molecular formula C28H33N7O2 B560133 Osimertinib CAS No. 1421373-65-0

Osimertinib

Cat. No.: B560133
CAS No.: 1421373-65-0
M. Wt: 499.6 g/mol
InChI Key: DUYJMQONPNNFPI-UHFFFAOYSA-N
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Properties

IUPAC Name

N-[2-[2-(dimethylamino)ethyl-methylamino]-4-methoxy-5-[[4-(1-methylindol-3-yl)pyrimidin-2-yl]amino]phenyl]prop-2-enamide
Source PubChem
URL https://pubchem.ncbi.nlm.nih.gov
Description Data deposited in or computed by PubChem

InChI

InChI=1S/C28H33N7O2/c1-7-27(36)30-22-16-23(26(37-6)17-25(22)34(4)15-14-33(2)3)32-28-29-13-12-21(31-28)20-18-35(5)24-11-9-8-10-19(20)24/h7-13,16-18H,1,14-15H2,2-6H3,(H,30,36)(H,29,31,32)
Source PubChem
URL https://pubchem.ncbi.nlm.nih.gov
Description Data deposited in or computed by PubChem

InChI Key

DUYJMQONPNNFPI-UHFFFAOYSA-N
Source PubChem
URL https://pubchem.ncbi.nlm.nih.gov
Description Data deposited in or computed by PubChem

Canonical SMILES

CN1C=C(C2=CC=CC=C21)C3=NC(=NC=C3)NC4=C(C=C(C(=C4)NC(=O)C=C)N(C)CCN(C)C)OC
Source PubChem
URL https://pubchem.ncbi.nlm.nih.gov
Description Data deposited in or computed by PubChem

Molecular Formula

C28H33N7O2
Source PubChem
URL https://pubchem.ncbi.nlm.nih.gov
Description Data deposited in or computed by PubChem

DSSTOX Substance ID

DTXSID501025961
Record name Osimertinib
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Description DSSTox provides a high quality public chemistry resource for supporting improved predictive toxicology.

Molecular Weight

499.6 g/mol
Source PubChem
URL https://pubchem.ncbi.nlm.nih.gov
Description Data deposited in or computed by PubChem

CAS No.

1421373-65-0
Record name Osimertinib
Source CAS Common Chemistry
URL https://commonchemistry.cas.org/detail?cas_rn=1421373-65-0
Description CAS Common Chemistry is an open community resource for accessing chemical information. Nearly 500,000 chemical substances from CAS REGISTRY cover areas of community interest, including common and frequently regulated chemicals, and those relevant to high school and undergraduate chemistry classes. This chemical information, curated by our expert scientists, is provided in alignment with our mission as a division of the American Chemical Society.
Explanation The data from CAS Common Chemistry is provided under a CC-BY-NC 4.0 license, unless otherwise stated.
Record name Osimertinib [USAN]
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Description ChemIDplus is a free, web search system that provides access to the structure and nomenclature authority files used for the identification of chemical substances cited in National Library of Medicine (NLM) databases, including the TOXNET system.
Record name Osimertinib
Source DrugBank
URL https://www.drugbank.ca/drugs/DB09330
Description The DrugBank database is a unique bioinformatics and cheminformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information.
Explanation Creative Common's Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/legalcode)
Record name Osimertinib
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URL https://comptox.epa.gov/dashboard/DTXSID501025961
Description DSSTox provides a high quality public chemistry resource for supporting improved predictive toxicology.
Record name OSIMERTINIB
Source FDA Global Substance Registration System (GSRS)
URL https://gsrs.ncats.nih.gov/ginas/app/beta/substances/3C06JJ0Z2O
Description The FDA Global Substance Registration System (GSRS) enables the efficient and accurate exchange of information on what substances are in regulated products. Instead of relying on names, which vary across regulatory domains, countries, and regions, the GSRS knowledge base makes it possible for substances to be defined by standardized, scientific descriptions.
Explanation Unless otherwise noted, the contents of the FDA website (www.fda.gov), both text and graphics, are not copyrighted. They are in the public domain and may be republished, reprinted and otherwise used freely by anyone without the need to obtain permission from FDA. Credit to the U.S. Food and Drug Administration as the source is appreciated but not required.

