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Background: Hepatocellular carcinoma (HCC)-a predominant type of primary liver cancer-poses a significant global health threat with high incidence and mortality rates. Despite advances in treatment modalities, including surgery, chemotherapy, and immunotherapy, HCC exhibits high relapse rates and low long-term survival, necessitating the identification of novel prognostic markers and treatment targets. This study aims to develop a prognostic model centered on the PDZ domain by identifying key PDZ proteins associated with HCC through bioinformatics analysis of large-scale public datasets, in order to improve prognosis prediction and inform therapeutic strategies.
Methods: Differentially expressed PDZ proteins (DEPs) in HCC were identified through RNA sequencing (RNA-seq) analysis from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) databases. Cox regression and random survival forest (RSF) modeling were employed to construct a prognostic model and evaluate the prognostic potential of DEPs. Subsequently, the correlation of DEP-related risk scores with immune cell infiltration and genetic variations was analyzed separately. Quantitative polymerase chain reaction (qPCR) was conducted to validate the expression of key DEPs in HCC tissues.
Results: A prognostic model for HCC constructed using nine key DEPs demonstrated reliable predictive performance across 1-, 3-, and 5-year survival rates. DEP-related risk scores were significantly associated with immune cell infiltration, with high-risk groups exhibiting an increase in pro-tumor immune cells and a decrease in anti-tumor immune cells. Genetic variations, including single nucleotide polymorphisms (SNPs) and copy number variations (CNVs), also differed between high- and low-risk groups. qPCR validation confirmed that the expression of SNX27, DLG5, PARD3, and RHPN1 was significantly upregulated in HCC tissues.
Conclusions: PDZ proteins may serve as prognostic markers and therapeutic targets in HCC. DEP-related risk scores offer insights into immune infiltration patterns and treatment responsiveness, providing a foundation for future HCC research and development of precision medicine.
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http://dx.doi.org/10.21037/jgo-2024-1018 | DOI Listing |
Front Immunol
September 2025
Department of Medicine, Division of Hematology, Bioclinicum and Center for Molecular Medicine, Karolinska Institute and Karolinska University Hospital Solna, Stockholm, Sweden.
Background: Metabolic reprogramming is an important hallmark of cervical cancer (CC), and extensive studies have provided important information for translational and clinical oncology. Here we sought to determine metabolic association with molecular aberrations, telomere maintenance and outcomes in CC.
Methods: RNA sequencing data from TCGA cohort of CC was analyzed for their metabolic gene expression profile and consensus clustering was then performed to classify tumors into different groups/subtypes.
J Hepatocell Carcinoma
September 2025
Department of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Objective: Anoikis is an anchorage-dependent programmed cell death implicated in multiple pathological processes of cancers; however, the prognostic value of anoikis-related genes (ANRGs) in hepatocellular carcinoma (HCC) remains unclear. Our study aims to develop an ANRGs-based prediction model to improve prognostic assessment in HCC patients.
Methods: The RNA-seq profile was performed to estimate the expression of ANRGs in HCC patients.
Int J Chron Obstruct Pulmon Dis
September 2025
The First Clinical Medical College of Lanzhou University, Lanzhou, People's Republic of China.
Chronic Obstructive Pulmonary Disease (COPD) is a prevalent chronic respiratory disorder characterized by airway inflammation and irreversible airflow limitation. Its marked heterogeneity and complexity pose significant challenges to traditional clinical assessments in terms of prognostic prediction and personalized management. In recent years, the exploration of biomarkers has opened new avenues for the precise evaluation of COPD, particularly through multi-biomarker prediction models and integrative multimodal data strategies, which have substantially improved the accuracy and reliability of prognostic assessments.
View Article and Find Full Text PDFBreast J
September 2025
University of Hawai'i Cancer Center, Honolulu, Hawaii, USA.
The Oncotype DX test is standardly used for patients with early-stage, hormone-receptor-positive, HER2-negative breast cancers to determine the benefit from chemotherapy and the likelihood of distant recurrence. The relationship between Oncotype DX recurrence scores and race/ethnicity is still being studied. This retrospective study aims to evaluate the relationship between Oncotype DX recurrence scores, race/ethnicity, and clinicopathological factors and to support the applicability of the Oncotype DX test for a diverse breast cancer population of Hawaii.
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Objective: The risk of lymph node metastasis significantly influences the choice of surgical strategy for patients with early-stage endometrial cancer. While sentinel lymph node dissection can be considered in clinically early-stage endometrial cancer, lymph node evaluation might be omitted in patients with very low risk of lymph node metastasis. This study aims to develop a predicting model for lymph node metastasis in these patients, identifying potential metastases as thoroughly as possible to provide clinicians with a preoperative reference that helps in decisions about surgical procedures and treatments.
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