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Associations of dietary intake, anthropometric measurements and depression among three birth cohorts of 70-year-olds examined 1992-2016 Authors: Jessica Samuelsson¹, Ingmar Skoog¹, Anna Zettergren¹, Elisabet Rothenberg², 1Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Sweden. ² Food and Meal Science, Kristianstad University, Kristianstad, Sweden Abstract Objectives: To examine associations between dietary intakes, anthropometric measurements and depression among three samples of 70-year-olds examined 1992-93 (birth cohort 1922), 2000-02 (birth cohort 1930) and 2014-16 (birth cohort 1944). Methods: Data was derived from the Longitudinal Gerontological and Geriatric Population Study in Gothenburg, Sweden and the Population Study of Women in Gothenburg. A total of 1524 individuals participated in both the psychiatric and the dietary examination (60% women and 40 % men). Major depression was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Minor depression was diagnosed according to DSM-IV-TR research criteria. Dietary intake was determined by the diet history method, estimating food intake during the preceding three months. Height, body weight and BMI were also determined. Linear regressions were calculated and analyses were adjusted for gender. Results: In the 1992-93 examination (including only women) 19% were diagnosed with either major or minor depression, 13% (9% of the men and 15% of the women) in the 2000-02 examination were diagnosed with either major or minor depression and 8% (6 % of the men and 9% of the women) were diagnosed with either major or minor depression in the 2014-16 examination. There were no significant associations between depression and energy- and nutrient intake, height, weight and BMI among women examined 1992-93. There were significan

ESPEN 2018 Abstract Submission Topic: Nutritional epidemiology Abstract Submission Identifier: ESPEN18-ABS-1511 ALCOHOL AND DIETARY INTAKE AMONG 70-YEAR-OLDS – RESULTS FROM THE GOTHENBURG H70 BIRTH COHORT STUDIES J. Samuelsson*, 1, A. Zettergren 1, E. Rothenberg 2, F. Ahlner 1, I. Skoog 1 1Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, 2Food and Meal Science, Kristianstad University, Kristianstad, Sweden Rationale: A higher intake of alcohol has been associated with a lower quality of diet. There are indications that alcohol consumption is increasing in older adults, but studies examining the relation between alcohol and dietary patterns in older adults are limited. We aim to investigate the relation between diet quality and alcohol intake in two samples of 70-year-olds examined 2000-02 and 2014-16. Methods: Data was derived from the Gothenburg H70 Birth Cohort Studies and the Population Study of Women in Gothenburg, Sweden. A total of 1415 individuals participated in the dietary examinations (56% women). Alcohol and dietary intake was determined by the diet history method, estimating total food intake during the preceding three months. Determinants of a high quality diet and values of high and low alcohol intake were based on the Nordic Nutrition Recommendations 2012. Relations between alcohol consumption and dietary intake were investigated, within each birth cohort stratified by sex, using linear regressions adjusted for energy and BMI. Results: Alcohol intake has increased (p=< 0, 05), 15% of the women and 21% of the men had a higher alcohol intake in the 2000-02 examination and 33% of the women and 32% of the men had a higher intake in the 2014- 16 examination. There were less dietary intake differences in women within both birth cohorts, but the results indicate that men and women

BACKGROUND: This study aimed to identify biomarkers for estimating the overall and prostate cancer (PCa)-specific survival in PCa patients at diagnosis. METHODS: To explore the importance of embryonic stem cell (ESC) gene signatures, we identified 641 ESC gene predictors (ESCGPs) using published microarray data sets. ESCGPs were selected in a stepwise manner, and were combined with reported genes. Selected genes were analyzed by multiplex quantitative polymerase chain reaction using prostate fine-needle aspiration samples taken at diagnosis from a Swedish cohort of 189 PCa patients diagnosed between 1986 and 2001. Of these patients, there was overall and PCa-specific survival data available for 97.9%, and 77.9% were primarily treated by hormone therapy only. Univariate and multivariate Cox proportional hazard ratios and Kaplan-Meier plots were used for the survival analysis, and a k-nearest neighbor (kNN) algorithm for estimating overall survival. RESULTS: An expression signature of VGLL3, IGFBP3 and F3 was shown sufficient to categorize the patients into high-, intermediate- and low-risk subtypes. The median overall survival times of the subtypes were 3.23, 4.00 and 9.85 years, respectively. The difference corresponded to hazard ratios of 5.86 (95% confidence interval (CI): 2.91-11.78, P<0.001) for the high-risk subtype and 3.45 (95% CI: 1.79-6.66, P<0.001) for the intermediate-risk compared with the low-risk subtype. The kNN models that included the gene expression signature outperformed the one designed on clinical parameters alone. CONCLUSIONS: The expression signature can potentially be used to estimate overall survival time. When validated in future studies, it could be integrated in the routine clinical diagnostic and prognostic procedure of PCa for an optimal treatment decision based on the estimated survival benefit.

