Evidence map›Paper›PMID 26065573›Full record

ArticleScientific reports2015

The EGFR mutation status affects the relative biological effectiveness of carbon-ion beams in non-small cell lung carcinoma cells.

Napapat Amornwichet, Takahiro Oike, Atsushi Shibata, Chaitanya S Nirodi, Hideaki Ogiwara, Haruhiko Makino, Yuka Kimura, Yuka Hirota, Mayu Isono, Yukari Yoshida and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Role of Different Enzymes in HInternational journal of molecular sciences · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Research Progress of Heavy Ion Radiotherapy for Non-Small-Cell Lung Cancer.International journal of molecular sciences · 2022
    Review
  6. Review
  7. Cancers · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Radiosensitivity Differences betweenInternational journal of molecular sciences · 2019
    Article
  15. Article
  16. Article
  17. Review
  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

13 authors.

Napapat Amornwichet1] Department of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan [2] Department of Radiology, Chulalongkorn University, Pathumwan, Bangkok, Thailand.
Takahiro Oike1] Department of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan [2] Division of Genome Biology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.
Atsushi ShibataAdvanced Scientific Research Leaders Development Unit, Gunma University, Maebashi, Gunma, Japan.
Chaitanya S NirodiDepartment of Oncologic Sciences, Mitchell Cancer Institute, Alabama, USA.
Hideaki OgiwaraDivision of Genome Biology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.
Haruhiko MakinoTottori University Hospital Cancer Center, Yonago, Tottori, Japan.
Yuka KimuraDepartment of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Yuka HirotaDepartment of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.
Mayu IsonoGunma University Heavy Ion Medical Center, Maebashi, Gunma, Japan.
Yukari YoshidaGunma University Heavy Ion Medical Center, Maebashi, Gunma, Japan.
Tatsuya OhnoGunma University Heavy Ion Medical Center, Maebashi, Gunma, Japan.
Takashi KohnoDivision of Genome Biology, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.
Takashi NakanoDepartment of Radiation Oncology, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan.

Funding

Role of EGFR in DNA Repair and Radiation Response in Non Small Cell Lung CancerR01CA129364 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI NIRODI, CHAITANYA SURESH · 2008 to 2012
$1.3M
NCI NIH HHS CA 129364NCI NIH HHS R01 CA129364
6 · The paper itself

Abstract

Carbon-ion radiotherapy (CIRT) holds promise to treat inoperable locally-advanced non-small cell lung carcinoma (NSCLC), a disease poorly controlled by standard chemoradiotherapy using X-rays. Since CIRT is an extremely limited medical resource, selection of NSCLC patients likely to benefit from it is important; however, biological predictors of response to CIRT are ill-defined. The present study investigated the association between the mutational status of EGFR and KRAS, driver genes frequently mutated in NSCLC, and the relative biological effectiveness (RBE) of carbon-ion beams over X-rays. The assessment of 15 NSCLC lines of different EGFR/KRAS mutational status and that of isogenic NSCLC lines expressing wild-type or mutant EGFR revealed that EGFR-mutant NSCLC cells, but not KRAS-mutant cells, show low RBE. This was attributable to (i) the high X-ray sensitivity of EGFR-mutant cells, since EGFR mutation is associated with a defect in non-homologous end joining, a major pathway for DNA double-strand break (DSB) repair, and (ii) the strong cell-killing effect of carbon-ion beams due to poor repair of carbon-ion beam-induced DSBs regardless of EGFR mutation status. These data highlight the potential of EGFR mutation status as a predictor of response to CIRT, i.e., CIRT may show a high therapeutic index in EGFR mutation-negative NSCLC.

Indexed as

ErbB ReceptorsMutationCarcinoma, Non-Small-Cell LungCell Line, TumorDNA Breaks, Double-StrandedDNA RepairGene Expression Regulation, NeoplasticHeavy Ion RadiotherapyHumansLung NeoplasmsProto-Oncogene Proteins p21(ras)EGFR protein, humanErbB ReceptorsKRAS protein, humanProto-Oncogene Proteins p21(ras)

Identifiers

PMID26065573
PMCPMC4463964

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.