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Enhanced noninvasive imaging of oncology models using the NIS reporter gene and bioluminescence imaging

机译:使用NIS报告基因和生物发光成像增强了肿瘤学模型的非侵入性成像

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Noninvasive bioluminescence imaging (BLI) of luciferase-expressing tumor cells has advanced pre-clinical evaluation of cancer therapies. Yet despite its successes, BLI is limited by poor spatial resolution and signal penetration, making it unusable for deep tissue or large animal imaging and preventing precise anatomical localization or signal quantification. To refine pre-clinical BLI methods and circumvent these limitations, we compared and ultimately combined BLI with tomographic, quantitative imaging of the sodium iodide symporter (NIS). To this end, we generated tumor cell lines expressing luciferase, NIS, or both reporters, and established tumor models in mice. BLI provided sensitive early detection of tumors and relatively easy monitoring of disease progression. However, spatial resolution was poor, and as the tumors grew, deep thoracic tumor signals were massked by overwhelming surface signals from superficial tumors. In contrast, NIS-expressing tumors were readily distinguished and precisely localized at all tissue depths by positron emission tomography (PET) or single photon emission computed tomography (SPECT) imaging. Furthermore, radiotracer uptake for each tumor could be quantitated noninvasively. Ultimately, combining BLI and NIS imaging represented a significant enhancement over traditional BLI, providing more information about tumor size and location. This combined imaging approach should facilitate comprehensive evaluation of tumor responses to given therapies.
机译:荧光素酶表达肿瘤细胞的非侵入性生物发光成像(BLI)具有癌症疗法的先进预临床临床评价。尽管其成功,BLI受到空间分辨率差和信号渗透的限制,使得深层组织或大型动物成像和防止精确解剖定位或信号量化,这使得它无法使用。为了改善临床前的BLI方法并规避这些限制,我们将BLI与碘化钠交响者(NIS)的断层相比进行比较和最终组合BLI。为此,我们产生表达荧光素酶,NIS或两个记者的肿瘤细胞系,并在小鼠中建立了肿瘤模型。 BLI提供敏感的肿瘤早期检测,并对疾病进展进行相对容易的监测。然而,空间分辨率差,随着肿瘤的增长,通过从浅表肿瘤的压倒性地信号来苛刻胸肿瘤信号。相比之下,通过正电子发射断层扫描(PET)或单光子发射计算机断层扫描(SPECT)成像,容易区分并精确地局限地易于区分并精确地定位。此外,每种肿瘤的放射性机构吸收可以是无侵入性的。最终,组合BLI和NIS成像表示对传统BLI的显着增强,提供有关肿瘤大小和位置的更多信息。这种组合的成像方法应促进对给定疗法的肿瘤反应的综合评价。

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