Preparation Methods

Traditional Synthetic Routes and Early Developments

Initial Discovery-Phase Synthesis

The original synthetic route for osimertinib involved seven linear steps starting from 2-fluoro-4-methoxyaniline, achieving an 8.6% overall yield. Key challenges included:

  • Nitro reduction inefficiencies : Early methods used iron powder for nitro group reduction, requiring extensive purification.

  • Acrylamide coupling : The final acryloyl chloride amidation step suffered from competing side reactions, necessitating flash column chromatography.

A representative reaction sequence included:

  • Nitration at position 5 of the aniline core.

  • Guanidination with cyanamide under acidic conditions.

  • Cyclocondensation with 3-(dimethylamino)-1-(1-methyl-1H-indol-3-yl)prop-2-en-1-one.

Limitations of Early Methods

  • Low yields : Multi-gram scales rarely exceeded 10% overall yield due to intermediate instability.

  • Chromatography dependence : Four of seven steps required silica gel purification, making industrial scaling impractical.

Convergent Synthesis Strategies

Dual Intermediate Approach

A breakthrough came with the convergent route dividing synthesis into two parallel branches:

Branch A (Indole-Pyrimidine Segment)

  • Starting material: 1-methyl-1H-indole-3-carbaldehyde.

  • Condensation with DMF-DMA (N,N-dimethylformamide dimethyl acetal) yielded 93% enamine intermediate.

  • Cyclization with guanidine derivatives at 100°C in 1-butanol achieved 71% yield.

Branch B (Aniline Core)

  • Nitration of 2-methoxy-5-nitroaniline using H2SO4/KNO3 at 5–10°C (94% yield).

  • Methylation with dimethyl sulfate in DMF (87% yield).

Final Coupling

  • Branches A and B underwent nucleophilic aromatic substitution in 1-butanol/NaOH:

    Yield=89%, Purity>99% (HPLC)[2]\text{Yield} = 89\%,\ \text{Purity} > 99\%\ (\text{HPLC})

Advantages Over Linear Routes

  • Yield improvement : 40.4% overall yield across six steps.

  • Reduced chromatography : Only final product required recrystallization (EtOAc/EtOH).

Industrial-Scale Manufacturing Processes

Current Good Manufacturing Practice (cGMP) Synthesis

The European Medicines Agency (EMA)-approved route involves four main steps:

StepDescriptionKey ConditionsYield (%)
1NitrationH2SO4, KNO3, 5–10°C94
2GuanidinationCyanamide, HCl, 75°C86
3MethylationMe2SO4, NaH, DMF, RT87
4Cyclocondensation & Acrylamidation1-butanol/NaOH, 100°C71

Critical quality attributes:

  • Polymorphism control : Only Form A is produced despite extensive screening.

  • Stability : 12-month retest period under ambient storage.

Solvent System Innovations

The patent-pending method replaces dichloromethane with acetone-water mixtures during acryloyl chloride coupling:

  • Base-free conditions : Eliminates diisopropylethylamine, reducing byproduct formation.

  • Yield enhancement : 86.5% vs. 70% in traditional routes.

Novel Methodologies and Process Improvements

In-Situ Chloropropanamide Elimination

A 2025 patent describes avoiding acryloyl chloride entirely:

  • React 3-chloropropanoyl chloride with triethylamine in acetone.

  • Eliminate HCl to generate acrylamide in situ.

  • Achieve 89% conversion without cryogenic conditions.

Continuous Flow Chemistry

Pilot-scale trials demonstrate:

  • Throughput : 2.3 kg/day using microreactors for nitration and cyclization.

  • Impurity control : ≤0.05% for all specified degradants.

Analytical Characterization and Quality Control

Spectroscopic Validation

  • 1H NMR : Characteristic shifts at δ 9.70 (indole NH), 8.64 (pyrimidine H).

  • HPLC : Retention time = 12.4 min (C18 column, 0.1% H3PO4/ACN).

Stability-Indicating Methods

Forced degradation studies reveal:

  • Acid stability : ≤2% degradation after 24h at pH 1.

  • Oxidative susceptibility : 15% decomposition with 3% H2O2.

