Dataset Information

[Identification of Candidate Biomarkers for EGFR-T790M Drug-resistant ?Gene Mutation in Advanced Lung Adenocarcinoma].

ABSTRACT:

Background

Osimertinib is approved by Food and Drug Administration for patients with advanced non-small cell lung cancer carrying EGFR-T790M mutations. Osimertinib therapy was missed in many patients who were unable to perform biopsy due to occult lesion progression or weak body. In this study. We hope that some proteins associated with predicting EGFR-T790M resistance could be screened from the serum to provide help for clinical medication. The aim of this study is to explore the protein associated with EGFR-T790M drug resistance gene and provide help for clinical medication.

Methods

In this study, 36 patients with advanced lung adenocarcinoma treated by gefitinib were included. After the disease progression of the patients, biopsy was performed. 18 patients in the EGFR-T790M mutation group and 18 patients in the non-EGFR-T790M mutation group were detected by the ARMS method. Serum of patients with drug resistance was collected, and proteins related to EGFR-T790M resistance were screened by isotopic marker relative and absolute quantitative marker combined with two-dimensional liquid chromatography tandem mass spectrometry proteomics technology.

Results

Seventeen different proteins were screened out, including 6 up-regulated proteins and 11 down-regulated proteins associated with EGFR-T790M gene mutation, which were mainly involved in 31 biological processes, 7 cell components and 26 molecular functions. Twelve enrichment pathways were identified, among which the highest enrichment index was the coagulation cascade pathway.

Conclusions

Seventeen proteins associated with EGFR-T790M resistance were found, and proteins involved in the coagulation cascade pathway are expected to be biomarkers associated with predicting EGFR-T790M resistance mutations.

SUBMITTER: Chen L

PROVIDER: S-EPMC7679218 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Publications

[Identification of Candidate Biomarkers for EGFR-T790M Drug-resistant  Gene Mutation in Advanced Lung Adenocarcinoma].

Chen Lijuan L Shan Li L Yu Tingting T

Zhongguo fei ai za zhi = Chinese journal of lung cancer 20201101 11

<h4>Background</h4>Osimertinib is approved by Food and Drug Administration for patients with advanced non-small cell lung cancer carrying EGFR-T790M mutations. Osimertinib therapy was missed in many patients who were unable to perform biopsy due to occult lesion progression or weak body. In this study. We hope that some proteins associated with predicting EGFR-T790M resistance could be screened from the serum to provide help for clinical medication. The aim of this study is to explore the protei ...[more]

PMID: 33203197

Similar Datasets

Project description:ObjectiveTo explore the potential of CT radiomics in detecting acquired T790M mutation and predicting prognosis in patients with advanced lung adenocarcinoma with progression after first- or second-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) therapy.Materials and methodsContrast-enhanced thoracic CT was collected from 250 lung adenocarcinoma patients (with acquired T790M mutation, n = 146, without mutation, n = 104) after progression on first- or second-generation TKIs. Radiomic features were extracted from each volume of interest. The maximum relevance minimum redundancy and the least absolute shrinkage and selection operator (LASSO) regression method were used to select the optimized features in detecting acquired T790M mutation. Univariate Cox regression and LASSO Cox regression were used to establish the radiomics model to predict the progression-free survival of osimertinib treatment. Finally, nomograms (which) combined clinical factors with radscore to predict the acquired T790M mutation and prognosis were built separately. In addition, the two nomograms were validated by the concordance index (C-index), decision curve analysis (DCA), and calibration curve analysis where appropriate.ResultsClinical factors including the progression-free survival of first-line EGFR TKIs, EGFR mutation, and N stage and 12 radiomic features were useful in predicting the acquired T790M mutation. The area under the receiver operating characteristic curves (AUC) of clinical, radiomics, and nomogram models were 0.70, 0.74, and 0.78 in the training set and 0.71, 0.71, and 0.76 in the validation set, respectively. The DCA and calibration curve analysis demonstrated a good performance of the nomogram model. Clinical factors including age and first-generation EGFR TKIs and 12 radiomic features were useful in patients' outcome prediction. The C-index of the combined nomogram was 0.686 in the training set and 0.630 in the validation set, respectively. Calibration curves demonstrated a relatively poor performance of the nomogram model.ConclusionNomogram combined clinical factors with radiomic features might be helpful to detect whether patients developed acquired T790M mutation or not after progression on first- or second-generation EGFR TKIs. Nomogram prognostic model combined clinical factors with radiomic features might have a limited value in predicting the survival of patients harboring acquired T790M mutation treated with osimertinib.

Dataset Information

[Identification of Candidate Biomarkers for EGFR-T790M Drug-resistant ?Gene Mutation in Advanced Lung Adenocarcinoma].

Background

Methods

Results

Conclusions

Publications

[Identification of Candidate Biomarkers for EGFR-T790M Drug-resistant  Gene Mutation in Advanced Lung Adenocarcinoma].

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

[Identification of Candidate Biomarkers for EGFR-T790M Drug-resistant ?Gene Mutation in Advanced Lung Adenocarcinoma].

Background

Methods

Results

Conclusions

Publications

[Identification of Candidate Biomarkers for EGFR-T790M Drug-resistant Gene Mutation in Advanced Lung Adenocarcinoma].

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

[Identification of Candidate Biomarkers for EGFR-T790M Drug-resistant  Gene Mutation in Advanced Lung Adenocarcinoma].