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Featured researches published by Maria Henningson.


British Journal of Cancer | 2011

Androgen receptor genotypes predict response to endocrine treatment in breast cancer patients.

Kristina Lundin; Maria Henningson; Maria Hietala; Christian Ingvar; Carsten Rose; Helena Jernström

Background:The androgen receptor (AR) is frequently expressed in breast cancers. The AR genotype may affect disease-free survival and response to endocrine therapy.Methods:In all, 634 women undergoing breast cancer surgery between 2002 and 2008 were followed until 30 June 2010. Six haplotype-tagging single-nucleotide polymorphisms in the AR, and the resulting AR diplotypes, were examined in relation to breast cancer patient characteristics, tumour characteristics, disease-free survival, and response to endocrine treatment.Results:Five common AR diplotypes were found. Seventeen rare variants were combined into a composite group. The resulting six AR diplotype groups were clustered into two subgroups, groups A (n=128) and B (n=499), with three diplotypes in each. Patients in group B had larger total breast volume (P=0.024), higher body mass index (BMI) (P=0.050), more axillary lymph node involvement (Ptrend=0.020), and higher histological grade (Ptrend=0.031). There were 59 breast cancer events in the 569 patients with invasive cancers and no preoperative treatment. Patients in group B also had shorter disease-free survival (P=0.037) than patients in group A. Among patients in group B with oestrogen receptor α positive tumours, tamoxifen (TAM) treatment was associated with longer disease-free survival (P=0.008), while treatment with aromatase inhibitors (AIs) was not (P=0.94). Response to endocrine treatment could not be predicted based on BMI, suggesting that the effect of AR diplotypes went beyond that of a higher BMI.Conclusion:A marker for a group of patients who responded to TAM, but not to AIs, was identified. If this finding is confirmed, AR genotyping may provide useful information for selection of endocrine treatment of breast cancer patients.


Cancer Prevention Research | 2012

Clinical Profiles Predict Early Nonadherence to Adjuvant Endocrine Treatment in a Prospective Breast Cancer Cohort

Andrea Markkula; Maria Hietala; Maria Henningson; Christian Ingvar; Carsten Rose; Helena Jernström

Nonadherence to adjuvant endocrine breast cancer treatment adversely affects disease-free and overall survival. Clinical predictors of nonadherence may allow for specific interventions to reduce nonadherence and improve survival. The aim was to investigate whether clinical characteristics predict nonadherence. Clinical characteristics and information on adherence were obtained from 417 patients with breast cancer in a population-based prospective cohort from southern Sweden using patient charts, pathology reports, and questionnaires filled out at the 1- and 2-year follow-up visits. At the 1- and 2-year follow-up visits, 36 (8.6%) and 33 (9.7%) patients were nonadherent, respectively. Thirteen of the nonadherent patients declined treatment and were never prescribed endocrine treatment. A body mass index (BMI) < 25 kg/m2, preoperative current smoking, and drinking alcohol less often than twice a month predicted nonadherence at the 1-year [relative risk (RR), 5.24; 95% confidence interval (CI), 2.75–9.97] and the 2-year visits (RR, 4.07; 95% CI, 2.11–7.84) in patients with at least two of these clinical characteristics. When low histologic grade (I) was added to the model, having at least two of these four clinical characteristics predicted nonadherence at the 1-year (RR, 4.94; 95% CI, 2.46–10.00) and the 2-year visits (RR, 4.74; 95% CI, 2.28–9.87), the two profiles had a sensitivity ranging from 60.6% to 72.7%, whereas the specificity ranged from 68.0% to 78.4%. Nonadherence at the 1-year visit was associated with an increased risk for early breast cancer events (HR, 2.97; 95% CI, 1.08–8.15), adjusted for age and tumor characteristics. In conclusion, two clinical profiles predicted early nonadherence and may allow for targeted interventions to increase adherence if validated in an independent cohort. Cancer Prev Res; 5(5); 735–45. ©2012 AACR.


British Journal of Cancer | 2008

Coffee intake and CYP1A2*1F genotype predict breast volume in young women: implications for breast cancer

Helena Jernström; Maria Henningson; Ulla Johansson; Håkan Olsson

As breast volume may be associated with heart cancer risk, we studied the relationship between breast volume, CYP1A2*1F and coffee intake. Among healthy premenopausal non-hormone users, 3+ cups per day was associated with lower volume only in C-allele carriers (Pinteraction=0.02), which is consistent with reports that coffee protects only C-allele carriers against breast cancer.


Acta Oncologica | 2011

Natural remedy use in a prospective cohort of breast cancer patients in southern Sweden.

