Cancer Research and Treatment

Original Articles

Genitourinary cancer

Prediction of Pathologic Findings with MRI-Based Clinical Staging Using the Bayesian Network Modeling in Prostate Cancer: A Radiation Oncologist Perspective: Chan Woo Wee, Bum-Sup Jang, Jin Ho Kim, Chang Wook Jeong, Cheol Kwak, Hyun Hoe Kim, Ja Hyeon Ku, Seung Hyup Kim, Jeong Yeon Cho, Sang Youn Kim; Cancer Res Treat. 2022;54(1):234-244. Published online May 17, 2021; DOI: https://doi.org/10.4143/crt.2020.1221

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Purpose
This study aimed to develop a model for predicting pathologic extracapsular extension (ECE) and seminal vesicle invasion (SVI) while integrating magnetic resonance imaging-based T-staging (cT_MRI, cT1c-cT3b).
Materials and Methods
A total of 1,915 who underwent radical prostatectomy between 2006-2016 met the inclusion/exclusion criteria. We performed a multivariate logistic regression analysis as well as Bayesian network (BN) modeling based on possible confounding factors. The BN model was internally validated using 5-fold validation.
Results
According to the multivariate logistic regression analysis, initial prostate-specific antigen (iPSA) (β=0.050, p < 0.001), percentage of positive biopsy cores (PPC) (β=0.033, p < 0.001), both lobe involvement on biopsy (β=0.359, p=0.009), Gleason score (β=0.358, p < 0.001), and cT_MRI (β=0.259, p < 0.001) were significant factors for ECE. For SVI, iPSA (β=0.037, p < 0.001), PPC (β=0.024, p < 0.001), Gleason score (β=0.753, p < 0.001), and cT_MRI (β=0.507, p < 0.001) showed statistical significance. BN models to predict ECE and SVI were also successfully established. The overall area under the receiver operating characteristic curve (AUC)/accuracy of the BN models were 0.76/73.0% and 0.88/89.6% for ECE and SVI, respectively. According to internal comparison between the BN model and Roach formula, BN model had improved AUC values for predicting ECE (0.76 vs. 0.74, p=0.060) and SVI (0.88 vs. 0.84, p < 0.001).
Conclusion
Two models to predict pathologic ECE and SVI integrating cT_MRI were established and installed on a separate website for public access to guide radiation oncologists.

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Measurements of target volumes and organs at risk using DW‑MRI in patients with central lung cancer accompanied with atelectasis
Xinli Zhang, Tong Liu, Hong Zhang, Mingbin Zhang
Molecular and Clinical Oncology.2023;[Epub] CrossRef

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Health-Related Quality of Life Changes in Prostate Cancer Patients after Radical Prostatectomy: A Longitudinal Cohort Study: Dong Wook Shin, Sang Hyub Lee, Tae-Hwan Kim, Seok Joong Yun, Jong Kil Nam, Seung Hyun Jeon, Seung Chol Park, Seung Il Jung, Jong-Hyock Park, Jinsung Park; Cancer Res Treat. 2019;51(2):556-567. Published online July 16, 2018; DOI: https://doi.org/10.4143/crt.2018.221

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Purpose
Health-related quality of life (HRQOL) information related to radical prostatectomy (RP) is valuable for prostate cancer (PC) patients needing to make treatment decisions. We aimed to investigate HRQOL change in PC patients who underwent three types of RP (open, laparoscopic, or robotic) and compared their HRQOL with that of general population.
Materials and Methods
Patients were prospectively recruited between October 2014 and December 2015. European Organization for Research and Treatment of Cancer Quality-of-Life Questionnaire (EORTC QLQ-C30) and PC-specific module (PR25) were administered before surgery (baseline) and at postoperative 3 and 12 months. At each time point, HRQOL was compared, and a difference of 10 out of 0-100 scale was considered clinically significant.
Results
Among 258 screened patients, 209 (41 open, 63 laparoscopic, and 105 robotic surgeries) were included. Compared to baseline, physical, emotional, and cognitive functioning improved at 12 months. Role functioning worsened at 3 months, but recovered to baseline at 12 months. Pain, insomnia, diarrhea, and financial difficulties also significantly improved at 12 months. Most PR25 scales excluding bowel symptoms deteriorated at 3 months. Urinary symptoms and incontinence aid recovered at 12 months, whereas sexual activity and sexual function remained poor at 12 months. Clinically meaningful differences in HRQOL were not observed according to RP modalities. Compared to the general population, physical and role functioning were significantly lower at 3 months, but recovered by 12 months. Social functioning did not recover.
Conclusion
Most HRQOL domains showed recovery within 12 months after RP, excluding sexual functioning and social functioning. Our findings may guide patients considering surgical treatment for PC.

