Evidence map›Paper›PMID 39960762›Full record

ReviewAnti-cancer drugs2025

Transformation from acquired EGFR 19del/C797S to EGFR 19del/T790M in an advanced non-small cell lung cancer patient: a case report and literature review.

Xianhuai Jin, Yaping Quan, Jiao Liu, Yong Hu, Hao Li

Abstract readCase ReportsReview
In one paragraph

Review in Anti-cancer drugs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

5 authors.

Xianhuai JinDepartment of Oncology, Guiyang Public Health Clinical Center.
Yaping QuanDepartment of Oncology, Guiyang Public Health Clinical Center.
Jiao LiuDepartment of Oncology, Guiyang Public Health Clinical Center.
Yong HuDepartment of Oncology, Guiyang Public Health Clinical Center.
Hao LiDepartment of Oncology, Guiyang Public Health Clinical Center.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Third-generation epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are the first-line treatment of choice for patients with EGFR-mutant advanced non-small cell lung cancer (NSCLC). However, patients treated with these inhibitors eventually develop resistance. One of the most common mechanisms is the emergence of the EGFR C797S mutation. Whether first-generation EGFR inhibitors (e.g. icotinib or gefitinib) can sustainably control EGFR-sensitive mutations/C797S NSCLC following third-generation EGFR inhibitor treatment remains insufficiently reported. Our case report discusses a female patient with advanced lung adenocarcinoma carrying an EGFR exon 19 E746_A750delELREA mutation who received almonertinib as first-line treatment and developed C797S resistance during therapy. The patient was subsequently treated with a double dose of icotinib for 8 months until disease progression occurred, along with the development of an EGFR exon 20 T790M point mutation and TP53 mutation. This case provides clinical evidence suggesting that first-generation EGFR-TKIs may be an effective treatment strategy for patients with acquired EGFR 19del/C797S resistance following EGFR TKI therapy.

Indexed as

Carcinoma, Non-Small-Cell LungErbB ReceptorsLung NeoplasmsAntineoplastic AgentsCrown EthersDrug Resistance, NeoplasmFemaleHumansMiddle AgedMutationProtein Kinase InhibitorsQuinazolinesAntineoplastic AgentsCrown EthersEGFR protein, humanErbB ReceptorsicotinibProtein Kinase InhibitorsQuinazolinesepidermal growth factor receptornon-small cell lung cancerrepeat biopsytyrosine kinase inhibitor-resistance

Identifiers

PMID39960762
PMCPMC12061377

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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.