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Featured researches published by Yidong Zhou.


PLOS ONE | 2014

A Prognostic Model of Triple-Negative Breast Cancer Based on miR-27b-3p and Node Status

Songjie Shen; Qiang Sun; Zhiyong Liang; Xiaojiang Cui; Xinyu Ren; Huan Chen; Xiao Zhang; Yidong Zhou

Objective Triple-negative breast cancer (TNBC) is an aggressive but heterogeneous subtype of breast cancer. This study aimed to identify and validate a prognostic signature for TNBC patients to improve prognostic capability and to guide individualized treatment. Methods We retrospectively analyzed the prognostic performance of clinicopathological characteristics and miRNAs in a training set of 58 patients with invasive ductal TNBC diagnosed between 2002 and 2012. A prediction model was developed based on independent clinicopathological and miRNA covariates. The prognostic value of the model was further validated in a separate set of 41 TNBC patients diagnosed between 2007 and 2008. Results Only lymph node status was marginally significantly associated with poor prognosis of TNBC (P = 0.054), whereas other clinicopathological factors, including age, tumor size, histological grade, lymphovascular invasion, P53 status, Ki-67 index, and type of surgery, were not. The expression levels of miR-27b-3p, miR-107, and miR-103a-3p were significantly elevated in the metastatic group compared with the disease-free group (P value: 0.008, 0.005, and 0.050, respectively). The Cox proportional hazards regression analysis revealed that lymph node status and miR-27b-3p were independent predictors of poor prognosis (P value: 0.012 and 0.027, respectively). A logistic regression model was developed based on these two independent covariates, and the prognostic value of the model was subsequently confirmed in a separate validation set. The two different risk groups, which were stratified according to the model, showed significant differences in the rates of distant metastasis and breast cancer-related death not only in the training set (P value: 0.001 and 0.040, respectively) but also in the validation set (P value: 0.013 and 0.012, respectively). Conclusion This model based on miRNA and node status covariates may be used to stratify TNBC patients into different prognostic subgroups for potentially individualized therapy.


Cancer Cell International | 2013

Expression of ALDH1 in breast invasive ductal carcinoma: an independent predictor of early tumor relapse

Ying Zhong; Yan Lin; Songjie Shen; Yidong Zhou; Feng Mao; Jinghong Guan; Qiang Sun

BackgroundThe specific mechanism underlying the contribution of the Aldehyde dehydrogenase 1 (ALDH1) phenotype to metastatic behavior and early tumor relapse in breast cancer is currently unclear.Methods147 randomly selected invasive ductal carcinoma samples were assayed for expression of ALDH1A1, NOTCH1, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor (HER2), and association of the ALDH1A1 phenotype with clinic pathological features was further evaluated.ResultsALDH1A1-positive cells were detected in 63.3% (93 of 147) of tumors. 80.0% (32 of 40) of tumors with strong ALDH1A1 staining displayed early recurrence, compared with 20.0% (8 of 40) of tumors negative for ALDH1A1 expression (P = 0.027). ALDH1A1 status was significantly correlated with strong malignant proliferative marker Ki67 staining (P = 0.001), and no significantly different expression of ALDH1A1 across the subtypes of ER, PR, and HER2 expression and triple negative features of tumor tissue. Multivariate regression analysis demonstrated that elevated ALDH1A1 expression is an independent predictor of recurrence-free survival and distant metastasis-free survival. Notably, breast cancer tissue strong for ALDH1A1 expression displayed weak NOTCH1 staining compared to ALDH1A1 weak tumor tissue (P = 0.002), and the relationship between ALDH1A1 and NOTCH1 mRNA positivity was significant (Pearson correlation - 0.337, P = 0.014; Spearman’s rho - 0.376, P = 0.006). Elevated NOTCH1 mRNA level (using a cut-off value based on the median ALDH1A1 2-△△C T value) was associated with reduction of ALDH1A1 mRNA level (P = 0.001).ConclusionsThe ALDH1A1 phenotype is an independent predictor of early tumor relapse characteristic (specifically, incidence of early local recurrence and distant metastasis) of invasive ductal carcinoma. The NOTCH1 signaling pathway is possibly involved in the negative association of the ALDH1A1 phenotype with early malignant relapse in invasive ductal carcinoma.


