Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UNIPROT:P43146 (tumour suppressor)
 5,935 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

miR-31 (microRNA-31) is frequently altered in numerous cancers. The aim of the present study was to investigate the role of miR-31 in ESCC (oesophageal squamous cell carcinoma). We measured miR-31 in 45 paired ESCC tissues and 523 serum samples using real-time RT (reverse transcription)-PCR. The serum samples were divided into a discovery group (120 ESCCs and 121 normal controls), a validation group (81 ESCCs and 81 controls), and a final group comprising six other common tumours (colorectal, liver, cervical, breast, gastric and lung cancers; total n=120). A Mann-Whitney U test and Wilcoxon matched-pairs test were used for the statistics. miR-31 was up-regulated in 77.8% of the ESCC tissues. Serum miR-31 levels in ESCC patients were significantly higher than in normal controls (P<0.001). It yielded an ROC (receiver operating characteristic) AUC (area under the curve) of 0.902 [95% CI (confidence interval), 0.857-0.936] in the discovery group and a similar result in the validation group [ROC AUC, 0.888 (95% CI, 0.819-0.939)]. Patients with high-levels of serum miR-31 also had a poorer prognosis in relapse-free survival (P=0.001) and tumour-specific survival (P=0.005). In vitro studies showed that miR-31 promoted ESCC colony formation, migration and invasion. Luciferase reporter and Western blot assays confirmed that three tumour suppressor genes, namely EMP1 (epithelial membrane protein 1), KSR2 (kinase suppressor of ras 2) and RGS4 (regulator of G-protein signalling 4), were targeted by miR-31. We conclude that miR-31 plays oncogenetic functions and can serve as a potential diagnostic and prognostic biomarker for ESCC.
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PMID:The oncogenetic role of microRNA-31 as a potential biomarker in oesophageal squamous cell carcinoma. 2165 6

ARID1A is a tumour suppressor gene that is frequently mutated in clear cell and endometrioid carcinomas of the ovary and endometrium and is an important clinical biomarker for novel treatment approaches for patients with ARID1A defects. However, the accuracy of ARID1A immunohistochemistry (IHC) as a surrogate for mutation status has not fully been established for patient stratification in clinical trials. Here we tested whether ARID1A IHC could reliably predict ARID1A mutations identified by next-generation sequencing. Three commercially available antibodies - EPR13501 (Abcam), D2A8U (Cell Signaling), and HPA005456 (Sigma) - were optimised for IHC using cell line models and human tissue, and screened across a cohort of 45 gynaecological tumours. IHC was scored independently by three pathologists using an immunoreactive score. ARID1A mutation status was assessed using two independent sequencing platforms and the concordance between ARID1A mutation and protein expression was evaluated using Receiver Operating Characteristic statistics. Overall, 21 ARID1A mutations were identified in 14/43 assessable tumours (33%), the majority of which were predicted to be deleterious. Mutations were identified in 6/17 (35%) ovarian clear cell carcinomas, 5/8 (63%) ovarian endometrioid carcinomas, 2/5 (40%) endometrial carcinomas, and 1/7 (14%) carcinosarcomas. ROC analysis identified greater than 95% concordance between mutation status and IHC using a modified immunoreactive score for all three antibodies allowing a definitive cut-point for ARID1A mutant status to be calculated. Comprehensive assessment of concordance of ARID1A IHC and mutation status identified EPR13501 as an optimal antibody, with 100% concordance between ARID1A mutation status and protein expression, across different gynaecological histological subtypes. It delivered the best inter-rater agreement between all pathologists, as well as a clear cost-benefit advantage. This could allow patients to be accurately stratified based on their ARID1A IHC status into early phase clinical trials.
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PMID:Optimised ARID1A immunohistochemistry is an accurate predictor of ARID1A mutational status in gynaecological cancers. 3000 13