Effectiveness of EGFR-tyrosine kinase inhibitors (TKI) versus EGFR-TKIs plus talc pleurodesis in preventing recurrence of malignant pleural effusion (MPE) in advanced lung adenocarcinoma.

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e21684-e21684
Author(s):  
Akash Verma ◽  
Akhil Chopra ◽  
John Abisheganaden
2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 7189-7189
Author(s):  
L. Zhang ◽  
L. Ning ◽  
X. Zhang ◽  
Z. Q. Pan ◽  
X. Wang ◽  
...  

7189 Background: The identification of NSCLC patients who are most likely to respond to EGFR tyrosine kinase inhibitors (TKIs) have been investigated intensively. Although screenings for EGFR mutation and gene copy number are promising, these tests are not yet widely available. New predictor markers are urgently needed. The objective of this study was to identify proteomic markers in plasma to predict benefits for patients treated with EGFR TKIs. Methods: Proteomic spectra derived from plasma samples from EGFR TKIs-responsive patients and non-responsive patients were generated by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS). These proteomic spectra (WCX2 chips, Ciphergen Biosystems, Inc.) were then analyzed by comparing protein profiles in different response groups (PR Vs PD, training set). Another group of patients treaded with EGFR TKIs will be serving as testing set to validate the result of training set. Results: Totally, fifty-four advanced NSCLC patients were included in this study. All patients were treated with single agent of gefitinib or erlotinib. Twenty-nine patients were included in training set of this study. All were suitable for response evaluation. Ten patients (34.5%) were PR, 8 (27.6%) were SD, and 11 (37.9%) were progressive disease (PD). Total six significant protein peaks were significant (m/z 4288, 4595, 9191, 9349, 9397, and 9563) between PR group and PD group (table). Another twenty-five patients were included for testing set. Analyzing of testing set is still going on. Table shows PR and PD patients’ plasma comparison on WCX2 chips. Conclusions: This preliminary “training” set of spectra that uses SELDI-TOF MS technology found that six protein peaks seemed to be very important biomarkers to predict the response to gefitinib. Prospective tests to confirm these proteins and peptides will be present at this meeting. These results are promising for identifying new biomarkers of EGFR TKIs with SELDI. [Table: see text] No significant financial relationships to disclose.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21074-e21074
Author(s):  
Zhongxing Bing ◽  
Weiran Wang ◽  
Danhua Wang ◽  
Tonghui Ma

e21074 Background: Responses to EGFR-targeted therapy are generally temporary, due to inevitable drug resistance. Although RET fusions have been identified in resistant EGFR-mutant non–small cell lung cancer (NSCLC), their characteristics acquired resistance to EGFR tyrosine-kinase inhibitors (TKIs) are rarely investigated. Methods: We retrospectively reviewed next-generation sequencing data of EGFR+ lung cancer patients, and 8 patients were identified coexisting of EGFR mutations and RET fusion. Their treatment history was collected. Results: The co-occurrence of RET fusion with EGFR oncogenic variations was observed in eight patients, and all of the 8 patients have received previous EGFR-TKI treatment. EGFR mutations were including 4 L858R mutations, 4 exon 19 deletions, and 6 T790M mutations. And the partner genes of RET identified by NGS were including TRIM33 (2/8), GPRC6A (1/8), TLN1 (1/8), KIAA1598 (1/8), SPECC1 (1/8), TRIM24 (1/8) and CCDC6 (1/8). The allelic fractions (AFs) of first-generation EGFR-TKI sensitizing mutations were higher than AFs of EGFR T790M mutations as well as AFs of RET fusion. These RET fusions are fused with rare partner genes, rather than the most common KIF5B in lung cancer. Conclusions: This study extended the knowledge of RET fusion as resistance mechanism to EGFR TKIs in lung cancer. The detection of RET fusions may uncover potential resistance mechanisms of EGFR TKIs, which might inform therapeutic strategies, such as combination-therapy approaches.[Table: see text]


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