BACKGROUND: This study aimed to identify biomarkers for estimating the overall and prostate cancer (PCa)-specific survival in PCa patients at diagnosis. METHODS: To explore the importance of embryonic stem cell (ESC) gene signatures, we identified 641 ESC gene predictors (ESCGPs) using published microarray data sets. ESCGPs were selected in a stepwise manner, and were combined with reported genes. Selected genes were analyzed by multiplex quantitative polymerase chain reaction using prostate fine-needle aspiration samples taken at diagnosis from a Swedish cohort of 189 PCa patients diagnosed between 1986 and 2001. Of these patients, there was overall and PCa-specific survival data available for 97.9%, and 77.9% were primarily treated by hormone therapy only. Univariate and multivariate Cox proportional hazard ratios and Kaplan-Meier plots were used for the survival analysis, and a k-nearest neighbor (kNN) algorithm for estimating overall survival. RESULTS: An expression signature of VGLL3, IGFBP3 and F3 was shown sufficient to categorize the patients into high-, intermediate- and low-risk subtypes. The median overall survival times of the subtypes were 3.23, 4.00 and 9.85 years, respectively. The difference corresponded to hazard ratios of 5.86 (95% confidence interval (CI): 2.91-11.78, P<0.001) for the high-risk subtype and 3.45 (95% CI: 1.79-6.66, P<0.001) for the intermediate-risk compared with the low-risk subtype. The kNN models that included the gene expression signature outperformed the one designed on clinical parameters alone. CONCLUSIONS: The expression signature can potentially be used to estimate overall survival time. When validated in future studies, it could be integrated in the routine clinical diagnostic and prognostic procedure of PCa for an optimal treatment decision based on the estimated survival benefit.

BACKGROUND: This study aimed to identify biomarkers for estimating the overall and prostate cancer (PCa)-specific survival in PCa patients at diagnosis. METHODS: To explore the importance of embryonic stem cell (ESC) gene signatures, we identified 641 ESC gene predictors (ESCGPs) using published microarray data sets. ESCGPs were selected in a stepwise manner, and were combined with reported genes. Selected genes were analyzed by multiplex quantitative polymerase chain reaction using prostate fine-needle aspiration samples taken at diagnosis from a Swedish cohort of 189 PCa patients diagnosed between 1986 and 2001. Of these patients, there was overall and PCa-specific survival data available for 97.9%, and 77.9% were primarily treated by hormone therapy only. Univariate and multivariate Cox proportional hazard ratios and Kaplan-Meier plots were used for the survival analysis, and a k-nearest neighbor (kNN) algorithm for estimating overall survival. RESULTS: An expression signature of VGLL3, IGFBP3 and F3 was shown sufficient to categorize the patients into high-, intermediate- and low-risk subtypes. The median overall survival times of the subtypes were 3.23, 4.00 and 9.85 years, respectively. The difference corresponded to hazard ratios of 5.86 (95% confidence interval (CI): 2.91-11.78, P<0.001) for the high-risk subtype and 3.45 (95% CI: 1.79-6.66, P<0.001) for the intermediate-risk compared with the low-risk subtype. The kNN models that included the gene expression signature outperformed the one designed on clinical parameters alone. CONCLUSIONS: The expression signature can potentially be used to estimate overall survival time. When validated in future studies, it could be integrated in the routine clinical diagnostic and prognostic procedure of PCa for an optimal treatment decision based on the estimated survival benefit.