Comparative Analysis of Preparation Methods

ParameterTraditionalConvergentIndustrialPatent
Total Steps7645
Overall Yield (%)8.640.45386.5
Key SolventDCM1-butanolEtOHAcetone
Chromatography4 steps1 stepNoneNone
Scalability<100g1kgMulti-tonMulti-ton

Chemical Reactions Analysis

Metabolic Pathways and Biotransformation

Osimertinib undergoes hepatic metabolism via two primary routes:

  • Oxidation : Primarily mediated by CYP3A4/5 enzymes, forming active metabolites AZ7550 and AZ5104.
  • Dealkylation : Produces AZ5104, which exhibits greater potency against wild-type EGFR than the parent compound.

Key Metabolites:

MetaboliteStructure ModificationEnzymatic PathwayRelative Potency vs. This compound
AZ7550DemethylationCYP3A4Similar
AZ5104Dealkylation + oxidationCYP3A4/CYP1A18× higher (T790M), 15× (wild-type)

Deuteration at specific positions (e.g., this compound-d3) reduces AZ5104 formation due to kinetic isotope effects, confirming CYP3A’s role in demethylation.

Michael Addition Reaction in Plasma

This compound’s acrylamide group reacts with free cysteine in plasma via a Michael addition , leading to instability. This reaction is pH- and temperature-dependent:

ConditionStability (24 hrs)Mitigation Strategy
Plasma at 25°C<50%Add 80% acetonitrile during sample prep
Acidified plasma>90%Use 0.1% formic acid

The adducts disrupt quantification in pharmacokinetic studies, necessitating stabilization protocols.

Covalent Binding to EGFR

This compound forms an irreversible covalent bond with cysteine-797 in EGFR’s ATP-binding pocket via its acrylamide moiety. This interaction is critical for targeting T790M/L858R mutants selectively:

TargetBinding Affinity (IC₅₀)Selectivity vs. Wild-Type EGFR
L858R/T790M mutant12 nM200× higher
Wild-type EGFR480 nM

Structural studies show that mutations (e.g., C797S) abolish covalent binding, conferring resistance.

Species-Specific Metabolism

This compound’s metabolic pathways differ between humans and mice:

SpeciesMajor EnzymeKey MetaboliteClinical Relevance
HumanCYP3A4AZ5104Dose adjustments needed with CYP3A inhibitors
MouseCyp2d clusterAZ7550Limits translational relevance of murine models

CYP1A1 induction further accelerates this compound clearance in humanized models.

Degradation Under Oxidative Conditions

In vitro studies reveal this compound’s susceptibility to oxidative degradation:

Stress ConditionDegradation ProductsAnalytical Method
H₂O₂ (0.1%)Epoxide derivativesUPLC-MS/MS (m/z 500.2→72.1)
Light exposurePhoto-oxidation productsNot characterized

Stabilization requires storage at −70°C with antioxidants like ascorbic acid.

Synthetic Modifications and Deuterated Analogues

Deuteration at the methylene bridge (this compound-d3) alters metabolic kinetics:

ParameterThis compoundThis compound-d3Effect
AUC₀–t (ng·h/mL)1,2001,80050% increase due to reduced CYP3A4 activity
Cmax (ng/mL)24032033% higher exposure

This strategy mitigates AZ5104-related toxicity while maintaining efficacy.

Reaction with Glutathione

This compound’s acrylamide group reacts with glutathione (GSH) in vitro, forming a thioether adduct:

GSH Concentration (mM)Adduct Formation (%)LC-MS Transition (m/z)
1.025%827.3→352.1
5.068%827.3→352.1

This reaction underscores its potential for off-target interactions.

pH-Dependent Solubility

This compound mesylate exhibits pH-dependent solubility, influencing formulation design:

pHSolubility (mg/mL)Bioavailability Impact
1.20.85Optimal absorption
6.80.12Reduced in intestinal fluid

Scientific Research Applications

Adjuvant Therapy Post-Surgery

Recent studies have highlighted the efficacy of osimertinib as an adjuvant therapy for patients with resected stage IB to IIIA NSCLC harboring EGFR mutations. The ADAURA trial demonstrated that patients receiving this compound after surgery had significantly improved disease-free survival (DFS) compared to those receiving placebo. Key findings from the trial include:

  • Survival Rates : At five years, 88% of patients treated with this compound were alive compared to 78% in the placebo group.
  • Disease Control : this compound reduced the risk of local and distant metastases and improved central nervous system DFS.

