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- Tobin, Nicholas P., et al.
(författare)
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PAM50 provides prognostic information when applied to the lymph node metastases of advanced breast cancer patients
- 2017
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Ingår i: Clinical Cancer Research. - 1078-0432. ; 23:23, s. 7225-7231
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: Transcriptional pathway activity and the molecular subtypes of breast cancer metastases have been shown to significantly influence patient postrelapse survival. Here, we further determine the relevance of clinically employed gene signatures in the advanced breast cancer (ABC) setting. Experimental Design: Sufficient RNA for expression profiling was obtained from distant metastatic or inoperable locoregional relapse tissue by fine-needle aspiration from 109 patients of the Swedish TEX clinical trial. Gene signatures (GGI, 70 gene, recurrence score, cell-cycle score, risk of recurrence score, and PAM50) were applied to all metastases, and their relationship to long- (5-year) and short-term (1.5-year) postrelapse survival at all and locoregional lymph nodes (n = 40) versus other metastatic sites (n = 69) combined was assessed using Kaplan–Meier and/or multivariate Cox regression analyses. Results: The majority of metastases were classified into intermediate or high-risk groups by all signatures, and a significant association was found between metastatic signature subgroups and primary tumor estrogen receptor status and histologic grade (P < 0.05). When considering all sites of metastasis, only PAM50 was statistically significant in Kaplan–Meier analysis (Log-rank P = 0.008 and 0.008 for long- and short-term postrelapse breast cancer–specific survival, respectively). This significance remained in both uni- and multivariate models when restricting analyses to lymph node metastases only, and a similar trend was observed in other metastatic sites combined, but did not reach formal significance. Conclusions: Our findings are the first to demonstrate that the PAM50 signature can provide prognostic information from the lymph node metastases of ABC patients.
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- Trinh, T., et al.
(författare)
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Background risk of breast cancer influences the association between alcohol consumption and mammographic density
- 2015
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Ingår i: British Journal of Cancer. - : NATURE PUBLISHING GROUP. - 0007-0920 .- 1532-1827. ; 113:1, s. 159-165
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Tidskriftsartikel (refereegranskat)abstract
- Background: Alcohol consumption has been suggested to increase risk of breast cancer through a mechanism that also increases mammographic density. Whether the association between alcohol consumption and mammographic density is modified by background breast cancer risk has, however, not been studied. Methods: We conducted a population-based cross-sectional study of 53 060 Swedish women aged 40-74 years. Alcohol consumption was assessed using a web-based self-administered questionnaire. Mammographic density was measured using the fully-automated volumetric Volpara method. The Tyrer-Cuzick prediction model was used to estimate risk of developing breast cancer in the next 10 years. Linear regression models were used to evaluate the association between alcohol consumption and volumetric mammographic density and the potential influence of Tyrer-Cuzick breast cancer risk. Results: Overall, increasing alcohol consumption was associated with higher absolute dense volume (cm(3)) and per cent dense volume (%). The association between alcohol consumption and absolute dense volume was most pronounced among women with the highest (>= 5%) Tyrer-Cuzick 10-year risk. Among high-risk women, women consuming 5.0-9.9, 10.0-19.9, 20.0-29.9, and 30.0-40.0 g of alcohol per day had 2.6 cm(3) (95% confidence interval (CI), 0.2-4.9), 2.9 cm(3) (95% CI, -0.6 to 6.3), 4.6 cm(3) (95% CI, 1.5-7.7), and 10.8 cm(3) (95% CI, 4.8-17.0) higher absolute dense volume, respectively, as compared with women abstaining from alcohol. A trend of increasing alcohol consumption and higher absolute dense volume was seen in women at low (<= 3%) risk, but not in women at moderate (3.0-4.9%) risk. Conclusion: Alcohol consumption may increase breast cancer risk through increasing mammographic density, particularly in women at high background risk of breast cancer.
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