Background/aim: Non-small cell lung cancer (NSCLC) is among the leading causes of cancer-related deaths worldwide. In certain human cancer types, Src is associated with cancer progression and refractory cancer. To improve the prognoses of NSCLC patients, we evaluated Src kinase-associated phosphoprotein 2 (SKAP2), a factor associated with integrin-stimulated cytoskeletal rearrangement, as a new therapeutic target.
Materials And Methods: We performed immunohistochemistry for SKAP2 in 99 NSCLC samples and evaluated the relationship between SKAP2 expression, clinicopathological factors and prognosis.
Results: Higher SKAP2 expression was detected in cancerous tissues and was predominantly expressed in the cytoplasm. Elevated SKAP2 expression levels were associated with poor prognosis (p=0.007) and shorter survival time after recurrence (p=0.035). High SKAP2 expression was an independent prognostic factor in NSCLC patients (p=0.027).
Conclusion: High SKAP2 expression levels in NSCLC tissues could be a powerful biomarker of poor prognosis. Therefore, SKAP2 is a promising candidate molecular target for NSCLC treatment.
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Front Immunol
March 2024
Department of Molecular Hematology Sanquin Research and Landsteiner Laboratory, Amsterdam University Medical Center (UMC), University of Amsterdam, Amsterdam, Netherlands.
Background: The importance of CD11b/CD18 expression in neutrophil effector functions is well known. Beyond KINDLIN3 and TALIN1, which are involved in the induction of the high-affinity binding CD11b/CD18 conformation, the signaling pathways that orchestrate this response remain incompletely understood.
Method: We performed an unbiased screening method for protein selection by biotin identification (BioID) and investigated the KINDLIN3 interactome.
Hemasphere
December 2023
State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Lysine methyltransferase 2A-rearranged acute myeloid leukemia (-r AML) is a special entity in the 2022 World Health Organization classification of myeloid neoplasms, characterized by high relapse rate and adverse outcomes. Current risk stratification was established on the treatment response and translocation partner of . To study the transcriptomic feature and refine the current stratification of pediatric -r AML, we analyzed clinical and RNA sequencing data of 351 patients.
View Article and Find Full Text PDFBiomedicines
October 2023
Department for Gastroenterology and Hepatology, University Hospital Zürich, Sternwartstrasse 14, 8091 Zürich, Switzerland.
Src-kinase associated protein 2 (SKAP2) is an intracellular scaffolding protein that is broadly expressed in immune cells and is involved in various downstream signalling pathways, including, but not limited to, integrin signalling. SKAP2 has a wide range of binding partners and fine-tunes the rearrangement of the cytoskeleton, thereby regulating cell migration and immune cell function. Mutations in SKAP2 have been associated with several inflammatory disorders such as Type 1 Diabetes and Crohn's disease.
View Article and Find Full Text PDFJ Gene Med
January 2024
Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China.
Background: Immune-mediated necrotizing myopathy (IMNM) is an autoimmune myopathy characterized by severe proximal weakness and muscle fiber necrosis, yet its pathogenesis remains unclear. So far, there are few bioinformatics studies on underlying pathogenic genes and infiltrating immune cell profiles of IMNM. Therefore, we aimed to characterize differentially expressed genes (DEGs) and infiltrating cells in IMNM muscle biopsy specimens, which may be useful for elucidating the pathogenesis of IMNM.
View Article and Find Full Text PDFOpen Life Sci
August 2023
Department of Stomatology, Shenzhen People's Hospital, Shenzhen, Guangdong, China.
The aim of this study is to construct an artificial neural network (ANN) based on bioinformatic analysis to enable early diagnosis of peri-implantitis (PI). PI-related datasets were retrieved from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) and functional enrichment analyses were performed between PI and the control group.
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