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Stålhammar G. Comprehensive causes of death in uveal melanoma: mortality in 1530 consecutively diagnosed patients followed until death. JNCI Cancer Spectr 2023; 7:pkad097. [PMID: 37972025 PMCID: PMC10724524 DOI: 10.1093/jncics/pkad097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/11/2023] [Accepted: 11/13/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Uveal melanoma has a high propensity for metastatic spread. Yet, the comprehensive causes of death in a large consecutive cohort followed from diagnosis to death remain unknown. METHODS All Swedish patients diagnosed with melanoma involving the iris, choroid, and/or ciliary body after January 1, 1960, were assessed for this study. Sequential inclusion was halted upon encountering the first surviving patient during data collection. Causes of death were collected from the National Cause of Death Registry and audited by analysis of up to 15 causative diagnoses. RESULTS A total of 1530 patients were included, each histopathologically verified with primary uveal melanoma. Mortality from metastatic uveal melanoma was 31% at 5 years, 40% at 10 years, 45% at 20 years, 47% at 30 years, and 48% between 40 and 60 years post-diagnosis. Notably, the longest period between diagnosis and metastatic fatality was 49.6 years. Additionally, 186 other causes of death were recorded, with cardiovascular diseases constituting 26%, other cancers 10%, stroke 6%, dementias 2%, and lower respiratory infections 2% of total mortalities. Mortality from colorectal, lung, prostate, and stomach carcinomas over 60 years were 1.4%, 1.4%, 1.2%, and 0.9%, with metastatic uveal melanoma being the leading cumulative and annual cause of death for the initial 41 and 5 years post-diagnosis, respectively. CONCLUSIONS In this large consecutive cohort, half of the included patients ultimately succumbed to metastatic uveal melanoma, with deaths occurring up to 50 years after diagnosis. One-quarter and one-tenth of patients died from cardiovascular diseases and other cancers, respectively.
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Affiliation(s)
- Gustav Stålhammar
- Department of Clinical Neuroscience, Division of Eye and Vision, Karolinska Institutet, Stockholm, Sweden
- Ocular Oncology Service and St. Erik Ophthalmic Pathology Laboratory, St. Erik Eye Hospital, Stockholm, Sweden
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Steinberg J, Iles MM, Lee JY, Wang X, Law MH, Smit AK, Nguyen‐Dumont T, Giles GG, Southey MC, Milne RL, Mann GJ, Bishop DT, MacInnis RJ, Cust AE. Independent evaluation of melanoma polygenic risk scores in UK and Australian prospective cohorts. Br J Dermatol 2022; 186:823-834. [PMID: 34921685 PMCID: PMC9545863 DOI: 10.1111/bjd.20956] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 11/11/2021] [Accepted: 12/11/2021] [Indexed: 12/05/2022]
Abstract
BACKGROUND Previous studies suggest that polygenic risk scores (PRSs) may improve melanoma risk stratification. However, there has been limited independent validation of PRS-based risk prediction, particularly assessment of calibration (comparing predicted to observed risks). OBJECTIVES To evaluate PRS-based melanoma risk prediction in prospective UK and Australian cohorts with European ancestry. METHODS We analysed invasive melanoma incidence in the UK Biobank (UKB; n = 395 647, 1651 cases) and a case-cohort nested within the Melbourne Collaborative Cohort Study (MCCS, Australia; n = 4765, 303 cases). Three PRSs were evaluated: 68 single-nucleotide polymorphisms (SNPs) at 54 loci from a 2020 meta-analysis (PRS68), 50 SNPs significant in the 2020 meta-analysis excluding UKB (PRS50) and 45 SNPs at 21 loci known in 2018 (PRS45). Ten-year melanoma risks were calculated from population-level cancer registry data by age group and sex, with and without PRS adjustment. RESULTS Predicted absolute melanoma risks based on age and sex alone underestimated melanoma incidence in the UKB [ratio of expected/observed cases: E/O = 0·65, 95% confidence interval (CI) 0·62-0·68] and MCCS (E/O = 0·63, 95% CI 0·56-0·72). For UKB, calibration was improved by PRS adjustment, with PRS50-adjusted risks E/O = 0·91, 95% CI 0·87-0·95. The discriminative ability for PRS68- and PRS50-adjusted absolute risks was higher than for risks based on age and sex alone (Δ area under the curve 0·07-0·10, P < 0·0001), and higher than for PRS45-adjusted risks (Δ area under the curve 0·02-0·04, P < 0·001). CONCLUSIONS A PRS derived from a larger, more diverse meta-analysis improves risk prediction compared with an earlier PRS, and might help tailor melanoma prevention and early detection strategies to different risk levels. Recalibration of absolute risks may be necessary for application to specific populations.
