Cargando…
A clinical evaluation of an ex vivo organ culture system to predict patient response to cancer therapy
INTRODUCTION: Ex vivo organ cultures (EVOC) were recently optimized to sustain cancer tissue for 5 days with its complete microenvironment. We examined the ability of an EVOC platform to predict patient response to cancer therapy. METHODS: A multicenter, prospective, single-arm observational trial....
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569691/ https://www.ncbi.nlm.nih.gov/pubmed/37840996 http://dx.doi.org/10.3389/fmed.2023.1221484 |
_version_ | 1785119602678693888 |
---|---|
author | Golan, Shay Bar, Vered Salpeter, Seth J. Neev, Guy Creiderman, German Kedar, Daniel Aharon, Sara Turovsky, Lubov Zundelevich, Adi Shahar, Hamutal Shapira, Hagit Mallel, Giuseppe Stossel, Erez Gavert, Nancy Straussman, Ravid Dotan, Zohar Berger, Raanan Stossel, Chani Golan, Talia Halperin, Sharon Leibovici, Dan Breuer, Shani Rottenberg, Yakir Applebaum, Liat Hubert, Ayala Nechushtan, Hovav Peretz, Tamar Zick, Aviad Chertin, Boris Koulikov, Dmitry Sonnenblick, Amir Rosenbaum, Eli |
author_facet | Golan, Shay Bar, Vered Salpeter, Seth J. Neev, Guy Creiderman, German Kedar, Daniel Aharon, Sara Turovsky, Lubov Zundelevich, Adi Shahar, Hamutal Shapira, Hagit Mallel, Giuseppe Stossel, Erez Gavert, Nancy Straussman, Ravid Dotan, Zohar Berger, Raanan Stossel, Chani Golan, Talia Halperin, Sharon Leibovici, Dan Breuer, Shani Rottenberg, Yakir Applebaum, Liat Hubert, Ayala Nechushtan, Hovav Peretz, Tamar Zick, Aviad Chertin, Boris Koulikov, Dmitry Sonnenblick, Amir Rosenbaum, Eli |
author_sort | Golan, Shay |
collection | PubMed |
description | INTRODUCTION: Ex vivo organ cultures (EVOC) were recently optimized to sustain cancer tissue for 5 days with its complete microenvironment. We examined the ability of an EVOC platform to predict patient response to cancer therapy. METHODS: A multicenter, prospective, single-arm observational trial. Samples were obtained from patients with newly diagnosed bladder cancer who underwent transurethral resection of bladder tumor and from core needle biopsies of patients with metastatic cancer. The tumors were cut into 250 μM slices and cultured within 24 h, then incubated for 96 h with vehicle or intended to treat drug. The cultures were then fixed and stained to analyze their morphology and cell viability. Each EVOC was given a score based on cell viability, level of damage, and Ki67 proliferation, and the scores were correlated with the patients’ clinical response assessed by pathology or Response Evaluation Criteria in Solid Tumors (RECIST). RESULTS: The cancer tissue and microenvironment, including endothelial and immune cells, were preserved at high viability with continued cell division for 5 days, demonstrating active cell signaling dynamics. A total of 34 cancer samples were tested by the platform and were correlated with clinical results. A higher EVOC score was correlated with better clinical response. The EVOC system showed a predictive specificity of 77.7% (7/9, 95% CI 0.4–0.97) and a sensitivity of 96% (24/25, 95% CI 0.80–0.99). CONCLUSION: EVOC cultured for 5 days showed high sensitivity and specificity for predicting clinical response to therapy among patients with muscle-invasive bladder cancer and other solid tumors. |
format | Online Article Text |
id | pubmed-10569691 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105696912023-10-13 A clinical evaluation of an ex vivo organ culture system to predict patient response to cancer therapy Golan, Shay Bar, Vered Salpeter, Seth J. Neev, Guy Creiderman, German Kedar, Daniel Aharon, Sara Turovsky, Lubov Zundelevich, Adi Shahar, Hamutal Shapira, Hagit Mallel, Giuseppe Stossel, Erez Gavert, Nancy Straussman, Ravid Dotan, Zohar Berger, Raanan Stossel, Chani Golan, Talia Halperin, Sharon Leibovici, Dan Breuer, Shani Rottenberg, Yakir Applebaum, Liat Hubert, Ayala Nechushtan, Hovav Peretz, Tamar Zick, Aviad Chertin, Boris Koulikov, Dmitry Sonnenblick, Amir Rosenbaum, Eli Front Med (Lausanne) Medicine INTRODUCTION: Ex vivo organ cultures (EVOC) were recently optimized to sustain cancer tissue for 5 days with its complete microenvironment. We examined the ability of an EVOC platform to predict patient response to cancer therapy. METHODS: A multicenter, prospective, single-arm observational trial. Samples were obtained from patients with newly diagnosed bladder cancer who underwent transurethral resection of bladder tumor and from core needle biopsies of patients with metastatic cancer. The tumors were cut into 250 μM slices and cultured within 24 h, then incubated for 96 h with vehicle or intended to treat drug. The cultures were then fixed and stained to analyze their morphology and cell viability. Each EVOC was given a score based on cell viability, level of damage, and Ki67 proliferation, and the scores were correlated with the patients’ clinical response assessed by pathology or Response Evaluation Criteria in Solid Tumors (RECIST). RESULTS: The cancer tissue and microenvironment, including endothelial and immune cells, were preserved at high viability with continued cell division for 5 days, demonstrating active cell signaling dynamics. A total of 34 cancer samples were tested by the platform and were correlated with clinical results. A higher EVOC score was correlated with better clinical response. The EVOC system showed a predictive specificity of 77.7% (7/9, 95% CI 0.4–0.97) and a sensitivity of 96% (24/25, 95% CI 0.80–0.99). CONCLUSION: EVOC cultured for 5 days showed high sensitivity and specificity for predicting clinical response to therapy among patients with muscle-invasive bladder cancer and other solid tumors. Frontiers Media S.A. 2023-09-28 /pmc/articles/PMC10569691/ /pubmed/37840996 http://dx.doi.org/10.3389/fmed.2023.1221484 Text en Copyright © 2023 Golan, Bar, Salpeter, Neev, Creiderman, Kedar, Aharon, Turovsky, Zundelevich, Shahar, Shapira, Mallel, Stossel, Gavert, Straussman, Dotan, Berger, Stossel, Golan, Halperin, Leibovici, Breuer, Rottenberg, Applebaum, Hubert, Nechushtan, Peretz, Zick, Chertin, Koulikov, Sonnenblick and Rosenbaum. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Golan, Shay Bar, Vered Salpeter, Seth J. Neev, Guy Creiderman, German Kedar, Daniel Aharon, Sara Turovsky, Lubov Zundelevich, Adi Shahar, Hamutal Shapira, Hagit Mallel, Giuseppe Stossel, Erez Gavert, Nancy Straussman, Ravid Dotan, Zohar Berger, Raanan Stossel, Chani Golan, Talia Halperin, Sharon Leibovici, Dan Breuer, Shani Rottenberg, Yakir Applebaum, Liat Hubert, Ayala Nechushtan, Hovav Peretz, Tamar Zick, Aviad Chertin, Boris Koulikov, Dmitry Sonnenblick, Amir Rosenbaum, Eli A clinical evaluation of an ex vivo organ culture system to predict patient response to cancer therapy |
