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Biology

Systemic anti-tumour effects of local thermally sensitive liposome therapy

, , , , , , , , & show all
Pages 385-392 | Received 03 Oct 2013, Accepted 09 Jul 2014, Published online: 28 Aug 2014
 

Abstract

Purpose: There were two primary objectives of this study: (1) to determine whether treatment of a tumour site with systemically administered thermally sensitive liposomes and local hyperthermia (HT) for triggered release would have dual anti-tumour effect on the primary heated tumour as well as an unheated secondary tumour in a distant site, and (2) to determine the ability of non-invasive optical spectroscopy to predict treatment outcome. The optical end points studied included drug levels, metabolic markers flavin adenine dinucleotide (FAD), nicotinamide adenine dinucleotide phosphate (NAD(P)H), and physiological markers (total haemoglobin (Hb) and Hb oxygen saturation) before and after treatment.

Materials and methods: Mice were inoculated with SKOV3 human ovarian carcinoma in both hind legs. One tumour was selected for local hyperthermia and subsequent systemic treatment. There were four treatment groups: control, DOXIL® (non-thermally sensitive liposomes containing doxorubicin), and two different thermally sensitive liposome formulations containing doxorubicin. Optical spectroscopy was performed prior to therapy, immediately after treatment, and 6, 12, and 24 h post therapy.

Results: Tumour growth delay was seen with DOXIL and the thermally sensitive liposomes in the tumours that were heated, similar to previous studies. Tumour growth delay was also seen in the opposing tumour in the thermally sensitive liposome-treated groups. Optical spectroscopy demonstrated correlation between growth delay, doxorubicin (DOX) levels, and changes of NAD(P)H from baseline levels. Hb and Hb saturation were not correlated with growth delay.

Discussion: The study demonstrated that thermally sensitive liposomes affect the primary heated tumour as well as systemic efficacy. Non-invasive optical spectroscopy methods were shown to be useful in predicting efficacy at early time points post-treatment.

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