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Creation of EGD-Derived Gastric Cancer Organoids to Predict Treatment Responses

SIMPLE SUMMARY: Gastric cancer is a deadly disease with no established method to choose the most effective chemotherapy for each patient. To address this public health issue, our group has developed a novel approach using patient tumor samples to create 3D tumor models for rapid drug sensitivity tes...

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Autores principales: McDonald, Hannah G., Harper, Megan M., Hill, Kristen, Gao, Anqi, Solomon, Angelica L., Bailey, Charles J., Lin, Miranda, Barry-Hundeyin, Mautin, Cavnar, Michael J., Mardini, Samuel H., Pandalai, Prakash J., Patel, Reema A., Kolesar, Jill M., Rueckert, Justin A., Hookey, Lawrence, Ropeleski, Mark, Merchant, Shaila J., Kim, Joseph, Gao, Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252567/
https://www.ncbi.nlm.nih.gov/pubmed/37296998
http://dx.doi.org/10.3390/cancers15113036
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author McDonald, Hannah G.
Harper, Megan M.
Hill, Kristen
Gao, Anqi
Solomon, Angelica L.
Bailey, Charles J.
Lin, Miranda
Barry-Hundeyin, Mautin
Cavnar, Michael J.
Mardini, Samuel H.
Pandalai, Prakash J.
Patel, Reema A.
Kolesar, Jill M.
Rueckert, Justin A.
Hookey, Lawrence
Ropeleski, Mark
Merchant, Shaila J.
Kim, Joseph
Gao, Mei
author_facet McDonald, Hannah G.
Harper, Megan M.
Hill, Kristen
Gao, Anqi
Solomon, Angelica L.
Bailey, Charles J.
Lin, Miranda
Barry-Hundeyin, Mautin
Cavnar, Michael J.
Mardini, Samuel H.
Pandalai, Prakash J.
Patel, Reema A.
Kolesar, Jill M.
Rueckert, Justin A.
Hookey, Lawrence
Ropeleski, Mark
Merchant, Shaila J.
Kim, Joseph
Gao, Mei
author_sort McDonald, Hannah G.
collection PubMed
description SIMPLE SUMMARY: Gastric cancer is a deadly disease with no established method to choose the most effective chemotherapy for each patient. To address this public health issue, our group has developed a novel approach using patient tumor samples to create 3D tumor models for rapid drug sensitivity testing. We demonstrated the ability to use patient tumor samples that have been shipped overnight to show that selecting the most effective chemotherapy regimen can be accomplished for patients across the nation. We were able to create 3D tumor models within 24 h and perform drug sensitivity testing within 2 weeks of receiving the tumor sample. This indicates that we have developed a methodology to select the most effective chemotherapy for each patient with gastric cancer within two weeks of diagnosis. ABSTRACT: BACKGROUND: Gastric adenocarcinoma (GAd) is the third leading cause of cancer-related deaths worldwide. Most patients require perioperative chemotherapy, yet methods to accurately predict responses to therapy are lacking. Thus, patients may be unnecessarily exposed to considerable toxicities. Here, we present a novel methodology using patient-derived organoids (PDOs) that rapidly and accurately predicts the chemotherapy efficacy for GAd patients. Methods: Endoscopic GAd biopsies were obtained from 19 patients, shipped overnight, and PDOs were developed within 24 h. Drug sensitivity testing was performed on PDO single-cells with current standard-of-care systemic GAd regimens and cell viability was measured. Whole exome sequencing was used to confirm the consistency of tumor-related gene mutations and copy number alterations between primary tumors, PDOs, and PDO single-cells. Results: Overall, 15 of 19 biopsies (79%) were appropriate for PDO creation and single-cell expansion within 24 h of specimen collection and overnight shipment. With our PDO single-cell technique, PDOs (53%) were successfully developed. Subsequently, two PDO lines were subjected to drug sensitivity testing within 12 days from initial biopsy procurement. Drug sensitivity assays revealed unique treatment response profiles for combination drug regimens in both of the two unique PDOs, which corresponded with the clinical response. Conclusions: The successful creation of PDOs within 24 h of endoscopic biopsy and rapid drug testing within 2 weeks demonstrate the feasibility of our novel approach for future applications in clinical decision making. This proof of concept sets the foundation for future clinical trials using PDOs to predict clinical responses to GAd therapies.
