Background

Although a number of experimental studies have suggested the role of lipocalin-2 (LCN2) and matrix metalloproteinase-9 (MMP-9) in breast cancer progression, limited numbers of epidemiological studies have examined the relationship between the levels of lipocalin-2 and MMP-9 and breast cancer survival.

Methods

Preoperative serum levels of lipocalin-2 and MMP-9 were measured in 303 breast cancer patients and 74 healthy controls recruited between 2004 and 2007. We examined the association between lipocalin-2 and MMP-9 levels and disease-free survival (DFS) using Cox proportional hazard regression model.

Results

The serum levels of lipocalin-2 and MMP-9 were not significantly different between patients and controls (P > 0.05). Elevated lipocalin-2 and MMP-9 levels were associated with reduced DFS of breast cancer ( Ptrend = 0.029 and Ptrend = 0.063, respectively). When lipocalin-2 and MMP-9 levels were categorized based on the combined risk score, patients with higher levels of both lipocalin-2 and MMP-9 exhibited poor DFS compared to patients with lower levels (Ptrend = 0.004). Furthermore, these effects were profound in patients with BMI less than 25 kg/m2 (adjusted hazard ratio (aHR), 3.17; 95% confidence intervals (CI), 1.66-6.06, Ptrend < 0.001) or lymph-node negative breast cancer (aHR, 5.36; 95% CI, 2.18-13.2, Ptrend < 0.001).

Conclusions

Our study suggests that the elevated levels of lipocalin-2 and MMP-9 are associated with reduced breast cancer survival, particularly in patients with lower BMI and lymph-node negative breast cancers.

Background

Although the role of microRNA’s (miRNA’s) biogenesis pathway genes in cancer development and progression has been well established, the association between genetic variants of this pathway genes and breast cancer survival is still unknown.

Methods

We used genotype data available from a previously conducted case–control study to investigate association between common genetic variations in miRNA biogenesis pathway genes and breast cancer survival. We investigated the possible associations between 41 germ-line single-nucleotide polymorphisms (SNPs) and both disease free survival (DFS) and overall survival (OS) among 488 breast cancer patients. During the median follow-up of 6.24 years, 90 cases developed disease progression and 48 cases died.

Results

Seven SNPs were significantly associated with breast cancer survival. Two SNPs in AGO2 (rs11786030 and rs2292779) and DICER1 rs1057035 were associated with both DFS and OS. Two SNPs in HIWI (rs4759659 and rs11060845) and DGCR8 rs9606250 were associated with DFS, while DROSHA rs874332 and GEMIN4 rs4968104 were associated with only OS. The most significant association was observed in variant allele of AGO2 rs11786030 with 2.62-fold increased risk of disease progression (95% confidence interval (CI), 1.41-4.88) and in minor allele homozygote of AGO2 rs2292779 with 2.94-fold increased risk of death (95% CI, 1.52-5.69). We also found cumulative effects of SNPs on DFS and OS. Compared to the subjects carrying 0 to 2 high-risk genotypes, those carrying 3 or 4–6 high-risk genotypes had an increased risk of disease progression with a hazard ratio of 2.16 (95% CI, 1.18- 3.93) and 4.47 (95% CI, 2.45- 8.14), respectively (P for trend, 6.11E-07).

Conclusions

Our results suggest that genetic variants in miRNA biogenesis pathway genes may be associated with breast cancer survival. Further studies in larger sample size and functional characterizations are warranted to validate these results.

Objectives

To evaluate whether candidate genes in innate immunity are associated with childhood leukemia, we conducted an association study with the 1,536 SNPs in 203 genes related to innate immunity.

Methods

Incident childhood leukemia cases (n=136) aged from 0 to 18 were recruited from three teaching hospitals in Seoul between 2003 and 2006. Non-cancer controls (n=140) were frequency-matched to cases by age and gender. The information on the characteristics of children and their parents were collected by trained interviewers using structured questionnaire. Candidate genes were selected based on SNP databases (CGAP and SNP500 database), and genotype assay was performed using GoldenGate (Illumina) oligonucleotide pool assay (OPA). False discovery rate (FDR), permutation test, and haplotype analyses were used to identify the SNP with significant association with childhood leukemia. Childhood leukemia risk was estimated as ORs and 95% CIs adjusted for age, gender and birth weight.

Results

Fourteen SNPs in 13 genes (LMAN1, TLR4, STAT4, CCR9, MBP, ZP1, C8B, XDH, C7, C1QG, FGF2, LOC390183, and STAT6) were significantly associated with childhood leukemia risk (FDR p-values <0.05). In particular, LMAN1 rs1127220, TLR4 rs11536897, STAT4 rs13020076, CCR9 rs1471962, and MBP rs10514234 were significant in 5,000 permutation tests (Permutation p-value <0.05). The most significant association with childhood leukemia risk was for the LMAN1 rs1127220 that is in the protein-coding region, this finding was also supported by haplotype analysis.

Conclusions

A number of innate immunity related genes are associated with childhood leukemia, suggesting possible links between the innate immunity system and development of the childhood leukemia.

We conducted a case–control study to evaluate the association between paternal smoking and childhood leukemia and to evaluate potential modification by polymorphisms in CYP1A1. Histologically confirmed childhood leukemia cases (n = 164) and non-cancer controls (n = 164) were recruited from three teaching hospitals in Seoul, Korea. Five single nucleotide polymorphisms in CYP1A1 (–17961T>C, –9893G>A, I462V, 1188C>T (*2A), and 11599C>G) were genotyped and haplotypes were estimated by the expectation-maximization method. We also conducted a meta-analysis of 12 studies that have reported the association between paternal smoking and childhood leukemia risk. Paternal smoking at home was associated with all leukemias (OR = 1.8, 95% CI = 1.1–2.8) and acute lymphoblastic leukemia (ALL) (2.0, 1.2–3.4). An increasing trend in risk was observed for pack-years smoked after birth (Ptrend = 0.06 and 0.02, respectively) and the number of smokers in the home during the child's life (Ptrend = 0.05 and 0.03, respectively). Among those without the CGACC haplotype, ALL risk was significantly increased by the father's smoking at home (2.8, 1.5–5.3) and the presence of at least one smoker in the home (2.3, 1.2–4.4), and the test for interaction was significant (Pinteraction = 0.03 and 0.02, respectively). The meta-analysis showed that overall paternal smoking (1.13, 1.04–1.24) and smoking before the pregnancy of the child (1.12, 1.04–1.21) were significantly associated with childhood leukemia risk. Our results suggest that paternal smoking is a risk factor for childhood leukemia and the effect may be modified by CYP1A1 genotype.