ArticleTranslational cancer research2022
Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Plasma Protein Biomarkers to Detect Early Gastric Preneoplasia and Cancer: A Prospective Study.International journal of molecular sciences · 2025Article
- Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning.Frontiers in molecular biosciences · 2025Article
- Whole-exome sequencing reveals novel genomic signatures and potential therapeutic targets during the progression of rectal neuroendocrine neoplasm.Cell death & disease · 2024Article
- Whole-genome bisulfite sequencing identifies stage- and subtype-specific DNA methylation signatures in pancreatic cancer.iScience · 2024Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Colorectal cancer (CRC) is a common malignant tumor leading to poor prognosis and high mortality. Mannosidase alpha class 2A member 1 ( Methods: We obtained gene expression and clinical data of CRC from The Cancer Genome Atlas (TCGA) databases. RNA raw counts data was merged by Python. Batch processing of univariate Cox regression analysis was performed to preliminary identify the genes associated with prognosis. Differentially expressed genes (DEGs) between lymph node metastasis (LNM) patients and non-LNM patients were identified via edgR in Sangerbox tool. Protein-protein interactive (PPI) network was constructed using Search Tool for the Retrieval of Interacting Genes (STRING) and Cytoscape software. Kaplan-Meier (KM) survival of CRC patients was analyzed by Sangerbox tool. Clinicopathologic characteristics of CRC patients were analyzed by SPSS statistics software. Differences in RNA expression levels of genes were validated in our cohort by real-time polymerase chain reaction (RT-PCR). Analyses of Signaling pathways and gene ontology were explored by gene set enrichment analysis (GSEA). Results: We first obtained 4,455 genes associated with the prognosis of CRC, and 998 of these genes were also DEGs in CRC between metastatic CRC tissues and Conclusions: Our study suggested that
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.