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Affiliation(s)
- Julia Steinberg
- The Daffodil CentreThe University of Sydney, a joint venture with Cancer Council NSWSydneyNSWAustralia
| | - Mark M. Iles
- Leeds Institute for Data AnalyticsUniversity of LeedsLeedsUK
| | - Jin Yee Lee
- School of Public HealthThe University of SydneySydneyNSWAustralia
| | - Xiaochuan Wang
- Cancer Epidemiology DivisionCancer Council VictoriaMelbourneVICAustralia
| | - Matthew H. Law
- Statistical Genetics LaboratoryQIMR Berghofer Medical Research InstituteBrisbaneQLDAustralia
- School of Biomedical Sciences, Faculty of Health, and Institute of Health and Biomedical InnovationQueensland University of TechnologyKelvin GroveQLDAustralia
| | - Amelia K. Smit
- The Daffodil CentreThe University of Sydney, a joint venture with Cancer Council NSWSydneyNSWAustralia
| | - Tu Nguyen‐Dumont
- Precision Medicine, School of Clinical Sciences at Monash HealthMonash UniversityClaytonVICAustralia
- Department of Clinical PathologyThe University of MelbourneMelbourneVICAustralia
| | - Graham G. Giles
- Cancer Epidemiology DivisionCancer Council VictoriaMelbourneVICAustralia
- Precision Medicine, School of Clinical Sciences at Monash HealthMonash UniversityClaytonVICAustralia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global HealthThe University of MelbourneMelbourneVICAustralia
| | - Melissa C. Southey
- Precision Medicine, School of Clinical Sciences at Monash HealthMonash UniversityClaytonVICAustralia
| | - Roger L. Milne
- Cancer Epidemiology DivisionCancer Council VictoriaMelbourneVICAustralia
- Precision Medicine, School of Clinical Sciences at Monash HealthMonash UniversityClaytonVICAustralia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global HealthThe University of MelbourneMelbourneVICAustralia
| | - Graham J. Mann
- John Curtin School of Medical ResearchAustralian National UniversityCanberraACTAustralia
| | | | - Robert J. MacInnis
- Cancer Epidemiology DivisionCancer Council VictoriaMelbourneVICAustralia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global HealthThe University of MelbourneMelbourneVICAustralia
| | - Anne E. Cust
- The Daffodil CentreThe University of Sydney, a joint venture with Cancer Council NSWSydneyNSWAustralia
- Melanoma Institute AustraliaThe University of SydneySydneyNSWAustralia
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3
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Liu Y, Zhang J, Wang Z, Zhang X, Dai Z, Wu W, Zhang N, Liu Z, Zhang J, Luo P, Wen Z, Yu J, Zhang H, Yang T, Cheng Q. Identify the Prognostic and Immune Profile of VSIR in the Tumor Microenvironment: A Pan-Cancer Analysis. Front Cell Dev Biol 2022; 10:821649. [PMID: 35493077 PMCID: PMC9039624 DOI: 10.3389/fcell.2022.821649] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 03/02/2022] [Indexed: 01/25/2023] Open
Abstract
VSIR is a critical immunomodulatory receptor that inhibits T cell effector function and maintains peripheral tolerance. However, the mechanism by which VSIR participates in tumor immunity in the pan-cancer tumor microenvironment remains unclear. This study systematically explored the prognostic and immune profile of VSIR in the tumor microenvironment of 33 cancers. We compared the expression patterns and molecular features of VSIR in the normal and cancer samples both from the public databases and tumor chips. VSIR level was significantly related to patients’ prognosis and could be a promising predictor in many tumor types, such as GBM, KIRC, SKCM, READ, and PRAD. Elevated VSIR was closely correlated with infiltrated inflammatory cells, neoantigens expression, MSI, TMB, and classical immune checkpoints in the tumor microenvironment. Enrichment signaling pathways analysis indicated VSIR was involved in several immune-related pathways such as activation, proliferation, and migration of fibroblast, T cell, mast cell, macrophages, and foam cell. In addition, VSIR was found to widely express on cancer cells, fibroblasts, macrophages, and T cells in many tumor types based on the single-cell sequencing analysis and co-express with M2 macrophage markers CD68, CD163 based on the immunofluorescence staining. Finally, we predicted the sensitive drugs targeting VSIR and the immunotherapeutic value of VSIR. In sum, VSIR levels strongly correlated with the clinical outcome and tumor immunity in multiple cancer types. Therefore, therapeutic strategies targeting VSIR in the tumor microenvironment may be valuable tools for cancer immunotherapy.
