HPV-Positive Cervical Pap Smear Transcriptomics for 132 Specimens

Integrative transcriptomic profiling of 132 HPV-positive cervical Pap Smear specimens across four cytological categories (NILM, ASCUS, LSIL, HSIL). The dataset combines HPV genotyping and E6/E7 mRNA quantification to map molecular progression, revealing stage-specific gene expression signatures. It was authored by Mohamad Ammar Ayass and last updated on 2026-03-19.

Use Cases

• Identify stage-specific molecular signatures based on transcriptomic profiles across NILM, ASCUS, LSIL, and HSIL categories.
• Validate E6/E7 mRNA expression levels as a biomarker for lesion severity, as indicated by the significant association (p=0.003) described.
• Model pathway crosstalk and molecular discontinuity during malignant transformation, leveraging the minimal overlap (OC < 0.07) between HSIL and earlier stages.
• Develop classifiers to distinguish transient HPV infections from high-risk lesions likely to progress, based on the described 'stealth infection' and oncogenic driver profiles.

Strengths

• Includes 132 HPV-positive cervical Pap Smear specimens, providing a basis for comparative analysis.
• Integrates multiple data layers: transcriptomic profiling, HPV genotyping, and E6/E7 mRNA quantification.
• Stage-specific molecular signatures are described, such as upregulated protein synthesis in NILM and cell cycle hyperactivation in HSIL.
• A significant statistical association (X²=24.407, p=0.003) is reported between E6/E7 mRNA levels and lesion severity.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is small at 9.0 KB, indicating limited scope and likely a summary or feature list rather than raw expression data.
• Geographic and demographic coverage of the 132 specimens is unknown, which may limit generalizability.

Provenance

Source

figshare, authored by Mohamad Ammar Ayass.

Collection Method

Integrative transcriptomic profiling of clinical Pap Smear specimens, combining HPV genotyping and E6/E7 mRNA quantification.

Freshness

Last updated 2026-03-19 17:41:32.