Datasets:
sample_id
stringlengths 16
16
| population
stringclasses 7
values | region
stringclasses 5
values | is_SSA
bool 2
classes | is_reference_panel
bool 2
classes | sex
stringclasses 2
values | age
int64 18
90
| er_status
stringclasses 2
values | pr_status
stringclasses 2
values | er_percent_positive
float64 0
100
| pr_percent_positive
float64 0
100
| her2_ihc_score
stringclasses 4
values | her2_positive
bool 2
classes | ki67_category
stringclasses 3
values | ki67_percent
float64 0
100
| p53_pattern
stringclasses 2
values | p53_aberrant
bool 2
classes | egfr_status
stringclasses 2
values | egfr_positive
bool 2
classes | hr_status
stringclasses 2
values | tnbc_like
bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
IHC_SAMPLE_00001
|
SSA_West
|
West
| true
| false
|
Female
| 53
|
Positive
|
Negative
| 70.6
| 0.8
|
2+
| false
|
Low
| 5.2
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00002
|
SSA_West
|
West
| true
| false
|
Female
| 39
|
Negative
|
Positive
| 3
| 98
|
0
| false
|
Low
| 18.7
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00003
|
SSA_West
|
West
| true
| false
|
Female
| 58
|
Negative
|
Positive
| 3.5
| 61.4
|
0
| false
|
High
| 56.7
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00004
|
SSA_West
|
West
| true
| false
|
Female
| 60
|
Positive
|
Negative
| 63
| 1
|
2+
| false
|
Low
| 5
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00005
|
SSA_West
|
West
| true
| false
|
Female
| 29
|
Negative
|
Negative
| 0
| 0
|
0
| false
|
Intermediate
| 17.8
|
Wild_type
| false
|
Negative
| false
|
HR_negative
| true
|
IHC_SAMPLE_00006
|
SSA_West
|
West
| true
| false
|
Female
| 36
|
Negative
|
Positive
| 6.7
| 86.7
|
1+
| false
|
High
| 50.8
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00007
|
SSA_West
|
West
| true
| false
|
Female
| 51
|
Negative
|
Negative
| 0.9
| 3.7
|
3+
| true
|
Low
| 6.9
|
Overexpression
| true
|
Negative
| false
|
HR_negative
| false
|
IHC_SAMPLE_00008
|
SSA_West
|
West
| true
| false
|
Female
| 47
|
Positive
|
Positive
| 59.9
| 86.4
|
0
| false
|
High
| 20
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00009
|
SSA_West
|
West
| true
| false
|
Female
| 50
|
Positive
|
Positive
| 80.7
| 89.7
|
3+
| true
|
High
| 46.2
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00010
|
SSA_West
|
West
| true
| false
|
Female
| 41
|
Positive
|
Negative
| 76.9
| 2.8
|
3+
| true
|
Low
| 13.2
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00011
|
SSA_West
|
West
| true
| false
|
Female
| 60
|
Negative
|
Negative
| 0
| 1
|
0
| false
|
High
| 49.3
|
Wild_type
| false
|
Negative
| false
|
HR_negative
| true
|
IHC_SAMPLE_00012
|
SSA_West
|
West
| true
| false
|
Female
| 59
|
Negative
|
Positive
| 0.7
| 76.6
|
0
| false
|
High
| 54.6
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00013
|
SSA_West
|
West
| true
| false
|
Female
| 51
|
Negative
|
Positive
| 0
| 100
|
0
| false
|
Low
| 8.6
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00014
|
SSA_West
|
West
| true
| false
|
Female
| 62
|
Positive
|
Positive
| 87.5
| 82.7
|
0
| false
|
High
| 44.6
|
Wild_type
| false
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00015
|
SSA_West
|
West
| true
| false
|
Female
| 55
|
Negative
|
Positive
| 0
| 86.1
|
2+
| false
|
Low
| 6.1
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00016
|
SSA_West
|
West
| true
| false
|
Female
| 41
|
Negative
|
Positive
| 0.7
| 70.9
|
1+
| false
|
High
| 64.9
|
Wild_type
| false
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00017
|
SSA_West
|
West
| true
| false
|
Female
| 54
|
Positive
|
Positive
| 65.1
| 85
|
1+
| false
|
Intermediate
| 20.9
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00018
|
SSA_West
|
West
| true
| false
|
Female
| 39
|
Positive
