Hub Genes in ASCUS: HPV-Positive Cervical Smear Transcriptomics

132 HPV-positive cervical Pap smear specimens were analyzed using integrative transcriptomic profiling, HPV genotyping, and E6/E7 mRNA quantification. The dataset, created by Mohamad Ammar Ayass and last updated in March 2026, maps molecular progression across cytological stages (NILM, ASCUS, LSIL, HSIL). It reveals stage-specific gene expression signatures and pathway crosstalk, highlighting a molecular discontinuity during malignant transformation.

Use Cases

• Identify stage-specific gene expression signatures based on transcriptomic profiles of NILM, ASCUS, LSIL, and HSIL samples.
• Correlate viral oncogene expression (E6/E7 mRNA Ct levels) with lesion severity for improved risk assessment.
• Analyze pathway crosstalk and molecular discontinuity between HSIL and earlier stages for mechanistic insights.
• Validate potential biomarkers like CCND1, SHH, CDK1, and PLK1 mentioned in the stage-specific signatures.

Strengths

• Integrates three data types: transcriptomic profiling, HPV genotyping, and E6/E7 mRNA quantification from 132 clinical specimens.
• Analysis reveals statistically significant association (p=0.003) between E6/E7 mRNA levels and lesion severity.
• Stage-specific molecular profiles are defined, with minimal overlap (OC < 0.07) between HSIL and earlier stages.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 14.5 KB, indicating limited scope and likely summary-level data rather than raw measurements.

Provenance

Source

figshare, author Mohamad Ammar Ayass.

Collection Method

Integrative transcriptomic profiling of clinical cervical Pap smear specimens.

Freshness

Last updated 2026-03-19 17:41:18