First-Line Treatment for Advanced NSCLC

This compound is also indicated as a first-line treatment for patients with advanced NSCLC who have activating EGFR mutations. Clinical trials have reported high overall response rates (ORR) and prolonged progression-free survival (PFS):

  • Efficacy Metrics : A meta-analysis indicated an ORR of 79% and a disease control rate (DCR) of 97% in treatment-naïve patients.
  • PFS Outcomes : The median PFS was reported at approximately 18.9 months for first-line this compound treatment.

Treatment for CNS Metastases

This compound has shown notable efficacy in patients with CNS metastases from NSCLC. Studies indicate that it penetrates the blood-brain barrier effectively, leading to significant tumor regression:

  • CNS Response Rates : In trials such as AURA3, the confirmed CNS ORR was reported at 70%, significantly higher than traditional chemotherapy regimens.

Safety Profile

While this compound is generally well-tolerated, it is associated with specific adverse effects, including interstitial lung disease, skin reactions, and gastrointestinal issues. In the ADAURA trial, serious adverse events occurred in 16% of the this compound group compared to 12% in the placebo group. Monitoring for these effects is crucial during treatment.

Case Study 1: Early-Stage NSCLC

A patient diagnosed with stage IIIB NSCLC underwent surgical resection followed by adjuvant treatment with this compound. Post-treatment imaging showed no evidence of recurrence after two years, supporting the drug's role in preventing relapse in early-stage disease.

Case Study 2: Advanced NSCLC with CNS Metastasis

Another patient with advanced NSCLC and confirmed T790M mutation received this compound after progression on first-line therapy. The patient experienced a significant reduction in tumor size within three months, illustrating this compound's effectiveness against CNS lesions.

Biological Activity

Pharmacokinetics and Metabolism

This compound is metabolized into two primary active metabolites: AZ5104 and AZ7550. Both metabolites retain significant inhibitory activity against EGFR mutations. Notably, AZ5104 is more potent against exon 19 deletions and T790M mutations than this compound itself. This compound also demonstrates superior blood-brain barrier penetration compared to other EGFR TKIs, which is critical for treating patients with CNS metastases.

Clinical Efficacy

This compound has been evaluated across multiple clinical trials, demonstrating robust efficacy in various patient populations with NSCLC:

Key Clinical Findings

  • AURA Trials :
    • AURA3 trial showed an overall response rate (ORR) of 63.3% with a disease control rate (DCR) of 93.3% among patients previously treated with other EGFR TKIs.
    • Median progression-free survival (mPFS) was reported at 10.41 months , with median overall survival (mOS) reaching 31.37 months .
  • UNICORN Study :
    • In a cohort of previously untreated patients with uncommon EGFR mutations, this compound achieved an ORR of 55% and mPFS of 9.4 months .
  • ARTICUNO Study :
    • This study confirmed this compound's activity in patients with uncommon EGFR mutations, reporting an intracranial ORR of 58% , emphasizing its efficacy even in the presence of brain metastases.

Table: Summary of Clinical Outcomes

StudyPatient PopulationORR (%)DCR (%)mPFS (months)mOS (months)
AURA3Prior TKI-treated NSCLC63.393.310.4131.37
UNICORNUntreated NSCLC with uncommon mutations55N/A9.4N/A
ARTICUNONSCLC with uncommon mutationsN/AN/AN/AN/A

Safety Profile

This compound is generally well-tolerated, with a low incidence of serious adverse effects. The most common side effects include diarrhea, rash, and dry skin, which are manageable and typically do not lead to treatment discontinuation. Notably, the incidence of hyperglycemia is less than 1%, attributed to its selective action on EGFR without significant off-target effects on insulin receptors.

Case Studies

Several case studies highlight the real-world effectiveness of this compound:

  • A patient cohort from a multicenter study demonstrated sustained tumor shrinkage after starting this compound therapy, confirming its effectiveness in advanced stages of NSCLC.
  • Another case series reported that patients with CNS metastases experienced significant improvements in both neurological symptoms and tumor size following treatment with this compound.

Q & A

Basic Research Questions

Q. What experimental methodologies are critical for elucidating osimertinib's mechanism of action and selectivity for EGFR mutations?

  • Methodological Answer : Use crystallographic studies to analyze binding affinities to wild-type EGFR vs. T790M/L858R mutants . Combine kinase inhibition assays (e.g., ADP-Glo™ Kinase Assay) to quantify IC50 values across EGFR variants. Validate selectivity via cell viability assays in isogenic cell lines (e.g., PC-9 with EGFR exon 19 deletions vs. H1975 with T790M mutations) .

