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Almohaywi M, Sugita BM, Centa A, Fonseca AS, Antunes VC, Fadda P, Mannion CM, Abijo T, Goldberg SL, Campbell MC, Copeland RL, Kanaan Y, Cavalli LR. Deregulated miRNA Expression in Triple-Negative Breast Cancer of Ancestral Genomic-Characterized Latina Patients. Int J Mol Sci 2023; 24:13046. [PMID: 37685851 PMCID: PMC10487916 DOI: 10.3390/ijms241713046] [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: 06/29/2023] [Revised: 08/03/2023] [Accepted: 08/05/2023] [Indexed: 09/10/2023] Open
Abstract
Among patients with triple-negative breast cancer (TNBC), several studies have suggested that deregulated microRNA (miRNA) expression may be associated with a more aggressive phenotype. Although tumor molecular signatures may be race- and/or ethnicity-specific, there is limited information on the molecular profiles in women with TNBC of Hispanic and Latin American ancestry. We simultaneously profiled TNBC biopsies for the genome-wide copy number and miRNA global expression from 28 Latina women and identified a panel of 28 miRNAs associated with copy number alterations (CNAs). Four selected miRNAs (miR-141-3p, miR-150-5p, miR-182-5p, and miR-661) were validated in a subset of tumor and adjacent non-tumor tissue samples, with miR-182-5p being the most discriminatory among tissue groups (AUC value > 0.8). MiR-141-3p up-regulation was associated with increased cancer recurrence; miR-661 down-regulation with larger tumor size; and down-regulation of miR-150-5p with larger tumor size, high p53 expression, increased cancer recurrence, presence of distant metastasis, and deceased status. This study reinforces the importance of integration analysis of CNAs and miRNAs in TNBC, allowing for the identification of interactions among molecular mechanisms. Additionally, this study emphasizes the significance of considering the patients ancestral background when examining TNBC, as it can influence the relationship between intrinsic tumor molecular characteristics and clinical manifestations of the disease.
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Affiliation(s)
- Maram Almohaywi
- Microbiology Department, Howard University Cancer Center, Howard University, Washington, DC 20059, USA
| | - Bruna M. Sugita
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba 80250-060, PR, Brazil
| | - Ariana Centa
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba 80250-060, PR, Brazil
| | - Aline S. Fonseca
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba 80250-060, PR, Brazil
| | - Valquiria C. Antunes
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba 80250-060, PR, Brazil
| | - Paolo Fadda
- Genomics Shared Resource, Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Ciaran M. Mannion
- Department of Pathology, Hackensack University Medical Center, Hackensack, NJ 07701, USA
| | - Tomilowo Abijo
- National Institute of Diabetes and Kidney Diseases, National Institute of Health, Bethesda, MD 20814, USA
| | - Stuart L. Goldberg
- John Theurer Cancer Center, Hackensack Meridian School of Medicine, Hackensack, NJ 07701, USA
- COTA, Inc., New York, NY 10014, USA
| | - Michael C. Campbell
- Department of Biological Sciences Human and Evolutionary Biology Section, University of Southern California, Los Angeles, CA 90089, USA
| | - Robert L. Copeland
- Pharmacology Department, Howard University Cancer Center, Howard University, Washington, DC 20059, USA
| | - Yasmine Kanaan
- Microbiology Department, Howard University Cancer Center, Howard University, Washington, DC 20059, USA
| | - Luciane R. Cavalli
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba 80250-060, PR, Brazil
- Oncology Department, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA
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2
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Thorburn S, Lindly OJ. A systematic search and review of the discrimination in health care measure, and its adaptations. PATIENT EDUCATION AND COUNSELING 2022; 105:1703-1713. [PMID: 34688522 PMCID: PMC9576001 DOI: 10.1016/j.pec.2021.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 05/25/2021] [Accepted: 10/04/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Discrimination occurs in health care settings contributing to health inequities. Yet guidance on how best to measure discrimination in health care is still limited. OBJECTIVES We sought to (1) identify and describe the characteristics of published studies that used the Discrimination in Health Care Measure, a scale first published in 2001; (2) review how the measure has been used or adapted and summarize the measure's published psychometric properties and its variations; and (3) summarize associations between the measure and health-related variables. METHODS We performed a systematic search and review of the measure by searching PsycINFO, PubMed, Sociological Abstracts, and Web of Science from January 1, 2001 through January 31, 2017. We screened 260 unique articles, identified 22 eligible articles, and completed a narrative synthesis. RESULTS Most studies measured race or ethnicity-based discrimination. All studies made minor revisions to the measure, and most reported high reliabilities. Discrimination in health care, using this measure, was associated with adverse health outcomes. DISCUSSION AND PRACTICE IMPLICATIONS Study results indicate that the measure is easy to use and adapt. Researchers should consider using the Discrimination in Health Care Measure when designing studies that will examine individuals' discriminatory experiences when receiving health care.
