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Guo L, Huang Y, He J, Li D, Li W, Xiao H, Xu X, Zhang Y, Wang R. Associations of lifestyle characteristics with circulating immune markers in the general population based on NHANES 1999 to 2014. Sci Rep 2024; 14:13444. [PMID: 38862546 PMCID: PMC11166635 DOI: 10.1038/s41598-024-63875-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 06/03/2024] [Indexed: 06/13/2024] Open
Abstract
Lifestyles maybe associated with the immune and inflammatory state of human body. We aimed to comprehensively explore the relationship between lifestyles and circulating immune-inflammatory markers in the general population. Data from NHANES 1999-2014 was used. Lifestyle factors included leisure-time physical activity (LTPA), diet quality (Healthy Eating Index-2015, HEI-2015), alcohol consumption, cigarettes smoking, sleep hour and sedentary time. Immune makers included C-reactive protein (CRP), neutrophil-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), platelet-lymphocyte ratio (PLR) and monocyte-lymphocyte ratio (MLR). Generalized linear regression models were used to adjust confounders. Regressions of restricted cubic splines were utilized to evaluate the potentially non-linear relationships between exposures and outcomes. As results, HEI was negatively associated with CRP (P < 0.001), SII (P < 0.001), and NLR (P < 0.001). Cigarettes per day was positively associated with CRP (P < 0.001), SII (P < 0.001), and NLR (P = 0.008). Alcohol consumption was negatively associated with CRP (P < 0.001), but positively associated with PLR (P = 0.012) and MLR (P < 0.001). Physical activity was negatively associated with CRP (P < 0.001), SII (P = 0.005), and NLR (P = 0.002), but positively associated with PLR (P = 0.010). Participants with higher healthy lifestyle score had significantly lower CRP, SII and NLR (all P values < 0.05). Most of the sensitivity analyses found similar results. In conclusion, we found significant associations between lifestyles and immune markers in the general population, which may reflect a systemic inflammatory response to unhealthy lifestyles.
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Affiliation(s)
- Linfen Guo
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, 37 Guoxuexiang, Chengdu, 610041, China
| | - Yating Huang
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, 37 Guoxuexiang, Chengdu, 610041, China
| | - Jing He
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, 37 Guoxuexiang, Chengdu, 610041, China
| | - Deng Li
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, 37 Guoxuexiang, Chengdu, 610041, China
| | - Wei Li
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, 37 Guoxuexiang, Chengdu, 610041, China
| | - Haitao Xiao
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, 37 Guoxuexiang, Chengdu, 610041, China
| | - Xuewen Xu
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, 37 Guoxuexiang, Chengdu, 610041, China
| | - Yange Zhang
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, 37 Guoxuexiang, Chengdu, 610041, China.
| | - Ru Wang
- Department of Plastic and Burns Surgery, West China Hospital, Sichuan University, 37 Guoxuexiang, Chengdu, 610041, China.
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Qin Y, Liu L, Zhao S, Wang W, Han M, Dong S, Miao Y, Zhao S, Tang S, Wu Z, Zhang B, Liu A. Blood inflammatory biomarkers predict in-hospital pneumonia after endovascular treatment of aneurysm in patients with aneurysmal subarachoid hemorrhage. Neurosurg Rev 2023; 46:171. [PMID: 37436536 DOI: 10.1007/s10143-023-02082-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/25/2023] [Accepted: 07/04/2023] [Indexed: 07/13/2023]
Abstract
The systemic inflammatory response index (SIRI) is a well-known marker of systemic inflammation reflecting the body's inflammatory/immune state. The study aimed to evaluate the relationship between the SIRI on admission and aneurysmal subarachnoid hemorrhage (aSAH)-associated pneumonia and compare with other currently used bio-markers. We reviewed 562 successive patients with aneurysmal SAH who underwent endovascular treatment between January 2019 and September 2021. ASAH-associated pneumonia was diagnosed using the modified Centers for Disease Control and Prevention criteria. The SIRI on admission was calculated as monocyte count × neutrophil count / lymphocyte count. Multiple logistic regression models were used for data analysis. A total of 158 (28.11%) patients developed aSAH-associated pneumonia. Using the Multiple logistic regression analysis, a notable dose-response association was found between the elevated SIRI (fourth quartile) and aSAH-associated pneumonia (adjusted odds ratio = 6.759; 95% confidence interval [CI], 3.280-13.930; p < 0.001 [p for trend < 0.001]). The SIRI (0.701, 95% CI: 0.653-0.749) presented a higher area under the curve (AUC) than systemic immune- inflammation index (SII) (0.669, 95% CI: 0.620-0.718) (p = 0.089); neutrophil-to-lymphocyte ratio (NLR) (0.665, 95% CI: 0.616-0.714) (p = 0.035) and platelet-lymphocyte ratio (PLR) (0.587, 95% CI: 0.534-0.641) (p < 0.001). A higher SIRI on admission was associated with aSAH-associated pneumonia, which may guide further clinical trials of prophylactic antibiotic therapy.
