Cross-Platform Gene Signature to Predict Survival Outcomes for Nasopharyngeal Carcinoma
Huaping Li, Qiuyu Jing, James Chung Hang Chow, Wah Cheuk, Kenneth Sik Kwan Chan, Suyu Hao, Kazi Anisha Islam, Wei Dai, Ka On Lam, Victor Ho Fun Lee, Wai Tong Ng, Roger Kai Cheong Ngan, Anne Wing Mui Lee, Jason Wing Hon Wong, Chi Leung ChiangPURPOSE
Nasopharyngeal carcinoma (NPC) is a multifactorial malignancy often diagnosed at an advanced stage due to nonspecific early symptoms. Accurate prognostic stratification is essential for individualized therapy but remains challenging because of biological and clinical heterogeneity. This study aimed to develop and validate a gene expression–based prognostic signature for locally advanced NPC.
METHODS
This retrospective biomarker investigation combined transcriptomic profiling and survival analyses. A prognostic model was constructed using LASSO-Cox regression in the discovery cohort (N = 99) from the multicenter, randomized phase III trial NPC-0501, and validated in independent cohorts (N = 133) from Queen Elizabeth Hospital (QEH), Hong Kong, and Sun Yat-sen University Cancer Center (SYS), Guangzhou, using different profiling methods. Mechanisms underlying the signature were explored using single-cell RNA-seq (scRNA-seq) data. The primary outcome was 3-year progression-free survival (PFS), with 5-year overall survival (OS) as a secondary end point. Performance was evaluated using hazard ratios (HRs) and survival probabilities (SP).
RESULTS
A 5-gene signature (
CONCLUSION
A robust five-gene signature was established and validated for prognostic stratification of locally advanced NPC. Reproducibility across transcriptomic platforms and biological relevance support clinical application to guide personalized treatment.