Evidence map›Paper›PMID 31043566›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Molecular dynamics simulation-guided drug sensitivity prediction for lung cancer with rare

Shinnosuke Ikemura, Hiroyuki Yasuda, Shingo Matsumoto, Mayumi Kamada, Junko Hamamoto, Keita Masuzawa, Keigo Kobayashi, Tadashi Manabe, Daisuke Arai, Ichiro Nakachi and 18 more

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. A comprehensive clinical trajectory ofTranslational lung cancer research · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. [EGFR Exon 20 Insertion Mutation: Research Status and New Treatment Strategies].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Discovery of mobocertinib, a new irreversible tyrosine kinase inhibitor indicated for the treatment of non-small-cell lung cancer harboring EGFR exon 20 insertion mutations.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. Identification of Novel Alectinib-ResistantOncoTargets and therapy · 2021
    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

28 authors at 6 institutions in 2 countries.

Shinnosuke IkemuraDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan.
Hiroyuki YasudaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan; hiroyukiyasuda@a8.keio.jp ktsuchih@east.ncc.go.jp.
Shingo MatsumotoDepartment of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, 277-8577 Chiba, Japan.
Mayumi KamadaGraduate School of Medicine, Kyoto University, Shogoin Sakyo-ku, 606-8507 Kyoto, Japan.
Junko HamamotoDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan.
Keita MasuzawaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan.
Keigo KobayashiDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan.
Tadashi ManabeDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan.
Daisuke AraiDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan.
Ichiro NakachiDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan.
Ichiro KawadaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan.
Kota IshiokaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan.
Morio NakamuraTokyo Saiseikai Central Hospital, Minato-ku, 108-0073 Tokyo, Japan.
Ho NamkoongDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan.
Katsuhiko NaokiKeio Cancer Center, Keio University School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan.
Fumie OnoGraduate School of Medicine, Kyoto University, Shogoin Sakyo-ku, 606-8507 Kyoto, Japan.
Mitsugu ArakiGraduate School of Medicine, Kyoto University, Shogoin Sakyo-ku, 606-8507 Kyoto, Japan.
Ryo KanadaCompass to Healthy Life Research Complex Program, RIKEN, Kobe, 650-0047 Hyogo, Japan.
Biao MaResearch and Development Group for In Silico Drug Discovery, Pro-Cluster Kobe, Foundation for Biomedical Research and Innovation, Kobe, 650-0047 Hyogo, Japan.
Yuichiro HayashiDepartment of Pathology, Keio University School of Medicine, 160-8582 Tokyo, Japan.
Sachiyo MimakiDivision of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, 277-8577 Chiba, Japan.
Kiyotaka YohDepartment of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, 277-8577 Chiba, Japan.
Susumu S KobayashiDivision of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, 277-8577 Chiba, Japan.
Takashi KohnoDivision of Genome Biology, National Cancer Center Research Institute, 104-0045 Tokyo, Japan.
Yasushi OkunoGraduate School of Medicine, Kyoto University, Shogoin Sakyo-ku, 606-8507 Kyoto, Japan.
Koichi GotoDepartment of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, 277-8577 Chiba, Japan.
Katsuya TsuchiharaDivision of Translational Informatics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, 277-8577 Chiba, Japan; hiroyukiyasuda@a8.keio.jp ktsuchih@east.ncc.go.jp.
Kenzo SoejimaDivision of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Shinjuku-ku, 160-8582 Tokyo, Japan.
Keio University · JPChiba Cancer Center · JPKyoto University · JPNational Cancer Center Hospital East · JPSaiseikai Central Hospital · JPFoundation for Biomedical Research and Innovation · JP

Funding

Overcoming resistance to tyrosine kinase inhibitors in lung cancerR01CA169259 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI KOBAYASHI, SUSUMU · 2013 to 2018
$1.8M
NCI NIH HHS R01 CA169259
6 · The paper itself

Abstract

Next generation sequencing (NGS)-based tumor profiling identified an overwhelming number of uncharacterized somatic mutations, also known as variants of unknown significance (VUS). The therapeutic significance of

Indexed as

Genes, erbB-1AcrylamidesAdenocarcinomaAniline CompoundsCarcinoma, Non-Small-Cell LungHumansIndolesLung NeoplasmsMiddle AgedMolecular Dynamics SimulationMutationPharmacogenomic TestingProspective StudiesProtein-Tyrosine KinasesPyrimidinesAcrylamidesAniline CompoundsIndolesosimertinibProtein-Tyrosine KinasesPyrimidinesin silico prediction modelmutation diversitynonsmall cell lung cancerosimertinibrare EGFR mutation

Identifiers

PMID31043566
PMCPMC6525482
OpenAlexW2942945599

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.