Sim, Chor-Chien and Sim, Edmund Ui-Hang and Lee, Choon-Weng and Narayanan, Kumaran (2023) Multigenic prognosis assessment model for nasopharyngeal carcinoma via a modified meta-analysis approach. Oncologie, 25 (4). pp. 355-365. ISSN 1292-3818, DOI https://doi.org/10.1515/oncologie-2023-0066.
Full text not available from this repository.Abstract
Objectives: Currently, clinically relevant multigene-based prognostic assessment models for nasopharyngeal carcinoma (NPC) are limited. This paper reports a novel NPC prognosis assessment model based on multiple established NPC-associated biomarkers. Methods: We used a modified meta-analysis approach to retrieve eligible studies and analyse the data. Different prognostic biomarkers and hazard ratios (HRs) with 95 % confidence intervals (CIs) of overall survival (OS) data were extracted and tabulated from eligible studies. We then used the formula based on Parmar et al. to determine OS (expressed as HR with 95 % CI). Prognosis assessment risk scores assigned to the logarithm of HR were the basis for interpreting the multigene prognosis assessment model. Finally, we explained the biological significance of this model using a multigenic NPC oncogenesis network system. Results: We constructed a multigenic NPC prognosis assessment model consisting of 10 prognostic biomarkers to determine the OS rate in NPC patients. Based on the biomarkers' expression patterns, the model could determine 1,023 possible OS rates of NPC patients. The risk score derived determines the prognosis status of the NPC patients. The higher the total risk assessment score, the poorer the prognosis. An NPC-associated network involving all ten biomarkers was also derived. Conclusions: We provided a novel multigenic NPC prognosis assessment model comprising ten prognostic biomarkers on OS rate in NPC patients. A conceptual molecular-based pathophysiological network of NPC oncogenesis supported the biological relevance of this model.
| Item Type: | Article |
|---|---|
| Funders: | Malaysian Ministry of Higher Education [Grant No: TRGS/1/2016/UNIMAS/02/1/3] |
| Uncontrolled Keywords: | Biomarkers; Gene expression; Nasopharyngeal carcinoma; Overall survival rate; Prognosis |
| Subjects: | R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer) |
| Divisions: | Faculty of Science > Institute of Biological Sciences |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 08 Nov 2025 03:13 |
| Last Modified: | 08 Nov 2025 03:13 |
| URI: | http://eprints.um.edu.my/id/eprint/49780 |
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