Integrative Radiogenomics Approach for Risk Assessment of Postoperative and Adjuvant Chemotherapy Benefits for Gastric Cancer Patients
Gastric cancer (GC) is a typical heterogeneous malignant tumor, whose insensitivity to chemotherapy is a common cause of tumor recurrence and metastasis. There is no doubt regarding the effectiveness of adjuvant chemotherapy (ACT) for GC, but the population for whom it is indicated and the selection...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:20aa359a29484ab28165cbedfe051ff02021-11-05T09:12:40ZIntegrative Radiogenomics Approach for Risk Assessment of Postoperative and Adjuvant Chemotherapy Benefits for Gastric Cancer Patients2234-943X10.3389/fonc.2021.755271https://doaj.org/article/20aa359a29484ab28165cbedfe051ff02021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.755271/fullhttps://doaj.org/toc/2234-943XGastric cancer (GC) is a typical heterogeneous malignant tumor, whose insensitivity to chemotherapy is a common cause of tumor recurrence and metastasis. There is no doubt regarding the effectiveness of adjuvant chemotherapy (ACT) for GC, but the population for whom it is indicated and the selection of specific options remain the focus of present research. The conventional pathological TNM prediction focuses on cancer cells to predict prognosis, while they do not provide sufficient prediction. Enhanced computed tomography (CT) scanning is a validated tool that assesses the involvement of careful identification of the tumor, lymph node involvement, and metastatic spread. Using the radiomics approach, we selected the least absolute shrinkage and selection operator (LASSO) Cox regression model to build a radiomics signature for predicting the overall survival (OS) and disease-free survival (DFS) of patients with complete postoperative gastric cancer and further identifying candidate benefits from ACT. The radiomics trait-associated genes captured clinically relevant molecular pathways and potential chemotherapeutic drug metabolism mechanisms. Our results of precise surrogates using radiogenomics can lead to additional benefit from adjuvant chemotherapy and then survival prediction in postoperative GC patients.Yin JinYilun XuYanyan LiRenpin ChenWeiyang CaiFrontiers Media S.A.articleradiogenomicsadjuvant chemotherapy benefitpostoperative gastric cancernomogramsurvival predictionNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021) |
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radiogenomics adjuvant chemotherapy benefit postoperative gastric cancer nomogram survival prediction Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
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radiogenomics adjuvant chemotherapy benefit postoperative gastric cancer nomogram survival prediction Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Yin Jin Yilun Xu Yanyan Li Renpin Chen Weiyang Cai Integrative Radiogenomics Approach for Risk Assessment of Postoperative and Adjuvant Chemotherapy Benefits for Gastric Cancer Patients |
description |
Gastric cancer (GC) is a typical heterogeneous malignant tumor, whose insensitivity to chemotherapy is a common cause of tumor recurrence and metastasis. There is no doubt regarding the effectiveness of adjuvant chemotherapy (ACT) for GC, but the population for whom it is indicated and the selection of specific options remain the focus of present research. The conventional pathological TNM prediction focuses on cancer cells to predict prognosis, while they do not provide sufficient prediction. Enhanced computed tomography (CT) scanning is a validated tool that assesses the involvement of careful identification of the tumor, lymph node involvement, and metastatic spread. Using the radiomics approach, we selected the least absolute shrinkage and selection operator (LASSO) Cox regression model to build a radiomics signature for predicting the overall survival (OS) and disease-free survival (DFS) of patients with complete postoperative gastric cancer and further identifying candidate benefits from ACT. The radiomics trait-associated genes captured clinically relevant molecular pathways and potential chemotherapeutic drug metabolism mechanisms. Our results of precise surrogates using radiogenomics can lead to additional benefit from adjuvant chemotherapy and then survival prediction in postoperative GC patients. |
format |
article |
author |
Yin Jin Yilun Xu Yanyan Li Renpin Chen Weiyang Cai |
author_facet |
Yin Jin Yilun Xu Yanyan Li Renpin Chen Weiyang Cai |
author_sort |
Yin Jin |
title |
Integrative Radiogenomics Approach for Risk Assessment of Postoperative and Adjuvant Chemotherapy Benefits for Gastric Cancer Patients |
title_short |
Integrative Radiogenomics Approach for Risk Assessment of Postoperative and Adjuvant Chemotherapy Benefits for Gastric Cancer Patients |
title_full |
Integrative Radiogenomics Approach for Risk Assessment of Postoperative and Adjuvant Chemotherapy Benefits for Gastric Cancer Patients |
title_fullStr |
Integrative Radiogenomics Approach for Risk Assessment of Postoperative and Adjuvant Chemotherapy Benefits for Gastric Cancer Patients |
title_full_unstemmed |
Integrative Radiogenomics Approach for Risk Assessment of Postoperative and Adjuvant Chemotherapy Benefits for Gastric Cancer Patients |
title_sort |
integrative radiogenomics approach for risk assessment of postoperative and adjuvant chemotherapy benefits for gastric cancer patients |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/20aa359a29484ab28165cbedfe051ff0 |
work_keys_str_mv |
AT yinjin integrativeradiogenomicsapproachforriskassessmentofpostoperativeandadjuvantchemotherapybenefitsforgastriccancerpatients AT yilunxu integrativeradiogenomicsapproachforriskassessmentofpostoperativeandadjuvantchemotherapybenefitsforgastriccancerpatients AT yanyanli integrativeradiogenomicsapproachforriskassessmentofpostoperativeandadjuvantchemotherapybenefitsforgastriccancerpatients AT renpinchen integrativeradiogenomicsapproachforriskassessmentofpostoperativeandadjuvantchemotherapybenefitsforgastriccancerpatients AT weiyangcai integrativeradiogenomicsapproachforriskassessmentofpostoperativeandadjuvantchemotherapybenefitsforgastriccancerpatients |
_version_ |
1718444395907252224 |