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Liang F, Zhang Y, Xue Q, Zhang X. Integrated PBPK-EO modeling of osimertinib to predict plasma concentrations and intracranial EGFR engagement in patients with brain metastases. Sci Rep 2024; 14:12736. [PMID: 38830973 PMCID: PMC11148161 DOI: 10.1038/s41598-024-63743-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 05/31/2024] [Indexed: 06/05/2024] Open
Abstract
The purpose of this study was to develop and validate a physiologically based pharmacokinetic (PBPK) model combined with an EGFR occupancy (EO) model for osimertinib (OSI) to predict plasma trough concentration (Ctrough) and the intracranial time-course of EGFR (T790M and L858R mutants) engagement in patient populations. The PBPK model was also used to investigate the key factors affecting OSI pharmacokinetics (PK) and intracranial EGFR engagement, analyze resistance to the target mutation C797S, and determine optimal dosing regimens when used alone and in drug-drug interactions (DDIs). A population PBPK-EO model of OSI was developed using physicochemical, biochemical, binding kinetic, and physiological properties, and then validated using nine clinical PK studies, observed EO study, and two clinical DDI studies. The PBPK-EO model demonstrated good consistency with observed data, with most prediction-to-observation ratios falling within the range of 0.7 to 1.3 for plasma AUC, Cmax, Ctrough and intracranial free concentration. The simulated time-course of C797S occupancy by the PBPK model was much lower than T790M and L858R occupancy, providing an explanation for OSI on-target resistance to the C797S mutation. The PBPK model identified ABCB1 CLint,u, albumin level, and EGFR expression as key factors affecting plasma Ctrough and intracranial EO for OSI. Additionally, PBPK-EO simulations indicated that the optimal dosing regimen for OSI in patients with brain metastases is either 80 mg once daily (OD) or 160 mg OD, or 40 mg or 80 mg twice daily (BID). When used concomitantly with CYP enzyme perpetrators, the PBPK-EO model suggested appropriate dosing regimens of 80 mg OD with fluvoxamine (FLUV) itraconazole (ITR) or fluvoxamine (FLUC) for co-administration and an increase to 160 mg OD with rifampicin (RIF) or efavirenz (EFA). In conclusion, the PBPK-EO model has been shown to be capable of simulating the pharmacokinetic concentration-time profiles and the time-course of EGFR engagement for OSI, as well as determining the optimum dosing in various clinical situations.
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Affiliation(s)
- Feng Liang
- Bethune International Peace Hospital, Shijiazhuang, China
| | - Yimei Zhang
- Bethune International Peace Hospital, Shijiazhuang, China
| | - Qian Xue
- Bethune International Peace Hospital, Shijiazhuang, China
| | - Xiaoling Zhang
- Bethune International Peace Hospital, Shijiazhuang, China.
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2
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Crook ZR, Sevilla GP, Young P, Girard EJ, Phi TD, Howard M, Price J, Olson JM, Nairn NW. CYpHER: Catalytic extracellular targeted protein degradation with high potency and durable effect. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.21.581471. [PMID: 38712232 PMCID: PMC11071310 DOI: 10.1101/2024.02.21.581471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Many disease-causing proteins have multiple pathogenic mechanisms, and conventional inhibitors struggle to reliably disrupt more than one. Targeted protein degradation (TPD) can eliminate the protein, and thus all its functions, by directing a cell's protein turnover machinery towards it. Two established strategies either engage catalytic E3 ligases or drive uptake towards the endolysosomal pathway. Here we describe CYpHER (CatalYtic pH-dependent Endolysosomal delivery with Recycling) technology with potency and durability from a novel catalytic mechanism that shares the specificity and straightforward modular design of endolysosomal uptake. By bestowing pH-dependent release on the target engager and using the rapid-cycling transferrin receptor as the uptake receptor, CYpHER induces endolysosomal target delivery while re-using drug, potentially yielding increased potency and reduced off-target tissue exposure risks. The TfR-based approach allows targeting to tumors that overexpress this receptor and offers the potential for transport to the CNS. CYpHER function was demonstrated in vitro with EGFR and PD-L1, and in vivo with EGFR in a model of EGFR-driven non-small cell lung cancer.
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Affiliation(s)
- Zachary R. Crook
- Cyclera Therapeutics Inc, Seattle, WA 98115, USA. Present address of Z.R.C., G.P.S., and N.W.N
- Blaze Bioscience Inc., Seattle, WA 98109, USA
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Gregory P. Sevilla
- Cyclera Therapeutics Inc, Seattle, WA 98115, USA. Present address of Z.R.C., G.P.S., and N.W.N
- Blaze Bioscience Inc., Seattle, WA 98109, USA
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | | | - Emily J. Girard
- Ben Towne Center for Childhood Cancer Research, Seattle Children’s Research Institute, Seattle, WA 98105, USA. Present address of E.J.G. and J.M.O
| | | | | | - Jason Price
- Ben Towne Center for Childhood Cancer Research, Seattle Children’s Research Institute, Seattle, WA 98105, USA. Present address of E.J.G. and J.M.O
| | - James M. Olson
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Ben Towne Center for Childhood Cancer Research, Seattle Children’s Research Institute, Seattle, WA 98105, USA. Present address of E.J.G. and J.M.O
| | - Natalie W. Nairn
- Cyclera Therapeutics Inc, Seattle, WA 98115, USA. Present address of Z.R.C., G.P.S., and N.W.N
- Blaze Bioscience Inc., Seattle, WA 98109, USA
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3
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Spinelli C, Adnani L, Meehan B, Montermini L, Huang S, Kim M, Nishimura T, Croul SE, Nakano I, Riazalhosseini Y, Rak J. Mesenchymal glioma stem cells trigger vasectasia-distinct neovascularization process stimulated by extracellular vesicles carrying EGFR. Nat Commun 2024; 15:2865. [PMID: 38570528 PMCID: PMC10991552 DOI: 10.1038/s41467-024-46597-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 03/04/2024] [Indexed: 04/05/2024] Open
Abstract
Targeting neovascularization in glioblastoma (GBM) is hampered by poor understanding of the underlying mechanisms and unclear linkages to tumour molecular landscapes. Here we report that different molecular subtypes of human glioma stem cells (GSC) trigger distinct endothelial responses involving either angiogenic or circumferential vascular growth (vasectasia). The latter process is selectively triggered by mesenchymal (but not proneural) GSCs and is mediated by a subset of extracellular vesicles (EVs) able to transfer EGFR/EGFRvIII transcript to endothelial cells. Inhibition of the expression and phosphorylation of EGFR in endothelial cells, either pharmacologically (Dacomitinib) or genetically (gene editing), abolishes their EV responses in vitro and disrupts vasectasia in vivo. Therapeutic inhibition of EGFR markedly extends anticancer effects of VEGF blockade in mice, coupled with abrogation of vasectasia and prolonged survival. Thus, vasectasia driven by intercellular transfer of oncogenic EGFR may represent a new therapeutic target in a subset of GBMs.
