Dynamics of ctDNA may serve as an early predictor of response to nontargeted chemotherapy of advanced lung cancer patients
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26475821%3A_____%2F20%3AN0000002" target="_blank" >RIV/26475821:_____/20:N0000002 - isvavai.cz</a>
Result on the web
<a href="https://clincancerres.aacrjournals.org/content/26/11_Supplement/A30" target="_blank" >https://clincancerres.aacrjournals.org/content/26/11_Supplement/A30</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Dynamics of ctDNA may serve as an early predictor of response to nontargeted chemotherapy of advanced lung cancer patients
Original language description
Poster at AACR, Miami, CLINICAL CANCER RESEARCH Meeting Abstract: A30 Volume: 26 Issue: 11 Pages: 50-50 Supplement: S Published: JUN 2020, WOS:000537848000063: Liquid biopsy methodology has long been utilized in management of patients with advanced lung cancer. The approach found its use in testing for a presence of somatic mutations of EGFR gene in circulating tumor DNA (ctDNA) to predict antiEGFR therapy response or resistance. More recently, ctDNA is being used as a biomarker for monitoring of the residual disease and early detection of progression or recurrence. The key factor in this case is in quantitative determination of the circulating mutant levels. In our project we have focused on non-small cell (NSCLC) patients receiving chemotherapy. We have first determined a presence of a nontargetable mutation in tumor tissue. Then we have searched for that specific mutation in plasma samples acquired prior and during the chemotherapy. The purpose of the study was to determine utility of ctDNA for evaluation of the disease course. Our data indicate utility of ctDNA in prediction of therapy outcome in NSCLC patients receiving nontargeted chemotherapy. When independently validated, ctDNA could be used to assess efficiency even during the first chemotherapy cycle.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
30204 - Oncology
Result continuities
Project
<a href="/en/project/NV17-30748A" target="_blank" >NV17-30748A: A new approach by combination of functional imaging and tumor genomics for non-invasive phenotyping and monitoring of therapy of lung carcinomas</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů