Identification of nine mutant genes and establishment of three prediction models of organ tropism metastases of non‐small cell lung cancer
Abstract Background Most Non‐small cell lung cancer (NSCLC) patients tend to have metastases at the initial diagnosis. However, limited knowledge has been established regarding which factors, are associated with its metastases. This study aims to identify more biomarkers associated with its organ tr...
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2023-02-01
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| Series: | Cancer Medicine |
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| Online Access: | https://doi.org/10.1002/cam4.5233 |
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| author | Shuchen Chen Wanyi Huang Zhenzhen Liu Meizi Jin Jielin Li Lihui Meng Ting Li Yuzhu Diao Hong Gao Chengyu Hong Jian Zheng Fei Li Yue Zhang Dan Bi Lin Teng Xiaoling Li |
| author_facet | Shuchen Chen Wanyi Huang Zhenzhen Liu Meizi Jin Jielin Li Lihui Meng Ting Li Yuzhu Diao Hong Gao Chengyu Hong Jian Zheng Fei Li Yue Zhang Dan Bi Lin Teng Xiaoling Li |
| author_sort | Shuchen Chen |
| collection | DOAJ |
| description | Abstract Background Most Non‐small cell lung cancer (NSCLC) patients tend to have metastases at the initial diagnosis. However, limited knowledge has been established regarding which factors, are associated with its metastases. This study aims to identify more biomarkers associated with its organ tropism metastasis and to establish models for prediction of its metastatic organs. Methods We performed targeted next‐generation sequencing (NGS) to detect genes related to lung cancer in 272 patients with primary advanced NSCLC from Northeast China. We adopted Fisher test, multivariate logistic regression analysis to identify metastasis‐related gene mutations and to establish prediction models. Results Mutations of EGFR (p = 0.0003, OR = 2.554) (especially EGFR L858R [p = 0.02, OR = 2.009]), ATM (p = 0.008, OR = 11.032), and JAK2 (p = 0.009, OR = Inf) were positively and of TP53 exon4mut (p = 0.001, OR = 0.173) was negatively correlated with lung metastasis, and those of CSF1R (p = 0.01, OR = Inf), KIT (p = 0.03, OR = 4.746), MYC (p = 0.05, OR = 7.938), and ERBB2 (p = 0.02, OR = 2.666) were positively correlated with pleural dissemination; those of TP53 (p = 0.01, OR = 0.417) was negatively, while of SMAD4 (p = 0.03, OR = 4.957) was positively correlated with brain metastasis of NSCLC. Additionally, smoking history (p = 0.004, OR = 0.004) was negatively correlated with pleural dissemination of NSCLC. Furthermore, models for prediction of lung metastasis (AUC = 0.706), pleural dissemination (AUC = 0.651), and brane metastasis (AUC = 0.629) were established. Conclusion Taken together, this study revealed nine mutant genes and smoking history associated with organ tropism metastases of NSCLC and provided three models for the prediction of metastatic organs. This study enables us to predict the organs to which non‐small cell lung cancer metastasizes before it does develop. |
| format | Article |
| id | doaj-art-7055b3b9de66411b9f19f752099a797f |
| institution | Kabale University |
| issn | 2045-7634 |
| language | English |
| publishDate | 2023-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Medicine |
| spelling | doaj-art-7055b3b9de66411b9f19f752099a797f2024-11-25T07:56:32ZengWileyCancer Medicine2045-76342023-02-011233089310010.1002/cam4.5233Identification of nine mutant genes and establishment of three prediction models of organ tropism metastases of non‐small cell lung cancerShuchen Chen0Wanyi Huang1Zhenzhen Liu2Meizi Jin3Jielin Li4Lihui Meng5Ting Li6Yuzhu Diao7Hong Gao8Chengyu Hong9Jian Zheng10Fei Li11Yue Zhang12Dan Bi13Lin Teng14Xiaoling Li15Department of Thoracic Medicine, Cancer Hospital of China Medical University Liaoning Cancer Hospital and Institute Shenyang ChinaSchool and Hospital of Stomatology China Medical University, Liaoning Provincial Key Laboratory of Oral Diseases Shenyang ChinaDepartment of Thoracic Medicine, Cancer Hospital of China Medical University Liaoning Cancer Hospital and Institute Shenyang ChinaDepartment of Thoracic Medicine, Cancer Hospital of China Medical University Liaoning Cancer Hospital and Institute Shenyang ChinaDepartment of Thoracic Medicine, Cancer Hospital of China Medical University Liaoning Cancer Hospital and Institute Shenyang ChinaDepartment of Thoracic Medicine, Cancer Hospital of China Medical University Liaoning Cancer Hospital and Institute Shenyang ChinaDepartment of Thoracic Medicine, Cancer Hospital of China Medical