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- Butt, Salma, et al.
(författare)
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The Target for Statins, HMG-CoA Reductase, Is Expressed in Ductal Carcinoma-In Situ and May Predict Patient Response to Radiotherapy.
- 2014
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Ingår i: Annals of Surgical Oncology. - : Springer Science and Business Media LLC. - 1534-4681 .- 1068-9265. ; 21:9, s. 2911-2919
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Tidskriftsartikel (refereegranskat)abstract
- Patients with ductal carcinoma-in-situ (DCIS) are currently not prescribed adjuvant systemic treatment after surgery and radiotherapy. Prediction of DCIS patients who would benefit from radiotherapy is warranted. Statins have been suggested to exert radio-sensitizing effects. The target for cholesterol-lowering statins is HMG-CoA reductase (HMGCR), the rate-limiting enzyme in the mevalonate pathway. The aim of this study was to examine HMGCR expression in DCIS and study its treatment predictive value.
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| 2. |
- Braem, Marieke G. M., et al.
(författare)
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Multiple Miscarriages Are Associated with the Risk of Ovarian Cancer: Results from the European Prospective Investigation into Cancer and Nutrition
- 2012
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Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 7:5
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Tidskriftsartikel (refereegranskat)abstract
- While the risk of ovarian cancer clearly reduces with each full-term pregnancy, the effect of incomplete pregnancies is unclear. We investigated whether incomplete pregnancies (miscarriages and induced abortions) are associated with risk of epithelial ovarian cancer. This observational study was carried out in female participants of the European Prospective Investigation into Cancer and Nutrition (EPIC). A total of 274,442 women were followed from 1992 until 2010. The baseline questionnaire elicited information on miscarriages and induced abortions, reproductive history, and lifestyle-related factors. During a median follow-up of 11.5 years, 1,035 women were diagnosed with incident epithelial ovarian cancer. Despite the lack of an overall association (ever vs. never), risk of ovarian cancer was higher among women with multiple incomplete pregnancies (HR >= 4vs.0: 1.74, 95% CI: 1.20-2.70; number of cases in this category: n = 23). This association was particularly evident for multiple miscarriages (HR >= 4vs.0: 1.99, 95% CI: 1.06-3.73; number of cases in this category: n = 10), with no significant association for multiple induced abortions (HR >= 4vs.0: 1.46, 95% CI: 0.68-3.14; number of cases in this category: n = 7). Our findings suggest that multiple miscarriages are associated with an increased risk of epithelial ovarian cancer, possibly through a shared cluster of etiological factors or a common underlying pathology. These findings should be interpreted with caution as this is the first study to show this association and given the small number of cases in the highest exposure categories.
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| 3. |
- Butt, Salma, et al.
(författare)
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Breastfeeding in relation to risk of different breast cancer characteristics.
- 2014
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Ingår i: BMC Research Notes. - : Springer Science and Business Media LLC. - 1756-0500. ; 7:1
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Tidskriftsartikel (refereegranskat)abstract
- The aim of this present study was to examine duration of breastfeeding in relation to the risk of different subgroups of breast cancer. A prospective cohort, The Malmö Diet and Cancer study, including 14092 parous women, were followed during a mean of 10.2 years and a total of 424 incident breast cancers were diagnosed.
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| 4. |
- Butt, Salma, et al.
(författare)
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Genetic predisposition, parity, age at first childbirth and risk for breast cancer.
- 2012
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Ingår i: BMC Research Notes. - : Springer Science and Business Media LLC. - 1756-0500. ; 5
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Recent studies have identified several single-nucleotide polymorphisms (SNPs) associated with the risk of breast cancer and parity and age at first childbirth are well established and important risk factors for breast cancer. The aim of the present study was to examine the interaction between these environmental factors and genetic variants on breast cancer risk.METHODS: The Malmö Diet and Cancer Study (MDCS) included 17 035 female participants, from which 728 incident breast cancer cases were matched to 1448 controls. The associations between 14 SNPs and breast cancer risk were investigated in different strata of parity and age at first childbirth. A logistic regression analysis for the per allele risk, adjusted for potential confounders yielded odds ratios (OR) with 95% confidence intervals (CI).RESULTS: Six of the previously identified SNPs showed a statistically significant association with breast cancer risk: rs2981582 (FGFR2), rs3803662 (TNRC9), rs12443621 (TNRC9), rs889312 (MAP3K1), rs3817198 (LSP1) and rs2107425 (H19). We could not find any statistically significant interaction between the effects of tested SNPs and parity/age at first childbirth on breast cancer risk after adjusting for multiple comparisons.CONCLUSIONS: The results of this study are in agreement with previous studies of null interactions between tested SNPs and parity/age at first childbirth with regard to breast cancer risk.
