Immune infiltration of tumors is closely associated with clinical outcome in renal cell carcinoma (
RCC
). Tumor‐infiltrating immune cells (
TIIC
s) regulate cancer progression and are appealing therapeutic targets. The purpose of this study was to determine the composition of
TIIC
s in
RCC
and further reveal the independent prognostic values of
TIIC
s.
CIBERSORT
, an established algorithm, was applied to estimate the proportions of 22 immune cell types based on gene expression profiles of 891 tumors. Cox regression was used to evaluate the association of
TIIC
s and immune checkpoint modulators with overall survival (
OS
). We found that
CD
8+ T cells were associated with prolonged
OS
(hazard ratio [
HR
] = 0.09, 95% confidence interval [
CI
].01‐.53;
P
=
0.03) in chromophobe carcinoma (
KICH
). A higher proportion of regulatory T cells was associated with a worse outcome (
HR
= 1.59, 95%
CI
1.23‐.06;
P
<
0.01) in renal clear cell carcinoma (
KIRC
). In renal papillary cell carcinoma (
KIRP
), M1 macrophages were associated with a favorable outcome (
HR
= .43, 95%
CI
.25‐.72;
P
<
0.01), while M2 macrophages indicated a worse outcome (
HR
= 2.55, 95%
CI
1.45‐4.47;
P
<
0.01). Moreover, the immunomodulator molecules
CTLA
4 and
LAG
3 were associated with a poor prognosis in
KIRC
, and
IDO
1 and
PD
‐L2 were associated with a poor prognosis in
KIRP
. This study indicates
TIIC
s are important determinants of prognosis in
RCC
meanwhile reveals potential targets and biomarkers for immunotherapy development.