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146 results on '"Liang, Zhong-Guo"'

5. Public Opinion Sentiment Big Data Analysis Ensemble Method Based on Spark

Author

DAI Hong-liang, ZHONG Guo-jin, YOU Zhi-ming , DAI Hong-ming

Subjects
sentiment analysis, public opinion, chinese social media, spark, stacking, Computer software, QA76.75-76.765, Technology (General), T1-995
Abstract

With the development of mobile Internet technology,social media has become the main approach for the public to share views and express their emotions.Sentiment analysis for social media texts in major social events can effectively monitor public opinion.In order to solve the problem of low accuracy and efficiency of existing Chinese social media sentiment analysis algorithms,an ensemble sentiment analysis big data method(S-FWS) based on Spark distributed system is proposed.Firstly,the new words are found by calculating the PMI association degree after pre-segmentation by Jieba library.Then,the text features are extracted by considering the importance of words and feature selection is realized by Lasso.Finally,in order to improve the traditional Stacking framework neglecting the feature importance,the accuracy information of the primary learners is used to weight the probabilistic features,and the polynomial features are constructed to train the secondary learner.A variety of algorithms are introduced in the stand-alone mode and the Spark platform receptively to carry out comparative experiments.Results show that the S-FWS method proposed in this paper has certain advantages in accuracy and time consumption;distributed system can greatly improve the operating efficiency of the algorithms,and with the increase of working nodes,the time consumption of the algorithms gradually decreases.

Published
2021
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6. High-Dimensional Characterization of the Systemic Immune Landscape Informs on Synergism Between Radiation Therapy and Immune Checkpoint Blockade

Author

Chua, Kevin L.M., Fehlings, Michael, Yeo, Eugenia L.L., Nardin, Alessandra, Sumatoh, Hermi, Chu, Pek Lim, Nei, Wen-long, Ong, Enya H.W., Woo, Wai Yee, Low, Kar Perng, Wang, Haitao, Poon, Dennis J.J., Liang, Zhong-guo, Yao, Kai, Huang, Luo, Toh, Chee Keong, Ang, Mei-Kim, Farid, Mohamad, Cheng, Xin Min, Kanesvaran, Ravindran, Dent, Rebecca, Wee, Joseph T.S., Lim, Tony K.H., Iyer, N. Gopalakrishna, Tan, Daniel S.W., Soo, Khee Chee, Newell, Evan W., and Chua, Melvin L.K.

Published
2020
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14. Individualized number of induction chemotherapy cycles for locoregionally advanced nasopharyngeal carcinoma patients based on early tumor response.

Author

Jiang, Yu‐Ting, Chen, Kai‐Hua, Liang, Zhong‐Guo, Yang, Jie, Qu, Song, Li, Ling, and Zhu, Xiao‐Dong

Subjects
INDUCTION chemotherapy, NASOPHARYNX cancer, PROPENSITY score matching, SURVIVAL rate, NASOPHARYNX tumors, TUMOR classification
Abstract

Background: The optimal number of cycles of induction chemotherapy (IC) in locoregionally advanced nasopharyngeal carcinoma (LANPC) is unclear. We aimed to combine the tumor response during IC and tumor stage to individualize the number of IC cycles. Methods: Totally, 498 LANPC patients who received IC plus CCRT between 2014 and 2018 were reviewed. Tumor response during IC was used to stratify patients with different risks. All patients were classified into those who received two cycles of IC and those who were treated with three cycles. Propensity score matching methods were performed to compare the treatment efficiency. Results: After two cycles of IC, 340/498 (68.3%) cases showed complete tumor response (CR)/partial response (PR) and 158 (31.7%) achieved stable disease (SD)/disease progression (PD). Unfavorable responders (SD/PD) exhibited poor survival outcomes. The three‐cycle IC regimen was correlated with better OS and PFS than the two‐cycle regimen for N2‐3 patients in the CR/PR group. However, the use of different IC cycle strategies achieved similar survival outcomes for SD/PD or N0‐1 patients. The incidences of acute toxicities were higher in the IC = 3 group. Conclusions: Tumor response during IC could be a powerful predictor of LANPC and could be used to guide the individualized number of IC cycles. A three‐cycle IC regimen seemed to be preferable for N2‐3 patients who received CR/PR during IC. However, an additional cycle of IC could not benefit N0‐1 or SD/PD patients, and the optimal treatment strategies for these patients require further consideration. [ABSTRACT FROM AUTHOR]

