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Yee EK, Hallet J, Look Hong NJ, Nguyen L, Coburn N, Wright FC, Gandhi S, Jerzak KJ, Eisen A, Roberts A. Impact of Location of Residence and Distance to Cancer Centre on Medical Oncology Consultation and Neoadjuvant Chemotherapy for Triple-Negative and HER2-Positive Breast Cancer. Curr Oncol 2024; 31:4728-4745. [PMID: 39195336 PMCID: PMC11352802 DOI: 10.3390/curroncol31080353] [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: 07/03/2024] [Revised: 07/25/2024] [Accepted: 08/12/2024] [Indexed: 08/29/2024] Open
Abstract
Despite consensus guidelines, most patients with early-stage triple-negative (TN) and HER2-positive (HER2+) breast cancer do not see a medical oncologist prior to surgery and do not receive neoadjuvant chemotherapy (NAC). To understand barriers to care, we aimed to characterize the relationship between geography (region of residence and cancer centre proximity) and receipt of a pre-treatment medical oncology consultation and NAC for patients with TN and HER2+ breast cancer. Using linked administrative datasets in Ontario, Canada, we performed a retrospective population-based analysis of women diagnosed with stage I-III TN or HER2+ breast cancer from 2012 to 2020. The outcomes were a pre-treatment medical oncology consultation and the initiation of NAC. We created choropleth maps to assess the distribution of the outcomes and cancer centres across census divisions. To assess the relationship between distance to the nearest cancer centre and outcomes, we performed multivariable regression analyses adjusted for relevant factors, including tumour extent and nodal status. Of 14,647 patients, 29.9% received a pre-treatment medical oncology consultation and 77.7% received NAC. Mapping demonstrated high interregional variability, ranging across census divisions from 12.5% to 64.3% for medical oncology consultation and from 8.8% to 64.3% for NAC. In the full cohort, compared to a distance of ≤5 km from the nearest cancer centre, only 10-25 km was significantly associated with lower odds of NAC (OR 0.83, 95% CI 0.70-0.99). Greater distances were not associated with pre-treatment medical oncology consultation. The interregional variability in medical oncology consultation and NAC for patients with TN and HER2+ breast cancer suggests that regional and/or provider practice patterns underlie discrepancies in the referral for and receipt of NAC. These findings can inform interventions to improve equitable access to NAC for eligible patients.
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Affiliation(s)
- Elliott K. Yee
- Department of Surgery, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Julie Hallet
- Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
- Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
| | - Nicole J. Look Hong
- Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
- Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- ICES, Toronto, ON M4N 3M5, Canada
| | | | - Natalie Coburn
- Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
- Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- ICES, Toronto, ON M4N 3M5, Canada
| | - Frances C. Wright
- Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
- Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
| | - Sonal Gandhi
- Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
| | - Katarzyna J. Jerzak
- Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
| | - Andrea Eisen
- Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
- Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
| | - Amanda Roberts
- Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, ON M4N 3M5, Canada
- Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada
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Wang Y, Xu Y, Zhang Y. A novel ferroptosis-related long noncoding RNA signature for relapse free survival prediction in patients with breast cancer. Medicine (Baltimore) 2022; 101:e29573. [PMID: 35945765 PMCID: PMC9351903 DOI: 10.1097/md.0000000000029573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Ferroptosis is the process of cell death dependent on iron. Growing evidence suggests that ferroptosis plays vital roles in the biological process of many cancers. However, just a small number of ferroptosis-related lncRNAs have been explored in depth. Ferroptosis-related lncRNAs in breast cancer (BC) were identified by co-expression analysis based on The Cancer Genome Atlas database (TCGA). The whole set was divided into a training set and a test set with a 1:1 ratio. Univariate Cox regression and LASSO analyses were performed to establish a signature in the 3 sets. Kaplan-Meier analysis and receiver operating characteristic (ROC) for the 3 sets validated the effectiveness and robustness of the signature. Besides, we also explore the relationship between this and clinical characteristics, immune cell infiltration and tumor microenvironment. Meanwhile, the nomogram was drawn by screening indicators of independent recurrent prediction. Finally, we evaluated the relationships between the signature and tumor microenvironment. We identified 391 ferroptosis-related lncRNAs and constructed a 5 lncRNAs-based signature in the training, test, and whole sets, stratifying patients into high-risk and low-risk groups. According to survival analysis, patients in the high-risk groups had worse relapse free survival (RFS) compared to the low risk-groups. The ROC curves indicated that the recurrent signature had a promising predictive capability for BC patients. Moreover, an independent factors-based nomogram model could offer the quantitative prediction and net benefit for the recurrence of BC patients. Finally, the microenvironment, including tumor mutational burden (TMB), immune cell functions and immune checkpoints, showed big differences between the 2 groups. The 5 ferroptosis-related lncRNAs and their signature might be novel promising biomarkers and immunotherapy targets for patients with BC.
