Prioritizing Susceptible Genes for Thyroid Cancer Based on Gene Interaction Network
Thyroid cancer ranks second in the incidence rate of endocrine malignant cancer. Thyroid cancer is usually asymptomatic at the initial stage, which makes patients easily miss the early treatment time. Combining genetic testing with imaging can greatly improve the diagnostic efficiency of thyroid can...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2021-08-01
|
| Series: | Frontiers in Cell and Developmental Biology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fcell.2021.740267/full |
| _version_ | 1818600775012581376 |
|---|---|
| author | Lin-kun Zhong Chang-lian Xie Shan Jiang Xing-yan Deng Xiao-xiong Gan Jian-hua Feng Wen-song Cai Chi-zhuai Liu Fei Shen Jian-hang Miao Bo Xu |
| author_facet | Lin-kun Zhong Chang-lian Xie Shan Jiang Xing-yan Deng Xiao-xiong Gan Jian-hua Feng Wen-song Cai Chi-zhuai Liu Fei Shen Jian-hang Miao Bo Xu |
| author_sort | Lin-kun Zhong |
| collection | DOAJ |
| description | Thyroid cancer ranks second in the incidence rate of endocrine malignant cancer. Thyroid cancer is usually asymptomatic at the initial stage, which makes patients easily miss the early treatment time. Combining genetic testing with imaging can greatly improve the diagnostic efficiency of thyroid cancer. Researchers have discovered many genes related to thyroid cancer. However, the effects of these genes on thyroid cancer are different. We hypothesize that there is a stronger interaction between the core genes that cause thyroid cancer. Based on this hypothesis, we constructed an interaction network of thyroid cancer-related genes. We traversed the network through random walks, and sorted thyroid cancer-related genes through ADNN which is fusion of Adaboost and deep neural network (DNN). In addition, we discovered more thyroid cancer-related genes by ADNN. In order to verify the accuracy of ADNN, we conducted a fivefold cross-validation. ADNN achieved AUC of 0.85 and AUPR of 0.81, which are more accurate than other methods. |
| first_indexed | 2024-12-16T12:40:50Z |
| format | Article |
| id | doaj.art-0dd11c676c6e4ec4a810499467dd4f98 |
| institution | Directory Open Access Journal |
| issn | 2296-634X |
| language | English |
| last_indexed | 2024-12-16T12:40:50Z |
| publishDate | 2021-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cell and Developmental Biology |
| spelling | doaj.art-0dd11c676c6e4ec4a810499467dd4f982022-12-21T22:31:25ZengFrontiers Media S.A.Frontiers in Cell and Developmental Biology2296-634X2021-08-01910.3389/fcell.2021.740267740267Prioritizing Susceptible Genes for Thyroid Cancer Based on Gene Interaction NetworkLin-kun Zhong0Chang-lian Xie1Shan Jiang2Xing-yan Deng3Xiao-xiong Gan4Jian-hua Feng5Wen-song Cai6Chi-zhuai Liu7Fei Shen8Jian-hang Miao9Bo Xu10Department of General Surgery, Zhongshan City People’s Hospital, Zhongshan, ChinaIntensive Care Unit, Zhongshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Chinese Medicine, Zhongshan, ChinaReproductive Medicine Center, Boai Hospital of Zhongshan, Zhongshan, ChinaDepartment of Thyrovascular Surgery, Maoming People’s Hospital, Maoming, ChinaDepartment of Thyroid Surgery, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, ChinaDepartment of Thyroid Surgery, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, ChinaDepartment of Thyroid Surgery, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, ChinaDepartment of General Surgery, Zhongshan City People’s Hospital, Zhongshan, ChinaDepartment of Thyroid Surgery, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, ChinaDepartment of General Surgery, Zhongshan City People’s Hospital, Zhongshan, ChinaDepartment of Thyroid Surgery, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou, ChinaThyroid cancer ranks second in the incidence rate of endocrine malignant cancer. Thyroid cancer is usually asymptomatic at the initial stage, which makes patients easily miss the early treatment time. Combining genetic testing with imaging can greatly improve the diagnostic efficiency of thyroid cancer. Researchers have discovered many genes related to thyroid cancer. However, the effects of these genes on thyroid cancer are different. We hypothesize that there is a stronger interaction between the core genes that cause thyroid cancer. Based on this hypothesis, we constructed an interaction network of thyroid cancer-related genes. We traversed the network through random walks, and sorted thyroid cancer-related genes through ADNN which is fusion of Adaboost and deep neural network (DNN). In addition, we discovered more thyroid cancer-related genes by ADNN. In order to verify the accuracy of ADNN, we conducted a fivefold cross-validation. ADNN achieved AUC of 0.85 and AUPR of 0.81, which are more accurate than other methods.https://www.frontiersin.org/articles/10.3389/fcell.2021.740267/fullthyroid cancergene interactiongenetic testingAdaboostdeep neural network |
| spellingShingle | Lin-kun Zhong Chang-lian Xie Shan Jiang Xing-yan Deng Xiao-xiong Gan Jian-hua Feng Wen-song Cai Chi-zhuai Liu Fei Shen Jian-hang Miao Bo Xu Prioritizing Susceptible Genes for Thyroid Cancer Based on Gene Interaction Network Frontiers in Cell and Developmental Biology thyroid cancer gene interaction genetic testing Adaboost deep neural network |
| title | Prioritizing Susceptible Genes for Thyroid Cancer Based on Gene Interaction Network |
| title_full | Prioritizing Susceptible Genes for Thyroid Cancer Based on Gene Interaction Network |
| title_fullStr | Prioritizing Susceptible Genes for Thyroid Cancer Based on Gene Interaction Network |
| title_full_unstemmed | Prioritizing Susceptible Genes for Thyroid Cancer Based on Gene Interaction Network |
| title_short | Prioritizing Susceptible Genes for Thyroid Cancer Based on Gene Interaction Network |
| title_sort | prioritizing susceptible genes for thyroid cancer based on gene interaction network |
| topic | thyroid cancer gene interaction genetic testing Adaboost deep neural network |
| url | https://www.frontiersin.org/articles/10.3389/fcell.2021.740267/full |
| work_keys_str_mv | AT linkunzhong prioritizingsusceptiblegenesforthyroidcancerbasedongeneinteractionnetwork AT changlianxie prioritizingsusceptiblegenesforthyroidcancerbasedongeneinteractionnetwork AT shanjiang prioritizingsusceptiblegenesforthyroidcancerbasedongeneinteractionnetwork AT xingyandeng prioritizingsusceptiblegenesforthyroidcancerbasedongeneinteractionnetwork AT xiaoxionggan prioritizingsusceptiblegenesforthyroidcancerbasedongeneinteractionnetwork AT jianhuafeng prioritizingsusceptiblegenesforthyroidcancerbasedongeneinteractionnetwork AT wensongcai prioritizingsusceptiblegenesforthyroidcancerbasedongeneinteractionnetwork AT chizhuailiu prioritizingsusceptiblegenesforthyroidcancerbasedongeneinteractionnetwork AT feishen prioritizingsusceptiblegenesforthyroidcancerbasedongeneinteractionnetwork AT jianhangmiao prioritizingsusceptiblegenesforthyroidcancerbasedongeneinteractionnetwork AT boxu prioritizingsusceptiblegenesforthyroidcancerbasedongeneinteractionnetwork |