Evidence map›Paper›PMID 35727144›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2022

Mechanistic Modeling of Central Nervous System Pharmacokinetics and Target Engagement of HER2 Tyrosine Kinase Inhibitors to Inform Treatment of Breast Cancer Brain Metastases.

Jing Li, Jun Jiang, Xun Bao, Vineet Kumar, Stephen C Alley, Scott Peterson, Anthony J Lee

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Anti-HER2-targeted therapies: effects on humanFrontiers in drug delivery · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Mechanistic Modeling of Intrathecal Chemotherapy Pharmacokinetics in the Human Central Nervous System.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  15. Article
  16. Article
  17. Individualize management for advanced breast cancer with pyrotinib-based anti-HER2 therapy: a case report.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Jing LiKarmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan.ORCID 0000-0002-9924-1386
Jun JiangKarmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan.
Xun BaoKarmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan.
Vineet KumarTranslational Sciences, Seagen Inc., Bothell, Washington.ORCID 0000-0001-7193-9646
Stephen C AlleyTranslational Sciences, Seagen Inc., Bothell, Washington.
Scott PetersonResearch, Seagen Inc., Bothell, Washington.
Anthony J LeeTranslational Sciences, Seagen Inc., Bothell, Washington.
Seagen (United States) · USThe Barbara Ann Karmanos Cancer Institute · US

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI PAUL M STEMMER · 1985 to 2026
$68.4M
Physiologically Based Pharmacokinetic Modeling of Drug Penetration into the Human Brain and Brain TumorsR01CA255124 · NCI · WAYNE STATE UNIVERSITY · PI LI, JING, SANAI, NADER · 2021 to 2025
$1.9M
NCI NIH HHS P30 CA022453NCI NIH HHS R01 CA255124
6 · The paper itself

Abstract

purposeThis study evaluated the central nervous system (CNS) pharmacokinetics and target engagement of lapatinib, neratinib, and tucatinib in patients with cancer, using a physiologically based pharmacokinetic (PBPK) modeling approach. EXPERIMENTAL

designDrug-specific parameters for in vitro metabolism, binding to plasma proteins and brain tissues, transcellular passive permeability, and interactions with efflux transporters were determined. Whole-body PBPK models integrated with a 4-compartment permeability-limited brain model was developed and verified for predicting plasma and CNS pharmacokinetics. Target engagement ratio (TER), defined as the ratio of the average steady-state unbound drug brain concentration (Css,ave,br) to in vitro IC50 for HER2 inhibition, was used as a predictor of intracranial efficacy.

resultsPBPK models predicted that following 1 cycle of standard dosing, tucatinib and lapatinib achieved similar Css,ave,br (14.5 vs. 16.8 nmol/L), while neratinib Css,ave,br (0.68 nmol/L) was 20-fold lower. Tucatinib and neratinib were equally potent for HER2 inhibition (IC50, 6.9 vs. 5.6 nmol/L), while lapatinib was less potent (IC50, 109 nmol/L). The model-predicted population mean TER in the human normal brain was 2.1 for tucatinib, but < 0.20 for lapatinib and neratinib.

conclusionsThe PBPK modeling suggests that tucatinib induces sufficient HER2 inhibition (TER > 2.0) in not only brain metastases with a disrupted blood-brain barrier (BBB), but also micrometastases where the BBB largely remains intact. These findings, in line with available clinical pharmacokinetics and efficacy data, support the therapeutic value of tucatinib for treatment of brain metastases and warrant further clinical investigation for the prevention of brain metastases in patients with HER2-positive breast cancer.

Indexed as

Brain NeoplasmsBreast NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsCentral Nervous SystemErb-b2 Receptor Tyrosine KinasesFemaleHumansLapatinibProtein Kinase InhibitorsErb-b2 Receptor Tyrosine KinasesLapatinibProtein Kinase Inhibitors

Identifiers

PMID35727144
PMCPMC9357092
OpenAlexW4283260308

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.