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Affiliation(s)
- Yongkai Qin
- Department of Neurosurgery, The Third Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
| | - Lang Liu
- Department of Neurosurgery, The Third Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
| | - Shangfeng Zhao
- Department of Neurosurgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
| | - Wei Wang
- Department of Neurosurgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China
| | - Mingyang Han
- Department of Neurosurgery, The Third Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
| | - Siyuan Dong
- Department of Neurosurgery, The Third Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
| | - Yan Miao
- Department of Neurology, The Third Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
| | - Songfeng Zhao
- Department of Neurosurgery, The Third Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
| | - Shenkun Tang
- Department of Neurosurgery, The Third Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China
| | - Zhongxue Wu
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Baorui Zhang
- Department of Neurosurgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
| | - Aihua Liu
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
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Wang P, Wang S, Sun Z, Li H, Zhao Y, Li Y, Yang F, Wang J, Chen K, Qiu M, Li X. Systemic inflammation influences the prognosis of patients with radically resected non-small cell lung cancer and correlates with the immunosuppressive microenvironment. Int J Cancer 2023. [PMID: 37186387 DOI: 10.1002/ijc.34547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/27/2023] [Accepted: 04/11/2023] [Indexed: 05/17/2023]
Abstract
The impact of host condition on prognosis of non-small cell lung cancer (NSCLC) and the interaction between host and NSCLC remain unclear. This study investigated the association between systemic inflammation and prognosis and characteristics of radically resected NSCLC. This study consisted of a cohort study and an exploratory study of institutional prospective databases. All participants underwent video-assisted thoracoscopic lobectomy as the primary treatment. Systemic inflammation was assessed before surgery using the advanced lung cancer inflammation index and the systemic inflammation response index. Next-generation sequencing and multiplex immunofluorescence analysis were conducted to delineate tumor characteristics. In the cohort study including 1507 participants, high inflammation was associated with poor disease-free survival and overall survival before and after propensity score matching and in multivariable analysis. Systemic inflammation showed good prognostic value for stage IA-IB NSCLC, and the prognostic value diminished with upstaging of NSCLC. In the exploratory study including 217 adenocarcinomas, tumor microenvironment of high inflammation group showed a greater abundance of PDL1+ tumor cells and immune cells, which were independent from driver gene mutations and clinicopathological characteristics. Spatial analysis demonstrated a higher frequency of immune-suppressed cellular neighborhood, increased avoidance between immune cells and PDL1- tumor cells and compromised immune killing and presentation in tumor microenvironment of high inflammation group. Systemic inflammation showed limited association with genomic mutations. Systemic inflammation may influence the prognosis of NSCLC at both the systematic level and the local immune response. The correlation between high inflammation and immunosuppressive microenvironment indicates a novel thread for anticancer treatment.
