Evidence map›Paper›PMID 28101783›Full record

ArticleClinical and translational medicine2017

Tissue is the issue and tissue competition. Re-biopsy for mutation T790: where and why?

Paul Zarogoulidis, Mina Gaga, Haidong Huang, Kaid Darwiche, Aggeliki Rapti, Wolfgang Hohenforst-Schmidt

Abstract readLetter
In one paragraph

Article in Clinical and translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
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  7. Review
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  10. Comparison of detection methods ofOncoTargets and therapy · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. "Liquid elbows" due to afatinib administration.Respiratory medicine case reports · 2017
    Article
  16. Article
  17. Targeted Lung Cancer Treatments and Eye Metastasis.Medical hypothesis, discovery & innovation ophthalmology journal · 2017
    Review
  18. Article
  19. 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

6 authors.

Paul ZarogoulidisPulmonary Department-Oncology Unit, ``G. Papanikolaou`` General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece. pzarog@hotmail.com.
Mina Gaga7th Respiratory Medicine Department and Asthma Center, Athens Chest Hospital 'Sotiria', Athens, Greece.
Haidong HuangDepartment of Respiratory and Critical Care Medicine, Changhai Hospital/First Affiliated Hospital of the Secondary Military Medical University, Shanghai, China.
Kaid DarwicheDepartment of Interventional Pneumology, Ruhrlandklinik, University Hospital Essen, University of Essen-Duisburg, Essen, Germany.
Aggeliki RaptiSecond Pulmonary Clinic, 'Sotiria' Chest Diseases Hospital, 11527, Athens, Greece.
Wolfgang Hohenforst-SchmidtMedical Clinic I, "Fuerth" Hospital, University of Erlangen, Fuerth, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is still the leading cause of death among all cancers. During the last 15 years, pharmacogenomics of lung cancer have established targeted therapy with tyrosine kinase inhibitors (TKIs) for epidermal growth factor receptor (EGFR) positive patients in adenocarcinoma or mixed adenosquamus lung cancer patients. However; while novel drugs are released in the market, at the same time novel mutations are observed after tyrosine kinase inhibitor administration. Recently the novel mutation T790 was observed and is highly prevalent in patients already treated with a TKI. A new drug targeting this mutation is already on the market, however; the most important factor for successful treatment in these patients, is adequate tissue re-sampling so that novel mutations can be detected.

Indexed as

BiopsyEbusEgfrLung cancert790

Identifiers

PMID28101783
PMCPMC5243233

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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.