LRP10 (LDL Receptor Related Protein 10)

Key transcription factors like NOP58, MED8 play pivotal roles in hypoxia-induced HCC invasion and metastasis, and a predictive model based on these factors forecasts HCC survival. Our findings provide novel molecular markers and therapeutic targets for HCC, highlighting the importance of considering the hypoxia TME in diagnostic and treatment strategies.

BML and IVL exhibit distinct gene mutations in tumor development, with certain shared mutations.

Robot-assisted radical prostatectomy is the preferred method as it provides better functional outcomes. The use of the nerve-sparing technique significantly improved outcomes in terms of urinary continence and also resulted in fewer patients requiring urological pads.

This study presented the first CAF related prognostic model (CAFscore) in GBM, and demonstrated that the model could effectively guide patient prognosis and potentially inform personalized treatment strategies. The core gene of CAFscore, LRP10, was significantly overexpressed in GBM and might play a pivotal role in regulating CAF infiltration as well as tumor invasion and metastasis, highlighting LRP10 as a promising therapeutic target for GBM management.

This phenotype depends on dense tumor infiltration of CD8 T cells, which display increased memory cell characteristics, reduced terminal exhaustion, and augmented responses to immune checkpoint inhibition. Here, we present Lrp10 as a new negative regulator of CD8 T-cell homeostasis and a host factor that controls tumor resistance with implications for immunotherapy.

The results suggest that piRPGs might serve a significant role in AAA. PPP1R12B, COL1A1, and LRP10 had potential as diagnostic-specific biomarkers for AAA and performed better in XGboost model. The expression and localization of PPP1R12B and COL1A1 were experimentally verified. Besides, downregulation of PPP1R12B caused by m6A might contribute to the formation of AAA.

For this purpose, ΔCt method, GeNorm (v3.5), BestKeeper (v1.0), NormFinder (v.20.0), and RefFinder software were employed to assess the overall trends of our analyses. LRP10, PGK1, and RPLP0 were identified as the best IRGs to be used for gene expression studies in human PPATs, specifically when considering PCa and OB conditions.