|
Positive
| 96.1
| 83.2
|
3+
| true
|
Low
| 11.9
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00019
|
SSA_West
|
West
| true
| false
|
Female
| 60
|
Negative
|
Negative
| 0
| 3.5
|
1+
| false
|
High
| 39.2
|
Wild_type
| false
|
Negative
| false
|
HR_negative
| true
|
IHC_SAMPLE_00020
|
SSA_West
|
West
| true
| false
|
Female
| 49
|
Negative
|
Positive
| 0
| 91.6
|
3+
| true
|
High
| 61.4
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00021
|
SSA_West
|
West
| true
| false
|
Female
| 48
|
Positive
|
Negative
| 76.3
| 0
|
2+
| false
|
High
| 87.8
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00022
|
SSA_West
|
West
| true
| false
|
Female
| 43
|
Negative
|
Positive
| 1
| 81.8
|
1+
| false
|
High
| 53.9
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00023
|
SSA_West
|
West
| true
| false
|
Female
| 63
|
Positive
|
Negative
| 74.6
| 2.6
|
0
| false
|
Intermediate
| 23.4
|
Wild_type
| false
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00024
|
SSA_West
|
West
| true
| false
|
Female
| 48
|
Negative
|
Negative
| 1.8
| 0
|
1+
| false
|
Low
| 11.8
|
Overexpression
| true
|
Positive
| true
|
HR_negative
| true
|
IHC_SAMPLE_00025
|
SSA_West
|
West
| true
| false
|
Female
| 45
|
Positive
|
Positive
| 57.7
| 60.8
|
2+
| false
|
Intermediate
| 28.4
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00026
|
SSA_West
|
West
| true
| false
|
Female
| 46
|
Negative
|
Negative
| 3
| 8.5
|
3+
| true
|
Intermediate
| 22.3
|
Overexpression
| true
|
Positive
| true
|
HR_negative
| false
|
IHC_SAMPLE_00027
|
SSA_West
|
West
| true
| false
|
Female
| 56
|
Positive
|
Negative
| 88.7
| 2.7
|
1+
| false
|
Intermediate
| 37.3
|
Wild_type
| false
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00028
|
SSA_West
|
West
| true
| false
|
Female
| 54
|
Positive
|
Negative
| 65.5
| 0
|
1+
| false
|
Low
| 15.9
|
Wild_type
| false
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00029
|
SSA_West
|
West
| true
| false
|
Female
| 55
|
Negative
|
Positive
| 0
| 95.6
|
0
| false
|
Intermediate
| 15.9
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00030
|
SSA_West
|
West
| true
| false
|
Female
| 55
|
Positive
|
Positive
| 78.2
| 86.9
|
1+
| false
|
High
| 31.6
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00031
|
SSA_West
|
West
| true
| false
|
Female
| 74
|
Positive
|
Positive
| 82.1
| 72.9
|
0
| false
|
High
| 67
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00032
|
SSA_West
|
West
| true
| false
|
Female
| 46
|
Negative
|
Negative
| 5.4
| 0
|
2+
| false
|
High
| 49
|
Wild_type
| false
|
Positive
| true
|
HR_negative
| false
|
IHC_SAMPLE_00033
|
SSA_West
|
West
| true
| false
|
Female
| 44
|
Positive
|
Negative
| 67.4
| 4.9
|
1+
| false
|
Intermediate
| 24.7
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00034
|
SSA_West
|
West
| true
| false
|
Female
| 41
|
Negative
|
Negative
| 4
| 1.1
|
2+
| false
|
Low
| 17.4
|
Overexpression
| true
|
Negative
| false
|
HR_negative
| false
|
IHC_SAMPLE_00035
|
SSA_West
|
West
| true
| false
|
Female
| 57
|
Positive
|
Negative
| 56.9
| 0.5
|
1+
| false
|
High
| 53.3
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00036
|
SSA_West
|
West
| true
| false
|
Female
| 62
|
Positive
|
Negative
| 86.4
| 0
|
3+
| true
|
Intermediate
| 39.8
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00037
|
SSA_West
|
West
| true
| false
|
Female
| 49
|
Positive
|
Positive
| 69.2
| 72.6
|
1+
| false
|
Low
| 0.6
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00038
|
SSA_West
|
West
| true
| false
|
Female
| 41
|
Negative
|
Positive
| 0
| 90.6
|
1+
| false
|
Low
| 6.8
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00039
|
SSA_West
|
West
| true
| false
|
Female
| 41
|
Positive
|
Negative
| 76.2
