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A novel 3D pillar/well array platform using patient-derived head and neck tumor to predict the individual radioresponse
Predicting individual radiotherapy (RT) response is valuable in managing head and neck squamous cell carcinoma (HNSCC). We assessed the feasibility of our novel 3D culture platform to measure radioresponse using patient-derived cells (PDCs) from HNSCC patients. Cells from the FaDu line and tumor sam...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294182/ https://www.ncbi.nlm.nih.gov/pubmed/35850059 http://dx.doi.org/10.1016/j.tranon.2022.101483 |
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author | Lee, Dong Woo Choi, Sung Yong Kim, Soo Yoon Kim, Hye Jin Shin, Da-Yong Shim, Joonho Ku, Bosung Oh, Dongryul Chung, Man Ki |
author_facet | Lee, Dong Woo Choi, Sung Yong Kim, Soo Yoon Kim, Hye Jin Shin, Da-Yong Shim, Joonho Ku, Bosung Oh, Dongryul Chung, Man Ki |
author_sort | Lee, Dong Woo |
collection | PubMed |
description | Predicting individual radiotherapy (RT) response is valuable in managing head and neck squamous cell carcinoma (HNSCC). We assessed the feasibility of our novel 3D culture platform to measure radioresponse using patient-derived cells (PDCs) from HNSCC patients. Cells from the FaDu line and tumor samples from 39 HNSCC patients were cultivated serially in Matrigel(TM) on a 3D pillar/well array culture system. The 3D tumor models were exposed to 0 to 8 Gy of radiation dose, and the radioresponse index (RT(auc), area under the dose-response curve) was measured quantitatively with Calcein AM staining of live tumor cells. Calcein AM fluorescence showed reduced density and the number of FaDu colonies as radiation increased, implying a dose-dependent effect on cell viability in the 3D pillar/well culture system. 3D tumor models using PDCs were established successfully from 39 HNSCC patient tumor samples, maintaining original genomic and pathological characteristics. These 3D tumor models were exposed to ionizing radiation on a 3D pillar/well array, with a mean period of 12 days from tumor harvest to the measurement of RT(auc). The RT(auc) of all PDCs varied from 3.5 to 9.4, and the lower 40th percentile (Z-score = -0.26) was considered a good radioresponse group with a threshold RT(auc) of 4.6. The good radioresponse group showed fewer adverse features than others. As of the last follow-up, recurrence-free survival was better in the good radioresponse group (p = 0.037). 3D pillar/well array platforms using PDC could rapidly quantify radioresponse index in patients with HNSCC, showing potential as a novel prognosticator. |
format | Online Article Text |
id | pubmed-9294182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Neoplasia Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92941822022-07-25 A novel 3D pillar/well array platform using patient-derived head and neck tumor to predict the individual radioresponse Lee, Dong Woo Choi, Sung Yong Kim, Soo Yoon Kim, Hye Jin Shin, Da-Yong Shim, Joonho Ku, Bosung Oh, Dongryul Chung, Man Ki Transl Oncol Original Research Predicting individual radiotherapy (RT) response is valuable in managing head and neck squamous cell carcinoma (HNSCC). We assessed the feasibility of our novel 3D culture platform to measure radioresponse using patient-derived cells (PDCs) from HNSCC patients. Cells from the FaDu line and tumor samples from 39 HNSCC patients were cultivated serially in Matrigel(TM) on a 3D pillar/well array culture system. The 3D tumor models were exposed to 0 to 8 Gy of radiation dose, and the radioresponse index (RT(auc), area under the dose-response curve) was measured quantitatively with Calcein AM staining of live tumor cells. Calcein AM fluorescence showed reduced density and the number of FaDu colonies as radiation increased, implying a dose-dependent effect on cell viability in the 3D pillar/well culture system. 3D tumor models using PDCs were established successfully from 39 HNSCC patient tumor samples, maintaining original genomic and pathological characteristics. These 3D tumor models were exposed to ionizing radiation on a 3D pillar/well array, with a mean period of 12 days from tumor harvest to the measurement of RT(auc). The RT(auc) of all PDCs varied from 3.5 to 9.4, and the lower 40th percentile (Z-score = -0.26) was considered a good radioresponse group with a threshold RT(auc) of 4.6. The good radioresponse group showed fewer adverse features than others. As of the last follow-up, recurrence-free survival was better in the good radioresponse group (p = 0.037). 3D pillar/well array platforms using PDC could rapidly quantify radioresponse index in patients with HNSCC, showing potential as a novel prognosticator. Neoplasia Press 2022-07-16 /pmc/articles/PMC9294182/ /pubmed/35850059 http://dx.doi.org/10.1016/j.tranon.2022.101483 Text en © 2022 Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Research Lee, Dong Woo Choi, Sung Yong Kim, Soo Yoon Kim, Hye Jin Shin, Da-Yong Shim, Joonho Ku, Bosung Oh, Dongryul Chung, Man Ki A novel 3D pillar/well array platform using patient-derived head and neck tumor to predict the individual radioresponse |
title | A novel 3D pillar/well array platform using patient-derived head and neck tumor to predict the individual radioresponse |
title_full | A novel 3D pillar/well array platform using patient-derived head and neck tumor to predict the individual radioresponse |
title_fullStr | A novel 3D pillar/well array platform using patient-derived head and neck tumor to predict the individual radioresponse |
title_full_unstemmed | A novel 3D pillar/well array platform using patient-derived head and neck tumor to predict the individual radioresponse |
title_short | A novel 3D pillar/well array platform using patient-derived head and neck tumor to predict the individual radioresponse |
title_sort | novel 3d pillar/well array platform using patient-derived head and neck tumor to predict the individual radioresponse |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294182/ https://www.ncbi.nlm.nih.gov/pubmed/35850059 http://dx.doi.org/10.1016/j.tranon.2022.101483 |
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