Plasma metabolomics profiling of EGFR-mutant NSCLC patients treated with third-generation EGFR-TKI

Third-generation epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are the latest and a vital treatment option for non-small cell lung cancer (NSCLC) patients. Although EGFR-sensitive mutations are an indication for third-generation EGFR-TKI therapy, 30% of NSCLC patients lack response and all patients inevitably progress. There is a lack of biomarkers to predict the efficacy of EGFR-TKI therapy. In this report, we performed comprehensive plasma metabolomic profiling on 186 baseline and 20 post-treatment samples, analyzing 1,019 metabolites using four ultrahigh performance liquid chromatography-tandem mass spectroscopy (UPLC-MS/MS) methods. The dataset contains detailed clinical and metabolic information for 186 patients. Rigorous quality control measures were implemented. No significant differences in body mass index and biochemical metabolic parameters were observed between responders and non-responders. The datasets were utilized to characterize the responsive metabolic traits of third-generation EGFR-TKI therapy. All datasets are available for download on the OMIX website. We anticipate that these datasets will serve as valuable resources for future studies investigating NSCLC metabolism and for the development of personalized therapeutic strategies.

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Publication Details

Journal
Scientific Data
Published
2024-12-18
DOI
https://doi.org/10.1038/s41597-024-04169-0
Citations
3
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
1.26

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article

Plasma metabolomics profiling of EGFR-mutant NSCLC patients treated with third-generation EGFR-TKI

Ruyun Gao, Yuankai Shi, Xiaohong Han, Ning Lou
3 citations
Scientific Data
Lung Cancer Treatments and Mutations
1.26
article

Plasma metabolomics profiling of EGFR-mutant NSCLC patients treated with third-generation EGFR-TKI

Ruyun Gao, Yuankai Shi, Xiaohong Han, Ning Lou
article en
3 citations

Abstract

Third-generation epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are the latest and a vital treatment option for non-small cell lung cancer (NSCLC) patients. Although EGFR-sensitive mutations are an indication for third-generation EGFR-TKI therapy, 30% of NSCLC patients lack response and all patients inevitably progress. There is a lack of biomarkers to predict the efficacy of EGFR-TKI therapy. In this report, we performed comprehensive plasma metabolomic profiling on 186 baseline and 20 post-treatment samples, analyzing 1,019 metabolites using four ultrahigh performance liquid chromatography-tandem mass spectroscopy (UPLC-MS/MS) methods. The dataset contains detailed clinical and metabolic information for 186 patients. Rigorous quality control measures were implemented. No significant differences in body mass index and biochemical metabolic parameters were observed between responders and non-responders. The datasets were utilized to characterize the responsive metabolic traits of third-generation EGFR-TKI therapy. All datasets are available for download on the OMIX website. We anticipate that these datasets will serve as valuable resources for future studies investigating NSCLC metabolism and for the development of personalized therapeutic strategies.

Scientific DataVol. 11(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), National Clinical Research (US), Xiyuan Hospital (CN), Beijing Chaoyang Emergency Medical Center (CN)
National Natural Science Foundation of China, Chinese Academy of Medical Sciences
Openalex Percentile: Top 18%
Lung Cancer Treatments and Mutations
1.26
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