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Affiliation(s)
- Yuzhi Wang
- Department of Laboratory Medicine, People’s Hospital of Deyang City, Deyang, Sichuan, P. R. China
| | - Yunfei Xu
- Department of Laboratory Medicine, Chengdu Women’s and Children’s Central Hospital, Chengdu, Sichuan, P. R. China
| | - Yi Zhang
- Department of Blood Transfusion, People’s Hospital of Deyang City, Deyang, Sichuan, P. R. China
- *Correspondence: Yi Zhang, People’s Hospital of Deyang City, No. 173, Section 1, Taishan North Road, Deyang City, Sichuan 618000, China (e-mail: )
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Zhang X, Li H, Wang C, Cheng W, Zhu Y, Li D, Jing H, Li S, Hou J, Li J, Li Y, Zhao Y, Mo H, Pang D. Evaluating the Accuracy of Breast Cancer and Molecular Subtype Diagnosis by Ultrasound Image Deep Learning Model. Front Oncol 2021; 11:623506. [PMID: 33747937 PMCID: PMC7973262 DOI: 10.3389/fonc.2021.623506] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 02/15/2021] [Indexed: 12/24/2022] Open
Abstract
Background: Breast ultrasound is the first choice for breast tumor diagnosis in China, but the Breast Imaging Reporting and Data System (BI-RADS) categorization routinely used in the clinic often leads to unnecessary biopsy. Radiologists have no ability to predict molecular subtypes with important pathological information that can guide clinical treatment. Materials and Methods: This retrospective study collected breast ultrasound images from two hospitals and formed training, test and external test sets after strict selection, which included 2,822, 707, and 210 ultrasound images, respectively. An optimized deep learning model (DLM) was constructed with the training set, and the performance was verified in both the test set and the external test set. Diagnostic results were compared with the BI-RADS categorization determined by radiologists. We divided breast cancer into different molecular subtypes according to hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) expression. The ability to predict molecular subtypes using the DLM was confirmed in the test set. Results: In the test set, with pathological results as the gold standard, the accuracy, sensitivity and specificity were 85.6, 98.7, and 63.1%, respectively, according to the BI-RADS categorization. The same set achieved an accuracy, sensitivity, and specificity of 89.7, 91.3, and 86.9%, respectively, when using the DLM. For the test set, the area under the curve (AUC) was 0.96. For the external test set, the AUC was 0.90. The diagnostic accuracy was 92.86% with the DLM in BI-RADS 4a patients. Approximately 70.76% of the cases were judged as benign tumors. Unnecessary biopsy was theoretically reduced by 67.86%. However, the false negative rate was 10.4%. A good prediction effect was shown for the molecular subtypes of breast cancer with the DLM. The AUC were 0.864, 0.811, and 0.837 for the triple-negative subtype, HER2 (+) subtype and HR (+) subtype predictions, respectively. Conclusion: This study showed that the DLM was highly accurate in recognizing breast tumors from ultrasound images. Thus, the DLM can greatly reduce the incidence of unnecessary biopsy, especially for patients with BI-RADS 4a. In addition, the predictive ability of this model for molecular subtypes was satisfactory,which has specific clinical application value.
