Cancer Research and Treatment

Original Articles

Impact of 21-Gene Recurrence Score on Chemotherapy Decision in Invasive Ductal Carcinoma of Breast with Nodal Micrometastases: Wei-Rong Chen, Jia-Peng Deng, Jun Wang, Jia-Yuan Sun, Zhen-Yu He, San-Gang Wu; Cancer Res Treat. 2019;51(4):1437-1448. Published online March 4, 2019; DOI: https://doi.org/10.4143/crt.2018.611

Purpose
The purpose of this study was to investigate the effect of 21-gene recurrence score (RS) on predicting prognosis and chemotherapy decision in node micrometastases (N1mi) breast invasive ductal carcinoma (IDC).
Methods
Patients with stage T1-2N1mi and estrogen receptor-positive IDC diagnosed between 2004 and 2015 were included. The associations of 21-gene RS with breast cancer-specific survival (BCSS), chemotherapy decision, and benefit of chemotherapy were analyzed.
Results
We identified 4,758 patients including 1,403 patients (29.5%) treated with adjuvant chemotherapy. In the traditional RS cutoffs, 2,831 (59.5%), 1,634 (34.3%), and 293 (6.2%) patients were in the low-, intermediate-, and high-risk RS groups, respectively. In 3,853 patients with human epidermal growth factor receptor-2 (HER2) status available, most patients were HER2-negative disease (98.3%). A higher RS was independently related to chemotherapy receipt, and 14.0%, 47.7%, and 77.8% of patients in the low-, intermediate-, and high-risk RS groups received chemotherapy, respectively. The multivariate analysis indicated that a higher RS was related to worse BCSS (p < 0.001). The 5-year BCSS rates were 99.3%, 97.4%, and 91.9% in patients with low-, intermediate-, and high-risk RS groups, respectively (p < 0.001). However, chemotherapy receipt did not correlate with better BCSS in low-, intermediate-, or high-risk RS groups. There were similar trends using Trial Assigning Individualized Options for Treatment RS cutoffs.
Conclusion
The 21-gene RS does predict outcome and impact on chemotherapy decision of N1mi breast IDC. Large cohort and long-term outcomes studies are needed to identify the effects of chemotherapy in N1mi patients by different 21-gene RS groups.

Citations

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21-gene recurrence score predictive of the benefit of postoperative radiotherapy after breast-conserving surgery for elderly patients with T1N0 and luminal breast cancer
Run-Jie Wang, Hai-Ying Liu, Lin-Feng Guo, De Yu, San-Gang Wu
Breast Cancer.2024; 31(6): 1156. CrossRef
Evaluation of adjuvant therapy for T1-2N1miM0 breast cancer without further axillary lymph node dissection
Baiyu Li, Jianbo Liu, Guangyin Wu, Qingyao Zhu, Shundong Cang
Frontiers in Surgery.2023;[Epub] CrossRef
Effectiveness of post-mastectomy adjuvant chemotherapy for the treatment of patients with prognostic stage IB breast cancer: A SEER-based study
HongMei Wang, Yi Peng, Jianbin Wu, ZhuangWei Chen, HuaLe Zhang
Asian Journal of Surgery.2023; 46(9): 3634. CrossRef
Comparison of 21-gene assay and St.Gallen International Expert Consensus in the treatment decision for patients with early invasive breast cancers
Ming Luo, Fu Li, Ka Su, Huiming Yuan, Jian Zeng
Cancer Biology & Therapy.2020; 21(2): 108. CrossRef
Oncotype DX Breast Recurrence Score®: A Review of its Use in Early-Stage Breast Cancer
Yahiya Y. Syed
Molecular Diagnosis & Therapy.2020; 24(5): 621. CrossRef

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KIF11 Functions as an Oncogene and Is Associated with Poor Outcomes from Breast Cancer: Juan Zhou, Wei-Rong Chen, Li-Chao Yang, Jun Wang, Jia-Yuan Sun, Wen-Wen Zhang, Zhen-Yu He, San-Gang Wu; Cancer Res Treat. 2019;51(3):1207-1221. Published online December 27, 2018; DOI: https://doi.org/10.4143/crt.2018.460

