Skip to main content
. Author manuscript; available in PMC: 2023 Apr 1.
Published in final edited form as: Breast Cancer Res Treat. 2022 Mar 14;192(3):639–648. doi: 10.1007/s10549-022-06509-3

Table 3:

TP53 Mutation Frequency by Age and Tumor Characteristics

Tumor Subtypes
Mutation type ER− (n=777) ER+ (n=704) TNBC (n=439) Non-TNBC (n=782) Mean age
GOF 216 (27.8%) 216 (30.7%) 126 (28.7%) 230 (29.4%) 54.5
LOF 514 (66.1%) 424 (60.2%) 291 (66.3%) 485 (62%) 55.0
Unknown 47 (6%) 64 (9.1%) 22 (5%) 67 (8.6%) NA
p-value 0.10 0.51 0.52
DNE+ 288 (37.1%) 297 (42.2%) 162 (36.9%) 317 (40.5%) 54.5
DNE− 384 (49.4%) 285 (40.5%) 226 (51.5%) 331 (42.3%) 55.0
Unknown 105 (13.5%) 122 (17.3%) 51 (11.6%) 134 (17.1%) NA
p-value 0.0045 0.029 0.49
Hotspot 143 (18.4%) 151 (21.4%) 81 (18.5%) 164 (21%) 53.6
Non-hotspot 634 (81.6%) 553 (78.6%) 358 (81.5%) 618 (79%) 55.0
p-value 0.15 0.20 0.065
Hotspot CpG 126 (16.2%) 131 (18.6%) 75 (17.1%) 135 (17.3%) 54.0
Non-hotspot CpG 651 (83.8%) 573 (81.4%) 364 (82.9%) 647 (82.7%) 55.0
p-value 0.24 1.0 0.30

n, number; GOF, gain-of-function mutation; LOF, loss-of-function mutation; DNE+, dominant negative activity present; DNE−, no dominant negative activity; ER, Estrogen receptor; TNBC, Triple negative breast cancer