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Affiliation(s)
- Xianyu Zhang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Hui Li
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Chaoyun Wang
- Harbin Engineering University Automation College, Harbin, China
| | - Wen Cheng
- Department of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, China
| | - Yuntao Zhu
- Harbin Engineering University Automation College, Harbin, China
| | - Dapeng Li
- Department of Epidemiology, Harbin Medical University, Harbin, China
| | - Hui Jing
- Department of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, China
| | - Shu Li
- Prenatal Diagnosis Center, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jiahui Hou
- Department of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, China
| | - Jiaying Li
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Yingpu Li
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Yashuang Zhao
- Department of Epidemiology, Harbin Medical University, Harbin, China
| | - Hongwei Mo
- Harbin Engineering University Automation College, Harbin, China
| | - Da Pang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China
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Wu Y, Han Y, Yu P, Ouyang Q, Yan M, Wang X, Hu X, Jiang Z, Huang T, Tong Z, Wang S, Yin Y, Li H, Yang R, Yang H, Teng Y, Sun T, Cai L, Li H, Chen X, He J, Liu X, Yang S, Qiao Y, Fan J, Wang J, Xu B. Endocrine Therapy for Hormone Receptor-Positive Advanced Breast Cancer: A Nation-Wide Multicenter Epidemiological Study in China. Front Oncol 2021; 10:599604. [PMID: 33643905 PMCID: PMC7905089 DOI: 10.3389/fonc.2020.599604] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 12/29/2020] [Indexed: 01/07/2023] Open
Abstract
Background Clinical guidelines generally recommend endocrine therapy (ET) as first-line treatment of hormone receptor-positive advanced breast cancer (HR+ ABC) whereas chemotherapy (CT) should be considered in the presence of life-threatening disease or limited clinical benefit after three sequential ET regimens. However, it is unclear if real-world clinical practice is in accordance with the current guidelines. This study was to present the real-world treatment patterns and ET regimens among HR+ ABC patients in China. Methods Using data from the Nation-wide Multicenter Retrospective Clinical Epidemiology Study of Female Advanced Breast Cancer in China (ClinicalTrials.gov identifier: NCT03047889), we investigated the clinicopathological characteristics, clinical profiles, and treatment patterns of HR+ ABC patients from January 2012 to December 2014. Results A total of 2,342 patients with HR+ ABC were included in this study. Our findings revealed that, in comparisons with those receiving initial CT (n = 1445), patients initiated ET (n =402) were significantly older, later recurrent after adjuvant treatment, with a lower rate of visceral involvement and a decreasing quantity of metastatic sites. A total of 1,308 patients received palliative ET while only 18.9% patients (n = 247) reached three lines of ET. Among patients completing more than one line of ET, the median treatment duration was 8 months for the first line, 6 months for the second line, and 3 months for the third line for patients receiving ET. In the advanced setting, the choices of palliative ET regimens were diverse, yet aromatase inhibitor (AI) monotherapy was still the overall mainstay of ET; in contrast, patients were less accessible to everolimus plus AI regimen in this population. Conclusions Less than one quarter of patients initiated palliative ET for HR+ ABC in routine clinical practice. Patients who received multi-lines of ET experienced successive shorter durations following each line of therapy. This real-life data provides a solid overview of ET for HR+ ABC from China, indicating unmet need for treatment options that improve the effectiveness of endocrine therapy.