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Quality of life after robotic versus conventional minimally invasive cancer surgery: a systematic review and meta-analysis
Russell Seth Martins, Asad Saulat Fatimi, Omar Mahmud, Muhammad Umar Mahar, Arshia Jahangir, Kinza Jawed, Shalni Golani, Ayra Siddiqui, Syed Roohan Aamir, Ali Ahmad
Journal of Robotic Surgery.2024;[Epub] CrossRef
The Effect of Discharge Education and Post-Discharge Telephone Counseling on Quality of Life in Patients Undergoing Radical Prostatectomy: A Randomized Controlled Study
İpek Köse Tosunöz, Sevgi Deniz Doğan, Şeyma Yurtseven, Sevban Arslan
Cukurova Anestezi ve Cerrahi Bilimler Dergisi.2024; 7(3): 205. CrossRef
Health‐related quality of life the first year after a prostate cancer diagnosis a systematic review
Louise Dorner Østergaard, Mads Hvid Poulsen, Malene Eiberg Jensen, Lars Lund, Malene Grubbe Hildebrandt, Birgitte Nørgaard
International Journal of Urological Nursing.2023; 17(1): 15. CrossRef
Quantitative Analysis of Quality of Life and Exploration of Influencing Factors in Patients Undergoing Radical Prostatectomy
Feiyang Wang, Jiajun Chen, Weihao Wang, Mengyao Li, Chao Peng, Shouhua Pan, Chuanchuan Zhan, Keyuan Zhao, Yulei Li, Lulu Zhang, Gang Xu, Jing Jin
Urology.2023; 181: 105. CrossRef
Effects of omega‐3 supplementation on psychological symptoms in men with prostate cancer: Secondary analysis of a double‐blind placebo‐controlled randomized trial
Josée Savard, Hanane Moussa, Jean‐François Pelletier, Pierre Julien, Louis Lacombe, Rabi Tiguert, Yves Caumartin, Thierry Dujardin, Paul Toren, Frédéric Pouliot, Michele Lodde, Yves Fradet, Karine Robitaille, Vincent Fradet
Cancer Medicine.2023; 12(19): 20163. CrossRef
Treatment Outcomes and Its Associated Factors Among Adult Patients with Selected Solid Malignancies at Kenyatta National Hospital: A Hospital-Based Prospective Cohort Study
Amsalu Degu, Ermias Mergia Terefe, Eliab Seroney Some, Gobezie T Tegegne
Cancer Management and Research.2022; Volume 14: 1525. CrossRef
A systematic review of supervised comprehensive functional physiotherapy after radical prostatectomy
B. Steenstrup, M. Cartier, F.X. Nouhaud, G. Kerdelhue, M. Gilliaux
Progrès en Urologie.2022; 32(7): 525. CrossRef
Perioperative psychological issues and nursing care among patients undergoing minimally invasive surgeries
Kehua Yang, Xu Shao, Xinghui Lv, Feimin Yang, Qunyan Shen, Jing Fang, Wei Chen
Laparoscopic, Endoscopic and Robotic Surgery.2022; 5(3): 92. CrossRef
A Survey on the Quality of Life of Prostate Cancer Patients in Korean Prostate Cancer Patients Association
Yun-Sok Ha, Kwang Taek Kim, Wook Nam, Hongzoo Park, Sangjun Yoo, Chan Ho Lee, Ho Seok Chung, Woo Suk Choi, Jiyoun Kim, Jaeeun Shin, Jeong Hyun Kim, Cheol Kwak
The Korean Journal of Urological Oncology.2022; 20(4): 265. CrossRef
Effects of leuprolide acetate on the quality of life of patients with prostate cancer: A prospective longitudinal cohort study
Myung Soo Kim, Seung Il Jung, Ho Seok Chung, Eu Chang Hwang, Dongdeuk Kwon
Prostate International.2021; 9(3): 132. CrossRef
Quality of life assessment using EORTC QLQ questionnaires in the prostate cancer population treated with radical prostatectomy: a systematic review
Tomasz Jurys, Jacek Durmala
Scandinavian Journal of Urology.2021; 55(2): 90. CrossRef
Évaluation de l’observance et de l’adhésion thérapeutique de deux protocoles de rééducation après prostatectomie
Benoit Steenstrup, Claire Breton, Guillaume Galliou, François-Xavier Nouhaud
Kinésithérapie, la Revue.2021; 21(234): 12. CrossRef
Metabolic syndrome, levels of androgens, and changes of erectile dysfunction and quality of life impairment 1 year after radical prostatectomy
Yann Neuzillet, Mathieu Rouanne, Jean-François Dreyfus, Jean-Pierre Raynaud, Marc Schneider, Morgan Roupret, Sarah Drouin, Marc Galiano, Xavier Cathelinau, Thierry Lebret, Henry Botto
Asian Journal of Andrology.2021; 23(4): 370. CrossRef
The Effect of Post-prostatectomy Urinary Incontinence on Health-related Quality of Life in Patients with Prostate Cancer
Jeong Hyun Kim, Yeon Soo Jang, Young Deuk Choi, Eui Geum Oh
Korean Journal of Adult Nursing.2019; 31(3): 293. CrossRef
Prostate-specific health-related quality of life and patient-physician communication — A 3.5-year follow-up
Nicole Ernstmann, Jan Herden, Lothar Weissbach, André Karger, Kira Hower, Lena Ansmann
Patient Education and Counseling.2019; 102(11): 2114. CrossRef

