LAMB2

Last update 08 May 2025

Basic Info

Synonyms

LAMB2, Laminin B1s chain, laminin subunit beta 2

+ [12]

Introduction

Binding to cells via a high affinity receptor, laminin is thought to mediate the attachment, migration and organization of cells into tissues during embryonic development by interacting with other extracellular matrix components.

100 Clinical Results associated with LAMB2

100 Translational Medicine associated with LAMB2

0 Patents (Medical) associated with LAMB2

294

Literatures (Medical) associated with LAMB2

30 Apr 2025·The FASEB Journal

Decoding the role of lipid metabolism in NSCLC: From macrophage subtype identification to prognostic model development

Article

Author: Li, Fan ; Qi, Kai ; Peng, Jinhua ; Huang, Zhihao ; Chen, Xianglai ; Wang, Jiakun ; Song, Chao ; He, Aoxiao ; Lu, Hongcheng ; Zhang, Shan

AbstractLipid metabolism plays a pivotal role in shaping the tumor microenvironment, particularly by influencing macrophage function. This study aimed to identify lipid‐associated macrophage (LAM) marker genes involved in the onset and progression of non‐small cell lung cancer (NSCLC) through integrated single‐cell RNA sequencing (scRNA‐seq) and bulk RNA sequencing (bulk RNA‐seq) analyses. Mutation and RNA‐seq data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were analyzed to explore the relationship between lipid metabolism pathways and NSCLC progression. scRNA‐seq analysis revealed macrophage subtypes closely associated with lipid metabolism, with three key marker genes—S100A10, HLA‐DMB, and CTSL—identified as predictive factors for patient prognosis. A prognostic risk scoring model was constructed and validated using survival analysis and ROC curves, demonstrating high accuracy in stratifying NSCLC patients by risk. Further in vivo experiments using subcutaneous tumor xenografts and lung metastasis models showed that S100A10 and CTSL promoted tumor growth and metastasis, while HLA‐DMB inhibited these processes. Immune infiltration analysis highlighted the immunological relevance of the identified marker genes, providing insights into their functional roles. This study underscores the critical influence of LAMs in NSCLC progression and highlights a robust prognostic model that offers potential therapeutic targets for improving patient outcomes.

04 Apr 2025·Journal of Proteome Research

Urine Measurements of the Renin-Angiotensin System-Regulated Proteins Predict Death and Graft Loss in Kidney Transplant Recipients Enrolled in a Ramipril versus Placebo Randomized Controlled Trial

Article

Author: Kotlyar, Max ; Farkona, Sofia ; Knoll, Greg ; Jurisica, Igor ; Burns, Kevin ; Brinc, Davor ; Konvalinka, Ana

The renin-angiotensin system (RAS) is involved in kidney fibrosis. We previously identified six RAS-regulated proteins (RHOB, BST1, LYPA1, GLNA, TSP1, and LAMB2) that were increased in the urine of patients with kidney allograft fibrosis, compared to patients without fibrosis. We hypothesized that these urinary RAS-regulated proteins predicted primary outcomes in kidney transplant recipients enrolled in the largest RAS inhibitor randomized controlled trial. Urine excretion of 10 peptides corresponding to the six RAS-regulated proteins was quantified using parallel reaction monitoring mass spectrometry assays (normalized by urine creatinine) in a subset of patients in the trial. Machine learning models predicting outcomes based on urine peptide excretion rates were developed and evaluated. Urine samples (n = 111) from 56 patients were collected at 0, 6, 12, and 24 months. Twenty-four primary outcomes (doubling of serum creatinine, graft loss, or death) occurred in 17 patients. Logistic regression utilizing eight peptides of TSP1, BST1, LAMB2, LYPA1, and RHOB, from the last urine sample prior to outcomes, predicted a graft loss with an AUC of 0.78 (p = 0.00001). A random forest classifier utilizing BST1 and LYPA1 peptides predicted death with an AUC of 0.80 (p = 0.0016). Urine measurements of RAS-regulated proteins may predict outcomes in kidney transplant recipients, although further prospective studies are required.

01 Apr 2025·Cell Reports Medicine

A spatially resolved transcriptome landscape during thyroid cancer progression

Article

Author: Li, Ling ; Wang, Yu ; Huang, Zhiheng ; Hu, Weiguo ; Wei, Wenjun ; Liao, Tian ; Zeng, Yu ; Ji, Qinghai ; Fung, Man Him Matrix ; Zhang, Yan ; Shi, Xiao ; Li, Shengli ; Shen, Cenkai ; Du, Yuxin ; Ding, Peipei ; Xu, Weibo ; Zhang, Meng

Tumor microenvironment (TME) remodeling plays a pivotal role in thyroid cancer progression, yet its spatial dynamics remain unclear. In this study, we integrate spatial transcriptomics and single-cell RNA sequencing to map the TME architecture across para-tumor thyroid (PT) tissue, papillary thyroid cancer (PTC), locally advanced PTC (LPTC), and anaplastic thyroid carcinoma (ATC). Our integrative analysis reveals extensive molecular and cellular heterogeneity during thyroid cancer progression, enabling the identification of three distinct thyrocyte meta-clusters, including TG⁺IYG⁺ subpopulation in PT, HLA-DRB1⁺HLA-DRA⁺ subpopulation in early cancerous stages, and APOE⁺APOC1⁺ subpopulation in late-stage progression. We reveal stage-specific tumor leading edge remodeling and establish high-confidence cell-cell interactions, such as COL8A1-ITHB1 in PTC, LAMB2-ITGB4 in LPTC, and SERPINE1-PLAUR in ATC. Notably, both SERPINE1 expression level and SERPINE1⁺ fibroblast abundance correlate with malignant progression and prognosis. These findings provide a spatially resolved framework of TME remodeling, offering insights for thyroid cancer diagnosis and treatment.

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LAMB2

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