Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0027627 (metastases)
 103,950 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Prostate cancer is a major cause of mortality, largely as a consequence of metastases and transformation to androgen-independent growth. Metalloproteinases are implicated in cancer progression. A disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS) are expressed in prostate cancer cells, with ADAMTS-1 and ADAMTS-15 being the most abundant. ADAMTS-15 but not ADAMTS-1 expression was downregulated by androgen in LNCaP prostate cancer cells, possibly through androgen response elements associated with the gene. ADAMTS-15 expression is predictive for survival in breast cancer, and the situation may be similar in prostate cancer, as androgen independence is usually due to aberrant signaling through its receptor.
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PMID:Androgen regulates ADAMTS15 gene expression in prostate cancer cells. 2059 Apr 45

BACKGROUND Tyrosine kinase inhibitors (TKIs) are used to treat metastatic disease associated with clear cell renal cell carcinoma (ccRCC); however, most patients develop resistance after 6 to 15 months. As such, identifying biomarkers of TKI resistance may be useful for prognosis. MATERIAL AND METHODS We analyzed ChIP-seq data related to TKI resistance from the Gene Expression Omnibus and RNA-Seq and clinical data from The Cancer Genome Atlas database. We used univariate Cox analysis and Cox regression/Lasso analysis to determine a risk score. The Kaplan-Meier estimate and receiver operating characteristic curve verified the risk score's sensitivity and specificity. The stratified analysis and the univariate and multivariate analyses revealed its predictive power. We predicted survival time by constructing a nomogram. RESULTS Of the 32 differentially expressed genes (DEGs) related to TKI resistance, 6 (ACE2, MMP24, SLC44A4, C1R, C1ORF194, ADAMTS15) were used to establish a risk score. Kaplan-Meier analysis showed that high-risk patients had shorter median survival times than low-risk patients, notably among those with metastatic disease (1.51 vs. 4.55 years). The stratified analysis revealed that patients with advanced disease had relatively higher risk scores than patients at early stages (P<0.001). Univariate analysis independently associated the 6-DEGs signature with the prognosis of metastatic ccRCC (hazard ratio, 1.217; 95% confidence interval, 1.090-1.358). The nomogram we constructed based on 6-DEGs signature and clinical parameters predicted survival time accurately. CONCLUSIONS We identified a 6-DEGs signature that permitted us to establish a risk score related to TKI resistance that can serve as a reliable biomarker for predicting the survival of patients with ccRCC.
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PMID:Identification of a 6-Gene Signature Associated with Resistance to Tyrosine Kinase Inhibitors: Prognosis for Clear Cell Renal Cell Carcinoma. 3329 52