Evidence map›Paper›PMID 34850607›Full record

ArticleCPT: pharmacometrics & systems pharmacology2022

Quantitative systems pharmacology model-based investigation of adverse gastrointestinal events associated with prolonged treatment with PI3-kinase inhibitors.

Kapil Gadkar, Christina Friedrich, Vincent Hurez, Maria-Luisa Ruiz, Leslie Dickmann, Mohit Kumar Jolly, Leah Schutt, Jin Jin, Joseph A Ware, Saroja Ramanujan

Open access · goldAbstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Targeting T regulatory (TCancer drug resistance (Alhambra, Calif.) · 2024
    Review
  5. Article
  6. Article
  7. Quantitative approaches to drug safety: The 2022 PSP special issue.CPT: pharmacometrics & systems pharmacology · 2022
    Article
  8. 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

10 authors at 1 institution in 1 country.

Kapil GadkarGenentech, South San Francisco, California, USA.
Christina FriedrichRosa & Co., LLC, San Carlos, California, USA.
Vincent HurezRosa & Co., LLC, San Carlos, California, USA.
Maria-Luisa RuizRosa & Co., LLC, San Carlos, California, USA.
Leslie DickmannGenentech, South San Francisco, California, USA.
Mohit Kumar JollyGenentech, South San Francisco, California, USA.
Leah SchuttGenentech, South San Francisco, California, USA.
Jin JinGenentech, South San Francisco, California, USA.
Joseph A WareGenentech, South San Francisco, California, USA.
Saroja RamanujanGenentech, South San Francisco, California, USA.
Rosa (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several PI3K inhibitors are in clinical development for the treatment of various forms of cancers, including pan-PI3K inhibitors targeting all four PI3K isoforms (α, β, γ, and δ), and isoform-selective inhibitors. Diarrhea and immune-mediated colitis are among the adverse events observed with PI3K inhibition which limits the maximal tolerated dose. A quantitative systems pharmacology model was developed to investigate PI3K-inhibitor-induced colitis. The effects of individual PI3K isoforms on relevant cellular pathways were incorporated into a mechanistic representation of mucosal inflammation. A virtual clinical population captures the observed clinical variability in the onset timing and rates of diarrhea and colitis for seven clinically tested PI3K inhibitors. Model-based analysis suggests that colitis development is governed by both the inhibition of PI3Kδ, which drives T cell differentiation and proliferation, and PI3Kα, which regulates epithelial barrier integrity. Specifically, when PI3Kα is inhibited below a given threshold, epithelial barrier dysfunction precipitates an exaggerated T effector response due to PI3Kδ-inhibition, leading to risk of diarrhea and colitis. This synergy explains why the lowest diarrhea and colitis rates are seen with the weakest PI3Kδ inhibition (alpelisib), and higher rates are seen with strong PI3Kδ inhibition if PI3Kα is even mildly inhibited (e.g., idelalisib), whereas strong PI3Kδ inhibition in the absence of PI3Kα inhibition does not result in high colitis rates (umbralisib). Thus, the model-based analysis suggests that PI3Kα and δ inhibition play unique but synergistic roles in driving colitis. Finally, we explore if and how dose-regimen might influence colitis rates for molecules that inhibit both PI3Kα and PI3Kδ.

Indexed as

ColitisPhosphatidylinositol 3-KinasesDiarrheaHumansNetwork PharmacologyPhosphoinositide-3 Kinase InhibitorsProtein IsoformsPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProtein Isoforms

Identifiers

PMID34850607
PMCPMC9124351
OpenAlexW3215077201

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.