본문으로 건너뛰기
← 뒤로

Multiomics and Single-Cell Insights Reveal a Lysophosphatidic Acid-Mediated Resistant Mechanism to Third-generation EGFR-TKI in Non-Small Cell Lung Cancer.

1/5 보강
Clinical cancer research : an official journal of the American Association for Cancer Research 📖 저널 OA 54.1% 2022: 3/4 OA 2023: 6/8 OA 2024: 8/14 OA 2025: 57/92 OA 2026: 81/165 OA 2022~2026 2025 Vol.31(22) p. 4814-4831
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
186 patients with NSCLC enrolled in the clinical trial of rezivertinib (NCT03386955).
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Targeting LPA production or its downstream pathways may offer novel therapeutic strategies to overcome resistance. This study provides critical metabolic insights for managing EGFR-mutant NSCLC.

Gao R, Lou N, Yang S, Yang M, Fan G, Dai L

📝 환자 설명용 한 줄

[PURPOSE] Third-generation EGFR tyrosine kinase inhibitors (TKI) have revolutionized the treatment of EGFR-mutant non-small cell lung cancer (NSCLC).

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value P = 0.022

이 논문을 인용하기

↓ .bib ↓ .ris
APA Gao R, Lou N, et al. (2025). Multiomics and Single-Cell Insights Reveal a Lysophosphatidic Acid-Mediated Resistant Mechanism to Third-generation EGFR-TKI in Non-Small Cell Lung Cancer.. Clinical cancer research : an official journal of the American Association for Cancer Research, 31(22), 4814-4831. https://doi.org/10.1158/1078-0432.CCR-25-0993
MLA Gao R, et al.. "Multiomics and Single-Cell Insights Reveal a Lysophosphatidic Acid-Mediated Resistant Mechanism to Third-generation EGFR-TKI in Non-Small Cell Lung Cancer.." Clinical cancer research : an official journal of the American Association for Cancer Research, vol. 31, no. 22, 2025, pp. 4814-4831.
PMID 40853904 ↗

Abstract

[PURPOSE] Third-generation EGFR tyrosine kinase inhibitors (TKI) have revolutionized the treatment of EGFR-mutant non-small cell lung cancer (NSCLC). However, acquired resistance remains a significant challenge. This study investigates the metabolic mechanisms driving third-generation EGFR-TKI resistance.

[EXPERIMENTAL DESIGN] We conducted plasma metabolomics analysis on 216 longitudinal samples from 186 patients with NSCLC enrolled in the clinical trial of rezivertinib (NCT03386955). Additionally, multiomics profiling of rezivertinib-resistant cell lines, functional in vitro experiments, and single-cell RNA sequencing analyses of 215 patients with NSCLC were integrated to reveal underlying mechanisms.

[RESULTS] Nonresponder patients exhibited elevated glycerophospholipids and dysregulated lysophospholipid (LPL) metabolism. Unsupervised clustering identified two patient subgroups, with cluster 1 (characterized by high LPL levels) associated with poorer survival (P = 0.022). A metabolite-based predictive model achieved robust performance [AUC: 0.7762 (training) and 0.7485 (test)]. Longitudinal analyses demonstrated LPLs and lysophosphatidic acid (LPA) accumulation during the resistance process. Integrated multiomics analyses highlighted epithelial-mesenchymal transition and glycerophospholipid reprogramming in rezivertinib-resistant cells. Functional assays confirmed that LPA promoted cell migration and invasion and attenuated the efficacy of third-generation EGFR-TKI, whereas disruption of the LPA-LPA receptor signaling axis reversed LPA-mediated resistance. Single-cell RNA sequencing identified an LPA-secreting malignant subset (cluster c4), characterized by enhanced epithelial-mesenchymal transition activation and extensive microenvironmental cross-talk through Wnt, TGF-β, and extracellular matrix signals.

[CONCLUSIONS] Our study highlights the pivotal role of LPA-mediated signaling and metabolic reprogramming in third-generation EGFR-TKI resistance. Targeting LPA production or its downstream pathways may offer novel therapeutic strategies to overcome resistance. This study provides critical metabolic insights for managing EGFR-mutant NSCLC.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

같은 제1저자의 인용 많은 논문 (5)

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반