Literature DB >> 31023703

A niche-dependent myeloid transcriptome signature defines dormant myeloma cells.

Weng Hua Khoo1,2, Guy Ledergor3,4, Assaf Weiner3, Daniel L Roden5, Rachael L Terry1, Michelle M McDonald1,6, Ryan C Chai1, Kim De Veirman7, Katie L Owen8, Khatora S Opperman9,10, Kate Vandyke9,10, Justine R Clark9,10, Anja Seckinger11, Natasa Kovacic12, Akira Nguyen6,13, Sindhu T Mohanty1, Jessica A Pettitt1, Ya Xiao1, Alexander P Corr1,6, Christine Seeliger1, Mark Novotny14, Roger S Lasken14, Tuan V Nguyen1,6,15, Babatunde O Oyajobi16,17, Dana Aftab18, Alexander Swarbrick5,6, Belinda Parker8, Duncan R Hewett9,10, Dirk Hose11, Karin Vanderkerken7, Andrew C W Zannettino9,10, Ido Amit3, Tri Giang Phan6,13, Peter I Croucher1,2,6.   

Abstract

The era of targeted therapies has seen significant improvements in depth of response, progression-free survival, and overall survival for patients with multiple myeloma. Despite these improvements in clinical outcome, patients inevitably relapse and require further treatment. Drug-resistant dormant myeloma cells that reside in specific niches within the skeleton are considered a basis of disease relapse but remain elusive and difficult to study. Here, we developed a method to sequence the transcriptome of individual dormant myeloma cells from the bones of tumor-bearing mice. Our analyses show that dormant myeloma cells express a distinct transcriptome signature enriched for immune genes and, unexpectedly, genes associated with myeloid cell differentiation. These genes were switched on by coculture with osteoblastic cells. Targeting AXL, a gene highly expressed by dormant cells, using small-molecule inhibitors released cells from dormancy and promoted their proliferation. Analysis of the expression of AXL and coregulated genes in human cohorts showed that healthy human controls and patients with monoclonal gammopathy of uncertain significance expressed higher levels of the dormancy signature genes than patients with multiple myeloma. Furthermore, in patients with multiple myeloma, the expression of this myeloid transcriptome signature translated into a twofold increase in overall survival, indicating that this dormancy signature may be a marker of disease progression. Thus, engagement of myeloma cells with the osteoblastic niche induces expression of a suite of myeloid genes that predicts disease progression and that comprises potential drug targets to eradicate dormant myeloma cells.
© 2019 by The American Society of Hematology.

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Year:  2019        PMID: 31023703     DOI: 10.1182/blood.2018880930

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  43 in total

Review 1.  Macrophages in multiple myeloma: key roles and therapeutic strategies.

Authors:  Khatora S Opperman; Kate Vandyke; Peter J Psaltis; Jacqueline E Noll; Andrew C W Zannettino
Journal:  Cancer Metastasis Rev       Date:  2021-01-06       Impact factor: 9.264

2.  Method to Isolate Dormant Cancer Cells from Heterogeneous Populations.

Authors:  Julian A Preciado; Alptekin Aksan
Journal:  Methods Mol Biol       Date:  2022

3.  Exosomal DEK removes chemoradiotherapy resistance by triggering quiescence exit of breast cancer stem cells.

Authors:  Yao-Shun Yang; Xi-Zheng Jia; Qian-Yun Lu; Sun-Li Cai; Xue-Ting Huang; Shu-Hua Yang; Chris Wood; Yue-Hong Wang; Jiao-Jiao Zhou; Yi-Ding Chen; Jin-Shu Yang; Wei-Jun Yang
Journal:  Oncogene       Date:  2022-03-29       Impact factor: 9.867

4.  Mapping Phenotypic Plasticity upon the Cancer Cell State Landscape Using Manifold Learning.

Authors:  John G Lock; Smita Krishnaswamy; Christine L Chaffer; Daniel B Burkhardt; Beatriz P San Juan
Journal:  Cancer Discov       Date:  2022-08-05       Impact factor: 38.272

Review 5.  The dormant cancer cell life cycle.

Authors:  Tri Giang Phan; Peter I Croucher
Journal:  Nat Rev Cancer       Date:  2020-06-02       Impact factor: 60.716

6.  Protein structure-based gene expression signatures.

Authors:  Rayees Rahman; Nicole Zatorski; Jens Hansen; Yuguang Xiong; J G Coen van Hasselt; Eric A Sobie; Marc R Birtwistle; Evren U Azeloglu; Ravi Iyengar; Avner Schlessinger
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-11       Impact factor: 11.205

Review 7.  Slow-cycling (dormant) cancer cells in therapy resistance, cancer relapse and metastasis.

Authors:  Sukanya Basu; Yang Dong; Rahul Kumar; Collene Jeter; Dean G Tang
Journal:  Semin Cancer Biol       Date:  2021-05-09       Impact factor: 15.707

Review 8.  Innovative Approaches in the Battle Against Cancer Recurrence: Novel Strategies to Combat Dormant Disseminated Tumor Cells.

Authors:  Scott Sauer; Damon R Reed; Michael Ihnat; Robert E Hurst; David Warshawsky; Dalit Barkan
Journal:  Front Oncol       Date:  2021-04-27       Impact factor: 6.244

Review 9.  Tumor Dormancy: Implications for Invasion and Metastasis.

Authors:  Georgia Gomatou; Nikolaos Syrigos; Ioannis A Vathiotis; Elias A Kotteas
Journal:  Int J Mol Sci       Date:  2021-05-04       Impact factor: 5.923

Review 10.  Cancer Cell Dormancy in Metastasis.

Authors:  Matthew A Summers; Michelle M McDonald; Peter I Croucher
Journal:  Cold Spring Harb Perspect Med       Date:  2020-04-01       Impact factor: 6.915

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