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Liu G, Lin W, Zhang K, Chen K, Niu G, Zhu Y, Liu Y, Li P, Li Z, An Y. Elucidating the prognostic and therapeutic significance of TOP2A in various malignancies. Cancer Genet 2024; 288-289:68-81. [PMID: 39454521 DOI: 10.1016/j.cancergen.2024.10.005] [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: 07/24/2024] [Revised: 09/26/2024] [Accepted: 10/17/2024] [Indexed: 10/28/2024]
Abstract
Topoisomerase IIα (TOP2A) is a crucial enzyme that plays a vital role in DNA replication and transcription mechanisms. Dysregulated expression of TOP2A has been associated with various malignancies, including hepatocellular carcinoma, prostate cancer, colon cancer, lung cancer and breast cancer. In this review, we summarized the prognostic relevances of TOP2A in various types of cancer. The increased expression of TOP2A has been linked to resistance to therapy and reduced survival rates. Therefore, evaluating TOP2A levels could assist in identifying patients who may derive advantages from molecular targeted therapy. The amplification of TOP2A has been linked to a positive response to chemotherapy regimens that contain anthracycline. Nevertheless, the overexpression of TOP2A also indicates a heightened likelihood of disease recurrence and unfavorable prognosis. The prognostic significance of TOP2A has been extensively studied in various types of cancer. The increased expression of TOP2A is associated with poor clinical outcomes, indicating its potential as a valuable biomarker for assessing risk and stratifying treatment in these malignancies. However, further investigation is needed to elucidate the underlying mechanisms by which TOP2A influences cancer progression and to explore its potential as a therapeutic target.
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Affiliation(s)
- Guangchao Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; School of Stomatology, Henan University, Kaifeng, 475004, China
| | - Wenlong Lin
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; School of Stomatology, Henan University, Kaifeng, 475004, China
| | - Kaifeng Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; School of Stomatology, Henan University, Kaifeng, 475004, China
| | - Kangxu Chen
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; School of Stomatology, Henan University, Kaifeng, 475004, China
| | - Guanglin Niu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; School of Stomatology, Henan University, Kaifeng, 475004, China
| | - Yonghao Zhu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; School of Stomatology, Henan University, Kaifeng, 475004, China
| | - Yixuan Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key laboratory of cell signal transduction, Henan University, Kaifeng, 475004, China
| | - Pengkun Li
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key laboratory of cell signal transduction, Henan University, Kaifeng, 475004, China
| | - Zhihao Li
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key laboratory of cell signal transduction, Henan University, Kaifeng, 475004, China
| | - Yang An
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Henan University, Kaifeng, 475004, China; Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key laboratory of cell signal transduction, Henan University, Kaifeng, 475004, China.
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Chen Q, Gao P, Song Y, Huang X, Xiao Q, Chen X, Lv X, Wang Z. Predicting the effect of 5-fluorouracil-based adjuvant chemotherapy on colorectal cancer recurrence: A model using gene expression profiles. Cancer Med 2020; 9:3043-3056. [PMID: 32150672 PMCID: PMC7196071 DOI: 10.1002/cam4.2952] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 02/08/2020] [Accepted: 02/16/2020] [Indexed: 12/21/2022] Open
Abstract
It is critical to identify patients with stage II and III colorectal cancer (CRC) who will benefit from adjuvant chemotherapy (ACT) after curative surgery, while the only use of clinical factors is insufficient to predict this beneficial effect. In this study, we performed genetic algorithm (GA) to select ACT candidate genes, and built a predictive model of support vector machine (SVM) using gene expression profiles from the Gene Expression Omnibus database. The model contained four ACT candidate genes (EDEM1, MVD, SEMA5B, and WWP2) and TNM stage (stage II or III). After using Subpopulation Treatment Effect Pattern Plot to determine the optimal cutoff value of predictive scores, the validated patients from The Cancer Genome Atlas database can be divided into the predictive ACT-benefit/-futile groups. Patients in the predictive ACT-benefit group with 5-fluorouracil (5-Fu)-based ACT had significantly longer relapse-free survival (RFS) compared to those without ACT (P = .015); However, the difference in RFS in the predictive ACT-futile group was insignificant (P = .596). The multivariable analysis found that the predictive groups were significantly associated with the effect of ACT (Pinteraction = .011). Consequently, we developed a predictive model based on the SVM and GA algorithm which was further validated to define patients who benefit from ACT on recurrence.
