Evidence map›Paper›PMID 41399957›Full record

ArticleCancer medicine2025

Third-Generation EGFR-TKIs in T790M-Negative NSCLC After First/Second-Generation EGFR-TKI Failure: A Retrospective Study.

Zhen Cheng, Jiali Dong, Huihao Lu, Chuhong Huang, Shujun Li, Yanming Lin, Yuting Chen, Yongcun Wang, Yanli Mo, Zhixiong Yang and 1 more

Abstract read
In one paragraph

Article in Cancer medicine, 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. AcquiredCurrent oncology (Toronto, Ont.) · 2026
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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

11 authors.

Zhen ChengDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.ORCID https://orcid.org/0000-0003-4050-4417
Jiali DongDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.ORCID https://orcid.org/0009-0003-8061-9750
Huihao LuDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Chuhong HuangDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Shujun LiDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Yanming LinDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Yuting ChenDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Yongcun WangDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Yanli MoDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.ORCID https://orcid.org/0000-0002-7732-0913
Zhixiong YangDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Wenmei SuDepartment of Oncology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.

Funding

Clinical Research Program of the Affiliated Hospital of Guangdong Medical University GDMULCJC2025065National Natural Science Foundation of China 82073388Natural Science Foundation of Guangdong Province 2023A1515110995
6 · The paper itself

Abstract

purposeIn non-small cell lung cancer (NSCLC) patients resistant to first- or second-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKI), only half develop the T790M mutation and thus qualify for the treatment using third-generation EGFR-TKIs. For T790M-negative patients, chemotherapy is the recommended second-line treatment. We compared the efficacy between third-generation EGFR-TKIs and chemotherapy with or without first/second-generation EGFR-TKIs in T790M-negative patients. PATIENTS: This study included T790M-negative patients with EGFR-mutated advanced NSCLC and progressing after first-line treatment with first- or second-generation EGFR-TKIs. Data on clinical characteristics, disease features, and survival were collected, including general conditions, medical history, imaging, histology, and molecular profiling.

resultsOf 82 patients progressing after first- or second-generation EGFR-TKIs without acquiring T790M, 45 received third-generation EGFR-TKIs and 37 received chemotherapy and/or first/second-generation EGFR-TKIs. We found that third-generation EGFR-TKIs led to significantly longer median progression-free survival (mPFS) than other treatments [10.20 months vs. 5.70 months, p = 0.017]. Subgroup analyses indicated that third-generation EGFR-TKIs had similar mPFS to the chemotherapy group but were significantly superior to first/second-generation EGFR-TKIs with or without chemotherapy (10.20 months vs. 4.80 months, p < 0.001; 10.20 months vs. 3.30 months, p = 0.004). The median overall survival (mOS) for patients treated with third-generation EGFR-TKIs and with non-third-generation therapy was 39.80 months (95% CI 23.14 to 56.46) and 32.40 months (95% CI 18.71 to 46.09), p = 0.408, respectively.

conclusionsThird-generation EGFR-TKIs significantly improved mPFS in T790M-negative patients with EGFR-mutated advanced NSCLC and resistant to first-line treatment with first- or second-generation EGFR-TKIs.

trial registrationChiCTR2500096109.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, Non-Small-Cell LungLung NeoplasmsProtein Kinase InhibitorsAdultAgedAged, 80 and overDrug Resistance, NeoplasmErbB ReceptorsFemaleHumansMaleMiddle AgedMutationProgression-Free SurvivalRetrospective StudiesEGFR protein, humanErbB ReceptorsProtein Kinase Inhibitorsepidermal growth factor receptornon‐small cell lung cancerresistanceT790Mtyrosine kinase inhibitor

Identifiers

PMID41399957
PMCPMC12706518

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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.