Jiwei Bai

Beijing Tian Tan Hospital

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Chuzhong Li

Beijing Institute of Neurosurgery

Yazhuo Zhang

Second People's Hospital of Yunnan Province

Songbai Gui

Beijing Tian Tan Hospital

Yujia Xiong

Beijing Institute of Neurosurgery

Yutao Shen

Beijing Institute of Neurosurgery

Mingxuan Li

Tianjin Agricultural University

Lei Cao

Hebei Medical University

Tianshun Ma

Beijing Institute of Neurosurgery

Mingxuan Li

Beijing Institute of Neurosurgery

Xiaohong R. Yang

Division of Cancer Epidemiology and Genetics

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Capital Medical University

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Beijing Tian Tan Hospital

Beijing Institute of Neurosurgery

National Cancer Institute

National Institutes of Health

Division of Cancer Epidemiology and Genetics

National Clinical Research Center for Digestive Diseases

Capital University

United States Department of Health and Human Services

Chinese Institute for Brain Research

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Supplementary fig 5 from Gene Expression Profiling Identifies Two Chordoma Subtypes Associated with Distinct Molecular Mechanisms and Clinical Outcomes

Jiwei Bai Jianxin Shi Yazhuo Zhang Chuzhong Li Yujia Xiong

Figure S5. SNAI1, SNAI3, and TWIST expression in CC1 and CC2 tumors.

Profiling (computer programming)

Chordoma

10.1158/1078-0432.22489379.v1

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Supplementary Legend 1 from Gene Expression Profiling Identifies Two Chordoma Subtypes Associated with Distinct Molecular Mechanisms and Clinical Outcomes

Jiwei Bai Jianxin Shi Yazhuo Zhang Chuzhong Li Yujia Xiong

Supplementary Legend

Legend

Profiling (computer programming)

Chordoma

10.1158/1078-0432.22489397

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Table S1-S5 from Gene Expression Profiling Identifies Two Chordoma Subtypes Associated with Distinct Molecular Mechanisms and Clinical Outcomes

Jiwei Bai Jianxin Shi Yazhuo Zhang Chuzhong Li Yujia Xiong

Table S1. Genes included in the targeted DNA panel sequencing. Table S2. Differences in clinical characteristics by molecular subtype. Table S3. Distributions of mutation status in PBRM1 and SETD2 by molecular subtype in RNASeq and Nanostring datasets. Table S4. Differentially expressed genes among molecular subtypes. Table S5. GSEA results for up- and down-regulated gene sets comparing CC2 to CC1.

Table (database)

10.1158/1078-0432.22489376.v1

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Mean platelet volume and platelet distribution width serve as prognostic biomarkers in skull base chordoma: a retrospective study

BMC Cancer (2020)

Mingxuan Li Jiwei Bai Shuai Wang Yixuan Zhai Shuheng Zhang

Abstract Background Increasing studies have demonstrated that activated platelets play an essential role in tumour progression. However, the level and prognostic role of platelet indices in chordoma patients remain unclear. The aim of the current study was to characterize the prognostic performance of platelet count (PLT), mean platelet volume (MPV) and platelet distribution width (PDW) in skull base chordoma patients. Methods 187 primary skull base chordoma patients between January 2008 and September 2014 were enrolled in this retrospective study. The optimal cut-off values were determined by X-tile software, and the correlations between PLT, MPV, PDW and clinicopathological features were further analysed. Kaplan-Meier curve and Cox regression analysis were used for survival analysis. Results The values of preoperative PTL, MPV and PDW ranged from 104 to 501 × 10 9 /L, 6.7 to 14.2 fl, and 7.8 to 26.2%, respectively. Elevated PLT was associated with larger tumour volume ( p = 0.002). Kaplan-Meier survival analysis revealed that increased MPV and PDW were associated with shorter overall survival ( p = 0.022 and 0.008, respectively). Importantly, multivariate Cox analysis demonstrated that elevated PDW was an independent unfavourable predictive factor for overall survival (hazard ratio (HR), 2.154, 95% confidence interval (CI), 1.258–3.688, p = 0.005). Conclusions Our data show that elevated MPV and PDW are associated with poor outcomes in skull base chordoma and that PDW may be helpful to identify patients with high risk.

