UPP1 and AHSA1 as emerging biomarkers and targets in pancreatic cancer: A proteomic approach
The specific protein targets involved in pancreatic cancer (PC) pathogenesis and its varying levels of differentiation remain incompletely understood. Advanced proteomic methodologies provide a powerful means of identifying key regulatory proteins and signaling pathways central to cancer progressio...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina
2025-05-01
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| Series: | Biomolecules & Biomedicine |
| Subjects: | |
| Online Access: | http://www.bjbms.org/ojs/index.php/bjbms/article/view/11958 |
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| Summary: | The specific protein targets involved in pancreatic cancer (PC) pathogenesis and its varying levels of differentiation remain incompletely understood. Advanced proteomic methodologies provide a powerful means of identifying key regulatory proteins and signaling pathways central to cancer progression. In this study, proteomic analyses were performed on PC tissue samples of different differentiation grades, along with adjacent non-cancerous (para-PC) tissues. Bioinformatics techniques were used to identify differentially expressed proteins (DEPs) and their associated pathways. Key target proteins were validated using the GEPIA database, reverse transcription-quantitative polymerase chain reaction (RT-qPCR), western blotting, immunohistochemistry (IHC), and immunofluorescence (IF). A total of 431 DEPs were identified between PC and para-PC tissues, while 470 DEPs distinguished poorly differentiated from moderately differentiated PCs. Functional enrichment analysis revealed that these DEPs participate in various biological processes and signaling pathways. Five DEPs were common to both comparisons, with UPP1, LACTB, and AHSA1 showing particularly notable differences. UPP1 and AHSA1 were significantly upregulated in PC tissues relative to adjacent tissues and exhibited even higher expression in poorly differentiated PCs compared to moderately differentiated ones. These findings were consistently supported by GEPIA, RT-qPCR, western blotting, IHC, and IF analyses. This study identifies UPP1 and AHSA1 as key proteins linked to PC differentiation and progression, highlighting their potential as diagnostic markers and therapeutic targets. These insights enhance our understanding of the molecular mechanisms underlying PC and open new avenues for precision treatment strategies.
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| ISSN: | 2831-0896 2831-090X |