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Affiliation(s)
- Quan Chen
- Department of Surgical Oncology and General SurgeryKey Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyang CityChina
| | - Peng Gao
- Department of Surgical Oncology and General SurgeryKey Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyang CityChina
| | - Yongxi Song
- Department of Surgical Oncology and General SurgeryKey Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyang CityChina
| | - Xuanzhang Huang
- Department of Surgical Oncology and General SurgeryKey Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyang CityChina
| | - Qiong Xiao
- Department of Surgical Oncology and General SurgeryKey Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyang CityChina
| | - Xiaowan Chen
- Department of Surgical Oncology and General SurgeryKey Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyang CityChina
| | - Xinger Lv
- Department of Surgical Oncology and General SurgeryKey Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyang CityChina
| | - Zhenning Wang
- Department of Surgical Oncology and General SurgeryKey Laboratory of Precision Diagnosis and Treatment of Gastrointestinal TumorsMinistry of EducationThe First Affiliated Hospital of China Medical UniversityShenyang CityChina
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Wang L, Ma Q, Yao H, He LJ, Fang BB, Cai W, Zhang B, Wang ZQ, Su YX, Du GL, Wang SX, Zhang ZX, Hou QQ, Cai R, He FP. Association of GCKR rs780094 polymorphism with circulating lipid levels in type 2 diabetes and hyperuricemia in Uygur Chinese. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY 2018; 11:4684-4694. [PMID: 31949869 PMCID: PMC6962982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 08/29/2018] [Indexed: 06/10/2023]
Abstract
To investigate the relationship between a GCKR rs780094 polymorphism and lipid profiles in the Xinjiang Uygur population in China. 980 type 2 diabetes mellitus (T2DM) patients, 1017 hyperuricemia (HUA) and 1185 healthy controls were included in this study. After genotyping of rs780094 by Sequenom Mass ARRAY system, chi-square test and logistic regression analysis were used for association analysis as well as a genotype-phenotype analysis. We found that the serum concentration of TC (P<0.001) was significantly higher and HDL-C (P<0.001) was lower in T2DM than in control participants. Subjects with HUA had a significantly higher TG (P=0.003) and lower HDL-C (P<0.001) than control participants. Additionally, under the recessive model, rs780094 was shown to be associated with the risk of HUA (P=0.015, OR=1.311), particularly in males (P=0.047, OR=1.330). Subsequent interaction analysis between rs780094 and lipid parameters showed that the TG level was positively correlated with HUA in the rs780094- AA+AG carriers (P=0.005). The TC concentrations showed to be associated with T2DM in the rs780094- AA+AG carriers (P<0.001). The association between lipid parameters and gender showed that significantly higher TG levels (P<0.001) and lower HDL-C levels (P<0.001) were observed in female HUA. Higher LDL-C levels were found in male HUA (P=0.015). Moreover, statistically higher TC levels and lower HDL-C levels were found both in male and female T2DM cases (TC: male: P<0.001, female: P=0.014. HDL-C: male: P<0.001, female: P<0.001.).To conclude, our results demonstrated that different genotypes of rs780094 had different effects on blood lipids in HUA and T2DM patients in a Uygur population. Gender was also one of the factors influencing blood lipid levels.