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Affiliation(s)
- Yun Wu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yiqun Han
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Pei Yu
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Quchang Ouyang
- Department of Breast Cancer Medical Oncology, Hunan Cancer Hospital, Changsha, China
| | - Min Yan
- Department of Breast Disease, Henan Breast Cancer Center, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Xiaojia Wang
- Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou, China
| | - Xichun Hu
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Zefei Jiang
- Department of Breast Cancer, The Fifth Medical Centre of Chinese PLA General Hospital, Beijing, China
| | - Tao Huang
- Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhongsheng Tong
- Department of Breast Oncology, Key Laboratory of Breast Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Shusen Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yongmei Yin
- Department of Medical Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hui Li
- Department of Breast Surgery, Sichuan Province Tumor Hospital, Chengdu, China
| | - Runxiang Yang
- Department of Medical Oncology, Yunnan Cancer Hospital, Kunming Medical University, Kunming, China
| | - Huawei Yang
- Department of Breast Surgery, The Affiliated Tumor Hospital of Guangxi Medical University, Guangxi, China
| | - Yuee Teng
- Department of Medical Oncology and Thoracic Surgery, The First Hospital of China Medical University, Shenyang, China
| | - Tao Sun
- Department of Medical Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Key Laboratory of Liaoning Breast Cancer Research, Shenyang, China
| | - Li Cai
- The 4th Department of Internal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Hongyuan Li
- Department of the Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Xi Chen
- Department of Medicine Oncology, 900 Hospital of the Joint Logistics Team, Fuzhou, China
| | - Jianjun He
- Department of Breast Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xinlan Liu
- Department of Oncology, General Hospital of Ningxia Medical University, Ningxia, China
| | - Shune Yang
- Department of Breast Cancer and Lymphoma, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China
| | - Youlin Qiao
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jinhu Fan
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jiayu Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Binghe Xu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Shi F, Chang H, Zhou Q, Zhao YJ, Wu GJ, Song QK. Distribution of CD4 + and CD8 + exhausted tumor-infiltrating lymphocytes in molecular subtypes of Chinese breast cancer patients. Onco Targets Ther 2018; 11:6139-6145. [PMID: 30288049 PMCID: PMC6160273 DOI: 10.2147/ott.s168057] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
PURPOSE Breast cancer (BC) is the leading cancer affecting Chinese women; however, the immune microenvironment between molecular subtypes is less reported. This study aimed to investigate the distribution of tumor-infiltrating lymphocyte (TIL) subpopulations, especially exhausted CD4+ and CD8+ TILs in Chinese BC patients. PATIENTS AND METHODS A total of 133 patients with breast invasive ductal carcinoma were recruited consecutively from January 1, 2012 to December 31, 2013, and TILs were detected in H&E-stained sections. Expression profiling of PD-1, CD4, and CD8 was determined by immunohistochemistry on 4 µm formalin-fixed paraffin-embedded tissue sections. The distribution of TILs was analyzed based on hormone receptor status and molecular subtypes. RESULTS PD-1+, CD4+, and CD8+ TILs distributed differently based on molecular subtypes. Compared to Luminal A, triple-negative breast cancer (TNBC) patients had more PD-1+ TILs (39/high-power field [HPF] vs 11/HPF), PD-1+ helper T (CD4+) cells (28/HPF vs 10/HPF), and PD-1+ cytotoxic (CD8+) T-cells (3/HPF vs 2/HPF). CONCLUSION TILs are distributed differently based on molecular subtypes. TNBC patients exhibit more PD-1+ exhausted TILs, representing an inhibitory immune microenvironment. PD-1/PD-L1 pathway is a potential therapeutic target of TNBC.
