Name: <meta charset="utf8"></head><body>作者聚焦：用于推进癌症研究和个性化医疗的放射治疗和克隆形成检测
Uploaded: 2024-04-05T14:50:00
Description: Read this Scientific Article Protocol about Live Imaging to Quantify Cellular Radiosensitivity in Patient-Derived Tumor Organoids at JoVE.com

<meta charset="utf8"></head><body>使用克隆形成测定法检测患者来源的肿瘤类器官的放射反应

<ol>
	<li>De Ruysscher, D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Radiotherapy+toxicity.">Radiotherapy toxicity.</a> Nat Rev Dis Primers. 5 (1), 13 (2019).</li><li>Bates, J. E., Sanders, T., Arnone, A., Elmore, S. N. C., Royce, T. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Geographic+density+of+linear+accelerators+and+receipt+of+radiation+therapy+for+prostate+cancer.">Geographic density of linear accelerators and receipt of radiation therapy for prostate cancer.</a> Int J Radiat Oncol Biol Phys. 111, e351-e352 (2021).</li><li>Harmenberg, U., Hamdy, F. C., Widmark, A., Lennern&#228;s, B., Nilsson, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Curative+radiation+therapy+in+prostate+cancer.">Curative radiation therapy in prostate cancer.</a> Acta Oncol. 50, 98-103 (2011).</li><li>Nakano, T., Ohno, T., Ishikawa, H., Suzuki, Y., Takahashi, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Current+advancement+in+radiation+therapy+for+uterine+cervical+cancer.">Current advancement in radiation therapy for uterine cervical cancer.</a> J Radiat Res. 51 (1), 1-8 (2010).</li><li>Spencer, K., Parrish, R., Barton, R., Henry, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Palliative+radiotherapy.">Palliative radiotherapy.</a> BMJ. 360, k821 (2018).</li><li>Price, J. M., Prabhakaran, A., West, C. M. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Predicting+tumour+radiosensitivity+to+deliver+precision+radiotherapy.">Predicting tumour radiosensitivity to deliver precision radiotherapy.</a> Nat Rev Clin Oncol. 20 (2), 83-98 (2023).</li><li>McLaughlin, M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Inflammatory+microenvironment+remodelling+by+tumour+cells+after+radiotherapy.">Inflammatory microenvironment remodelling by tumour cells after radiotherapy.</a> Nat Rev Cancer. 20 (4), 203-217 (2020).</li><li>Rodriguez-Ruiz, M. E., Vitale, I., Harrington, K. J., Melero, I., Galluzzi, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Immunological+impact+of+cell+death+signaling+driven+by+radiation+on+the+tumor+microenvironment.">Immunological impact of cell death signaling driven by radiation on the tumor microenvironment.</a> Nat Immunol. 21 (2), 120-134 (2020).</li><li>Cytlak, U. M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Immunomodulation+by+radiotherapy+in+tumour+control+and+normal+tissue+toxicity.">Immunomodulation by radiotherapy in tumour control and normal tissue toxicity.</a> Nat Rev Immunol. 22 (2), 124-138 (2022).</li><li>Hanahan, D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Hallmarks+of+Cancer:+New+Dimensions.">Hallmarks of Cancer: New Dimensions.</a> Cancer Discov. 12 (1), 31-46 (2022).</li><li>Groelly, F. J., Fawkes, M., Dagg, R. A., Blackford, A. N., Tarsounas, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Targeting+DNA+damage+response+pathways+in+cancer.">Targeting DNA damage response pathways in cancer.</a> Nat Rev Cancer. 23 (2), 78-94 (2023).</li><li>Renaudin, X. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Reactive+oxygen+species+and+DNA+damage+response+in+cancer.">Reactive oxygen species and DNA damage response in cancer.</a> Int Rev Cell Mol Biol. 364, 139-161 (2021).</li><li>Klapp, V., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+DNA+damage+response+and+inflammation+in+cancer.">The DNA damage response and inflammation in cancer.</a> Cancer Discov. 13 (7), 1521-1545 (2023).</li><li>Constanzo, J., Garcia-Prada, C. D., Pouget, J. P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Clonogenic+assay+to+measure+bystander+cytotoxicity+of+targeted+alpha-particle+therapy.">Clonogenic assay to measure bystander cytotoxicity of targeted alpha-particle therapy.</a> Methods Cell Biol. 174, 137-149 (2023).</li><li>Serrano-Mendioroz, I., Garate-Soraluze, E., Rodriguez-Ruiz, M. