KLHDC7B (Kelch Domain Containing 7B)

RNA-seq analysis identified 196 upregulated DEGs (such as GPAT2, MST1R, ACAN, SLCO4A1, and CHRNA3) and 887 downregulated DEGs (such as KLHDC7B, TRIM58, CST1, FBLL1, INHBE, and TMEM132D) shared between FB-E6/E7-HPV80 and FB-E6/E7-HPV16. Enriched pathways included p53, TNF, IL-17, apoptosis, cell cycle, etc. These findings suggest that E6/E7-HPV80 exhibits transforming capabilities that could play an important role in cervical carcinogenesis.

Prognosis analysis showed that pivotal genes had adverse effects on survival over time. We built a precise prediction model based on risk scores and proved the significance of PRGs in BC TME and medicine sensitivity regulation, providing key perception for subsequent molecular mechanism studies and contributing to more personalized treatment decisions in clinical practice.

IL-16, CCN2, and EFNB3 were specifically regulated by DGKG-Δ exon13. Our study found that hypoxia-induced alternative splicing transcript DGKG-Δ exon13 promotes GBM proliferation and infiltration, which might provide a new potential target for the clinical treatment and diagnosis of GBM.

The current research introduces a novel model for BRCA prognosis analysis but also provides a fresh perspective on BRCA treatment strategies.

We identified 10 M2-like TAM-related prognostic signature genes for BRCA, providing potential therapeutic targets for the treatment of the cancer.

Then, we validated this result in an independent cohort and identified it as an effective tool for diagnosing and distinguishing high-grade and low-grade BLCA. Finally, we studied the role and mechanism of KLHDC7B in BLCA at the cellular level, providing a functional basis for its expression as a novel laboratory diagnostic biomarker for BLCA exosomal mRNA, which has important theoretical and clinical significance.

Here, we revealed 3 new molecular subtypes based on prognosis-related genes for BRCA NAC and developed a prognostic risk model. It has the potential to aid in the selection of appropriate individualized treatment and the prediction of patient prognosis.