BACKGROUND: This study aimed to identify biomarkers for estimating the overall and prostate cancer (PCa)-specific survival in PCa patients at diagnosis. METHODS: To explore the importance of embryonic stem cell (ESC) gene signatures, we identified 641 ESC gene predictors (ESCGPs) using published microarray data sets. ESCGPs were selected in a stepwise manner, and were combined with reported genes. Selected genes were analyzed by multiplex quantitative polymerase chain reaction using prostate fine-needle aspiration samples taken at diagnosis from a Swedish cohort of 189 PCa patients diagnosed between 1986 and 2001. Of these patients, there was overall and PCa-specific survival data available for 97.9%, and 77.9% were primarily treated by hormone therapy only. Univariate and multivariate Cox proportional hazard ratios and Kaplan-Meier plots were used for the survival analysis, and a k-nearest neighbor (kNN) algorithm for estimating overall survival. RESULTS: An expression signature of VGLL3, IGFBP3 and F3 was shown sufficient to categorize the patients into high-, intermediate- and low-risk subtypes. The median overall survival times of the subtypes were 3.23, 4.00 and 9.85 years, respectively. The difference corresponded to hazard ratios of 5.86 (95% confidence interval (CI): 2.91-11.78, P<0.001) for the high-risk subtype and 3.45 (95% CI: 1.79-6.66, P<0.001) for the intermediate-risk compared with the low-risk subtype. The kNN models that included the gene expression signature outperformed the one designed on clinical parameters alone. CONCLUSIONS: The expression signature can potentially be used to estimate overall survival time. When validated in future studies, it could be integrated in the routine clinical diagnostic and prognostic procedure of PCa for an optimal treatment decision based on the estimated survival benefit.

BACKGROUND: This study aimed to identify biomarkers for estimating the overall and prostate cancer (PCa)-specific survival in PCa patients at diagnosis. METHODS: To explore the importance of embryonic stem cell (ESC) gene signatures, we identified 641 ESC gene predictors (ESCGPs) using published microarray data sets. ESCGPs were selected in a stepwise manner, and were combined with reported genes. Selected genes were analyzed by multiplex quantitative polymerase chain reaction using prostate fine-needle aspiration samples taken at diagnosis from a Swedish cohort of 189 PCa patients diagnosed between 1986 and 2001. Of these patients, there was overall and PCa-specific survival data available for 97.9%, and 77.9% were primarily treated by hormone therapy only. Univariate and multivariate Cox proportional hazard ratios and Kaplan-Meier plots were used for the survival analysis, and a k-nearest neighbor (kNN) algorithm for estimating overall survival. RESULTS: An expression signature of VGLL3, IGFBP3 and F3 was shown sufficient to categorize the patients into high-, intermediate- and low-risk subtypes. The median overall survival times of the subtypes were 3.23, 4.00 and 9.85 years, respectively. The difference corresponded to hazard ratios of 5.86 (95% confidence interval (CI): 2.91-11.78, P<0.001) for the high-risk subtype and 3.45 (95% CI: 1.79-6.66, P<0.001) for the intermediate-risk compared with the low-risk subtype. The kNN models that included the gene expression signature outperformed the one designed on clinical parameters alone. CONCLUSIONS: The expression signature can potentially be used to estimate overall survival time. When validated in future studies, it could be integrated in the routine clinical diagnostic and prognostic procedure of PCa for an optimal treatment decision based on the estimated survival benefit.

