Evidence map›Paper›PMID 33009209›Full record

ArticleJournal of the Chinese Medical Association : JCMA2021

Generation of osimertinib-resistant cells from epidermal growth factor receptor L858R/T790M mutant non-small cell lung carcinoma cell line.

Nalini Devi Verusingam, Yi-Chen Chen, Heng-Fu Lin, Chao-Yu Liu, Ming-Cheng Lee, Kai-Hsi Lu, Soon-Keng Cheong, Alan Han-Kiat Ong, Shih-Hwa Chiou, Mong-Lien Wang

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Chinese Medical Association : JCMA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
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 5 institutions in 2 countries.

Nalini Devi VerusingamCentre for Stem Cell Research, Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Selangor, Malaysia.
Yi-Chen ChenDepartment of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Heng-Fu LinDivision of Thoracic Surgery, Department of Surgery, Far Eastern Memorial Hospital, New Taipei City, Taiwan, ROC.
Chao-Yu LiuDivision of Traumatology, Department of Surgery, Far Eastern Memorial Hospital, New Taipei City, Taiwan, ROC.
Ming-Cheng LeeDivision of Infectious Diseases, Department of Internal Medicine, Cheng-Hsin General Hospital, Taipei, Taiwan, ROC.
Kai-Hsi LuDepartment of Medical Research and Education, Cheng-Hsin General Hospital, Taipei, Taiwan, ROC.
Soon-Keng CheongCentre for Stem Cell Research, Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Selangor, Malaysia.
Alan Han-Kiat OngCentre for Stem Cell Research, Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Selangor, Malaysia.
Shih-Hwa ChiouInstitute of Pharmacology, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Mong-Lien WangInstitute of Pharmacology, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Cheng Hsin General Hospital · TWFar Eastern Memorial Hospital · TWNational Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TWUniversiti Tunku Abdul Rahman · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer contributes to high cancer mortality worldwide with 80% of total cases diagnosed as non-small cell lung cancer (NSCLC). Epidermal growth factor receptor (EGFR) tyrosine kinase (TK) domain serves as a druggable target in NSCLC patients with exon 19 deletion and L858R mutation. However, patients eventually succumbed to resistance to first- and second-generation EGFR-TK inhibitors through activation of T790M mutation. Third-generation EGFR-TKI, Osimertinib exhibits high efficacy in patients with exon 19 deletion/L858R/T790M mutation but they experienced acquired resistance thereafter. Available treatment options in NSCLC patients remains a challenge due to unknown molecular heterogeneity responsible for acquired resistance to EGFR-TKI. In this study, we aim to generate Osimertinib-resistant (OR) cells from H1975 carrying L858R/T790M double mutation which can be used as a model to elucidate mechanism of resistance.

methodsOR cells were established via stepwise-dose escalation and limiting single-cell dilution method. We then evaluated Osimertinib resistance potential via cell viability assay. Proteins expression related to EGFR-signalling, epithelial to mesenchymal transition (EMT), and autophagy were analyzed via western blot.

resultsOR cell lines exhibited increased drug resistance potential compared to H1975. Distinguishable mesenchymal-like features were observed in OR cells. Protein expression analysis revealed EGFR-independent signaling involved in the derived OR cells as well as EMT and autophagy activity.

conclusionWe generated OR cell lines in-vitro as evidenced by increased drug resistance potential, increased mesenchymal features, and enhanced autophagy activity. Development of Osimertinib resistance cells may serve as in-vitro model facilitating discovery of molecular aberration present during acquired mechanism of resistance.

Indexed as

Drug Resistance, NeoplasmAcrylamidesAniline CompoundsAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCell Line, TumorErbB ReceptorsHumansIndolesMutationProtein-Tyrosine KinasesPyrimidinesAcrylamidesAniline CompoundsAntineoplastic AgentsEGFR protein, humanErbB ReceptorsIndolesosimertinibProtein-Tyrosine KinasesPyrimidines

Identifiers

PMID33009209
PMCPMC12966177
OpenAlexW3090944022

What Socratic 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 Socratic graph.