University Liaoning Cancer Hospital and Institute Shenyang ChinaDepartment of Thoracic Medicine, Cancer Hospital of China Medical University Liaoning Cancer Hospital and Institute Shenyang ChinaDepartment of Thoracic Medicine, Cancer Hospital of China Medical University Liaoning Cancer Hospital and Institute Shenyang ChinaDepartment of Thoracic Medicine, Cancer Hospital of China Medical University Liaoning Cancer Hospital and Institute Shenyang ChinaDepartment of Thoracic Medicine, Cancer Hospital of China Medical University Liaoning Cancer Hospital and Institute Shenyang ChinaDepartment of Thoracic Medicine, Cancer Hospital of China Medical University Liaoning Cancer Hospital and Institute Shenyang ChinaHangzhou Jichenjunchuang Medical Laboratory Co. Ltd. Hangzhou ChinaHangzhou Jichenjunchuang Medical Laboratory Co. Ltd. Hangzhou ChinaHangzhou Jichenjunchuang Medical Laboratory Co. Ltd. Hangzhou ChinaDepartment of Thoracic Medicine, Cancer Hospital of China Medical University Liaoning Cancer Hospital and Institute Shenyang ChinaAbstract Background Most Non‐small cell lung cancer (NSCLC) patients tend to have metastases at the initial diagnosis. However, limited knowledge has been established regarding which factors, are associated with its metastases. This study aims to identify more biomarkers associated with its organ tropism metastasis and to establish models for prediction of its metastatic organs. Methods We performed targeted next‐generation sequencing (NGS) to detect genes related to lung cancer in 272 patients with primary advanced NSCLC from Northeast China. We adopted Fisher test, multivariate logistic regression analysis to identify metastasis‐related gene mutations and to establish prediction models. Results Mutations of EGFR (p = 0.0003, OR = 2.554) (especially EGFR L858R [p = 0.02, OR = 2.009]), ATM (p = 0.008, OR = 11.032), and JAK2 (p = 0.009, OR = Inf) were positively and of TP53 exon4mut (p = 0.001, OR = 0.173) was negatively correlated with lung metastasis, and those of CSF1R (p = 0.01, OR = Inf), KIT (p = 0.03, OR = 4.746), MYC (p = 0.05, OR = 7.938), and ERBB2 (p = 0.02, OR = 2.666) were positively correlated with pleural dissemination; those of TP53 (p = 0.01, OR = 0.417) was negatively, while of SMAD4 (p = 0.03, OR = 4.957) was positively correlated with brain metastasis of NSCLC. Additionally, smoking history (p = 0.004, OR = 0.004) was negatively correlated with pleural dissemination of NSCLC. Furthermore, models for prediction of lung metastasis (AUC = 0.706), pleural dissemination (AUC = 0.651), and brane metastasis (AUC = 0.629) were established. Conclusion Taken together, this study revealed nine mutant genes and smoking history associated with organ tropism metastases of NSCLC and provided three models for the prediction of metastatic organs. This study enables us to predict the organs to which non‐small cell lung cancer metastasizes before it does develop.https://doi.org/10.1002/cam4.5233gene mutationsNGSNSCLCorgan tropism metastasesprediction modeltargeted therapy |
| spellingShingle | Shuchen Chen Wanyi Huang Zhenzhen Liu Meizi Jin Jielin Li Lihui Meng Ting Li Yuzhu Diao Hong Gao Chengyu Hong Jian Zheng Fei Li Yue Zhang Dan Bi Lin Teng Xiaoling Li Identification of nine mutant genes and establishment of three prediction models of organ tropism metastases of non‐small cell lung cancer Cancer Medicine gene mutations NGS NSCLC organ tropism metastases prediction model targeted therapy |
| title | Identification of nine mutant genes and establishment of three prediction models of organ tropism metastases of non‐small cell lung cancer |
| title_full | Identification of nine mutant genes and establishment of three prediction models of organ tropism metastases of non‐small cell lung cancer |
| title_fullStr | Identification of nine mutant genes and establishment of three prediction models of organ tropism metastases of non‐small cell lung cancer |
| title_full_unstemmed | Identification of nine mutant genes and establishment of three prediction models of organ tropism metastases of non‐small cell lung cancer |
| title_short | Identification of nine mutant genes and establishment of three prediction models of organ tropism metastases of non‐small cell lung cancer |
| title_sort | identification of nine mutant genes and establishment of three prediction models of organ tropism metastases of non small cell lung cancer |
| topic | gene mutations NGS NSCLC organ tropism metastases prediction model targeted therapy |
| url | https://doi.org/10.1002/cam4.5233 |
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