Chordoma

Mean platelet volume

10.1186/s12885-020-07497-7

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Citations (12)

Multifocal myeloid sarcoma in the central nervous system without leukemia

Clinical Neurology and Neurosurgery (2014)

Chenlong Yang Yuanbo Liu Guang Li Jiwei Bai Jun Qian

10.1016/j.clineuro.2014.02.020

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Loss of 15-hydroxyprostaglandin dehydrogenase indicates a tumor suppressor role in pituitary adenomas

Oncology Reports (2012)

Jiwei Bai Zhe Wang Songbai Gui Yazhuo Zhang

10.3892/or.2012.1806

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Citations (3)

Supplementary fig 5 from Gene Expression Profiling Identifies Two Chordoma Subtypes Associated with Distinct Molecular Mechanisms and Clinical Outcomes

Jiwei Bai Jianxin Shi Yazhuo Zhang Chuzhong Li Yujia Xiong

Figure S5. SNAI1, SNAI3, and TWIST expression in CC1 and CC2 tumors.

SNAI1

Profiling (computer programming)

10.1158/1078-0432.22489379

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Experience of trans-nasal endoscopic surgery for pituitary tumors in a single center in China: Surgical results in a cohort of 2032 patients, operated between 2006 and 2018

Clinical Neurology and Neurosurgery (2020)

Chuzhong Li Haibo Zhu Xuyi Zong Xinsheng Wang Songbai Gui

Pituitary Tumors

Cerebrospinal fluid leak

Univariate analysis

Pituitary apoplexy

10.1016/j.clineuro.2020.106176

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A Series of 62 Skull Base Chordomas in Pediatric and Adolescent Patients: Clinical Characteristics, Treatments, and Outcomes

Neurology India (2020)

Yazhuo Zhang Jiwei Bai Shuheng Zhang Yixuan Zhai Shuai Wang

Skull base chordomas in pediatric and adolescent patients are rare and challenging for surgeons.Well-specified diagnosis and treatment are of great value for the long-term control of chordoma. This study summarizes well-followed pediatric and adolescent chordoma (PAC) patients treated in a single Asian center.PAC patients were enrolled. Data collected included clinical presentation, tumor volume, texture, surgical approach, pathology, complications, adjuvant radiotherapy (RT), and long-term outcomes.Sixty-two patients were identified from a total of 516 skull base chordoma patients (12%). Diplopia was the most prominent complaint (30%). The craniocervical junction area was the most common location (41.8%) and had the highest proportion of large tumors. The gross total resection (GTR) rate was 20.3%. The GTR rate was lowest for tumors located in the craniocervical junction area. Thirty-eight cases experienced surgical complications. Of note, there was a significant difference in the complication rate between endoscopic approaches (22.7%) and open approaches (57.9%) (P = 0.005). The mean follow-up was 66.5 months. The GTR group showed better survival compared with the non-GTR group (P = 0.043). Metastases were found in two cases. No significant difference in the overall survival (OS) time was found between the group with RT and the group without RT (P = 0.559).A higher proportion of PAC patients than previously reported exist in the population in Asia, and the metastatic rate is lower. GTR predicts excellent long-term control of the disease. RT should be considered on an individual basis.

Chordoma

10.4103/0028-3886.294548

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Application of neuroendoscopy in treatment of pituitary adenomas through combined approach in staged operations

Jiwei Bai Songbai Gui Peng Zhao

Objective To investigate application of neuroendoscopic technology in treatment of pituitaric adenomas in staged operations through combined transsphenoidal and transcranial approach.Methods The records of 32 patients who underwent staged operations through combined approach with neuroendoscopy between March 2009 and March 2013 were retrospectively reviewed.20 patients are of residual tumors and 12 are of recurrent tumors.Treatment effects are evaluated with image studies.Results Total resection of the tumor was achieved in 17 cases (53％),subtotal in 4 cases (13％),most in 7 cases (22％) and partial in 4 cases (13％).Total resection of the residual tumor was achieved in 7 out of 20 cases (35％),while that of recurrent tumor in 10 out of 12 cases (83％).Conclusion Neuroendoscopic technology is notable value in treatment for pituitary adenomas with staged operations through combined approach. Key words: Neuroendoscopy; Staged operation; Combined approach; Pituitary adenoma

10.3760/cma.j.issn.1001-2346.2013.07.004

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