Literature DB >> 34518309

Single-Cell Profiling Reveals Metabolic Reprogramming as a Resistance Mechanism in BRAF-Mutated Multiple Myeloma.

Birgit Knoechel1,2,3, Jens G Lohr4,1,2, Johannes M Waldschmidt5,1,2, Jake A Kloeber5, Praveen Anand5,1,2, Julia Frede5,1,2, Antonis Kokkalis5,1,2, Valeriya Dimitrova1,2,3, Sayalee Potdar3, Monica S Nair5, Tushara Vijaykumar5, Nam Gyu Im1,2,3, Amy Guillaumet-Adkins1,2,3, Nitish Chopra6, Hannah Stuart5,1,2, Lillian Budano1,6, Noori Sotudeh5,1,2, Guangwu Guo5,1,2, Clemens Grassberger1,6, Andrew J Yee1,6, Jacob P Laubach5,1,7, Paul G Richardson5,1, Kenneth C Anderson5,1,7, Noopur S Raje1,6.   

Abstract

PURPOSE: Although remarkably effective in some patients, precision medicine typically induces only transient responses despite initial absence of resistance-conferring mutations. Using BRAF-mutated myeloma as a model for resistance to precision medicine we investigated if BRAF-mutated cancer cells have the ability to ensure their survival by rapidly adapting to BRAF inhibitor treatment. EXPERIMENTAL
DESIGN: Full-length single-cell RNA (scRNA) sequencing (scRNA-seq) was conducted on 3 patients with BRAF-mutated myeloma and 1 healthy donor. We sequenced 1,495 cells before, after 1 week, and at clinical relapse to BRAF/MEK inhibitor treatment. We developed an in vitro model of dabrafenib resistance using genetically homogeneous single-cell clones from two cell lines with established BRAF mutations (U266, DP6). Transcriptional and epigenetic adaptation in resistant cells were defined by RNA-seq and H3K27ac chromatin immunoprecipitation sequencing (ChIP-seq). Mitochondrial metabolism was characterized by metabolic flux analysis.
RESULTS: Profiling by scRNA-seq revealed rapid cellular state changes in response to BRAF/MEK inhibition in patients with myeloma and cell lines. Transcriptional adaptation preceded detectable outgrowth of genetically discernible drug-resistant clones and was associated with widespread enhancer remodeling. As a dominant vulnerability, dependency on oxidative phosphorylation (OxPhos) was induced. In treated individuals, OxPhos was activated at the time of relapse and showed inverse correlation to MAPK activation. Metabolic flux analysis confirmed OxPhos as a preferential energetic resource of drug-persistent myeloma cells.
CONCLUSIONS: This study demonstrates that cancer cells have the ability to rapidly adapt to precision treatments through transcriptional state changes, epigenetic adaptation, and metabolic rewiring, thus facilitating the development of refractory disease while simultaneously exposing novel vulnerabilities. ©2021 American Association for Cancer Research.

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Year:  2021        PMID: 34518309      PMCID: PMC8639639          DOI: 10.1158/1078-0432.CCR-21-2040

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   13.801


  53 in total

1.  Interferon γ is a strong, STAT1-dependent direct inducer of BCL6 expression in multiple myeloma cells.

Authors:  Dorina Ujvari; Noemi Nagy; Harsha S Madapura; Tomasz Kallas; Marijke C L Kröhnke; Leif Stenke; Eva Klein; Daniel Salamon
Journal:  Biochem Biophys Res Commun       Date:  2018-03-03       Impact factor: 3.575

2.  Full-length RNA-seq from single cells using Smart-seq2.

Authors:  Simone Picelli; Omid R Faridani; Asa K Björklund; Gösta Winberg; Sven Sagasser; Rickard Sandberg
Journal:  Nat Protoc       Date:  2014-01-02       Impact factor: 13.491

3.  NEDD8 Inhibition Overcomes CKS1B-Induced Drug Resistance by Upregulation of p21 in Multiple Myeloma.

Authors:  Junwei Huang; Yi Zhou; Gregory S Thomas; Zhimin Gu; Ye Yang; Hongwei Xu; Guido Tricot; Fenghuang Zhan
Journal:  Clin Cancer Res       Date:  2015-07-08       Impact factor: 12.531

4.  Inhibition of mutated, activated BRAF in metastatic melanoma.

Authors:  Keith T Flaherty; Igor Puzanov; Kevin B Kim; Antoni Ribas; Grant A McArthur; Jeffrey A Sosman; Peter J O'Dwyer; Richard J Lee; Joseph F Grippo; Keith Nolop; Paul B Chapman
Journal:  N Engl J Med       Date:  2010-08-26       Impact factor: 91.245

5.  GCS-100, a novel galectin-3 antagonist, modulates MCL-1, NOXA, and cell cycle to induce myeloma cell death.

Authors:  Matthew J Streetly; Lenushka Maharaj; Simon Joel; Steve A Schey; John G Gribben; Finbarr E Cotter
Journal:  Blood       Date:  2010-02-26       Impact factor: 22.113

6.  Differential human multiple myeloma cell line responsiveness to interferon-alpha. Analysis of transcription factor activation and interleukin 6 receptor expression.