Background The oestrogen receptor (ER) co-activator amplified in breast cancer 1 (AIB1) has been suggested as a treatment predictive and prognostic marker in breast cancer. Studies have however not been unanimous. Patients and methods AIB1 protein expression was analysed by immunohistochemistry on tissue micro-arrays with tumour samples from 910 postmenopausal women randomised to tamoxifen treatment or no adjuvant treatment. Associations between AIB1 expression, clinical outcome in the two arms and other clinicopathological variables were examined. Results In patients with ER-positive breast cancer expressing low tumour levels of AIB1 (<75%), we found no significant difference in recurrence-free survival (RFS) or breast cancer-specific survival (BCS) between tamoxifen treated and untreated patients. In patients with high AIB1 expression (>75%), there was a significant decrease in recurrence rate (HR 0.40, 95% CI 0.26–0.61, P < 0.001) and breast cancer mortality rate (HR 0.38, 95% CI 0.21–0.69, P = 0.0015) with tamoxifen treatment. In the untreated arm, we found high expression of AIB1 to be significantly associated with lower RFS (HR 1.74, 95% CI 1.20–2.53, P = 0.0038). Conclusion Our results suggest that high AIB1 is a predictive marker of good response to tamoxifen treatment in postmenopausal women and a prognostic marker of decreased RFS in systemically untreated patients., Funding Agencies|Swedish Cancer Society|110504|Swedish Research Council|B0771901

Background The oestrogen receptor (ER) co-activator amplified in breast cancer 1 (AIB1) has been suggested as a treatment predictive and prognostic marker in breast cancer. Studies have however not been unanimous. Patients and methods AIB1 protein expression was analysed by immunohistochemistry on tissue micro-arrays with tumour samples from 910 postmenopausal women randomised to tamoxifen treatment or no adjuvant treatment. Associations between AIB1 expression, clinical outcome in the two arms and other clinicopathological variables were examined. Results In patients with ER-positive breast cancer expressing low tumour levels of AIB1 (<75%), we found no significant difference in recurrence-free survival (RFS) or breast cancer-specific survival (BCS) between tamoxifen treated and untreated patients. In patients with high AIB1 expression (>75%), there was a significant decrease in recurrence rate (HR 0.40, 95% CI 0.26–0.61, P < 0.001) and breast cancer mortality rate (HR 0.38, 95% CI 0.21–0.69, P = 0.0015) with tamoxifen treatment. In the untreated arm, we found high expression of AIB1 to be significantly associated with lower RFS (HR 1.74, 95% CI 1.20–2.53, P = 0.0038). Conclusion Our results suggest that high AIB1 is a predictive marker of good response to tamoxifen treatment in postmenopausal women and a prognostic marker of decreased RFS in systemically untreated patients., Funding Agencies|Swedish Cancer Society|110504|Swedish Research Council|B0771901

Background The oestrogen receptor (ER) co-activator amplified in breast cancer 1 (AIB1) has been suggested as a treatment predictive and prognostic marker in breast cancer. Studies have however not been unanimous. Patients and methods AIB1 protein expression was analysed by immunohistochemistry on tissue micro-arrays with tumour samples from 910 postmenopausal women randomised to tamoxifen treatment or no adjuvant treatment. Associations between AIB1 expression, clinical outcome in the two arms and other clinicopathological variables were examined. Results In patients with ER-positive breast cancer expressing low tumour levels of AIB1 (<75%), we found no significant difference in recurrence-free survival (RFS) or breast cancer-specific survival (BCS) between tamoxifen treated and untreated patients. In patients with high AIB1 expression (>75%), there was a significant decrease in recurrence rate (HR 0.40, 95% CI 0.26–0.61, P < 0.001) and breast cancer mortality rate (HR 0.38, 95% CI 0.21–0.69, P = 0.0015) with tamoxifen treatment. In the untreated arm, we found high expression of AIB1 to be significantly associated with lower RFS (HR 1.74, 95% CI 1.20–2.53, P = 0.0038). Conclusion Our results suggest that high AIB1 is a predictive marker of good response to tamoxifen treatment in postmenopausal women and a prognostic marker of decreased RFS in systemically untreated patients., Funding Agencies|Swedish Cancer Society|110504|Swedish Research Council|B0771901

