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Vieira JO, Pesquero JB, Nazário ACP. TP53 Gene Polymorphism at Codon 72 as a Response Predictor for Neoadjuvant Chemotherapy. Breast Care (Basel) 2024; 19:96-105. [PMID: 38765899 PMCID: PMC11096797 DOI: 10.1159/000536115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 12/29/2023] [Indexed: 05/22/2024] Open
Abstract
Introduction Breast cancer is the most prevalent cancer in women worldwide, and neoadjuvant chemotherapy is a favored method for achieving pathologic complete response (pCR). The TP53 gene is involved in inducing the response to chemotherapy drugs. Objectives The present study sought to correlate polymorphism variants at codon 72 with pCR to neoadjuvant chemotherapy. Casuistry and Methods The study was conducted in the state of Sergipe, in northeastern Brazil. A total of 206 patients with a histopathological diagnosis of breast cancer who underwent neoadjuvant chemotherapy from 2019 to 2022 were included. DNA samples were collected for the evaluation of TP53 polymorphism at codon 72. A prospective evaluation of the cases was conducted to verify the surgical pathologic response after chemotherapy; the Response Evaluation Criteria in Solid Tumors (RECIST) were used. The study was approved by the University of São Paulo Ethics and Research Committee. Results Of the 168 patients, 44.6% were Arg72Arg, 17.3% were Pro72Pro, and 38.0% were Arg72Pro; pCR was achieved in 21.4% of the patients; 10.1% had progressive disease, 13.7% had stable disease, and 54.2% had a partial pathologic response. The only predictor of pCR in multivariate regression was immunohistochemistry (p < 0.001). In the multivariate analysis, Arg72Pro and Pro72Pro increased the odds of the patient evolving with stable disease. This study was innovative in demonstrating a predictor of stable disease in response to neoadjuvant chemotherapy. Conclusion TP53 polymorphism at codon 72 is not a predictor of pCR, but it can be a predictor of stable disease.
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Affiliation(s)
- Jussane Oliveira Vieira
- Department of Gynecology of the Federal University of São Paulo (UNIFESP), São Paulo, Brazil
| | - João Bosco Pesquero
- Molecular Biology, Department of Biophysics, Federal University of São Paulo (UNIFESP), Ed. Pesquisa II – Centro De Pesquisa e Diagnóstico Molecular De Doenças Genéticas, São Paulo, Brazil
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Jannusch K, Dietzel F, Bruckmann NM, Morawitz J, Boschheidgen M, Minko P, Bittner AK, Mohrmann S, Quick HH, Herrmann K, Umutlu L, Antoch G, Rubbert C, Kirchner J, Caspers J. Prediction of therapy response of breast cancer patients with machine learning based on clinical data and imaging data derived from breast [ 18F]FDG-PET/MRI. Eur J Nucl Med Mol Imaging 2024; 51:1451-1461. [PMID: 38133687 PMCID: PMC10957677 DOI: 10.1007/s00259-023-06513-9] [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: 07/11/2023] [Accepted: 11/06/2023] [Indexed: 12/23/2023]
Abstract
PURPOSE To evaluate if a machine learning prediction model based on clinical and easily assessable imaging features derived from baseline breast [18F]FDG-PET/MRI staging can predict pathologic complete response (pCR) in patients with newly diagnosed breast cancer prior to neoadjuvant system therapy (NAST). METHODS Altogether 143 women with newly diagnosed breast cancer (54 ± 12 years) were retrospectively enrolled. All women underwent a breast [18F]FDG-PET/MRI, a histopathological workup of their breast cancer lesions and evaluation of clinical data. Fifty-six features derived from positron emission tomography (PET), magnetic resonance imaging (MRI), sociodemographic / anthropometric, histopathologic as well as clinical data were generated and used as input for an extreme Gradient Boosting model (XGBoost) to predict pCR. The model was evaluated in a five-fold nested-cross-validation incorporating independent hyper-parameter tuning within the inner loops to reduce the risk of overoptimistic estimations. Diagnostic model-performance was assessed by determining the area under the curve of the receiver operating characteristics curve (ROC-AUC), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy. Furthermore, feature importances of the XGBoost model were evaluated to assess which features contributed most to distinguish between pCR and non-pCR. RESULTS Nested-cross-validation yielded a mean ROC-AUC of 80.4 ± 6.0% for prediction of pCR. Mean sensitivity, specificity, PPV, and NPV of 54.5 ± 21.3%, 83.6 ± 4.2%, 63.6 ± 8.5%, and 77.6 ± 8.1% could be achieved. Histopathological data were the most important features for classification of the XGBoost model followed by PET, MRI, and sociodemographic/anthropometric features. CONCLUSION The evaluated multi-source XGBoost model shows promising results for reliably predicting pathological complete response in breast cancer patients prior to NAST. However, yielded performance is yet insufficient to be implemented in the clinical decision-making process.
