Evidence map›Paper›PMID 33430803›Full record

ArticleBMC cancer2021

Comparison of epidermal growth factor receptor tyrosine kinase inhibitors for patients with lung adenocarcinoma harboring different epidermal growth factor receptor mutation types.

Sojung Park, Sung Yong Lee, Dojin Kim, Yun Su Sim, Jeong-Seon Ryu, Juwhan Choi, Su Hwan Lee, Yon Ju Ryu, Jin Hwa Lee, Jung Hyun Chang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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  3. Liquid biopsy techniques and lung cancer: diagnosis, monitoring and evaluation.Journal of experimental & clinical cancer research : CR · 2024
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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

10 authors at 5 institutions in 1 country.

Sojung ParkDivision of Pulmonary and Critical Care Medicine, College of Medicine, Ewha Womans University, 1071 Anyangcheon-Ro, Yangcheon-gu, Seoul, 07985, Republic of Korea.
Sung Yong LeeDivision of Respiratory, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Dojin KimDivision of Allergy and Respiratory Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Gyeonggi, Republic of Korea.
Yun Su SimDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, Seoul, Republic of Korea.
Jeong-Seon RyuDepartment of Internal Medicine, Inha University College of Medicine, Incheon, Republic of Korea.
Juwhan ChoiDivision of Respiratory, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
Su Hwan LeeDivision of Pulmonary and Critical Care Medicine, College of Medicine, Ewha Womans University, 1071 Anyangcheon-Ro, Yangcheon-gu, Seoul, 07985, Republic of Korea.
Yon Ju RyuDivision of Pulmonary and Critical Care Medicine, College of Medicine, Ewha Womans University, 1071 Anyangcheon-Ro, Yangcheon-gu, Seoul, 07985, Republic of Korea.
Jin Hwa LeeDivision of Pulmonary and Critical Care Medicine, College of Medicine, Ewha Womans University, 1071 Anyangcheon-Ro, Yangcheon-gu, Seoul, 07985, Republic of Korea.
Jung Hyun ChangDivision of Pulmonary and Critical Care Medicine, College of Medicine, Ewha Womans University, 1071 Anyangcheon-Ro, Yangcheon-gu, Seoul, 07985, Republic of Korea. hs1017@ewha.ac.kr.
Ewha Womans University Medical Center · KRKorea University Medical Center · KRHallym University Kangnam Sacred Heart Hospital · KRInha University · KRSoonchunhyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidermal growth factor receptor (EGFR) mutations in non-small-cell lung cancer predict sensitivity to EGFR tyrosine kinase inhibitors (TKIs). EGFR mutation types are associated with efficacy of EGFR TKIs. We investigated the clinical outcomes of afatinib, erlotinib, and gefitinib according to EGFR mutation type in patients with lung adenocarcinoma.

methodsBetween May 2010 and December 2018, we investigated 363 patients with advanced lung adenocarcinoma harboring EGFR mutations who received EGFR TKIs. Efficacies of EGFR TKIs such as response rate, progression-free survival (PFS), and overall survival (OS) were retrospectively evaluated according to exon 19 deletion (E19del), L858R point mutation (L858R) and uncommon mutations.

resultsThe frequency of E19del was 48.2%, that of L858R was 42.4%, and that of uncommon mutations was 9.4%. E19del and L858R were associated with superior PFS and OS compared with uncommon mutations. Erlotinib showed significantly inferior OS than other TKIs (30.8 ± 3.3 in erlotinib vs. 39.1 ± 4.3 in afatinib vs. 48.4 ± 6.3 in gefitinib; p = 0.031) in patients with L858R. Gefitinib showed significantly inferior PFS (4.6 ± 1.1 in gefitinib vs. 11.6 ± 2.7 in afatinib vs. 10.6 ± 2.7 in erlotinib; p = 0.049) in patients with uncommon mutations.

conclusionAfatinib was significantly associated with a longer PFS, presenting constant effectiveness in all EGFR mutation types. Caution may be needed on the use of erlotinib for L858R and the use of gefitinib for uncommon EGFR mutations.

Indexed as

MutationAdenocarcinoma of LungAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungErbB ReceptorsFemaleFollow-Up StudiesHumansLung NeoplasmsMalePrognosisProtein Kinase InhibitorsRetrospective StudiesSurvival RateBiomarkers, TumorEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsAdenocarcinomaEpidermal growth factor receptorNon-small cell lung cancerSurvivalTyrosine kinase inhibitor

Identifiers

PMID33430803
PMCPMC7802134
OpenAlexW3116904592

What OpenQuestion holds

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LicenceCC BY
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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.