Q. How can researchers design robust clinical trials to evaluate this compound's efficacy in EGFR-mutant NSCLC?

  • Methodological Answer : Adopt randomized controlled trials (RCTs) with progression-free survival (PFS) and overall survival (OS) as primary endpoints. Stratify cohorts by mutation subtype (e.g., exon 19 del vs. L858R) and prior treatment history. Use RECIST 1.1 criteria for tumor response assessment and Kaplan-Meier analysis for survival curves . Include crossover arms to address ethical concerns in placebo groups .

Q. What statistical approaches are recommended for analyzing this compound's safety profile in heterogeneous patient populations?

  • Methodological Answer : Apply Cox proportional hazards models to correlate adverse events (e.g., interstitial lung disease) with baseline covariates (age, smoking history). Use Fisher’s exact test to compare grade ≥3 adverse event rates between this compound and comparator TKIs. Pooled analysis of phase III trials (e.g., FLAURA, AURA3) can enhance statistical power .

Advanced Research Questions

Q. How can researchers resolve contradictions in this compound's reported efficacy across different ethnic subgroups?

  • Methodological Answer : Conduct meta-regression analyses to assess ethnicity as a covariable. Use genome-wide association studies (GWAS) to identify pharmacogenetic variants (e.g., CYP3A4 polymorphisms) affecting drug metabolism. Collaborate with international consortia (e.g., LC-SCRUM-Asia) to harmonize data collection and reduce confounding .

Q. What preclinical models best recapitulate this compound resistance mechanisms, and how should they be validated?

  • Methodological Answer : Develop patient-derived xenograft (PDX) models from this compound-resistant NSCLC biopsies. Perform whole-exome sequencing to identify resistance drivers (e.g., MET amplification, C797S mutations). Validate findings using CRISPR-Cas9 knock-in/knockout models and orthogonal assays (e.g., Western blot for bypass pathway activation) .

Q. Which methodologies are optimal for investigating this compound's synergism with immune checkpoint inhibitors (ICIs)?

  • Methodological Answer : Use syngeneic mouse models (e.g., MC38 tumors with EGFR mutations) to assess tumor-infiltrating lymphocyte (TIL) populations post-treatment. Combine RNA-seq and multiplex immunohistochemistry (IHC) to profile PD-L1 expression and T-cell exhaustion markers. Phase Ib/II trials should employ Simon’s two-stage designs to evaluate dose-limiting toxicities .

Q. How can researchers address discrepancies in this compound's CNS penetration data across pharmacokinetic studies?

  • Methodological Answer : Standardize cerebrospinal fluid (CSF) sampling protocols (timing relative to dosing, LC-MS/MS quantification). Compare blood-brain barrier (BBB) penetration in genetically engineered mouse models (GEMMs) vs. non-human primates. Use PET imaging with <sup>11</sup>C-labeled this compound to quantify real-time brain distribution .

Methodological and Data Analysis Questions

Q. What strategies mitigate bias when analyzing retrospective real-world evidence (RWE) on this compound?

  • Methodological Answer : Apply propensity score matching to balance confounders (e.g., ECOG performance status, prior therapies). Use sensitivity analyses to test robustness against unmeasured variables. Adhere to STROBE guidelines for RWE reporting .

Q. How should researchers design studies to identify predictive biomarkers for this compound response?

  • Methodological Answer : Integrate multi-omics data (ctDNA sequencing, proteomics) from baseline tumor biopsies. Use machine learning (e.g., random forest models) to prioritize biomarkers. Validate candidates in independent cohorts via IHC (e.g., EGFR phosphorylation status) or droplet digital PCR (ddPCR) .

Q. What frameworks guide the formulation of clinically relevant research questions for this compound combination therapies?

  • Methodological Answer : Adopt the PICO framework:
  • P opulation: EGFR-mutant NSCLC patients with acquired resistance.
  • I ntervention: this compound + MET inhibitor (e.g., savolitinib).
  • C omparator: this compound monotherapy.
  • O utcome: PFS, ORR, and incidence of resistance mutations.
    Ensure feasibility using FINER criteria (Feasible, Interesting, Novel, Ethical, Relevant) .

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