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Affiliation(s)
- Li Wang
- Key Laboratory of Xinjiang Metabolic Disease, The First Affiliated Hospital of Xinjiang Medical UniversityUrumqi, Xinjiang, China
| | - Qi Ma
- Key Laboratory of Xinjiang Metabolic Disease, The First Affiliated Hospital of Xinjiang Medical UniversityUrumqi, Xinjiang, China
| | - Hua Yao
- Key Laboratory of Xinjiang Metabolic Disease, The First Affiliated Hospital of Xinjiang Medical UniversityUrumqi, Xinjiang, China
| | - Li-Juan He
- Occupational and Environmental Health, Xinjiang Medical UniversityXinjiang, China
| | - Bin-Bin Fang
- Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical UniversityUrumqi, Xinjiang, China
| | - Wen Cai
- Department of Nursing, Xinjiang Medical UniversityXinjiang, China
| | - Bei Zhang
- College of Fundamental, Xinjiang Medical UniversityXinjiang, China
| | - Zhi-Qiang Wang
- Occupational and Environmental Health, Xinjiang Medical UniversityXinjiang, China
| | - Yin-Xia Su
- Department of Cadre Healthcare, The First Affiliated Hospital of Xinjiang Medical UniversityUrumqi, Xinjiang, China
| | - Guo-Li Du
- Department of Endocrinology, The First Affiliated Hospital of Xinjiang Medical UniversityUrumqi, Xinjiang, China
| | - Shu-Xia Wang
- Department of Cadre Healthcare, The First Affiliated Hospital of Xinjiang Medical UniversityUrumqi, Xinjiang, China
| | - Zhao-Xia Zhang
- Department of Laboratory Medicine,The First Affiliated Hospital of Xinjiang Medical UniversityUrumqi, Xinjiang, China
| | - Qin-Qin Hou
- Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical UniversityUrumqi, Xinjiang, China
| | - Ren Cai
- Clinical Medical Research Institute, The First Affiliated Hospital of Xinjiang Medical UniversityUrumqi, Xinjiang, China
| | - Fang-Ping He
- Department of Liver Disease, The First Affiliated Hospital of Xinjiang Medical UniversityUrumqi, Xinjiang, China
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BCL2 is an independent predictor of outcome in basal-like triple-negative breast cancers treated with adjuvant anthracycline-based chemotherapy. Tumour Biol 2015; 36:4243-52. [PMID: 25616695 DOI: 10.1007/s13277-015-3061-7] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2014] [Accepted: 01/05/2015] [Indexed: 12/31/2022] Open
Abstract
Neither targeted therapies nor predictors for chemotherapy sensitivity are available for triple-negative breast cancer (TNBC). Our study included 187 patients with TNBC, 164 of whom were treated with anthracycline-based adjuvant chemotherapy. Eleven molecular biomarkers were analyzed. BCL2, epidermal growth factor receptor (EGFR), MYC, TOP2A, and Ki-67 protein expression was evaluated by immunohistochemistry. The status of the EGFR, MYC, and TOP2A genes and chromosomes 7, 8, and 17 was assessed using fluorescence in situ hybridization. High BCL2 expression predicted poor relapse-free survival (RFS) in patients treated with anthracycline-based adjuvant chemotherapy (p = 0.035), poor breast cancer-specific survival (BCSS) (p = 0.048), and a trend to poor overall survival (OS) (p = 0.085). High levels of BCL2 expression predicted poor OS in basal-like (BL) TNBC patients treated with adjuvant anthracycline-based regimens (log-rank p = 0.033, hazard ratio (HR) 3.04, 95 % confidence interval (CI) 1.04-8.91) and a trend to poor RFS (log-rank p = 0.079) and poor BCSS (log-rank p = 0.056). Multivariate analysis showed that BCL2 status, tumor size, and nodal status all had independent predictive significance for RFS (p = 0.005, p = 0.091, p = 0.003, respectively; likelihood ratio test for the whole model, p = 0.003), BCSS (p = 0.012, p = 0.077, p = 0.01, respectively; likelihood ratio test for the whole model, p = 0.016), and OS (p = 0.008, p = 0.004, p = 0.004, respectively; likelihood ratio test for the whole model, p = 0.0006). Similarly, multivariate analysis for BL TNBC showed BCL2, tumor size, and nodal status all had independent predictive significance for RFS (likelihood ratio test for the whole model, p = 0.00125), BCSS (p = 0.00035), and OS (p = 0.00063). High EGFR expression was associated with poor BCSS (p = 0.039) in patients treated with anthracycline-based adjuvant chemotherapy. Patients who underwent anthracycline-based adjuvant chemotherapy and exhibited CMYC amplification had a trend to worse BCSS (p = 0.066). In conclusion, high BCL2 expression is a significant independent predictor of poor outcome in TNBC patients treated with anthracycline-based adjuvant chemotherapy, and this is the first study showing the BCL2 prediction in BL TNBC. BCL2 expression analysis could facilitate decision making on adjuvant treatment in TNBC patients.
