Jul 2026· Clinical and Translational Oncology· 0 citations· 35 references
Medicine
TL;DR
CCNE1 overexpression characterises a clinically aggressive subset of breast cancers, particularly TNBC, and targeting mTORC1 may represent a promising therapeutic approach in CCNE1-high, TP53-mutated, and RB1-deficient tumours, supporting the clinical utility of CCNE1 in patient stratification and targeted therapy.
CDC20B may contribute to tumor progression in a context-dependent manner, with its prognostic impact varying across cancer types, and promoter hypomethylation emerges as a potential epigenetic driver of overexpression.
Hong-Rong Wu, Liang-Li Hong· Current Medicinal Chemistry· 0 citations
OBJECTIVE
To investigate FUBP1 expression, its prognostic value, impact on the tumor microenvironment (TME), and drug sensitivity in colorectal cancer (CRC), and to explore its potential underlying mechanisms.
METHODS
Using data from The Cancer Genome Atlas (TCGA), we analyzed FUBP1 expression in CRC, evaluated its p...
Zhen-Xiang Li, Yan-Fang Zhao, Yan-Li Si et al.· Cancer Treatment and Researc...· 0 citations
NOC4L shows promise as a dual-action target, functioning both as a prognostic biomarker and as a potential immunotherapeutic target, and is associated with overall survival in 20 cancer types, suggesting its potential as an independent prognostic marker.
Hai Bai, Wan-Qing Xu, Guo-Zheng Wei et al.· Applied Biochemistry and Bio...· 0 citations
GNG12 was found to be broadly downregulated in TNBC and associated with suppression of malignant cellular phenotypes; however, its clinical significance and mechanistic relationship with PI3K/AKT signaling require further validation in larger cohorts and additional experimental models.
Biao-Feng Shan, Le Zhao, Tao Hu et al.· Scientific Reports· 0 citations
Elevated TPD52 expression was associated with longer overall survival in specific subgroups, including the basal-like subtype, invasive lobular carcinoma, and N0/N1 stages, and a random forest-based diagnostic model demonstrated high accuracy across multiple datasets.
J. Yu, Z. Zhu, R. Deng et al.· medRxiv· 0 citations
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