| 0
|
0
| false
|
Low
| 13.5
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00040
|
SSA_West
|
West
| true
| false
|
Female
| 57
|
Positive
|
Positive
| 87.4
| 68.1
|
1+
| false
|
High
| 41.5
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00041
|
SSA_West
|
West
| true
| false
|
Female
| 58
|
Negative
|
Negative
| 2
| 0
|
1+
| false
|
Intermediate
| 21
|
Overexpression
| true
|
Negative
| false
|
HR_negative
| true
|
IHC_SAMPLE_00042
|
SSA_West
|
West
| true
| false
|
Female
| 56
|
Positive
|
Negative
| 83.4
| 0
|
0
| false
|
Intermediate
| 28.7
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00043
|
SSA_West
|
West
| true
| false
|
Female
| 43
|
Negative
|
Positive
| 6.3
| 61.7
|
1+
| false
|
Low
| 16.2
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00044
|
SSA_West
|
West
| true
| false
|
Female
| 53
|
Positive
|
Negative
| 94
| 2.6
|
3+
| true
|
Intermediate
| 16.7
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00045
|
SSA_West
|
West
| true
| false
|
Female
| 51
|
Negative
|
Positive
| 0
| 60.5
|
2+
| false
|
Intermediate
| 27.6
|
Wild_type
| false
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00046
|
SSA_West
|
West
| true
| false
|
Female
| 52
|
Positive
|
Negative
| 73.3
| 3.6
|
1+
| false
|
High
| 48.2
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00047
|
SSA_West
|
West
| true
| false
|
Female
| 60
|
Positive
|
Negative
| 94.9
| 3
|
0
| false
|
Intermediate
| 31
|
Wild_type
| false
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00048
|
SSA_West
|
West
| true
| false
|
Female
| 52
|
Positive
|
Positive
| 100
| 63.5
|
1+
| false
|
High
| 46.3
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00049
|
SSA_West
|
West
| true
| false
|
Female
| 57
|
Positive
|
Positive
| 74.7
| 83.2
|
1+
| false
|
Intermediate
| 15.1
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00050
|
SSA_West
|
West
| true
| false
|
Female
| 51
|
Positive
|
Negative
| 68.1
| 4.1
|
0
| false
|
High
| 48.5
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00051
|
SSA_West
|
West
| true
| false
|
Female
| 53
|
Negative
|
Positive
| 4
| 98.9
|
1+
| false
|
Intermediate
| 32
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00052
|
SSA_West
|
West
| true
| false
|
Female
| 57
|
Positive
|
Positive
| 75.6
| 86.6
|
3+
| true
|
High
| 27
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00053
|
SSA_West
|
West
| true
| false
|
Female
| 34
|
Positive
|
Negative
| 72
| 2.1
|
2+
| false
|
Low
| 4.9
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00054
|
SSA_West
|
West
| true
| false
|
Female
| 46
|
Negative
|
Negative
| 1.6
| 0
|
0
| false
|
Intermediate
| 29.9
|
Wild_type
| false
|
Negative
| false
|
HR_negative
| true
|
IHC_SAMPLE_00055
|
SSA_West
|
West
| true
| false
|
Female
| 45
|
Positive
|
Positive
| 61.4
| 83.4
|
3+
| true
|
High
| 52.2
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00056
|
SSA_West
|
West
| true
| false
|
Female
| 43
|
Negative
|
Negative
| 0
| 5
|
3+
| true
|
Low
| 10.8
|
Wild_type
| false
|
Positive
| true
|
HR_negative
| false
|
IHC_SAMPLE_00057
|
SSA_West
|
West
| true
| false
|
Female
| 47
|
Negative
|
Positive
| 1.3
| 89
|
3+
| true
|
Low
| 20
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00058
|
SSA_West
|
West
| true
| false
|
Female
| 66
|
Positive
|
Negative
| 74.5
| 2.4
|
0
| false
|
High
| 49.9
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00059
|
SSA_West
|
West
| true
| false
|
Female
| 40
|
Positive
|
Negative
| 95.5
| 6.8
|
3+
| true
|
Low
| 10.2
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00060
|
SSA_West
|
West
| true
| false
|
Female
| 61
|
Positive
|
Positive
| 84.7
| 75.9
|
0
| false
|
High
| 36.4
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00061
