • # Contributed equally.
Abstract

Mantle cell lymphoma (MCL) responds to frontline therapy but is susceptible to relapse. While Bruton's tyrosine kinase inhibitors (BTKi) achieve high response rates, most patients eventually experience disease progression. Predicting responses to subsequent treatments remains challenging due to the lack of an established platform. Heterogeneity in gene alterations and cellular pathways contribute to resistance, complicating treatment approaches. Here, we present a multi-modal profiling platform, targeting key pathways rather than focusing on singular DNA-associated lesions. We identified dysregulated signaling pathways by performing gene expression profiling on 20 MCL samples using a custom MCL MATCH gene set and analyzed the data with gene-set variation analysis. We also screened 22 therapeutics in vitro to assess their efficacy. Whole exome Sequencing was conducted to identify prevalent and actionable mutations linked to enriched pathways. Finally, we tested selected therapeutics in patient-derived xenograft mouse models to predict potential response in corresponding patients. Based on our integrative profiling, we identified the top therapeutic candidates for three patients in this study. This integrative platform may help identify targeted therapies for BTKi-relapsed/refractory MCL patients in clinical settings.

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