Published
2023
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17. Amyloid Beta (A4) Precursor Protein: A Potential Biomarker for Recurrent Nasopharyngeal Carcinoma

Author

Li, Xiao-Yu, Meng, Hui-Ling, Li, Kai-Guo, Yang, Xiao-Hui, Zhu, Xiao-Dong, Li, Ling, Liang, Zhong-Guo, Pan, Xin-Bin, Zeng, Fan-Yan, and Qu, Song

Subjects
protein–protein interaction, amyloid beta precursor protein, Cancer Management and Research, biomarker, enzyme-linked immunosorbent assay, recurrent nasopharyngeal carcinoma, Original Research
Abstract

Xiao-Yu Li,1,* Hui-Ling Meng,2,* Kai-Guo Li,1 Xiao-Hui Yang,1 Xiao-Dong Zhu,1,3 Ling Li,1 Zhong-Guo Liang,1 Xin-Bin Pan,1 Fan-Yan Zeng,1 Song Qu1,3 1Department of Radiation Oncology, Affiliated Cancer Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530021, People’s Republic of China; 2Department of Radiation Oncology, Liuzhou People’s Hospital, Liuzhou, Guangxi 545000, People’s Republic of China; 3Key Laboratory of High-Incidence-Tumor Prevention & Treatment, Guangxi Medical University, Ministry of Education, Nanning, Guangxi 530021, People’s Republic of China*These authors contributed equally to this workCorrespondence: Song QuDepartment of Radiation Oncology, Affiliated Cancer Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi 530021, People’s Republic of ChinaEmail 13607887386@163.comBackground and Aim: Nasopharyngeal carcinoma (NPC) is one of the most common cancers in Southern China, Southeast Asia. Radiotherapy is the main treatment for NPC. Still, about 20% of patients with NPC have a recurrence. No effective serum biomarkers are available for recurrent nasopharyngeal carcinoma (rNPC) to date. This study aimed to explore whether amyloid beta (A4) precursor protein (APP) might serve as a valuable diagnostic and prognostic biomarker for patients with rNPC.Methods: In a previous study, a tandem mass tag–based proteomic test was performed, which screened 59 differentially expressed proteins (DEPs) between nonrecurrent nasopharyngeal carcinoma (nrNPC) and rNPC. In this study, a protein–protein interaction was conducted to screen the key proteins among the 59 DEPs. APP was validated and evaluated by enzyme-linked immunosorbent assay in 70 serum samples [recurrence (n = 35) and no-recurrence (n = 35)]. Also, the receiver operating characteristic (ROC) curve was plotted to evaluate the predictive value of APP.Results: The area under the ROC curve was 0.666 (95% CI: 0.514–0.818, P = 0.044). The best cutoff point of the relative expression levels for APP was 1.23 (concentration = 16.95 ng/mL), at which the sensitivity was 55.2% and the specificity was 90.9%.Conclusion: The findings indicated that APP might be a valuable diagnostic and prognostic biomarker for patients with rNPC.Keywords: amyloid beta precursor protein, biomarker, enzyme-linked immunosorbent assay, protein–protein interaction, recurrent nasopharyngeal carcinoma

Published
2019

27. Nomogram Based on Lactate Dehydrogenase-to-Albumin Ratio (LAR) and Platelet-to-Lymphocyte Ratio (PLR) for Predicting Survival in Nasopharyngeal Carcinoma

Author

Peng,Ru-Rong, Liang,Zhong-Guo, Chen,Kai-Hua, Li,Ling, Qu,Song, Zhu,Xiao-Dong, Peng,Ru-Rong, Liang,Zhong-Guo, Chen,Kai-Hua, Li,Ling, Qu,Song, and Zhu,Xiao-Dong