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Affiliation(s)
- Kai Jannusch
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Frederic Dietzel
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Nils Martin Bruckmann
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Janna Morawitz
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Matthias Boschheidgen
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Peter Minko
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Ann-Kathrin Bittner
- Department Gynecology and Obstetrics, University Hospital Essen, University of Duisburg-Essen, D-45147, Essen, Germany
| | - Svjetlana Mohrmann
- Department of Gynecology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, D-40225, Düsseldorf, Germany
| | - Harald H Quick
- High-Field and Hybrid MR Imaging, University Hospital Essen, University Duisburg-Essen, D-45147, Essen, Germany
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, D-45141, Essen, Germany
| | - Ken Herrmann
- Department of Nuclear Medicine, University of Duisburg-Essen, and German Cancer Consortium (DKTK)-University Hospital Essen, Essen, Germany
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, D-45147, Essen, Germany
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
- Center for Integrated Oncology, Aachen Bonn Cologne Düsseldorf (CIO ABCD), Cologne, Germany
| | - Christian Rubbert
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany.
| | - Julian Kirchner
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
| | - Julian Caspers
- Department of Diagnostic and Interventional Radiology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Moorenstrasse 5, D-40225, Düsseldorf, Germany
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Prihantono, Faruk M. Neoadjuvant chemotherapy response, disease-free survival, and overall survival of breast cancer in a single institution. Surg Open Sci 2023; 15:19-25. [PMID: 37592933 PMCID: PMC10428064 DOI: 10.1016/j.sopen.2023.07.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 07/20/2023] [Accepted: 07/26/2023] [Indexed: 08/19/2023] Open
Abstract
Background Breast cancer is the most common malignancy among women worldwide. Previous studies have shown factors influencing breast cancer patients' survival, including histopathological grading, stage, histopathological type, hormone receptors, and the number of mitotic images. This study aimed to determine the survival rate in breast cancer patients based on neoadjuvant chemotherapy (NAC) response and regimen. Methods This was an observational analytic study with a retrospective design. The population was breast cancer patients at our institution who had undergone NAC. Kaplan-Meier analysis using the log-rank method was used to determine the level of survivability (overall survival [OS] and disease-free survival [DFS]) of patients based on chemotherapy response and regimen. Results The NAC overall response rate of breast cancer patients was 93.17 %, whereas the non-response rate was 6.83 %. Significant differences existed in the DFS of patients by chemotherapy response (p = 0.010). Patients with a complete response had a mean survival of 71.37 ± 2.92 months, those with progressive disease had a mean survival of 64.80 ± 15.58 months, and overall patients had a mean survival of 68.56 ± 10.452 months. Patients with a complete response had a mean recurrence time of 69.54 ± 7.48 months; this was 57.53 ± 19.06 months in those with progressive disease, for an overall time of 65.41 ± 13.81 months. No significant difference existed between the NAC regimens in OS and DFS (p = 0.901 and p = 0.798, respectively). Conclusion Generally, the response to NAC in breast cancer was very good. The DFS rates were significantly different from the chemotherapy response but not from the NAC regimen.
