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. 2022 Jan 12;2022:3477148. doi: 10.1155/2022/3477148

Table 1.

The relationship between SRSF9 gene expression and the prognosis of different cancers in PrognoScan.

Gene Dataset Cancer type Endpoint Number Cox p value HR 95% CI (low-high)
SRSF9 GSE1456-GPL97 Breast cancer RFS 159 0.003805 3.91 1.55–9.86
SRSF9 GSE4922-GPL96 Breast cancer DFS 249 0.007491 2.84 1.32–6.09
SRSF9 GSE4922-GPL96 Breast cancer DFS 249 0.007793 2.52 1.28–4.99
SRSF9 GSE1456-GPL97 Breast cancer DSS 159 0.012586 4.00 1.35–11.88
SRSF9 GSE31210 Lung cancer RFS 204 0.027333 2.89 1.13–7.43
SRSF9 GSE9891 Ovarian cancer OS 278 0.030832 1.70 1.05–2.74
SRSF9 GSE8970 Blood cancer OS 34 0.030936 3.98 1.14–13.95
SRSF9 GSE1456-GPL96 Breast cancer DSS 159 0.031512 3.03 1.10–8.32
SRSF9 HARVARD-LC Lung cancer OS 84 0.033228 2.84 1.09–7.42
SRSF9 GSE4922-GPL97 Breast cancer DFS 249 0.034675 2.05 1.05–4.00
SRSF9 GSE19234 Skin cancer OS 38 0.035679 4.31 1.10–16.84
SRSF9 GSE11595 Esophagus cancer OS 34 0.036602 2.33 1.05–5.15
SRSF9 GSE1456-GPL96 Breast cancer RFS 159 0.039336 2.51 1.05–6.00
SRSF9 GSE1456-GPL97 Breast cancer OS 159 0.043242 2.58 1.03–6.47
SRSF9 GSE17710 Lung cancer RFS 56 0.044264 2.48 1.02–6.02
SRSF9 GSE3494-GPL96 Breast cancer DSS 236 0.046057 2.40 1.02–5.66