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Affiliation(s)
- Feng Shi
- Department of Pathology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China,
| | - Hong Chang
- Department of Pathology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China,
| | - Quan Zhou
- Department of Pathology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China,
| | - Yan-Jie Zhao
- Department of Medical Oncology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Guang-Jiang Wu
- Department of Infection Control, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Qing-Kun Song
- Department of Science and Technology, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China,
- Department of Cancer Epidemiology, Beijing Key Laboratory of Cancer Therapeutic Vaccine, Beijing 100038, People's Republic of China,
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Economic Evaluation of Letrozole for Early Breast Cancer in a Health Resource-Limited Setting. BIOMED RESEARCH INTERNATIONAL 2018; 2018:9282646. [PMID: 30155484 PMCID: PMC6098874 DOI: 10.1155/2018/9282646] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Accepted: 07/09/2018] [Indexed: 01/05/2023]
Abstract
Objective Long-term aromatase inhibitor (AI) therapy is expected to improve the health outcomes with high health resource consumption in early breast cancer. The aim of the study was to assess the cost-effectiveness of letrozole for postmenopausal women with estrogen receptor positive early breast cancer in a health resource-limited setting. Methods A Markov model was developed to project the lifetime outcomes based on the clinical course of early breast cancer. The clinical and utility data were derived from reported results. Costs were estimated from the perspective of Chinese health care. The quality-adjusted life-year (QALY) and incremental cost-effective ratio (ICER) were measured. Probabilistic sensitivity and one-way analyses were conducted. Results Compared to 5 years of tamoxifen therapy, 5 years of AI treatment with letrozole improved the QALYs (10.44 versus 10.84) and increased the lifetime costs (CNY ¥13,613 versus CNY ¥28,797), resulting in an ICER of CNY ¥38,092 /QALY. The ICER of 5 years of letrozole versus 2-3 years of tamoxifen and then letrozole was CNY ¥68,233 /QALY. Sensitivity analyses showed that the age of initiating adjuvant endocrine therapy was the most influential parameter. Conclusions In health resource-limited settings, adjuvant endocrine therapy with letrozole is a cost-effective strategy compared to tamoxifen in women with early breast cancer.
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Li X, Dai D, Chen B, Tang H, Xie X, Wei W. Determination of the prognostic value of preoperative CA15-3 and CEA in predicting the prognosis of young patients with breast cancer. Oncol Lett 2018; 16:4679-4688. [PMID: 30214602 DOI: 10.3892/ol.2018.9160] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2017] [Accepted: 12/07/2017] [Indexed: 01/29/2023] Open
Abstract
To the best of our knowledge, no previous study has investigated the association of carcinoembryonic antigen (CEA) and cancer antigen 15-3 (CA15-3) with the prognosis for young patients (≤40 years) with breast cancer. In the present study, preoperative CEA and CA15-3 serum levels were evaluated in the prediction of the prognosis for young patients with breast cancer. In total, 699 patients were recruited, for which the CEA and CA15-3 serum levels had been measured prior to surgery via a blood sample. The optimal cut-off high and low values were determined using receiver operating characteristic curve analysis and Youden's index. The value of CEA and CA15-3 in predicting overall survival (OS) and disease-free survival (DFS) were measured using univariate and multivariate Cox's regression analyses. The cut-off values were 3.38 ng/ml and 12.32 U/ml for CEA and CA15-3, respectively. It was identified that CEA, but not CA15-3, was a predictor for the prognosis of the young patients with breast cancer. Multivariate analysis confirmed that CEA, but not CA15-3, was an independent prognostic marker for all young patients with breast cancer. In total, 623 young patients exhibited decreased levels of CEA; in these patients, CA15-3 with a cut-off value of 12.48 U/ml was an independent prognostic factor for OS and DFS. Preoperative serum CEA may thus serve as an independent predictor of poor prognosis for young patients with breast cancer. However, for low-risk patients with decreased CEA levels, serum CA15-3 may supplement the prediction of overall prognosis.