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Affiliation(s)
- Sheryl Thorburn
- School of Social and Behavioral Health Sciences, Oregon State University, United States
| | - Olivia J Lindly
- Department of Health Sciences, Northern Arizona University, United States.
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Turkistani S, Sugita BM, Fadda P, Marchi R, Afsari A, Naab T, Apprey V, Copeland RL, Campbell MC, Cavalli LR, Kanaan Y. A panel of miRNAs as prognostic markers for African-American patients with triple negative breast cancer. BMC Cancer 2021; 21:861. [PMID: 34315420 PMCID: PMC8317413 DOI: 10.1186/s12885-021-08573-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 04/29/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND To investigate the global expression profile of miRNAs, their impact on cellular signaling pathways, and their association with poor prognostic parameters in African-American (AA) patients with triple negative breast cancer (TNBC). METHODS Twenty-five samples of AA TNBC patients were profiled for global miRNA expression and stratified considering three clinical-pathological parameters: tumor size, lymph node (LN), and recurrence (REC) status. Differential miRNA expression analysis was performed for each parameter, and their discriminatory power was determined by Receiver Operating Characteristic (ROC) curve analysis. KMplotter was assessed to determine the association of the miRNAs with survival, and functional enrichment analysis to determine the main affected pathways and miRNA/mRNA target interactions. RESULTS A panel of eight, 23 and 27 miRNAs were associated with tumor size, LN, and REC status, respectively. Combined ROC analysis of two (miR-2117, and miR-378c), seven (let-7f-5p, miR-1255b-5p, miR-1268b, miR-200c-3p, miR-520d, miR-527, and miR-518a-5p), and three (miR-1200, miR-1249-3p, and miR-1271-3p) miRNAs showed a robust discriminatory power based on tumor size (AUC = 0.917), LN (AUC = 0.945) and REC (AUC = 0.981) status, respectively. Enrichment pathway analysis revealed their involvement in proteoglycans and glycan and cancer-associated pathways. Eight miRNAs with deregulated expressions in patients with large tumor size, positive LN metastasis, and recurrence were significantly associated with lower survival rates. Finally, the construction of miRNA/mRNA networks based in experimentally validated mRNA targets, revealed nodes of critical cancer genes, such as AKT1, BCL2, CDKN1A, EZR and PTEN. CONCLUSIONS Altogether, our data indicate that miRNA deregulated expression is a relevant biological factor that can be associated with the poor prognosis in TNBC of AA patients, by conferring to their TNBC cells aggressive phenotypes that are reflected in the clinical characteristics evaluated in this study.
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Affiliation(s)
- Safaa Turkistani
- Department of Microbiology, Howard University Cancer Center, Howard University, Washington DC, USA
| | - Bruna M Sugita
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba, PR, Brazil
| | - Paolo Fadda
- Genomics Shared Resource, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Rafael Marchi
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba, PR, Brazil
| | - Ali Afsari
- Department of Pathology, Howard University Hospital, Washington DC, USA
| | - Tammey Naab
- Department of Pathology, Howard University Hospital, Washington DC, USA
| | - Victor Apprey
- Department of Community and Family Medicine, Howard University, Washington DC, USA
| | - Robert L Copeland
- Department of Pharmacology, College of Medicine and Cancer Center, Howard University, Washington DC, USA
| | | | - Luciane R Cavalli
- Research Institute Pelé Pequeno Príncipe, Faculdades Pequeno Príncipe, Curitiba, PR, Brazil.
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington DC, USA.
| | - Yasmine Kanaan
- Department of Microbiology, Howard University Cancer Center, Howard University, Washington DC, USA
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Davis M, Martini R, Newman L, Elemento O, White J, Verma A, Datta I, Adrianto I, Chen Y, Gardner K, Kim HG, Colomb WD, Eltoum IE, Frost AR, Grizzle WE, Sboner A, Manne U, Yates C. Identification of Distinct Heterogenic Subtypes and Molecular Signatures Associated with African Ancestry in Triple Negative Breast Cancer Using Quantified Genetic Ancestry Models in Admixed Race Populations. Cancers (Basel) 2020; 12:E1220. [PMID: 32414099 PMCID: PMC7281131 DOI: 10.3390/cancers12051220] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 05/07/2020] [Accepted: 05/11/2020] [Indexed: 12/12/2022] Open
Abstract
Triple negative breast cancers (TNBCs) are molecularly heterogeneous, and the link between their aggressiveness with African ancestry is not established. We investigated primary TNBCs for gene expression among self-reported race (SRR) groups of African American (AA, n = 42) and European American (EA, n = 33) women. RNA sequencing data were analyzed to measure changes in genome-wide expression, and we utilized logistic regressions to identify ancestry-associated gene expression signatures. Using SNVs identified from our RNA sequencing data, global ancestry was estimated. We identified 156 African ancestry-associated genes and found that, compared to SRR, quantitative genetic analysis was a more robust method to identify racial/ethnic-specific genes that were differentially expressed. A subset of African ancestry-specific genes that were upregulated in TNBCs of our AA patients were validated in TCGA data. In AA patients, there was a higher incidence of basal-like two tumors and altered TP53, NFB1, and AKT pathways. The distinct distribution of TNBC subtypes and altered oncologic pathways show that the ethnic variations in TNBCs are driven by shared genetic ancestry. Thus, to appreciate the molecular diversity of TNBCs, tumors from patients of various ancestral origins should be evaluated.
