Evidence map›Paper›PMID 40479551›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

EGFR-TKIs Induced DPP4 Drives Metabolic Reprogramming of Persister Cells in Lung Cancer.

Yuanzhou Zhang, Xiaojun Zhang, Xupeng Yang, Xingshi Chen, Yuehong Wang, Jingying Hu, Rui Liu, Xiaoying Luo

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. 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. Review
  2. Article
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  5. Review
  6. Article
  7. Article
  8. Review
  9. Cancers · 2026
    Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. EGFR-TKIs Induced DPP4 Drives Metabolic Reprogramming of Persister Cells in Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  18. [Applications and Advances of Metabolomics in Lung Cancer Research].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025
    Review
  19. Review
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

8 authors.

Yuanzhou ZhangState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaojun ZhangState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xupeng YangDepartment of Liver Surgery and Transplantation, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
Xingshi ChenDepartment of Thoracic Surgical Oncology, Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuehong WangState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jingying HuState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Rui LiuState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaoying LuoState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0001-8030-0772

Funding

National Key Research and Development Program 2022YFE0110100
6 · The paper itself

Abstract

Mutations in epidermal growth factor receptor (EGFR) are the key drivers of lung cancer initiation and recurrence. The cancer cells undergo transformation to a reversible drug-tolerant persister (DTP) state prior to the development of resistance against EGFR-tyrosine kinase inhibitors (TKIs). Two DTP lung cancer cells with different proliferative capacities are established and identified dipeptidyl peptidase 4 (DPP4) as a potential therapeutic target. The DTP cells primarily relied on oxidative phosphorylation, which is accompanied by the up-regulation of fatty acid metabolism. Mechanistically, DPP4 facilitates the uptake of fatty acids via carnitine palmitoyl transferase 1a (CPT1A, and enhances fatty acid oxidation. In addition, the DPP4-mitogen-activated protein kinase kinase (MEK)-Nuclear factor erythroid-2-related factor 2 (Nrf2) signaling pathway maintains mitochondrial function by activating the antioxidant pathway. The combination of osimertinib and sitagliptin, a DPP4 inhibitor, not only suppressed tumor progression but also reduced the number of residual tumor cells and minimal residual disease. Notably, this combination therapy significantly lowered recurrence rates and extended the survival of tumor-bearing mice compared to the monotherapies. The study provides new insights into the metabolic adaptations of DTP lung cancer cells in response to EGFR-TKIs, offering novel therapeutic strategies for targeting these persister cells.

Indexed as

Dipeptidyl Peptidase 4Lung NeoplasmsProtein Kinase InhibitorsAcrylamidesAniline CompoundsAnimalsCell Line, TumorDipeptidyl-Peptidase IV InhibitorsDrug Resistance, NeoplasmErbB ReceptorsHumansIndolesMetabolic ReprogrammingMicePyrimidinesSitagliptin PhosphateAcrylamidesAniline CompoundsDipeptidyl Peptidase 4Dipeptidyl-Peptidase IV InhibitorsDPP4 protein, humanEGFR protein, humanErbB ReceptorsIndolesosimertinibProtein Kinase InhibitorsPyrimidinesSitagliptin PhosphateDPP4DTPEGFR‐Tkilung cancerOXPHOS

Identifiers

PMID40479551
PMCPMC12376602

What OpenQuestion holds

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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.