PCR-based zebrafish model for personalised medicine in head and neck cancer
Beskrivning
Abstract Background Currently, in vivo model for personalised cancer drug testing is challenging. A zebrafish larvae xenograft model has been applied in recent years to cancer research, particularly for drug testing purposes, showing promising results in drug testing against patient-derived tumour xenografts. Currently, these xenograft models apply imaging techniques to measure drug efficacy. However, this method carries several limitations, including timely imaging, thereby reducing the available number of tested fish and drugs. Here, we propose a PCR-based fast assay to evaluate drug efficacy in a zebrafish larvae xenograft model. Methods We tested two primary and corresponding metastatic head and neck squamous cell carcinoma (HNSCC) cell lines and patient-derived tongue cancer sample applying zebrafish larvae xenograft model. Cisplatin efficacy was tested using imaging technique and compared the results with PCR-based methods. Drug screening of eight compounds was applied on both cell lines and patient sample using PCR. Results In a head-to-head comparison, all the three techniques (imaging, quantitative PCR, and droplet digital PCR) showed similar reduction of the cancer cells growth after cisplatin treatment. Using the quantitative PCR assay, we demonstrated a dose-dependent response of HNSCC cells to cisplatin. Drug screening results of four HNSCC cell lines and patient sample revealed different drug efficacy between tested cancer cells. Conclusion We introduce a novel, easy, fast and cost-effective PCR-based in vivo zebrafish larvae assay to test the response of cell lines and clinical tumour samples to anti-cancer drugs. This method goes hand-by-hand with the commonly used imaging assay.
Visa merPubliceringsår
2019
Typ av data
Upphovspersoner
Mataleena Parikka - Medarbetare
Unknown organization
Abdelhakim Salem - Medarbetare
Aini Hyytiäinen - Medarbetare
Anne Kivimäki - Medarbetare
Antti Mäkitie - Medarbetare
Karri Mesimäki - Medarbetare
Sakhr Al-Kubati - Medarbetare
Ahmed Al-Samadi - Upphovsperson
Katja Tuomainen - Upphovsperson
Reidar Grenman - Upphovsperson
Tommy Wilkman - Upphovsperson
Tuula Salo - Upphovsperson
figshare - Utgivare
Projekt
Övriga uppgifter
Vetenskapsområden
Cancersjukdomar; Öron-, näs- och halssjukdomar, ögonsjukdomar
Språk
engelska
Öppen tillgång
Öppet