Authors:  D F Jelinek; K M Aagaard-Tillery; B K Arendt; T Arora; R C Tschumper; J J Westendorf
Journal:  J Clin Invest       Date:  1997-02-01       Impact factor: 14.808

7.  Targeting the metabolic plasticity of multiple myeloma with FDA-approved ritonavir and metformin.

Authors:  Sevim Dalva-Aydemir; Richa Bajpai; Maylyn Martinez; Kehinde U A Adekola; Irawati Kandela; Changyong Wei; Seema Singhal; Jennifer E Koblinski; Noopur S Raje; Steven T Rosen; Mala Shanmugam
Journal:  Clin Cancer Res       Date:  2014-12-26       Impact factor: 12.531

8.  BCL-2 inhibition targets oxidative phosphorylation and selectively eradicates quiescent human leukemia stem cells.

Authors:  Eleni D Lagadinou; Alexander Sach; Kevin Callahan; Randall M Rossi; Sarah J Neering; Mohammad Minhajuddin; John M Ashton; Shanshan Pei; Valerie Grose; Kristen M O'Dwyer; Jane L Liesveld; Paul S Brookes; Michael W Becker; Craig T Jordan
Journal:  Cell Stem Cell       Date:  2013-01-17       Impact factor: 24.633

9.  Remodeling of the enhancer landscape during macrophage activation is coupled to enhancer transcription.

Authors:  Minna U Kaikkonen; Nathanael J Spann; Sven Heinz; Casey E Romanoski; Karmel A Allison; Joshua D Stender; Hyun B Chun; David F Tough; Rab K Prinjha; Christopher Benner; Christopher K Glass
Journal:  Mol Cell       Date:  2013-08-08       Impact factor: 17.970

10.  Identification of lenalidomide resistance pathways in myeloma and targeted resensitization using cereblon replacement, inhibition of STAT3 or targeting of IRF4.

Authors:  Yuan Xiao Zhu; Chang-Xin Shi; Laura A Bruins; Xuewei Wang; Daniel L Riggs; Brooke Porter; Jonathan M Ahmann; Cecilia Bonolo de Campos; Esteban Braggio; P Leif Bergsagel; A Keith Stewart
Journal:  Blood Cancer J       Date:  2019-02-11       Impact factor: 11.037

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  7 in total

1.  Mapping the Tumor Microenvironment in TNBC and Deep Exploration for M1 Macrophages-Associated Prognostic Genes.

Authors:  Baojin Xu; Hefen Sun; Xiaoqing Song; Qiqi Liu; Wei Jin
Journal:  Front Immunol       Date:  2022-06-30       Impact factor: 8.786

Review 2.  Early Steps of Resistance to Targeted Therapies in Non-Small-Cell Lung Cancer.

Authors:  Celia Delahaye; Sarah Figarol; Anne Pradines; Gilles Favre; Julien Mazieres; Olivier Calvayrac
Journal:  Cancers (Basel)       Date:  2022-05-25       Impact factor: 6.575

Review 3.  The Genomics of Hairy Cell Leukaemia and Splenic Diffuse Red Pulp Lymphoma.

Authors:  David Oscier; Kostas Stamatopoulos; Amatta Mirandari; Jonathan Strefford
Journal:  Cancers (Basel)       Date:  2022-01-29       Impact factor: 6.639

4.  Mitotane Targets Lipid Droplets to Induce Lipolysis in Adrenocortical Carcinoma.

Authors:  Kate M Warde; Yi Jan Lim; Eduardo Ribes Martinez; Felix Beuschlein; Paula O'Shea; Constanze Hantel; Michael Conall Dennedy
Journal:  Endocrinology       Date:  2022-09-01       Impact factor: 5.051

5.  FOXM1 regulates glycolysis and energy production in multiple myeloma.

Authors:  Yan Cheng; Fumou Sun; Krista Thornton; Xuefang Jing; Jing Dong; Grant Yun; Michael Pisano; Fenghuang Zhan; Sung Hoon Kim; John A Katzenellenbogen; Benita S Katzenellenbogen; Parameswaran Hari; Siegfried Janz
Journal:  Oncogene       Date:  2022-07-06       Impact factor: 8.756

6.  Malignant clonal evolution drives multiple myeloma cellular ecological diversity and microenvironment reprogramming.

Authors:  Yuanzheng Liang; Haiyan He; Weida Wang; Henan Wang; Shaowen Mo; Ruiying Fu; Xindi Liu; Qiong Song; Zhongjun Xia; Liang Wang
Journal:  Mol Cancer       Date:  2022-09-22       Impact factor: 41.444

7.  Current perspectives on interethnic variability in multiple myeloma: Single cell technology, population pharmacogenetics and molecular signal transduction.

Authors:  Manav Gandhi; Viral Bakhai; Jash Trivedi; Adarsh Mishra; Fernando De Andrés; Adrián LLerena; Rohit Sharma; Sujit Nair
Journal:  Transl Oncol       Date:  2022-09-11       Impact factor: 4.803

  7 in total

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