Abstract

Ru-Rong Peng,1 Zhong-Guo Liang,1 Kai-Hua Chen,1 Ling Li,1 Song Qu,1 Xiao-Dong Zhu1,2 1Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China; 2Department of Oncology, Affiliated Wu-Ming Hospital of Guangxi Medical University, Nanning, People’s Republic of ChinaCorrespondence: Xiao-Dong ZhuDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, 71 He-di Road, Nanning, 530021, People’s Republic of ChinaTel +86 15778028340Email zhuxdonggxmu@126.comPurpose: The prognosis of inflammation-related indicators like lactate dehydrogenase/albumin ratio (LAR) and the platelet/lymphocyte ratio (PLR) in nasopharyngeal carcinoma (NPC) is not yet clear. Our objective is to establish and verify the nomogram using LAR and PLR ratio for the first time to explore the prognostic value in NPC.Patients and Methods: This was a retrospective collection of 1661 patients with non-metastatic NPC admitted to our hospital from 2010 to 2017. The final variables of overall survival (OS) and progression-free survival (PFS) were selected by Cox regression analysis to establish nomograms, and the methods to verify the prediction precision and discriminative ability of the nomograms were concordance index (C index), the receiver operating characteristic (ROC) curve and calibration curve. The risk stratification was carried out through the nomograms and compared with the current staging system by the Kaplan–Meier methods.Results: Multivariate Cox analysis resulted that age, plasma Epstein–Barr Virus (EBV) DNA, T stage, N stage, white blood cells (WBC), PLR and LAR were independent prognostic risk factors for OS and PFS, and sex is an independent prognostic risk factor for OS. The C-indexes of OS nomogram were 0.722 (95% CI: 0.706– 0.738) and 0.747 (95% CI: 0.717– 0.777) in the training cohort and validation cohort, which were statistically higher than th

Published
2021

28. The Double-Edge Role of the Addition of Adjuvant Chemotherapy to Concurrent Chemoradiotherapy in the Treatment of Nasopharyngeal Carcinoma

Author

Liang,Zhong-Guo, Zhang,Fan, Yu,Bin-Bin, Li,Ling, Qu,Song, Li,Ye, Guan,Ying, Liang,Ren-Ba, Han,Lu, and Zhu,Xiao-Dong

Subjects
Cancer Management and Research
Abstract

Zhong-Guo Liang,1,* Fan Zhang,2,* Bin-Bin Yu,1,* Ling Li,1 Song Qu,1 Ye Li,1 Ying Guan,1 Ren-Ba Liang,1 Lu Han,1 Xiao-Dong Zhu1 1Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China; 2Microbiome Research Centre, St George and Sutherland Clinical School, The University of New South Wales Sydney, St George Hospital, Kogarah, NSW, Australia*These authors contributed equally to this workCorrespondence: Xiao-Dong ZhuDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, 71 He Di Road, Nanning 530021, People’s Republic of ChinaTel +86-771-5331466Email zhuxdonggxmu@126.comPurpose: To construct a prognostic index (PI) for overall survival (OS) to stratify nasopharyngeal carcinoma (NPC) into high-risk and low-risk groups. We also applied the model to investigate the role of the addition of adjuvant chemotherapy (AC) to concurrent chemoradiotherapy (CCRT) regimens for the treatment of NPC.Methods: A prognostic model was established based on a retrospective study of 362 patients from January 2008 to June 2011. The discriminative and calibration abilities of the model were evaluated by Harrell’s concordance index (C-index), and calibration curves. Bootstrapping was used to perform for internal validation. External validation was conducted using 324 patients diagnosed with NPC from July 2011 to December 2012 at the same institution. Survival analyses were performed between CCRT-AC and CCRT alone groups for the high-risk and low-risk groups.Results: The primary PI comprised covariates that were associated with OS in the training cohort, including T stage, N stage, age, and plasma alkaline phosphatase (ALP). Internal and external validation showed that the discrimination of the PI for OS was significantly better than that of the 8th edition AJCC staging system. Discretization by using a fixed PI score cut-off of 407.96 determined from the training data set yielded high- and low-risk subgroups with distinct OS outcomes in the validation cohort. Adjuvant chemotherapy improved OS in high-risk patients (HR 0.620, 95% CI 0.408 to 0.941; P = 0.023) but increased the risk of distant metastasis (HR, 4.222, 95% CI, 0.959 to 18.585; P = 0.038) in low-risk patients.Conclusion: The proposed prognostic model achieved good prediction and calibration of OS for patients with NPC. The addition of adjuvant chemotherapy might be a double-edged sword, bringing survival benefit to high-risk patients but greater risk of distant metastasis to low-risk patients.Keywords: nasopharyngeal carcinoma, prognostic model, concurrent chemoradiotherapy, adjuvant chemotherapy

