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. 2020 Nov 24;11(47):4401–4410. doi: 10.18632/oncotarget.27823

Table 3. The effect of clinical, pathologic, and genetic features on overall survival in patients with Merkel cell carcinoma treated with immune checkpoint inhibition (multivariate Cox proportional hazard modeling).

Variable Total (n = 45)
HR [95% CI] p-value
Female sex 2.38 0.16–34.61 0.53
Older age at diagnosis 1.04 0.97–1.13 0.28
Higher stage at diagnosis 2.88 0.69–12.08 0.15
Smoking history (current or former) 3.19 0.55–18.57 0.20
Immunosuppressed 7.49 0.59–95.51 0.12
Longer time to recurrence 1.12 0.97–1.30 0.13
Greater CPI line of therapy 1.09 0.45–2.61 0.85
Higher absolute lymphocyte count 0.39 0.06–2.53 0.33
Grade 3 or greater adverse events A 0.05 <0.01–1.08 0.05
Higher total mutational burden 1.02 0.93–1.11 0.68
MCCP 1.65 0.18–15.28 0.66

Female sex, smoking history, immunosuppressed, grade 3 or greater adverse events, and MCCP are binary categorical variables. Stage at diagnosis and line of therapy are ordinal categorical variables. All other variables are continuous variables. CI = confidence interval; CPI = immune checkpoint inhibitor; HR = hazard ratio (response vs. non-response); MCCP = Merkel cell carcinoma polyomavirus positive. A Using Common Terminology Criteria for Adverse Events (CTCAE) version 5.0.