An Immune Model to Predict Prognosis of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy Based on Support Vector Machine
Tumor microenvironment has been increasingly proved to be crucial during the development of breast cancer. The theory about the conversion of cold and hot tumor attracted the attention to the influences of traditional therapeutic strategies on immune system. Various genetic models have been construc...
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doaj-f0d4ec4ba0234c29ab0281c413db336f2021-04-27T07:20:18ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-04-011110.3389/fonc.2021.651809651809An Immune Model to Predict Prognosis of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy Based on Support Vector MachineMozhi Wang0Zhiyuan Pang1Yusong Wang2Mingke Cui3Litong Yao4Shuang Li5Mengshen Wang6Yanfu Zheng7Xiangyu Sun8Haoran Dong9Qiang Zhang10Yingying Xu11Department of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Breast Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, ChinaDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Breast Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, ChinaDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Breast Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, ChinaDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Breast Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, ChinaDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Breast Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, ChinaDepartment of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, ChinaTumor microenvironment has been increasingly proved to be crucial during the development of breast cancer. The theory about the conversion of cold and hot tumor attracted the attention to the influences of traditional therapeutic strategies on immune system. Various genetic models have been constructed, although the relation between immune system and local microenvironment still remains unclear. In this study, we tested and collected the immune index of 262 breast cancer patients before and after neoadjuvant chemotherapy. Five indexes were selected and analyzed to form the prediction model, including the ratio values between after and before neoadjuvant chemotherapy of CD4+/CD8+ T cell ratio; lymphosum of T, B, and natural killer (NK) cells; CD3+CD8+ cytotoxic T cell percent; CD16+CD56+ NK cell absolute value; and CD3+CD4+ helper T cell percent. Interestingly, these characters are both the ratio value of immune status after neoadjuvant chemotherapy to the baseline. Then the prediction model was constructed by support vector machine (accuracy rate = 75.71%, area under curve = 0.793). Beyond the prognostic effect and prediction significance, the study instead emphasized the importance of immune status in traditional systemic therapies. The result provided new evidence that the dynamic change of immune status during neoadjuvant chemotherapy should be paid more attention.https://www.frontiersin.org/articles/10.3389/fonc.2021.651809/fullneoadjuvant chemotherapypredictionimmunitybreast cancersupport vector machine |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mozhi Wang Zhiyuan Pang Yusong Wang Mingke Cui Litong Yao Shuang Li Mengshen Wang Yanfu Zheng Xiangyu Sun Haoran Dong Qiang Zhang Yingying Xu |
spellingShingle |
Mozhi Wang Zhiyuan Pang Yusong Wang Mingke Cui Litong Yao Shuang Li Mengshen Wang Yanfu Zheng Xiangyu Sun Haoran Dong Qiang Zhang Yingying Xu An Immune Model to Predict Prognosis of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy Based on Support Vector Machine Frontiers in Oncology neoadjuvant chemotherapy prediction immunity breast cancer support vector machine |
author_facet |
Mozhi Wang Zhiyuan Pang Yusong Wang Mingke Cui Litong Yao Shuang Li Mengshen Wang Yanfu Zheng Xiangyu Sun Haoran Dong Qiang Zhang Yingying Xu |
author_sort |
Mozhi Wang |
title |
An Immune Model to Predict Prognosis of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy Based on Support Vector Machine |
title_short |
An Immune Model to Predict Prognosis of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy Based on Support Vector Machine |
title_full |
An Immune Model to Predict Prognosis of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy Based on Support Vector Machine |
title_fullStr |
An Immune Model to Predict Prognosis of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy Based on Support Vector Machine |
title_full_unstemmed |
An Immune Model to Predict Prognosis of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy Based on Support Vector Machine |
title_sort |
immune model to predict prognosis of breast cancer patients receiving neoadjuvant chemotherapy based on support vector machine |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Oncology |
issn |
2234-943X |
publishDate |
2021-04-01 |
description |
Tumor microenvironment has been increasingly proved to be crucial during the development of breast cancer. The theory about the conversion of cold and hot tumor attracted the attention to the influences of traditional therapeutic strategies on immune system. Various genetic models have been constructed, although the relation between immune system and local microenvironment still remains unclear. In this study, we tested and collected the immune index of 262 breast cancer patients before and after neoadjuvant chemotherapy. Five indexes were selected and analyzed to form the prediction model, including the ratio values between after and before neoadjuvant chemotherapy of CD4+/CD8+ T cell ratio; lymphosum of T, B, and natural killer (NK) cells; CD3+CD8+ cytotoxic T cell percent; CD16+CD56+ NK cell absolute value; and CD3+CD4+ helper T cell percent. Interestingly, these characters are both the ratio value of immune status after neoadjuvant chemotherapy to the baseline. Then the prediction model was constructed by support vector machine (accuracy rate = 75.71%, area under curve = 0.793). Beyond the prognostic effect and prediction significance, the study instead emphasized the importance of immune status in traditional systemic therapies. The result provided new evidence that the dynamic change of immune status during neoadjuvant chemotherapy should be paid more attention. |
topic |
neoadjuvant chemotherapy prediction immunity breast cancer support vector machine |
url |
https://www.frontiersin.org/articles/10.3389/fonc.2021.651809/full |
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