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Affiliation(s)
- Cristiana Spinelli
- McGill University, The Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Lata Adnani
- McGill University, The Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Brian Meehan
- McGill University, The Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Laura Montermini
- McGill University, The Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Sidong Huang
- Department of Biochemistry, McGill University, Montreal, QC, Canada
- Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, QC, Canada
| | - Minjun Kim
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Tamiko Nishimura
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Sidney E Croul
- Department of Pathology & Laboratory Medicine, Dalhousie University, Halifax, NS, Canada
| | - Ichiro Nakano
- Department of Neurosurgery, Hokuto Social Medical Corporation, Hokuto Hospital, Kisen-7-5 Inadacho, Obihiro, Hokkaido, 080-0833, Japan
| | | | - Janusz Rak
- McGill University, The Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
- Department of Biochemistry, McGill University, Montreal, QC, Canada.
- Department of Human Genetics, McGill University, Montreal, QC, Canada.
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4
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Liang F, Zhang Y, Xue Q, Yao N. Exploring inter-ethnic and inter-patient variability and optimal dosing of osimertinib: a physiologically based pharmacokinetic modeling approach. Front Pharmacol 2024; 15:1363259. [PMID: 38500771 PMCID: PMC10946252 DOI: 10.3389/fphar.2024.1363259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 02/22/2024] [Indexed: 03/20/2024] Open
Abstract
Purpose: This study aimed to develop and validate a physiologically based pharmacokinetic (PBPK) model for osimertinib (OSI) to predict plasma trough concentration (Ctrough) and pulmonary EGFRm+ (T790M and L858R mutants) inhibition in Caucasian, Japanese, and Chinese populations. The PBPK model was also utilized to investigate inter-ethnic and inter-patient differences in OSI pharmacokinetics (PK) and determine optimal dosing regimens. Methods: Population PBPK models of OSI for healthy and disease populations were developed using physicochemical and biochemical properties of OSI and physiological parameters of different groups. And then the PBPK models were validated using the multiple clinical PK and drug-drug interaction (DDI) study data. Results: The model demonstrated good consistency with the observed data, with most of prediction-to-observation ratios of 0.8-1.25 for AUC, Cmax, and Ctrough. The PBPK model revealed that plasma exposure of OSI was approximately 2-fold higher in patients compared to healthy individuals, and higher exposure observed in Caucasians compared to other ethnic groups. This was primarily attributed to a lower CL/F of OSI in patients and Caucasian. The PBPK model displayed that key factors influencing PK and EGFRm+ inhibition differences included genetic polymorphism of CYP3A4, CYP1A2 expression, plasma free concentration (fup), albumin level, and auto-inhibition/induction on CYP3A4. Inter-patient PK variability was most influenced by CYP3A4 variants, fup, and albumin level. The PBPK simulations indicated that the optimal dosing regimen for patients across the three populations of European, Japanese, and Chinese ancestry was OSI 80 mg once daily (OD) to achieve the desired range of plasma Ctrough (328-677 nmol/L), as well as 80 mg and 160 mg OD for desirable pulmonary EGFRm+ inhibition (>80%). Conclusion: In conclusion, this study's PBPK simulations highlighted potential ethnic and inter-patient variability in OSI PK and EGFRm+ inhibition between Caucasian, Japanese, and Chinese populations, while also providing insights into optimal dosing regimens of OSI.
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Affiliation(s)
| | | | | | - Na Yao
- Bethune International Peace Hospital, Shijiazhuang, China
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5
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Scaria SM, Frumm SM, Vikram EP, Easow SA, Sheth AH, Shamir ER, Yu SK, Tward AD. Epimorphic regeneration in the mammalian tympanic membrane. NPJ Regen Med 2023; 8:58. [PMID: 37852984 PMCID: PMC10584978 DOI: 10.1038/s41536-023-00332-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 09/29/2023] [Indexed: 10/20/2023] Open
Abstract
Adult mammals are generally believed to have limited ability to regenerate complex tissues and instead, repair wounds by forming scars. In humans and across mammalian species, the tympanic membrane (TM) rapidly repairs perforations without intervention. Using mouse models, we demonstrate that the TM repairs itself through a process that bears many hallmarks of epimorphic regeneration rather than typical wound healing. Following injury, the TM forms a wound epidermis characterized by EGFR ligand expression and signaling. After the expansion of the wound epidermis that emerges from known stem cell regions of the TM, a multi-lineage blastema-like cellular mass is recruited. After two weeks, the tissue architecture of the TM is largely restored, but with disorganized collagen. In the months that follow, the organized and patterned collagen framework of the TM is restored resulting in scar-free repair. Finally, we demonstrate that deletion of Egfr in the epidermis results in failure to expand the wound epidermis, recruit the blastema-like cells, and regenerate normal TM structure. This work establishes the TM as a model of mammalian complex tissue regeneration.
