Ask about this productRelated genes to: PLAC9 antibody
- Gene:
- PLAC9 NIH gene
- Name:
- placenta associated 9
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 10q22.3
- Locus Type:
- gene with protein product
- Date approved:
- 2002-09-24
- Date modifiied:
- 2019-03-04
Related products to: PLAC9 antibody
Related articles to: PLAC9 antibody
- While genome-wide association studies have linked the human PLAC9 gene to body mass index, its physiological function remains largely unexplored. This study identifies PLAC9 as a novel adipokine that is enriched in the stromal vascular fraction of adipose tissue. Its circulating levels correlate with key metabolic dysregulation markers in humans and mice. We utilized gain- and loss-of-function approaches in diet-induced obesity (DIO) and streptozotocin (STZ)-induced diabetic mouse models to demonstrate that PLAC9 is a critical regulator of systemic metabolism. Notably, knockdown of endogenous PLAC9 exacerbated metabolic impairments, while its overexpression significantly mitigated DIO-associated metabolic dysregulation. Additionally, recombinant PLAC9 protein administration alleviated hyperglycemia in insulin-resistant and insulin-deficient models. Mechanistically, PLAC9 potentiated calcium-dependent insulin secretion in pancreatic beta cells, promoted glucose uptake in the liver and skeletal muscle, and upregulated hepatic Ghr and Igf1 levels to facilitate glucose homeostasis. Based on these hormone-like properties, we propose renaming the protein Placin. Collectively, these findings establish Placin as a promising therapeutic target, offering translational potential for the management of both type 2 and type 1 diabetes. - Source: PubMed
Publication date: 2026/05/12
Lo Tak-HoChan Ka-YingChen DilunDeng Chu-JunTing-Yuan Yeh SteveWu MengyaoCai YinXu AiminWong Chi-Ming - The tumor stroma has been reported to be associated with worse prognosis in several solid tumors, but its prognostic value in breast cancer (BRCA) is still undefined. - Source: PubMed
Publication date: 2025/03/10
Liu YinchengXue NingyiLiu YuelinMei JieCai YunWang ZhenghuiLin HongxinWan MengyunZhou JiXia TiansongZhu YichaoWang Shui - Adipocytes, especially adipocytes within tumor tissue known as cancer-associated adipocytes, have been increasingly recognized for their pivotal role in the tumor microenvironment of gastric cancer (GC). Their influence on tumor progression and patient prognosis has sparked significant interest in recent research. The main objectives of this study were to investigate adipocyte infiltration, assess its correlation with clinical pathological features, develop a prognostic prediction model based on independent prognostic factors, evaluate the impact of adipocytes on immune cell infiltration and tumor invasiveness in GC, and identify and validate genes associated with high adipocyte expression, exploring their potential diagnostic and prognostic value. - Source: PubMed
Shang Jia-RongZhu JinBai LuKulabiek DelidaZhai Xiao-XueZheng XiaQian Jun - Crosstalk between neoplastic and stromal cells fosters prostate cancer (PCa) progression and dissemination. Insight in cell-to-cell communication networks provides new therapeutic avenues to mold processes that contribute to PCa tumor microenvironment (TME) alterations. Here we performed a detailed characterization of PCa tumor endothelial cells (TEC) to delineate intercellular crosstalk between TEC and the PCa TME. - Source: PubMed
Publication date: 2022/06/18
Heidegger IsabelFotakis GeorgiosOffermann AnneGoveia JermaineDaum SophiaSalcher StefanNoureen AsmaTimmer-Bosscha HettySchäfer GeorgWalenkamp AnnemiekPerner SvenBeatovic AleksandarMoisse MatthieuPlattner ChristinaKrogsdam AnneHaybaeck JohannesSopper SieghartThaler StefanieKeller Markus AKlocker HelmutTrajanoski ZlatkoWolf DominikPircher Andreas - The biomarkers have an important guiding role in prognosis and treatment of patients with bladder cancer (BC). The aim of the present study was to identify and evaluate a prognostic gene signature in BC patients. The gene expression profiles of BC samples and the corresponding clinicopathological data were downloaded from GEO and TCGA. The differentially expressed genes (DEGs) were identified by R software. Univariate Cox regression and the least absolute shrinkage and selection operator (LASSO) Cox regression were applied to construct the prognostic score model. A nomogram was established with the identified prognostic factors to predict the overall survival rates of BC patients. The discriminatory and predictive capacity of the nomogram was evaluated based on the concordance index (C-index), calibration curves and decision curve analysis (DCA). A 7-gene signature (KLRB1, PLAC9, SETBP1, NR2F1, GRHL2, ANXA1 and APOL1) was identified from 285 DEGs by univariate and LASSO Cox regression analyses. Univariate and multivariate Cox regression analyses showed that age, lymphovascular invasion, lymphatic metastasis, metastasis and the 7-gene signature risk score was an independent predictor of BC patient prognosis. A nomogram that integrated these independent prognostic factors was constructed. The C-index (0.73, CI 95%, 0.693-0.767) and calibration curve demonstrated the good performance of the nomogram. DCA of the nomogram further showed that this model exhibited good net benefit. The combined 7-gene signature could serve as a biomarker for predicting BC prognosis. The nomogram built by risk score and other clinical factors could be an effective tool for predicting the prognosis of patients with BC. - Source: PubMed
Publication date: 2022/01/28
Tang FucaiLi ZhibiaoLai YongchangLu ZechaoLei HanqiHe ChengwuHe Zhaohui