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01-11-2009 | Clinical Article

Long-term survivors of glioblastoma: clinical features and molecular analysis

Authors: Yukihiko Sonoda, Toshihiro Kumabe, Mika Watanabe, Yoichi Nakazato, Tomoo Inoue, Masayuki Kanamori, Teiji Tominaga

Published in: Acta Neurochirurgica | Issue 11/2009

Abstract

Background

Glioblastoma is a highly lethal neoplasm with a median survival of 12–14 months; only 2–5% of patients survive >3 years.

Methods

At our institute, patients with glioblastoma are initially treated with maximum tumor resection followed by radiation and the intravenous injection of nimustine hydrochloride (ACNU).

Results

Using this strategy, 18 of 123 (14.6%) patients treated at our hospital survived >3 years; 7 manifested no recurrence, and the other 11 had early recurrence and received additional therapies. To identify factors associated with prolonged survival, we compared these patients with 21 short-term (<1.5 years) glioblastoma survivors. In the long-term survivors, the MGMT promoter methylation was significantly more frequent. The rate of p53 mutation was lower, and the rate of PTEN mutations and the proliferation index were slightly higher in short-term survivors.

Conclusion

By multivariate analysis, we found that a younger age and MGMT promoter methylation were significant favorable factors in patients with glioblastoma.

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Title: Long-term survivors of glioblastoma: clinical features and molecular analysis
Authors: Yukihiko Sonoda
Toshihiro Kumabe
Mika Watanabe
Yoichi Nakazato
Tomoo Inoue
Masayuki Kanamori
Teiji Tominaga
Publication date: 01-11-2009
Publisher: Springer Vienna
Published in: Acta Neurochirurgica / Issue 11/2009
Print ISSN: 0001-6268
Electronic ISSN: 0942-0940
DOI: https://doi.org/10.1007/s00701-009-0387-1

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Long-term survivors of glioblastoma: clinical features and molecular analysis

Abstract

Background

Methods

Results

Conclusion

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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