ArticleCancer pathogenesis and therapy2025
Whole transcriptome analysis identifies
Article in Cancer pathogenesis and therapy, 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
6 authors.
Funding
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Abstract
Background: Colorectal cancer (CRC) is a complex, heterogeneous disease characterized by frequent relapses and metastasis. Previous studies have reported that the invasion and progression of CRC in several cases can be controlled by targeting fusion genes. This study aimed to screen for potent fusion transcripts as potential molecular biomarkers and therapeutic targets for metastatic CRC (mCRC) using an Methods: RNA sequencing (RNA-seq) data from 18 patients with primary CRC and matched normal and mCRC samples were derived from the same patient set. Novel fusion transcripts were screened using the Kallisto and Pizzly software, followed by Gene Ontology (GO), pathway analysis, transcription factor enrichment, and survival for functional enrichment analysis. Furthermore, the fusion transcripts' utility as biomarkers was evaluated using a pan-cancer analysis. Results: In total, 32 fusion genes unique to mCRC were identified. Hub gene analysis identified 17 novel fusion transcripts, and GO analysis revealed that these genes were enriched in different biological and molecular functions. Pathways significantly correlated with CRC included the complement and coagulation cascades, ferroptosis, interleukin-17 ( Conclusions:
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