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Affiliation(s)
- Peiyu Wang
- Thoracic Oncology Institute/Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Shaodong Wang
- Thoracic Oncology Institute/Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Zewen Sun
- Thoracic Oncology Institute/Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Hao Li
- Thoracic Oncology Institute/Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Yaxing Zhao
- Infinity Scope Biotechnology Co. Ltd., Hangzhou, China
| | - Yun Li
- Thoracic Oncology Institute/Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Fan Yang
- Thoracic Oncology Institute/Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Jun Wang
- Thoracic Oncology Institute/Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Kezhong Chen
- Thoracic Oncology Institute/Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Mantang Qiu
- Thoracic Oncology Institute/Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
| | - Xiao Li
- Thoracic Oncology Institute/Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China
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Identification and Validation a Necroptosis-Related Prognostic Signature in Cervical Cancer. Reprod Sci 2022; 30:2003-2015. [PMID: 36576713 DOI: 10.1007/s43032-022-01155-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/13/2022] [Indexed: 12/29/2022]
Abstract
Necroptosis is a promising novel target for cervical cancer therapy. Nevertheless, differentially expressed necroptosis-related genes (NRGs) in cervical cancer and their associations with prognosis are far from fully clarified. In this study, differentially expressed NRGs (DE-NRGs) were screened out and their bio-function was elucidated. Subsequently, a prognostic scoring model based on the regression coefficients of the screened out NRGs and their corresponding mRNA expressions were constructed and validated. Finally, the survival probability of cervical cancer patients based on the constructed prognostic scoring model in 3 and 5 years was predicted and assessed. We found 17 DE-NRGs in cervical cancer tissues which were closely related to cancer progression, and most of them were significantly highly expressed. Furthermore, 3 NRG were confirmed as the prognostic signature genes from 17 DE-NRGs by regression analysis. Overall survival predicted through our prognostic scoring model was lower in the high-risk group than in the low-risk group (p < 0.05) in both the TCGA cohort and the external GEO44001 validation cohort. What's more, the prediction performance of our prognostic scoring models well verified by the ROC curve, and the risk score calculated could act as an independent prognostic factor for cervical cancer patients. The calibration curve and C-index (0.776) of the nomogram analysis suggested that the predictive performance of the nomogram was satisfactory. Our study identified and validated a necroptosis-related prognostic signature in cervical cancer, which could well predict the prognosis for cervical cancer patients.
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Development of an Independent Prognostic Signature Based on Three Hypoxia-Related Genes for Breast Cancer. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:2974126. [DOI: 10.1155/2022/2974126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 09/29/2022] [Accepted: 10/08/2022] [Indexed: 11/06/2022]
Abstract
Background. Hypoxia was considered to be a prognostic indicator in a variety of solid tumors. This study aims at identifying the hypoxia-related genes (HRGs) in breast cancer (BC) and the feasibility of HRGs as a prognostic indicator. Methods. We downloaded the mRNA expression data of BC patients from TCGA and GEO databases. The LASSO Cox regression analysis was applied to screen the hub HRGs to establish a prognostic Risk Score. The independence of Risk Score was assessed by multivariate Cox regression analysis. And the immune checkpoint analysis was also performed. In addition, we also detected the expression level of hub HRGs in MCF-10A cells, MCF-7 cells, and SK-BR-3 cells by RT-qPCR. Results. Three HRGs were identified as hub genes with prognostic value in BC, including CA9, PGK1, and SDC1. The Risk Score constructed by these three genes could efficiently distinguish the prognosis of different BC patients and has been shown to be an independent prognostic indicator. In the high-risk group, patients had lower overall survival and poorer prognosis. In addition, the expression levels of five immune checkpoints (PD1, CTLA4, TIGIT, LAG3, and TIM3) in the high-risk group were significantly higher than those in the low-risk group. Moreover, the expression levels of PGK1 and SDC1 in BC cells were significantly increased. Conclusion. In this study, we established an efficiently model based on three optimal HRGs (CA9, PGK1, and SDC1) could clearly distinguish the prognosis of different BC patients.