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Affiliation(s)
- Prihantono
- Department of Surgery, Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia
| | - Muhammad Faruk
- Department of Surgery, Faculty of Medicine, Universitas Hasanuddin, Makassar, Indonesia
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Sakina Abidi S, Vohra L, Ali Kerawala A, Kafeel A, Umair Tahseen M, Javed S. Frequency of axillary nodal complete pathological response of breast cancer patients in neoadjuvant chemotherapy setting: A cross-sectional study. Turk J Surg 2023; 39:136-144. [PMID: 38026910 PMCID: PMC10681103 DOI: 10.47717/turkjsurg.2023.5708] [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: 03/14/2022] [Accepted: 04/26/2023] [Indexed: 12/01/2023]
Abstract
Objectives Pathological complete response (pCR) occurs in about 20-30% of patients undergoing systemic neoadjuvant therapy. This leads to the idea of sparing the patient the morbidity associated with axillary surgery. "Wait and watch" policy for cancers which achieve complete pathological response on neoadjuvant systemic therapy is a well-established practice in various cancers like the esophagus, rectum and larynx. This has led to organ preservation protocols being practiced worldwide for these cancers without affecting the overall survival of the patient. We believe patients undergoing a complete pathological response in the breast may be spared axillary surgery. Axillary surgery leads to morbidity and extra financial burden with no added advantage in survival. Material and Methods A total of 326 patients with breast cancer who had received neoadjuvant systemic chemotherapy from 2015 to 2020 were included in our retrospective study. Final histopathology of the breast and axillary surgery was noted to report the frequency of complete pathological response. The frequency of positive nodal disease with respect to stage, grade and type of cancer was measured. Results Among 326 patients, our study showed that 53% of patients with complete pathological response in breast also had complete response in the axilla compared to 43% with incomplete pathological response. No significant difference was found for age, menopausal status, initial tumor size when patients with complete pathological response were compared to non or partial responders. The rate of complete pathological response was higher in patients with clinically node negative patients after NACT, hormone negative, HER2 positive and triple negative population. Conclusion Our results indicated that 53% of the patients who developed complete pathological response in the breast underwent needless axillary procedure. Axillary surgery can be staged after the breast surgery if residual tumor is present on the histopathological specimen. In case of pCR, omission of axillary surgery can be considered. However, a larger population, multi-centric studies are needed for treatment guidelines.
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Affiliation(s)
| | - Lubna Vohra
- Clinic of Breast Surgery, Aga Khan Hospital, Karachi, Pakistan
| | - Asad Ali Kerawala
- Clinic of Surgical Oncology, Cancer Foundation Hospital, Karachi, Pakistan
| | - Annam Kafeel
- Clinic of Breast Surgery, Aga Khan Hospital, Karachi, Pakistan
| | | | - Saad Javed
- Clinic of Breast Surgery, Aga Khan Hospital, Karachi, Pakistan
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Feng K, Jia Z, Liu G, Xing Z, Li J, Li J, Ren F, Wu J, Wang W, Wang J, Liu J, Wang X. A review of studies on omitting surgery after neoadjuvant chemotherapy in breast cancer. Am J Cancer Res 2022; 12:3512-3531. [PMID: 36119847 PMCID: PMC9442028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 07/03/2022] [Indexed: 06/15/2023] Open
Abstract
The advancement in systemic neoadjuvant therapy has significantly increased the pathological complete response (pCR) rate in breast cancer. As surgeries inevitably affect patients physically and psychologically and the accuracy of pCR prediction and diagnosis by minimal invasive biopsy is improving, the necessity of surgery in neoadjuvant chemotherapy (NAC) patients who achieve pCR is under debate. Thus, we conducted a literature review of studies on the selective omission of breast surgery after NAC for breast cancer patients. We summarized the existing predictive models and technologies to predict and diagnose pCR after NAC. Our research indicates that, for nearly half a century, the extent of surgery on both breast and axillary lymph nodes is decreasing, while more precise systematic treatments are increasing. NAC has advanced significantly and its pCR rates have improved, so surgery may be omitted in certain patients. However, accurately predicting pCR after NAC is still a challenge. We also described the design for a randomized clinical trial and the potential problems of omitting surgical treatment after NAC. In summary, the decrease in breast cancer surgery is an unavoidable trend, and more high-quality clinical trials need to be conducted.
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Affiliation(s)
- Kexin Feng
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Ziqi Jia
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Gang Liu
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Zeyu Xing
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Jiayi Li
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Jiaxin Li
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Fei Ren
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Jiang Wu
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Wenyan Wang
- Department of Breast Surgery, Beijing Tiantan Hospital, Capital Medical UniversityBeijing 100070, China
| | - Jie Wang
- Department of Ultrasound, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Jiaqi Liu
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
| | - Xiang Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021, China
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Dighe S, Shinde R, Shinde S, Verma P. Assessment of response of neoadjuvant chemotherapy in carcinoma breast patients by high-frequency ultrasound. J Family Med Prim Care 2022; 11:4717-4722. [PMID: 36353032 PMCID: PMC9638649 DOI: 10.4103/jfmpc.jfmpc_2186_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 02/08/2022] [Accepted: 02/10/2022] [Indexed: 11/16/2022] Open
Abstract
Aim To assess the response of neoadjuvant chemotherapy in carcinoma breast patients by high-frequency ultrasound. Material and Method The current single blind, observational study was conducted at rural tertiary healthcare center of Acharya Vinoba Bhave Rural Hospital from October 2018 to Sept 2020. We incorporated breast cancer patients with TNM stages IIIA and IIIB who received neoadjuvant chemotherapy with Cyclophosphamide/Adriamycin/5 FU and Paclitaxel respectively followed by standard surgical procedure modified radical mastectomy. Successive ultrasound examination of the breast malignancy and the axilla was done after 21 days of either of any neoadjuvant chemotherapy for 3 cycles. Assessment of response to neoadjuvant chemotherapy was applied in terms of reduction in the breast tumour volume on ultrasound and percentage of tumour response calculated by Response Evaluation Criteria for Solid Tumours (RECIST). Data were analysed using SPSS version 24.0. Results Higher frequency of patients was invasive ductal breast cancer. In our study, Paclitaxel group showed better response in terms of CR and PR than CAF group. Our study noticed a consistent decrement in tumour volume after every cycle of either CAF or Paclitaxel NACT. Axillary ultrasound was able to predict the response of axillary lymph nodes in terms of increase or decrease in number and morphological changes after 3 cycles of NACT with similarity on final histopathology. Conclusion It can be concluded from the results of the present study that high-frequency ultrasound is appropriate tool for assessment of response of primary breast malignancy and lymphnode metastasis in the axilla after neoadjuvant chemotherapy.
