| Literature DB >> 23734184 |
Christian M Lange1, Daiki Miki, Hidenori Ochi, Hans-Dieter Nischalke, Jörg Bojunga, Stéphanie Bibert, Kenichi Morikawa, Jérôme Gouttenoire, Andreas Cerny, Jean-François Dufour, Meri Gorgievski-Hrisoho, Markus H Heim, Raffaele Malinverni, Beat Müllhaupt, Francesco Negro, David Semela, Zoltan Kutalik, Tobias Müller, Ulrich Spengler, Thomas Berg, Kazuaki Chayama, Darius Moradpour, Pierre-Yves Bochud.
Abstract
BACKGROUND: Vitamin D insufficiency has been associated with the occurrence of various types of cancer, but causal relationships remain elusive. We therefore aimed to determine the relationship between genetic determinants of vitamin D serum levels and the risk of developing hepatitis C virus (HCV)-related hepatocellular carcinoma (HCC). METHODOLOGY/PRINCIPALEntities:
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Year: 2013 PMID: 23734184 PMCID: PMC3667029 DOI: 10.1371/journal.pone.0064053
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Baseline characteristics of included patients.
| SCCS | Japanese GWAS | Japanese Repl. | Bonn/Berlin | |||||
| HCC | Control | HCC | Control | HCC | Control | HCC | Control | |
| N | 50 | 1611 | 310 | 1252 | 803 | 1253 | 116 | 209 |
| Age (SD) | 28 | 21 (10) | – | – | – | – | 61 | 48(12.4) |
| Male sex, n (%) | 31 (62) | 991(62) | 230 (74) | 725 (58) | 515 (64) | 570 (45) | 73 (58) | 114 (55) |
| Alcohol (≥40 g/d ≥5 years), n (%) | 3 (8) | 220 (17) | – | – | – | – | – | – |
| Diabetes, n (%) | 9 (18) | 91 (6) | – | – | 254 (32) | 219 (18) | – | – |
| HCV Genotype, n (%) | ||||||||
| 1, 4 | 27 (60) | 1014 (64) | 307 (99) | 1241 (99) | 540 (72) | 837 (67) | – | – |
| 2, 3 | 17 (40) | 570 (36) | 2 (1) | 10 (1) | 213 (28) | 416 (33) | – | – |
These comparisons between HCC cases and controls are statistically significant (P<0.05). Repl, replication. The cohort labeling “Japanese GWAS” and “Japanese Replication” is based on the initial description of the cohorts in Miki et al., for the present study both cohorts served as replication cohorts.
Age and sex data was missing in 5 patients in the Bonn/Berlin cohort. For the SCCS, age of infection is shown. Age of infection was unknown for the Bonn/Berlin cohort, for this cohort age at diagnosis is shown.
Alcohol consumption data was missing in 12 HCC and 290 non-HCC patients from the SCCS.
HCV genotype was missing in 5 HCC and 23 non-HCC patients from the SCCS, in 1 HCC and 2 non-HCC patients from the Japanese GWAS, and 50 HCC patients from the Japanese replication cohorts.
Summary of associations between SNPs in CYP2R1, GC, and DHCR7, and HCV-related hepatocellular carcinoma development.
| CYP2R1 | ||||||||||||
| Cases | Controls | Risk allele frequencies | ||||||||||
| SNP | Study | Allele 1/2 | 11 | 12 | 22 | 11 | 12 | 22 | Case | Control |
| OR (95% CI) |
| rs1993116 | SCCS | A/G | 6 | 16 | 28 | 199 | 774 | 634 | 0.72 | 0.64 | 0.02 | 1.95 (1.18–3.41) |
| rs1993116 | JapaneseGWAS | A/G | 41 | 136 | 133 | 163 | 621 | 468 | 0.65 | 0.62 | 0.07 | 1.26 (0.98–1.61) |
| rs10741657 | Japanese Replication | A/G | 106 | 377 | 320 | 174 | 597 | 482 | 0.63 | 0.62 | 0.5 | 1.06 (0.88–1.27) |
| rs1993116 | Bonn-Berlin | A/G | 17 | 48 | 47 | 25 | 98 | 81 | 0.63 | 0.64 | 0.7 | 1.10 (0.67–1.76) |
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Allele 2 indicates the risk allele, according to Wang et al. [9]. P-values and ORs were calculated for risk genotypes using favorable genotypes as a reference, i.e. for CYP2R1 by comparing GG vs. GA/AA genotypes, for GC by comparing TT/TG vs. GG genotypes, and for DHCR7 by comparing TT vs. TC/CC genotypes.