title | A clinical evaluation of an ex vivo organ culture system to predict patient response to cancer therapy |
title_full | A clinical evaluation of an ex vivo organ culture system to predict patient response to cancer therapy |
title_fullStr | A clinical evaluation of an ex vivo organ culture system to predict patient response to cancer therapy |
title_full_unstemmed | A clinical evaluation of an ex vivo organ culture system to predict patient response to cancer therapy |
title_short | A clinical evaluation of an ex vivo organ culture system to predict patient response to cancer therapy |
title_sort | clinical evaluation of an ex vivo organ culture system to predict patient response to cancer therapy |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569691/ https://www.ncbi.nlm.nih.gov/pubmed/37840996 http://dx.doi.org/10.3389/fmed.2023.1221484 |
work_keys_str_mv | AT golanshay aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT barvered aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT salpetersethj aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT neevguy aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT creidermangerman aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT kedardaniel aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT aharonsara aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT turovskylubov aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT zundelevichadi aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT shaharhamutal aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT shapirahagit aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT mallelgiuseppe aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT stosselerez aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT gavertnancy aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT straussmanravid aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT dotanzohar aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT bergerraanan aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT stosselchani aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT golantalia aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT halperinsharon aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT leibovicidan aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT breuershani aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT rottenbergyakir aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT applebaumliat aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT hubertayala aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT nechushtanhovav aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT peretztamar aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT zickaviad aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT chertinboris aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT koulikovdmitry aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT sonnenblickamir aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT rosenbaumeli aclinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT golanshay clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT barvered clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT salpetersethj clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT neevguy clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT creidermangerman clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT kedardaniel clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT aharonsara clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT turovskylubov clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT zundelevichadi clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT shaharhamutal clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT shapirahagit clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT mallelgiuseppe clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT stosselerez clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT gavertnancy clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT straussmanravid clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT dotanzohar clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT bergerraanan clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT stosselchani clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT golantalia clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT halperinsharon clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT leibovicidan clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT breuershani clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT rottenbergyakir clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT applebaumliat clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT hubertayala clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT nechushtanhovav clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT peretztamar clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT zickaviad clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT chertinboris clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT koulikovdmitry clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT sonnenblickamir clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy AT rosenbaumeli clinicalevaluationofanexvivoorganculturesystemtopredictpatientresponsetocancertherapy |