Oncotarget | 2016

Prognostic value of androgen receptor in triple negative breast cancer: A meta-analysis

Changjun Wang; Bo Pan; Hanjiang Zhu; Yidong Zhou; Feng Mao; Yan Lin; Qianqian Xu; Qiang Sun

Background Androgen receptor (AR) is a promising therapeutic target for breast cancer. However, its prognostic value remains controversial in triple negative breast cancer (TNBC). Here we present a meta-analysis to investigate the correlation between AR expression and TNBC prognosis. Results Thirteen relevant studies with 2826 TNBC patients were included. AR positive rate was 24.4%. AR+ patients tended to have lower tumor grade (p< 0.001), but more lymph node metastases (p < 0.01). AR positivity was associated with prolonged disease free survival (HR 0.809, 95% CI = 0.659-0.995, p < 0.05), but had no significant impact on overall survival (HR 1.270, 95% CI=0.904-1.782, p = 0.168). No difference in survival existed between subgroups using different AR or estrogen receptor cutoff values. Materials and methods Literature search was performed in Pubmed, Embase and Cochrane Central Register of Controlled Trials databases to identify relevant articles on AR and TNBC prognosis. Fixed- and random-effect meta-analyses were conducted based on the heterogeneity of included studies. Heterogeneity and impacts of covariates were further evaluated by subgroup analyses and meta-regression. Conclusion AR positivity is associated with lower risk of disease recurrence in TNBC. Further clinical studies are warranted to clarify its prognostic role on TNBC recurrence and survival.


PLOS ONE | 2016

Diagnostic Performance of Indocyanine Green-Guided Sentinel Lymph Node Biopsy in Breast Cancer: A Meta-Analysis.

Xiaohui Zhang; Yan Li; Yidong Zhou; Feng Mao; Yan Lin; Jinghong Guan; Qiang Sun

Background The diagnostic performance of indocyanine green (ICG) fluorescence-guided sentinel lymph node biopsy (SLNB) for the presence of metastases in breast cancer remains unclear. Objective We performed a meta-analysis to investigate the diagnostic performance of ICG-guided SLNB. Methods Eligible studies were identified from searches of the databases PubMed and EMBASE up to September 2015. Studies that reported the detection rate of ICG fluorescence-guided SLNB with full axillary lymph node dissection and histological or immunohistochemical examinations were included. A meta-analysis was performed to generate pooled detection rate, sensitivity, specificity, false negative rate, diagnostic odds ratio (DOR) and a summary receiver operator characteristic curve (SROC). Results Nineteen published studies were included to generate a pooled detection rate, comprising 2594 patients. The pooled detection rate was 0.98 (95% confidence interval [CI], 0.96–0.99). Six studies finally met the criteria for meta-analysis, which yielded a pooled sensitivity of 0.92 (95% CI, 0.85–0.96), specificity 1 (95% CI, 0.97–1), and DOR 311.47 (95% CI, 84.11–1153.39). The area under the SROC was 0.9758. No publication bias was found. Conclusion ICG fluorescence-guided SLNB is viable for detection of lymph node metastases in breast cancer. Large-scale randomized multi-center trials are necessary to confirm our results.


Chinese Medical Sciences Journal | 2010

Pure mucinous carcinoma of the breast: a clinicopathologic analysis with 56 patients.

Li Peng; Qiang Sun; Zhiyong Liang; Yidong Zhou; Feng Mao; Jinghong Guan

OBJECTIVE To assess recent trends and prognostic features in the treatment of pure mucinous carcinoma (PMC) of the breast. METHODS Fifty-six patients diagnosed with PMC of the breast in our hospital from December 1982 to June 2008 were included. We evaluated the general information and tumor characteristics of the patients, examined the relationship between these factors and prognosis. Fishers exact test was applied to analyze tumor characteristics. RESULTS The mean age of the patients was 53.7 years. The majority of the patients presented with early stage disease. Tumor size was found not a significant prognostic factor in this study. Mean follow-up period was 39 months and no breast cancer-related deaths were identified in the patient cohort. CONCLUSIONS PMC of the breast has a favorable prognosis. Tumor size does not appear to significantly impact survival.


