Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0178874 (tumor progression)
 40,807 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Hyaluronidase (HAase), a class of enzymes which degrade hyaluronic acid (HA), are involved in the spread of infections/toxins, ovum fertilization, and cancer progression. Thus, HAase inhibitors may have use in disease treatments. We evaluated 21 HAase inhibitors against HYAL-1, testicular, honeybee, and Streptomyces HAases. Among these inhibitors, polymers of poly (styrene-4-sulfonate) (PSS) (i.e., molecular weight 1400-990,000 or PSS 1400-PSS 990,000) and O-sulfated HA (sHA) derivatives (sHA2.0, 2.5, and 2.75) were the most effective. HYAL-1 and bee HAases were the most sensitive, followed by testicular HAase; Streptomyces HAase was resistant to all inhibitors, except PSS 990,000 and VERSA-TL 502 (i.e., PSS 10(6) dalton). The length of the PSS polymer determined their potency (e.g., IC50 for HYAL-1, PSS 990,000: 0.0096 microM; PSS 210 no inhibition; IC50 for testicular HAase, PSS 990,000: 0.042 microM; PSS 210 no inhibition). The presence, but not the number, of sulfate groups on the sHA molecule determined its potency (e.g., IC50 for HYAL-1: sHA2.0, 0.019 microM; sHA2.75, 0.0083 microM). Other known HAase inhibitors, such as gossypol, sodium-aurothiomalate, 1-tetradecane sulfonic acid, and glycerrhizic acid, were not effective. Both PSS and sHA inhibited HAases by a mixed inhibition mechanism (i.e., competitive + uncompetitive) and were 5- to 17-fold better as uncompetitive inhibitors than as competitive inhibitors. These results demonstrate that HAase inhibitors show selectivity toward the different types of HAases, which could be exploited to inhibit specific HAases involved in a variety of pathophysiologic conditions.
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PMID:Differential selectivity of hyaluronidase inhibitors toward acidic and basic hyaluronidases. 1616 2

The post-progression survival (PPS) of patients with pancreatic ductal adenocarcinoma (PDAC) after radical resection is varied and influenced by the characteristics of tumor progression. We aimed to establish and validate a nomogram to predict PPS for PDAC patients after surgery. A total of 302 PDAC patients who had undergone curative resection from 2008 to 2018 were enrolled in this study and randomly divided into training and validation cohorts at a ratio of 3:1. The nomogram was established based on independent prognostic factors selected by LASSO and Cox regression and measured by the area under the receiver operating characteristic curve (AUC) and the concordance index (C-index). Significant prognostic factors included carbohydrate antigen 19-9 (CA19-9), lymph node (LN)9 metastasis, LN14 metastasis, LN16 metastasis, tumor differentiation, imaging-detected tumor size, local progression, liver-only metastasis, lung-only metastasis, and multiple metastases. The nomogram built on these factors showed powerful efficacy in PPS prediction, with C-index values of 0.751 (95% CI 0.692-0.0.810) and 0.710 (95% CI 0.645-0.755) for the training and validation cohorts, respectively. The AUC values for the 1-year and 2-year PSS rates were 0.745, 0.747, and 0.783, 0.748, respectively; these values were higher than those of the 8th tumor-node-metastasis (TNM) stage system. The exploration of risk factors and the establishment of a nomogram can provide new versions of personalized recurrence management for PDAC patients after surgery.
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PMID:A Novel Nomogram to Predict Survival in Patients With Recurrence of Pancreatic Ductal Adenocarcinoma After Radical Resection. 3301 5