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Comprehensive analysis of potential prognostic biomarker in gliomas

Zunpeng Yu (School of Information Management, Wuhan University, Wuhan, China)
Long Lu (School of Information Management, Wuhan University, Wuhan, China)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 5 June 2020

Issue publication date: 4 November 2020

153

Abstract

Purpose

Gliomas are common intracranial tumors with the characteristic of diffuse and invasive growth. The prognosis is poor, and the recurrence rate and mortality are higher. With the development of big data technology, many methods such as natural language processing, computer vision and image processing have been deeply applied in the medical field. This can help clinicians to provide personalized and precise diagnosis and therapeutic schedule for patients with different type of gliomas to achieve the best therapeutic effect. The purpose of this paper is to summarize and extract useful information from published research results by conducting a secondary analysis of the literature.

Design/methodology/approach

The PubMed and China National Knowledge Infrastructure (CNKI) literature database were used to retrieve published Chinese and English research papers about human gliomas. Comprehensive analysis was applied to conduct this research. The factors affecting survival and prognosis were screened and analyzed respectively in this paper, and different methods for multidimensional data of patients were discussed.

Findings

This paper identified biomarkers and therapeutic modalities associated with prognosis for different grade of gliomas. This paper investigated the relationship among these clinical prognostic factors and different histopathologic tying and grade of gliomas by comprehensive analysis. This paper summarizes the research progress of biomarker in medical imaging and genomics of gliomas to improve prognosis and the current status of treatment in China.

Originality/value

Combined with multimodal data such as genomics data, medical image data and clinical information data, this paper comprehensively analyzed the prognostic factors of glioma and provided guidance and evidence for rational treatment planning and improvement of clinical treatment prognosis.

Keywords

Citation

Yu, Z. and Lu, L. (2020), "Comprehensive analysis of potential prognostic biomarker in gliomas", Library Hi Tech, Vol. 38 No. 4, pp. 783-797. https://doi.org/10.1108/LHT-08-2019-0173

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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