Last update 01 Nov 2024

PCDHB2

Last update 01 Nov 2024

Basic Info

Synonyms

PCDH-beta-2, PCDH-BETA2, PCDHB2

+ [2]

Introduction

Potential calcium-dependent cell-adhesion protein. May be involved in the establishment and maintenance of specific neuronal connections in the brain.

100 Clinical Results associated with PCDHB2

100 Translational Medicine associated with PCDHB2

0 Patents (Medical) associated with PCDHB2

Literatures (Medical) associated with PCDHB2

01 Sep 2024·Neoplasia

GRIN3A: A biomarker associated with a cribriform pattern and poor prognosis in prostate cancer

Article

Author: Strømme, Jonas M ; Axcrona, Karol ; Skotheim, Rolf I ; Bogaard, Mari ; Bakken, Anne C ; Axcrona, Ulrika ; Johannessen, Bjarne ; Kidd, Susanne G ; Lothe, Ragnhild A

Prostate cancer with a cribriform pattern, including invasive cribriform carcinoma (ICC) and/or intraductal carcinoma (IDC) is associated with a poor prognosis, and the underlying mechanisms are unclear. Therefore, we aimed to identify biomarkers for this feature. Using a radical prostatectomy cohort, we performed within-patient differential expression analyses with RNA sequencing data to compare samples with a cribriform pattern to those with non-cribriform Gleason pattern 4 (NcGP4; n=13). ACSM1, GRIN3A, PCDHB2, and REG4 were identified as differentially expressed, and validation was performed using real-time reverse transcription polymerase chain reaction (n=99; 321 RNA samples) and RNA in situ hybridization on tissue microarrays (n=479; 2047 tissue cores). GRIN3A was significantly higher expressed in cribriform pattern vs. NcGP4, when assessed within the same patient (n=27; p=0.005) and between different patients (n=83; p=0.001). Tissue cores with IDC more often expressed GRIN3A compared to ICC, NcGP4, and benign tissue (52 % vs. ≤ 32 %). When IDC and NcGP4 was compared within the same patient (173 pairs of tissue cores; 54 patients), 38 (22 %) of the tissue microarray core pairs had GRIN3A expression in only IDC, 33 (19 %) had expression in both IDC and NcGP4, 14 (8 %) in only NcGP4 and 88 (51 %) were negative in both entities (p=0.001). GRIN3A was as well associated with biochemical recurrence (log-rank, p=0.002). In conclusion, ectopic GRIN3A expression is an RNA-based biomarker for the presence of cribriform prostate cancer, particularly for IDC.

01 Nov 2021·DNA and Cell BiologyQ4 · BIOLOGY

Identification and Prognostic Value Exploration of Cyclophosphamide (Cytoxan)-Centered Chemotherapy Response-Associated Genes in Breast Cancer

Q4 · BIOLOGY

Article

Author: Du, Jiawei ; Li, Yuhong ; Dong, Yanru

In this study, we aimed to explore cyclophosphamide (Cytoxan) response-associated genes and constructed a model to predict the prognosis of breast cancer (BRCA) patients. Samples obtained from TCGA and GEO databases were subjected to Weighted Gene Coexpression Network Analysis (WGCNA) and univariate Cox and LASSO Cox regression analysis to identify and validate the Cytoxan response-related prognostic signature. Moreover, multivariate Cox regression analysis was performed to analyze the independence of factors, and the nomogram model was constructed by including all the independent factors. WGCNA revealed that 159 genes are significantly correlated with Cytoxan response in BRCA samples, and the samples with a different prognosis could be effectively distinguished based on the expression of those 159 genes. Ten genes were further selected to be related to the prognosis of BRCA patients, including PCDHB2, GRIK2, FRMD7, CCSER1, PCDHGA1, PCDHA1, LRRC37A6P, PCDHGA12, ZNF486, and PCDHGB5, based on the Risk Score model. Among them, PCDHA1 expression was validated in cells and patient samples. Multivariate Cox regression analysis confirmed that the Risk Score is an independent factor. Furthermore, the nomogram model showed that the predicted survival probability is closely related to the actual survival probability. In conclusion, we identified 159 genes potentially correlated with the Cytoxan response of BRCA patients, which had prognostic value in BRCA.

01 Mar 2019·Gynecologic OncologyQ2 · MEDICINE

Genomic characterization of cervical cancer based on human papillomavirus status

Q2 · MEDICINE

Article

Author: Hu, Wenjun ; Chen, Chen ; Yan, Hangyu ; Zhang, Liya ; Jiang, Yi ; Wang, Yaoyan ; Zhu, Yue ; Lu, Xiaofan ; Zhao, Huiling ; Yan, Fangrong

OBJECTIVEIt is uncommon for cervical cancer patients to be diagnosed without a human papillomavirus (HPV) infection. As prophylactic vaccines against high-risk HPV types are an ineffective preventive measure for these patients it is essential to identify differential biomarkers that may be associated with detection, prognosis and novel targeted therapies. The objective of this study was to compare the two entities, HPV+ and HPV- cervical cancers, based on TCGA public data.METHODSWe collected and analyzed clinical information of 299 cervical cancer patients as the first step, then identified differential expressed genes and conducted downstream analyses to characterize this tumor based on HPV status, including functional annotation, pathway mapping, survival analysis and comparative somatic mutation landscapes. We further inferred the likelihood of responding to traditional treatment including radiotherapy and chemotherapy.RESULTSIt was found that HPV- tumors were likely to occur at an older age and were often adenocarcinomas or adenosquamous carcinomas, and there was no significant overall survival difference between HPV+ vs. HPV- tumors. Gene expression profiles of HPV+ and HPV- tumors differed especially in ANKRD7, SERPINB3, EMX2, MEI1, RNF212, RP11-13 K12.5, RP11-325F22.2 and ZFR2 which were significantly relevant to cervical cancer prognosis. TP53, ARID5B, ARID1A, CTNNB1 and PTEN were significantly differentially mutated between HPV+ and HPV- tumors. Results of radiotherapy analyses demonstrated that CDO1, PCDHB2 and MYOD1 were different between the two subsets. In addition, RP11-299 L17.3, SLC14A2, FGF18 and OASL represented different drug-sensitivity to cisplatin between both.CONCLUSIONSThese potential biomarkers may offer insights to further personalize therapeutic decision-making to improve survival in HPV- cervical cancer patients.

Analysis

Perform a panoramic analysis of this field.

view full example data

Chat with Hiro

Get started for free today!

Accelerate Strategic R&D decision making with Synapse, PatSnap’s AI-powered Connected Innovation Intelligence Platform Built for Life Sciences Professionals.

Start your data trial now!

Synapse data is also accessible to external entities via APIs or data packages. Empower better decisions with the latest in pharmaceutical intelligence.

Bio

Bio Sequences Search & Analysis

Chemical

Chemical Structures Search & Analysis

PCDHB2

Basic Info

Related

Analysis