Only patients from the SCCS and Japanese GWAS were included in the combined analysis for this locus, because of the different allele frequencies for rs12785878 in Japanese patients compared to Caucasian patients. Data remain significant after inclusion of the Bonn-Berlin cohort (P = 0.018, OR = 1.27 [95% CI = 1.04–1.56]). *Genotyping of this SNP failed in the Japanese Replication cohort due to limited amounts of DNA. Please note that the total number of patients with available genotypes is not equal between different loci due to limited amount of DNA or genotyping failure in some cases.
rs1993116 and rs10741657 are in complete LD in the Caucasian and Japanese population (R2 = 0.95 and = 1.00, respectively), the major alleles of both SNPs have a similar impact on 25(OH)D3 serum levels, indicating that both SNPs can be used equivalently [9].
rs7944926 and rs12785878 are in complete LD in the Caucasian and Japanese population (R2 = 1.00 and = 1.00, respectively), the major alleles of both SNPs have a similar impact on 25(OH)D3 serum levels, indicating that both SNPs can be used equivalently [9].
Figure 1Risk of hepatocellular carcinoma (HCC) development in SCCS patients with chronic hepatitis C and known duration of infection, according to CYP2R1 rs1993116 genotypes.
The probability to develop HCC from the time of hepatitis C virus infection by CYP2R1 rs1993116 genotypes (GG vs. GA/AA) was assessed by using cumulative incidence curves, with censoring of data at the date of last follow-up or death. Statistics are shown for univariate Cox regression analysis. CI, confidence interval; HR, hazard ratio.
Association of SNPs in CYP2R1, GC, and DHCR7 with liver fibrosis progression rate (FPR) in patients with chronic hepatitis C.
| Patients, n (%) | ||||||
| Gene | SNP | Gt | Slow FPR | Fast FPR | P | OR (95% CI) |
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| rs1993116 | GG | 183 (41) | 192 (37) | ||
| GA | 213 (48) | 263 (51) | 0.2 | 1.20 (0.93–1.56) | ||
| AA | 47 (11) | 65 (13) | ||||
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| rs2282679 | TT | 236 (53) | 266 (51) | ||
| TG | 175 (40) | 217 (42) | 0.5 | 1.08 (0.84–1.39) | ||
| GG | 31 (7) | 34 (7) | ||||
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| rs7944926 | TT | 160 (54) | 221 (58) | ||
| TC | 115 (39) | 139 (36) | 0.3 | 0.85 (0.63–1.16) | ||
| CC | 22 (7) | 22 (6) | ||||
FPR, liver fibrosis progression rate. Slow vs. fast FPR was defined as FPR
Association of SNPs in CYP2R1, GC, and DHCR7 with response to treatment of pegylated interferon-α and ribavirin in patients with chronic hepatitis C.
| Patients, n (%) | ||||||
| Gene | SNP | Gt | without SVR | with SVR | P | OR (95% CI) |
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| rs1993116 | GG | 109 (38) | 171 (37) | ||
| GA | 138 (48) | 238 (52) | 0.9 | 1.03 (0.76–1.39) | ||
| AA | 42 (15) | 52 (11) | ||||
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| rs2282679 | TT | 166 (57) | 248 (54) | ||
| TG | 105 (36) | 186 (40) | 0.42 | 1.14 (0.85–1.54) | ||
| GG | 19 (7) | 26 (6) | ||||
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| rs7944926 | TT | 127 (53) | 230 (58) | ||
| TC | 95 (40) | 143 (36) | 0.2 | 0.81 (0.59–1.12) | ||
| CC | 17 (7) | 22 (6) | ||||
Statistics are shown for logistic regression analyses based on the additive model of inheritance. The usage of other models of inheritance (recessive, dominant) did not result in significant associations as well (not shown).