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Almeida D, Gerhard R, Leitão D, Davilla C, Damasceno M, Schmitt F. Topoisomerase II-alfa gene as a predictive marker of response to anthracyclines in breast cancer. Pathol Res Pract 2014; 210:675-9. [PMID: 25042383 DOI: 10.1016/j.prp.2014.06.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2013] [Revised: 05/06/2014] [Accepted: 06/24/2014] [Indexed: 11/17/2022]
Abstract
Amplification or deletion of the topoisomerase IIα (TOP2A) gene in breast cancer has been related with responsiveness to anthracyclines-based chemotherapy. The purpose of this study was to evaluate the predictive value of TOP2A gene for the efficacy of neo-adjuvant anthracycline in a population with locally advanced breast cancer. Sixty-two patients were included, and the status of TOP2A gene was determined by in situ hybridization method. Treatment efficacy was determined by clinical and pathological response and overall survival. TOP2A gene alterations were found in 22.6% (21.0% of cases with amplification and 1.6% with deletion), and these tumors were biologically more aggressive, with higher nuclear grade, more frequently with HER2 amplification and inflammatory type. Also in these tumors response to chemotherapy appeared to be increased. There was a higher clinical and pathological response rate (complete pathological response of 21.4% vs. 8.3%), a trend toward longer progression-free survival (82.51 vs. 63.12 months) and a trend to increased overall survival (92.08 months; 95% CI 82.81-101.35 vs. 73.40 months; 95% CI 63.44-83.36; p=0.113). These results corroborate that the TOP2A gene alterations may play an important role in determining anthracycline sensitivity in breast cancer.
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Affiliation(s)
- Daniela Almeida
- Medical Oncology Department, Centro Hospitalar de São João, Porto, Portugal
| | - Renê Gerhard
- Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal; Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto and Department of Pathology, University Health Network, Toronto, Canada
| | - Dina Leitão
- Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal; Department of Pathology and Oncology, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Cristina Davilla
- Medical Oncology Department, Centro Hospitalar de São João, Porto, Portugal
| | - Margarida Damasceno
- Medical Oncology Department, Centro Hospitalar de São João, Porto, Portugal; Department of Pathology and Oncology, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Fernando Schmitt
- Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal; Department of Laboratory Medicine and Pathobiology, Faculty of Medicine, University of Toronto and Department of Pathology, University Health Network, Toronto, Canada.
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Moretti E, Desmedt C, Biagioni C, Regan MM, Oakman C, Larsimont D, Galardi F, Piccart-Gebhart M, Sotiriou C, Rimm DL, Di Leo A. TOP2A protein by quantitative immunofluorescence as a predictor of response to epirubicin in the neoadjuvant treatment of breast cancer. Future Oncol 2013; 9:1477-87. [DOI: 10.2217/fon.13.103] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: Anthracyclines are commonly used in breast cancer, although they lack validated predictive biomarkers. We explored the interaction between TOP2A protein by quantitative immunofluorescence (QIF) and anthracycline sensitivity. Patients & methods: Patients with estrogen receptor-negative breast cancer received neoadjuvant epirubicin. Pretreatment biopsies were analyzed using AQUA®. Total, cytoplasmic (C) and nuclear (N) TOP2A protein concentrations were expressed as QIF scores and compared with pathologic complete response (pCR), TOP2A by immunohistochemistry, TOP2A mRNA, TOP2A and HER2 gene status, and Ki-67 level. Results: In total, 76 cases were assessable. C, N, and total scores did not correlate with pCR, or other markers. The N:C ratio differed significantly by HER2 status. No pCRs occurred in patients in the lowest N:C quartile. Conclusion: Although no relevant correlation between TOP2A QIF scores and pCR was found, N:C ratio may have a negative predictive role, and may merit further exploration in a multifactorial predictive model that includes tumor and host factors.