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Affiliation(s)
- Yuanyuan Liu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Changsha, China
| | - Jingwei Zhang
- National Clinical Research Center for Geriatric Disorders, Changsha, China
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Zeyu Wang
- National Clinical Research Center for Geriatric Disorders, Changsha, China
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Xun Zhang
- National Clinical Research Center for Geriatric Disorders, Changsha, China
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Ziyu Dai
- National Clinical Research Center for Geriatric Disorders, Changsha, China
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
| | - Wantao Wu
- National Clinical Research Center for Geriatric Disorders, Changsha, China
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Nan Zhang
- One-third Lab, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jian Zhang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zhipeng Wen
- Department of Pharmacy, The Affiliated Hospital of Guizhou Medical University, Guizhou Medical University, Guiyang, China
| | - Jing Yu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
| | - Hao Zhang
- National Clinical Research Center for Geriatric Disorders, Changsha, China
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Quan Cheng, ; Tubao Yang, ; Hao Zhang,
| | - Tubao Yang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Changsha, China
- *Correspondence: Quan Cheng, ; Tubao Yang, ; Hao Zhang,
| | - Quan Cheng
- National Clinical Research Center for Geriatric Disorders, Changsha, China
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Clinical Diagnosis and Therapy Center for Glioma of Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Quan Cheng, ; Tubao Yang, ; Hao Zhang,
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Odell LR, Chau N, Russell CC, Young KA, Gilbert J, Robinson PJ, Sakoff JA, McCluskey A. Pyrimidyn-Based Dynamin Inhibitors as Novel Cytotoxic Agents. ChemMedChem 2021; 17:e202100560. [PMID: 34590434 DOI: 10.1002/cmdc.202100560] [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: 08/18/2021] [Revised: 09/28/2021] [Indexed: 11/06/2022]
Abstract
Five focused libraries of pyrimidine-based dynamin GTPase inhibitors, in total 69 compounds were synthesised, and their dynamin inhibition and broad-spectrum cytotoxicity examined. Dynamin plays a crucial role in mitosis, and as such inhibition of dynamin was expected to broadly correlate with the observed cytotoxicity. The pyrimidines synthesised ranged from mono-substituted to trisubstituted. The highest levels of dynamin inhibition were noted with di- and tri- substituted pyrimidines, especially those with pendent amino alkyl chains. Short chains and simple heterocyclic rings reduced dynamin activity. There were three levels of dynamin activity noted: 1-10, 10-25 and 25-60 μM. Screening of these compounds in a panel of cancer cell lines: SW480 (colon), HT29 (colon), SMA (spontaneous murine astrocytoma), MCF-7 (breast), BE2-C (glioblastoma), SJ-G2 (neuroblastoma), MIA (pancreas), A2780 (ovarian), A431 (skin), H460 (lung), U87 (glioblastoma) and DU145 (prostate) cell lines reveal a good correlation between the observed dynamin inhibition and the observed cytotoxicity. The most active analogues (31 a,b) developed returned average GI50 values of 1.0 and 0.78 μM across the twelve cell lines examined. These active analogues were: N2 -(3-dimethylaminopropyl)-N4 -dodecyl-6-methylpyrimidine-2,4-diamine (31 a) and N4 -(3-dimethylaminopropyl)-N2 -dodecyl-6-methylpyrimidine-2,4-diamine (31 b).
