Literature DB >> 31125781

Predictive Value of Transforming Growth Factor-α and Ki-67 for the Prognosis of Skull Base Chordoma.

Shuheng Zhang1, Jiwei Bai2, Mingxuan Li3, Yixuan Zhai4, Shuai Wang3, Qian Liu3, Chuzhong Li3, Songbai Gui5, Yazhuo Zhang6.   

Abstract

OBJECTIVE: We aimed to characterize the expression of transforming growth factor-α (TGF-α) and Ki-67 and to assess the relationship between TGF-α and Ki-67 expression and prognostic factors in skull base chordoma.
METHODS: We retrospectively analyzed the data from 46 patients with skull base chordoma. The follow-up duration ranged from 1 to 168 months (mean, 74.1). The survival data were statistically analyzed using the Kaplan-Meier method and multivariate Cox regression analysis. The expression of TGF-α and Ki-67 were detected by immunohistochemical staining of paraffin-embedded patient tissue specimens.
RESULTS: The total resection (TR) group had longer overall survival compared with the non-TR group (P = 0.042). The TR group also had longer progression-free survival (PFS) than did the non-TR group (P = 0.046). The group with a high Ki-67 labeling index (Ki-67LI) had shorter overall survival than did the group with a low Ki-67LI (P = 0.039). Also, the group with a high Ki-67LI had significantly shorter PFS than did the group with a low Ki-67LI (P = 0.016). Moreover, the group with high TGF-α expression had significantly shorter PFS compared with the group with low TGF-α expression (P = 0.005).
CONCLUSIONS: Our results have shown that high levels of TGF-α and Ki-67 are associated with shorter PFS in patients with chordoma. We have confirmed the role of Ki-67 as a functional molecular marker of poor prognosis. We also identified TGF-α as a potential novel biomarker for predicting prognosis for patients with skull base chordoma.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ki-67; Skull base chordoma; Survival analysis; TGF-α

Mesh:

Substances:

Year:  2019        PMID: 31125781     DOI: 10.1016/j.wneu.2019.05.110

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  5 in total

1.  MRI Signal Intensity and Electron Ultrastructure Classification Predict the Long-Term Outcome of Skull Base Chordomas.

Authors:  J Bai; J Shi; S Zhang; C Zhang; Y Zhai; S Wang; M Li; C Li; P Zhao; S Geng; S Gui; L Jing; Y Zhang
Journal:  AJNR Am J Neuroradiol       Date:  2020-05-07       Impact factor: 3.825

2.  Endoscopic Endonasal Surgical Strategy for Skull Base Chordomas Based on Tumor Growth Directions: Surgical Outcomes of 167 Patients During 3 Years.

Authors:  Jiwei Bai; Mingxuan Li; Yujia Xiong; Yutao Shen; Chunhui Liu; Peng Zhao; Lei Cao; Songbai Gui; Chuzhong Li; Yazhuo Zhang
Journal:  Front Oncol       Date:  2021-09-22       Impact factor: 6.244

3.  PALB2 as a factor to predict the prognosis of patients with skull base chordoma.

Authors:  Yujia Xiong; Mingxuan Li; Yutao Shen; Tianshun Ma; Jiwei Bai; Yazhuo Zhang
Journal:  Front Oncol       Date:  2022-09-08       Impact factor: 5.738

4.  Prognostic molecular biomarkers in chordomas: A systematic review and identification of clinically usable biomarker panels.

Authors:  Franco Rubino; Christopher Alvarez-Breckenridge; Kadir Akdemir; Anthony P Conley; Andrew J Bishop; Wei-Lien Wang; Alexander J Lazar; Laurence D Rhines; Franco DeMonte; Shaan M Raza
Journal:  Front Oncol       Date:  2022-09-29       Impact factor: 5.738

5.  A correlation analysis of sacrococcygeal chordoma imaging and clinical characteristics with the prognostic factors.

Authors:  Fei Zhao; Shujian Tian; Lei Zheng; Yue Li; Lu Zhang; Song Gao
Journal:  Front Oncol       Date:  2022-09-26       Impact factor: 5.738

  5 in total

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