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Affiliation(s)
- Xuan Li
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong 510060, P.R. China
| | - Danian Dai
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong 510060, P.R. China
| | - Bo Chen
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong 510060, P.R. China
| | - Hailin Tang
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong 510060, P.R. China
| | - Xiaoming Xie
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong 510060, P.R. China
| | - Weidong Wei
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong 510060, P.R. China
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Liu Y, Zhang J, Huang R, Feng WL, Kong YN, Xu F, Zhao L, Song QK, Li J, Zhang BN, Fan JH, Qiao YL, Xie XM, Zheng S, He JJ, Wang K. Influence of occupation and education level on breast cancer stage at diagnosis, and treatment options in China: A nationwide, multicenter 10-year epidemiological study. Medicine (Baltimore) 2017; 96:e6641. [PMID: 28403116 PMCID: PMC5403113 DOI: 10.1097/md.0000000000006641] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The objective of this study was to evaluate the impact of occupation and education level of Chinese female breast cancer patients on their cancer staging at diagnosis, clinical and pathological features, rate of implementation, and selection of treatment.The medical charts of 4211 confirmed female breast cancer cases diagnosed between 1999 and 2008, from 7 breast cancer centers spread across the whole of China, were reviewed. Data including information on the patient's sociodemographic status, clinical and pathological characteristics, implementation of clinical examination and treatment modalities were analyzed. In parallel, the associations between different occupations and level of educational attainment were analyzed in relation to tumor stage through TNM staging, clinical and pathological characteristics, implementation of clinical examination, and treatment patterns. Multivariate logistic regression was used to identify whether the occupation and education level of patients are independent factors of TNM staging at diagnosis.There were significant differences among different occupation groups and the education level of patients in regards to pathological characteristics and treatment choice. Both the occupation and education level of patients were independent factors of TNM staging at diagnosis. For patients within the lower-income occupation or lower educational attainment group, the tumor stage was later, the rates of implementation of relevant investigations were lower, as were the rates of radiotherapy, chemotherapy, and endocrine therapy.This study suggests that strategies should work toward developing more accurate and effective breast cancer prevention and treatment strategies aimed specifically at patients with lower educational attainment levels and at specific occupation groups.
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Affiliation(s)
- Yang Liu
- Department of Breast Surgery, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an
| | - Jian Zhang
- Department of Breast Surgery, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an
| | - Rong Huang
- Department of Cancer Epidemiology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing
- Department of Epidemiology, West China School of Public Health, Sichuan University, Chengdu, Sichuan
| | - Wei-Liang Feng
- Department of Breast Surgery, Zhejiang Cancer Hospital, Hangzhou
| | - Ya-Nan Kong
- Department of Breast Oncology, Sun Yat-Sen University Cancer Center, Guangzhou
| | - Feng Xu
- Department of Breast-thyroid Surgery, Xiangya Second Hospital, Central South University, Changsha
| | - Lin Zhao
- Department of Breast Surgery, Liaoning Cancer Hospital, Shenyang
| | - Qing-Kun Song
- Department of Cancer Epidemiology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing
| | - Jing Li
- Department of Cancer Epidemiology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing
| | - Bao-Ning Zhang
- Center of Breast Disease, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing
| | - Jin-Hu Fan
- Department of Cancer Epidemiology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing
| | - You-Lin Qiao
- Department of Cancer Epidemiology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing
| | - Xiao-Ming Xie
- Department of Breast Oncology, Sun Yat-Sen University Cancer Center, Guangzhou
| | - Shan Zheng
- Department of Pathology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China
| | - Jian-Jun He
- Department of Breast Surgery, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an
| | - Ke Wang
- Department of Breast Surgery, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an
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Shao Y, Sun X, He Y, Liu C, Liu H. Elevated Levels of Serum Tumor Markers CEA and CA15-3 Are Prognostic Parameters for Different Molecular Subtypes of Breast Cancer. PLoS One 2015. [PMID: 26207909 PMCID: PMC4514648 DOI: 10.1371/journal.pone.0133830] [Citation(s) in RCA: 128] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background & Aims The utility of measuring carcinoembryonic antigen(CEA) and cancer antigen 15-3 (CA15-3) levels in patients with breast cancer remains controversial. The present study aims to investigate the prognostic value of preoperative serum CEA and CA15-3 levels in breast cancer patients. Methods Serum preoperative CEA and CA 15-3 concentration levels were measured in a total of 432 breast cancer patients. The association of tumor markers levels with clinicopathological parameters and outcomes were analyzed. Results Elevated serum levels of CEA and CA15-3 were identified in 47 (10.9%) and 60(13.9%) patients, respectively. Larger tumor size, advanced axillary lymph nodal and TNM stage exhibited higher proportion of elevated CEA and CA15-3 levels. The elevation of CEA levels was significantly greater in patients with HER2 positive tumors, and the elevation of CA15-3 levels was significantly greater in ER negative breast patients. Univariate and multivariate Cox’s regression analysis revealed that elevated preoperative CEA and CA 15-3 levels were independent prognostic factors for DFS and OS. When considering the combination of both markers levels, patients with both elevated markers presented the worst survival. Independent prognostic significance of elevated preoperative serum CEA and CA15-3 levels were reconfirmed in Luminal B breast cancer. Conclusions Preoperative serum levels of CEA and CA15-3 are independent prognostic parameters for breast cancer.