PLOS ONE | 2016

Diagnostic Accuracy of PIK3CA Mutation Detection by Circulating Free DNA in Breast Cancer: A Meta-Analysis of Diagnostic Test Accuracy

Yidong Zhou; Changjun Wang; Hanjiang Zhu; Yan Lin; Bo Pan; Xiaohui Zhang; Xin Huang; Qianqian Xu; Yali Xu; Qiang Sun

Mutation of p110 alpha-catalytic subunit of phosphatidylinositol 3-kinase (PIK3CA) has high predictive and prognostic values for breast cancer. Hence, there has been a marked interest in detecting and monitoring PIK3CA genotype with non-invasive technique, such as circulating free DNA (cfDNA). However, the diagnostic accuracy of PIK3CA genotyping by cfDNA is still a problem of controversy. Here, we conducted the first meta-analysis to evaluate overall diagnostic performance of cfDNA for PIK3CA mutation detection. Literature search was performed in Pubmed, Embase and Cochrane Central Register of Controlled Trials databases. Seven cohorts from five studies with 247 patients were included. The pooled sensitivity, specificity, positive and negative likelihood ratio, diagnostic odds ratio and area under summary receiver operating characteristic curve were calculated for accuracy evaluation. The pooled sensitivity and specificity were 0.86 (95% confidence interval [CI] 0.32–0.99) and 0.98 (95% CI 0.86–1.00), respectively; the pooled positive and negative likelihood ratio were 42.8 (95% CI 5.1–356.9) and 0.14 (95% CI 0.02–1.34), respectively; diagnostic odds ratio for evaluating the overall diagnostic performance was 300 (95% CI 8–11867); area under summary receiver operating characteristic curve reached 0.99 (95% CI 0.97–0.99). Subgroup analysis with metastatic breast cancer revealed remarkable improvement in diagnostic performance (sensitivity: 0.86–0.91; specificity: 0.98; diagnostic odds ratio: 300–428). This meta-analysis proved that detecting PIK3CA gene mutation by cfDNA has high diagnostic accuracy in breast cancer, especially for metastatic breast cancer. It may serve as a reliable non-invasive assay for detecting and monitoring PIK3CA mutation status in order to deliver personalized and precise treatment.


OncoTargets and Therapy | 2016

NOTCH1 is a poor prognostic factor for breast cancer and is associated with breast cancer stem cells

Ying Zhong; Songjie Shen; Yidong Zhou; Feng Mao; Yan Lin; Jinghong Guan; Yali Xu; Shu Zhang; Xu Liu; Qiang Sun

Recently, the human gene NOTCH1 has been found to be implicated in cancer cell metastasis and the maintenance of cancer stem cells. However, for breast cancer in particular, an association between NOTCH1 levels and metastasis has not been determined. In this study, we investigated the expression status and correlation of NOTCH1 with clinically important factors related to metastasis and the cancer stem cell marker ALDH1. NOTCH1 and ALDH1 levels in 115 tumor tissues from primary lesions were determined by immunohistochemical staining. Most tissues were stained positive for both NOTCH1 and ALDH1, and NOTCH1 positivity was significantly associated with ALDH1 levels. NOTCH1 levels were significantly associated with TNM stage, metastasis, and triple-negative breast cancer. Moreover, both univariate and multivariate regression analyses revealed that basal-like features and NOTCH1 positivity were associated with disease-free survival as independent predictors. These analyses indicated that breast cancer patients testing positive for NOTCH1 had shorter disease-free survival. Our findings suggest that NOTCH1 may be involved in metastasis and is closely correlated with breast cancer stem cells.


PLOS ONE | 2015

Ultrasound-Assisted Thoracic Paravertebral Block Reduces Intraoperative Opioid Requirement and Improves Analgesia after Breast Cancer Surgery: A Randomized, Controlled, Single-Center Trial.

Lijian Pei; Yidong Zhou; Gang Tan; Feng Mao; Dongsheng Yang; Jinghong Guan; Yan Lin; Xuejing Wang; Yanna Zhang; Xiaohui Zhang; Songjie Shen; Zhonghuang Xu; Qiang Sun; Yuguang Huang

Objectives The contribution of ultrasound-assisted thoracic paravertebral block to postoperative analgesia remains unclear. We compared the effect of a combination of ultrasound assisted-thoracic paravertebral block and propofol general anesthesia with opioid and sevoflurane general anesthesia on volatile anesthetic, propofol and opioid consumption, and postoperative pain in patients having breast cancer surgery. Methods Patients undergoing breast cancer surgery were randomly assigned to ultrasound-assisted paravertebral block with propofol general anesthesia (PPA group, n = 121) or fentanyl with sevoflurane general anesthesia (GA group, n = 126). Volatile anesthetic, propofol and opioid consumption, and postoperative pain intensity were compared between the groups using noninferiority and superiority tests. Results Patients in the PPA group required less sevoflurane than those in the GA group (median [interquartile range] of 0 [0, 0] vs. 0.4 [0.3, 0.6] minimum alveolar concentration [MAC]-hours), less intraoperative fentanyl requirements (100 [50, 100] vs. 250 [200, 300]μg,), less intense postoperative pain (median visual analog scale score 2 [1, 3.5] vs. 3 [2, 4.5]), but more propofol (median 529 [424, 672] vs. 100 [100, 130] mg). Noninferiority was detected for all four outcomes; one-tailed superiority tests for each outcome were highly significant at P<0.001 in the expected directions. Conclusions The combination of propofol anesthesia with ultrasound-assisted paravertebral block reduces intraoperative volatile anesthetic and opioid requirements, and results in less post operative pain in patients undergoing breast cancer surgery. Trial Registration ClinicalTrial.gov NCT00418457