Abstract PDF Supplementary Material PubReader ePub

Purpose
The study aimed to search and identify genes that were differentially expressed in breast cancer, and their roles in cancer growth and progression.
Materials and Methods
The Gene Expression Omnibus (Oncomine) and The Cancer Genome Atlas databases (https://cancergenome.nih.gov/) were screened for genes that were expressed differentially in breast cancer and were closely related to a poor prognosis. Gene expressions were verified by quantitative real-time polymerase chain reaction, and genes were knocked down by a lentivirus-based system. Cell growth and motility were evaluated and in vivo nude mice were used to confirm the in vitro roles of genes. Markers of epithelial-to-mesenchymal transition and the associations of KIF11 with the classical cancer signaling pathways were detected by Western blot.
Results
A series of genes expressed differentially in patients with breast cancer. The prognosis associated with high KIF11 expression was poor, and the expression of KIF11 increased significantly in high stage and malignant tumor cells. Inhibiting KIF11 expression in lentivirus-suppressed cells revealed that KIF11 inhibition significantly reduced cell viability and colony formation, inhibited migration and invasion, but promoted apoptosis. The sizes and weights of KIF11-inhibited tumors in nude mice were significantly lower than in the negative controls. Western blot showed that E-cadherin in breast cancer was significantly upregulated in KIF-inhibited cells and tumor tissues, whereas N-cadherin and vimentin were significantly downregulated. BT549 and MDA231 cells with KIF11 knockdown exhibited decreased ERK, AMPK, AKT, and CREB phosphorylation.
Conclusion
KIF11 acts as a potential oncogene that regulates the development and progression of breast cancer.