Background The oestrogen receptor (ER) co-activator amplified in breast cancer 1 (AIB1) has been suggested as a treatment predictive and prognostic marker in breast cancer. Studies have however not been unanimous. Patients and methods AIB1 protein expression was analysed by immunohistochemistry on tissue micro-arrays with tumour samples from 910 postmenopausal women randomised to tamoxifen treatment or no adjuvant treatment. Associations between AIB1 expression, clinical outcome in the two arms and other clinicopathological variables were examined. Results In patients with ER-positive breast cancer expressing low tumour levels of AIB1 (<75%), we found no significant difference in recurrence-free survival (RFS) or breast cancer-specific survival (BCS) between tamoxifen treated and untreated patients. In patients with high AIB1 expression (>75%), there was a significant decrease in recurrence rate (HR 0.40, 95% CI 0.26–0.61, P < 0.001) and breast cancer mortality rate (HR 0.38, 95% CI 0.21–0.69, P = 0.0015) with tamoxifen treatment. In the untreated arm, we found high expression of AIB1 to be significantly associated with lower RFS (HR 1.74, 95% CI 1.20–2.53, P = 0.0038). Conclusion Our results suggest that high AIB1 is a predictive marker of good response to tamoxifen treatment in postmenopausal women and a prognostic marker of decreased RFS in systemically untreated patients., Funding Agencies|Swedish Cancer Society|110504|Swedish Research Council|B0771901

Background The oestrogen receptor (ER) co-activator amplified in breast cancer 1 (AIB1) has been suggested as a treatment predictive and prognostic marker in breast cancer. Studies have however not been unanimous. Patients and methods AIB1 protein expression was analysed by immunohistochemistry on tissue micro-arrays with tumour samples from 910 postmenopausal women randomised to tamoxifen treatment or no adjuvant treatment. Associations between AIB1 expression, clinical outcome in the two arms and other clinicopathological variables were examined. Results In patients with ER-positive breast cancer expressing low tumour levels of AIB1 (<75%), we found no significant difference in recurrence-free survival (RFS) or breast cancer-specific survival (BCS) between tamoxifen treated and untreated patients. In patients with high AIB1 expression (>75%), there was a significant decrease in recurrence rate (HR 0.40, 95% CI 0.26–0.61, P < 0.001) and breast cancer mortality rate (HR 0.38, 95% CI 0.21–0.69, P = 0.0015) with tamoxifen treatment. In the untreated arm, we found high expression of AIB1 to be significantly associated with lower RFS (HR 1.74, 95% CI 1.20–2.53, P = 0.0038). Conclusion Our results suggest that high AIB1 is a predictive marker of good response to tamoxifen treatment in postmenopausal women and a prognostic marker of decreased RFS in systemically untreated patients., Funding Agencies|Swedish Cancer Society|110504|Swedish Research Council|B0771901

Background The oestrogen receptor (ER) co-activator amplified in breast cancer 1 (AIB1) has been suggested as a treatment predictive and prognostic marker in breast cancer. Studies have however not been unanimous. Patients and methods AIB1 protein expression was analysed by immunohistochemistry on tissue micro-arrays with tumour samples from 910 postmenopausal women randomised to tamoxifen treatment or no adjuvant treatment. Associations between AIB1 expression, clinical outcome in the two arms and other clinicopathological variables were examined. Results In patients with ER-positive breast cancer expressing low tumour levels of AIB1 (<75%), we found no significant difference in recurrence-free survival (RFS) or breast cancer-specific survival (BCS) between tamoxifen treated and untreated patients. In patients with high AIB1 expression (>75%), there was a significant decrease in recurrence rate (HR 0.40, 95% CI 0.26–0.61, P < 0.001) and breast cancer mortality rate (HR 0.38, 95% CI 0.21–0.69, P = 0.0015) with tamoxifen treatment. In the untreated arm, we found high expression of AIB1 to be significantly associated with lower RFS (HR 1.74, 95% CI 1.20–2.53, P = 0.0038). Conclusion Our results suggest that high AIB1 is a predictive marker of good response to tamoxifen treatment in postmenopausal women and a prognostic marker of decreased RFS in systemically untreated patients., Funding Agencies|Swedish Cancer Society|110504|Swedish Research Council|B0771901