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Affiliation(s)
- Sonia M Scaria
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, CA, 94143, USA
| | - Stacey M Frumm
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, CA, 94143, USA
| | - Ellee P Vikram
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, CA, 94143, USA
| | - Sarah A Easow
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, CA, 94143, USA
| | - Amar H Sheth
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, CA, 94143, USA
| | - Eliah R Shamir
- Department of Pathology, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Shengyang Kevin Yu
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, CA, 94143, USA
| | - Aaron D Tward
- Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, CA, 94143, USA.
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6
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Nyati S, Young G, Speers C, Nyati MK, Rehemtulla A. Budding uninhibited by benzimidazoles-1 (BUB1) regulates EGFR signaling by reducing EGFR internalization. Aging (Albany NY) 2023; 15:6011-6030. [PMID: 37399454 PMCID: PMC10373970 DOI: 10.18632/aging.204820] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 06/05/2023] [Indexed: 07/05/2023]
Abstract
EGFR signaling initiates upon ligand binding which leads to activation and internalization of the receptor-ligand complex. Here, we evaluated if BUB1 impacted EGFR signaling by regulating EGFR receptor internalization and activation. BUB1 was ablated genomically (siRNA) or biochemically (2OH-BNPP1) in cells. EGF ligand was used to initiate EGFR signaling while disuccinimidyl suberate (DSS) was used for cross linking cellular proteins. EGFR signaling was measured by western immunoblotting and receptor internalization was evaluated by fluorescent microscopy (pEGFR (pY1068) colocalization with early endosome marker EEA1). siRNA mediated BUB1 depletion led to an overall increase in total EGFR levels and more phospho-EGFR (Y845, Y1092, and Y1173) dimers while the amount of total EGFR (non-phospho) dimers remained unchanged. BUB1 inhibitor (BUB1i) decreased EGF mediated EGFR signaling including pEGFR Y845, pAKT S473 and pERK1/2 in a time dependent manner. Additionally, BUB1i also reduced EGF mediated pEGFR (Y845) dimers (asymmetric dimers) without affecting total EGFR dimers (symmetric dimers) indicating that dimerization of inactive EGFR is not affected by BUB1. Furthermore, BUB1i blocked EGF mediated EGFR degradation (increase in EGFR half-life) without impacting half-lives of HER2 or c-MET. BUB1i also reduced co-localization of pEGFR with EEA1 positive endosomes suggesting that BUB1 might modulate EGFR endocytosis. Our data provide evidence that BUB1 protein and its kinase activity may regulate EGFR activation, endocytosis, degradation, and downstream signaling without affecting other members of the receptor tyrosine kinase family.
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Affiliation(s)
- Shyam Nyati
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI 48202, USA
| | - Grant Young
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Corey Speers
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Radiation Oncology, UH Seidman Cancer Center, University Hospitals Case Medical Center, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Mukesh K. Nyati
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Alnawaz Rehemtulla
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA
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7
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Lawi ZK, Al-Shuhaib MBS, Amara IB, Alkhammas AH. Two missense variants of the epidermal growth factor receptor gene are associated with non small cell lung carcinoma in the subjects from Iraq. Mol Biol Rep 2022; 49:11653-11661. [PMID: 36169894 DOI: 10.1007/s11033-022-07933-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 09/07/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND Lung carcinoma is a foremost cause of cancer-related mortality worldwide. Variable genetic factors are associated with the development of lung cancer. This study was performed to evaluate the possible association of epidermal growth factor receptor (EGFR) gene polymorphisms with non small cell lung carcinoma (NSCLC) in Iraqi population. METHODS DNA samples were extracted from 100 patients and 100 controls. Four PCR fragments were designed to amplify four high-frequency variants within EGFR, namely rs1050171, rs2072454, rs2227984, and rs2227983. The PCR fragments were genotyped by single-strand conformation polymorphism (SSCP) method, and each genotype was subjected to direct sequencing. RESULTS Genotyping experiments confirmed the variability of three targeted variants, and logistic regression analysis showed that two of these variants (rs1050171 and rs2227983) tend to exhibit a significant association with NSCLC. Individuals with rs1050171:GA genotype showed a possible association with the increased risk of NSCLC (P = 0.0110; OD 5.2636; Cl95% 1.4630 to 18.9371). Individuals with rs2227983:GG genotype exhibited a potential association with NSCLC (P = 0.0037; OD 5.2683; Cl95% 1.7141 to 16.1919). Linkage disequilibrium analysis showed that the effects of the investigated variants seem to take independent actions, and no haplotype was found to be associated with the high prevalence of NSCLC. CONCLUSIONS Our collective data indicated that EGFR-rs1050171G/A and EGFR-rs2227983G/G SNPs tend to exert significant and separate associations with the increased risk of NSCLC. However, this study recommends using a broader spectrum of the investigated samples to get further details of both SNPs in terms of their association with the susceptibility to NSCLC.