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14 Web of Science
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Lifestyle Risk Prediction Model for Prostate Cancer in a Korean Population: Sung Han Kim, Sohee Kim, Jae Young Joung, Whi-An Kwon, Ho Kyung Seo, Jinsoo Chung, Byung-Ho Nam, Kang Hyun Lee; Cancer Res Treat. 2018;50(4):1194-1202. Published online December 21, 2017; DOI: https://doi.org/10.4143/crt.2017.484

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Purpose
The use of prostate-specific antigen as a biomarker for prostate cancer (PC) has been controversial and is, therefore, not used by many countries in their national health screening programs. The biological characteristics of PC in East Asians including Koreans and Japanese are different from those in the Western populations. Potential lifestyle risk factors for PC were evaluated with the aim of developing a risk prediction model.
Materials and Methods
A total of 1,179,172 Korean men who were cancer free from 1996 to 1997, had taken a physical examination, and completed a lifestyle questionnaire, were enrolled in our study to predict their risk for PC for the next eight years, using the Cox proportional hazards model. The model’s performance was evaluated using the C-statistic and Hosmer‒Lemeshow type chi-square statistics.
Results
The risk prediction model studied age, height, body mass index, glucose levels, family history of cancer, the frequency of meat consumption, alcohol consumption, smoking status, and physical activity, which were all significant risk factors in a univariate analysis. The model performed very well (C statistic, 0.887; 95% confidence interval, 0.879 to 0.895) and estimated an elevated PC risk in patients who did not consume alcohol or smoke, compared to heavy alcohol consumers (hazard ratio [HR], 0.78) and current smokers (HR, 0.73) (p < 0.001).
Conclusion
This model can be used for identifying Korean and other East Asian men who are at a high risk for developing PC, as well as for cancer screening and developing preventive health strategies.

