Figueiredo Jane C, Knight Julia A, Cho Stewart, Savas Sevtap, Onay U Venus, Briollais Laurent, Goodwin Pamela J, McLaughlin John R, Andrulis Irene L, Ozcelik Hilmi
Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
BMC Cancer. 2007 Jun 14;7:99. doi: 10.1186/1471-2407-7-99.
cMyc and p27 are key genes implicated in carcinogenesis. Whether polymorphisms in these genes affect breast cancer risk or prognosis is still unclear. In this study, we focus on a rare non-synonymous polymorphism in cMyc (N11S) and a common polymorphism in p27 (V109G) and determine their role in risk and prognosis using data collected from the Ontario Breast Cancer Family Registry.
Risk factor data was collected at baseline on a large group of women (cases = 1,115 and population-based controls = 710) and clinical data (including treatment and follow-up) were collected prospectively by periodic review of medical records for a subset of cases (N = 967) for nearly a decade. A centralized pathology review was conducted. Unconditional logistic regression was used to determine the association of polymorphisms with breast cancer risk and the Cox proportional hazards model was used to determine their association with survival.
Our results suggest that while cMyc-N11S can be considered a putatively functional polymorphism located in the N-terminal domain, it is not associated with risk, tumor characteristics or survival. The p27-G109 allele was associated with a modest protective effect in adjusted analyses and higher T stage. We found no evidence to suggest that p27-V109G alone or in combination with cMyc-N11S was associated with survival. Age at onset and first-degree family history of breast or ovarian cancer did not significantly modify the association of these polymorphisms with breast cancer risk.
Further work is recommended to understand the potential functional role of these specific non-synonymous amino acid changes and a larger, more comprehensive investigation of genetic variation in these genes (e.g., using a tagSNP approach) in combination with other relevant genes is needed as well as consideration for treatment effects when assessing their potential role in prognosis.
cMyc和p27是与致癌作用相关的关键基因。这些基因中的多态性是否会影响乳腺癌风险或预后仍不清楚。在本研究中,我们聚焦于cMyc中的一种罕见非同义多态性(N11S)和p27中的一种常见多态性(V109G),并利用从安大略省乳腺癌家族登记处收集的数据来确定它们在风险和预后中的作用。
在基线时收集了一大组女性的危险因素数据(病例 = 1115例,基于人群的对照 = 710例),并通过定期查阅近十年中一部分病例(N = 967例)的病历前瞻性收集临床数据(包括治疗和随访)。进行了集中的病理检查。采用无条件逻辑回归来确定多态性与乳腺癌风险的关联,采用Cox比例风险模型来确定它们与生存的关联。
我们的结果表明,虽然cMyc-N11S可被视为位于N端结构域的一种推定功能性多态性,但它与风险、肿瘤特征或生存无关。在调整分析中,p27-G109等位基因具有适度的保护作用且与更高的T分期相关。我们没有发现证据表明单独的p27-V109G或与cMyc-N11S联合与生存相关。发病年龄以及乳腺癌或卵巢癌的一级家族史并未显著改变这些多态性与乳腺癌风险的关联。
建议进一步开展工作以了解这些特定非同义氨基酸变化的潜在功能作用,需要对这些基因中的遗传变异进行更大规模、更全面的研究(例如使用标签单核苷酸多态性方法),并结合其他相关基因,同时在评估它们在预后中的潜在作用时考虑治疗效果。