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Affiliation(s)
- Zahraa K Lawi
- Department of Biology, College of Science, University of Kufa, Najaf, 54001, Iraq
| | - Mohammed Baqur S Al-Shuhaib
- Department of Animal Production, College of Agriculture, Al-Qasim Green University, Al-Qasim, Babil, 51001, Iraq.
| | - Ibtissem Ben Amara
- Laboratory of Medicinal and Environment Chemistry, Higher Institute of Biotechnology, University of SFAX, PB 261, 3000, Sfax, Tunisia
| | - Ahmed H Alkhammas
- Department of Animal Production, College of Agriculture, Al-Qasim Green University, Al-Qasim, Babil, 51001, Iraq
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8
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Exposure-Response Analysis of Osimertinib in EGFR Mutation Positive Non-Small Cell Lung Cancer Patients in a Real-Life Setting. Pharm Res 2022; 39:2507-2514. [PMID: 35978149 DOI: 10.1007/s11095-022-03355-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 08/02/2022] [Indexed: 10/15/2022]
Abstract
BACKGROUND Osimertinib, an irreversible inhibitor of the epidermal growth factor receptor (EGFR) is an important drug in the treatment of EGFR-mutation positive non-small cell lung cancer (NSCLC). Clinical trials with osimertinib could not demonstrate an exposure-efficacy relationship, while a relationship between exposure and toxicity has been found. In this study, we report the exposure-response relationships of osimertinib in a real-life setting. METHODS A retrospective observational cohort study was performed, including patients receiving 40 - 80 mg osimertinib as ≥ 2 line therapy and from whom pharmacokinetic samples were collected during routine care. Trough plasma concentrations (Cmin,pred) were estimated and used as a measure of osimertinib exposure. A previously defined exploratory pharmacokinetic threshold of 166 µg/L was taken to explore the exposure-efficacy relationship. RESULTS A total of 145 patients and 513 osimertinib plasma concentration samples were included. Median progression free survival (PFS) was 13.3 (95% confidence interval (CI):10.3 - 19.1) months and 9.3 (95% CI: 7.2 - 11.1) months for patients with Cmin,pred < 166 µg/L and Cmin,pred ≥ 166 µg/L, respectively (p = 0.03). In the multivariate analysis, a Cmin,pred < 166 µg/L resulted in a non-statistically significant hazard ratio of 1.10 (95% CI: 0.60 - 2.01; p = 77). Presence of a EGFR driver-mutation other than the exon 19 del or L858R mutations, led to a shorter PFS with a hazard ratio of 2.89 (95% CI: 1.18 - 7.08; p = 0.02). No relationship between exposure and toxicity was observed (p = 0.91). CONCLUSION In our real-life cohort, no exposure-response relationship was observed for osimertinib in the current dosing scheme. The feasibility of a standard lower fixed dosing of osimertinib in clinical practice should be studied prospectively.
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9
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Song KW, Edgar KA, Hanan EJ, Hafner M, Oeh J, Merchant M, Sampath D, Nannini MA, Hong R, Phu L, Forrest WF, Stawiski E, Schmidt S, Endres N, Guan J, Wallin JJ, Cheong J, Plise EG, Lewis Phillips GD, Salphati L, Heffron TP, Olivero AG, Malek S, Staben ST, Kirkpatrick DS, Dey A, Friedman LS. RTK-Dependent Inducible Degradation of Mutant PI3Kα Drives GDC-0077 (Inavolisib) Efficacy. Cancer Discov 2022; 12:204-219. [PMID: 34544753 PMCID: PMC9762331 DOI: 10.1158/2159-8290.cd-21-0072] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 07/03/2021] [Accepted: 09/15/2021] [Indexed: 01/07/2023]
Abstract
PIK3CA is one of the most frequently mutated oncogenes; the p110a protein it encodes plays a central role in tumor cell proliferation. Small-molecule inhibitors targeting the PI3K p110a catalytic subunit have entered clinical trials, with early-phase GDC-0077 studies showing antitumor activity and a manageable safety profile in patients with PIK3CA-mutant breast cancer. However, preclinical studies have shown that PI3K pathway inhibition releases negative feedback and activates receptor tyrosine kinase signaling, reengaging the pathway and attenuating drug activity. Here we discover that GDC-0077 and taselisib more potently inhibit mutant PI3K pathway signaling and cell viability through unique HER2-dependent mutant p110a degradation. Both are more effective than other PI3K inhibitors at maintaining prolonged pathway suppression. This study establishes a new strategy for identifying inhibitors that specifically target mutant tumors by selective degradation of the mutant oncoprotein and provide a strong rationale for pursuing PI3Kα degraders in patients with HER2-positive breast cancer. SIGNIFICANCE: The PI3K inhibitors GDC-0077 and taselisib have a unique mechanism of action; both inhibitors lead to degradation of mutant p110a protein. The inhibitors that have the ability to trigger specific degradation of mutant p110a without significant change in wild-type p110a protein may result in improved therapeutic index in PIK3CA-mutant tumors.See related commentary by Vanhaesebroeck et al., p. 20.This article is highlighted in the In This Issue feature, p. 1.