Citations

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HELLS Knockdown Inhibits the Malignant Progression of Lung Adenocarcinoma Via Blocking Akt/CREB Pathway by Downregulating KIF11
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Identification and validation of the important role of KIF11 in the development and progression of endometrial cancer
Biying Wang, Lunmin Bao, Xiaoduo Li, Guang Sun, Wu Yang, Nanzi Xie, Ling Lei, Wei Chen, Hailong Zhang, Man Chen, Xing Zhao, Xiufang Wan, Rui Yuan, Hongmei Jiang
Journal of Translational Medicine.2025;[Epub] CrossRef
Integrative analysis of T cell-mediated tumor killing-related genes reveals KIF11 as a novel therapeutic target in esophageal squamous cell carcinoma
Xinxin Cheng, Huihui Zhao, Zhangwang Li, Liping Yan, Qingjie Min, Qingnan Wu, Qimin Zhan
Journal of Translational Medicine.2025;[Epub] CrossRef
KIF11 and KIF14 Are a Novel Potential Prognostic Biomarker in Patients with Endometrioid Carcinoma
Paulina Antosik, Justyna Durślewicz, Marta Smolińska-Świtała, Jonasz Podemski, Edyta Podemska, Izabela Neska-Długosz, Jakub Jóźwicki, Dariusz Grzanka
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Identification of Hub Genes and Potential Drugs in Neurofibromatosis 1: An Integrated Bioinformatics Analysis
Zoha Adnan, Muhammad Asif Rasheed, Sami Ullah Khan, Areeba Irfan, Fuad A. Awwad, Emad A. A. Ismail, M. Ijaz Khan, Nargiza Kamolova
Journal of Computational Biophysics and Chemistry.2025; 24(03): 359. CrossRef
Targeting Eg5 using Arry520 combats gastric cancer by inducing monopolar spindles
Na He, Xinyuan Wei, Ruofei Sun, Gengyuan Zhang, Jie Zhao, Xiangyan Jiang, Bo Long, Zeyuan Yu, Wengui Shi, Zuoyi Jiao
Gene.2025; 955: 149458. CrossRef
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Kai Zhao, Xiangyu Li, Yunxiang Feng, Jianming Wang, Wei Yao
Biomarker Research.2024;[Epub] CrossRef
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Wanting Gao, Junjie Lu, Zitao Yang, Enmin Li, Yufei Cao, Lei Xie
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Lian-Meng Huang, Ming-Jin Zhang
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Pan Song, Dong Lv, Luchen Yang, Jing Zhou, Xin Yan, Zhenghuan Liu, Kai Ma, Yunfei Yu, Xiaoyang Liu, Qiang Dong
Ecotoxicology and Environmental Safety.2024; 281: 116602. CrossRef
Transcriptomic profiles‐based approach to decode the role of miR‐122 in triple negative breast cancer
Mauricio Flores Fortis, Isidro X. Perez Añorve, Oscar del Moral Hernandez, Nicolas Villegas, Elena Arechaga Ocampo
Genes, Chromosomes and Cancer.2023; 62(7): 392. CrossRef
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Qilu Fang, Qinglin Li, Yajun Qi, Zongfu Pan, Tingting Feng, Wenxiu Xin
Cell Biology International.2023; 47(7): 1209. CrossRef
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Jin Qian, Laicheng Zou, Xiao Han, Zhen Zhang, Qing Qiu, Liulong Zhu, Zhenyu Bian
Soft Computing.2023;[Epub] CrossRef
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Liwen Zhu, Chuqin Chen, Meiyun Kang, Xiaopeng Ma, Xiaoyan Sun, Yao Xue, Yongjun Fang
Journal of Cancer Research and Clinical Oncology.2023; 149(17): 15609. CrossRef
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Y. Naeimzadeh, S. Ilbeigi, H. Dastsooz, M. Rafiee Monjezi, Y. Mansoori, S. M. B. Tabei, Yuan Li
BioMed Research International.2023;[Epub] CrossRef
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Bin Liu, Gang Zhang, Shukun Cui, Guoliang Du
Cellular and Molecular Neurobiology.2022; 42(5): 1477. CrossRef
High KIF11 expression is associated with poor outcome of NSCLC
Junhui Liu, Yubin Tian, Lei Yi, Zhaojia Gao, Ming Lou, Kai Yuan
Tumori Journal.2022; 108(1): 40. CrossRef
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Alessia Ricci, Marialucia Gallorini, Donatella Del Bufalo, Amelia Cataldi, Ilaria D’Agostino, Simone Carradori, Susi Zara
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Marina Gorostiola González, Antonius P.A. Janssen, Adriaan P. IJzerman, Laura H. Heitman, Gerard J.P. van Westen
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Bingtian Liu, Ling Qiang, Bingxin Guan, Zhipeng Ji
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Fang Jiayu, Yike Jiang, Xuanrui Zhou, Minqin Zhou, Jingying Pan, Yun Ke, Jing Zhen, Da Huang, Weifan Jiang
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Integrative analysis of transcriptional profile reveals LINC00052 as a suppressor of breast cancer cell migration
