TPX2-Mediated Autophagy in Lung Adenocarcinoma: Bioinformatic and Functional Analysis

A research document detailing bioinformatic and experimental findings on the role of TPX2 in lung adenocarcinoma. The study integrates TCGA and GTEx data and includes functional validation in cell lines and xenograft models. The document was authored by Mingzheng Jiang and last updated on June 2, 2026.

Use Cases

• Analyze the correlation between TPX2 expression and patient survival metrics based on TCGA/GTEx data mentioned in the description
• Investigate the relationship between TPX2 and cancer stemness markers like SOX2 and c-MYC based on the described bioinformatic screening
• Study the mechanistic link between TPX2 and autophagic flux based on described IP-MS and transcriptome analysis results

Strengths

• Integrates data from multiple public sources, including TCGA and GTEx datasets
• Includes functional validation from in vitro cell experiments (PC9, H1975) and in vivo xenograft models

Limitations

• Dataset is a single 11.6 KB DOCX file, indicating a limited scope of raw data
• Row count and column-level documentation are absent; field semantics must be inferred after download

Provenance

Source

figshare

Collection Method

Integrative bioinformatic analysis of TCGA and GTEx data, coupled with CRISPR-Cas9 experiments, IP-MS, and transcriptome analysis.

Freshness

Last updated 2026-06-02 05:40:47