TPD52L2 Is a Prognostic Biomarker and Correlated With Immune Infiltration in Lung Adenocarcinoma
Tumor protein D52-like 2 (TPD52L2) belongs to the members of the TPD52 family. TPD52L2 was reported to regulate proliferation and apoptosis in cancer cells. However, its role in lung adenocarcinoma (LUAD) was uncertain.
Anyuan Zhong +4 more
doaj +1 more source
Decreased TPD52 expression is associated with poor prognosis in primary hepatocellular carcinoma
Tumor protein D52 (TPD52) has been indicated to be involved in tumorigenesis of various malignancies. But its role in hepatocellular carcinoma (HCC) is unknown. This study aimed to explore the expression of TPD52 in HCC samples and cell lines using real-time quantitative PCR, western blotting, and immunohistochemistry.
Wang, Ying +13 more
openaire +3 more sources
MicroRNA and transcription factor co-regulatory networks and subtype classification of seminoma and non-seminoma in testicular germ cell tumors [PDF]
Recent studies have revealed that feed-forward loops (FFLs) as regulatory motifs have synergistic roles in cellular systems and their disruption may cause diseases including cancer.
Eischen, Christine M. +6 more
core +2 more sources
Internet-based profiler system as integrative framework to support translational research [PDF]
Background Translational research requires taking basic science observations and developing them into clinically useful tests and therapeutics.
Alberto Riva +8 more
core +2 more sources
TPD52L2 as a potential prognostic and immunotherapy biomarker in clear cell renal cell carcinoma
BackgroundTumor Protein D52-Like 2 (TPD52L2) is a tumor-associated protein that participates in B-cell differentiation. However, the role of TPD52L2 in the pathological process of clear cell renal cell carcinoma (ccRCC) is unclear.MethodsMultiple omics ...
Hongbo Wang +6 more
doaj +1 more source
Brain metastasis in non‐small cell lung cancer: High‐risk factors and predictive models
Artificial intelligence (AI) can integrate of data to predict brain metastases (BM) in non‐small cell lung cancer (NSCLC). AI algorithms are employed to analyze these multifaceted datasets, enabling the identification of complex patterns and correlations that may not be apparent through traditional analytical methods.
Chen Gong +7 more
wiley +1 more source
Development of cancer vaccines targeting tumor self-antigens is complex and challenging due to the difficulty of overcoming immune tolerance to self-proteins.
C. Riccay Elizondo +3 more
doaj +1 more source
Patterns of TPD52 overexpression in multiple human solid tumor types analyzed by quantitative PCR
Tumor protein D52 (TPD52) is located at chromosome 8q21, a region that is frequently gained or amplified in multiple human cancer types. TPD52 has been suggested as a potential target for new anticancer therapies. In order to analyze TPD52 expression in the most prevalent human cancer types, we employed quantitative PCR to measure TPD52 mRNA levels in ...
Pierre, Tennstedt +9 more
openaire +3 more sources
Combining Genome Wide Association Studies and Differential Gene Expression Data Analyses Identifies Candidate Genes Affecting Mastitis Caused by Two Different Pathogens in the Dairy Cow [PDF]
Mastitis is a costly disease which hampers the dairy industry. Inflammation of the mammary gland is commonly caused by bacterial infection, mainly Escherichia coli, Streptococcus uberis and Staphylococcus aureus.
Chen, X +4 more
core +3 more sources
ABSTRACT Hematopoietic stem and progenitor cells (HSPCs) play a pivotal role in blood cell production, maintaining the health and homeostasis of individuals. Dysregulation of HSPC function can lead to blood‐related diseases, including cancer. Despite its importance, our understanding of the genes and pathways underlying HSPC development and the ...
Chang‐Kyu Oh +13 more
wiley +1 more source