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+simple+method+to+assess+clonogenic+survival+of+irradiated+cancer+cells.">A simple method to assess clonogenic survival of irradiated cancer cells.</a> Methods Cell Biol. 174, 127-136 (2023).</li><li>Petroni, G., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Radiotherapy+delivered+before+CDK4/6+inhibitors+mediates+superior+therapeutic+effects+in+ER(+)+breast+cancer.">Radiotherapy delivered before CDK4/6 inhibitors mediates superior therapeutic effects in ER(+) breast cancer.</a> Clin Cancer Res. 27 (7), 1855-1863 (2021).</li><li>Alvarez-Abril, B., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Cytofluorometric+assessment+of+acute+cell+death+responses+driven+by+radiation+therapy.">Cytofluorometric assessment of acute cell death responses driven by radiation therapy.</a> Methods Cell Biol. 172, 17-36 (2022).</li><li>Bodey, R. K., Evans, P. M., Flux, G. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Application+of+the+linear-quadratic+model+to+combined+modality+radiotherapy.">Application of the linear-quadratic model to combined modality radiotherapy.</a> Int J Radiat Oncol Biol Phys. 59 (1), 228-241 (2004).</li><li>Unkel, S., Belka, C., Lauber, K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=On+the+analysis+of+clonogenic+survival+data:+Statistical+alternatives+to+the+linear-quadratic+model.">On the analysis of clonogenic survival data: Statistical alternatives to the linear-quadratic model.</a> Radiat Oncol. 11, 11 (2016).</li><li>Zitvogel, L., Pitt, J. M., Daill&#232;re, R., Smyth, M. J., Kroemer, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Mouse+models+in+oncoimmunology.">Mouse models in oncoimmunology.</a> Nat Rev Cancer. 16 (12), 759-773 (2016).</li><li>Buqu&#233;, A., Galluzzi, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Modeling+Tumor+immunology+and+immunotherapy+in+mice.">Modeling Tumor immunology and immunotherapy in mice.</a> Trends Cancer. 4 (9), 599-601 (2018).</li><li>Lee, S. Y., Bissell, M. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+Functionally+robust+phenotypic+screen+that+identifies+drug+resistance-associated+genes+using+3D+cell+culture.">A Functionally robust phenotypic screen that identifies drug resistance-associated genes using 3D cell culture.</a> Bio Protoc. 8 (22), e3083 (2018).</li><li>Mina, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Bissell:+Context+Matters.">Bissell: Context Matters.</a> Trends Cancer. 1 (1), 6-8 (2015).</li><li>Drost, J., Clevers, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Organoids+in+cancer+research.">Organoids in cancer research.</a> Nat Rev Cancer. 18 (7), 407-418 (2018).</li><li>Kim, J., Koo, B. K., Knoblich, J. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Human+organoids:+Model+systems+for+human+biology+and+medicine.">Human organoids: Model systems for human biology and medicine.</a> Nat Rev Mol Cell Biol. 21 (10), 571-584 (2020).</li><li>van Renterghem, A. W. J., van de Haar, J., Voest, E. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Functional+precision+oncology+using+patient-derived+assays:+Bridging+genotype+and+phenotype.">Functional precision oncology using patient-derived assays: Bridging genotype and phenotype.</a> Nat Rev Clin Oncol. 20 (5), 305-317 (2023).</li><li>Vitale, I., Manic, G., De Maria, R., Kroemer, G., Galluzzi, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=DNA+damage+in+stem+cells.">DNA damage in stem cells.</a> Mol Cell. 66 (3), 306-319 (2017).</li><li>Sachs, N., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+Living+biobank+of+breast+cancer+organoids+captures+disease+heterogeneity.">A Living biobank of breast cancer organoids captures disease heterogeneity.</a> Cell. 172 (1-2), 373-386 (2018).</li><li>Zhou, Z., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Harnessing+3D+in+vitro+systems+to+model+immune+responses+to+solid+tumours:+A+step+towards+improving+and+creating+personalized+immunotherapies.">Harnessing 3D in vitro systems to model immune responses to solid tumours: A step towards improving and creating personalized immunotherapies.</a> Nat Rev Immunol. 24, 18-32 (2024).</li></ol>