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Affiliation(s)
- Sajika Dighe
- Department of Surgery, DMIMSU, Wardha, Maharashtra, India
| | - Raju Shinde
- Department of Surgery, DMIMSU, Wardha, Maharashtra, India
| | - Sangita Shinde
- Department of Pharmacology, DMIMSU, Wardha, Maharashtra, India
| | - Prince Verma
- Department of Surgery, DMIMSU, Wardha, Maharashtra, India
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Biomarker Dynamics and Long-Term Treatment Outcomes in Breast Cancer Patients with Residual Cancer Burden after Neoadjuvant Therapy. Diagnostics (Basel) 2022; 12:diagnostics12071740. [PMID: 35885644 PMCID: PMC9318288 DOI: 10.3390/diagnostics12071740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 07/14/2022] [Accepted: 07/15/2022] [Indexed: 12/24/2022] Open
Abstract
A residual cancer burden after neoadjuvant therapy (NAT) for breast cancer (BC) is associated with worse treatment outcomes compared to patients who achieved pathologic complete remission. This single-institutional retrospective study of 767 consecutive patients, including 468 patients with assessable residual cancer burden (aRCB) after NAT, with a median follow-up of 36 months, evaluated the biomarkers assessed before NAT from a biopsy and after NAT from a surgical specimen, their dynamics, and effect on long-term outcomes in specific breast cancer subtypes. The leading focus was on proliferation index Ki-67, which was significantly altered by NAT in all BC subtypes (p < 0.001 for HER2 positive and luminal A/B HER2 negative and p = 0.001 for TNBC). Multivariable analysis showed pre-NAT and post-NAT Ki-67 as independent predictors of survival outcomes for luminal A/B HER2 negative subtype. For TNBC, post-NAT Ki-67 was significant alone, and, for HER2 positive, the only borderline association of pre-NAT Ki-67 was observed in relation to the overall survival. Steroid and HER2 receptors were re-assessed just in a portion of the patients with aRCB. The concordance of both assessments was 92.9% for ER status, 80.1% for PR, and 92.2% for HER2. In conclusion, these real-world data of a consecutive cohort confirmed the importance of biomarkers assessment in patients with aRCB, and the need to consider specific BC subtypes when interpreting their influence on prognosis.
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Qian B, Yang J, Zhou J, Hu L, Zhang S, Ren M, Qu X. Individualized model for predicting pathological complete response to neoadjuvant chemotherapy in patients with breast cancer: A multicenter study. Front Endocrinol (Lausanne) 2022; 13:955250. [PMID: 36060977 PMCID: PMC9428399 DOI: 10.3389/fendo.2022.955250] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 07/26/2022] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Pathological complete response (pCR) is considered a surrogate for favorable survival in breast cancer (BC) patients treated with neoadjuvant chemotherapy (NACT), which is the goal of NACT. This study aimed to develop and validate a nomogram for predicting the pCR probability of BC patients after NACT based on the clinicopathological features. METHODS A retrospective analysis of 527 BC patients treated with NACT between January 2018 and December 2021 from two institutions was conducted. Univariate and multivariate logistic regression analyses were performed to select the most useful predictors from the training cohort (n = 225), and then a nomogram model was developed. The performance of the nomogram was evaluated with respect to its discrimination, calibration, and clinical usefulness. Internal validation and external validation were performed in an independent validation cohort of 96 and 205 consecutive BC patients, respectively. RESULTS Among the 18 clinicopathological features, five variables were selected to develop the prediction model, including age, American Joint Committee on Cancer (AJCC) T stage, Ki67 index before NACT, human epidermal growth factor receptor 2 (HER2), and hormone receptor (HR) status. The model showed good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.825 (95% CI, 0.772 to 0.878) in the training cohort, and 0.755 (95% CI, 0.658 to 0.851) and 0.79 (95% CI, 0.724 to 0.856) in the internal and external validation cohorts, respectively. The calibration curve presented good agreement between prediction by nomogram and actual observation, and decision curve analysis (DCA) indicated that the nomogram had good net benefits in clinical scenarios. CONCLUSION This study constructed a validated nomogram based on age, AJCC T stage, Ki67 index before NACT, HER2, and HR status, which could be non-invasively applied to personalize the prediction of pCR in BC patients treated with NACT.
