Evidence map›Paper›PMID 35251316›Full record

ArticleTherapeutic advances in medical oncology2022

Molecular landscape of osimertinib resistance in patients and patient-derived preclinical models.

Sun Min Lim, San-Duk Yang, Sangbin Lim, Seong Gu Heo, Stetson Daniel, Aleksandra Markovets, Rafati Minoo, Kyoung-Ho Pyo, Mi Ran Yun, Min Hee Hong and 2 more

Abstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Bispecific antibody drug conjugates: Making 1+1>2.Acta pharmaceutica Sinica. B · 2024
    Review
  7. Primary resistance to ALK inhibitors inTranslational lung cancer research · 2023
    Article
  8. 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

12 authors.

Sun Min LimDivision of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea.
San-Duk YangDepartment of Cyber Security & AI Technology, Kyung Hee Cyber University, Seoul, Republic of Korea.
Sangbin LimYonsei Cancer Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Seong Gu HeoYonsei Cancer Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Stetson DanielTranslational Science, Oncology R&D, AstraZeneca, Boston, MA, USA.
Aleksandra MarkovetsTranslational Science, Oncology R&D, AstraZeneca, Boston, MA, USA.
Rafati MinooTranslational Science, Oncology R&D, AstraZeneca, Boston, MA, USA.
Kyoung-Ho PyoYonsei Cancer Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Mi Ran YunYonsei Cancer Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Min Hee HongDivision of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hye Ryun KimDivision of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea.
Byoung Chul ChoDivision of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, 03722, Republic of KoreaYonsei Cancer Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOsimertinib is a third-generation EGFR tyrosine kinase inhibitor (TKI) that is approved for the use of

methodsFormalin-fixed paraffin-embedded tumor samples and plasma samples from 55 NSCLC patients who were treated with osimertinib were collected at baseline and at progressive disease (PD). Next-generation sequencing was performed in tumor and plasma samples using a 600-gene hybrid capture panel designed by AstraZeneca. Osimertinib-resistant cell lines and patient-derived xenografts and cells were generated and whole exome sequencing and RNA sequencing were performed.

resultsA total of 55 patients and a total of 149 samples (57 tumor samples and 92 plasma samples) were analyzed, and among them 36 patients had matched pre- and post-treatment samples.

conclusionIn this study, we explored the genetic profiles of osimertinib-resistant NSCLC patient samples using targeted deep sequencing.

Indexed as

drug resistanceEGFR inhibitorlung cancernon-small cell lung cancertargeted therapy

Identifiers

PMID35251316
PMCPMC8891830

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Registered trials

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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.