Comprehensive Multi‐Omics Analysis Reveals NPC2 and ITGAV Genes as Potential Prognostic Biomarkers in Gastrointestinal Cancers DOI Creative Commons
Moein Piroozkhah, Mohammad Reza Zabihi, Pooya Jalali

и другие.

Cancer Reports, Год журнала: 2024, Номер 7(12)

Опубликована: Дек. 1, 2024

ABSTRACT Background Gastrointestinal cancers (GICs) continue to dominate in terms of both incidence and mortality worldwide. Due the absence efficient accurate prognostic biomarkers, prognosis treatment outcomes many GICs are poor. Identifying biomarkers predict individual clinical efficiently is a fundamental challenge oncology. Although several have been continually discovered, their predictive accuracy relatively modest, therapeutic use restricted. In light this, discovery reliable for predicting outcome GIC urgently required. Materials Methods We evaluated Human Protein Atlas dataset identified NPC Intracellular Cholesterol Transporter 2 ( NPC2 ) Integrin Subunit Alpha V ITGAV as probable poor genes these cancers. addition, we used GEPIA2, cBioPortal, UALCAN, LinkedOmics, STRING, Enrichr, TISDB, TIMER2.0, hTFTarget, miRTarBase, circBank, drug–gene interaction database databases conduct comprehensive systematic analysis genes. Result Our results found high expression levels most GICs. The aforementioned gene expressions were linked clinicopathological characteristics well poorer LIHC STAD. common alteration type was amplification, deep deletion. Significant promotor hypermethylation also seen PAAD COAD, respectively. For immunologic significance, positively correlated with abundance tumor‐infiltrating lymphocytes macrophages. Furthermore, various immunomodulators showed strong correlations There currently 10 small molecule drugs targeting . Conclusion Consequently, our bioinformatics that might be potential determine related immune infiltration.

Язык: Английский

FadA antigen of Fusobacterium nucleatum: implications for ceRNA network in colorectal cancer and adenomatous polyps progression DOI Creative Commons
Sama Rezasoltani, Elahe Shams, Moein Piroozkhah

и другие.

Discover Oncology, Год журнала: 2025, Номер 16(1)

Опубликована: Янв. 18, 2025

Colorectal cancer (CRC) is the second most common cause of cancer-related deaths globally. The gut microbiota, along with adenomatous polyps (AP), has emerged as a plausible contributor to CRC progression. This study aimed scrutinize impact FadA antigen derived from Fusobacterium nucleatum on expression levels ANXA2 ceRNA network and assess its relevance advancement. functions LINC00460 in have been partially clarified. According our previous identify shared MicroRNA-Interaction-Targets (MITs) between LINC00460, TargetScanHuman (V7.2) miRDB databases used respectively. Bioinformatics Evolutionary Genomics web tool was employed intersect sets microRNAs their targets. Then, constructed. Subsequently, mRNA, miRNA, lncRNA were examined intestinal biopsy specimens 30 healthy controls, Adenoma patients, cases stage I using qRT-PCR. Elevated FadA, ANXA2, hsa-let-7a-2, observed specimens, followed by AP cases, comparison samples normal individuals. Application Spearman test revealed strong significant correlation (rS = 0.9311, p < 0.0001). Also, functional analysis progression through JAK-STAT Hippo signaling pathways. appears potentiate inducing upregulation consequently leading hyperexpression network.

Язык: Английский

Процитировано

0
Identification of EARS2 as a Potential Biomarker with Diagnostic, Prognostic, and Therapeutic Implications in Colorectal Cancer DOI Creative Commons
Lingling Wang, Xuemei Deng, Jia-Xi Tang

и другие.

