4.6 Article

Clinicopathological and Prognostic Characteristics in Extra-Axial Chordomas: An Integrative Analysis of 86 Cases and Comparison With Axial Chordomas

期刊

NEUROSURGERY
卷 85, 期 3, 页码 E527-E542

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/neuros/nyz073

关键词

Extra-axial chordoma; Axial chordoma; Spine; Skull base; Prognostic factors; Survival; Comparative study

资金

  1. Natural Science Foundation of Hunan Province [2018JJ3738]
  2. China Scholarship Council [201706370070]

向作者/读者索取更多资源

BACKGROUND Currently, clinical characteristics and prognostic factors of extra-axial chordoma (EAC) remain poorly understood. OBJECTIVE To characterize clinicopathological characteristics in a large EAC cohort and investigate their correlation with survival. We also attempted to compare these outcomes with axial chordoma (AC). METHODS Medline and Embase searches (from inception to February 28, 2018) were conducted to identify eligible studies as per predefined criteria. The local database at our center was also retrospectively reviewed to include additional patients. RESULTS Forty-three studies from the literature and 86 patients from our local institute were identified, resulting in a total of 86 EAC patients and 75 AC patients for analysis. Overall, EAC had similar characteristics to AC, except for having higher CAM5.2 expression, common lobular growth pattern, and better prognosis. Whereas wide surgical resection was consistently associated with favorable survival in both EAC and AC cohorts on univariate analyses, most parameters showed differential prognostic implications between the 2 groups. Significant prognostic factors for local recurrence-free survival on multivariate analysis included type of surgery in both cohorts and tumor Brachyury expression and adjuvant radiotherapy in AC cohort. Multivariate analysis of overall survival demonstrated that type of surgery, tumor Brachyury expression, and duration of symptoms were significant predictors in the AC cohort, whereas none of the analyzed parameters were predictive of overall survival for the EAC group. CONCLUSION These data suggest potentially distinct biological behaviors between EAC and AC and may provide useful information to better understand the prognostic characteristics and improve the outcome prediction of EAC patients.

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