Clinical Breast Cancer | 2012

A hidden breast lump covered by nipple appendices in a patient with von recklinghausen disease: a case report and review of the literature.

Yidong Zhou; Bo Pan; Feng Mao; Qing-Li Zhu; Zhen Huo; Hong-Yan Wang; Feng Cai; Zhiyong Liang; Changjun Wang; Yanna Zhang; Qiang Sun

Introduction It is well established that patients with von Recklinghausen disease, also called neurofibromatosis type 1 (NF1), have an increased Clinical Pra What is already known about this subject? ● Neurofibromatosis type 1 (NF1) increases the chance of breast cancer developing and belongs to a high-risk population for early screening. ● The diagnosis of breast cancer in patients with NF1 is usually delayed because the patient mistakenly identifies the breast lump as neurofibroma. ● Appendices on the nipple of patients with NF1 are neurofibromas in contrast to simple hyperplasia. ● The diagnosis of breast cancer in patients with NF1 is difficult, and most cases are diagnosed at an advanced stage. ● Chinese women are younger and have denser and smaller breasts when breast cancer develops than is true of their Western counterparts, and ultrasonography might be a better screening imaging test in China. What are the new findings? ● The nipples of patients with NF1 can be remarkably enlarged because of multiple neurofibroma appendi-


Breast Journal | 2017

Prognostic Value of PD-L1 in Breast Cancer: A Meta-Analysis

Changjun Wang; Hanjiang Zhu; Yidong Zhou; Feng Mao; Yan Lin; Bo Pan; Xiaohui Zhang; Qianqian Xu; Xin Huang; Qiang Sun

Programmed cell death 1 ligand 1 (PD‐L1) is a promising therapeutic target for cancer immunotherapy. However, the correlation between PD‐L1 and breast cancer survival remains unclear. Here, we present the first meta‐analysis to investigate the prognostic value of PD‐L1 in breast cancer. We searched Pubmed, Embase, and Cochrane Central Register of Controlled Trials databases for relevant studies evaluating PD‐L1 expression and breast cancer survival. Fixed‐ and random‐effect meta‐analyses were conducted based on heterogeneity of included studies. Publication bias was evaluated by funnel plot and Beggs test. Overall, nine relevant studies with 8583 patients were included. PD‐L1 overexpression was found in 25.8% of breast cancer patients. PD‐L1 (+) associated with several high‐risk prognostic indicators, such as ductal cancer (p = 0.037), high tumor grade (p = 0.000), ER negativity (p = 0.000), PR negativity (p = 0.000), HER2 positivity (p = 0.001) and aggressive molecular subtypes (HER2‐rich and Basal‐like p = 0.000). PD‐L1 overexpression had no significant impact on metastasis‐free survival (HR 0.924, 95% CI = 0.747–1.141, p = 0.462), disease‐free survival (HR 1.122, 95% CI = 0.878–1.434, p = 0.357) and overall specific survival (HR 0.837, 95% CI = 0.640–1.093, p = 0.191), but significantly correlated with shortened overall survival (HR 1.573, 95% CI = 1.010–2.451, p = 0.045). PD‐L1 overexpression in breast cancer associates with multiple clinicopathological parameters that indicated poor outcome, and may increase the risk for mortality. Further standardization of PD‐L1 assessment assay and well‐controlled clinical trials are warranted to clarify its prognostic and therapeutic value.

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Qiang Sun

Peking Union Medical College Hospital

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Feng Mao

Peking Union Medical College Hospital

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Yan Lin

Peking Union Medical College Hospital

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Songjie Shen

Peking Union Medical College Hospital

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Bo Pan

Peking Union Medical College Hospital

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Changjun Wang

Peking Union Medical College Hospital

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Xiaohui Zhang

Peking Union Medical College Hospital

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Jinghong Guan

Peking Union Medical College Hospital

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Qianqian Xu

Peking Union Medical College Hospital

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Qing-Li Zhu

Peking Union Medical College Hospital

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