ArticleTranslational cancer research2025
RNA sequencing and bioinformatics analysis have identified
Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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Authors and funding
7 authors.
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Abstract
Background: Cervical cancer (CC) is a widely recognized malignant tumor that imposes a substantial economic burden on the global healthcare system. Currently, treatment options for patients with advanced metastatic and recurrent CC are suboptimal. Therefore, further in-depth research into the characteristics of CC occurrence and metastasis may provide additional reference indicators for patient diagnosis, treatment, and prognosis. This study aims to screen differential genes in CC via transcriptome sequencing and bioinformatics analysis, verify the role of microtubule-associated serine/threonine kinase 1 ( Methods: In this study, we performed transcriptome sequencing on three cases of CC and adjacent normal tissues to understand the differences in gene expression profiles between cancerous and adjacent tissues. Bioinformatics methods were used to functionally enrich the differentially expressed genes, and these data were further analyzed to screen for the differential gene Results: Transcriptome sequencing revealed that 40 genes were significantly upregulated, and 62 genes were significantly downregulated in CC tissues. Gene Ontology (GO) analysis indicated that the differentially expressed genes (DEGs) were predominantly related to the extracellular matrix, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that these genes were mainly enriched in pathways associated with glutamatergic synapses, axon guidance, and cancer. Combining The Cancer Genome Atlas (TCGA) sequencing results, five highly expressed genes ( Conclusions: This study contributes to a deeper understanding of the role of
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