Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0220723 (PCA)
 4,687 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The presence of interleukin-1 (IL-1) and IL-2 mRNA in five human prostate cancer (PCa) cell lines and their effects on cellular proliferation and prostate-specific antigen (PSA) levels were examined. IL-1 was found in androgen-unresponsive PC-3 and DU-145 but not in the androgen-responsive LNCaP, MDA-PCA-2a and MDA-PCA-2b cell lines. IL-2 message was absent while that of GAPDH (positive control) was present in all five cell lines. IL-1 decreased while IL-2 increased PSA levels of near-confluent LNCaP cells after 24 h of treatment. IL-1 inhibited whereas IL-2 stimulated the growth of sub-confluent LNCaP cells (72 h). Neither cytokine affected the proliferation of DU-145 or PC-3 cells.
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PMID:Differences in the expression and effects of interleukin-1 and -2 on androgen-sensitive and -insensitive human prostate cancer cell lines. 1073 6

3D QSAR studies were performed on a library of 120 GAPDH inhibitors, including a series of coumarins, flavonoids, and nucleosides. The VolSurf method was successfully used to calculate surface descriptors for protein-ligand affinity and binding site of the enzyme. PCA/PLS analyses have permitted the evaluation of the structural features crucial for potency, selectivity, and favorable pharmacokinetic properties, and are important for the design of new ligands.
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PMID:Structure-activity relationships of novel inhibitors of glyceraldehyde-3-phosphate dehydrogenase. 1508 Oct 8

HIF-1 (hypoxia-inducible factor 1) signaling played a vital role in HCC (hepatocellular carcinoma) prognosis. We aimed to establish an accurate risk scoring system for HCC prognosis prediction and treatment guidance. 424 samples from TCGA (The Cancer Genome Atlas) and 445 samples from GSE14520 dataset were included as the derivation and validation cohort, respectively. In the derivation cohort, prognostic relevant signatures were selected from sixteen HIF-1 related genes and LASSO regression was adopted for model construction. Tumor-infiltrating immune cells were calculated using CIBERSORT algorithm. HIF-1 signaling significantly increased in HCC samples compared with normal tissues. Scoring system based on SLC2A1, ENO1, LDHA and GAPDH exhibited a continuous predictive ability for OS (overall survival) in HCC patients. PCA and t-SNE analysis confirmed a reliable clustering ability of risk score in both cohorts. Patients were classified into high-risk and low-risk groups and the survival outcomes between the two groups showed significant differences. In the derivation cohort, Cox regression indicated the scoring system was an independent predictor for OS, which was validated in the validation cohort. Different infiltrating immune cells fraction and immune scores were also observed in different groups. Herein, a novel integrated scoring system was developed based on HIF-1 related genes, which would be conducive to the precise treatment of patients.
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PMID:Development and validation of a prognostic classifier based on HIF-1 signaling for hepatocellular carcinoma. 3208 9