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>40 &#181;m mesh filter</td>
			<td>Thomas Scientific</td>
			<td>1164H35</td>
			<td></td>
		</tr>
		<tr>
			<td>B27</td>
			<td>Invitrogen</td>
			<td>17504-044</td>
			<td></td>
		</tr>
		<tr>
			<td>Cellometer Auto T4 Bright Field Cell Counter</td>
			<td>Nexcelom</td>
			<td></td>
			<td></td>
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			<td>DMEM F/12</td>
			<td>Corning&#160;</td>
			<td>12634-010</td>
			<td></td>
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			<td>Epidermal Growth Factor hEGF</td>
			<td>Peprotech</td>
			<td>AF-100-15</td>
			<td></td>
		</tr>
		<tr>
			<td>EVOS FL Digital Inverted Fluorescence Microscope&#160;</td>
			<td>Thermo Fisher Scientific</td>
			<td>12-563-460</td>
			<td></td>
		</tr>
		<tr>
			<td>FGF10</td>
			<td>Peprotech</td>
			<td>100-26</td>
			<td></td>
		</tr>
		<tr>
			<td>FGF7</td>
			<td>Peprotech&#160;</td>
			<td>100-19</td>
			<td></td>
		</tr>
		<tr>
			<td>GlutaMax</td>
			<td>Invitrogen&#160;</td>
			<td>35050061</td>
			<td></td>
		</tr>
		<tr>
			<td>Hepes</td>
			<td>Invitrogen&#160;</td>
			<td>15630-080</td>
			<td></td>
		</tr>
		<tr>
			<td>IncuCyte software 2021A</td>
			<td>Sartorius</td>
			<td></td>
			<td>version: 2021A</td>
		</tr>
		<tr>
			<td>Incucyte SX1</td>
			<td>Sartorius</td>
			<td></td>
			<td>model SX1</td>
		</tr>
		<tr>
			<td>Incucyte validated 48 well plate</td>
			<td>Corning&#160;</td>
			<td>3548</td>
			<td></td>
		</tr>
		<tr>
			<td>Matrigel</td>
			<td>Discovery Labware</td>
			<td>354230</td>
			<td></td>
		</tr>
		<tr>
			<td>nAc</td>
			<td>Sigma Aldrich&#160;</td>
			<td>A9165-5G</td>
			<td></td>
		</tr>
		<tr>
			<td>Nicotinamide</td>
			<td>Sigma-Aldrich</td>
			<td>N0636</td>
			<td></td>
		</tr>
		<tr>
			<td>Noggin</td>
			<td></td>
			<td></td>
			<td>Purchased from the Englander Institute for Precision Medicine, Weill Cornell, NY, USA</td>
		</tr>
		<tr>
			<td>Non-treated 6 well plate</td>
			<td>Cellstar</td>
			<td>657 185</td>
			<td></td>
		</tr>
		<tr>
			<td>NR (Heregulin)</td>
			<td>Peprotech</td>
			<td>100-03</td>
			<td></td>
		</tr>
		<tr>
			<td>p38 MAP inhibitor p38i SB202190</td>
			<td>Sigma Aldrich&#160;</td>
			<td>S7067</td>
			<td></td>
		</tr>
		<tr>
			<td>PBS</td>
			<td>Corning&#160;</td>
			<td>21-040-CV</td>
			<td></td>
		</tr>
		<tr>
			<td>PenStrep</td>
			<td>Invitrogen</td>
			<td>15140-122</td>
			<td></td>
		</tr>
		<tr>
			<td>Primocin</td>
			<td>Invivogen</td>
			<td>ant-pm-1</td>
			<td></td>
		</tr>
		<tr>
			<td>Rspondin Media</td>
			<td></td>
			<td></td>
			<td>Purchased from the Englander Institute for Precision Medicine, Weill Cornell, NY, USA</td>
		</tr>
		<tr>
			<td>Small Animal Radiation Research Platform (SARRP)&#160;</td>
			<td>Xstrahl Ltd</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>TGFbeta Receptor Inhibitor A83-01</td>
			<td>Tocris</td>
			<td>2939</td>
			<td></td>
		</tr>
		<tr>
			<td>Trypan blue Stain (0.4%)</td>
			<td>Gibco</td>
			<td>15250-61</td>
			<td></td>
		</tr>
		<tr>
			<td>TrypLE</td>
			<td>Gibco</td>
			<td>112605-028</td>
			<td></td>
		</tr>
		<tr>
			<td>Y-27632 (RhoKi)</td>
			<td>Selleck</td>
			<td>S1049</td>
			<td></td>
		</tr>
	</tbody>
</table>

live imaging to quantify cellular radiosensitivity in patient-derived tumor organoids