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To Drink or Not to Drink? Investigating Alcohol’s Impact on Prostate Cancer Risk
Aris Kaltsas, Michael Chrisofos, Evangelos N. Symeonidis, Athanasios Zachariou, Marios Stavropoulos, Zisis Kratiras, Ilias Giannakodimos, Asterios Symeonidis, Fotios Dimitriadis, Nikolaos Sofikitis
Cancers.2024; 16(20): 3453. CrossRef
Machine learning algorithms that predict the risk of prostate cancer based on metabolic syndrome and sociodemographic characteristics: a prospective cohort study
Tao Thi Tran, Jeonghee Lee, Junetae Kim, Sun-Young Kim, Hyunsoon Cho, Jeongseon Kim
BMC Public Health.2024;[Epub] CrossRef
Combinations of lifestyle behaviors and cancer risk among Korean adults
Ngoc Minh Luu, Thi Tra Bui, Thi Phuong Thao Tran, Thi Huyen Trang Nguyen, Jin-Kyoung Oh
Scientific Reports.2023;[Epub] CrossRef
Cigarette smoking and prostate cancer: A systematic review and meta-analysis of prospective cohort studies
Sarah Al-Fayez, Ashraf El-Metwally
Tobacco Induced Diseases.2023; 21(February): 1. CrossRef
Prostate cancer risk prediction based on clinical factors and prostate-specific antigen
Taewon Hwang, Hyungseok Oh, Jung Ah Lee, Eo Jin Kim
BMC Urology.2023;[Epub] CrossRef
Association Between Red and Processed Meat Consumption and Risk of Prostate Cancer: A Systematic Review and Meta-Analysis
Saeedeh Nouri-Majd, Asma Salari-Moghaddam, Azadeh Aminianfar, Bagher Larijani, Ahmad Esmaillzadeh
Frontiers in Nutrition.2022;[Epub] CrossRef
Alcohol and Prostate Cancer: Time to Draw Conclusions
Amanda J. Macke, Armen Petrosyan
Biomolecules.2022; 12(3): 375. CrossRef
Diagnostic accuracy of prostate-specific antigen below 4 ng/mL as a cutoff for diagnosing prostate cancer in a hospital setting: A systematic review and meta-analysis
Yan Jin, Jae Hung Jung, Woong Kyu Han, Eu Chang Hwang, Yoonmi Nho, Narae Lee, Ji Eun Yun, Kwang Suk Lee, Sang Hyub Lee, Hakmin Lee, Su-Yeon Yu
Investigative and Clinical Urology.2022; 63(3): 251. CrossRef
Association between Relative Preference for Vegetables and Meat and Cancer Incidence in Korean Adults: A Nationwide Population-based Retrospective Cohort Study
Ga-Eun Yie, An Na Kim, Hyun Jeong Cho, Minji Kang, Sungji Moon, Inah Kim, Kwang-Pil Ko, Jung Eun Lee, Sue K. Park
Korean Journal of Community Nutrition.2021; 26(3): 211. CrossRef
Prostate Cancer Risk Calculators for Healthy Populations: Systematic Review
Antonio Bandala-Jacques, Kevin Daniel Castellanos Esquivel, Fernanda Pérez-Hurtado, Cristobal Hernández-Silva, Nancy Reynoso-Noverón
JMIR Cancer.2021; 7(3): e30430. CrossRef
Personalized 5-Year Prostate Cancer Risk Prediction Model in Korea Based on Nationwide Representative Data
Yohwan Yeo, Dong Wook Shin, Jungkwon Lee, Kyungdo Han, Sang Hyun Park, Keun Hye Jeon, Jungeun Shin, Aesun Shin, Jinsung Park
Journal of Personalized Medicine.2021; 12(1): 2. CrossRef
Lifestyles, health habits, and prostate cancer
Tomoyuki Kawada
Journal of Cancer Research and Clinical Oncology.2020; 146(6): 1623. CrossRef
Combination possibility and deep learning model as clinical decision-aided approach for prostate cancer
Okyaz Eminaga, Omran Al-Hamad, Martin Boegemann, Bernhard Breil, Axel Semjonow
Health Informatics Journal.2020; 26(2): 945. CrossRef
Tailored Biofunctionalized Biosensor for the Label-Free Sensing of Prostate-Specific Antigen
Sachin Mishra, Eun-Seong Kim, Parshant Kumar Sharma, Zhi-Ji Wang, Sung-Hyun Yang, Ajeet Kumar Kaushik, Cong Wang, Yang Li, Nam-Young Kim
ACS Applied Bio Materials.2020; 3(11): 7821. CrossRef
A Study on Risk Factors of the Incidence of Prostate Cancer Using National Health Insurance Service: Effects of BMI on Age
Hye Sim Kim, Tae Hwa Go, Dae Ryong Kang, Jae Hung Jung, Sung Won Kwon, Sae Chul Kim, Jae Mann Song, Hyun Chul Chung, Sang Baek Koh
Journal of Health Informatics and Statistics.2019; 44(4): 410. CrossRef

