| Literature DB >> 16052224 |
J J Ord1, E H Streeter, I S D Roberts, D Cranston, A L Harris.
Abstract
Hypoxia-inducible genes have been linked to the aggressive phenotype of cancer. However, nearly all work on hypoxia-regulated genes has been conducted in vitro on cell lines. We investigated the hypoxia transcriptome in primary human bladder cancer using cDNA microarrays to compare genes induced by hypoxia in vitro in bladder cancer cell line EJ28 with genes upregulated in 39 bladder tumour specimens (27 superficial and 12 invasive). We correlated array mRNA fold changes with carbonic anhydrase 9 (CA IX) staining of tumours as a surrogate marker of hypoxia. Of 6000 genes, 32 were hypoxia inducible in vitro more than two-fold, five of which were novel, including lactate transporter SLC16A3 and RNAse 4. Eight of 32 hypoxia-inducible genes in vitro were also upregulated on the vivo array. Vascular endothelial growth factor mRNA was upregulated two-fold by hypoxia and 2-18-fold in 31 out of 39 tumours. Glucose transporter 1 was also upregulated on both arrays mRNA, and fold changes on the in vivo array significantly correlated with CA IX staining of tumours (P=0.008). However, insulin-like growth factor binding protein 3 mRNA was the most strongly differentially expressed gene in both arrays and this confirmed its upregulation in urine of bladder cancer patients (n=157, P<0.01). This study defines genes suitable for an in vivo hypoxia 'profile', shows the heterogeneity of the hypoxia response and describes new hypoxia-regulated genes.Entities:
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Year: 2005 PMID: 16052224 PMCID: PMC2361571 DOI: 10.1038/sj.bjc.6602666
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Mean fold changes of all 32 genes upregulated more than two-fold by hypoxia (0.1%) at 16 and 24 h in cell line EJ28
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| 1 | 3.4 | 17 | Adrenomedullin (ADM)* | Angiogenesis |
| 2 | 2.6 | 12.1 | Insulin-like growth factor binding protein 3 (IGFBP-3)* | Apoptosis |
| 3 | 2.9 | 8.2 | n-myc downstream regulated protein 1 (NDRG1)* | Cell cycle |
| 4 | 5.3 | 6.6 | NIP3 | Proapoptotic |
| 5 | 2.7 | 4.7 | Induclble 6-phosphofructo-2-klnase (PFKFB3)* | Glucose metabolism |
| 6 | 2.4 | 4.7 | Lysyl hydroxylase (PLOD2) | Tissue remodelling |
| 7 | 2.2 | 4.4 | MAX interacting protein 1 | Transcription factor |
| 8 | 3.1 | 4.2 | Glucose transporter 1 (GLUT 1)* | Glucose metabolism |
| 9 | 2.3 | 3.9 | 1,4-Alpha glucan branching enzyme | Glucose metabolism |
| 10 | 2.2 | 3.8 | Cyclin G2* | Cell cycle |
| 11 | 2.5 | 3.7 | Proline-4-hydroxylase (P4HA1) | Oxygen sensing |
| 12 | 3.2 | 3.2 | Adenylate kinase 4 | Energy metabolism |
| 13 | 2.9 | 3.1 | Aldolase C | Glucose metabolism |
| 14 | 1.9 | 3 | Prolyl-4-hydroxylase alpha subunlt | Oxygen sensing |
| 15 | 1.8 | 2.6 | Haem oxygenase 1 | Haem degradation |
| 16 | 2.5 | 2.5 | EGL9 homologue 1 | Oxygen sensing |
| 17 | 2.1 | 2.5 | Testis-specific lactate dehydrogenase | Acid base |
| 18 | 1.9 | 2.5 | VEGF* | Angiogenesis |
| 19 | 2.4 | 2.5 | Adenylate kinase 3 | Energy metabolism |
| 20 | 1.7 | 2.4 | Dual specificity phosphatase 1 (DUSP1/CL100/MKP1) | Cell signalling |
| 21 | 1.7 | 2.1 | DEC 1 | Differentiation |
| 22 | 2.6 | 2.1 | Glucose-6-phosphate isomerase | Glucose metabolism |
| 23 | 2.1 | 2.1 | Fructose-bisphosphate aldolase A | Glucose metabolism |
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| 24 | 2.8 | 8.2 | Solute carrier family 16 member 3 (SLC16A3) | Acid base |
| 25 | 4.5 | 4.9 | Preferentially expressed antigen of melanoma (PRAME) | Antigen |
| 26 | 2.8 | 4.1 | Importin Beta 3 | Nuclear pore protein |
| 27 | 1.9 | 3.1 | RNAse4* | Antimicrobial? |
| 28 | 2.2 | 2.9 | Protooncogene ABL1 | Cell cycle |
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| 29 | 3 | 3.9 | 50378_A | EST |
| 30 | 3.2 | 3.3 | 50022_A | EST |
| 31 | 3.5 | 3.3 | 31564_B | EST |
| 32 | 2.1 | 2.4 | 21875 A | EST |
Microarray result of eight biological replicates; genes had to be upregulated more than two-fold with high raw signal intensity (>1000 units) in more than six of eight replicates to avoid false positives and be included in this list. Eight asterisked genes (*) were also significantly upregulated on the in vivo array. EST=expressed sequence tag.