|
SSA_West
|
West
| true
| false
|
Female
| 31
|
Positive
|
Negative
| 62.3
| 1.5
|
0
| false
|
High
| 47.5
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00062
|
SSA_West
|
West
| true
| false
|
Female
| 46
|
Positive
|
Negative
| 78.8
| 6.2
|
2+
| false
|
Low
| 10.5
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00063
|
SSA_West
|
West
| true
| false
|
Male
| 52
|
Positive
|
Positive
| 69.6
| 100
|
3+
| true
|
High
| 28.9
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00064
|
SSA_West
|
West
| true
| false
|
Female
| 56
|
Positive
|
Negative
| 70.6
| 0
|
1+
| false
|
High
| 33
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00065
|
SSA_West
|
West
| true
| false
|
Female
| 58
|
Positive
|
Negative
| 81.9
| 3.8
|
2+
| false
|
Intermediate
| 26.2
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00066
|
SSA_West
|
West
| true
| false
|
Female
| 59
|
Negative
|
Negative
| 3.4
| 6.5
|
0
| false
|
Intermediate
| 21.2
|
Overexpression
| true
|
Positive
| true
|
HR_negative
| true
|
IHC_SAMPLE_00067
|
SSA_West
|
West
| true
| false
|
Female
| 46
|
Positive
|
Positive
| 81.5
| 84.9
|
0
| false
|
Intermediate
| 21.3
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00068
|
SSA_West
|
West
| true
| false
|
Female
| 45
|
Positive
|
Negative
| 100
| 0
|
1+
| false
|
High
| 57.3
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00069
|
SSA_West
|
West
| true
| false
|
Female
| 59
|
Positive
|
Negative
| 86.9
| 2
|
0
| false
|
Intermediate
| 29.2
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00070
|
SSA_West
|
West
| true
| false
|
Female
| 48
|
Negative
|
Negative
| 0.2
| 0.5
|
0
| false
|
High
| 29.8
|
Wild_type
| false
|
Negative
| false
|
HR_negative
| true
|
IHC_SAMPLE_00071
|
SSA_West
|
West
| true
| false
|
Female
| 36
|
Negative
|
Negative
| 0
| 2.3
|
3+
| true
|
High
| 64.2
|
Overexpression
| true
|
Negative
| false
|
HR_negative
| false
|
IHC_SAMPLE_00072
|
SSA_West
|
West
| true
| false
|
Female
| 38
|
Positive
|
Negative
| 99.5
| 0
|
1+
| false
|
High
| 66.1
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00073
|
SSA_West
|
West
| true
| false
|
Female
| 40
|
Positive
|
Positive
| 100
| 93.2
|
2+
| false
|
High
| 54.5
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00074
|
SSA_West
|
West
| true
| false
|
Female
| 55
|
Negative
|
Negative
| 0
| 1.9
|
3+
| true
|
High
| 24.5
|
Overexpression
| true
|
Negative
| false
|
HR_negative
| false
|
IHC_SAMPLE_00075
|
SSA_West
|
West
| true
| false
|
Female
| 52
|
Positive
|
Positive
| 51.9
| 77.4
|
1+
| false
|
High
| 46.4
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00076
|
SSA_West
|
West
| true
| false
|
Female
| 58
|
Positive
|
Positive
| 79.1
| 80.6
|
2+
| false
|
High
| 36.7
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00077
|
SSA_West
|
West
| true
| false
|
Female
| 45
|
Negative
|
Positive
| 2.4
| 84.4
|
3+
| true
|
Intermediate
| 22.4
|
Wild_type
| false
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00078
|
SSA_West
|
West
| true
| false
|
Female
| 52
|
Positive
|
Positive
| 82.5
| 98.6
|
3+
| true
|
High
| 49.8
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00079
|
SSA_West
|
West
| true
| false
|
Female
| 57
|
Positive
|
Negative
| 73.1
| 0
|
3+
| true
|
High
| 34.6
|
Wild_type
| false
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00080
|
SSA_West
|
West
| true
| false
|
Female
| 47
|
Negative
|
Negative
| 4.4
| 0.8
|
1+
| false
|
Intermediate
| 30
|
Wild_type
| false
|
Positive
| true
|
HR_negative
| true
|
IHC_SAMPLE_00081
|
SSA_West
|
West
| true
| false
|
Female
| 55
|
Positive
|
Negative
| 62
| 2.3
|
0
| false
|
High
| 44.6
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00082
|
SSA_West
|
West
| true
| false
|
Female