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Affiliation(s)
- Bei Qian
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Yang
- Department of Breast Surgery, Department of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jun Zhou
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Longqing Hu
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shoupeng Zhang
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Xincai Qu, ; Min Ren, ; Shoupeng Zhang,
| | - Min Ren
- Department of Breast Surgery, Department of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China
- *Correspondence: Xincai Qu, ; Min Ren, ; Shoupeng Zhang,
| | - Xincai Qu
- Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Xincai Qu, ; Min Ren, ; Shoupeng Zhang,
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Chen L, Bai P, Kong X, Huang S, Wang Z, Wang X, Fang Y, Wang J. Prognostic Nutritional Index (PNI) in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy as a Useful Prognostic Indicator. Front Cell Dev Biol 2021; 9:656741. [PMID: 33859986 PMCID: PMC8042235 DOI: 10.3389/fcell.2021.656741] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 02/08/2021] [Indexed: 12/21/2022] Open
Abstract
Objective Prognostic nutritional index (PNI), calculated as serum albumin (ALB) (g/L) + 5 × total lymphocyte count (109/L), is initially used to evaluate nutritional status in patients undergoing surgery and may evaluate the therapeutic effects and predict the survival of various solid tumors. The present study aimed to evaluate the potential prognostic significance of PNI in breast cancer patients receiving neoadjuvant chemotherapy (NACT). Methods A total of 785 breast cancer patients treated with neoadjuvant chemotherapy were enrolled in this retrospective study. The optimal cutoff value of PNI by receiver operating characteristic curve stratified patients into a low-PNI group (<51) and a high PNI group (≥51). The associations between breast cancer and clinicopathological variables by PNI were determined by chi-square test or Fisher’s exact test. Kaplan–Meier plots and log-rank test were used to evaluate the clinical outcomes of disease-free survival (DFS) and overall survival (OS). The prognostic value of PNI was analyzed by univariate and multivariate Cox proportional hazards regression models. The toxicity of NACT was accessed by the National Cancer Institute Common Toxicity Criteria (NCI-CTC). Results The results indicated that PNI had prognostic significance by an optimal cutoff value of 51 on DFS and OS in univariate and multivariate Cox regression survival analyses. Breast cancer patients with a high PNI value had longer DFS and OS than those with a low PNI value [47.64 vs. 36.60 months, P < 0.0001, hazard ratio (HR) = 0.264, 95%CI = 0.160–0.435; 73.61 vs. 64.97 months, P < 0.0001, HR = 0.319, 95%CI = 0.207–0.491, respectively]. Furthermore, the results indicated that patients with high PNI had longer DFS and OS than those with low PNI in early stage and advanced breast cancer, especially in advanced breast cancer. The mean DFS and OS times for breast cancer patients with high PNI by the log-rank test were longer than in those with low PNI in different molecular subtypes. Moreover, the mean DFS and OS times in patients with high PNI by the log-rank test were longer than in those patients with low PNI without or with lymph vessel invasion. The common toxicities after neoadjuvant chemotherapy were hematologic and gastrointestinal reaction, and the PNI had no significance on the toxicities of all enrolled patients, except in anemia, leukopenia, and myelosuppression. Conclusion Pretreatment PNI with the advantages of being convenient, noninvasive, and reproducible was a useful prognostic indicator for breast cancer patients receiving neoadjuvant chemotherapy and is a promising biomarker for breast cancer on treatment strategy decisions.