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Affiliation(s)
- Luke R Odell
- Chemistry, School of Environmental & Life Sciences, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Ngoc Chau
- Cell Signalling Unit Children's Medical Research Institute, The University of Sydney, Sydney, 2145 Hawkesbury Road, NSW 2145, Australia
| | - Cecilia C Russell
- Chemistry, School of Environmental & Life Sciences, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Kelly A Young
- Chemistry, School of Environmental & Life Sciences, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
| | - Jayne Gilbert
- Experimental Therapeutics Group, Department of Medical Oncology, Calvary Mater Newcastle Hospital, Edith Street, Waratah, NSW 2298, Australia
| | - Phillip J Robinson
- Cell Signalling Unit Children's Medical Research Institute, The University of Sydney, Sydney, 2145 Hawkesbury Road, NSW 2145, Australia
| | - Jennette A Sakoff
- Experimental Therapeutics Group, Department of Medical Oncology, Calvary Mater Newcastle Hospital, Edith Street, Waratah, NSW 2298, Australia
| | - Adam McCluskey
- Chemistry, School of Environmental & Life Sciences, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
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Deng Y, Zhao P, Zhou L, Xiang D, Hu J, Liu Y, Ruan J, Ye X, Zheng Y, Yao J, Zhai Z, Wang S, Yang S, Wu Y, Li N, Xu P, Zhang D, Kang H, Lyu J, Dai Z. Epidemiological trends of tracheal, bronchus, and lung cancer at the global, regional, and national levels: a population-based study. J Hematol Oncol 2020; 13:98. [PMID: 32690044 PMCID: PMC7370495 DOI: 10.1186/s13045-020-00915-0] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Accepted: 06/09/2020] [Indexed: 12/22/2022] Open
Abstract
Background Investigations of disease incidence, mortality, and disability-adjusted life years (DALYs) are valuable for facilitating preventive measures and health resource planning. We examined the tracheal, bronchus, and lung (TBL) cancer burdens worldwide according to sex, age, and social development index (SDI) at the global, regional, and national levels. Methods We assessed the TBL cancer burden using data from the Global Burden of Disease (GBD) database, including 21 regions, 195 countries, and territories in the diagnostic period 1990–2017. The data of TBL cancer-related mortality and DALYs attributable to all known risk factors were also analyzed. Age-standardized rates (ASRs) and their estimated annual percentage changes (EAPCs) were calculated. Results Incident cases, deaths, and DALYs of TBL cancer increased worldwide (100.44%, 82.30%, and 61.27%, respectively). The age-standardized incidence rate (ASIR) was stable (EAPC = 0.02, 95% confidence interval [CI] − 0.03 to 0.08), but the age-standardized death (EAPC = − 0.34, 95%CI − 0.38 to − 0.3) and DALY rate decreased generally (EAPC = − 0.74, 95%CI − 0.8 to − 0.68). However, the change trend of ASIR and ASDR among sexes was on the contrary. China and the USA always had the highest incidence, mortality, and DALYs of TBL cancer. Significant positive correlations between ASRs and SDI were observed, especially among females. High (36.86%), high-middle (28.78%), and middle SDI quintiles (24.91%) carried the majority burden of TBL cancer. Tobacco remained the top cause of TBL cancer death and DALYs, followed by air pollution, the leading cause in the low-middle and low-SDI quintiles. Metabolic risk-related TBL cancer mortality and DALYs among females increased but was stable among males. The main ages of TBL cancer onset and death were > 50 years, and the DALYs concentrated in 50 − 69 years. Conclusions To significantly reduce the growing burden of TBL cancer, treatment resources need to be skewed according to factors such as risks and geography, especially for high-risk groups and high-burden areas. Asia had the greatest TBL cancer burden, followed by high-income North America. Tobacco remains the leading cause of death and DALYs, followed by air pollution. Effective prevention measures against tobacco and air pollution should be strengthened.
