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. 2021 Oct 13;12:77–95. doi: 10.18632/genesandcancer.217

Table 2. Correlation between DVL-1 expression and markers of immune cells in breast cancer.

DESCRIPTION GENE MARKERS BRCA-LUMINAL
(N = 611)
BRCA-HER2
(N = 67)
BRCA-TNBC
(N = 139)
Cor p-value Cor p-value Cor p-value
B cell CD19 0.0046597 0.913494164 0.04140914 0.75549825 –0.2261982 0.00994861
CD79A –0.009124 0.831542125 –0.0369959 0.780375818 –0.228835 0.00922312
T cell CD3D –0.064502 0.132244282 0.00362361 0.978376301 –0.1580445 0.07368264
CD3E –0.080455 0.060284068 –0.02782 0.83398407 –0.1568426 0.075923183
CD2 –0.113064 0.008184703 –0.0606078 0.647581519 –0.1818146 0.039320345
CD8+ T cell CD8A –0.03664 0.392840297 –0.0257744 0.84604819 –0.1445886 0.10204675
CD8B –0.034776 0.417378575 0.03395675 0.798031544 –0.1904908 0.030732045
Monocyte CD86 –0.184081 1.50E-05 –0.1161309 0.380095014 –0.1938562 0.027859995
TAM CCL2 –0.157796 0.000213974 –0.1717709 0.192803141 –0.1507156 0.088214723
CD68 –0.128764 0.002574535 –0.1036821 0.433507679 –0.1358844 0.1245725
IL10 –0.168813 7.37E-05 –0.1654004 0.210021842 –0.1524877 0.084506427
M1 Macrophage NOS2 –0.042345 0.323336377 0.16306254 0.21660626 –0.0284018 0.749342348
IRF5 –0.017485 0.683516701 –0.0199299 0.880703304 0.02967352 0.738194431
M2 Macrophage CD163 –0.032746 0.445096892 –0.0987142 0.455954581 –0.1455557 0.099756256
VSIG4 –0.046773 0.2752668 –0.1527177 0.247486008 –0.1207122 0.17277137
MS4A4A –0.17308 4.79E-05 –0.1997078 0.129210713 –0.1813953 0.039782018
Neutrophils CEACAM8 –0.071667 0.094339597 –0.2079493 0.1140052 0.09022021 0.309245703
ITGAM –0.074594 0.081605213 –0.0712449 0.590899586 –0.0992621 0.262681878
CCR7 –0.016194 0.705759969 0.12893045 0.329528208 –0.2000503 0.023170596
Natural killer cells KIR2DL1 –0.060979 0.154757284 –0.018518 0.889285542 –0.0911521 0.30425437
KIR2DL3 –0.056307 0.188932789 0.11967614 0.366615011 –0.0386566 0.663603305
KIR3DL1 –0.039552 0.356299066 –0.0896774 0.499389981 –0.0798297 0.368491565
KIR3DL2 –0.086955 0.042250171 –0.1985213 0.131736054 –0.0858284 0.333483855
KIR3DL3 0.0081237 0.849785527 –0.1086901 0.412539191 –0.0930139 0.2944418
KIR2DS4 0.0030185 0.943898316 –0.0161586 0.903319451 –0.0453363 0.609931269
Dendritic cells HLA-DPB1 –0.009933 0.816870427 0.07083577 0.593037817 –0.1180344 0.182549654
HLA-DQB1 –0.04385 0.30641251 –0.1990064 0.130582081 –0.131032 0.138700884
HLA-DRA –0.139387 0.001092725 –0.0933372 0.480955449 –0.2016156 0.022099154
HLA-DPA1 –0.144852 0.00068664 –0.1326125 0.315812219 –0.2183699 0.01305403
CD1C –0.035466 0.408186814 –0.0167787 0.899628151 –0.1750478 0.047238406
ITGAX –0.061916 0.14850528 –0.0524839 0.692286752 –0.157178 0.075292444
Th1 TBX21 –0.012384 0.77279054 0.00233781 0.986110628 –0.1281138 0.147767936
STAT4 –0.13986 0.001050299 –0.0388662 0.769565062 –0.2236583 0.010972081
STAT1 –0.171199 5.80E-05 –0.1323203 0.316887168 –0.1865105 0.034450435
IFNG –0.08096 0.058685485 –0.0765676 0.564351067 –0.1353733 0.126108217
TNF –0.015774 0.713045283 –0.0979544 0.459443231 0.00626677 0.943753154
Th2 GATA3 0.1219274 0.004328742 0.31367621 0.015894689 0.01678779 0.850042493
STAT6 0.0940068 0.028059394 –0.051315 0.698811092 –0.0821165 0.354419627
STAT5A 0.0930258 0.029747692 –0.0558738 0.673493808 –0.0993683 0.262169585
IL13 –0.046235 0.280832776 0.12899372 0.330207686 –0.0797132 0.369193244
Tfh BCL6 0.0373671 0.383509691 –0.1253653 0.34316356 –0.0040977 0.963212664
IL21 –0.104767 0.014317684 –0.1158771 0.382132421 –0.1251018 0.157770632
Th17 IL17A –0.007988 0.852266864 –0.074007 0.577486223 –0.0743762 0.402205084
Treg FOXP3 –0.059286 0.166554166 –0.018761 0.887663456 –0.1243907 0.15997923
CCR8 –0.135538 0.001501096 –0.0609585 0.645678164 –0.1927225 0.028658177
STAT5B 0.0513082 0.231329692 –0.0804793 0.54358993 –0.2325973 0.008111482
TGFB1 0.045913 0.284197029 0.24003507 0.067250011 –0.0750671 0.397345376
Tcell exhaustion PDCD1 0.0406328 0.343298604 0.10829924 0.413218902 –0.0703797 0.428032756
CTLA4 –0.112693 0.00839852 –0.0345412 0.794628038 –0.1629025 0.065166522
HAVCR2 –0.202982 1.74E-06 –0.1271186 0.336414085 –0.1977862 0.024799287
GZMB –0.0604 0.158714516 –0.0142022 0.914884465 –0.1138363 0.198957762

Investigating the correlation between expression of DVL-1 with immune infiltration levels in breast cancer using TIMER. Bold values indicate the p-value < 0.05 with moderate correlation. RNA-Seq data from TCGA database is used to detect and quantify the immune infiltration levels in breast tumor subtypes.