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Effects of Aspirin, Nonsteroidal Anti-inflammatory Drugs, Statin, and COX2 Inhibitor on the Developments of Urological Malignancies: A Population-Based Study with 10-Year Follow-up Data in Korea: Minyong Kang, Ja Hyeon Ku, Cheol Kwak, Hyeon Hoe Kim, Chang Wook Jeong; Cancer Res Treat. 2018;50(3):984-991. Published online October 27, 2017; DOI: https://doi.org/10.4143/crt.2017.248

Abstract PDF Supplementary Material PubReader ePub

Purpose
The purpose of this study was to determine the impact of aspirin, nonsteroidal anti-inflammatory drugs (NSAIDs), statin, and cyclooxygenase 2 (COX-2) inhibitor on the development of kidney, prostate, and urothelial cancers by analyzing the Korean National Health Insurance Service–National Sample Cohort (NHIS-NSC) database.
Materials and Methods
Among a representative sample cohort of 1,025,340 participants in NHIS-NSC database in 2002, we extracted data of 799,850 individuals who visited the hospital more than once, and finally included 321,122 individuals aged 40 and older. Following a 1-year washout period between 2002 and 2003, we analyzed 143,870 (male), 320,861 and 320,613 individuals for evaluating the risk of prostate cancer, kidney cancer and urothelial cancer developments, respectively, during 10-year follow-up periods between 2004 and 2013. The medication group consisted of patients prescribed these drugs more than 60% of the time in 2003. To adjustfor various parameters of the patients, a multivariate Cox regression model was adopted.
Results
During 10-year follow-up periods between 2004 and 2013, 9,627 (6.7%), 1,107 (0.4%), and 2,121 (0.7%) patients were diagnosed with prostate cancer, kidney cancer, and urothelial cancer, respectively. Notably, multivariate analyses revealed that NSAIDs significantly increased the risk of prostate cancer (hazard ratio [HR], 1.35). Also, it was found that aspirin (HR, 1.28) and statin (HR, 1.55) elevated the risk of kidney cancer. No drugs were associated with the risk of urothelial cancer.
Conclusion
In sum, our study provides the valuable information for the impact of aspirin, NSAID, statin, and COX-2 inhibitor on the risk of prostate, kidney, and urothelial cancer development and its survival outcomes.