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Wang M, Huang H, Xu Z, Li Z, Shen L, Yu Y, Lu S. Proposal for multiple new lesions as complement of hyperprogressive disease in NSCLC patients treated with PD-1/PD-L1 immunotherapy. Lung Cancer 2022; 173:28-34. [PMID: 36116167 DOI: 10.1016/j.lungcan.2022.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/28/2022] [Accepted: 09/01/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND Hyperprogressive disease (HPD) is a progression pattern of rapid increase in tumor burden during immunotherapy. However, current HPD definitions are mainly based on the diameter of target lesions. How to take new lesions into account remains unknown. METHODS In this retrospectively analysis, 393 patients received PD-1/PD-L1 inhibitors monotherapy. 237 patients were eligible for HPD evaluation based on tumor growth rate (TGR) ratio, ΔTGR or tumor growth kinetic (TGK) ratio. Among them, 214 patients were eligible for evaluation of new lesions. The impact of new lesions on overall survival (OS) was investigated by Kaplan-Meier methods. The optimal threshold for new lesion number was investigated by one-year time-dependent receiver operating characteristic (ROC) curves. Developing more than one new lesions (n ≥ 2) was defined as multiple new lesions (MNL). New HPD was redefined as both developing MNL and meeting the requirement of current HPD definitions (TGR ratio, ΔTGR or TGK ratio). The survival difference between the newly defined HPD and non-HPD patients was investigated. RESULTS HPD occurred in 5.1-18.1 % patient based on current definitions (TGR ratio, 15.6 %; ΔTGR, 5.1 %; TGK ratio, 18.1 %). However, there is no significant difference between OS of HPD and non-HPD patient. New lesion was associated with a shorter median OS in PD(with or without HPD) patients (6.1 vs 18.9 months, p = 0.001). Time-dependent ROC analysis suggested that the optimal threshold for new lesion number in survival prediction was two. After the redefinition of HPD, New HPD patients had a significantly shorter median OS compared with non-HPD patients (TGR ratio with MNL: 5.6 vs 11.8 months, p < 0.001; ΔTGR with MNL: 5.0 vs 11.4 months, p = 0.034; TGK ratio with MNL: 5.7 vs 12.3 months, p < 0.001; respectively). CONCLUSIONS Current HPD definitions had a better prognostic value when complemented with MNL. MNL should be integrated into the new definition of HPD.
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Affiliation(s)
- Mengxiao Wang
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Huayan Huang
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Zhangwendi Xu
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Ziming Li
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Lan Shen
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Yongfeng Yu
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Shun Lu
- Department of Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
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Wei YH, Wang Y, Li H, Wang CJ, Liu SR, Huang ZL, Wang GN, Tao YL, Xia YF. A Nomogram to Predict Survival in Patients With Locoregional Recurrent Nasopharyngeal Carcinoma Receiving Comprehensive Treatment. Front Oncol 2022; 12:892510. [PMID: 35785157 PMCID: PMC9243306 DOI: 10.3389/fonc.2022.892510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/16/2022] [Indexed: 12/24/2022] Open
Abstract
ObjectiveThis study aimed to establish a prognostic stratified model of chemotherapy-based comprehensive treatment for patients with locoregional recurrent nasopharyngeal carcinoma (lrNPC), to help individualized treatment decision-making.Materials and MethodsThis study retrospectively reviewed patients with lrNPC who received chemotherapy-based comprehensive treatment from January 1, 2010, to December 31, 2018. A total of 422 eligible patients were divided into test (n = 338) and validation (n = 84) cohorts. A LASSO cox regression model was used to identify significant prognostic factors for overall survival (OS) in the test cohort. A nomogram was then developed based on a combined consideration of clinically meaningful prognostic factors and statistically significant prognostic factors. The performance of the nomogram was assessed with Harrell’s concordance index (C-index) and calibration plots.ResultsFive significant factors were identified: age, albumin (ALB), T stage after recurrent (rT), neutrophil to lymphocyte ratio (NLR), and systematic immune-inflammation index (SII). The nomogram was established with these five factors. C-index was 0.636 in the test cohort and 0.610 in the validation cohort. The calibration curves for the OS rate at 3, and 5 years showed an excellent agreement in both cohorts. In addition, the corresponding risk classification system successfully classified patients into low- and high-risk groups and performed well in stratification (P < 0.001).ConclusionsThe nomogram shows well prognostic performance for lrNPC patients receiving chemotherapy-based comprehensive treatment.
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Affiliation(s)
- Ying-Hong Wei
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ying Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - He Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Chi-jie Wang
- Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Song-Ran Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Zi-Lu Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Guan-Nan Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Head & Neck Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ya-Lan Tao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
- *Correspondence: Yun-Fei Xia, ; Ya-Lan Tao,
| | - Yun-Fei Xia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
- *Correspondence: Yun-Fei Xia, ; Ya-Lan Tao,
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