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Affiliation(s)
- Melissa Davis
- Department of Surgery, Weill Cornell Medicine, New York, NY 10065, USA; (M.D.); (R.M.); (L.N.)
| | - Rachel Martini
- Department of Surgery, Weill Cornell Medicine, New York, NY 10065, USA; (M.D.); (R.M.); (L.N.)
| | - Lisa Newman
- Department of Surgery, Weill Cornell Medicine, New York, NY 10065, USA; (M.D.); (R.M.); (L.N.)
| | - Olivier Elemento
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA;
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10065, USA;
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Jason White
- Department of Biology and Center for Cancer Research, Tuskegee University, Tuskegee, AL 36088, USA; (J.W.); (W.D.C.)
| | - Akanksha Verma
- Department of Computational Biology, Weill Cornell Medicine, New York, NY 10065, USA;
| | - Indrani Datta
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI 48202, USA; (I.D.); (I.A.); (Y.C.)
| | - Indra Adrianto
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI 48202, USA; (I.D.); (I.A.); (Y.C.)
| | - Yalei Chen
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI 48202, USA; (I.D.); (I.A.); (Y.C.)
| | - Kevin Gardner
- Department of Pathology and Cell Biology, Columbia University, New York, NY 10027, USA;
| | - Hyung-Gyoon Kim
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USA; (H.-G.K.); (I.-E.E.); (A.R.F.); (W.E.G.)
| | - Windy D. Colomb
- Department of Biology and Center for Cancer Research, Tuskegee University, Tuskegee, AL 36088, USA; (J.W.); (W.D.C.)
- Department of Hematology and Oncology, Our Lady of Lourdes JD Moncus Cancer Center, Lafayette, LA 70508, USA
| | - Isam-Eldin Eltoum
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USA; (H.-G.K.); (I.-E.E.); (A.R.F.); (W.E.G.)
- O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Andra R. Frost
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USA; (H.-G.K.); (I.-E.E.); (A.R.F.); (W.E.G.)
- O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - William E. Grizzle
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USA; (H.-G.K.); (I.-E.E.); (A.R.F.); (W.E.G.)
- O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL 35233, USA
- Department of Surgery, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Andrea Sboner
- Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10065, USA;
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY 10062, USA
| | - Upender Manne
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USA; (H.-G.K.); (I.-E.E.); (A.R.F.); (W.E.G.)
- O’Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - Clayton Yates
- Department of Biology and Center for Cancer Research, Tuskegee University, Tuskegee, AL 36088, USA; (J.W.); (W.D.C.)
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5
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Edmonds MC, Sutton AL, He J, Perera RA, Sheppard VB. Correlates of Adjuvant Therapy Attitudes in African American Breast Cancer Patients. J Natl Med Assoc 2020; 112:167-175. [PMID: 32197898 DOI: 10.1016/j.jnma.2020.02.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 02/11/2020] [Indexed: 01/10/2023]
Abstract
PURPOSE Black breast cancer patients delay and underutilize adjuvant breast cancer therapies; yet, very few studies have specifically examined Black women's attitudes toward breast cancer therapy. This study observed the influence of self-reported interpersonal processes of care (e.g. self-efficacy) clinical and sociodemographic factors and sociocultural (e.g. religiosity), related to Black breast cancer patients' attitudes toward radiation and systemic therapies (chemotherapy and adjuvant endocrine therapy - "AET"). METHODS This was a secondary analysis of data from the Narrowing Gaps in Adjuvant Therapy Study (2006-2011). The analysis included 210 Black women who were newly diagnosed with breast cancer. Bivariate and multiple regression analyses were performed between independent variables (e.g., demographics) and three outcome variables (chemotherapy, AET, and radiation therapy) to asses women's perceptions of therapy type. The lasso method was used to select variables correlated with therapy attitudes. RESULTS Most women reported negative attitudes toward AET (56%) and radiation (54%); fewer negative attitudes were observed toward chemotherapy (47%). Higher education and greater perceived susceptibility of a recurrence were associated with more positive attitudes toward chemotherapy. Regarding radiation therapy, women with greater patient satisfaction were more likely to have more positive attitudes. CONCLUSIONS Our study findings may aid in the development of behavioral interventions targeted to mitigate Black women breast cancer treatment disparities. We found modifiable factors (e.g. communication, satisfaction ratings) that support opportunities for clinicians to better address Black women's needs regarding adjuvant treatment options. The development of tailored interventions for newly diagnosed Black breast cancer patients on patient related factors in health care are warranted for Black women with lower educational levels.