| 43
|
Positive
|
Negative
| 89
| 7.3
|
1+
| false
|
High
| 59.7
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00083
|
SSA_West
|
West
| true
| false
|
Female
| 46
|
Positive
|
Positive
| 100
| 100
|
0
| false
|
Intermediate
| 34.5
|
Wild_type
| false
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00084
|
SSA_West
|
West
| true
| false
|
Female
| 46
|
Negative
|
Negative
| 1.4
| 1.8
|
3+
| true
|
High
| 55.2
|
Wild_type
| false
|
Negative
| false
|
HR_negative
| false
|
IHC_SAMPLE_00085
|
SSA_West
|
West
| true
| false
|
Female
| 37
|
Positive
|
Positive
| 74.5
| 100
|
0
| false
|
Intermediate
| 31.2
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00086
|
SSA_West
|
West
| true
| false
|
Female
| 55
|
Positive
|
Positive
| 69.8
| 81.2
|
3+
| true
|
Intermediate
| 14
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00087
|
SSA_West
|
West
| true
| false
|
Female
| 45
|
Negative
|
Positive
| 0
| 81.4
|
2+
| false
|
Intermediate
| 27.5
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00088
|
SSA_West
|
West
| true
| false
|
Male
| 50
|
Positive
|
Positive
| 49.1
| 73.2
|
0
| false
|
High
| 53.7
|
Wild_type
| false
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00089
|
SSA_West
|
West
| true
| false
|
Female
| 55
|
Positive
|
Negative
| 90.7
| 0.4
|
1+
| false
|
High
| 60.1
|
Overexpression
| true
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00090
|
SSA_West
|
West
| true
| false
|
Female
| 55
|
Negative
|
Negative
| 1.7
| 0
|
1+
| false
|
Intermediate
| 19.7
|
Overexpression
| true
|
Negative
| false
|
HR_negative
| true
|
IHC_SAMPLE_00091
|
SSA_West
|
West
| true
| false
|
Female
| 57
|
Negative
|
Negative
| 7
| 0
|
0
| false
|
High
| 39.6
|
Overexpression
| true
|
Negative
| false
|
HR_negative
| true
|
IHC_SAMPLE_00092
|
SSA_West
|
West
| true
| false
|
Female
| 49
|
Negative
|
Negative
| 2.7
| 0.3
|
0
| false
|
High
| 49.3
|
Wild_type
| false
|
Positive
| true
|
HR_negative
| true
|
IHC_SAMPLE_00093
|
SSA_West
|
West
| true
| false
|
Female
| 45
|
Positive
|
Negative
| 63.7
| 0
|
0
| false
|
High
| 49.4
|
Wild_type
| false
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00094
|
SSA_West
|
West
| true
| false
|
Female
| 49
|
Negative
|
Positive
| 4.7
| 100
|
1+
| false
|
Intermediate
| 34.9
|
Wild_type
| false
|
Positive
| true
|
HR_positive
| false
|
IHC_SAMPLE_00095
|
SSA_West
|
West
| true
| false
|
Female
| 31
|
Positive
|
Positive
| 81.4
| 95.7
|
0
| false
|
High
| 32.3
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00096
|
SSA_West
|
West
| true
| false
|
Female
| 34
|
Negative
|
Negative
| 0
| 3.1
|
2+
| false
|
Low
| 7.4
|
Overexpression
| true
|
Negative
| false
|
HR_negative
| false
|
IHC_SAMPLE_00097
|
SSA_West
|
West
| true
| false
|
Female
| 35
|
Negative
|
Positive
| 0
| 72.3
|
2+
| false
|
High
| 63.1
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00098
|
SSA_West
|
West
| true
| false
|
Female
| 39
|
Negative
|
Negative
| 0.4
| 0.3
|
1+
| false
|
Intermediate
| 20.4
|
Overexpression
| true
|
Positive
| true
|
HR_negative
| true
|
IHC_SAMPLE_00099
|
SSA_West
|
West
| true
| false
|
Female
| 54
|
Positive
|
Negative
| 70.3
| 0
|
1+
| false
|
Intermediate
| 7
|
Overexpression
| true
|
Negative
| false
|
HR_positive
| false
|
IHC_SAMPLE_00100
|
SSA_West
|
West
| true
| false
|
Female
| 40
|
Negative
|
Negative
| 3.7
| 5.7
|
1+
| false
|
High
| 43.2
|
Wild_type
| false
|
Positive
| true
|
HR_negative
| true
|
SSA Breast Immunohistochemistry (IHC) Profiles Dataset (Women, Multi-ancestry, Synthetic)
Dataset summary
This dataset provides a synthetic cohort of invasive breast cancers in women across multiple ancestry groups, with emphasis on sub-Saharan Africa (SSA) and comparable reference populations.