Published
2020

29. Efficiency of high cumulative cisplatin dose in high‐ and low‐risk patients with locoregionally advanced nasopharyngeal carcinoma.

Author

Jiang, Yu‐Ting, Chen, Kai‐Hua, Yang, Jie, Liang, Zhong‐Guo, Li, Ling, Qu, Song, and Zhu, Xiao‐Dong

Subjects
NASOPHARYNX cancer, CISPLATIN, PROPENSITY score matching, INDUCTION chemotherapy, PROGRESSION-free survival, NASOPHARYNX tumors, INTERSTITIAL cystitis
Abstract

Background: The optimal cumulative cisplatin dose (CCD) during radiation therapy for locoregionally advanced nasopharyngeal carcinoma (LA‐NPC) patients receiving induction chemotherapy (IC) plus CCRT remains controversial. This study aimed to explore the treatment efficiency of CCD for high‐and low‐risk patients with LA‐NPC. Methods: Data from 472 LA‐NPC patients diagnosed from 2014 to 2018 and treated with IC plus CCRT were reviewed. After propensity score matching, the therapeutic effects of a CCD > 200 and CCD ≤ 200 mg/m2 were evaluated comparatively. Five factors selected by multivariate analysis were incorporated to develop a nomogram. Subgroup analysis was conducted to explore the role of different CCDs in nomogram‐defined high‐ and low‐risk groups. Additionally, acute toxicities were evaluated comparatively between the high‐ and low‐CCD groups. Results: After matching, there was no difference between different CCD groups for all patients in terms of 3‐year overall survival (OS), distant metastasis‐free survival (DMFS), locoregional recurrence‐free survival (LRRFS), or progression‐free survival (PFS). A nomogram was built by integrating pretreatment EBV DNA, clinical stage, and post‐IC EBV DNA, post‐IC primary gross tumor and lymph node volumes obtained a C‐index of 0.674. The high‐risk group determined by the nomogram had poorer 3‐year PFS, OS, DMFS, and LRRFS than the low‐risk group. A total of CCD > 200 mg/m2 increased the survival rates of 3‐year PFS and DMFS (PFS: 72.5% vs. 54.4%, p = 0.012; DMFS: 81.9% vs. 61.5%, p = 0.014) in the high‐risk group but not in the low‐risk group. Moreover, the high CCD increased treatment‐related acute toxicities. Conclusions: A high CCD was associated with better 3‐year PFS and DMFS rates than a low dose for high‐risk patients but could not produce a survival benefit for low‐risk patients. [ABSTRACT FROM AUTHOR]

Published
2022
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32. Comparison of radiomics tools for image analyses and clinical prediction in nasopharyngeal carcinoma

