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Personalized Treatment of Advanced Gastric Cancer Guided by the MiniPDX Model

BACKGROUND: The morbidity and mortality of gastric cancer are high in China. There are challenges to develop precise and individualized drug regimens for patients with gastric cancer after a standard treatment. Choosing the most appropriate anticancer drug after a patient developing drug resistance...

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Autores principales: Wang, Jianzheng, Huang, Jinxi, Wang, Hui, Yang, Wei, Bai, Qiwen, Yao, Zhentao, Li, Qingli, Lv, Huifang, Chen, Beibei, Nie, Caiyun, Xu, Weifeng, Tu, Shuiping, Li, Hongle, Chen, Xiaobing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813284/
https://www.ncbi.nlm.nih.gov/pubmed/35126513
http://dx.doi.org/10.1155/2022/1987705
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author Wang, Jianzheng
Huang, Jinxi
Wang, Hui
Yang, Wei
Bai, Qiwen
Yao, Zhentao
Li, Qingli
Lv, Huifang
Chen, Beibei
Nie, Caiyun
Xu, Weifeng
Tu, Shuiping
Li, Hongle
Chen, Xiaobing
author_facet Wang, Jianzheng
Huang, Jinxi
Wang, Hui
Yang, Wei
Bai, Qiwen
Yao, Zhentao
Li, Qingli
Lv, Huifang
Chen, Beibei
Nie, Caiyun
Xu, Weifeng
Tu, Shuiping
Li, Hongle
Chen, Xiaobing
author_sort Wang, Jianzheng
collection PubMed
description BACKGROUND: The morbidity and mortality of gastric cancer are high in China. There are challenges to develop precise and individualized drug regimens for patients with gastric cancer after a standard treatment. Choosing the most appropriate anticancer drug after a patient developing drug resistance is very important to improve the patient's prognosis. MiniPDX has been widely used as a new and reliable preclinical research model to predict the sensitivity of anticancer drugs. METHODS: The OncoVee® MiniPDX system developed by Shanghai LIDE Biotech Co., Ltd. was used to establish the MiniPDX models using specimens of patients with gastric cancer. The cancer tissues were biopsied under endoscopy, and then, the tumor cell suspension was prepared for a drug sensitivity test by subcutaneously implanting into Balb/c-nude mice. The selected optimal regimen obtained from the MiniPDX assay was used to treat patients with drug-resistant gastric cancer. RESULTS: We successfully established an individualized and sensitive drug screening system for four patients from January 2021 to July 2021. MiniPDX models identified potentially effective drugs for these four patients, with partial remission in two of the patients after treatment and disease progression in the remaining of two patients. Severe side effects from chemotherapy or targeted therapy were not observed in all patients. CONCLUSION: Establishing a personalized drug screening system for patients with drug-resistant gastric cancer can guide the selection of clinical drugs, improve the clinical benefit of patients, and avoid ineffective treatments. It can be an effective supplement for treatment options.
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spelling pubmed-88132842022-02-04 Personalized Treatment of Advanced Gastric Cancer Guided by the MiniPDX Model Wang, Jianzheng Huang, Jinxi Wang, Hui Yang, Wei Bai, Qiwen Yao, Zhentao Li, Qingli Lv, Huifang Chen, Beibei Nie, Caiyun Xu, Weifeng Tu, Shuiping Li, Hongle Chen, Xiaobing J Oncol Research Article BACKGROUND: The morbidity and mortality of gastric cancer are high in China. There are challenges to develop precise and individualized drug regimens for patients with gastric cancer after a standard treatment. Choosing the most appropriate anticancer drug after a patient developing drug resistance is very important to improve the patient's prognosis. MiniPDX has been widely used as a new and reliable preclinical research model to predict the sensitivity of anticancer drugs. METHODS: The OncoVee® MiniPDX system developed by Shanghai LIDE Biotech Co., Ltd. was used to establish the MiniPDX models using specimens of patients with gastric cancer. The cancer tissues were biopsied under endoscopy, and then, the tumor cell suspension was prepared for a drug sensitivity test by subcutaneously implanting into Balb/c-nude mice. The selected optimal regimen obtained from the MiniPDX assay was used to treat patients with drug-resistant gastric cancer. RESULTS: We successfully established an individualized and sensitive drug screening system for four patients from January 2021 to July 2021. MiniPDX models identified potentially effective drugs for these four patients, with partial remission in two of the patients after treatment and disease progression in the remaining of two patients. Severe side effects from chemotherapy or targeted therapy were not observed in all patients. CONCLUSION: Establishing a personalized drug screening system for patients with drug-resistant gastric cancer can guide the selection of clinical drugs, improve the clinical benefit of patients, and avoid ineffective treatments. It can be an effective supplement for treatment options. Hindawi 2022-01-27 /pmc/articles/PMC8813284/ /pubmed/35126513 http://dx.doi.org/10.1155/2022/1987705 Text en Copyright © 2022 Jianzheng Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Jianzheng
Huang, Jinxi
Wang, Hui
Yang, Wei
Bai, Qiwen
Yao, Zhentao
Li, Qingli
Lv, Huifang
Chen, Beibei
Nie, Caiyun
Xu, Weifeng
Tu, Shuiping
Li, Hongle
Chen, Xiaobing
Personalized Treatment of Advanced Gastric Cancer Guided by the MiniPDX Model
title Personalized Treatment of Advanced Gastric Cancer Guided by the MiniPDX Model
title_full Personalized Treatment of Advanced Gastric Cancer Guided by the MiniPDX Model
title_fullStr Personalized Treatment of Advanced Gastric Cancer Guided by the MiniPDX Model
title_full_unstemmed Personalized Treatment of Advanced Gastric Cancer Guided by the MiniPDX Model
title_short Personalized Treatment of Advanced Gastric Cancer Guided by the MiniPDX Model
title_sort personalized treatment of advanced gastric cancer guided by the minipdx model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8813284/
https://www.ncbi.nlm.nih.gov/pubmed/35126513
http://dx.doi.org/10.1155/2022/1987705
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