Each tumor is characterized by a realistic panel of immunohistochemistry (IHC) markers:
- Estrogen receptor (ER) and progesterone receptor (PR) expression
- Binary status (negative/positive)
- Approximate percentage of positive tumor cells (
er_percent_positive,pr_percent_positive).
- HER2 IHC score (
0,1+,2+,3+) and derived HER2-positivity flag. - Ki-67 proliferation index
- Category (
Low,Intermediate,High) - Approximate percentage of positive nuclei.
- Category (
- p53 expression pattern (
Wild_type,Overexpression,Null) and aberrant flag. - EGFR expression (negative/positive), with higher frequencies in TNBC-enriched populations.
Distributions by population are qualitatively anchored to global and SSA-focused literature on IHC-defined subtypes, HER2 testing, Ki-67, p53, and EGFR expression, while ensuring that all records are fully synthetic.
Cohort design
Sample size and populations
Total N: 10,000 synthetic invasive breast cancers.
Populations:
SSA_West: 2,000SSA_East: 2,000SSA_Central: 1,500SSA_Southern: 1,500AAW(African American women): 1,500EUR(European reference): 1,000EAS(East Asian reference): 500
Sex:
- Predominantly
Female, with a small fraction of male breast cancers (~1%).
- Predominantly
Age:
- 18–90 years.
- Older mean age in reference populations (EUR/EAS/AAW) relative to SSA clusters, reflecting registry trends.
IHC markers
ER and PR
Variables:
er_status,pr_status–NegativevsPositive.er_percent_positive,pr_percent_positive– approximate percentage of tumor nuclei positive (0–100).- Derived:
hr_status–HR_positiveif ER or PR is positive, elseHR_negative.
Anchoring:
- Based on ASCO/CAP receptor testing guidelines and large IHC subtype series.
- HR-positive prevalence:
- Lower and more heterogeneous in several SSA cohorts, with higher TNBC fractions.
- Higher HR-positive fractions in EUR/EAS reference cohorts.
- Percentages for positive cases are centered around high values (≈70–90%), while negative cases have values close to 0, respecting the ≥1% positivity cut-off.
HER2
Variables:
her2_ihc_score– one of0,1+,2+,3+.her2_positive–Truefor IHC3+(strong, complete membranous staining).
Anchoring:
- ASCO/CAP HER2 testing guidelines and large HER2 IHC series.
- HER2-positive (3+) rates targeted around 15–25% overall, with modest variation by population.
- Scores
0and1+represent HER2-negative disease;2+represents equivocal/indeterminate by IHC.
Ki-67 proliferation index
Variables:
ki67_category–Low,Intermediate, orHigh.ki67_percent– approximate percentage of Ki-67–positive tumor nuclei.
Anchoring:
- St Gallen consensus recommendations and cohorts stratifying Ki-67 across luminal, HER2+, and TNBC tumors.
- Populations with higher proportions of aggressive or TNBC-like disease (e.g., several SSA and AAW cohorts) have higher fractions of
HighKi-67, while EUR/EAS groups have moreLowandIntermediateKi-67.
p53 expression patterns
Variables:
p53_pattern–Wild_type,Overexpression, orNull.p53_aberrant–Trueif pattern isOverexpressionorNull.
Anchoring:
- p53 IHC–mutation correlation studies in breast cancer.
- Aberrant p53 patterns (overexpression or complete loss) are more frequent in triple-negative/basal-like and high-grade tumors.
- SSA and AAW populations, enriched for aggressive subtypes, are modeled with higher aberrant p53 fractions compared with EUR/EAS.