Author

Liang, Zhong-Guo, Tan, Hong Qi, Zhang, Fan, Rui Tan, Lloyd Kuan, Lin, Li, Lenkowicz, Jacopo, Wang, Haitao, Wen Ong, Enya Hui, Kusumawidjaja, Grace, Phua, Jun Hao, Gan, Soon Ann, Sin, Sze Yarn, Ng, Yan Yee, Tan, Terence Wee, Soong, Yoke Lim, Fong, Kam Weng, Park, Sung Yong, Soo, Khee-Chee, Wee, Joseph Tien, Zhu, Xiao-Dong, Valentini, Vincenzo, Boldrini, Luca, Sun, Ying, Chua, Melvin Lee, Valentini, Vincenzo (ORCID:0000-0003-4637-6487), Liang, Zhong-Guo, Tan, Hong Qi, Zhang, Fan, Rui Tan, Lloyd Kuan, Lin, Li, Lenkowicz, Jacopo, Wang, Haitao, Wen Ong, Enya Hui, Kusumawidjaja, Grace, Phua, Jun Hao, Gan, Soon Ann, Sin, Sze Yarn, Ng, Yan Yee, Tan, Terence Wee, Soong, Yoke Lim, Fong, Kam Weng, Park, Sung Yong, Soo, Khee-Chee, Wee, Joseph Tien, Zhu, Xiao-Dong, Valentini, Vincenzo, Boldrini, Luca, Sun, Ying, Chua, Melvin Lee, and Valentini, Vincenzo (ORCID:0000-0003-4637-6487)

Abstract

N/A

Published
2019

33. Comparison of radiomics tools for image analyses and clinical prediction in nasopharyngeal carcinoma

Author

Liang, Zhong-Guo, primary, Tan, Hong Qi, additional, Zhang, Fan, additional, Rui Tan, Lloyd Kuan, additional, Lin, Li, additional, Lenkowicz, Jacopo, additional, Wang, Haitao, additional, Wen Ong, Enya Hui, additional, Kusumawidjaja, Grace, additional, Phua, Jun Hao, additional, Gan, Soon Ann, additional, Sin, Sze Yarn, additional, Ng, Yan Yee, additional, Kiat Tan, Terence Wee, additional, Soong, Yoke Lim, additional, Fong, Kam Weng, additional, Park, Sung Yong, additional, Soo, Khee-Chee, additional, Seng Wee, Joseph Tien, additional, Zhu, Xiao-Dong, additional, Valentini, Vincenzo, additional, Boldrini, Luca, additional, Sun, Ying, additional, and Kiang Chua, Melvin Lee, additional

Published
2019
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34. Vandetanib sensitizes head and neck squamous cell carcinoma to photodynamic therapy through modulation of EGFR-dependent DNA repair and the tumour microenvironment

Author

Chu, Pek Lim, primary, Shihabuddeen, Waseem A., additional, Low, Kar Perng, additional, Poon, Dennis J.J., additional, Ramaswamy, Bhuvaneswari, additional, Liang, Zhong-Guo, additional, Nei, Wen Long, additional, Chua, Kevin L.M., additional, Thong, Patricia S.P., additional, Soo, Khee Chee, additional, Yeo, Eugenia L.L., additional, and Chua, Melvin L.K., additional

Published
2019
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35. Vandetanib sensitises oral squamous cell carcinoma to photodynamic therapy through NHEJ impairment and modulation of tumour microenvironment (Conference Presentation)

Author

Chu, Pek Lim, primary, Shihabudeen, Waseem A., additional, Low, Kar Perng, additional, Poon, Dennis J.J., additional, Ramaswamy, Bhuvaneswari, additional, Liang, Zhong-Guo, additional, Nei, Wen Long, additional, Chua, Kevin L.M., additional, Thong, Patricia S.P., additional, Soo, Khee Chee, additional, Yeo, Eugenia L.L., additional, and Chua, Melvin L.K., additional

Published
2019
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42. Significant survival benefit of adjuvant chemotherapy after concurrent chemoradiotherapy in locally advanced high-risk nasopharyngeal carcinoma

Author

Liang, Zhong-Guo, primary, Chen, Xiao-Qian, additional, Lin, Guo-Xiang, additional, Yu, Bin-Bin, additional, Chen, Kai-Hua, additional, Zhong, Qiu-Lu, additional, Nong, Si-Kai, additional, Li, Ling, additional, Qu, Song, additional, Su, Fang, additional, Zhao, Wei, additional, Li, Ye, additional, and Zhu, Xiao-Dong, additional

Published
2017
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