The underlying mechanisms of lorlatinib penetration across the blood-brain barrier and the distribution characteristics of lorlatinib in the brain.


Journal

Cancer medicine
ISSN: 2045-7634
Titre abrégé: Cancer Med
Pays: United States
ID NLM: 101595310

Informations de publication

Date de publication:
06 2020
Historique:
received: 05 02 2020
revised: 23 03 2020
accepted: 23 03 2020
pubmed: 30 4 2020
medline: 18 5 2021
entrez: 30 4 2020
Statut: ppublish

Résumé

To clarify the distribution of lorlatinib in the brain and elucidate the molecular mechanisms of lorlatinib penetration across the blood-brain barrier (BBB). Cytological experiments were performed to investigate the growth inhibitory effect of lorlatinib on different cells (endothelial cells HUVEC, HMEC-1, and HCMEC/D3) and to investigate the protective effect of lorlatinib on neuronal cells after SH-SY5Y hypoxia/reoxygenation injury. Furthermore, rat brain tissue was sequenced, and the differentially expressed genes (secreted phosphoprotein 1 (SPP1), vascular endothelial growth factor (VEGF), transforming growth factor beta (TGF-β), Claudin, ZO-1 and P-gp) in several different drug treatment groups were verified by Real-Time PCR. Lorlatinib brain distribution was predicted by physiologically based pharmacokinetics (PBPK). Lorlatinib and crizotinib both had inhibitory effects on endothelial cells, however lorlatinib inhibited the growth of HCMEC/D3 more efficaciously than crizotinib. In the SH-SY5Y hypoxia model, lorlatinib had a greater protective effect on nerve cell damage caused by hypoxia and reoxygenation than crizotinib. The expression of SPP1, VEGF, TGF-β, and Claudin in brain tissue was significantly downregulated after lorlatinib administration, and the expression level of early growth transcription factor 1 (Egr-1) was significantly increased. The PBPK model successfully described lorlatinib concentrations in blood and brain tissue in the mouse model and gave a brain tissue partition coefficient of 0.7. Lorlatinib can increase the permeability of the blood-brain barrier whereby we suggest its underlying working mechanism is related to downregulating SPP1, inhibiting VEGF, TGF-β, and Claudin subsequently reducing the number of tight junctions between BBB cells. Lorlatinib plays a protective role on injured nerve cells and does not change the amount of P-gp expression in brain tissue, which may be important for its ability to be efficacious across the BBB with a low incidence of resistance.

Identifiants

pubmed: 32347012
doi: 10.1002/cam4.3061
pmc: PMC7300403
doi:

Substances chimiques

Aminopyridines 0
Lactams 0
Lactams, Macrocyclic 0
Pyrazoles 0
lorlatinib OSP71S83EU

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4350-4359

Informations de copyright

© 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Références

EBioMedicine. 2015 Dec 12;3:54-66
pubmed: 26870817
Neurobiol Dis. 2010 Jan;37(1):13-25
pubmed: 19664713
Placenta. 2017 Jun;54:111-116
pubmed: 27939102
Int J Cancer. 2014 Mar 15;134(6):1484-94
pubmed: 24037730
Ann Transl Med. 2016 Apr;4(8):150
pubmed: 27195268
Expert Rev Anticancer Ther. 2018 Jan;18(1):71-80
pubmed: 29187012
J Anal Methods Chem. 2019 Mar 4;2019:7574369
pubmed: 30949374
J Cancer. 2019 Jun 9;10(15):3486-3493
pubmed: 31293653
Cancer Res. 2018 Dec 15;78(24):6866-6880
pubmed: 30322862
Front Oncol. 2018 Apr 11;8:88
pubmed: 29696132
Anticancer Res. 2015 Nov;35(11):5797-806
pubmed: 26504000
Acta Neurochir Suppl. 2016;121:217-20
pubmed: 26463952
Cancer Med. 2020 Jun;9(12):4350-4359
pubmed: 32347012
Stroke. 2010 Aug;41(8):1783-90
pubmed: 20616319
Curr Opin Oncol. 2018 Mar;30(2):84-91
pubmed: 29256901
Acta Neurochir Suppl. 2016;121:263-7
pubmed: 26463959
J Neurooncol. 2005 Oct;75(1):5-14
pubmed: 16215811
Front Oncol. 2018 May 24;8:161
pubmed: 29881714
Cancer Metastasis Rev. 2016 Mar;35(1):75-91
pubmed: 27018053
Neurobiol Dis. 2013 Apr;52:204-18
pubmed: 23291193
J Clin Oncol. 2015 Jun 10;33(17):1881-8
pubmed: 25624436
J Med Chem. 2019 Dec 26;62(24):10927-10954
pubmed: 31419130
Lancet Oncol. 2017 Dec;18(12):1590-1599
pubmed: 29074098
Anticancer Drugs. 2017 Sep;28(8):928-930
pubmed: 28628492
Cancer Discov. 2016 Oct;6(10):1118-1133
pubmed: 27432227
J Med Chem. 2014 Jun 12;57(11):4720-44
pubmed: 24819116
J Mol Med (Berl). 2015 Nov;93(11):1213-20
pubmed: 26489608

Auteurs

Wei Chen (W)

Department of Pharmacy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Dujia Jin (D)

Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Yafei Shi (Y)

Department of Pharmacy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Yujun Zhang (Y)

Department of Pharmacy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Haiyan Zhou (H)

Department of Pharmacy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Guohui Li (G)

Department of Pharmacy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

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Classifications MeSH