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Affiliation(s)
- Erica Moretti
- ‘Sandro Pitigliani‘ Medical Oncology Unit, Hospital of Prato, Istituto Toscano Tumori, Piazza Ospedale 2, 59100, Prato, Italy
| | - Christine Desmedt
- Breast Cancer Translational Research Laboratory JC Heuson, Jules Bordet Institute, 121 Boulevard de Waterloo, 1000 Brussels, Belgium
| | - Chiara Biagioni
- ‘Sandro Pitigliani‘ Medical Oncology Unit, Hospital of Prato, Istituto Toscano Tumori, Piazza Ospedale 2, 59100, Prato, Italy
| | - Meredith M Regan
- Department of Biostatistics & Computational Biology, Dana-Farber Cancer Institute & Harvard Medical School, 450 Brookline Avenue CLSB 11046, Boston, MA 02215, USA
| | - Catherine Oakman
- ‘Sandro Pitigliani‘ Medical Oncology Unit, Hospital of Prato, Istituto Toscano Tumori, Piazza Ospedale 2, 59100, Prato, Italy
| | - Denis Larsimont
- Department of Pathology, Jules Bordet Institute, 121 Boulevard de Waterloo, 1000 Brussels, Belgium
| | - Francesca Galardi
- Translational Research Unit, Hospital of Prato, Istituto Toscano Tumori, Piazza Ospedale 2, 59100 Prato, Italy
| | - Martine Piccart-Gebhart
- Department of Medical Oncology, Jules Bordet Institute, Université Libre de Bruxelles, 121 Boulevard de Waterloo, 1000 Brussels, Belgium
| | - Christos Sotiriou
- Breast Cancer Translational Research Laboratory JC Heuson, Jules Bordet Institute, 121 Boulevard de Waterloo, 1000 Brussels, Belgium
| | - David L Rimm
- Department of Pathology, Yale University School of Medicine, PO Box 208023, 310 Cedar Street, New Haven, CT 06520-8023, USA
| | - Angelo Di Leo
- ‘Sandro Pitigliani‘ Medical Oncology Unit, Hospital of Prato, Istituto Toscano Tumori, Piazza Ospedale 2, 59100, Prato, Italy
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Utilization of fluorescence in situ hybridization with cytokeratin discriminators in TOP2A assessment of chemotherapy-treated patients with breast cancer. Hum Pathol 2012; 43:1363-75. [DOI: 10.1016/j.humpath.2011.08.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2011] [Revised: 08/29/2011] [Accepted: 08/31/2011] [Indexed: 02/05/2023]
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Cheang MCU, Voduc KD, Tu D, Jiang S, Leung S, Chia SK, Shepherd LE, Levine MN, Pritchard KI, Davies S, Stijleman IJ, Davis C, Ebbert MTW, Parker JS, Ellis MJ, Bernard PS, Perou CM, Nielsen TO. Responsiveness of intrinsic subtypes to adjuvant anthracycline substitution in the NCIC.CTG MA.5 randomized trial. Clin Cancer Res 2012; 18:2402-12. [PMID: 22351696 DOI: 10.1158/1078-0432.ccr-11-2956] [Citation(s) in RCA: 105] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
PURPOSE Recent studies suggest that intrinsic breast cancer subtypes may differ in their responsiveness to specific chemotherapy regimens. We examined this hypothesis on NCIC.CTG MA.5, a clinical trial randomizing premenopausal women with node-positive breast cancer to adjuvant CMF (cyclophosphamide-methotrexate-fluorouracil) versus CEF (cyclophosphamide-epirubicin-fluorouracil) chemotherapy. EXPERIMENTAL DESIGN Intrinsic subtype was determined for 476 tumors using the quantitative reverse transcriptase PCR PAM50 gene expression test. Luminal A, luminal B, HER2-enriched (HER2-E), and basal-like subtypes were correlated with relapse-free survival (RFS) and overall survival (OS), estimated using Kaplan-Meier plots and log-rank testing. Multivariable Cox regression analyses determined significance of interaction between treatment and intrinsic subtypes. RESULTS Intrinsic subtypes were associated with RFS (P = 0.0005) and OS (P < 0.0001) on the combined cohort. The HER2-E showed the greatest benefit from CEF versus CMF, with absolute 5-year RFS and OS differences exceeding 20%, whereas there was a less than 2% difference for non-HER2-E tumors (interaction test P = 0.03 for RFS and 0.03 for OS). Within clinically defined Her2(+) tumors, 79% (72 of 91) were classified as the HER2-E subtype by gene expression and this subset was strongly associated with better response to CEF versus CMF (62% vs. 22%, P = 0.0006). There was no significant difference in benefit between CEF and CMF in basal-like tumors [n = 94; HR, 1.1; 95% confidence interval (CI), 0.6-2.1 for RFS and HR, 1.3; 95% CI, 0.7-2.5 for OS]. CONCLUSION HER2-E strongly predicted anthracycline sensitivity. The chemotherapy-sensitive basal-like tumors showed no added benefit for CEF over CMF, suggesting that nonanthracycline regimens may be adequate in this subtype although further investigation is required.