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Affiliation(s)
- Yujiao Deng
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Peng Zhao
- Department of Medical Oncology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Linghui Zhou
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Dong Xiang
- Celilo Cancer Center, Oregon Health Science Center affiliated Mid-Columbia Medical Center, The Dalles, OR, USA
| | - Jingjing Hu
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Yu Liu
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Jian Ruan
- Department of Medical Oncology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xianghua Ye
- Department of Radiotherapy, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yi Zheng
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jia Yao
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Zhen Zhai
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shuqian Wang
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Si Yang
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Ying Wu
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Na Li
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.,Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Peng Xu
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Dai Zhang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Huafeng Kang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
| | - Zhijun Dai
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China. .,Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
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Dong X, Zheng T, Zhang Z, Bai X, Li H, Zhang J. [Luteolin reverses OPCML methylation to inhibit proliferation of breast cancer MDA-MB-231 cells]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2020; 40:550-555. [PMID: 32895125 DOI: 10.12122/j.issn.1673-4254.2020.04.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To observe the effect of luteolin on the proliferation and expression of OPCML in breast cancer cell line MDA-MB-231. METHODS Cultured MDA-MB-231 cells were treated with luteolin at the concentrations of 5, 10 and 20 μmol/L for 24 or 48 h. MTT assay was used to detect cell proliferation and flow cytometry was used to detect the cell apoptosis. The expressions of OPCML mRNA and protein were detected using real-time quantitative PCR and Western blotting, respectively. OPCML gene methylation in the promoter region was detected using methylation-specific PCR (MSP), and the activity of methylase in the cells was analyzed. RESULTS MTT assay showed that treatment with luteolin at 5, 10 and 20 μmol/L for 24 h concentration-dependently decreased the viability of MDA-MB-231 cells (P < 0.05). Flow cytometry also showed that luteolin at different concentrations could induce apoptosis of MDA-MB-231 cells (P < 0.05). Luteolin dose-dependently induced the expression of OPCML mRNA and protein in MDA-MB-231 cells (P < 0.05), down-regulated the methylation status in the promoter region of OPCML gene, up-regulated the level of non-methylated OPCML, and reduced the activity of methylase in the cells (P < 0.05). CONCLUSIONS Luteolin inhibits the proliferation of MDA-MB-231 breast cancer cells probably by upregulating OPCML expression and its demethylation.
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Affiliation(s)
- Xinmin Dong
- Department of Oncology, Affiliated People's Hospital of Inner Mongolia Medical University, Hohhot, 010010, China
| | - Ti Zheng
- Medical Departmentn, Affiliated People's Hospital of Inner Mongolia Medical University, Hohhot, 010010, China
| | - Ziying Zhang
- Department of Basic Medicine, School of Pharmacology of Inner Mongolia Medical University, Hohhot 010110, China
| | - Xiling Bai
- Department of Interventional Riadiology, Affiliated People's Hospital of Inner Mongolia Medical University, Hohhot 010010, China
| | - Hua Li
- Department of Oncology, Affiliated People's Hospital of Inner Mongolia Medical University, Hohhot, 010010, China
| | - Jian Zhang
- Department of Radiotherapy, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China
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7
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Buckley E, Roder DM. Estimating the lifetime risks of cancer: the best measure depends on your purpose. Med J Aust 2019; 212:14-15. [PMID: 31821555 DOI: 10.5694/mja2.50444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Elizabeth Buckley
- Cancer Research Institute, University of South Australia, Adelaide, SA
| | - David M Roder
- Cancer Research Institute, University of South Australia, Adelaide, SA
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