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Affiliation(s)
- Yingbo Shao
- Department of Breast oncology, The Affiliated Cancer Hospital Of Zhengzhou University, Zhengzhou, China
- He’nan Province Tumor Hospital, Zhengzhou, China
| | - Xianfu Sun
- Department of Breast oncology, The Affiliated Cancer Hospital Of Zhengzhou University, Zhengzhou, China
- He’nan Province Tumor Hospital, Zhengzhou, China
| | - Yaning He
- Department of Breast oncology, The Affiliated Cancer Hospital Of Zhengzhou University, Zhengzhou, China
- He’nan Province Tumor Hospital, Zhengzhou, China
| | - Chaojun Liu
- Department of Breast oncology, The Affiliated Cancer Hospital Of Zhengzhou University, Zhengzhou, China
- He’nan Province Tumor Hospital, Zhengzhou, China
| | - Hui Liu
- Department of Breast oncology, The Affiliated Cancer Hospital Of Zhengzhou University, Zhengzhou, China
- He’nan Province Tumor Hospital, Zhengzhou, China
- * E-mail:
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Wang J, Xu B, Yuan P, Ma F, Li Q, Zhang P, Cai R, Fan Y, Luo Y, Li Q. Phase II Trial of Goserelin and Exemestane Combination Therapy in Premenopausal Women With Locally Advanced or Metastatic Breast Cancer. Medicine (Baltimore) 2015; 94:e1006. [PMID: 26131799 PMCID: PMC4504532 DOI: 10.1097/md.0000000000001006] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
A promising option as the treatment of choice for premenopausal patients with locally advanced or metastatic breast cancer (MBC) could be the combination of a luteinizing hormone-releasing hormone analog and an aromatase inhibitor. However, no prospective studies on the efficacy of goserelin with exemestane in locally advanced or MBC premenopausal breast cancer patients have been reported.We present the phase II trial of goserelin plus exemestane in a total of 44 premenopausal women with locally advanced or MBC. All patients received a subcutaneous injection of 3.6 mg goserelin every 4 weeks along with 25 mg exemestane daily. The primary end point was progression-free survival (PFS). The second end point included overall survival (OS), objective response rate (ORR), duration of response (DOR), and clinical benefit rate (CBR) based on complete response (CR), partial response (PR), or stable disease (SD) for ≥6 months.The median PFS was 13 months (range: 2-42 months). The median DOR was 8 months (range: 2-40 months). Two patients achieved CR (4.5%), and 15 patients experienced PR (34.1%). Fifteen patients (34.1%) had SD ≥6 months. The ORR was 38.6%, and the CBR was 65.9%. Primary progressive disease occurred in 15 patients (34.1%). Five patients (11.4%) died during the study period. Because a few patients have died, the median OS has not been reached. Drug therapy was well tolerated. The most frequent grade-3 adverse events were arthralgia (18.2%), skin rash (6.8%), and myalgia (4.5%). No participants withdrew from the study due to drug toxicity.This study suggested that goserelin and exemestane might be highly effective and well-tolerated regimens in premenopausal women with hormone-responsive, locally advanced or MBC.
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Affiliation(s)
- Jiayu Wang
- From the Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 17 Panjiayuannanli, Chaoyang District, Beijing, China
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