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Affiliation(s)
- Li Chen
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ping Bai
- Department of Operation Room, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangyi Kong
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shaolong Huang
- Department of Breast and Thyroid, Traumatic and Plastic Surgery, Tongren Municipal People's Hospital, Guizhou, China
| | - Zhongzhao Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangyu Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Fang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Wang
- Department of Breast Surgical 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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Neoadjuvant Chemotherapy of Triple-Negative Breast Cancer: Evaluation of Early Clinical Response, Pathological Complete Response Rates, and Addition of Platinum Salts Benefit Based on Real-World Evidence. Cancers (Basel) 2021; 13:cancers13071586. [PMID: 33808149 PMCID: PMC8036281 DOI: 10.3390/cancers13071586] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 03/25/2021] [Accepted: 03/26/2021] [Indexed: 12/17/2022] Open
Abstract
Simple Summary Neoadjuvant chemotherapy (NACT) is the standard treatment for early-stage triple-negative breast cancer (TNBC). Achieving pathological complete response (pCR) is considered an essential prognostic factor with favorable long-term outcomes. The administration of NACT regimens with platinum salts is associated with a higher pCR rate. However, with unclear treatment guidelines and at the expense of a higher incidence of adverse events. Identifying patients and circumstances in which the benefits of platinum NACT outweigh inconveniences is still an ongoing challenge. Considering early clinical response (ECR) after the initial standard NACT cycles together with other suitable predictors could be useful to decide about the administration of platinum salts in clinical practice. The results of this large single institutional retrospective study of consecutive patients showed the significant role of adding platinum salts in older patients with high-proliferative early responded tumors and persisted lymph nodes involvement regardless of BRCA1/2 status. Abstract Pathological complete response (pCR) achievement is undoubtedly the essential goal of neoadjuvant therapy for breast cancer, directly affecting survival endpoints. This retrospective study of 237 triple-negative breast cancer (TNBC) patients with a median follow-up of 36 months evaluated the role of adding platinum salts into standard neoadjuvant chemotherapy (NACT). After the initial four standard NACT cycles, early clinical response (ECR) was assessed and used to identify tumors and patients generally sensitive to NACT. BRCA1/2 mutation, smaller unifocal tumors, and Ki-67 ≥ 65% were independent predictors of ECR. The total pCR rate was 41%, the achievement of pCR was strongly associated with ECR (OR = 15.1, p < 0.001). According to multivariable analysis, the significant benefit of platinum NACT was observed in early responders ≥45 years, Ki-67 ≥ 65% and persisted lymph node involvement regardless of BRCA1/2 status. Early responders with pCR had a longer time to death (HR = 0.28, p < 0.001) and relapse (HR = 0.26, p < 0.001). The pCR was achieved in only 7% of non-responders. However, platinum salts favored non-responders’ survival outcomes without statistical significance. Toxicity was significantly often observed in patients with platinum NACT (p = 0.003) but not for grade 3/4 (p = 0.155). These results based on real-world evidence point to the usability of ECR in NACT management, especially focusing on the benefit of platinum salts.
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Kunnuru SKR, Thiyagarajan M, Martin Daniel J, Singh K B. A Study on Clinical and Pathological Responses to Neoadjuvant Chemotherapy in Breast Carcinoma. BREAST CANCER-TARGETS AND THERAPY 2020; 12:259-266. [PMID: 33262647 PMCID: PMC7686913 DOI: 10.2147/bctt.s277588] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 10/21/2020] [Indexed: 12/12/2022]
Abstract
Aim and objectives To assess the effectiveness of neo-adjuvant chemotherapy and its impact on the clinical and pathological response in locally advanced breast cancer. To compare molecular subtypes of breast cancer with response to neo-adjuvant chemotherapy. Patients and methods This was a prospective study on patients who received neoadjuvant chemotherapy for breast carcinoma for a 3-year period. A total of 60 patients who presented with locally advanced breast cancer (LABC) were treated with neoadjuvant chemotherapy. Forty patients were treated with the 5-fluorouracil, epirubicin, and cyclophosphamide (FEC) schedule, 16 patients were treated with Adriamycin and cyclophosphamide (AC), and four patients were treated with oral cyclophosphamide, intravenous methotrexate, and fluorouracil (CMF). Taxol was added in all node-positive cases, triple negative breast cancer (TNBC), and Her 2 positive cases. The clinical response was assessed with RECIST criteria after neoadjuvant chemotherapy. The response was compared with molecular subtypes of carcinoma breast and receptor status individually. Results A total of 60 female patients receiving primary chemotherapy for locally advanced breast malignancy were studied. The median age of the patients at the time of diagnosis was 44 years (range=24–73). In terms of menopausal status, 25 (42%) patients were pre-menopausal and 35 (58%) patients were post-menopausal. Histological classification showed invasive ductal carcinoma in 72% of patients, invasive lobular carcinoma in 15% of patients, and other types including mixed patterns in 13% of patients. Among 60 patients, 16 patients (26.6%) had clinically complete remission (cCR), 30 patients (50%) had partial remission, eight patients (13.3%) had stable disease, and six patients (10%) had progressive disease. Following neoadjuvant chemotherapy, 46 (76.6%) patient underwent Modified radical mastectomy surgery. Target therapy was given for Her2 neu patients after surgery. Hormonal therapy was added to hormone ER PR positive cases postoperatively. Eight patients (13.3%) among this operated cases attained complete pathological response. Conclusion Preoperative chemotherapy downstages the primary tumors and axillary metastasis in patients with locally advanced breast carcinoma. Comparison of molecular subtypes with chemotherapy response is a better way to find out the predictors of response to chemotherapy.