Maria Hietala; Maria Henningson; Christian Ingvar; Per-Ebbe Jönsson; Carsten Rose; Helena Jernström

Abstract Background. Complementary and alternative medicine (CAM) use is common among breast cancer patients. Several CAM therapies may have negative side effects or interact with conventional therapies. We studied biologically based CAM use with and without vitamins/minerals in relation to patient and tumor characteristics as well as treatment in an ongoing prospective cohort of 855 primary breast cancer patients. Methods. Patients from two hospitals in southern Sweden were included. Pre-operative and follow-up questionnaires containing questions on food intake, lifestyle, and concomitant medications, including natural remedies, were completed up to five years postoperatively. Clinical information was obtained from clinical records and tumor characteristics from pathology reports. Results. CAM and/or vitamins/minerals were used by 34.2% pre-operatively and by 57.9% during at least one visit. Over 100 different preparations were reported. At least eight of the commonly used preparations may interact with conventional breast cancer therapies. CAM users more often had a BMI <25 kg/m2 (OR 1.76; 95%CI 1.33–2.33), were more often nulliparous (OR 1.59; 1.08–2.34), alcohol (OR 2.13; 1.44–3.14), antidepressants (OR 1.48; 1.02–2.15), and hormone therapy users (OR 1.57; 1.18–2.07), less often smokers (OR 0.71; 0.50–0.99), and consumed less coffee (OR 0.88; 0.82–0.95) than non CAM users. Tumor characteristics were not associated with CAM use. CAM use was more common among tamoxifen (OR 1.32; 1.00–1.75) and less common among chemotherapy (OR 0.63; 0.42–0.92) treated patients. Vitamins/minerals use was more common in aromatase inhibitor treated patients (OR 1.84; 1.33–2.53). There was no significant association between short-term disease-free survival and CAM use. Conclusion. CAM use was common and associated with certain patient characteristics. CAM use may cause clinically significant drug interactions and it is therefore of clinical interest to identify potential CAM users.


Molecular Genetics and Metabolism | 2011

Androgen receptor htSNPs in relation to androgen levels and OC use in young women from high-risk breast cancer families.

Maria Hietala; Maria Henningson; Therese Törngren; Håkan Olsson; Helena Jernström

High testosterone levels have been associated with breast cancer. BRCA1 may function as an androgen receptor (AR) co-regulator. We aimed to examine AR haplotype-tagging single-nucleotide polymorphisms (AR htSNPs) and diplotypes in relation to in vivo androgen levels, combined OC use, CAG and GGC genotypes, and BRCA1/2/X family status in 269 young healthy women from breast cancer high-risk families and 56 additional BRCA1/2 mutation carriers. Testosterone, androstenedione, dehydroepiandrosterone sulfate, and body constitution were measured on cycle days 18-23. Six AR htSNPs and CAG and GGC repeat lengths were genotyped. Most OC users had lower androgen levels than non-users (all Ps<0.0001). Rare variant diplotypes were associated with higher testosterone levels in OC users than in non-users (P(interaction)=0.011). The interaction remained after adjustment for family clustering. Neither individual AR htSNPs nor other diplotypes were significantly associated with androgen levels and did not tag for CAG or GGC genotypes. In the first included woman from each family, the odds of having the most common diplotype was lower in BRCA1 families compared to other families OR 0.41 (95% CI 0.22-0.78). In conclusion, we found few associations between AR htSNPs or diplotypes and androgen levels in women. Diplotypes cannot replace genotyping of microsatellites CAG or GGC. Since testosterone levels are not affected the same way by combined OC use among all women, young women who have higher testosterone levels during combined OC use may belong to the subgroup of women who will not be helped by combined OCs for treatment of androgen-dependent conditions and may be at higher risk for early-onset breast cancer. Whether these women can be identified with AR genotyping needs to be confirmed in an independent cohort.


Growth Hormone & Igf Research | 2010

Interactions between oral contraceptive status and GSTM1 and GSTT1 deletions on insulin-like growth factor-1 (IGF-1) plasma levels in young healthy women.

