AB059. Molecular signatures for survival prediction in glioma: a prospective, real-world data analysis

In our cohort, the revised World Health Organization (WHO) classification shows significant implications on prognosis and implications for treatment. Although these markers are not commonly used in low-and-middle-income country centers, our results strongly support their greater implementation for improved prognostication and reclassification.

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Publication Details

Journal
Chinese Clinical Oncology
Published
2024-08-01
DOI
https://doi.org/10.21037/cco-24-ab059
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

AB059. Molecular signatures for survival prediction in glioma: a prospective, real-world data analysis

Syed Hani Abidi, Ahmed Gilani, Sufiyan Sufiyan, Nouman Mughal et al.
Chinese Clinical Oncology
Bioinformatics and Genomic Networks
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AB059. Molecular signatures for survival prediction in glioma: a prospective, real-world data analysis

Syed Hani Abidi, Ahmed Gilani, Sufiyan Sufiyan, Nouman Mughal, Altaf Ali Laghari, Mohammad Hamza Bajwa, Syed Ather Enam, Wajiha Amin, Arsalan Ahmed
article en

Abstract

In our cohort, the revised World Health Organization (WHO) classification shows significant implications on prognosis and implications for treatment. Although these markers are not commonly used in low-and-middle-income country centers, our results strongly support their greater implementation for improved prognostication and reclassification.

Chinese Clinical OncologyVol. 13(Suppl 1)
Aga Khan University (PK), Nazarbayev University (KZ)
Zero hunger
Openalex Percentile: Top 88%
Bioinformatics and Genomic Networks
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