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Association between Statin Use and Clinical Outcomes in Patients with De Novo Metastatic Prostate Cancer: A Propensity Score-weighted Analysis
Tzu Shuang Chen, Hui Ying Liu, Yin Lun Chang, Yao Chi Chuang, Yen Ta Chen, Yu Li Su, Chun Chieh Huang, Yen Ting Wu, Hung Jen Wang, Hao Lun Luo
The World Journal of Men's Health.2024; 42(3): 630. CrossRef
Establishment of Prospective Registry of Active Surveillance for Prostate Cancer: The Korean Urological Oncology Society Database
Gyoohwan Jung, Jung Kwon Kim, Seong Soo Jeon, Jae Hoon Chung, Cheol Kwak, Chang Wook Jeong, Hanjong Ahn, Jae Young Joung, Tae Gyun Kwon, Sung Woo Park, Seok-Soo Byun
The World Journal of Men's Health.2023; 41(1): 110. CrossRef
Evaluation of statin use and renal cell carcinoma risk identifies sex-specific associations with RCC subtypes
Irmina Maria Michalek, Rebecca E. Graff, Alejandro Sanchez, Toni K. Choueiri, Eunyoung Cho, Mark A. Preston, Kathryn M. Wilson
Acta Oncologica.2023; 62(9): 988. CrossRef
Effect of aspirin on incidence, recurrence, and mortality in prostate cancer patients: integrating evidence from randomized controlled trials and real-world studies
Shaodi Ma, Weihang Xia, Birong Wu, Chenyu Sun, Yuemeng Jiang, Haixia Liu, Scott Lowe, Zhen Zhou, Peng Xie, Juan Gao, Linya Feng, Xianwei Guo, Guangbo Qu, Yehuan Sun
European Journal of Clinical Pharmacology.2023; 79(11): 1475. CrossRef
Evidence on Statins, Omega-3, and Prostate Cancer: A Narrative Review
Hwanik Kim, Jung Kwon Kim
The World Journal of Men's Health.2022; 40(3): 412. CrossRef
The Association of Prediagnostic Statin Use with Aggressive Prostate Cancer from the Multiethnic Cohort Study
Fei Chen, Peggy Wan, Lynne R. Wilkens, Loïc Le Marchand, Christopher A. Haiman
Cancer Epidemiology, Biomarkers & Prevention.2022; 31(5): 999. CrossRef
Aspirin and the risk of nondigestive tract cancers: An updated meta‐analysis to 2019
Claudia Santucci, Silvano Gallus, Marco Martinetti, Carlo La Vecchia, Cristina Bosetti
International Journal of Cancer.2021; 148(6): 1372. CrossRef
Association between depression and risk of Parkinson's disease in South Korean adults
Wonjeong Jeong, Hyunkyu Kim, Jae Hong Joo, Sung-In Jang, Eun-Cheol Park
Journal of Affective Disorders.2021; 292: 75. CrossRef
Can Aspirin Use Be Associated With the Risk or Prognosis of Bladder Cancer? A Case-Control Study and Meta-analytic Assessment
Bo Fan, Alradhi Mohammed, Yuanbin Huang, Hong Luo, Hongxian Zhang, Shenghua Tao, Weijiao Xu, Qian Liu, Tao He, Huidan Jin, Mengfan Sun, Man Sun, Zhifei Yun, Rui Zhao, Guoyu Wu, Xiancheng Li
Frontiers in Oncology.2021;[Epub] CrossRef
Association Between Genetically Proxied Lipid-Lowering Drug Targets and Renal Cell Carcinoma: A Mendelian Randomization Study
Luyang Liu, Chao Sheng, Zhangyan Lyu, Hongji Dai, Kexin Chen
Frontiers in Nutrition.2021;[Epub] CrossRef
Associations of low-dose aspirin or other NSAID use with prostate cancer risk in the Danish Diet, Cancer and Health Study
Charlotte Skriver, Christian Dehlendorff, Michael Borre, Klaus Brasso, Signe Benzon Larsen, Anne Tjønneland, Anton Pottegård, Jesper Hallas, Henrik Toft Sørensen, Søren Friis
Cancer Causes & Control.2020; 31(2): 139. CrossRef
Impact of Concomitant Medication Use and Immune-Related Adverse Events on Response to Immune Checkpoint Inhibitors
Shipra Gandhi, Manu Pandey, Nischala Ammannagari, Chong Wang, Mark J Bucsek, Lamya Hamad, Elizabeth Repasky, Marc S Ernstoff
Immunotherapy.2020; 12(2): 141. CrossRef
Risks of solid cancers in elderly persons with osteoarthritis or ankylosing spondylitis
Michael M Ward, Sara Alehashemi
Rheumatology.2020; 59(12): 3817. CrossRef
Complex roles of the old drug aspirin in cancer chemoprevention and therapy
Hui Hua, Hongying Zhang, Qingbin Kong, Jiao Wang, Yangfu Jiang
Medicinal Research Reviews.2019; 39(1): 114. CrossRef
Establishment of the Seoul National University Prospectively Enrolled Registry for Genitourinary Cancer (SUPER-GUC): A prospective, multidisciplinary, bio-bank linked cohort and research platform
Chang Wook Jeong, Jungyo Suh, Hyeong Dong Yuk, Bum Sik Tae, Miso Kim, Bhumsuk Keam, Jin Ho Kim, Sang Youn Kim, Jeong Yeon Cho, Seung Hyup Kim, Kyung Chul Moon, Gi Jeong Cheon, Ja Hyeon Ku, Hyeon Hoe Kim, Cheol Kwak
Investigative and Clinical Urology.2019; 60(4): 235. CrossRef
The impact of acute inflammation on progression and metastasis in pancreatic cancer animal model
Keun Soo Ahn, Ji Yeon Hwang, Ho-Seong Han, Sang Tae Kim, Ilseon Hwang, Young-Ok Chun
Surgical Oncology.2018; 27(1): 61. CrossRef
Prostate cancer multifocality, the index lesion, and the microenvironment
Rafael R. Tourinho-Barbosa, Jean de la Rosette, Rafael Sanchez-Salas
Current Opinion in Urology.2018; 28(6): 499. CrossRef
Intake of Non-steroidal Anti-inflammatory Drugs and the Risk of Prostate Cancer: A Meta-Analysis
Zhenhua Shang, Xue Wang, Hao Yan, Bo Cui, Qi Wang, Jiangtao Wu, Xin Cui, Jin Li, Tongwen Ou, Kun Yang
Frontiers in Oncology.2018;[Epub] CrossRef

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