EGFR expression
Variables:
egfr_status–NegativeorPositive.egfr_positive– boolean indicator.
Anchoring:
- EGFR (HER1) expression series in TNBC, including African and African-descended cohorts.
- EGFR positivity is substantially more frequent in TNBC-like tumors, which are more common in SSA and AAW populations.
- EUR/EAS reference groups have lower EGFR-positive rates overall.
TNBC-like indicator
Derived variable:
tnbc_like–Trueifhr_statusisHR_negativeandher2_ihc_scoreis0or1+.
This is a phenotypic approximation of triple-negative breast cancer based solely on IHC; it is not linked to underlying gene expression data in this dataset.
File and schema
immunohistochemistry_data.parquet / immunohistochemistry_data.csv
Each row represents a synthetic invasive breast cancer with demographics and IHC markers:
Demographics
sample_idpopulationregionis_SSAis_reference_panelsexage
Primary IHC markers
er_status,er_percent_positivepr_status,pr_percent_positiveher2_ihc_score,her2_positiveki67_category,ki67_percentp53_pattern,p53_aberrantegfr_status,egfr_positive
Derived phenotype
hr_status(HR-positive vs HR-negative)tnbc_like(approximate triple-negative phenotype)
Generation
The dataset is generated using:
immunohistochemistry/scripts/generate_immunohistochemistry.py
with configuration in:
immunohistochemistry/configs/immunohistochemistry_config.yaml
and literature inventory in:
immunohistochemistry/docs/LITERATURE_INVENTORY.csv
Key steps:
- Cohort sampling – construct a multi-ancestry invasive breast cancer cohort with age and sex distributions by population.
- Assign ER/PR status – sample
er_statusandpr_statusby population; derive approximate expression percentages using different distributions for positive vs negative tumors. - Assign HER2 score – sample
her2_ihc_score(0/1+/2+/3+) by population; deriveher2_positivefor IHC 3+. - Assign Ki-67 – sample
ki67_categoryby population and generateki67_percentvalues consistent with each category. - Assign p53 and EGFR – sample
p53_patternandegfr_statusby population, with higher aberrant p53 and EGFR positivity in TNBC-enriched settings. - Derive composite markers – compute
hr_statusandtnbc_likebased on ER/PR and HER2.
Validation
Validation is performed with:
immunohistochemistry/scripts/validate_immunohistochemistry.py
and summarized in:
immunohistochemistry/output/validation_report.md
Checks include:
- C01–C02 – Sample size and population counts vs config.
- C03 – ER status distributions by population.
- C04 – PR status distributions by population.
- C05 – HER2 IHC score distributions by population.
- C06 – Ki-67 category distributions by population.
- C07 – p53 pattern distributions by population.
- C08 – EGFR status distributions by population.
- C09 – Missingness in key variables.
The released version is configured to pass all checks within a predefined deviation threshold (10% absolute deviation for categorical distributions), yielding an overall status of PASS.
Intended use
This dataset is intended for:
- Simulation and methods development in breast cancer IHC profiling across ancestries.
- Integrative modeling together with other Electric Sheep Africa synthetic datasets (e.g., pathology & histology, comorbidities, environmental exposures) to construct multi-modal disease models.
- Educational use in teaching IHC interpretation, subtype classification, and population differences in marker profiles.
It is not intended for:
- Estimating exact prevalence of receptor-defined subtypes in any specific registry, country, or hospital.
- Direct clinical decision-making, laboratory quality control, or benchmarking.
All records are synthetic and non-identifiable.
Ethical considerations
- No real patient-level data are used; all tumors are algorithmically simulated.
- Differences in IHC profiles between populations should be interpreted in the context of known registry and molecular epidemiology data, not as deterministic or stigmatizing characteristics.
- Users should avoid over-interpreting subtle differences between populations beyond the resolution supported by the literature.
License
- License: CC BY-NC 4.0.
- Free for non-commercial research, methods development, and education with attribution.
Citation
If you use this dataset, please cite:
Electric Sheep Africa. "SSA Breast Immunohistochemistry (IHC) Profiles Dataset (Women, Multi-ancestry, Synthetic)." Hugging Face Datasets.
and, as appropriate, key literature on ER/PR, HER2, Ki-67, p53, and EGFR IHC in breast cancer, including studies from sub-Saharan Africa and African-descended populations.
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