GLQMW-Related Prognostic Model and Compound Analysis for Bladder Cancer

Qiliang Teng uploaded a research document on figshare in April 2026. The study explores the mechanisms of the traditional Chinese medicine formula Guo Lou Qu Mai Wan (GLQMW) in treating bladder cancer. It uses bioinformatics, systems pharmacology, and molecular docking to build a prognostic model and identify the potential active compound pachymic acid.

Use Cases

• Developing prognostic models for bladder cancer based on the five identified target genes (MAPK12, MAN1B1, EGFR, FABP6, ZAP70).
• Analyzing immune cell infiltration patterns in tumor microenvironments based on the study's findings.
• Screening for potential anti-cancer compounds using drug similarity analysis and molecular docking techniques.
• Validating in vitro and in vivo effects of candidate compounds like pachymic acid on gene expression and tumor progression.

Strengths

• The research is explicitly licensed under CC-BY-4.0, allowing for open sharing and reuse.
• The study identifies five specific genes (MAPK12, MAN1B1, EGFR, FABP6, ZAP70) associated with immune infiltration.
• It validates findings through in vitro experiments (CCK8, western blot) and in vivo models.

Limitations

• The dataset is a 3.0 MB DOCX file; the underlying raw data (e.g., gene expression matrices) is not directly accessible.
• Row count and column-level documentation are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Qiliang Teng.

Collection Method

Bioinformatics analysis, systems pharmacology, molecular docking, and experimental validation (CCK8, western blot).

Time Range

The study's temporal coverage is not specified.

Freshness

Last updated 2026-04-15 04:36:59; freshness should be verified.

Geography

The study's geographic coverage is not specified.