Computed tomography with segmentation and quantification of individual organs in a D. melanogaster tumor model.
Computed tomography with segmentation and quantification of individual organs in a D. melanogaster tumor model.
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DOI：
10.1038/s41598-022-05991-5
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发表时间：
2022-02-08
影响因子：
4.6
通讯作者：
Rusten TE
中科院分区：
文献类型：
--
作者：
Holland P;Quintana EM;Khezri R;Schoborg TA;Rusten TE
果蝇黑腹果蝇肿瘤模型越来越受欢迎，这是由于对人类的高度遗传和功能保护。测量肿瘤对人类癌症患者远处器官影响的最常见方法是使用计算机断层扫描(CT)，通常用于诊断恶病质，这是一种由癌症引起的衰弱综合征，其最明显的特征是肌肉质量的丧失。最近报道了高分辨率显微CT扫描的成功应用，我们在此介绍了在肿瘤发展的几个阶段对所有可见的幼虫器官进行分割。我们之前显示了随着肿瘤的发展肌肉质量的强烈预期减少，我们在这里报告了肠道和马氏管(肾脏)体积也有令人惊讶的强烈减少。肿瘤发展的时间点与恶病质器官体积损失的相关性比肿瘤体积更强，这支持了先前提出的肿瘤大小不直接决定恶病质程度的观点。
Drosophila melanogaster tumor models are growing in popularity, driven by the high degree of genetic as well as functional conservation to humans. The most common method to measure the effects of a tumor on distant organs of a human cancer patient is to use computed tomography (CT), often used in diagnosing cachexia, a debilitating cancer-induced syndrome most visibly characterized by loss of muscle mass. Successful application of high resolution micro-CT scanning of D. melanogaster was recently reported and we here present the segmentation of all visible larval organs at several stages of tumor development. We previously showed the strong expected reduction in muscle mass as the tumor develops, and we here report a surprisingly strong reduction also in gut and Malpighian tubules (kidney) volume. Time-point of tumor development was found to have a stronger correlation to cachectic organ volume loss than tumor volume, giving support to the previously proposed idea that tumor size does not directly determine degree of cachexia.
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DOI：
10.1016/j.bbadis.2011.08.010
发表时间：
2011-12
期刊：
Biochimica et biophysica acta
影响因子：
--
作者：
Puppa MJ;White JP;Sato S;Cairns M;Baynes JW;Carson JA
通讯作者：
Carson JA
DOI：
10.1016/j.lungcan.2009.06.020
发表时间：
2010-05
期刊：
Lung cancer (Amsterdam, Netherlands)
影响因子：
--
作者：
Jatoi A;Ritter HL;Dueck A;Nguyen PL;Nikcevich DA;Luyun RF;Mattar BI;Loprinzi CL
通讯作者：
Loprinzi CL
影响因子：
16.6
作者：
Newton, Holly;Wang, Yi-Fang;Hirabayashi, Susumu
通讯作者：
Hirabayashi, Susumu
影响因子：
11.8
作者：
Figueroa-Clarevega, Alejandra;Bilder, David
通讯作者：
Bilder, David
影响因子：
6.4
作者：
Asp, Michelle L.;Tian, Min;Belury, Martha A.
通讯作者：
Belury, Martha A.