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Affiliation(s)
- Kyung W Song
- Department of Discovery Oncology, Genentech, Inc., South San Francisco, California
| | - Kyle A Edgar
- Department of Discovery Oncology, Genentech, Inc., South San Francisco, California
| | - Emily J Hanan
- Department of Discovery Chemistry, Genentech, Inc., South San Francisco, California
| | - Marc Hafner
- Department of Oncology Bioinformatics, Genentech, Inc., South San Francisco, California
| | - Jason Oeh
- Department of Translational Oncology, Genentech, Inc., South San Francisco, California
| | - Mark Merchant
- Department of Translational Oncology, Genentech, Inc., South San Francisco, California
| | - Deepak Sampath
- Department of Translational Oncology, Genentech, Inc., South San Francisco, California
| | - Michelle A Nannini
- Department of Translational Oncology, Genentech, Inc., South San Francisco, California
| | - Rebecca Hong
- Department of Translational Oncology, Genentech, Inc., South San Francisco, California
| | - Lilian Phu
- Department of Microchemistry, Proteomics & Lipidomics, Genentech, Inc., South San Francisco, California
| | - William F Forrest
- Department of Oncology Bioinformatics, Genentech, Inc., South San Francisco, California
| | - Eric Stawiski
- Department of Oncology Bioinformatics, Genentech, Inc., South San Francisco, California
| | - Stephen Schmidt
- Department of Biochemical and Cell Pharmacology, Genentech, Inc., South San Francisco, California
| | - Nicholas Endres
- Department of Biochemical and Cell Pharmacology, Genentech, Inc., South San Francisco, California
| | - Jane Guan
- Department of Discovery Oncology, Genentech, Inc., South San Francisco, California
| | - Jeffrey J Wallin
- Department of Translational Oncology, Genentech, Inc., South San Francisco, California
| | - Jonathan Cheong
- Department of Translational Oncology, Genentech, Inc., South San Francisco, California
| | - Emile G Plise
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, California
| | | | - Laurent Salphati
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, California
| | - Timothy P Heffron
- Department of Discovery Chemistry, Genentech, Inc., South San Francisco, California
| | - Alan G Olivero
- Department of Discovery Chemistry, Genentech, Inc., South San Francisco, California
| | - Shiva Malek
- Department of Discovery Oncology, Genentech, Inc., South San Francisco, California
| | - Steven T Staben
- Department of Discovery Chemistry, Genentech, Inc., South San Francisco, California
| | - Donald S Kirkpatrick
- Department of Microchemistry, Proteomics & Lipidomics, Genentech, Inc., South San Francisco, California
| | - Anwesha Dey
- Department of Discovery Oncology, Genentech, Inc., South San Francisco, California.
| | - Lori S Friedman
- Department of Translational Oncology, Genentech, Inc., South San Francisco, California.
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10
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Optimized Dosing: The Next Step in Precision Medicine in Non-Small-Cell Lung Cancer. Drugs 2021; 82:15-32. [PMID: 34894338 DOI: 10.1007/s40265-021-01654-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2021] [Indexed: 12/20/2022]
Abstract
In oncology, and especially in the treatment of non-small-cell lung cancer (NSCLC), dose optimization is often a neglected part of precision medicine. Many drugs are still being administered in "one dose fits all" regimens or based on parameters that are often only minor determinants for systemic exposure. These dosing approaches often introduce additional pharmacokinetic variability and do not add to treatment outcomes. Fortunately, pharmacological knowledge is increasing, providing valuable information regarding the potential of, for example, therapeutic drug monitoring. This article focuses on the evidence for the most promising and easily implemented optimized dosing approaches for the small-molecule inhibitors, chemotherapeutic agents, and monoclonal antibodies as treatment options currently approved for NSCLC. Despite limitations such as investigations having been conducted in oncological diseases other than NSCLC or the retrospective origin of many analyses, an alternative dosing regimen could be beneficial for treatment outcomes, prescriber convenience, or financial burden on healthcare systems. This review of the literature provides recommendations on the implementation of dose optimization and advice regarding promising strategies that deserve further research in NSCLC.
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11
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Wang J, Giragossian C, Hansel S. Analyze impact of tumor-associated kinetics on antibody delivery in solid tumors with a physiologically based pharmacokinetics/pharmacodynamics model. Eur J Pharm Biopharm 2021; 168:110-121. [PMID: 34478854 DOI: 10.1016/j.ejpb.2021.08.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 08/23/2021] [Accepted: 08/27/2021] [Indexed: 11/17/2022]
Abstract
Monoclonal antibody (mAb)-based drugs are critical anti-cancer therapies. Unfortunately, therapeutic efficacy can be compromised by spatially heterogeneous intratumoral Ab deposition. Binding-site barriers arising from Ab and tumor-associated kinetics often underlie this phenomenon. Quantitative insight into these issues may lead to more efficient drug delivery. Difficulties in addressing this issue include (1) lack of techniques to quantify critical kinetic events, (2) lack of a pharmacokinetic/pharmacodynamic (PK/PD) model to assess important parameters for specific tumor types, and (3) uncertainty or variability of critical kinetic factors even within a single tumor type. This study developed a mechanism-based PK/PD model to profile heterogeneous distribution of Ab within tumors and tested this model using real-life experimental data. Model simulations incorporating several uncertainties were used to determine how mAb and tumor-associated kinetics influence receptor occupancy. Simulations were also used to predict the potential impact of these findings in preclinical tumor models and human tumors. We found significant differences in tumor-associated kinetics between groups in which mAb therapy was effective versus groups in which it was ineffective. These kinetic differences included rates of tumor-associated antigen (TAA) degradation, TAA expression, apparent flow rates of interstitial fluid, and ratios of Ab-TAA complex internalization to TAA degradation. We found less significant differences in mAb kinetics, including rates of clearance or affinity for target antigens. In conclusion, our mechanism-based PK/PD model suggests that TAA-associated kinetic factors participate more significantly than those associated with the Ab in generating barriers to mAb delivery and distribution in tumors.
