A systematic review of adult pineoblastoma.

IF 3.5 3区 医学 Q2 ONCOLOGY Frontiers in Oncology Pub Date : 2024-12-16 eCollection Date: 2024-01-01 DOI:10.3389/fonc.2024.1442612
Xiufeng Chu, Ting Zhang, Helen Benghiat, Jixuan Xu
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引用次数: 0

Abstract

Background: Adult pineoblastoma is an extremely rare central nervous system malignancy. Limitations of tumour databases, single institution retrospective analyses and a few case reports are not sufficient to clarify treatment options. Therefore, a systematic review of comprehensive research data provides referenceable treatment options.

Methods: A systematic review was performed using MEDLINE and Embase using the terms "pineoblastoma" and "adult". Relevant articles in the references were considered to supplement this systematic review. In addition, data were analysed using Kaplan-Meier survival curves, COX analysis, chi-square tests and log-rank tests.

Results: A total of 108 adult cases from 32 articles were included in this study and the median age at diagnosis was 30 years. The 5-year survival rate was 49.5% (95% confidence interval: 0.378-0.602) and the 10-year survival rate was 33.9% (95% confidence interval: 0.207-0.476). During the 10-year follow-up period, Kaplan-Meier survival curves highlighted that the gross total resection was more beneficial than subtotal resection and no surgery (P=0.018). The treatment modality of radiotherapy and chemotherapy was beneficial for survival (P<0.001; P=0.020). In addition, multivariate COX analysis showed that radiotherapy was an independent factor in the beneficial prognosis (P<0.001) and gross total resection tends to improve survival within five years (P=0.079).

Conclusion: For adult pineoblastoma, gross total excision and radiotherapy can be beneficial for survival.Systematic Review Registration: [website], identifier [registration number].

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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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