STUDY QUESTION: What are the diagnostic benefits of using ultrasound in patients with a clinical suspicion of acute salpingitis and signs of pelvic inflammatory disease (PID)? SUMMARY ANSWER: In patients with a clinical suspicion of acute salpingitis, the absence of bilateral adnexal masses at ultrasound decreases the odds of mild-to-severe acute salpingitis about five times, while the presence of bilateral adnexal masses increases the odds about five times. WHAT IS KNOWN ALREADY: PID is difficult to diagnose because the symptoms are often subtle and mild. The diagnosis is usually based on clinical findings, and these are unspecific. The sensitivity and specificity of ultrasound with regard to salpingitis have been reported in one study (n = 30) of appropriate design, where most patients had severe salpingitis (i.e. pyosalpinx) or tubo-ovarian abscess. STUDY DESIGN, SIZE, DURATION: This diagnostic test study included 52 patients fulfilling the clinical criteria of PID. Patients were recruited between October 1999 and August 2008. PARTICIPANTS/MATERIALS, SETTING, METHODS: The patients underwent a standardized transvaginal gray scale and Doppler ultrasound examination by one experienced sonologist (index test) before diagnostic laparoscopy by a laparoscopist blinded to the ultrasound results. The final diagnosis was determined by laparoscopy, histology of the endometrium and other histology where relevant (reference standard). MAIN RESULTS AND THE ROLE OF CHANCE: Of the 52 patients, 23 (44%) had a final diagnosis unrelated to genital infection, while the other 29 had cervicitis (n = 3), endometritis (n = 9) or salpingitis (n = 17; mild n = 4, moderate n = 8, severe, i.e. pyosalpinx n = 5). Bilateral adnexal masses and bilateral masses lying adjacent to the ovary were seen more often on ultrasound in patients with salpingitis than with other diagnoses (bilateral adnexal masses: 82 versus 17%, i.e. 14/17 versus 6/35, P = 0.000, positive likelihood ratio 4.8, negative li

Purpose: To investigate the possible correlation between expression of HER2 and vascular endothelial growth factor (VEGF), and to determine the predictive value of these factors in patients receiving adjuvant endocrine therapy including the group with a breast cancer (BC) positive for both oestrogen receptor (ER) and progesterone receptor (PgR). Material and methods: By enzyme immuno-sorbent assays (ELISA) tumour levels of HER2 and VEGF proteins were determined in 679 consecutive primary BC patients, median age 63 years, median follow-up time 92 months. A total of 404 patients received adjuvant endocrine therapy, mainly tamoxifen, out of them 295 had an ER and PgR positive BC. In 160 patients, HER2 status was also determined by immunohistochemistry (IHC) using the monoclonal antibody CB11. Results: Overexpression of HER2 by IHC was found in 15% of the patients. Overexpression of HER2 by ELISA correlated with HER2 by IHC (P andlt; 0.001) and a higher VEGF expression (P = 0.004). Patients receiving adjuvant endocrine therapy with high VEGF (RFS P = 0.0087, BCCS P = 0.0012) or over-expressing HER2 (RFS P = 0.0116, BCCS P = 0.0036) had significantly shorter survival. Factors retaining statistical significance in multivariate analyses for recurrence-free survival (RFS) were nodal status (P andlt; 0.001), tumour size (P = 0.005) and VEGF (P = 0.032) and for breast cancer corrected survival (BCCS) nodal status (P andlt; 0.001), tumour size (P = 0.001), ER status (P = 0.022), and VEGF (P = 0.016). Both factors were significantly correlated with survival in the group with a BC positive for both ER and PgR; VEGF (RFS P = 0.0177, BCCS P = 0.0321) and HER2 (RFS P = 0.0143, BCCS P = 0.0311). In multivariate analyses, nodal status (P andlt; 0.001) and VEGF (P = 0.021) were independent factors for RFS. Nodal status (P andlt; 0.001) and tumour size (P = 0.016) retained independent factors for BCCS. Combined analysis identified a high-risk group (HER2 positive and high VEGF) with si