Jose Manuel Sanchez-Lopez, Edna Ayerim Mandujano-Tinoco, Alfredo Garcia-Venzor, Laura Fatima Lozada-Rodriguez, Cecilia Zampedri, Salvador Uribe-Carvajal, Jorge Melendez-Zajgla, Vilma Maldonado, Floria Lizarraga
Cancer Biomarkers.2021; 30(4): 365. CrossRef
Identification of the Hub Genes Associated with the Prognosis of Ovarian Cancer Patients via Integrated Bioinformatics Analysis and Experimental Validation
Yuzi Zhao, Jie Pi, Lihua Liu, Wenjie Yan, Shufang Ma, Li Hong
Cancer Management and Research.2021; Volume 13: 707. CrossRef
Overexpression of EZH2/NSD2 Histone Methyltransferase Axis Predicts Poor Prognosis and Accelerates Tumor Progression in Triple-Negative Breast Cancer
Bo Gao, Xiumin Liu, Zhengjin Li, Lixian Zhao, Yun Pan
Frontiers in Oncology.2021;[Epub] CrossRef
KIF11 inhibitors filanesib and ispinesib inhibit meningioma growth in vitro and in vivo
Gerhard Jungwirth, Tao Yu, Junguo Cao, Montadar Alaa Eddine, Mahmoud Moustafa, Rolf Warta, Juergen Debus, Andreas Unterberg, Amir Abdollahi, Christel Herold-Mende
Cancer Letters.2021; 506: 1. CrossRef
KIF11 Serves as an Independent Prognostic Factor and Therapeutic Target for Patients With Lung Adenocarcinoma
Zhaodong Li, Bingxin Yu, Fangyuan Qi, Fan Li
Frontiers in Oncology.2021;[Epub] CrossRef
Dauricine inhibits human pancreatic carcinoma cell proliferation through regulating miRNAs
Ling Jiang, Tianzhu Guo, Ying Jiang, Ping Liu, Yun Bai
Molecular Omics.2021; 17(4): 630. CrossRef
ASPM combined with KIF11 promotes the malignant progression of hepatocellular carcinoma via the Wnt/β‑catenin signaling pathway
Bin Wu, Chunyang Hu, Lianbao Kong
Experimental and Therapeutic Medicine.2021;[Epub] CrossRef
Screening and predicted value of potential biomarkers for breast cancer using bioinformatics analysis
Xiaoyu Zeng, Gaoli Shi, Qiankun He, Pingping Zhu
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Screening and identification of hub genes in bladder cancer by bioinformatics analysis and KIF11 is a potential prognostic biomarker
Xiao-Cong Mo, Zi-Tong Zhang, Meng-Jia Song, Zi-Qi Zhou, Jian-Xiong Zeng, Yu-Fei Du, Feng-Ze Sun, Jie-Ying Yang, Jun-Yi He, Yue Huang, Jian-Chuan Xia, De-Sheng Weng
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Kinesin superfamily proteins: roles in osteosarcoma
Yao Lu, Tao Song, Xue Xue, Gaolu Cao, Panpan Huang
Frontiers in Bioscience-Landmark.2021;[Epub] CrossRef
KIF11 and KIF15 mitotic kinesins are potential therapeutic vulnerabilities for malignant peripheral nerve sheath tumors
Ernest Terribas, Marco Fernández, Helena Mazuelas, Juana Fernández-Rodríguez, Josep Biayna, Ignacio Blanco, Gabriela Bernal, Irma Ramos-Oliver, Craig Thomas, Rajiv Guha, Xiaohu Zhang, Bernat Gel, Cleofé Romagosa, Marc Ferrer, Conxi Lázaro, Eduard Serra
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Benfang Wang, Jianjiang Yu, Zhenjiang Sun, Frank Luh, Dandan Lin, Ying Shen, Ting Wang, Qi Zhang, Xiyong Liu
Molecular Carcinogenesis.2020; 59(8): 908. CrossRef
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Fangqiu Fu, Yang Zhang, Zhendong Gao, Yue Zhao, Zhexu Wen, Han Han, Yuan Li, Haiquan Chen
International Journal of Cancer.2020; 147(2): 584. CrossRef
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Aging.2020; 12(10): 8858. CrossRef
Identification of Metastasis-Associated Biomarkers in Synovial Sarcoma Using Bioinformatics Analysis
Yan Song, Xiaoli Liu, Fang Wang, Xiaoying Wang, Guanghui Cheng, Changliang Peng
Frontiers in Genetics.2020;[Epub] CrossRef
Identification of Hub Genes in Anaplastic Thyroid Carcinoma: Evidence From Bioinformatics Analysis
Liqi Li, Mingjie Zhu, Hu Huang, Junqiang Wu, Dong Meng
Technology in Cancer Research & Treatment.2020;[Epub] CrossRef
Exploration and validation of a novel prognostic signature based on comprehensive bioinformatics analysis in hepatocellular carcinoma
Xiaofei Wang, Jie Qiao, Rongqi Wang
Bioscience Reports.2020;[Epub] CrossRef
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Chunxia Cheng, Xingxing Wu, Yu Shen, Quanxi Li
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Identification of KIF11 as a Novel Target in Meningioma
Gerhard Jungwirth, Tao Yu, Mahmoud Moustafa, Carmen Rapp, Rolf Warta, Christine Jungk, Felix Sahm, Steffen Dettling, Klaus Zweckberger, Katrin Lamszus, Christian Senft, Mario Loehr, Almuth F. Keßler, Ralf Ketter, Manfred Westphal, Juergen Debus, Andreas v
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Current Molecular Medicine.2019; 19(2): 147. CrossRef