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Affiliation(s)
- Maggie C U Cheang
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, North Carolina, USA
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Press MF, Bernstein L, Sullivan-Halley J, Buyse M, Sauter G, Slamon DJ. Reply to R. Simon. J Clin Oncol 2011. [DOI: 10.1200/jco.2011.35.2468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Michael F. Press
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA
| | - Leslie Bernstein
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles; City of Hope National Medical Center, Duarte, CA
| | | | - Marc Buyse
- International Drug Development Institute, Louvain-la-Neuve, Belgium
| | - Guido Sauter
- University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany
| | - Dennis J. Slamon
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA
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Nikolényi A, Sükösd F, Kaizer L, Csörgo E, Vörös A, Uhercsák G, Ormándi K, Lázár G, Thurzó L, Brodowicz T, Kahán Z. Tumor topoisomerase II alpha status and response to anthracycline-based neoadjuvant chemotherapy in breast cancer. Oncology 2011; 80:269-77. [PMID: 21734419 DOI: 10.1159/000329038] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2011] [Accepted: 04/01/2011] [Indexed: 11/19/2022]
Abstract
OBJECTIVES Individualized chemotherapy for breast cancer improves the outcome. Anthracyclines target the enzyme topoisomerase IIα (TOP2A). We set out to perform a retrospective study of the presence of gene abnormalities and the expression of TOP2A in a cohort of breast cancer patients treated with neoadjuvant anthracycline-based chemotherapy. METHODS Forty-three patients with 45 breast cancers were treated with neoadjuvant docetaxel-epirubicin with/without capecitabine chemotherapy. The TOP2A status of the cancers, determined retrospectively by fluorescent in situ hybridization and immunohistochemistry, was analyzed in relation to the standard clinical and pathological data. RESULTS Clinically and pathologically complete remission (pCR) was achieved in 15 (33.3%) and 9 (20%) cases, respectively. The TOP2A gene was amplified in 2 human epidermal growth factor receptor 2 (HER2)-positive cancers (8%), and 32 (84.2%) overall exhibited TOP2A expression in >15% of the cells. The expression of TOP2A exhibited a strong correlation with the expression of Ki67 (R = 0.743, p < 0.001), and was negatively correlated with estrogen receptors (ER; R = 0.404, p = 0.012) and progesterone receptors (R = 0.430, p = 0.007). The expression of TOP2A was not related to the amplification of the TOP2A gene or the HER2 status of the tumor. The proportions of Ki67- and TOP2A-positive tumor cells were significantly reduced after chemotherapy (56.1 ± 23.6 vs. 19.0 ± 27.7%, p = 0.004, and 41.0 ± 27.9 vs. 12.7 ± 24.8%, p < 0.001, respectively). The development of pCR was related to a high grade (p = 0.054), ER negativity (p = 0.027) and high TOP2A expression (p = 0.037). The expression of TOP2A was an independent predictor of pCR (OR = 1.460, for every 10% increase, 95% CI: 1.016-2.096, p = 0.041). After a median follow-up time of 31.0 months, neither relapse-free survival nor overall survival was related to the tumor response. CONCLUSIONS TOP2A expression is a marker of the tumor's proliferation rate and sensitivity to anthracycline-based chemotherapy, and does not depend on the amplification of its gene.
