ArticleFrontiers in bioengineering and biotechnology2021
Identification of Key mRNAs as Prediction Models for Early Metastasis of Pancreatic Cancer Based on LASSO.
Article in Frontiers in bioengineering and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Differentiating walled-off pancreatic necrosis with no documented pancreatitis from mucinous cystic neoplasms: a multicenter LASSO-based nomogram.BMC gastroenterology · 2026Article
- Pan-cancer bioinformatics analysis of hepatic leukemia factor and further validation in colorectal cancer.Translational cancer research · 2024Article
- EMT-related gene risk model establishment for prognosis and drug treatment efficiency prediction in hepatocellular carcinoma.Scientific reports · 2023Article
- Classification prediction of early pulmonary nodes based on weighted gene correlation network analysis and machine learning.Journal of cancer research and clinical oncology · 2023Article
- Multimodal AI for prediction of distant metastasis in carcinoma patients.Frontiers in bioinformatics · 2023Article
- An epithelial-mesenchymal transition-related mRNA signature associated with the prognosis, immune infiltration and therapeutic response of colon adenocarcinoma.Pathology oncology research : POR · 2023Article
- Identifying cancer cell-secreted proteins that activate cancer-associated fibroblasts as prognostic factors for patients with pancreatic cancer.Journal of cellular and molecular medicine · 2022Article
- Overexpression of laminin-5 gamma-2 promotes tumorigenesis of pancreatic ductal adenocarcinoma through EGFR/ERK1/2/AKT/mTOR cascade.Cellular and molecular life sciences : CMLS · 2022Article
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pancreatic cancer is a highly malignant and metastatic tumor of the digestive system. Even after surgical removal of the tumor, most patients are still at risk of metastasis. Therefore, screening for metastatic biomarkers can identify precise therapeutic intervention targets. In this study, we analyzed 96 pancreatic cancer samples from The Cancer Genome Atlas (TCGA) without metastasis or with metastasis after R0 resection. We also retrieved data from metastatic pancreatic cancer cell lines from Gene Expression Omnibus (GEO), as well as collected sequencing data from our own cell lines, BxPC-3 and BxPC-3-M8. Finally, we analyzed the expression of metastasis-related genes in different datasets by the Limma and edgeR packages in R software, and enrichment analysis of differential gene expression was used to gain insight into the mechanism of pancreatic cancer metastasis. Our analysis identified six genes as risk factors for predicting metastatic status by LASSO regression, including
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