pACC and pAMPK Immunohistochemical Quantification in Recurrent meningioma treated with bevacizumab or with hydroxyurea — Digital Pathology Dataset
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This dataset contains quantitative immunohistochemical (IHC) data obtained from tumor sections of patients with recurrent meningioma and treated with bevacizumab or hydroxyurea. The dataset was generated as part of a retrospective real-world study. All samples were analyzed using standardized digital pathology workflows with the ImageScope software (v.12.4.2.5010, Leica Biosystems). No whole-slide images are included; only the numerical outputs of the automated IHC quantification are provided. The dataset supports investigation of the expression patterns of two markers of the LKB1/AMP-activated protein kinase (AMPK) metabolic pathway: · pACC (phospho-Acetyl-CoA Carboxylase, Ser79) — a canonical downstream target of AMPK, whose phosphorylation reflects AMPK-mediated inhibition of fatty acid synthesis and metabolic adaptation to energy stress. · pAMPK (phospho-AMP-activated protein kinase, Thr172) — a marker of AMPK activation along the LKB1/AMPK signaling axis. File Structure The dataset is organized in a single Excel workbook containing four sheets, stratified by treatment arm and marker: Sheet 1: pACC, bevacizumab Sheet 2: pACC, hydroxyurea Sheet 3: pAMPK, bevacizumab Sheet 4: pAMPK, hydroxyurea Variables Each row corresponds to one tumor sample. The following variables are reported for each sample in each sheet: Patient ID: Anonymized patient identifier (progressive code), Categorical Drug: bevacizumab or hydroxyurea, Categorical % 0+: Percentage of cells classified as negative by ImageScope, Continuous (%) % 1+: Percentage of cells classified as weakly positive, Continuous (%) % 2+: Percentage of cells classified as moderately positive, Continuous (%) % 3+: Percentage of cells classified as strongly positive, Continuous (%) Sum % 2+ 3+: Sum of moderately and strongly positive cells (% 2+ + % 3+), Continuous (%) H-score: Composite IHC score (see formula below), Continuous (0–300) H-score Calculation The H-score is calculated as: H-score = (1 x %1+) + (2 x %2+) + (3 x %3+) with a theoretical range of 0 to 300. This score integrates both the proportion and the staining intensity of positive cells into a single composite index. Positivity Threshold The Sum % 2+ 3+ variable represents the fraction of tumor cells exhibiting moderate or strong IHC positivity. Digital Pathology Workflow IHC staining was performed on formalin-fixed paraffin-embedded (FFPE) tumor sections. Automated IHC quantification was performed using ImageScope software (v.12.4.2.5010, Leica Biosystems) with a validated algorithm for 4-tier chromogenic scoring (0+/1+/2+/3+). The same protocol and algorithm parameters were applied uniformly across all samples and both treatment arms. Data Privacy and Anonymization All samples have been fully anonymized prior to deposition. Patient identifiers have been replaced by a progressive numeric code. No date of birth, hospital record number, or direct identifiers are present. The dataset complies with applicable data protection regulations (GDPR). Funding Funded by the European Union – Next Generation EU – NRRP M6C2 – Investment 2.1 Enhancement and strengthening of biomedical research in the NHS. Project PNRR-POC-2022-12375884.