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Affiliation(s)
- Jun Wang
- Biotherapeutics Discovery Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, CT, USA.
| | - Craig Giragossian
- Biotherapeutics Discovery Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, CT, USA
| | - Steven Hansel
- Biotherapeutics Discovery Research, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, CT, USA
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12
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Salovska B, Zhu H, Gandhi T, Frank M, Li W, Rosenberger G, Wu C, Germain PL, Zhou H, Hodny Z, Reiter L, Liu Y. Isoform-resolved correlation analysis between mRNA abundance regulation and protein level degradation. Mol Syst Biol 2021; 16:e9170. [PMID: 32175694 PMCID: PMC7073818 DOI: 10.15252/msb.20199170] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 02/06/2020] [Accepted: 02/12/2020] [Indexed: 12/15/2022] Open
Abstract
Profiling of biological relationships between different molecular layers dissects regulatory mechanisms that ultimately determine cellular function. To thoroughly assess the role of protein post‐translational turnover, we devised a strategy combining pulse stable isotope‐labeled amino acids in cells (pSILAC), data‐independent acquisition mass spectrometry (DIA‐MS), and a novel data analysis framework that resolves protein degradation rate on the level of mRNA alternative splicing isoforms and isoform groups. We demonstrated our approach by the genome‐wide correlation analysis between mRNA amounts and protein degradation across different strains of HeLa cells that harbor a high grade of gene dosage variation. The dataset revealed that specific biological processes, cellular organelles, spatial compartments of organelles, and individual protein isoforms of the same genes could have distinctive degradation rate. The protein degradation diversity thus dissects the corresponding buffering or concerting protein turnover control across cancer cell lines. The data further indicate that specific mRNA splicing events such as intron retention significantly impact the protein abundance levels. Our findings support the tight association between transcriptome variability and proteostasis and provide a methodological foundation for studying functional protein degradation.
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Affiliation(s)
- Barbora Salovska
- Yale Cancer Biology Institute, Yale University, West Haven, CT, USA.,Department of Genome Integrity, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | - Hongwen Zhu
- Department of Analytical Chemistry and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | | | - Max Frank
- European Molecular Biology Laboratory, Heidelberg, Germany
| | - Wenxue Li
- Yale Cancer Biology Institute, Yale University, West Haven, CT, USA
| | | | - Chongde Wu
- Yale Cancer Biology Institute, Yale University, West Haven, CT, USA
| | - Pierre-Luc Germain
- Institute for Neuroscience, D-HEST, ETH Zurich, Zurich, Switzerland.,Statistical Bioinformatics Lab, DMLS, University of Zürich, Zurich, Switzerland
| | - Hu Zhou
- Department of Analytical Chemistry and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Zdenek Hodny
- Department of Genome Integrity, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic
| | | | - Yansheng Liu
- Yale Cancer Biology Institute, Yale University, West Haven, CT, USA.,Department of Pharmacology, Yale University School of Medicine, New Haven, CT, USA
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13
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Lenz LS, Faccioni JL, Bracco PA, Santos JAF, Pereira LC, Buss JH, Tamborindeguy MT, Torgo D, Monteiro T, Mantovani GB, Santo CN, Marcolin JC, Dalsin E, Vigo A, Callegari-Jacques SM, Silva AO, Onzi GR, Begnini KR, Lenz G. Cancer Cell Fitness Is Dynamic. Cancer Res 2020; 81:1040-1051. [PMID: 33355182 DOI: 10.1158/0008-5472.can-20-2488] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 09/22/2020] [Accepted: 12/18/2020] [Indexed: 11/16/2022]
Abstract
Several phenotypes that impact the capacity of cancer cells to survive and proliferate are dynamic. Here we used the number of cells in colonies as an assessment of fitness and devised a novel method called Dynamic Fitness Analysis (DynaFit) to measure the dynamics in fitness over the course of colony formation. DynaFit is based on the variance in growth rate of a population of founder cells compared with the variance in growth rate of colonies with different sizes. DynaFit revealed that cell fitness in cancer cell lines, primary cancer cells, and fibroblasts under unhindered growth conditions is dynamic. Key cellular mechanisms such as ERK signaling and cell-cycle synchronization differed significantly among cells in colonies after 2 to 4 generations and became indistinguishable from randomly sampled cells regarding these features. In the presence of cytotoxic agents, colonies reduced their variance in growth rate when compared with their founder cell, indicating a dynamic nature in the capacity to survive and proliferate in the presence of a drug. This finding was supported by measurable differences in DNA damage and induction of senescence among cells of colonies. The presence of epigenetic modulators during the formation of colonies stabilized their fitness for at least four generations. Collectively, these results support the understanding that cancer cell fitness is dynamic and its modulation is a fundamental aspect to be considered in comprehending cancer cell biology and its response to therapeutic interventions. SIGNIFICANCE: Cancer cell fitness is dynamic over the course of the formation of colonies. This dynamic behavior is mediated by asymmetric mitosis, ERK activity, cell-cycle duration, and DNA repair capacity in the absence or presence of a drug.
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Affiliation(s)
- Luana S Lenz
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Juliano L Faccioni
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Paula A Bracco
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Jephesson A F Santos
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Luiza C Pereira
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Julieti H Buss
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Mauricio T Tamborindeguy
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Daphne Torgo
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Thayana Monteiro
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Giovana B Mantovani
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Carolina N Santo
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Julia C Marcolin
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Eloisa Dalsin
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Alvaro Vigo
- Programa de Pós-Graduação em Epidemiologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Estatística, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Sidia M Callegari-Jacques
- Departamento de Estatística, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Andrew O Silva
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Giovana R Onzi
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Karine R Begnini
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
| | - Guido Lenz
- Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
- Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
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14
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Ross AB, Langer JD, Jovanovic M. Proteome Turnover in the Spotlight: Approaches, Applications, and Perspectives. Mol Cell Proteomics 2020; 20:100016. [PMID: 33556866 PMCID: PMC7950106 DOI: 10.1074/mcp.r120.002190] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 11/25/2020] [Accepted: 11/30/2020] [Indexed: 01/17/2023] Open
Abstract
In all cells, proteins are continuously synthesized and degraded to maintain protein homeostasis and modify gene expression levels in response to stimuli. Collectively, the processes of protein synthesis and degradation are referred to as protein turnover. At a steady state, protein turnover is constant to maintain protein homeostasis, but in dynamic responses, proteins change their rates of synthesis and degradation to adjust their proteomes to internal or external stimuli. Thus, probing the kinetics and dynamics of protein turnover lends insight into how cells regulate essential processes such as growth, differentiation, and stress response. Here, we outline historical and current approaches to measuring the kinetics of protein turnover on a proteome-wide scale in both steady-state and dynamic systems, with an emphasis on metabolic tracing using stable isotope-labeled amino acids. We highlight important considerations for designing proteome turnover experiments, key biological findings regarding the conserved principles of proteome turnover regulation, and future perspectives for both technological and biological investigation.