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Affiliation(s)
- Alíz Nikolényi
- Department of Oncotherapy, University of Szeged, Szeged, Hungary
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Nikolényi A, Uhercsák G, Csenki M, Hamar S, Csörgo E, Tánczos E, Thurzó L, Brodowicz T, Wagnerova M, Kahán Z. Tumour topoisomerase II alpha protein expression and outcome after adjuvant dose-dense anthracycline-based chemotherapy. Pathol Oncol Res 2011; 18:61-8. [PMID: 21681601 DOI: 10.1007/s12253-011-9417-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2011] [Accepted: 05/12/2011] [Indexed: 10/18/2022]
Abstract
There is a need for the selection of those breast cancers where benefit may be attained from the addition of an anthracycline to the adjuvant chemotherapy. The expression of topoisomerase II alpha (TOP2A) protein in 3 cohorts of breast cancers treated with adjuvant dose-dense anthracycline-based chemotherapy was determined retrospectively. The TOP2A status was analysed in relation with the other standard tumour features and the outcome. TOP2A IHC results were assessable in 106 patients: with a cut-off value of 15%, 48% of the tumours were classified as TOP2A-positive. The expression of TOP2A correlated with that of Ki67 (R = 0.532, p < 0.001) and a high grade (p = 0.04), but did not correlate with the proportion of ER- or PR-positive cells in the tumour. More tumors were TOP2A-negative among the ER- or PR-positive cancers than among the ER/PR-negative cancers (p = 0.021 and p = 0.002, respectively). After a median follow-up time of 64.5 months, 31 relapses (23.5%) and 23 deaths (17.4%) had occurred in 131 patients. The overall survival was longer in the TOP2A-positive cases than in the TOP2A-negative cases. The recurrence-free survival and the overall survival were significantly more favourable in the ER/PR-negative and TOP2A-positive tumours than in other subgroups. In a Cox proportional hazards model, the grade and TOP2A remained significant determinants in the ER/PR-negative subgroup. TOP2A positivity and grade 3 indicated a decrease in the risk of death with HR = 0.211 (95% CI: 0.042-1.05, p = 0.056) and HR = 0.216 (95% CI: 0.047-0.990, p = 0.048), respectively. A higher sensitivity to anthracycline-containing regimens is suggested in ER/PR-negative and TOP2A-positive cancers.
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Affiliation(s)
- Alíz Nikolényi
- Department of Oncotherapy, University of Szeged, Hungary
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Bonetti S, Trombetta M, Boselli ML, Turrini F, Malerba G, Trabetti E, Pignatti PF, Bonora E, Bonadonna RC. Variants of GCKR affect both β-cell and kidney function in patients with newly diagnosed type 2 diabetes: the Verona newly diagnosed type 2 diabetes study 2. Diabetes Care 2011; 34:1205-10. [PMID: 21411509 PMCID: PMC3114499 DOI: 10.2337/dc10-2218] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE In genome-wide association studies, performed mostly in nondiabetic individuals, genetic variability of glucokinase regulatory protein (GCKR) affects type 2 diabetes-related phenotypes, kidney function, and risk of chronic kidney disease (CKD). We tested whether GCKR variability affects type 2 diabetes or kidney-related phenotypes in newly diagnosed type 2 diabetes. RESEARCH DESIGN AND METHODS In 509 GAD-negative patients with newly diagnosed type 2 diabetes, we 1) genotyped six single nucleotide polymorphisms in GCKR genomic region: rs6717980, rs1049817, rs6547626, rs780094, rs2384628, and rs8731; 2) assessed clinical phenotypes, insulin sensitivity by the euglycemic insulin clamp, and β-cell function by state-of-the-art modeling of glucose/C-peptide curves during an oral glucose tolerance test; and 3) estimated glomerular filtration rate (eGFR) by the Modification of Diet in Renal Disease formula. RESULTS The major alleles of rs6717980 and rs2384628 were associated with reduced β-cell function (P < 0.05), with mutual additive effects of each variant (P < 0.01). The minor alleles of rs1049817 and rs6547626 and the major allele of rs780094 were associated with reduced eGFR according to a recessive model (P < 0.03), but with no mutual additive effects of the variants. Additional associations were found between rs780094 and 2-h plasma glucose (P < 0.05) and rs8731 and insulin sensitivity (P < 0.05) and triglycerides (P < 0.05). CONCLUSIONS Our findings are compatible with the idea that GCKR variability may play a pathogenetic role in both type 2 diabetes and CKD. Genotyping GCKR in patients with newly diagnosed type 2 diabetes might help in identifying patients at high risk for metabolic derangements or CKD.
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Affiliation(s)
- Sara Bonetti
- Department ofMedicine,University of Verona, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
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Re-searching anthracycline therapy. Breast Cancer Res Treat 2010; 123:171-5. [DOI: 10.1007/s10549-010-0985-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2010] [Accepted: 06/04/2010] [Indexed: 11/26/2022]
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