Literature DB >> 34040000

Treatment scheduling effects on the evolution of drug resistance in heterogeneous cancer cell populations.

Gauri A Patwardhan1, Michal Marczyk1,2, Vikram B Wali1, David F Stern3, Lajos Pusztai1, Christos Hatzis4.   

Abstract

The effect of scheduling of targeted therapy combinations on drug resistance is underexplored in triple-negative breast cancer (TNBC). TNBC constitutes heterogeneous cancer cell populations the composition of which can change dynamically during treatment resulting in the selection of resistant clones with a fitness advantage. We evaluated crizotinib (ALK/MET inhibitor) and navitoclax (ABT-263; Bcl-2/Bcl-xL inhibitor) combinations in a large design consisting of 696 two-cycle sequential and concomitant treatment regimens with varying treatment dose, duration, and drug holiday length over a 26-day period in MDA-MB-231 TNBC cells and found that patterns of resistance depend on the schedule and sequence in which the drugs are given. Further, we tracked the clonal dynamics and mechanisms of resistance using DNA-integrated barcodes and single-cell RNA sequencing. Our study suggests that longer formats of treatment schedules in vitro screening assays are required to understand the effects of resistance and guide more realistically in vivo and clinical studies.

Entities:  

Year:  2021        PMID: 34040000     DOI: 10.1038/s41523-021-00270-4

Source DB:  PubMed          Journal:  NPJ Breast Cancer        ISSN: 2374-4677


  47 in total

Review 1.  Understanding genomic alterations in cancer genomes using an integrative network approach.

Authors:  Edwin Wang
Journal:  Cancer Lett       Date:  2012-12-22       Impact factor: 8.679

2.  Metrics other than potency reveal systematic variation in responses to cancer drugs.

Authors:  Mohammad Fallahi-Sichani; Saman Honarnejad; Laura M Heiser; Joe W Gray; Peter K Sorger
Journal:  Nat Chem Biol       Date:  2013-09-08       Impact factor: 15.040

Review 3.  Drug resistance to targeted therapies: déjà vu all over again.

Authors:  Floris H Groenendijk; René Bernards
Journal:  Mol Oncol       Date:  2014-05-21       Impact factor: 6.603

4.  Systematic Drug Screening Identifies Tractable Targeted Combination Therapies in Triple-Negative Breast Cancer.

Authors:  Vikram B Wali; Casey G Langdon; Matthew A Held; James T Platt; Gauri A Patwardhan; Anton Safonov; Bilge Aktas; Lajos Pusztai; David F Stern; Christos Hatzis
Journal:  Cancer Res       Date:  2016-11-21       Impact factor: 12.701

Review 5.  Better Together: Targeted Combination Therapies in Breast Cancer.

Authors:  Elisa Zanardi; Giacomo Bregni; Filippo de Braud; Serena Di Cosimo
Journal:  Semin Oncol       Date:  2015-09-24       Impact factor: 4.929

Review 6.  Computational oncology--mathematical modelling of drug regimens for precision medicine.

Authors:  Dominique Barbolosi; Joseph Ciccolini; Bruno Lacarelle; Fabrice Barlési; Nicolas André
Journal:  Nat Rev Clin Oncol       Date:  2015-11-24       Impact factor: 66.675

Review 7.  Combine and conquer: challenges for targeted therapy combinations in early phase trials.

Authors:  Juanita S Lopez; Udai Banerji
Journal:  Nat Rev Clin Oncol       Date:  2016-07-05       Impact factor: 66.675

8.  Evolutionary dynamics of cancer in response to targeted combination therapy.

Authors:  Ivana Bozic; Johannes G Reiter; Benjamin Allen; Tibor Antal; Krishnendu Chatterjee; Preya Shah; Yo Sup Moon; Amin Yaqubie; Nicole Kelly; Dung T Le; Evan J Lipson; Paul B Chapman; Luis A Diaz; Bert Vogelstein; Martin A Nowak
Journal:  Elife       Date:  2013-06-25       Impact factor: 8.140

9.  Alternative scheduling of pulsatile, high dose sunitinib efficiently suppresses tumor growth.

Authors:  Maria Rovithi; Richard R de Haas; Richard J Honeywell; Dennis Poel; Godefridus J Peters; Arjan W Griffioen; Henk M W Verheul
Journal:  J Exp Clin Cancer Res       Date:  2016-09-07

10.  Final overall survival analysis for the phase II RECORD-3 study of first-line everolimus followed by sunitinib versus first-line sunitinib followed by everolimus in metastatic RCC.

Authors:  J J Knox; C H Barrios; T M Kim; T Cosgriff; V Srimuninnimit; K Pittman; R Sabbatini; S Y Rha; T W Flaig; R D Page; J T Beck; F Cheung; S Yadav; P Patel; L Geoffrois; J Niolat; N Berkowitz; M Marker; D Chen; R J Motzer
Journal:  Ann Oncol       Date:  2017-06-01       Impact factor: 32.976

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  6 in total

Review 1.  Mastering the use of cellular barcoding to explore cancer heterogeneity.

Authors:  Antonin Serrano; Jean Berthelet; Shalin H Naik; Delphine Merino
Journal:  Nat Rev Cancer       Date:  2022-08-18       Impact factor: 69.800

2.  Computational study on novel natural inhibitors targeting c-MET.

Authors:  Yuanyuan Hou; Haoqun Xie; Gaojing Dou; Wenzhuo Yang; Junliang Ge; Baolin Zhou; Junan Ren; Juncheng Li; Jing Wang; Zhiyun Zhang; Xinhui Wang
Journal:  Medicine (Baltimore)       Date:  2021-09-24       Impact factor: 1.817

Review 3.  Advancements, Challenges, and Future Directions in Tackling Glioblastoma Resistance to Small Kinase Inhibitors.

Authors:  Federica Fabro; Martine L M Lamfers; Sieger Leenstra
Journal:  Cancers (Basel)       Date:  2022-01-25       Impact factor: 6.639

4.  Evaluation of solid tumor response to sequential treatment cycles via a new computational hybrid approach.

Authors:  Farshad Moradi Kashkooli; M Soltani
Journal:  Sci Rep       Date:  2021-11-02       Impact factor: 4.379

Review 5.  Adaptive chromatin remodeling and transcriptional changes of the functional kinome in tumor cells in response to targeted kinase inhibition.

Authors:  Michael P East; Gary L Johnson
Journal:  J Biol Chem       Date:  2021-12-24       Impact factor: 5.157

6.  A Cell Double-Barcoding System for Quantitative Evaluation of Primary Tumors and Metastasis in Animals That Uncovers Clonal-Specific Anti-Cancer Drug Effects.

Authors:  Arkadi Hesin; Santosh Kumar; Valid Gahramanov; Maria Becker; Maria Vilenchik; Ilya Alexandrov; Julia Yaglom; Michael Y Sherman
Journal:  Cancers (Basel)       Date:  2022-03-08       Impact factor: 6.639

  6 in total

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