Fold changes of IGFBP-3, RNAse4 and SLC16A3 by hypoxia (0.1%) in bladder cancer cell lines, normal cultured human urothelia and HUVE cells analysed by real-time RT–PCR
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| Bladder cell line | EJ28 | 16 | 3.6 | 1 | 5.35 | 1 | ||
| EJ28 | 24 | 5.5 | 1.2 | 6.5 | 1 | 6.4 | 1 | |
| 2T10 | 16 | 14.5 | 1.3 | 3.4 | 1 | 5.5 | 1 | |
| 253J | 16 | 3.4 | 1.1 | 3.9 | 1.1 | 2.1 | 1.1 | |
| RT112 | 16 | 38 | 1.4 | 3.8 | 1.3 | 3.8 | 1.4 | |
| Normal urothelium | 16 | 4.6 | 1.1 | 3.7 | 1 | −1.3 | 1 | |
| Endothelial cells | HUVEC | 16 | 7 | −1.4 | 64 | 1.6 |
Three replicates of each experiment were performed and if replicates were more than 0.5 cycles different, the result was not accepted. The control gene Beta-2-microglobulin in each experiment did not differ significantly from normoxia to hypoxia but any trend to change of the control gene is demonstrated by minimal fold changes (range −1.4 to 1.6). Fold change calculated on the basis of 2 to the power of the change in cycle number at a set threshold. Differences in gene of interest in normoxia and hypoxia all showed a significant difference in average cycle threshold (P<0.01) unless indicated. Negative values indicate downregulation.
Figure 1Graphic representation of array results of in vivo hypoxia gene expression in bladder cancers, for all genes induced by hypoxia in vitro (as listed in Table 1): in order of Genespring ‘Interest’ function that places the most statistically trustworthy and greatest fold changes towards the top of the list. Some genes have more than one result as they were represented by more than one spot on the array. 39 columns=39 tumour samples. Samples 1 (on left) to 26=superficial, samples 27–39=muscle invasive. One row=one gene as labelled. Tumour cDNA was competitively hybridised against a panel of 11 cancer cell lines. Red=two-fold or more upregulation, green=downregulation, brown equals no change. Brightness=statistical trust.
Figure 2Tumour samples categorised by the fold upregulation of the eight genes upregulated by hypoxia in the cell line and upregulated more than two-fold in more than five tumour samples on the in vivo array. Insulin-like growth factor binding protein 3 makes the largest fold contribution and is upregulated more than two-fold in the majority of samples.
Figure 3Glucose transporter 1 fold changes in vivo correlated with scores for CA IX staining of tumours by immunohistochemistry as a surrogate marker of hypoxia. Adrenomedullin fold changes correlated with GLUT-1 fold changes. Carbonic anhydrase IX itself was not on the array.
Figure 4Levels of IGFBP-3 in urine: TOP absolute level, BOTTOM corrected level for urine creatinine. Invasive significantly higher than all control groups in both cases. Superficial significantly higher than control groups for absolute levels only (**=P<0.01). Error bar=standard error.