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Using the Lymph Node Ratio to Evaluate the Prognosis of Stage II/III Breast Cancer Patients Who Received Neoadjuvant Chemotherapy and Mastectomy: San-Gang Wu, Qun Li, Juan Zhou, Jia-Yuan Sun, Feng-Yan Li, Qin Lin, Huan-Xin Lin, Xun-Xing Gaun, Zhen-Yu He; Cancer Res Treat. 2015;47(4):757-764. Published online December 8, 2014; DOI: https://doi.org/10.4143/crt.2014.039

Abstract PDF PubReader ePub

Purpose
This study was conducted to investigate the prognostic value of lymph node ratio (LNR) in stage II/III breast cancer patients who undergo mastectomy after neoadjuvant chemotherapy.
Materials and Methods
Clinical and pathological data describing stage II/III breast cancer patients were included in this retrospective study. The primary outcomes were locoregional recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS).
Results
Among 277 patients, there were 43 ypN0, 64 ypN1, 89 ypN2, and 81 ypN3 cases. Additionally, there were 43, 57, 92 and 85 cases in the LNR 0, 0.01-0.20, 0.21-0.65, and > 0.65 groups, respectively. The median follow-up was 49.5 months. Univariate analysis showed that both ypN stage and LNR were prognostic factors of LRFS, DMFS, DFS, and OS (p < 0.05). Multivariate analysis showed that LNR was an independent prognostic factor of LRFS, DMFS, DFS, and OS (p < 0.05), while ypN stage had no effect on prognosis (p > 0.05).
Conclusion
The integrated use of LNR and ypN may be suitable for evaluation the prognosis of stage II/III breast cancer patients who undergo mastectomy after neoadjuvant chemotherapy.

Citations

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Prognosis and influencing factors of ER-positive, HER2-low breast cancer patients with residual disease after neoadjuvant chemotherapy: a retrospective study
Lingfeng Tang, Linshan Jiang, Xiujie Shu, Yudi Jin, Haochen Yu, Shengchun Liu
Scientific Reports.2024;[Epub] CrossRef
Prognostic disparities in young patients based on breast cancer subtype: A population-based study from the SEER database
Bing Chen, Xiaojuan Zhang, Yi Liu, Chuandong Wang
Medicine.2023; 102(13): e33416. CrossRef
The Effect of Lymph Node Harvest on Prognosis in Locally Advanced Middle-Low Rectal Cancer After Neoadjuvant Chemoradiotherapy
Zhuangbin Lin, Xiaobo Li, Jianyuan Song, Rong Zheng, Cheng Chen, Anchuan Li, Benhua Xu
Frontiers in Oncology.2022;[Epub] CrossRef
Breast Cancer Patients With Positive Apical or Infraclavicular/Ipsilateral Supraclavicular Lymph Nodes Should Be Excluded in the Application of the Lymph Node Ratio System
Zhe Wang, Wei Chong, Huikun Zhang, Xiaoli Liu, Yawen Zhao, Zhifang Guo, Li Fu, Yongjie Ma, Feng Gu
Frontiers in Cell and Developmental Biology.2022;[Epub] CrossRef
Is Pathologic Axillary Staging Valid If Lymph Nodes Are Less than 10 with Axillary Lymph Node Dissection after Neoadjuvant Chemotherapy?
Hee Jun Choi, Jai Min Ryu, Jun Ho Lee, Yoonju Bang, Jongwook Oh, Byung-Joo Chae, Seok Jin Nam, Seok Won Kim, Jeong Eon Lee, Se Kyung Lee, Jonghan Yu
Journal of Clinical Medicine.2022; 11(21): 6564. CrossRef
A novel nomogram for predicting locoregional recurrence risk in breast cancer patients treated with neoadjuvant chemotherapy and mastectomy
Zhou Huang, Mei Shi, Wei-Hu Wang, Liang-Fang Shen, Yu Tang, Qing-Lin Rong, Li Zhu, Xiao-Bo Huang, Jian Tie, Jia-Yi Chen, Jun Zhang, Hong-Fen Wu, Jing Cheng, Min Liu, Chang-Ying Ma, Shu-Lian Wang, Ye-Xiong Li
Radiotherapy and Oncology.2021; 161: 191. CrossRef
Lymph node ratio as best prognostic factor in triple‐negative breast cancer patients with residual disease after neoadjuvant chemotherapy
Gabriel A. De la Cruz‐Ku, Diego Chambergo‐Michilot, Bryan Valcarcel, Pamela Rebaza, Mecker Möller, Jhajaira M. Araujo, Daniel Enriquez, Zaida Morante, Cesar Razuri, Renato Luque, Antonella Saavedra, Eduardo Eyzaguirre, Maria Lujan, Naysha Noel, Joseph Pin
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Jianguo Lai, Zihao Pan, Peixian Chen, Guolin Ye, Kai Chen, Fengxi Su
Japanese Journal of Clinical Oncology.2019; 49(1): 22. CrossRef
Lymph node ratio as an alternative to pN staging for predicting prognosis after neoadjuvant chemotherapy in breast cancer
Dong Hui Cho, Soo Youn Bae, Ji Young You, Hong Kyu Kim, Young Woo Chang, Yoo Jin Choi, Sang Uk Woo, Gil Soo Son, Jae Bok Lee, Jeoung Won Bae, Seung Pil Jung
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Manel Cremades, Mireia Torres, Montse Solà, Jordi Navinés, Icíar Pascual, Antonio Mariscal, Albert Caballero, Eva Castellà, Miguel Ángel Luna, Joan Francesc Julián
Cirugía Española.2017; 95(9): 536. CrossRef
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Manel Cremades, Mireia Torres, Montse Solà, Jordi Navinés, Icíar Pascual, Antonio Mariscal, Albert Caballero, Eva Castellà, Miguel Ángel Luna, Joan Francesc Julián
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Liang Huang, Sheng Chen, Wentao T. Yang, Zhiming Shao
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Lymph Node Ratio Analysis After Neoadjuvant Chemotherapy is Prognostic in Hormone Receptor-Positive and Triple-Negative Breast Cancer
Jacqueline Tsai, Danielle Bertoni, Tina Hernandez-Boussard, Melinda L. Telli, Irene L. Wapnir
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Number of negative lymph nodes as a prognostic factor for ypN0-N1 breast cancer patients undergoing neoadjuvant chemotherapy
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Tumor Biology.2016; 37(6): 8445. CrossRef

