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An Interpretable Four-Gene Cell-Cycle Signature Links Malignant Progression to Adverse Survival in Adult Primary
Hongkai Jia1, Nan Pu2, Chunyan Tian3
1Renal Division, Peking University Institute of Nephrology, Peking University First Hospital & Key Laboratory of Renal Disease, Ministry of Health of China & Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education of China & Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences & Beijing Key Laboratory of Precision Medicine and New-Drug/Equipment Development for Severe Kidney Disease, Beijing 100034, China.
A new four-gene score effectively summarizes adult diffuse glioma progression and survival risk. This research biomarker aids in understanding tumor biology but is not for clinical decisions.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Adult diffuse gliomas are heterogeneous and lethal.
- Current understanding of malignant progression and survival prediction needs improvement.
Purpose of the Study:
- To evaluate a compact transcriptomic program for summarizing glioma malignant progression.
- To assess the program's ability to predict adverse survival outcomes.
Main Methods:
- Analysis of adult primary gliomas (WHO grades II-IV) from CGGA cohorts (mRNAseq_693 and mRNAseq_325).
- Prioritization of four mitotic genes (CDK1, CCNB2, CDCA3, PTTG1) using a literature-informed framework.
- Evaluation of classifiers via cross-validation and assessment of a four-gene score using survival models.
Main Results:
- Identified 773 differentially expressed genes between WHO grade IV and lower-grade gliomas.
- The four-gene score demonstrated strong classification performance (AUROC ~0.79) in both primary and validation cohorts.
- The score correlated with tumor grade and predicted shorter survival, independent of age, grade, and IDH status.
Conclusions:
- The four-gene score effectively captures grade-associated proliferative biology in gliomas.
- This score provides reproducible survival risk prediction across independent cohorts.
- It serves as a valuable research biomarker for glioma biology and prognosis.
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