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Affiliation(s)
| | | | - Jovita Martin Daniel
- Medical Oncology Department, Sri Ramachandra Medical University, Chennai 600116, India
| | - Balaji Singh K
- General Surgery Department, Sri Ramachandra Medical University, Chennai 600116, India
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Ou Z, Zhao D, Li B, Wang Y, Liu S, Zhang Y. A Preoperative Nomogram for Predicting Chemoresistance to Neoadjuvant Chemotherapy in Patients with Locally Advanced Cervical Squamous Carcinoma Treated with Radical Hysterectomy. Cancer Res Treat 2020; 53:233-242. [PMID: 32972047 PMCID: PMC7812015 DOI: 10.4143/crt.2020.159] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 09/09/2020] [Indexed: 12/13/2022] Open
Abstract
Purpose This study aimed to investigate the factors associated with chemoresistance to neoadjuvant chemotherapy (NACT) followed by radical hysterectomy (RH) and construct a nomogram to predict the chemoresistance in patients with locally advanced cervical squamous carcinoma (LACSC). Materials and Methods This retrospective study included 516 patients with International Federation of Gynecology and Obstetrics (2003) stage IB2 and IIA2 cervical cancer treated with NACT and RH between 2007 and 2017. Clinicopathologic data were collected, and patients were assigned to training (n=381) and validation (n=135) sets. Univariate and multivariate analyses were performed to analyze factors associated with chemoresistance to NACT. A nomogram was built using the multivariate logistic regression analysis results. We evaluated the discriminative ability and accuracy of the model using a concordance index and a calibration curve. The predictive probability of chemoresistance to NACT was defined as > 34%. Results Multivariate analysis confirmed menopausal status, clinical tumor diameter, serum squamous cell carcinoma antigen level, and parametrial invasion on magnetic resonance imaging before treatment as independent prognostic factors associated with chemoresistance to NACT. The concordance indices of the nomogram for training and validation sets were 0.861 (95% confidence interval [CI], 0.822 to 0.900) and 0.807 (95% CI, 0.807 to 0.888), respectively. Calibration plots revealed a good fit between the model-predicted probabilities and actual probabilities (Hosmer-Lemeshow test, p=0.597). Furthermore, grouping based on the nomogram was associated with progression-free survival. Conclusion We developed a nomogram for predicting chemoresistance in LACSC patients treated with RH. This nomogram can help physicians make clinical decisions regarding primary management and postoperative follow-up of the patients.
