Translational study for stereotactic body radiotherapy against non-small cell lung cancer, including oligometastases, considering cancer stem-like cells enable predicting clinical outcome from in vitro data
Copyright © 2022 Elsevier B.V. All rights reserved..
BACKGROUND: Curative effects of stereotactic body radiotherapy (SBRT) for non-small cell lung cancer (NSCLC) have been evaluated using various biophysical models. Because such model parameters are empirically determined based on clinical experience, there is a large gap between in vitro and clinical studies. In this study, considering the heterogeneous cell population, we performed a translational study to realize the possible linkage based on a modeling approach.
METHODS: We modeled cell-killing and tumor control probability (TCP) considering two populations: progeny and cancer stem-like cells. The model parameters were determined from in vitro survival data of A549 and EBC-1 cells. Based on the cellular parameters, we predicted TCP and compared it with the corresponding clinical data from 553 patients collected at Hirosaki University Hospital.
RESULTS: Using an all-in-one developed model, the so-called integrated microdosimetric-kinetic (IMK) model, we successfully reproduced both in vitro survival after acute irradiation and the 3-year TCP with various fractionation schemes (6-10 Gy per fraction). From the conventional prediction without considering cancer stem cells (CSCs), this study revealed that radioresistant CSCs play a key role in the linkage between in vitro and clinical outcomes.
CONCLUSIONS: This modeling study provides a possible generalized biophysical model that enables precise estimation of SBRT worldwide.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:181 |
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| Enthalten in: |
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology - 181(2023) vom: 03. Apr., Seite 109444 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Saga, Ryo [VerfasserIn] |
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| Links: |
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| Themen: |
Biophysical modeling |
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| Anmerkungen: |
Date Completed 05.04.2023 Date Revised 10.04.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.radonc.2022.109444 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM355167530 |
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| 500 | |a Date Revised 10.04.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2022 Elsevier B.V. All rights reserved. | ||
| 520 | |a BACKGROUND: Curative effects of stereotactic body radiotherapy (SBRT) for non-small cell lung cancer (NSCLC) have been evaluated using various biophysical models. Because such model parameters are empirically determined based on clinical experience, there is a large gap between in vitro and clinical studies. In this study, considering the heterogeneous cell population, we performed a translational study to realize the possible linkage based on a modeling approach | ||
| 520 | |a METHODS: We modeled cell-killing and tumor control probability (TCP) considering two populations: progeny and cancer stem-like cells. The model parameters were determined from in vitro survival data of A549 and EBC-1 cells. Based on the cellular parameters, we predicted TCP and compared it with the corresponding clinical data from 553 patients collected at Hirosaki University Hospital | ||
| 520 | |a RESULTS: Using an all-in-one developed model, the so-called integrated microdosimetric-kinetic (IMK) model, we successfully reproduced both in vitro survival after acute irradiation and the 3-year TCP with various fractionation schemes (6-10 Gy per fraction). From the conventional prediction without considering cancer stem cells (CSCs), this study revealed that radioresistant CSCs play a key role in the linkage between in vitro and clinical outcomes | ||
| 520 | |a CONCLUSIONS: This modeling study provides a possible generalized biophysical model that enables precise estimation of SBRT worldwide | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Biophysical modeling | |
| 650 | 4 | |a Cancer stem-like cells | |
| 650 | 4 | |a Cell survival | |
| 650 | 4 | |a Tumor control probability | |
| 700 | 1 | |a Matsuya, Yusuke |e verfasserin |4 aut | |
| 700 | 1 | |a Sato, Hikari |e verfasserin |4 aut | |
| 700 | 1 | |a Hasegawa, Kazuki |e verfasserin |4 aut | |
| 700 | 1 | |a Obara, Hideki |e verfasserin |4 aut | |
| 700 | 1 | |a Komai, Fumio |e verfasserin |4 aut | |
| 700 | 1 | |a Yoshino, Hironori |e verfasserin |4 aut | |
| 700 | 1 | |a Aoki, Masahiko |e verfasserin |4 aut | |
| 700 | 1 | |a Hosokawa, Yoichiro |e verfasserin |4 aut | |
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