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| 5. |
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| 6. |
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| 7. |
- Butt, Salma
(författare)
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Reproductive Factors and Breast Cancer - Parity, Breastfeeding and Genetic Predisposition in Relation to Risk and Prognosis
- 2011
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The aim of this thesis was to study reproductive factors and genetic polymorphisms in relation to breast cancer risk and survival. An important component of this was to investigate the risk of specific breast cancer subgroups. The association between parity and breast cancer-specific survival was studied among 4,453 women diagnosed with breast cancer in Malmö, Sweden. It was found that: • Nulliparity and multiparity (≥4 children) were associated with a worse survival after breast cancer than that of women with one child. Parity, age at first childbirth and breastfeeding were examined in relation to the risk of specific breast cancer subgroups among 17,035 women in The Malmö Diet and Cancer Study. It was found that: • Nulliparous women had a higher risk of more aggressive breast cancer subgroups than women with one child. • Women with a late first childbirth (>30 years) had a higher risk of more aggressive breast cancer subgroups than women with an early first childbirth (≤20 years). • Long duration of breastfeeding was associated with relatively aggressive breast cancer subgroups. The potential interaction between parity/age at first childbirth and single nucleotide polymorphisms (SNPs) was studied in The Malmö Diet and Cancer Study. It was found that: • Seven out of 14 investigated SNPs showed a statistically significant association with breast cancer risk. Certain combinations of parity/age at first childbirth and SNPs might alter the susceptibility to breast cancer. We conclude that parity, breastfeeding and genetic predispostion are related to breast cancer risk and/or prognosis.
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| 9. |
- Harlid, Sophia, 1978-, et al.
(författare)
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A candidate CpG SNP approach identifies a breast cancer associated ESR1-SNP
- 2011
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Ingår i: International Journal of Cancer. - : Wiley-Blackwell. - 0020-7136 .- 1097-0215. ; 129:7, s. 1689-1698
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Tidskriftsartikel (refereegranskat)abstract
- Altered DNA methylation is often seen in malignant cells, potentially contributing to carcinogenesis by suppressing gene expression. We hypothesized that heritable methylation potential might be a risk factor for breast cancer and evaluated possible association with breast cancer for single nucleotide polymorphisms (SNPs) either involving CpG sequences in extended 5'-regulatory regions of candidate genes (ESR1, ESR2, PGR, and SHBG) or CpG and missense coding SNPs in genes involved in methylation (MBD1, MECP2, DNMT1, MGMT, MTHFR, MTR, MTRR, MTHFD1, MTHFD2, BHMT, DCTD, and SLC19A1). Genome-wide searches for genetic risk factors for breast cancers have in general not investigated these SNPs, because of low minor allele frequency or weak haplotype associations. Genotyping was performed using Mass spectrometry-Maldi-Tof in a screening panel of 538 cases and 1,067 controls. Potential association to breast cancer was identified for 15 SNPs and one of these SNPs (rs7766585 in ESR1) was found to associate strongly with breast cancer, OR 1.30 (95% CI 1.17-1.45; p-value 2.1 × 10(-6) ), when tested in a verification panel consisting of 3,211 unique breast cancer cases and 4,223 unique controls from five European biobank cohorts. In conclusion, a candidate gene search strategy focusing on methylation-related SNPs did identify a SNP that associated with breast cancer at high significance.
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| 10. |
- Harlid, Sophia, 1978-, et al.
(författare)
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Combined effect of low-penetrant SNPs on breast cancer risk
- 2012
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Ingår i: British Journal of Cancer. - London : Nature Publishing Group. - 0007-0920 .- 1532-1827. ; 106:2, s. 389-396
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Although many low-penetrant genetic risk factors for breast cancer have been discovered, knowledge about the effect of multiple risk alleles is limited, especially in women <50 years. We therefore investigated the association between multiple risk alleles and breast cancer risk as well as individual effects according to age-approximated pre- and post-menopausal status.METHODS: Ten previously described breast cancer-associated single-nucleotide polymorphisms (SNPs) were analysed in a joint European biobank-based study comprising 3584 breast cancer cases and 5063 cancer-free controls. Genotyping was performed using MALDI-TOF mass spectrometry, and odds ratios were estimated using logistic regression.RESULTS: Significant associations with breast cancer were confirmed for 7 of the 10 SNPs. Analysis of the joint effect of the original 10 as well as the statistically significant 7 SNPs (rs2981582, rs3803662, rs889312, rs13387042, rs13281615, rs3817198 and rs981782) found a highly significant trend for increasing breast cancer risk with increasing number of risk alleles (P-trend 5.6 x 10(-20) and 1.5 x 10(-25), respectively). Odds ratio for breast cancer of 1.84 (95% confidence interval (CI): 1.59-2.14; 10 SNPs) and 2.12 (95% CI: 1.80-2.50; 7 SNPs) was seen for the maximum vs the minimum number of risk alleles. Additionally, one of the examined SNPs (rs981782 in HCN1) had a protective effect that was significantly stronger in premenopausal women (P-value: 7.9 x 10(-4)).CONCLUSION: The strongly increasing risk seen when combining many low-penetrant risk alleles supports the polygenic inheritance model of breast cancer. British Journal of Cancer (2012) 106, 389-396. doi:10.1038/bjc.2011.461 www.bjcancer.com Published online 1 November 2011 (C) 2012 Cancer Research UK
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