BAIAP2L2

Last update 08 May 2025

Basic Info

Synonyms

BAI1-associated protein 2-like protein 2, BAIAP2L2, BAR/IMD domain containing adaptor protein 2 like 2

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Introduction

Phosphoinositides-binding protein that induces the formation of planar or gently curved membrane structures. Binds to phosphoinositides, including to phosphatidylinositol 4,5-bisphosphate (PtdIns(4,5)P2) headgroups. There seems to be no clear preference for a specific phosphoinositide (By similarity).

100 Clinical Results associated with BAIAP2L2

100 Translational Medicine associated with BAIAP2L2

0 Patents (Medical) associated with BAIAP2L2

Literatures (Medical) associated with BAIAP2L2

01 May 2025·European Journal of Clinical Pharmacology

Genome-wide association study of direct oral anticoagulants and their relation to bleeding

Article

Author: Attelind, Sofia ; Eriksson, Niclas ; Hallberg, Pär ; Wadelius, Mia

AbstractPurposeDirect oral anticoagulants (DOACs) are used to prevent and treat thromboembolic events in adults. We aimed to investigate whether pharmacogenomic variation contributes to the risk of bleeding during DOAC treatment.MethodsCases were recruited from reports of bleeding sent to the Swedish Medical Products Agency (n = 129, 60% men, 93% Swedish, 89% on factor Xa inhibitors) and compared with population controls (n = 4891) and a subset matched for exposure to DOACs (n = 353). We performed a genome-wide association study, with analyses of candidate single nucleotide polymorphisms (SNPs) and candidate gene set analyses.ResultsForty-four cases had major, 37 minor, and 48 clinically relevant non-major (CRNM) bleeding. When cases were compared with matched controls, BAIAP2L2 rs142001534 was significantly associated with any bleeding and major/CRNM bleeding (P = 4.66 × 10−8 and P = 3.28 × 10−8, respectively). The candidate SNP CYP3A5 rs776746 was significantly associated with major and major/CRNM bleeding (P = 0.00020 and P = 0.00025, respectively), and ABCG2 rs2231142 was nominally associated with any bleeding (P = 0.01499). Rare coding variants in the candidate gene VWF were significantly associated with any bleeding (P = 0.00296).ConclusionBAIAP2L2, CYP3A5, ABCG2, and VWF may be associated with bleeding in DOAC-treated patients. The risk estimates of the candidate variants in CYP3A5 and ABCG2 were in the same direction as in previous studies. The Von Willebrand Factor gene (VWF) is linked to hereditary bleeding disorders, while there is no previous evidence of bleeding associated with BAIAP2L2.

01 Apr 2025·Cancer Gene Therapy

BAIAP2L2 facilitates hepatocellular carcinoma progression and immune evasion of via targeting JAK1-mediated pathway and PD-L1 expression

Article

Author: Peng, Nan ; Zhao, Liang ; Wu, Yanxia ; Wang, Jing ; Xie, Zhiyue ; Wang, Hui

Hepatocellular carcinoma (HCC) poses a serious threat to human health due to its high mortality rate. Recently, breakthrough progress has been made in immunotherapy field. However, the mechanisms underlying HCC progression and immune escape are still unclear. This study aimed to investigate the impact of brain-specific angiogenesis inhibitor 1-associated protein 2-like 2 (BAIAP2L2) in HCC and elucidate its potential mechanisms in this context. Clinical data revealed that the overexpression of BAIAP2L2 correlated with tumor progression and poor prognosis in HCC patients. Functional assays demonstrated that BAIAP2L2 facilitates HCC proliferation, metastasis, invasion, and PD-L1-mediated immune evasion both in vitro and in vivo. Mechanistically, we observed co-localization and interaction between BAIAP2L2 and JAK1 within HCC cells, in turn enhancing the activation of the JAK1/STAT3 signaling pathway. Utilizing the JAK1 inhibitor Ruxolitinib effectively reversed BAIAP2L2-induced cellular processes such as proliferation, migration, invasion, and PD-L1 upregulation. Overall, our results emphasize that BAIAP2L2 plays a crucial role in driving tumor progression and immune evasion in HCC through the JAK1-mediated signaling pathway, thus proposing BAIAP2L2 as a promising therapeutic target for HCC treatment.

24 Feb 2025·British Journal of Cancer

Identification of diagnostic biomarkers in prostate cancer-related fatigue by construction of predictive models and experimental validation

Article

Author: Chen, Ming ; He, Xiongwei ; Zhou, Siqi ; Wen, Haiyan

BACKGROUNDCancer-related fatigue (CRF) is a prominent cancer-related complication occurring in Prostate cancer (PCa) patients, profoundly affecting prognosis. The lack of diagnostic criteria and biomarkers hampers the management of CRF.METHODSThe CRF-related data and PCa single-cell data were retrieved from the GEO database and clinical data was downloaded from the TCGA database. The univariate logistic/Cox regression analysis were used to construct the prediction models. The predictive value of models was analyzed using the ROC curve and Kaplan-Meier survival. The hub genes were screened by an intersection analysis of DEGs. The mice model of PCa and PCa-related fatigue were established, and fatigue-like behaviors of mice were detected. The expression of selected hub genes was validated by RT-PCR and IHC analysis.RESULTSThe diagnosis and risk models showed great predictive value both in the training and validation dataset. Five genes (Baiap2l2, Cacng4, Sytl2, Sec31b and Ms4a1) that enriched the CXCL signaling were identified as hub genes. Among all hub genes, the MS4A1 expression is the most significant in PCa-related fatigue mice.CONCLUSIONSWe identified MS4A1 as a promising biomarker for the diagnosis of PCa-related fatigue. Our findings would lay a foundation for revealing the pathogenesis and developing therapies for PCa-related fatigue.

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BAIAP2L2

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