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.
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Publiceringsår

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

Licens

Creative Commons Attribution 4.0 International (CC BY 4.0)

Nyckelord

Cancers, Otorhinolaryngology ophthalmology

Ämnesord

Temporal täckning

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