Evidence map›Paper›PMID 30365094›Full record

ArticleOncology reports2019

Osimertinib (AZD9291) increases radio‑sensitivity in EGFR T790M non‑small cell lung cancer.

Nannan Wang, Linlin Wang, Xiangjiao Meng, Jia Wang, Lifang Zhu, Changting Liu, Shaorong Li, Li Zheng, Zhenfan Yang, Ligang Xing and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

11 authors at 4 institutions in 1 country.

Nannan WangDepartment of Oncology, School of Medicine and Life Sciences, University of Jinan‑Shandong Academy of Medical Sciences, Jinan, Shandong 250022, P.R. China.
Linlin WangDepartment of Radiation Oncology, Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Science, Jinan, Shandong 250117, P.R. China.
Xiangjiao MengDepartment of Radiation Oncology, Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Science, Jinan, Shandong 250117, P.R. China.
Jia WangAsia Innovative Medicines and Early Development, AstraZeneca, Shanghai 201203, P.R. China.
Lifang ZhuAsia Innovative Medicines and Early Development, AstraZeneca, Shanghai 201203, P.R. China.
Changting LiuAsia Innovative Medicines and Early Development, AstraZeneca, Shanghai 201203, P.R. China.
Shaorong LiAsia Innovative Medicines and Early Development, AstraZeneca, Shanghai 201203, P.R. China.
Li ZhengAsia Innovative Medicines and Early Development, AstraZeneca, Shanghai 201203, P.R. China.
Zhenfan YangAsia Innovative Medicines and Early Development, AstraZeneca, Shanghai 201203, P.R. China.
Ligang XingDepartment of Radiation Oncology, Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Science, Jinan, Shandong 250117, P.R. China.
Jinming YuDepartment of Radiation Oncology, Shandong Key Laboratory of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Science, Jinan, Shandong 250117, P.R. China.
Shanghai Innovative Research Center of Traditional Chinese Medicine · CNShandong First Medical University · CNShandong Tumor Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osimertinib (AZD9291) is a third generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor that has demonstrated significant clinical benefits in patients with EGFR‑sensitizing mutations or the T790M mutation. However, the potential therapeutic effect of osimertinib combined with ionizing irradiation (IR) is not well understood. The present study investigated treatment with osimertinib combined with IR in EGFR T790M non‑small cell lung cancer (NCI‑H1975) in vitro and in vivo. The results revealed that osimertinib inhibited proliferation and clonogenic survival following irradiation, decreased G2/M phase arrest in irradiated cells, and delayed DNA damage repair in a concentration‑ and time‑dependent manner. Furthermore, osimertinib alone or in combination with IR, blocked the phosphorylation of EGFR (Tyr1068/Tyr1173), protein kinase B and extracellular signal‑regulated kinase. Osimertinib also enhanced the antitumor activity of IR in tumor‑bearing nude mice. The results of the present study indicated that osimertinib has therapeutic potential as a radiation‑sensitizer in lung cancer cells harboring the EGFR T790M mutation, providing a rationale for clinically combining osimertinib with irradiation in EGFR T790M non‑small cell lung cancer.

Indexed as

AcrylamidesAniline CompoundsAnimalsCarcinoma, Non-Small-Cell LungCell Line, TumorCell ProliferationCell SurvivalErbB ReceptorsGene Expression Regulation, NeoplasticHumansIndolesLung NeoplasmsMiceMutationPhosphorylationPiperazinesAcrylamidesAniline CompoundsEGFR protein, humanErbB ReceptorsIndolesosimertinibPiperazinesPyrimidinesRadiation-Sensitizing Agents

Identifiers

PMID30365094
PMCPMC6278463
OpenAlexW2897166619

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.