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Affiliation(s)
- Alison Barbara Ross
- Department of Biological Sciences, Columbia University, New York, New York, USA
| | - Julian David Langer
- Proteomics, Max Planck Institute of Biophysics, Frankfurt am Main, Germany; Proteomics, Max Planck Institute for Brain Research, Frankfurt am Main, Germany.
| | - Marko Jovanovic
- Department of Biological Sciences, Columbia University, New York, New York, USA.
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15
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Goldstein MJ, Peters M, Weber BL, Davis CB. Optimizing the Therapeutic Window of Targeted Drugs in Oncology: Potency-Guided First-in-Human Studies. Clin Transl Sci 2020; 14:536-543. [PMID: 33048459 PMCID: PMC7993318 DOI: 10.1111/cts.12902] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 09/07/2020] [Indexed: 12/27/2022] Open
Abstract
Many targeted therapies are administered at or near the maximum tolerated dose (MTD). With the advent of precision medicine, a larger therapeutic window is expected. Therefore, dose optimization will require a new approach to early clinical trial design. We analyzed publicly available data for 21 therapies targeting six kinases, and four poly (ADP‐ribose) polymerase inhibitors, focusing on potency and exposure to gain insight into dose selection. The free average steady‐state concentration (Css) at the approved dose was compared to the in vitro cell potency (half‐maximal inhibitory concentration (IC50)). Average steady‐state area under the plasma concentration‐time curve, the fraction unbound drug in plasma, and the cell potency were taken from the US drug labels, US and European regulatory reviews, and peer‐reviewed journal articles. The Css was remarkably similar to the IC50. The median Css/IC50 value was 1.2, and 76% of the values were within 3‐fold of unity. However, three drugs (encorafenib, erlotinib, and ribociclib) had a Css/IC50 value > 25. Seven other therapies targeting the same 3 kinases had much lower Css/IC50 values ranging from 0.5 to 4. These data suggest that these kinase inhibitors have a large therapeutic window that is not fully exploited; lower doses may be similarly efficacious with improved tolerability. We propose a revised first‐in‐human trial design in which dose cohort expansion is initiated at doses less than the MTD when there is evidence of clinical activity and Css exceeds a potency threshold. This potency‐guided approach is expected to maximize the therapeutic window thereby improving patient outcomes.
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16
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Understanding Inter-Individual Variability in Monoclonal Antibody Disposition. Antibodies (Basel) 2019; 8:antib8040056. [PMID: 31817205 PMCID: PMC6963779 DOI: 10.3390/antib8040056] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 11/22/2019] [Accepted: 11/27/2019] [Indexed: 12/29/2022] Open
Abstract
Monoclonal antibodies (mAbs) are currently the largest and most dominant class of therapeutic proteins. Inter-individual variability has been observed for several mAbs; however, an understanding of the underlying mechanisms and factors contributing to inter-subject differences in mAb disposition is still lacking. In this review, we analyze the mechanisms of antibody disposition and the putative mechanistic determinants of inter-individual variability. Results from in vitro, preclinical, and clinical studies were reviewed evaluate the role of the neonatal Fc receptor and Fc gamma receptors (expression and polymorphism), target properties (expression, shedding, turnover, internalization, heterogeneity, polymorphism), and the influence of anti-drug antibodies. Particular attention is given to the influence of co-administered drugs and disease, and to the physiological relevance of covariates identified by population pharmacokinetic modeling, as determinants of variability in mAb pharmacokinetics.
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17
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Butoxy Mansonone G Inhibits STAT3 and Akt Signaling Pathways in Non-Small Cell Lung Cancers: Combined Experimental and Theoretical Investigations. Cancers (Basel) 2019; 11:cancers11040437. [PMID: 30925736 PMCID: PMC6521096 DOI: 10.3390/cancers11040437] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 03/22/2019] [Accepted: 03/25/2019] [Indexed: 01/20/2023] Open
Abstract
Epidermal growth factor receptor (EGFR) is the key molecular target for non-small cell lung cancer (NSCLC) due to its major contribution to complex signaling cascades modulating the survival of cancer cells. Targeting EGFR-mediated signaling pathways has been proved as a potential strategy for NSCLC treatment. In the present study, mansonone G (MG), a naturally occurring quinone-containing compound, and its semi-synthetic ether derivatives were subjected to investigate the anticancer effects on human NSCLC cell lines expressing wild-type EGFR (A549) and mutant EGFR (H1975). In vitro cytotoxicity screening results demonstrated that butoxy MG (MG3) exhibits the potent cytotoxic effect on both A549 (IC50 of 8.54 μM) and H1975 (IC50 of 4.21 μM) NSCLC cell lines with low toxicity against PCS201-010 normal fibroblast cells (IC50 of 21.16 μM). Western blotting and flow cytometric analyses revealed that MG3 induces a caspase-dependent apoptosis mechanism through: (i) inhibition of p-STAT3 and p-Akt without affecting upstream p-EGFR and (ii) activation of p-Erk. The 500-ns molecular dynamics simulations and the molecular mechanics combined with generalized Born surface area (MM/GBSA)-based binding free energy calculations suggested that MG3 could possibly interact with STAT3 SH2 domain and ATP-binding pocket of Akt. According to principal component analysis, the binding of MG3 toward STAT3 and Akt dramatically altered the conformation of proteins, especially the residues in the active site, stabilizing MG3 mainly through van der Waals interactions.
