Pathological feature change and prognostic role of primary and local recurrent chordoma in skull base

Liang Wang, Kaibing Tian, Junpeng Ma, X. Huo, Junting Zhang, Liwei Zhang, Zhen Wu, Guilin Li, Jiang Du
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Abstract

Objective To investigate the pathological characteristics and changing trend in primary and local recurrent skull base chordoma, and to analyze their correlation with the outcomes. Methods A total of 89 samples of primary and local recurrent tumors pathologically confirmed from 38 patients who were treated in Neurosurgery Department of Beijing Tiantan Hospital, Capital Medical University between February 2005 and December 2014 were retrospectively enrolled into this self-control study. After HE staining, the pathological features such as nuclear atypia, mitosis, matrix ratio, necrosis, bone invasion and pathological subtypes were analyzed. The expressions of p53, Ki-67, EGFR, VEGFR and TRAF6 were detected by immunohistochemical staining. The changes of pathological indexes as above in primary and recurrence stages were compared. Cox analyses were used to analyze the effects of above pathological indexes on the progression-free survival (PFS) of patients with primary tumor, and the effects of the changes regarding those factors on the overall survival (OS). Results Ten cases (35.7%) of classical subtype changed to myeloid subtype, while none of chondroid chordoma changed to myeloid subtype after recurrence. Twelve cases (31.6%) demonstrated necrosis companied with tumor recurrence. Twenty-five cases (73.5%) of primary tumor showed high-expression of TRAF6, and 19 cases (50.0%) had decreased expression intensity of TRAF6 after tumor recurrence. There were 16 cases (42.1%) and 15 cases (39.5%) with upregulation of P53 and EGFR respectively. Necrosis (HR=7.1, 95% CI: 1.4-37.1, P=0.006), pathological subtype (HR=3.9, 95% CI: 1.2-7.2, P=0.040) and TRAF6≥3 grade (HR=0.2, 95% CI: 0.1-0.5, P<0.001) in primary tumors were directly related to PFS, and TRAF6≥3 grade (HR=0.2, 95% CI: 0.1-0.5, P<0.010) was an independent protective factor for PFS. There was no significant difference in the OS rate among the above pathological changes. Conclusions Classical chordoma shows malignant transformation to the myeloid subtype, which is not found in chondroid subtype. The expression of TRAF6 decreases gradually with tumor recurrence, and its high expression in primary tumor is an independent protective factor for PFS. Key words: Chordoma; Skull base neoplasms; Pathology; TNF receptor-associated factor 6; Prognosis
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颅底原发性和局部复发性脊索瘤的病理特征变化及预后作用
目的探讨原发性和局部复发性颅底脊索瘤的病理特点及变化趋势,并分析其与预后的关系。方法回顾性分析首都医科大学北京天坛医院神经外科2005年2月至2014年12月收治的38例经病理证实的原发性和局部复发性肿瘤89例。HE染色后,分析细胞核异型性、有丝分裂、基质比例、坏死、骨侵袭和病理亚型等病理特征。免疫组化染色检测p53、Ki-67、EGFR、VEGFR和TRAF6的表达。比较上述病理指标在原发期和复发期的变化。Cox分析用于分析上述病理指标对原发性肿瘤患者无进展生存期(PFS)的影响,以及这些因素的变化对总生存期(OS)的影响。结果10例(35.7%)经典亚型复发后转为髓系亚型,软骨样脊索瘤复发后无一例转为髓细胞亚型。坏死伴肿瘤复发12例(31.6%)。25例(73.5%)原发性肿瘤显示TRAF6高表达,19例(50.0%)肿瘤复发后TRAF6表达强度降低。P53和EGFR分别上调16例(42.1%)和15例(39.5%)。原发性肿瘤的坏死(HR=7.1,95%CI:1.4-37.1,P=0.006)、病理亚型(HR=3.9,95%CI:1.2-7.2,P=0.040)和TRAF6≥3级(HR=0.2,95%CI:0.1-0.5,P<0.001)与PFS直接相关,TRAF6≥三级(HR=0.02,95%CI=0.1-0.5,P=0.010)是PFS的独立保护因素。OS发生率在上述病理变化中无显著差异。结论经典脊索瘤表现为髓细胞亚型的恶性转化,而软骨样亚型没有这种转化。TRAF6的表达随着肿瘤复发而逐渐降低,其在原发性肿瘤中的高表达是PFS的独立保护因素。关键词:合唱;颅底肿瘤;病理学;TNF受体相关因子6;预后
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来源期刊
中华神经外科杂志
中华神经外科杂志 Medicine-Surgery
CiteScore
0.10
自引率
0.00%
发文量
10706
期刊介绍: Chinese Journal of Neurosurgery is one of the series of journals organized by the Chinese Medical Association under the supervision of the China Association for Science and Technology. The journal is aimed at neurosurgeons and related researchers, and reports on the leading scientific research results and clinical experience in the field of neurosurgery, as well as the basic theoretical research closely related to neurosurgery.Chinese Journal of Neurosurgery has been included in many famous domestic search organizations, such as China Knowledge Resources Database, China Biomedical Journal Citation Database, Chinese Biomedical Journal Literature Database, China Science Citation Database, China Biomedical Literature Database, China Science and Technology Paper Citation Statistical Analysis Database, and China Science and Technology Journal Full Text Database, Wanfang Data Database of Medical Journals, etc.
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