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A Novel Piperine Derivative Inhibits Colorectal Cancer Progression by Modulating EMT Signaling Pathways: An Integrated Transcriptomic and Machine Learning Analysis

GSE275190 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2024/08/23 Platform GPL30209
Summary
Colorectal cancer (CRC) is one of the most prevalent and lethal malignancies worldwide. The epithelial-mesenchymal transition (EMT) plays a critical role in tumor invasion and metastasis. Piperine, a natural alkaloid, has demonstrated antitumor activity; however, its low bioavailability limits clinical application. HJJ_3_5, a novel piperine derivative synthesized and validated by our research group, exhibits potent antitumor effects against colorectal cancer cells. In addition to its strong cytotoxicity, HJJ_3_5 disrupts key metastatic processes, including DNA replication, cell migration, invasion, and adhesion, showcasing its multifaceted mechanism of action. In vivo, HJJ_3_5 shows significant efficacy in the CAM model, effectively inhibiting tumor growth and angiogenesis, underscoring its potential as a powerful anti-cancer agent. At the molecular level, comprehensive transcriptomic analysis reveals that HJJ_3_5 significantly downregulates the EMT pathway. Notably, machine learning algorithms identify six core EMT-related genes (COL12A1, PJA2, VCAN, MEF2C, DPYD, and DDR2) as pivotal drivers of cancer progression, with their expression strongly associated with poor clinical outcomes. Single-cell RNA sequencing further reveals that these genes are predominantly expressed in fibroblasts and myofibroblasts, key players in the EMT process and metastasis. These findings position HJJ_3_5 as a promising therapeutic candidate, offering a targeted and potent approach to halting the relentless progression of colorectal cancer.
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Direct links to NCBI, no account and no request form: the whole study as GSE275190_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1149760 and SRA study SRP527349. Searching any of these in the dataset finder brings you back here.

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