ImmunoTargets and Therapy, Год журнала: 2025, Номер Volume 14, С. 65 - 85

Опубликована: Янв. 1, 2025

Colorectal cancer (CRC) is a prevalent malignancy, and lactate metabolism significantly influences tumorigenesis progression. This study identifies key genes associated with lactic acid explore their impact on CRC. utilized data from The Cancer Genome Atlas, Gene Expression Omnibus, other public databases, our institutional resources. Machine learning identified metabolism-related genes. Receiver Operating Characteristic analysis, Kaplan-Meier the construction of nomogram model were conducted to assess diagnostic prognostic significance gene EARS2. EARS2 expression in colorectal tissue was validated using both publicly available external samples institution. To investigate mechanisms underlying CRC, Ontology, Kyoto Encyclopedia Genes Genomes, Set Enrichment Analysis, Protein-Protein Interaction analyses performed, alongside miRNA-mRNA interaction networks. Additionally, relationships between immune cell infiltration, as well responses drug therapy, examined. Following knockdown EARS2, we assessed proliferation, migration capabilities, apoptosis. Statistical R GraphPad Prism software. ERAS2 overexpressed CRC tissues compared normal adenoma tissues, higher levels correlating aberrant poorer patient prognosis. involved pathways such neuroactive ligand-receptor interactions, protein digestion, cholesterol metabolism, it infiltration treatment. inhibited migration, invasion cells while enhancing Elevated abnormal altered therapeutic sensitivity, survival outcomes correlation suggests that may serve potential target for diagnosis, prognosis, intervention

Язык: Английский

Процитировано

0
Establishment of fracture blister model and analysis of plasma protein markers in rats DOI Creative Commons
Xin Hu, Peiyuan Wang, Tao Wang

и другие.

Frontiers in Immunology, Год журнала: 2025, Номер 16

Опубликована: Апрель 14, 2025

Purpose Fracture blister (FB) is a frequent complication in orthopedic surgery. The primary objective of this study was to refine the animal model FB and identify plasma protein markers associated with its development progression. Methods In study, Sprague-Dawley (SD) rats were used as experimental subjects. Various pressures compression durations applied lower limbs fractures compare differential expression patterns (DEPs) between pressure-time combination that resulted highest incidence blisters other groups. Subsequently, we investigated variations DEPs across different time intervals established model. Results Our findings indicate following limb fracture SD rats, formation observed under conditions 450 mmHg pressure 9 hours (46%, 7/15). group, levels CD44 B2M significantly elevated, while those Activin R2A reduced. Furthermore, temporal profile group found CXCL16 ROBO1 reached peak secretion 48 post-injury, followed by subsequent decline. Additionally, IL-2RG IL-7 continued increase after injury. Conclusions decrease might be potential influencing factors for higher blisters. their end molding, IL-2 RG R which will provide new direction occurrence mechanism

Язык: Английский

Процитировано

0
The role of mir-7-5p in cancer: function, prognosis, diagnosis, and therapeutic implications DOI

Zohreh Mirzaei,

Tahereh Barati, Amir Ebrahimi

и другие.

Molecular Biology Reports, Год журнала: 2024, Номер 52(1)

Опубликована: Ноя. 25, 2024

Язык: Английский

Процитировано

3
Comprehensive Multi‐Omics Analysis Reveals NPC2 and ITGAV Genes as Potential Prognostic Biomarkers in Gastrointestinal Cancers DOI Creative Commons
Moein Piroozkhah, Mohammad Reza Zabihi, Pooya Jalali

и другие.

Cancer Reports, Год журнала: 2024, Номер 7(12)

Опубликована: Дек. 1, 2024

ABSTRACT Background Gastrointestinal cancers (GICs) continue to dominate in terms of both incidence and mortality worldwide. Due the absence efficient accurate prognostic biomarkers, prognosis treatment outcomes many GICs are poor. Identifying biomarkers predict individual clinical efficiently is a fundamental challenge oncology. Although several have been continually discovered, their predictive accuracy relatively modest, therapeutic use restricted. In light this, discovery reliable for predicting outcome GIC urgently required. Materials Methods We evaluated Human Protein Atlas dataset identified NPC Intracellular Cholesterol Transporter 2 ( NPC2 ) Integrin Subunit Alpha V ITGAV as probable poor genes these cancers. addition, we used GEPIA2, cBioPortal, UALCAN, LinkedOmics, STRING, Enrichr, TISDB, TIMER2.0, hTFTarget, miRTarBase, circBank, drug–gene interaction database databases conduct comprehensive systematic analysis genes. Result Our results found high expression levels most GICs. The aforementioned gene expressions were linked clinicopathological characteristics well poorer LIHC STAD. common alteration type was amplification, deep deletion. Significant promotor hypermethylation also seen PAAD COAD, respectively. For immunologic significance, positively correlated with abundance tumor‐infiltrating lymphocytes macrophages. Furthermore, various immunomodulators showed strong correlations There currently 10 small molecule drugs targeting . Conclusion Consequently, our bioinformatics that might be potential determine related immune infiltration.

Язык: Английский

Процитировано

0