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1.
  • Nilsson, Cecilia, et al. (författare)
  • Molecular subtyping of male breast cancer using alternative definitions and its prognostic impact
  • 2013
  • Ingår i: Acta Oncologica. - 0284-186X .- 1651-226X. ; 52:1, s. 102-109
  • Tidskriftsartikel (refereegranskat)abstract
    • Background. Male breast cancer (MBC) is an uncommon disease and there is limited information on the prognostic impact of routinely used clinicopathological parameters.Material and methods.In a retrospective setting, we reviewed 197 MBC patients with accessible paraffin-embedded tumor tissue and clinicopathological data. Immunohistochemical (IHC) stainings were performed on tissue microarrays and histological grading on conventional slides. Cox proportional regression models were applied for uni- and multivariate analyses using breast cancer death as the event.Results. Estrogen receptor (ER) and progesterone receptor positivity were demonstrated in 93% and 77% of patients, respectively. Nottingham histologic grade (NHG) III was seen in 41% and HER2 positivity in 11%. Classification into molecular subtypes using IHC markers according to three alternative definitions revealed luminal A and luminal B in 81% vs. 11%; 48% vs. 44% and 41% vs. 42% of cases. Two cases of basal-like were identified, but no cases of HER2-like. Factors associated with an increased risk of breast cancer death were node positivity (HR 4.5; 95% CI 1.8-11.1), tumor size > 20 mm (HR 3.3; 95% CI 1.4-7.9) and ER negativity (HR 10.9; 95% CI 3.2-37.9). No difference in breast cancer death between the luminal subgroups was demonstrated, regardless of definition.Conclusion.MBC tumors were more often of high grade, whereas HER2 overexpression was as frequent as in FBC. Lymph nodes, tumor size and ER status were independent predictors of breast cancer death. The prognostic impact of molecular subtyping in MBC seems to differ from that previously established in FBC.
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2.
  • Zhou, Wenjing, et al. (författare)
  • A Comparison of Tumor Biology in Primary Ductal Carcinoma In Situ Recurring as Invasive Carcinoma versus a New In Situ
  • 2013
  • Ingår i: International Journal of Breast Cancer. - 2090-3170 .- 2090-3189. ; 2013, s. 582134
  • Tidskriftsartikel (refereegranskat)abstract
    • IntroductionAbout half of all new ipsilateral events after a primary ductal carcinoma in situ (DCIS) are invasive carcinoma. We studied tumor markers in the primary DCIS in relation to type of event (invasive versus in situ).MethodsTwo hundred and sixty-six women with a primary DCIS from two source populations, all with a known ipsilateral event, were included. All new events were regarded as recurrences. Patient and primary tumor characteristics (estrogen receptor (ER), progesterone receptor (PR), HER2, EGFR, and Ki67) were evaluated. Logistic regression was used to calculate odd ratios and 95% confidence intervals in univariate and multivariate analyses.ResultsOne hundred and thirty-six of the recurrences were invasive carcinoma and 130 were in situ. The recurrence was more often invasive if the primary DCIS was ER+ (OR 2.5, 95% CI 1.2-5.1). Primary DCIS being HER2+ (OR 0.5, 95% CI 0.3-0.9), EGFR+ (OR 0.4, 95% CI 0.2-0.9), and ER95-/HER2+ (OR 0.2, 95% CI 0.1-0.6) had a lower risk of a recurrence being invasive.ConclusionsIn this study, comparing type of recurrence after a DCIS showed that the ER-/HER2+ tumors were related to a recurrence being a new DCIS. And surprisingly, tumors being ER+, HER2-, and EGFR- were related to a recurrence being invasive cancer.
3.
  • Zhou, Wenjing, et al. (författare)
  • Molecular subtypes in ductal carcinoma in situ of the breast and their relation to prognosis a population-based cohort study
  • 2013
  • Ingår i: BMC Cancer. - 1471-2407 .- 1471-2407. ; 13, s. 512
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Different molecular subtypes of breast cancer have been identified based on gene expression profiling. Treatment suggestions based on an approximation of these subtypes by immunohistochemical criteria have been published by the St Gallen international expert consensus panel. Ductal carcinoma in situ (DCIS) can be classified into the same molecular subtypes. Our aim was to study the relation between these newly defined subtypes and prognosis in DCIS.METHODS: TMA including 458 women from a population-based cohort with DCIS diagnosed 1986-2004 was used. Stainings for ER, PR, HER2 and Ki67 were used to classify the surrogate molecular subtypes according to the St Gallen criteria from 2011. The associations with prognosis were examined using Kaplan-Meier analyses and Cox proportional hazards regression models.RESULTS: Surrogate molecular subtyping could be done in 381 cases. Mean follow up was 164 months. Of the classified DCIS 186 were Luminal A (48.8%), 33 Luminal B/HER2- (8.7%), 74 Luminal B/HER2+ (17.4%), 61 HER2+/ER- (16.0%) and 27 Triple Negative (7.1%). One hundred and two women had a local recurrence of which 58 were invasive. Twenty-two women had generalised disease, 8 without a prior local recurrence. We could not find a prognostic significance of the molecular subtypes other than a higher risk of developing breast cancer after more than 10 years of follow-up among women with a Triple Negative DCIS (OR 3.2; 95% CI 1.1-9.8).CONCLUSIONS: The results from this large population-based cohort, with long-term follow up failed to demonstrate a prognostic value for the surrogate molecular subtyping of DCIS using the St Gallen criteria up to ten years after diagnosis. More than ten years after diagnosis Triple Negative DCIS had an elevated risk of recurrence.