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Affiliation(s)
- Zhengjie Ou
- Department of Gynecology Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dan Zhao
- Department of Gynecology Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bin Li
- Department of Gynecology Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yating Wang
- Department of Gynecology Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shuanghuan Liu
- Department of Gynecology Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yanan Zhang
- Department of Gynecology 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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Xu T, Dong M, Li H, Zhang R, Li X. Elevated mRNA expression levels of DLGAP5 are associated with poor prognosis in breast cancer. Oncol Lett 2020; 19:4053-4065. [PMID: 32391106 PMCID: PMC7204629 DOI: 10.3892/ol.2020.11533] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Accepted: 02/29/2020] [Indexed: 12/13/2022] Open
Abstract
Breast cancer is the most commonly diagnosed type of cancer and one of the leading causes of cancer-associated mortality in women. In addition, the underlying molecular mechanisms of the occurrence and development of breast cancer requires further investigation. In the present study, bioinformatics analysis was performed to identify differentially expressed genes (DEGs) between breast cancer and normal breast tissues to investigate the underlying molecular mechanisms. In addition, reverse transcription-quantitative PCR and immunohistochemistry (IHC) were performed to investigate the protein and mRNA expression levels of a specific DEG, discs large-associated protein 5 (DLGAP5). A Cell Counting Kit-8 assay and flow cytometry analysis were used to assess the effects of DLGAP5 on cell proliferation. In total, 85 DEGs were identified in the three Gene Expression Omnibus datasets, including 40 upregulated and 45 downregulated genes. In addition, 30 hub genes were identified following the construction of a protein-protein interaction network, and 28 of the 30 hub genes were established to be indicators of breast cancer prognosis. DLGAP5 was highly expressed in breast cancer specimens, and its expression levels were correlated with clinical stage and lymph node status. In addition, downregulation of DLGAP5 repressed the proliferation of breast cancer MDA-MB-231 cells and induced cell cycle arrest. Additionally, DLGAP5 was identified to be localized in the mitochondria, and the presence of a conserved microtubule-associated proteins 1A/1B light chain 3B-interacting region motif suggested that DLGAP5 may serve a role in mitophagy. The present results demonstrated an association between DLGAP5 expression levels and the clinicopathological characteristics of patients with breast cancer using IHC. In conclusion, DLGAP5 may be a promising target in the diagnosis and treatment of breast cancer.
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Affiliation(s)
- Tao Xu
- Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Menglu Dong
- Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Hanning Li
- Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Rui Zhang
- Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xingrui Li
- Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
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Chen L, Kong X, Wang Z, Wang X, Fang Y, Wang J. Pretreatment Systemic Inflammation Response Index in Patients with Breast Cancer Treated with Neoadjuvant Chemotherapy as a Useful Prognostic Indicator. Cancer Manag Res 2020; 12:1543-1567. [PMID: 32184659 PMCID: PMC7060771 DOI: 10.2147/cmar.s235519] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 02/14/2020] [Indexed: 12/20/2022] Open
Abstract
Background and Objective Systemic inflammation response index (SIRI=N×M/L), based on neutrophil (N), monocyte (M), and lymphocyte (L) counts, is used to predict the survival of patients with malignant tumors and can fully evaluate the balance between host immune and inflammatory condition. The present study is aimed to evaluate the potential prognostic significance of SIRI in patients with breast cancer undergoing neoadjuvant chemotherapy. Subjects and Methods A total of 262 breast cancer patients treated with neoadjuvant chemotherapy were enrolled in this retrospective study. The optimal cutoff value of SIRI by receiver operating characteristic curve stratified patients into low SIRI (<0.85×109/L) group and high SIRI (≥0.85×109/L) group. The associations between breast cancer and clinicopathological variables by SIRI were determined by chi-square test or Fisher’s exact test. Kaplan–Meier plots and log-rank test were used to evaluate the clinical outcomes of disease-free survival (DFS) and overall survival (OS). Univariate and multivariate Cox proportional hazards regression models were used to analyze the prognostic value of SIRI. The toxicity of neoadjuvant chemotherapy was evaluated by the National Cancer Institute Common Toxicity Criteria (NCICTC). Results The results were shown that SIRI had prognostic significance by optimal cutoff value of 0.85×109/L on DFS and OS in univariate and multivariate Cox regression survival analyses. Compared with patients who had high SIRI, patients with low SIRI had longer DFS and OS (41.27 vs 30.45 months, HR: 1.694, 95% CI: 1.128–2.543, P=0.011; 52.86 vs 45.75 months, HR: 1.288, 95% CI: 0.781–3.124, P=0.002, respectively). The patients with low SIRI had better 3-, 5-, and 10-year rates of DFS and OS than those with high SIRI. The common toxicities after neoadjuvant chemotherapy were hematologic and gastrointestinal reaction, and the SIRI had no significance on toxicities of all enrolled patients, excepted diarrhea. In patients without neural invasion, those with low SIRI had better prognosis and lower recurrence rates than those with high SIRI. Conclusion Pretreatment SIRI with the advantage of repeatable, convenient, and non-invasive is a useful prognostic indicator for breast cancer patients who received neoadjuvant chemotherapy and is a promising biomarker for breast cancer on treatment strategy decisions.
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Affiliation(s)
- Li Chen
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, People's Republic of China
| | - Xiangyi Kong
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, People's Republic of China
| | - Zhongzhao Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, People's Republic of China
| | - Xiangyu Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, People's Republic of China
| | - Yi Fang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, People's Republic of China
| | - Jing Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, People's Republic of China
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