External beam radiation therapy (RT) is one of the mainstays of modern oncology, reflecting not only a pronounced anticancer activity associated with a well-defined spectrum of generally manageable side effects1, but also an exceptionally widespread clinical availability (most cancer centers in developed countries are equipped with modern linear accelerators for external beam RT)2. In line with this notion, RT is globally employed with success for both curative purposes, generally in the context of early-stage disease3,4, and palliative applications, to contain symptoms (e.g., pain) from metastatic tumors5. That said, not all malignancies are equally sensitive to RT, reflecting a number of cancer cell-intrinsic and microenvironmental features6,7,8,9. As a standalone example, various cancer-associated genetic and epigenetic alterations influencing DNA repair and redox homeostasis have been associated with increased or decreased intrinsic radiosensitivity, largely reflecting the ability of RT to kill cancer cells by causing direct and reactive oxygen species (ROS)-dependent damage to DNA and other macromolecules10,11,12,13.
Over the past decades, clonogenic assays have been routinely employed to assess the radiosensitivity of cultured human and murine cancer cells14,15,16. Indeed, while chemotherapeutics and other stressors often kill malignant cells in a fairly rapid manner, RT employed at clinically relevant doses most often elicit a delayed form of cell death that cannot be simply quantified with short-term flow cytometry- or microscopy-assisted techniques, such as measuring the cellular uptake of vital dyes (which selectively stain dead cells) 24-72 h after exposure to a cytotoxic stimulus17. Besides being straightforward and relying on rather inexpensive reagents, clonogenic assays have been particularly convenient as they allow for the implementation of the so-called &#34;linear quadratic&#34; model, which is a fairly simple mathematical tool for the quantitative analysis of RT dose response18,19. Along similar lines, cultured cancer cells (including established cell lines as well as primary, patient-derived cells) have provided a convenient platform for testing various aspects of cancer biology, including (but not limited to) sensitivity to treatment in a rather straightforward but simplified manner, one major limitation being the absence of a structured tumor microenvironment (TME)20,21. Indeed, two-dimensional cancer cell cultures are intrinsically unable to recapitulate cell-cell communications and interactions with the extracellular matrix and as they occur in cancer22,23. Patient-derived tumor organoids (PDTOs) have emerged as tumor models that at least in part circumvent such limitation24,25,26.
Unfortunately, conventional clonogenic assays cannot be employed to assess the radiosensitivity of PDTOs. On the one hand, irradiating established PDTOs may not necessarily compromise their growth as a multicellular unit, unless their stem-like compartment - which is responsible for the formation and maturation of PDTOs but exhibits increased resistance to DNA damage as compared to more differentiated PDTO-composing cells27- is completely eradicated. On the other hand, irradiating PDTO-derived single-cell suspensions may not properly recapitulate the radiosensitivity of PDTO-composing (including stem-like) cells as exhibited in the context of formed PDTOs. Here, we detail a technique that harnesses live imaging of breast cancer PDTOs to monitor the PDTO-forming efficacy and growth rate of PDTO-derived cells previously exposed to ionizing irradiation compared to their unirradiated counterparts. With required variations largely reflecting the differential biology of individual PDTOs (e.g., culture media requirements, growth rate), we expect this protocol to be suitable for the study of radiosensitivity in a wide panel of PTDOs of both mammary and non-mammary origin.

<meta charset="utf8"></head><body>作者聚焦：用于推进癌症研究和个性化医疗的放射治疗和克隆形成检测

实时成像量化患者来源的肿瘤类器官中的细胞放射敏感性

Clonogenic assays are routinely employed to measure the radiation sensitivity of cultured human and mouse cancer cells, and they are considered the gold standard for assessing reproductive cell death induced by radiation, which is more relevant to tumor response to radiation therapy than other measures of cell death quantified using short-term techniques. Clonogenic assays were designed for cells that grew in two-dimensional cultures, which do not recapitulate cell-cell interactions and interactions with the cellular matrix as they occur in the tumor. Patient-derived tumor organoids have emerged as tumor models that at least in part circumvent such limitation.Conventional clonogenic assays cannot be employed as such to assess the radiosensitivity of patient-derived tumor organoids. Here, we detail the technique that harnesses live imaging of breast cancer patient-derived tumor organoids to monitor the organoid forming efficacy and growth rate after exposure to ionizing irradiation versus non-irradiated treatment. In the era of personalized medicine, assessing the sensitivity of patient-derived models is of the utmost importance as it provides the information that is required to design and personalize treatment strategies.In the future, we will be addressing the role of the immune cells that are present in the tumor in modulating the response of PDTO to radiations therapy.