4.
  • Aaltonen, Kirsimari, et al. (författare)
  • Reliability of cyclin A assessment on tissue microarrays in breast cancer compared to conventional histological slides
  • 2006
  • Ingår i: British Journal of Cancer. - 0007-0920 .- 1532-1827. ; 94:11, s. 1697-1702
  • Tidskriftsartikel (refereegranskat)abstract
    • Cyclin A has in some studies been associated with poor breast cancer survival, although all studies have not confirmed this. Its prognostic significance in breast cancer needs evaluation in larger studies. Tissue microarray (TMA) technique allows a simultaneous analysis of large amount of tumours on a single microscopic slide. This makes a rapid screening of molecular markers in large amount of tumours possible. Because only a small tissue sample of each tumour is punched on an array, the question has arisen about the representativeness of TMA when studying markers that are expressed in only a small proportion of cells. For this reason, we wanted to compare cyclin A expression on TMA and on traditional large sections. Two breast cancer TMAs were constructed of 200 breast tumours diagnosed between 1997-1998. TMA slides and traditional large section slides of these 200 tumours were stained with cyclin A antibody and analysed by two independent readers. The reproducibility of the two readers' results was good or even very good, with kappa values 0.71-0.87. The agreement of TMA and large section results was good with kappa value 0.62-0.75. Cyclin A overexpression was significantly (P<0.001) associated with oestrogen receptor and progesterone receptor negativity and high grade both on TMA and large sections. Cyclin A overexpression was significantly associated with poor metastasis-free survival both on TMA and large sections. The relative risks for metastasis were similar on TMA and large sections. This study suggests that TMA technique could be useful to study histological correlations and prognostic significance of cyclin A on breast cancer on a large scale.
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5.
  • Ahlin, Cecilia, et al. (författare)
  • Cyclin A is a proliferative marker with good prognostic value in node-negative breast cancer
  • 2009
  • Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - 1055-9965 .- 1538-7755. ; 18:9, s. 2501-2506
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Proliferative markers are not recommended as prognostic   factors for clinical use in breast cancer due to lack of   standardization in methodology. However, proliferation is driving   several gene expression signatures emphasizing the need for a reliable   proliferative marker IF or clinical use. Studies suggest that cyclin A   is a prognostic marker with satisfying reproducibility. We investigated   cyclin A as a prognostic marker in node-negative breast cancer using   previously defined cutoff values.   Patients and Methods: In a case-control study, we defined 190 women who   died from breast cancer as cases and 190 women alive at the time for   the corresponding case's death as controls. Inclusion criteria were   tumor size <= 50 mm, no lymph node metastases and no adjuvant   chemotherapy. Tumor tissues were immunostained for cyclin A using   commercially available antibodies.   Results: We found a statistically significant association between   expression of cyclin A and breast cancer death in a univariate model:   odds ratio for cyclin A(ave) 2.7 [95% confidence interval (CI),   1.7-4.3] and cyclin A(max) 3.4 (CI, 2.1-5.5). Corresponding odds ratio   for Ki67 were Ki67(ave) 1.9 (CI, 1.2-3.1) and Ki67(max) 1.7 (CI,   1.1-2.7) and for grade 3.1 (CI, 1.8-5.1). Cyclin A was strongly   correlated to Ki67 and grade why a model including all was not   appropriate.   Conclusions: Cyclin A is a prognostic factor for breast cancer death in   node-negative patients using standardized methodology regarding scoring   and cutoff values. Adding cyclin A as a proliferative marker to established clinicopathologic factors will improve the separation of  low and high risk breast cancer.
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9.
  • Ahlin, Cecilia, et al. (författare)
  • Ki67 and cyclin A as prognostic factors in early breast cancer : What are the optimal cut-off values?
  • 2007
  • Ingår i: Histopathology. - 0309-0167 .- 1365-2559. ; 51:4, s. 491-498
  • Tidskriftsartikel (refereegranskat)abstract
    • AIMS: To find the optimal cut-off values for cyclin A and Ki67 in early breast cancer tumours and to evaluate their prognostic values. METHODS AND RESULTS: Tissue microarray (TMA) slides were constructed from 570 T1-4 N0-1 M0 breast cancer tumours. The TMA slides were stained for cyclin A and Ki67 using immunohistochemistry with commercial antibodies. To investigate the optimal cut-off values for cyclin A, Ki67 average and maximum values the material was split into two parts at cut-offs defined by dividing it into deciles. For each cut-off value the relative risk (RR) for metastasis-free survival (MFS) and overall survival (OS) was calculated comparing patients with high versus low cyclin A or Ki67 expression. When using a cut-off value around the seventh decile, cyclin A and Ki67 score correlated with the highest RR ratio for MFS in the chemotherapy-naïve subgroup. Among patients having received adjuvant chemotherapy, no statistically significant differences in MFS or OS were found. CONCLUSIONS: The optimal cut-off value for cyclin A average is 8% and for cyclin A maximum value 11%; for Ki67 the corresponding values are 15% and 22%. Additional studies are needed to verify these results.
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