Evidence map›Paper›PMID 35216325›Full record

ArticleInternational journal of molecular sciences2022

A Transcriptomic Approach to Elucidate the Mechanisms of Gefitinib-Induced Toxicity in Healthy Human Intestinal Organoids.

Daniela Rodrigues, Bram Herpers, Sofia Ferreira, Heeseung Jo, Ciarán Fisher, Luke Coyle, Seung-Wook Chung, Jos C S Kleinjans, Danyel G J Jennen, Theo M de Kok

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. 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 3 institutions in 3 countries.

Daniela RodriguesDepartment of Toxicogenomics, GROW School for Oncology and Developmental Biology, Maastricht University, 6229 ER Maastricht, The Netherlands.ORCID 0000-0001-5527-6627
Bram HerpersCrown Bioscience Netherlands B.V., J.H. Oortweg 21, 2333 CH Leiden, The Netherlands.
Sofia FerreiraSimcyp Division, Certara UK Limited, Sheffield S1 2BJ, UK.
Heeseung JoSimcyp Division, Certara UK Limited, Sheffield S1 2BJ, UK.
Ciarán FisherSimcyp Division, Certara UK Limited, Sheffield S1 2BJ, UK.
Luke CoyleBoehringer Ingelheim International GmbH, Pharmaceuticals Inc., Ridgefield, CT 06877, USA.
Seung-Wook ChungBoehringer Ingelheim International GmbH, Pharmaceuticals Inc., Ridgefield, CT 06877, USA.
Jos C S KleinjansDepartment of Toxicogenomics, GROW School for Oncology and Developmental Biology, Maastricht University, 6229 ER Maastricht, The Netherlands.
Danyel G J JennenDepartment of Toxicogenomics, GROW School for Oncology and Developmental Biology, Maastricht University, 6229 ER Maastricht, The Netherlands.ORCID 0000-0002-8618-2487
Theo M de KokDepartment of Toxicogenomics, GROW School for Oncology and Developmental Biology, Maastricht University, 6229 ER Maastricht, The Netherlands.
Maastricht University · NLSimcyp (United Kingdom) · GBBoehringer Ingelheim (United States) · US

Funding

Innovative Medicines Initiative 116030
6 · The paper itself

Abstract

Gefitinib is a tyrosine kinase inhibitor (TKI) that selectively inhibits the epidermal growth factor receptor (EGFR), hampering cell growth and proliferation. Due to its action, gefitinib has been used in the treatment of cancers that present abnormally increased expression of EGFR. However, side effects from gefitinib therapy may occur, among which diarrhoea is most common, that can lead to interruption of the planned therapy in the more severe cases. The mechanisms underlying intestinal toxicity induced by gefitinib are not well understood. Therefore, this study aims at providing insight into these mechanisms based on transcriptomic responses induced in vitro. A 3D culture of healthy human colon and small intestine (SI) organoids was exposed to 0.1, 1, 10 and 30 µM of gefitinib, for a maximum of three days. These drug concentrations were selected using physiologically-based pharmacokinetic simulation considering patient dosing regimens. Samples were used for the analysis of viability and caspase 3/7 activation, image-based analysis of structural changes, as well as RNA isolation and sequencing via high-throughput techniques. Differential gene expression analysis showed that gefitinib perturbed signal transduction pathways, apoptosis, cell cycle, FOXO-mediated transcription, p53 signalling pathway, and metabolic pathways. Remarkably, opposite expression patterns of genes associated with metabolism of lipids and cholesterol biosynthesis were observed in colon versus SI organoids in response to gefitinib. These differences in the organoids' responses could be linked to increased activated protein kinase (AMPK) activity in colon, which can influence the sensitivity of the colon to the drug. Therefore, this study sheds light on how gefitinib induces toxicity in intestinal organoids and provides an avenue towards the development of a potential tool for drug screening and development.

Indexed as

AgedAntineoplastic AgentsApoptosisCell CycleCell ProliferationDrug Resistance, NeoplasmErbB ReceptorsGefitinibHumansIntestinesMaleOrganoidsQuinazolinesSignal TransductionTranscriptomeTumor Suppressor Protein p53Antineoplastic AgentsErbB ReceptorsGefitinibQuinazolinesTumor Suppressor Protein p53gefitinibhuman intestinal organoidsmolecular mechanismstoxicitytranscriptomics

Identifiers

PMID35216325
PMCPMC8876167
OpenAlexW4212792827

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.