1 research outputs found
Rare FGFR fusion genes in cervical cancer and transcriptomeâbased subgrouping of patients with a poor prognosis
Abstract Background Although cervical cancer is often characterized as preventable, its incidence continues to increase in lowâ and middleâincome countries, underscoring the need to develop novel therapeutics for this disease.This study assessed the distribution of fusion genes across cancer types and used an RNAâbased classification to divide cervical cancer patients with a poor prognosis into subgroups. Material and Methods RNA sequencing of 116 patients with cervical cancer was conducted. Fusion genes were extracted using StarFusion program. To identify a highârisk group for recurrence, 65 patients who received postoperative adjuvant therapy were subjected to nonânegative matrix factorization to identify differentially expressed genes between recurrent and nonrecurrent groups. Results We identified three cases with FGFR3âTACC3 and one with GOPCâROS1 fusion genes as potential targets. A search of publicly available data from cBioPortal (21,789 cases) and the Center for Cancer Genomics and Advanced Therapeutics (32,608 cases) showed that the FGFR3 fusion is present in 1.5% and 0.6% of patients with cervical cancer, respectively. The frequency of the FGFR3 fusion gene was higher in cervical cancer than in other cancers, regardless of ethnicity. Nonânegative matrix factorization identified that the patients were classified into four Basis groups. Pathway enrichment analysis identified more extracellular matrix kinetics dysregulation in Basis 3 and more immune system dysregulation in Basis 4 than in the good prognosis group. CIBERSORT analysis showed that the fraction of M1 macrophages was lower in the poor prognosis group than in the good prognosis group. Conclusions The distribution of FGFR fusion genes in patients with cervical cancer was determined by RNAâbased analysis and used to classify patients into clinically relevant subgroups