01 November 2021: Database Analysis
Identification of Potential Prognostic and Predictive Biomarkers for Immune-Checkpoint Inhibitor Response in Small Cell Lung Cancer
Chanchan Gao E , Xuyu Gu A , Yan Chen C , Min Zhou D , Feng Jiang F , Shiya Zheng G*DOI: 10.12659/MSM.932275
Med Sci Monit 2021; 27:e932275
Figure 7 Validation of expression of the 6 potential biomarkers for the prognosis of SCLC in the LCE database. The forest plot presented the results of survival meta-analyses. (A) MCM2 was a risk factor in lung cancer (HR=1.20, 95% CI: 1.12–1.29). (B) EZH2 was a risk factor in lung cancer (HR=1.17, 95% CI: 1.08–1.27). (C) CDKN2A was a risk factor in lung cancer (HR=1.09, 95% CI: 1.03–1.16). (D) CENPK was a risk factor in lung cancer (HR=1.23, 95% CI: 1.11–1.38). (E) CHEK1 was a risk factor in lung cancer (HR=1.23, 95% CI: 1.14–1.33). (F) EXOSC2 was a risk factor in lung cancer (HR=1.09, 95% CI: 1.02–1.16). TE – log (HR); seTE – SE (log (HR)). (LCE database (http://lce.biohpc.swmed.edu/lungcancer/), meta-analyses module).