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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