Background: The two-gene expression ratio HOXB13:IL17BR, originally from a microarray analysis, has been shown to be indicative of clinical outcome in the setting of adjuvant tamoxifen monotherapy of breast cancer, with a high ratio associated with decreased disease-free survival. Analysis of a cohort of breast cancer patients randomized to 2 or 5 years of adjuvant tamoxifen therapy showed that the two-gene ratio and expression of the HOXB13 gene alone were predictive of the benefit of prolonged tamoxifen treatment. Patients with tumors expressing HOXB13 at high levels were unresponsive to prolonged adjuvant treatment, suggesting that this gene is involved in tamoxifen resistance. It is suggested that a high two-gene ratio may indicate impaired ER signaling, which is known to predict resistance to tamoxifen. To our knowledge, there are no studies investigating the HOXB13 protein levels in breast cancer. Methods: We have analyzed the protein expression of HOXB13 with immunohistochemistry in tumor samples from 912 postmenopausal node negative breast cancer patients randomized to 2 years of tamoxifen or no endocrine treatment. After 2 years, recurrence-free patients were randomized to 3 more years of tamoxifen, or no further therapy. This selection enabled us to investigate the treatment predictive value of HOXB13. Results: Data on HOXB13 protein expression were obtained from 866 patients (see table). Tamoxifen treated patients with estrogen receptor (ER) positive tumors expressing none or low levels of HOXB13 had a clear benefit from tamoxifen in terms of longer distant recurrence-free survival (hazard ratio (HR) 0.37, 95% CI 0.23-0.60, p=0.000048). However, for patients with a high or intermediate HOXB13 tumor expression, tamoxifen did not prolong the distant recurrence-free survival compared to the untreated patients (HR=0.83, 95% CI 0.45-1.54, p=0.55). The interaction between HOXB13 expression and benefit from tamoxifen was statistically significant (p=0.046). HOXB

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BACKGROUND: Our aim was to use quantitative real-time PCR (Q-PCR) and RNA expression profiles (RNA-EPs) to investigate HER2 status in relation to outcome. PATIENTS AND METHODS: Cut-off levels for Q-PCR and RNA-EP were established in relation to immunohistochemistry (IHC) validated by FISH in a test set of frozen tissue samples from 40 primary breast cancers. The HER2 status was subsequently studied in another validation set of 306 tumors, where Q-PCR and RNA-EP results were compared with previously carried out IHC that we had validated by chromogenic in situ hybridization (CISH). RESULTS: Q-PCR and RNA-EP offered similar sensitivity (90% versus 77%), specificity (93% versus 95%), and negative (99% versus 98%) and positive (63% versus 61%) predictive values for HER2 determinations. Analyses of relapse-free survival (RFS) and overall survival on the basis of 5 and 10 years of follow-up indicated equivalent hazard ratios for all three techniques. In contrast to IHC/CISH, both Q-PCR and RNA-EP analyses of HER2 also gave statistically significant results regarding RFS and breast cancer-corrected survival after 10 years of follow-up. CONCLUSION: The use of RNA-EP and Q-PCR to analyze HER2 in frozen and formalin-fixed breast cancer samples may be an alternate approach to IHC in combination with FISH/CISH.

The 11q13 region is amplified in approximately 15% of all breast tumors. Situated in this region are the cyclin D1 gene (CCND1) and the p-21-activated kinase 1 (PAK1) gene. Both genes encode proteins shown to activate the estrogen receptor (ER), leading to transcription of CCND1 and other ER-responsive genes. Here, we investigate the prognostic and treatment predictive role of CCND1 and PAK1 gene amplification in postmenopausal breast cancer patients randomized to tamoxifen treatment or no adjuvant treatment. Amplification of CCND1 and PAK1, assessed by real-time PCR, was observed in 12.5 and 9.3%, respectively. Amplification of PAK1 was seen in 37% of the CCND1-amplified tumors, indicating coamplification (P<0.001). In ER-positive patients, amplification of at least one of the genes indicated a reduced recurrence-free survival (P=0.025). When response to tamoxifen treatment was analysed, patients with PAK1 amplification showed decreased benefit from the drug (ER+; relative risk ratio (RR)=1.62; 95% confidence interval (CI), 0.47-5.55) compared to patients without amplification (ER+; RR=0.53; 95% CI, 0.32-0.88). This was not evident for CCND1 amplification. We show that PAK1 may be a predictor of tamoxifen resistance and furthermore, we do not discard PAK1 as a potential candidate oncogene in the 11q13 amplicon. In addition, we show that high pak1 protein levels may predict tamoxifen insensitivity.