Cargando…
Computed tomography with segmentation and quantification of individual organs in a D. melanogaster tumor model
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 di...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825794/ https://www.ncbi.nlm.nih.gov/pubmed/35136137 http://dx.doi.org/10.1038/s41598-022-05991-5 |
_version_ | 1784647307151540224 |
---|---|
author | Holland, Petter Quintana, Eduardo Martin Khezri, Rojyar Schoborg, Todd Andrew Rusten, Tor Erik |
author_facet | Holland, Petter Quintana, Eduardo Martin Khezri, Rojyar Schoborg, Todd Andrew Rusten, Tor Erik |
author_sort | Holland, Petter |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8825794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88257942022-02-09 Computed tomography with segmentation and quantification of individual organs in a D. melanogaster tumor model Holland, Petter Quintana, Eduardo Martin Khezri, Rojyar Schoborg, Todd Andrew Rusten, Tor Erik Sci Rep Article 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. Nature Publishing Group UK 2022-02-08 /pmc/articles/PMC8825794/ /pubmed/35136137 http://dx.doi.org/10.1038/s41598-022-05991-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Holland, Petter Quintana, Eduardo Martin Khezri, Rojyar Schoborg, Todd Andrew Rusten, Tor Erik Computed tomography with segmentation and quantification of individual organs in a D. melanogaster tumor model |
title | Computed tomography with segmentation and quantification of individual organs in a D. melanogaster tumor model |
title_full | Computed tomography with segmentation and quantification of individual organs in a D. melanogaster tumor model |
title_fullStr | Computed tomography with segmentation and quantification of individual organs in a D. melanogaster tumor model |
title_full_unstemmed | Computed tomography with segmentation and quantification of individual organs in a D. melanogaster tumor model |
title_short | Computed tomography with segmentation and quantification of individual organs in a D. melanogaster tumor model |
title_sort | computed tomography with segmentation and quantification of individual organs in a d. melanogaster tumor model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825794/ https://www.ncbi.nlm.nih.gov/pubmed/35136137 http://dx.doi.org/10.1038/s41598-022-05991-5 |
work_keys_str_mv | AT hollandpetter computedtomographywithsegmentationandquantificationofindividualorgansinadmelanogastertumormodel AT quintanaeduardomartin computedtomographywithsegmentationandquantificationofindividualorgansinadmelanogastertumormodel AT khezrirojyar computedtomographywithsegmentationandquantificationofindividualorgansinadmelanogastertumormodel AT schoborgtoddandrew computedtomographywithsegmentationandquantificationofindividualorgansinadmelanogastertumormodel AT rustentorerik computedtomographywithsegmentationandquantificationofindividualorgansinadmelanogastertumormodel |