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spelling pubmed-102525672023-06-10 Creation of EGD-Derived Gastric Cancer Organoids to Predict Treatment Responses McDonald, Hannah G. Harper, Megan M. Hill, Kristen Gao, Anqi Solomon, Angelica L. Bailey, Charles J. Lin, Miranda Barry-Hundeyin, Mautin Cavnar, Michael J. Mardini, Samuel H. Pandalai, Prakash J. Patel, Reema A. Kolesar, Jill M. Rueckert, Justin A. Hookey, Lawrence Ropeleski, Mark Merchant, Shaila J. Kim, Joseph Gao, Mei Cancers (Basel) Article SIMPLE SUMMARY: Gastric cancer is a deadly disease with no established method to choose the most effective chemotherapy for each patient. To address this public health issue, our group has developed a novel approach using patient tumor samples to create 3D tumor models for rapid drug sensitivity testing. We demonstrated the ability to use patient tumor samples that have been shipped overnight to show that selecting the most effective chemotherapy regimen can be accomplished for patients across the nation. We were able to create 3D tumor models within 24 h and perform drug sensitivity testing within 2 weeks of receiving the tumor sample. This indicates that we have developed a methodology to select the most effective chemotherapy for each patient with gastric cancer within two weeks of diagnosis. ABSTRACT: BACKGROUND: Gastric adenocarcinoma (GAd) is the third leading cause of cancer-related deaths worldwide. Most patients require perioperative chemotherapy, yet methods to accurately predict responses to therapy are lacking. Thus, patients may be unnecessarily exposed to considerable toxicities. Here, we present a novel methodology using patient-derived organoids (PDOs) that rapidly and accurately predicts the chemotherapy efficacy for GAd patients. Methods: Endoscopic GAd biopsies were obtained from 19 patients, shipped overnight, and PDOs were developed within 24 h. Drug sensitivity testing was performed on PDO single-cells with current standard-of-care systemic GAd regimens and cell viability was measured. Whole exome sequencing was used to confirm the consistency of tumor-related gene mutations and copy number alterations between primary tumors, PDOs, and PDO single-cells. Results: Overall, 15 of 19 biopsies (79%) were appropriate for PDO creation and single-cell expansion within 24 h of specimen collection and overnight shipment. With our PDO single-cell technique, PDOs (53%) were successfully developed. Subsequently, two PDO lines were subjected to drug sensitivity testing within 12 days from initial biopsy procurement. Drug sensitivity assays revealed unique treatment response profiles for combination drug regimens in both of the two unique PDOs, which corresponded with the clinical response. Conclusions: The successful creation of PDOs within 24 h of endoscopic biopsy and rapid drug testing within 2 weeks demonstrate the feasibility of our novel approach for future applications in clinical decision making. This proof of concept sets the foundation for future clinical trials using PDOs to predict clinical responses to GAd therapies. MDPI 2023-06-02 /pmc/articles/PMC10252567/ /pubmed/37296998 http://dx.doi.org/10.3390/cancers15113036 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
McDonald, Hannah G.
Harper, Megan M.
Hill, Kristen
Gao, Anqi
Solomon, Angelica L.
Bailey, Charles J.
Lin, Miranda
Barry-Hundeyin, Mautin
Cavnar, Michael J.
Mardini, Samuel H.
Pandalai, Prakash J.
Patel, Reema A.
Kolesar, Jill M.
Rueckert, Justin A.
Hookey, Lawrence
Ropeleski, Mark
Merchant, Shaila J.
Kim, Joseph
Gao, Mei
Creation of EGD-Derived Gastric Cancer Organoids to Predict Treatment Responses
title Creation of EGD-Derived Gastric Cancer Organoids to Predict Treatment Responses
title_full Creation of EGD-Derived Gastric Cancer Organoids to Predict Treatment Responses
title_fullStr Creation of EGD-Derived Gastric Cancer Organoids to Predict Treatment Responses
title_full_unstemmed Creation of EGD-Derived Gastric Cancer Organoids to Predict Treatment Responses
title_short Creation of EGD-Derived Gastric Cancer Organoids to Predict Treatment Responses
title_sort creation of egd-derived gastric cancer organoids to predict treatment responses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252567/
https://www.ncbi.nlm.nih.gov/pubmed/37296998
http://dx.doi.org/10.3390/cancers15113036
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