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

Table 2. The effect of clinical, pathologic, and genetic features on CPI response in Merkel cell carcinoma patients (multivariate logistic regression modeling).

Variable Total (n = 39)
OR [95% CI] p-value
Female sex 3.00 0.05–163.94 0.59
Older age at diagnosis 0.91 0.78–1.06 0.24
Higher stage at diagnosis 0.06 < 0.01–0.92 0.04
Smoking history (current or former) 0.71 0.03–14.63 0.83
Immunosuppressed 0.05 < 0.01–2.87 0.15
Longer time to recurrence 0.75 0.56–0.99 0.05
Greater CPI line of therapy 1.21 0.35–4.24 0.76
Higher absolute lymphocyte count 1.12 0.69–1.82 0.64
Grade 3 or greater adverse eventsA 12.39 0.67–229.27 0.09
Higher total mutational burden 0.94 0.83–1.07 0.35
MCCP 0.28 0.01–13.39 0.52

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. Bolded p-values represent those below 0.05. Only includes patients evaluable for radiographic response. CI = confidence interval; CPI = immune checkpoint inhibitor; MCCP = Merkel cell carcinoma polyomavirus positive; OR = Odds ratio (response vs. non-response). AUsing Common Terminology Criteria for Adverse Events (CTCAE) version 5.0.