Literature DB >> 26514196

Toward a Better Understanding of the Complexity of Cancer Drug Resistance.

Michael M Gottesman1, Orit Lavi1, Matthew D Hall1, Jean-Pierre Gillet2.   

Abstract

Resistance to anticancer drugs is a complex process that results from alterations in drug targets; development of alternative pathways for growth activation; changes in cellular pharmacology, including increased drug efflux; regulatory changes that alter differentiation pathways or pathways for response to environmental adversity; and/or changes in the local physiology of the cancer, such as blood supply, tissue hydrodynamics, behavior of neighboring cells, and immune system response. All of these specific mechanisms are facilitated by the intrinsic hallmarks of cancer, such as tumor cell heterogeneity, redundancy of growth-promoting pathways, increased mutation rate and/or epigenetic alterations, and the dynamic variation of tumor behavior in time and space. Understanding the relative contribution of each of these factors is further complicated by the lack of adequate in vitro models that mimic clinical cancers. Several strategies to use current knowledge of drug resistance to improve treatment of cancer are suggested.

Entities:  

Keywords:  ABCB1; P-glycoprotein; chemotherapy; multidrug resistance; platinum compounds

Mesh:

Substances:

Year:  2015        PMID: 26514196     DOI: 10.1146/annurev-pharmtox-010715-103111

Source DB:  PubMed          Journal:  Annu Rev Pharmacol Toxicol        ISSN: 0362-1642            Impact factor:   13.820


  91 in total

1.  Acid ceramidase promotes drug resistance in acute myeloid leukemia through NF-κB-dependent P-glycoprotein upregulation.

Authors:  Su-Fern Tan; Wendy Dunton; Xin Liu; Todd E Fox; Samy A F Morad; Dhimant Desai; Kenichiro Doi; Mark R Conaway; Shantu Amin; David F Claxton; Hong-Gang Wang; Mark Kester; Myles C Cabot; David J Feith; Thomas P Loughran
Journal:  J Lipid Res       Date:  2019-04-08       Impact factor: 5.922

2.  Chemotherapy selection pressure alters sphingolipid composition and mitochondrial bioenergetics in resistant HL-60 cells.

Authors:  Li-Pin Kao; Samy A F Morad; Traci S Davis; Matthew R MacDougall; Miki Kassai; Noha Abdelmageed; Todd E Fox; Mark Kester; Thomas P Loughran; Jose' L Abad; Gemma Fabrias; Su-Fern Tan; David J Feith; David F Claxton; Sarah Spiegel; Kelsey H Fisher-Wellman; Myles C Cabot
Journal:  J Lipid Res       Date:  2019-07-30       Impact factor: 5.922

Review 3.  Applying nanomedicine in maladaptive inflammation and angiogenesis.

Authors:  Amr Alaarg; Carlos Pérez-Medina; Josbert M Metselaar; Matthias Nahrendorf; Zahi A Fayad; Gert Storm; Willem J M Mulder
Journal:  Adv Drug Deliv Rev       Date:  2017-05-12       Impact factor: 15.470

Review 4.  Polytherapy and Targeted Cancer Drug Resistance.

Authors:  Nilanjana Chatterjee; Trever G Bivona
Journal:  Trends Cancer       Date:  2019-02-26

Review 5.  Cancer Immunotherapy Getting Brainy: Visualizing the Distinctive CNS Metastatic Niche to Illuminate Therapeutic Resistance.

Authors:  Mark Owyong; Niloufar Hosseini-Nassab; Gizem Efe; Alexander Honkala; Renske J E van den Bijgaart; Vicki Plaks; Bryan Ronain Smith
Journal:  Drug Resist Updat       Date:  2017-10-14       Impact factor: 18.500

6.  Distinct Mechanisms of Resistance to a CENP-E Inhibitor Emerge in Near-Haploid and Diploid Cancer Cells.

Authors:  Rudolf Pisa; Donovan Y Z Phua; Tarun M Kapoor
Journal:  Cell Chem Biol       Date:  2020-05-21       Impact factor: 8.116

7.  CRISPR-Cas9-mediated saturated mutagenesis screen predicts clinical drug resistance with improved accuracy.

Authors:  Leyuan Ma; Jeffrey I Boucher; Janet Paulsen; Sebastian Matuszewski; Christopher A Eide; Jianhong Ou; Garrett Eickelberg; Richard D Press; Lihua Julie Zhu; Brian J Druker; Susan Branford; Scot A Wolfe; Jeffrey D Jensen; Celia A Schiffer; Michael R Green; Daniel N Bolon
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-16       Impact factor: 11.205

Review 8.  Leveraging Chemotype-Specific Resistance for Drug Target Identification and Chemical Biology.

Authors:  Tarun M Kapoor; Rand M Miller
Journal:  Trends Pharmacol Sci       Date:  2017-10-13       Impact factor: 14.819

9.  Porphyrin-lipid assemblies and nanovesicles overcome ABC transporter-mediated photodynamic therapy resistance in cancer cells.

Authors:  Yan Baglo; Barry J Liang; Robert W Robey; Suresh V Ambudkar; Michael M Gottesman; Huang-Chiao Huang
Journal:  Cancer Lett       Date:  2019-05-06       Impact factor: 8.679

10.  A Middle-Out Modeling Strategy to Extend a Colon Cancer Logical Model Improves Drug Synergy Predictions in Epithelial-Derived Cancer Cell Lines.

Authors:  Eirini Tsirvouli; Vasundra Touré; Barbara Niederdorfer; Miguel Vázquez; Åsmund Flobak; Martin Kuiper
Journal:  Front Mol Biosci       Date:  2020-10-09
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.