Identification of Candidate Biomarker TMSB15A and Its Prognostic Value in Breast Cancer

王, 颜

doi:10.12677/hjdm.2022.121001

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…This study identified a total of 337 DEGs between high-TMB and low-TMB cases of breast cancer (193 with high expression in the high-TMB group and 144 with high expression in the low-TMB group), of which 54 were related to immune function, including seven that were of prognosis predictive value. The predictive utility of these seven genes was validated against TIMER 2.0 and the GEPIA database, confirming that FABP7 , PTGER3 , CXCL14 , and TMSB15A were all associated with higher or lower OS, consistent with previous studies ( 38 - 41 ). To investigate the MFs of these immunity-associated DEGs, we performed functional enrichment analysis of GO terms and KEGG pathways, which showed that they mainly played roles in cellular chemotaxis, granulocyte migration and humoral immunity, extracellular matrix and receptor ligand activity, and binding to G protein-coupled receptors; these results are consistent with previous reports ( 42 ).…”

Section: Discussionsupporting

confidence: 83%

Tumour mutation burden and infiltrating immune cell subtypes influenced the breast cancer prognosis

Li,

Liu,

Han

et al. 2024

Transl Cancer Res

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Background Most of its issues are still undecided on the relationship between tumour mutation burden (TMB) and immune-related genes in the breast cancer. This study explores their relationship based on gene mutation and transcription data in The Cancer Genome Atlas (TCGA) database, and the effects of immune cells in TMB and tumour microenvironments on prognosis of breast cancer patients. Methods Cases were divided into low-TMB and high-TMB subgroups. Differentially expressed immune-related genes were identified in different TMB subgroups, and patient prognosis was predicted by gene function enrichment analysis, invasive immune cells and different clinical pathological features were compared among different TMB subgroups. Results A total of 986 mutation data from breast cancer patients were obtained. Compared with low-TMB group, the survival period of high-TMB group was relatively longer. A total of 337 differential expression genes were identified in this study. Of these genes, seven differentially expressed immune-related genes were associated with prognosis. In the high-TMB group, activated CD4+ memory T cells and other cells had high expression, the expression ratio of memory B cells and other cells in low-TMB group was high. Conclusions TMB-related immunological infiltration characteristics showed meaningful value for prognosis prediction for breast cancer patients. Differentially expressed immune-related genes in TMB subgroups provide important information on the survival prediction.

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Section: Discussionsupporting

confidence: 83%