Palestinian Breast Cancer Patient Data with Hormone Receptor and IGF Biomarkers
by Heba Mohammed Arafat·Updated 4d ago
74.5 KB1files
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Description
112 newly diagnosed breast cancer patients from a cross-sectional study in the Gaza Strip. The dataset includes structured interview data, laboratory analyses for IGF-1 and IGFBP-3 levels, genetic data for the IGFBP-3 A-202C polymorphism, and immunohistochemical assessments for ER, PR, and HER-2 status. Heba Mohammed Arafat published the dataset on figshare in 2026.
Use Cases
Investigate associations between serum IGF-1 levels and hormone receptor status (ER/PR) based on the described positive correlation.
Analyze the relationship between the IGFBP-3 A-202C genotype and progesterone receptor (PR) positivity based on the significant association reported.
Model breast cancer risk or progression based on combined genetic, biochemical, and hormone receptor status features mentioned in the description.
Study the prevalence of hormone receptor positivity (ER+, PR+, HER-2-) in a specific patient cohort based on the reported percentages.
Strengths
Includes data from 112 newly diagnosed, histopathologically confirmed breast cancer patients.
Integrates multiple data types: structured interviews, biochemical assays, genetic polymorphism data, and immunohistochemical assessments.
Reports specific prevalence statistics: 87.5% ER positive, 84.8% PR positive, and 75.9% HER-2 negative among patients.
Limitations
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
The dataset is very small at 74.5 KB, indicating limited scope.
Provenance
Source
Heba Mohammed Arafat via figshare.
Collection Method
Cross-sectional study involving structured interviews and laboratory analyses (biochemical, genetic, immunohistochemical).
Freshness
Last updated 2026-06-01 17:31:20; freshness should be verified.
Geography
Likely focuses on Palestinian women, specifically mentioned in the context of the Gaza Strip.
License is CC-BY-4.0. Data is stored in XLS (Excel) format.