273 related articles for article (PubMed ID: 27339473)
1. Cell population heterogeneity and evolution towards drug resistance in cancer: Biological and mathematical assessment, theoretical treatment optimisation.
Chisholm RH; Lorenzi T; Clairambault J
Biochim Biophys Acta; 2016 Nov; 1860(11 Pt B):2627-45. PubMed ID: 27339473
[TBL] [Abstract][Full Text] [Related]
2. Modeling the effects of space structure and combination therapies on phenotypic heterogeneity and drug resistance in solid tumors.
Lorz A; Lorenzi T; Clairambault J; Escargueil A; Perthame B
Bull Math Biol; 2015 Jan; 77(1):1-22. PubMed ID: 25480478
[TBL] [Abstract][Full Text] [Related]
3. Tracking the evolution of cancer cell populations through the mathematical lens of phenotype-structured equations.
Lorenzi T; Chisholm RH; Clairambault J
Biol Direct; 2016 Aug; 11(1):43. PubMed ID: 27550042
[TBL] [Abstract][Full Text] [Related]
4. What does not kill a tumour may make it stronger: In silico insights into chemotherapeutic drug resistance.
Hamis S; Nithiarasu P; Powathil GG
J Theor Biol; 2018 Oct; 454():253-267. PubMed ID: 29909142
[TBL] [Abstract][Full Text] [Related]
5. Evolutionary scalpels for dissecting tumor ecosystems.
Rosenbloom DIS; Camara PG; Chu T; Rabadan R
Biochim Biophys Acta Rev Cancer; 2017 Apr; 1867(2):69-83. PubMed ID: 27923679
[TBL] [Abstract][Full Text] [Related]
6. Adaptive therapy.
Gatenby RA; Silva AS; Gillies RJ; Frieden BR
Cancer Res; 2009 Jun; 69(11):4894-903. PubMed ID: 19487300
[TBL] [Abstract][Full Text] [Related]
7. Evolution of acquired resistance to anti-cancer therapy.
Foo J; Michor F
J Theor Biol; 2014 Aug; 355():10-20. PubMed ID: 24681298
[TBL] [Abstract][Full Text] [Related]
8. A Review of Mathematical Models for Tumor Dynamics and Treatment Resistance Evolution of Solid Tumors.
Yin A; Moes DJAR; van Hasselt JGC; Swen JJ; Guchelaar HJ
CPT Pharmacometrics Syst Pharmacol; 2019 Oct; 8(10):720-737. PubMed ID: 31250989
[TBL] [Abstract][Full Text] [Related]
9. Understanding the role of phenotypic switching in cancer drug resistance.
Gunnarsson EB; De S; Leder K; Foo J
J Theor Biol; 2020 Apr; 490():110162. PubMed ID: 31953135
[TBL] [Abstract][Full Text] [Related]
10. A theoretical quantitative model for evolution of cancer chemotherapy resistance.
Silva AS; Gatenby RA
Biol Direct; 2010 Apr; 5():25. PubMed ID: 20406443
[TBL] [Abstract][Full Text] [Related]
11. Genotype- or Phenotype-Targeting Anticancer Therapies? Lessons from Tumor Evolutionary Biology.
Escargueil AE; Prado S; Dezaire A; Clairambault J; Larsen AK; Soares DG
Curr Pharm Des; 2016; 22(44):6625-6644. PubMed ID: 27587198
[TBL] [Abstract][Full Text] [Related]
12. Mathematical deconvolution uncovers the genetic regulatory signal of cancer cellular heterogeneity on resistance to paclitaxel.
Morilla I; Ranea JA
Mol Genet Genomics; 2017 Aug; 292(4):857-869. PubMed ID: 28386641
[TBL] [Abstract][Full Text] [Related]
13. A population genetics perspective on the determinants of intra-tumor heterogeneity.
Hu Z; Sun R; Curtis C
Biochim Biophys Acta Rev Cancer; 2017 Apr; 1867(2):109-126. PubMed ID: 28274726
[TBL] [Abstract][Full Text] [Related]
14. The role of cell density and intratumoral heterogeneity in multidrug resistance.
Lavi O; Greene JM; Levy D; Gottesman MM
Cancer Res; 2013 Dec; 73(24):7168-75. PubMed ID: 24163380
[TBL] [Abstract][Full Text] [Related]
15. Modeling the Dynamics of Heterogeneity of Solid Tumors in Response to Chemotherapy.
Cho H; Levy D
Bull Math Biol; 2017 Dec; 79(12):2986-3012. PubMed ID: 29022203
[TBL] [Abstract][Full Text] [Related]
16. The role of memory in non-genetic inheritance and its impact on cancer treatment resistance.
Cassidy T; Nichol D; Robertson-Tessi M; Craig M; Anderson ARA
PLoS Comput Biol; 2021 Aug; 17(8):e1009348. PubMed ID: 34460809
[TBL] [Abstract][Full Text] [Related]
17. Dosage strategies for delaying resistance emergence in heterogeneous tumors.
Vakil V; Trappe W
FEBS Open Bio; 2021 May; 11(5):1322-1331. PubMed ID: 33638275
[TBL] [Abstract][Full Text] [Related]
18. On drug resistance and metronomic chemotherapy: A mathematical modeling and optimal control approach.
Ledzewicz U; Wang S; Schattler H; Andre N; Heng MA; Pasquier E
Math Biosci Eng; 2017 Feb; 14(1):217-235. PubMed ID: 27879129
[TBL] [Abstract][Full Text] [Related]
19. A mathematical model for phenotypic heterogeneity in breast cancer with implications for therapeutic strategies.
Li X; Thirumalai D
J R Soc Interface; 2022 Jan; 19(186):20210803. PubMed ID: 35078336
[TBL] [Abstract][Full Text] [Related]
20. Combination therapies and intra-tumoral competition: Insights from mathematical modeling.
Piretto E; Delitala M; Ferraro M
J Theor Biol; 2018 Jun; 446():149-159. PubMed ID: 29548736
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]