Maria Henningson; Maria Hietala; Erika Bågeman; Håkan Olsson; Helena Jernström

OBJECTIVE Insulin-like growth factor-1 (IGF-1) is essential for the pubertal growth spurt and for normal mammary gland development. IGF-1 increases premenopausal breast cancer risk. Oral contraceptives (OCs) decrease IGF-1 in most women. The endogenous estrogens and their metabolites also influence IGF-1 levels. Glutathione S-transferases (GSTs) are involved in estrogen metabolism. We aimed to study IGF-1 levels and body size in relation to GSTM1 and GSTT1 deletions, and GSTP1*1B and current oral contraceptive (OC) status. DESIGN Questionnaires on reproductive factors and OC use were completed and blood samples were obtained during menstrual cycle day 18-23 in healthy women (≤40 years) from breast cancer high-risk families. IGF-1 was analyzed with radioimmunoassay. Genetic analyses were done with PCR based methods. Initially 258 women were included. After exclusion 229 women were finally included in the analyses of IGF-1 in relation to GSTM1 and GSTT1. RESULTS Among the 142 non-OC users, GSTM1*0/*0 or GSTT1*0/*0 alone were associated with lower IGF-1 levels while homozygous GSTM1*0/*0/GSTT1*0/*0 carriers had higher IGF-1 levels (P(interaction)=0.024). In the 87 OC users, GSTM1*0/*0 or GSTT1*0/*0 alone were associated with higher IGF-1 levels while homozygous GSTM1*0/*0/GSTT1*0/*0 carriers had lower IGF-1 levels (P(interaction)=0.010). Among all 229 women, a three-way interaction model showed an interaction between the GSTM1*0/*0/GSTT1*0/*0 genotype and OC use on IGF-1 levels (P(interaction)=0.003). GSTP1*1B was not associated with IGF-1. The GSTM1*1/GSTT1*0/*0 genotype was associated with high body weight (P=0.003) and GSTM1*0/*0/GSTT1*0/*0 was associated with early growth (P=0.003). CONCLUSION Both OC use and GSTT1 and GSTM1 genotypes may influence IGF-1 levels. Further studies are warranted to confirm our finding and elucidate the clinical importance.


Cancer Research | 2013

Abstract 108: Coffee prevents early events in tamoxifen-treated breast cancer patients and modulates hormone receptor status.

Maria Simonsson; Viktoria Söderlind; Maria Henningson; Maria Hietala; Carsten Rose; Christian Ingvar; Helena Jernström

Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC Whether coffee modulates response to endocrine therapy in breast cancer patients is currently unknown. The CYP1A2 and CYP2C8 enzymes contribute to tamoxifen and caffeine metabolism. The aim was to investigate the impact of coffee consumption on tumor characteristics and disease-free survival in relation to breast cancer treatment and CYP1A2 and CYP2C8 genotypes. Questionnaires regarding lifestyle were completed preoperatively by 592 patients in Southern Sweden. CYP1A2*1F and CYP2C8*3 were genotyped. Clinical data and tumor characteristics were obtained from patients’ charts, population registries, and pathology reports. Coffee consumption was categorized as low (0-1 cups/day), moderate (2-4 cups/day), or high (5+cups/day). The proportion of estrogen receptor negative (ER-) tumors increased with increasing coffee consumption (Ptrend=0.042). Low consumption was associated with higher frequency of discordant receptor status (ER+PgR-) OR 2.61 (1.59-4.29) compared to higher consumption. Median follow-up time was 4.92 years. Tamoxifen-treated patients with low consumption had significantly increased risk for early events compared to patients who consumed two or more cups/day, adjusted HR 2.50 (1.20-5.26). Low coffee consumption was also associated with higher risk for distant metastases in tamoxifen-treated patients with ER+ tumors, adjusted HR 2.43 (1.00-5.88). Low consumption combined with at least one CYP1A2*1F C-allele or CYP2C8*3 was associated with a high risk for early events in tamoxifen-treated patients, adjusted HRs 3.49 (1.54-7.90) and 6.14 (2.46-15.34), respectively. In conclusion, a moderate to high coffee consumption of caffeinated coffee was associated with significantly lower risk for early breast cancer events in tamoxifen-treated patients. This may be due to modification of the hormone receptor status or altered CYP enzyme activity. If confirmed, new recommendations regarding coffee consumption during tamoxifen-treatment may be warranted. Citation Format: Maria Simonsson, Viktoria Soderlind, Maria Henningson, Maria Hietala, Carsten Rose, Christian Ingvar, Helena C. Jernstrom. Coffee prevents early events in tamoxifen-treated breast cancer patients and modulates hormone receptor status. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 108. doi:10.1158/1538-7445.AM2013-108


Cancer Causes & Control | 2013

Coffee prevents early events in tamoxifen-treated breast cancer patients and modulates hormone receptor status.

Maria Simonsson; Viktoria Söderlind; Maria Henningson; Maria Hjertberg; Carsten Rose; Christian Ingvar; Helena Jernström


Cancer Causes & Control | 2012

Given breast cancer, does breast size matter? Data from a prospective breast cancer cohort

Andrea Markkula; Anna Bromée; Maria Henningson; Maria Hietala; Anita Ringberg; Christian Ingvar; Carsten Rose; Helena Jernström


Familial Cancer | 2011

IGF1 htSNPs in relation to IGF-1 levels in young women from high-risk breast cancer families: implications for early-onset breast cancer

Maria Henningson; Maria Hietala; Therese Törngren; Håkan Olsson; Helena Jernström

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