High expression of JAM2 indicates better prognosis and immunotherapy response in breast cancer
Peng, Y.; Qu, C.; Zhang, Y.; Zong, B.; Fu, Y.; Xie, J.; Liu, S.
Show abstract
In our study, multiple databases were used to explore the potential role and underlying mechanism of junctional adhesion molecule B (JAM2) in breast cancer (BRCA). The data of JAM2 was downloaded from The Cancer Cell Line Encyclopedia (CCLE), the Genotype-Tissue Expression (GTEx), The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) databases. Receiver operating characteristic (ROC) curve analysis was performed to analyze the area under the curve (AUC) of JAM2 expression correlated with normal breast tissue and breast cancer tissue. Gene set enrichment analysis (GSEA) was used to identify the potential biological mechanisms of the JAM2. The expression of JAM2 mRNA were downregulated In most tumors, including BRCA, which may be due to the hypermethylated status. The AUCs, which were 0.929 and 0.887 by the logistic regression and random forest algorithms, indicated that JAM2 mRNA expression have good diagnostic value in BRCA. Univariate and multivariate analyses indicated JAM2 as an independent prognostic factor for the overall survival of BRCA patients in both the TCGA cohort (HR = 0.62, P = 0.034) and METABRIC cohort (HR = 0.77, P = 0.001). GSEA showed that multiple tumor pathways were suppressed in the JAM2 high expression group. The expression of JAM2 was most positively related to the epithelial-mesenchymal transition (EMT) score (r = 0.38; P <0.01) by the reverse-phase protein array (RPPA) analysis. Patients with high JAM2 expression may be more sensitive to immunotherapy. 18 chemotherapy drugs that patients in the JAM2 low expression group were more sensitive to were identified. Our results demonstrated the diagnostic and prognostic value of JAM2. Analysis of the molecular mechanisms indicates the potential role of JAM2 as a tumor suppressor, and high JAM2 expression may predict a better immunotherapy response in BRCA.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Bioinformatics analysis of immune-related prognostic genes and immunotherapy in renal clear cell carcinoma 98%
- Identification of cuproptosis and ferroptosis-related subtypes and development of a prognostic signature in colon cancer 97%
- Glyoxalase 1: emerging biomarker and therapeutic target in cervical cancer progression 96%
Similar papers in this journal
- Circulating serum miRNAs predict response to platinum chemotherapy in high-grade serous ovarian cancer 96%
- Comprehensive analysis of potential immunotherapy genomic biomarkers in 1,000 Chinese patients with cancer 96%
- Downregulation of NCL attenuates tumor formation and growth in cervical cancer by targeting the PI3K/AKT pathway 95%
Similar papers in this journal
- ORMDL1 is upregulated and associated with favorable outcome in colorectal cancer 96%
- Enhancing Chemotherapy Response Prediction via Matched Colorectal Tumor-Organoid Gene Expression Analysis and Network-Based Biomarker Selection 96%
- PMAIP1-Mediated Glucose Metabolism and its Impact on the Tumor Microenvironment in Breast Cancer: Integration of Multi-Omics Analysis and Experimental Validation 95%
Similar papers in this journal
- Mapping of single-cell landscape of acral melanoma and analysis of molecular regulatory network of tumor microenvironment 96%
- Tumor Purity-Related Genes for Predicting the Prognosis and Drug Sensitivity of DLBCL Patients 96%
- Single-cell Sequencing Highlights Heterogeneity and Malignant Progression in Actinic Keratosis and Cutaneous Squamous Cell Carcinoma 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.