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Affiliation(s)
- Megan C Edmonds
- Department of Health Behavior and Policy, USA; VCU Massey Cancer Center Office of Health Equity and Disparities Research, 830 East Main Street, 9th Floor, Richmond, VA, 23219, USA.
| | - Arnethea L Sutton
- Department of Health Behavior and Policy, USA; VCU Massey Cancer Center Office of Health Equity and Disparities Research, 830 East Main Street, 9th Floor, Richmond, VA, 23219, USA
| | - Jun He
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Robert A Perera
- Department of Biostatistics, Virginia Commonwealth University School of Medicine, USA
| | - Vanessa B Sheppard
- Department of Health Behavior and Policy, USA; VCU Massey Cancer Center Office of Health Equity and Disparities Research, 830 East Main Street, 9th Floor, Richmond, VA, 23219, USA
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Zhong W, Chen S, Qin Y, Zhang H, Wang H, Meng J, Huai L, Zhang Q, Yin T, Lei Y, Han J, He L, Sun B, Liu H, Liu Y, Zhou H, Sun T, Yang C. Doxycycline inhibits breast cancer EMT and metastasis through PAR-1/NF-κB/miR-17/E-cadherin pathway. Oncotarget 2017; 8:104855-104866. [PMID: 29285218 PMCID: PMC5739605 DOI: 10.18632/oncotarget.20418] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Accepted: 06/27/2017] [Indexed: 01/12/2023] Open
Abstract
Doxycycline displays high efficiency for cancer therapy. However, the molecular mechanism is poorly understood. In our previous study, doxycycline was found to suppress tumor progression by directly targeting proteinase-activated receptor 1 (PAR1). In this study, microRNAs were found to be involved in PAR1-mediated anti-tumor effects of doxycycline. Among these miRNAs, miR-17 was found to promote breast cancer cell metastasis both in vivo and in vitro. Moreover, miR-17 could reverse partial doxycycline inhibition effects on breast cancer. Employing luciferase and chromatin immunoprecipitation assays, nuclear factor-kappaB (NF-κB) was found to bind miR-17 promoters. Furthermore, E-cadherin was identified as the target gene of miR-17. These results showed that miR-17 can resist the inhibitory effects of doxycycline on breast cancer epithelial–mesenchymal transformation (EMT) by targeting E-cadherin.
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Affiliation(s)
- Weilong Zhong
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China
| | - Shuang Chen
- Tianjin Key Laboratory of Molecular Drug Research, Tianjin International Joint Academy of Biomedicine, Tianjin, 300000, China
| | - Yuan Qin
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China
| | - Heng Zhang
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China
| | - Hongzhi Wang
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China
| | - Jing Meng
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China
| | - Longcong Huai
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China
| | - Qiang Zhang
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China
| | - Tingting Yin
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China
| | - Yueyang Lei
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China
| | - Jingxia Han
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China
| | - Lingfei He
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China
| | - Bo Sun
- Tianjin Key Laboratory of Molecular Drug Research, Tianjin International Joint Academy of Biomedicine, Tianjin, 300000, China
| | - Huijuan Liu
- Tianjin Key Laboratory of Molecular Drug Research, Tianjin International Joint Academy of Biomedicine, Tianjin, 300000, China
| | - Yanrong Liu
- Tianjin Key Laboratory of Molecular Drug Research, Tianjin International Joint Academy of Biomedicine, Tianjin, 300000, China
| | - Honggang Zhou
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China.,Tianjin Key Laboratory of Molecular Drug Research, Tianjin International Joint Academy of Biomedicine, Tianjin, 300000, China
| | - Tao Sun
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China.,Tianjin Key Laboratory of Molecular Drug Research, Tianjin International Joint Academy of Biomedicine, Tianjin, 300000, China
| | - Cheng Yang
- State Key Laboratory of Medicinal Chemical Biology and College of Pharmacy, Nankai University, Tianjin, 300000, China.,Tianjin Key Laboratory of Molecular Drug Research, Tianjin International Joint Academy of Biomedicine, Tianjin, 300000, China
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