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Ovarian Ablation Using Goserelin Improves Survival of Premenopausal Patients with Stage II/III Hormone Receptor-Positive Breast Cancer without Chemotherapy-Induced Amenorrhea: Juan Zhou, San-Gang Wu, Jun-Jie Wang, Jia-Yuan Sun, Feng-Yan Li, Qin Lin, Huan-Xin Lin, Zhen-Yu He; Cancer Res Treat. 2015;47(1):55-63. Published online August 21, 2014; DOI: https://doi.org/10.4143/crt.2013.165

Abstract PDF PubReader ePub

Purpose
The purpose of this study was to assess the value of ovarian ablation using goserelin in premenopausal patients with stage II/III hormone receptor-positive breast cancer without chemotherapy-induced amenorrhea (CIA). Materials and Methods We retrospectively reviewed the data of breast patients treated between October 1999 and November 2007 without CIA. The Kaplan-Meier method was used for calculation of the survival rate. Log rank method and Cox regression analysis were used for univariate and multivariate prognostic analysis. Results The median follow-up period was 61 months. Initially, 353 patients remained without CIA after chemotherapy and 98 among those who received goserelin and tamoxifen (TAM). In univariate analysis, goserelin improved locoregional recurrence-free survival (LRFS) (98.9% vs. 94.1%, p=0.041), distant metastasis-free survival (DMFS) (85.4% vs. 71.9%, p=0.006), disease-free survival (DFS) (85.4% vs. 71.6%, p=0.005), and overall survival (OS) (93.5% vs. 83.5%, p=0.010). In multivariate analysis, goserelin treatment was an independent factor influencing DMFS (hazard ratio [HR], 1.603; 95% confidence interval [CI], 1.228 to 2.092; p=0.001), DFS (HR, 1.606; 95% CI, 1.231 to 2.096; p=0.001), and OS (HR, 3.311; 95% CI, 1.416 to 7.742; p=0.006). In addition, treatment with goserelin resulted in significantly improved LRFS (p=0.039), DMFS (p=0.043), DFS (p=0.036), and OS (p=0.010) in patients aged < 40 years. In patients aged ≥ 40 years, goserelin only improved DMFS (p=0.028) and DFS (p=0.027). Conclusion Ovarian ablation with goserelin plus TAM resulted in significantly improved therapeutic efficacy in premenopausal patients with stage II/III hormone receptor-positive breast cancer without CIA.

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