Evidence map›Paper›PMID 30608413›Full record

ArticleMedicine2019

Successful treatment of a lung adenocarcinoma patient with a novel EGFR exon 20-ins mutation with afatinib: A case report.

Yangyang Cai, Xu Wang, Ye Guo, Chao Sun, Yinghui Xu, Shi Qiu, Kewei Ma

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
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  5. Role of metabolic reprogramming in drug resistance to epidermal growth factor tyrosine kinase inhibitors in non-small cell lung cancer.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021
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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

7 authors at 2 institutions in 1 country.

Yangyang CaiCancer and Stem Cell Center, First Affiliated Hospital, Jilin University, Changchun, Jilin, P.R. China.
Xu Wang
Ye Guo
Chao Sun
Yinghui Xu
Shi Qiu
Kewei Ma
First Hospital of Jilin University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleComprehensive genomic profiling for non-small cell lung cancer (NSCLC) is likely to identify more patients with rare genetic alterations, including uncommon epidermal growth factor receptor (EGFR) gene mutation. PATIENT CONCERNS: A 63-year-old Chinese woman who had never smoked visited our lung cancer clinic due to a chronic cough. DIAGNOSIS: The patient was diagnosed with lung adenocarcinoma by transbronchial lung biopsy. An EGFR mutation (exon 20 insertion H773_V774insH, D770_N771insG, V769_D770insASV, D770_N771insSVD) was detected in the biopsy specimen by quantitative real-time PCR.

interventionsThe patient was treated with osimertinib first, and the progression-free survival (PFS) was 4.4 months. After the disease progressed, the second genetic test of pleural effusion suggesting the EGFR exon 20-ins mutation site changed to A767delinsASVD only. Then the patient was treated with afatinib with informed consent. OUTCOMES: The treatment of afatinib in this patient was successful, PFS was 7.4 months. LESSONS: To our knowledge, EGFR exon 20-ins mutation A767delinsASVD has never been reported, and the successful treatment of afatinib may provide a new therapeutic option for this type of exon 20 insertion mutations.

Indexed as

Adenocarcinoma of LungAfatinibAntineoplastic AgentsErbB ReceptorsExonsFemaleHumansLung NeoplasmsMiddle AgedMutagenesis, InsertionalAfatinibAntineoplastic AgentsEGFR protein, humanErbB Receptors

Identifiers

PMID30608413
PMCPMC6344163
OpenAlexW2907478003

What OpenQuestion holds

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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.