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18
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London CA, Acquaviva J, Smith DL, Sequeira M, Ogawa LS, Gardner HL, Bernabe LF, Bear MD, Bechtel SA, Proia DA. Consecutive Day HSP90 Inhibitor Administration Improves Efficacy in Murine Models of KIT-Driven Malignancies and Canine Mast Cell Tumors. Clin Cancer Res 2018; 24:6396-6407. [PMID: 30171047 DOI: 10.1158/1078-0432.ccr-18-0703] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 07/03/2018] [Accepted: 08/27/2018] [Indexed: 11/16/2022]
Abstract
PURPOSE STA-1474, prodrug of the heat shock protein 90 inhibitor (HSP90i) ganetespib, previously demonstrated activity in canine preclinical models of cancer; interestingly, prolonged infusions were associated with improved biologic activity. The purpose of this study was to identify the ideal treatment schedule for HSP90i in preclinical models of KIT-driven malignancies and in dogs with spontaneous mast cell tumors (MCT), where KIT is a known driver. EXPERIMENTAL DESIGN In vitro and murine xenograft experiments and clinical studies in dogs with MCTs were used to define the effects of HSP90i-dosing regimen on client protein downregulation and antitumor activity. RESULTS Continuous HSP90 inhibition led to durable destabilization of client proteins in vitro; however, transient exposure required >10× drug for comparable effects. In vivo, KIT was rapidly degraded following a single dose of HSP90i but returned to baseline levels within a day. HSP90 levels increased and stabilized 16 hours after HSP90i and were not elevated following a subsequent near-term exposure, providing a functional pool of chaperone to stabilize proteins and a means for greater therapeutic activity upon HSP90i reexposure. HSP90i administered on days 1 and 2 (D1/D2) demonstrated increased biologic activity compared with D1 treatment in KIT or EGFR-driven murine tumor models. In a trial of dogs with MCT, D1/D2 dosing of HSP90i was associated with sustained KIT downregulation, 50% objective response rate and 100% clinical benefit rate compared with D1 and D1/D4 schedules. CONCLUSIONS These data provide further evidence that prolonged HSP90i exposure improves biologic activity through sustained downregulation of client proteins.
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Affiliation(s)
- Cheryl A London
- Departments of Veterinary Biosciences and Clinical Sciences, The Ohio State University, Columbus, Ohio. .,Cummings School of Veterinary Medicine, Tufts University, Grafton, Massachusetts
| | | | | | | | | | - Heather L Gardner
- Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Massachusetts
| | - Louis Feo Bernabe
- Departments of Veterinary Biosciences and Clinical Sciences, The Ohio State University, Columbus, Ohio
| | - Misty D Bear
- Departments of Veterinary Biosciences and Clinical Sciences, The Ohio State University, Columbus, Ohio
| | - Sandra A Bechtel
- Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, Missouri
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19
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Systems Modeling Identifies Divergent Receptor Tyrosine Kinase Reprogramming to MAPK Pathway Inhibition. Cell Mol Bioeng 2018; 11:451-469. [PMID: 30524510 PMCID: PMC6244947 DOI: 10.1007/s12195-018-0542-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Accepted: 07/17/2018] [Indexed: 12/25/2022] Open
Abstract
Introduction Targeted cancer therapeutics have demonstrated more limited clinical efficacy than anticipated, due to both intrinsic and acquired drug resistance. Underlying mechanisms have been largely attributed to genetic changes, but a substantial proportion of resistance observations remain unexplained by genomic properties. Emerging evidence shows that receptor tyrosine kinase (RTK) reprogramming is a major alternative process causing targeted drug resistance, separate from genetic alterations. Hence, the contributions of mechanisms leading to this process need to be more rigorously assessed. Methods To parse contributions of multiple mechanisms to RTK reprogramming, we have developed a quantitative multi-receptor and multi-mechanistic experimental framework and kinetic model. Results We find that RTK reprogramming mechanisms are disparate among RTKs and nodes of intervention in the MAPK pathway. Mek inhibition induces increased Axl and Her2 levels in triple negative breast cancer (TNBC) cells while Met and EGFR levels remain unchanged, with Axl and Her2 sharing re-wiring through increased synthesis and differing secondary contributing mechanisms. While three Mek inhibitors exhibited mechanistic similarity, three Erk inhibitors elicited effects different from the Mek inhibitors and from each other, with MAPK pathway target-specific effects correlating with Erk subcellular localization. Furthermore, we find that Mek inhibitor-induced RTK reprogramming occurs through both BET bromodomain dependent and independent mechanisms, motivating combination treatment with BET and Axl inhibition to overcome RTK reprogramming. Conclusions Our findings suggest that RTK reprogramming occurs through multiple mechanisms in a MAPK pathway target-specific manner, highlighting the need for comprehensive resistance mechanism profiling strategies during pharmacological development. Electronic supplementary material The online version of this article (10.1007/s12195-018-0542-y) contains supplementary material, which is available to authorized users.
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