Read this Scientific Article Protocol about Live Imaging to Quantify Cellular Radiosensitivity in Patient-Derived Tumor Organoids at JoVE.com

Radiation therapy (RT) is one of the mainstays of modern clinical cancer management. However, not all cancer types are equally sensitive to irradiation, ...

live-imaging-to-quantify-cellular-radiosensitivity-patient-derived

Research

JoVE Journal

Cancer Research

Live Imaging to Quantify Cellular Radiosensitivity in Patient-Derived Tumor Organoids

Radiation therapy (RT) is one of the mainstays of modern clinical cancer management. However, not all cancer types are equally sensitive to irradiation, often (but not always) because of differences in the ability of malignant cells to repair oxidative DNA damage as elicited by ionizing rays. Clonogenic assays have been employed for decades to assess the sensitivity of cultured cancer cells to ionizing irradiation, largely because irradiated cancer cells often die in a delayed manner that is difficult to quantify with short-term flow cytometry- or microscopy-assisted techniques. Unfortunately, clonogenic assays cannot be employed as such for more complex tumor models, such as patient-derived tumor organoids (PDTOs). Indeed, irradiating established PDTOs may not necessarily abrogate their growth as multicellular units, unless their stem-like compartment is completely eradicated. Moreover, irradiating PDTO-derived single-cell suspensions may not properly recapitulate the sensitivity of malignant cells to RT in the context of established PDTOs. Here, we detail an adaptation of conventional clonogenic assays that involves exposure of established PDTOs to ionizing radiation, followed by single-cell dissociation, replating in suitable culture conditions and live imaging. Non-irradiated (control) PDTO-derived stem-like cells reform growing PDTOs with a PDTO-specific efficiency, which is negatively influenced by irradiation in a dose-dependent manner. In these conditions, PDTO-forming efficiency and growth rate can be quantified as a measure of radiosensitivity on time-lapse images collected until control PDTOs achieve a predefined space occupancy.

Here, we detail a straightforward live imaging approach for quantifying the sensitivity of patient-derived tumor organoids to ionizing radiation.

科研

癌症研究

Irradiation and Processing of Patient-Derived Tumor Organoids for Radiosensitivity Assessment Using Live Imaging

To begin, obtain patient derived tumor organoid or PDTO and add three milliliters of fresh enriched DMEM F/12 culture medium to the PDTO every three to four days. Using the small animal research radiation platform irradiator, irradiate the PDTO containing domes in the open field mode. Immediately after irradiation wash each PDTO containing Nagrigel dome with two milliliters of enriched DMEM F/12 medium.Then using a P 1000 resuspend the PDTO in one to three milliliters of a commercially obtained recombinant enzyme. Transfer the cell suspension into a 50 milliliter centrifuge tube and incubate for five minutes at 37 degrees Celsius. Centrifuge the tube to pellet the cells and aspirate the supernatant to leave approximately one milliliter of recombinant enzyme in the tube.Then wash the cells with enriched DMEM F/12 medium and filter the cell suspension in a 40 micrometer mesh filter to eliminate cell clusters, stain a small sample of the filtered cells with 10%tripin blue in PBS and count them in an automated cell counter. Resuspend the cells to achieve a density of 800 cells in 50 microliters of enriched medium with 66%magrigel. Next plate, each dome in separate wells of an imaging compatible 48 well culture plate and incubate the plate to let the magrigel solidify.Finally, add 0.5 to one milliliter of enriched DMEM F/12 medium to each well for live imaging.

使用实时成像对患者来源的肿瘤类器官进行照射和处理以进行放射敏感性评估

Live Imaging for Quantifying Radiation Therapy Effects on Patient-Derived Tumor Organoids

To begin, obtain the patient-derived tumor organoid, or PDTO, Matrigel Dome and position it in the live imaging system. In the IncuCyte software, select Schedule To Acquire. Click on the plus sign in the upper left corner, select Scan On Schedule, and click Next.Then select Create Vessel New, choose Organoid, followed by QC and Phase plus Brightfield image channels. After choosing the software validated plate, as per the catalog number, select the location of the plate on the instrument and the wells according to the plate layout. To create plate map, click on the plus sign in the upper right corner of the plate layout.Then under the Cells section, click the Add or Edit Cell Type icon and indicate the cell type. Choose the appropriate wells and click on the plus icon. To indicate the treatment, go to growth conditions and click on Create a New Condition.Apply to the appropriate wells with the plus icon. Click on OK, followed by Next. After checking if defer analysis until later is selected, click on Next.Choose to scan twice a day indefinitely. Finally, check the summary and click on Add To Schedule. Irradiation of one of the breast cancer PTDOs in a single dose of two Gray radiation therapy significantly delayed PDTO regrowth, while higher radiation doses completely prevented the regeneration of growing PDTO.