Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Dong Woo, Choi, Sung Yong, Kim, Soo Yoon, Kim, Hye Jin, Shin, Da-Yong, Shim, Joonho, Ku, Bosung, Oh, Dongryul, Chung, Man Ki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2022
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
_version_ 1784749793453539328
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
work_keys_str_mv AT leedongwoo anovel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT choisungyong anovel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT kimsooyoon anovel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT kimhyejin anovel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT shindayong anovel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT shimjoonho anovel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT kubosung anovel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT ohdongryul anovel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT chungmanki anovel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT leedongwoo novel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT choisungyong novel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT kimsooyoon novel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT kimhyejin novel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT shindayong novel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT shimjoonho novel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT kubosung novel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT ohdongryul novel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse
AT chungmanki novel3dpillarwellarrayplatformusingpatientderivedheadandnecktumortopredicttheindividualradioresponse