Vesa Kataja

University of Eastern Finland, Kuopio, Eastern Finland Province, Finland

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Publications (143)1172.17 Total impact

  • Lin WY, Camp NJ, Ghoussaini M, Beesley J, Michailidou K, Hopper JL, Apicella C, Southey MC, Stone J, Schmidt MK, [......], Ovarian Cancer Susceptibility (BOCS) Study, Waisfisz Q, Meijers-Heijboer HE, Adank MA, Van Der Luijt RB, Hall P, Chenevix-Trench G, Dunning A, Easton DF, Cox A
    Human Molecular Genetics 08/2014; · 7.69 Impact Factor
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    ABSTRACT: Type II transmembrane serine proteases (TTSPs) are related to tumor growth, invasion, and metastasis in cancer. Genetic variants in these genes may alter their function, leading to cancer onset and progression, and affect patient outcome. Here, 464 breast cancer cases and 370 controls were genotyped for 82 single-nucleotide polymorphisms covering eight genes. Association of the genotypes was estimated against breast cancer risk, breast cancer-specific survival, and survival in different treatment groups, and clinicopathological variables. SNPs in TMPRSS3 (rs3814903 and rs11203200), TMPRSS7 (rs1844925), and HGF (rs5745752) associated significantly with breast cancer risk (Ptrend = 0.008-0.042). SNPs in TMPRSS1 (rs12151195 and rs12461158), TMPRSS2 (rs2276205), TMPRSS3 (rs3814903), and TMPRSS7 (rs2399403) associated with prognosis (P = 0.004-0.046). When estimating the combined effect of the variants, the risk of breast cancer was higher with 4-5 alleles present compared to 0-2 alleles (P = 0.0001; OR, 2.34; 95% CI, 1.39-3.94). Women with 6-8 survival-associating alleles had a 3.3 times higher risk of dying of breast cancer compared to women with 1-3 alleles (P = 0.001; HR, 3.30; 95% CI, 1.58-6.88). The results demonstrate the combined effect of variants in TTSPs and their related genes in breast cancer risk and patient outcome. Functional analysis of these variants will lead to further understanding of this gene family, which may improve individualized risk estimation and development of new strategies for treatment of breast cancer.
    PLoS ONE 07/2014; 9(7):e102519. · 3.53 Impact Factor
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    ABSTRACT: Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data were combined from 38 studies of white European women (46,450 cases and 42,600 controls) and analysed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 (rs1053338, per-allele OR=1.07, 95%CI=1.04-1.10, P=2.9x10(-6)), AKAP9-M463I at 7q21 (rs6964587, OR=1.05, 95%CI=1.03-1.07, P=1.7x10(-6)) and NEK10-L513S at 3p24 (rs10510592, OR=1.10, 95%CI=1.07-1.12, P=5.1x10(-17)). The first two associations reached genome-wide statistical significance in a combined analysis of available data, including independent data from nine GWAS: for ATXN7-K264R, OR=1.07 (95%CI=1.05-1.10, P=1.0x10(-8)); for AKAP9-M463I, OR=1.05 (95%CI=1.04-1.07, P=2.0x10(-10)). Further analysis of other common variants in these two regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known genome-wide association study (GWAS) hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act.
    Human Molecular Genetics 06/2014; · 7.69 Impact Factor
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    ABSTRACT: Mitotic index is an important component of histologic grade and has an etiologic role in breast tumorigenesis. Several small candidate gene studies have reported associations between variation in mitotic genes and breast cancer risk. We measured associations between 2,156 single nucleotide polymorphisms (SNPs) from 194 mitotic genes and breast cancer risk, overall and by histologic grade, in the Breast Cancer Association Consortium (BCAC) iCOGS study (n=39,067 cases; n=42,106 controls). SNPs in TACC2 (rs17550038: odds ratio (OR)=1.24, 95% CI 1.16-1.33, p=4.2x10(-10)) and EIF3H (rs799890: OR=1.07, 95% confidence interval (CI) 1.04-1.11, p=8.7x10(-6)) were significantly associated with risk of low grade breast cancer. The TACC2 signal was retained (rs17550038: OR=1.15, 95% CI 1.07-1.23, p=7.9x10(-5)) after adjustment for breast cancer risk SNPs in the nearby FGFR2 gene, suggesting that TACC2 is a novel, independent genome-wide significant genetic risk locus for low grade breast cancer. While no SNPs were individually associated with high-grade disease, a pathway-level gene set analysis showed that variation across the 194 mitotic genes was associated with high grade breast cancer risk (p=2.1x10(-3)). These observations will provide insight into the contribution of mitotic defects to histological grade and the etiology of breast cancer.
    Human Molecular Genetics 06/2014; · 7.69 Impact Factor
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    ABSTRACT: Background: Single nucleotide polymorphisms (SNPs) in a DNA-repair gene, X-Ray repair cross complementing group 1 (XRCC1), have been associated with the survival of patients with breast cancer. We investigated the predictive value of XRCC1 SNP (rs25487) in patients with early breast cancer. Patients and Methods: The XRCC1 rs25487 genotypes of 411 Finnish patients with breast cancer were analyzed by a polymerase chain reaction-restriction fragment length polymorphism-based method. Survival was assessed by Kaplan-Meier method and Cox regression analysis according to the XRCC1 genotypes in specified adjuvant treatment groups. Results: The rs25487 variant AA genotype was associated with worse breast cancer-specific and overall survival in 238 patients receiving postoperative radiotherapy (p=0.031 and p=0.030, respectively). The AA genotype predicted worse breast cancer-specific survival among 75 patients treated with adjuvant chemotherapy (p=0.047). Conclusion: The XRCC1 rs25487 genotype may predict the outcome of postoperative radiotherapy and adjuvant chemotherapy in breast cancer.
    Anticancer research 06/2014; 34(6):3031-3037. · 1.71 Impact Factor
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    ABSTRACT: We have previously shown that a tag single nucleotide polymorphism (rs10235235), which maps to the CYP3A locus (7q22.1), was associated with a reduction in premenopausal urinary estrone glucuronide levels and a modest reduction in risk of breast cancer in women age <=50 years.
    Breast cancer research: BCR 05/2014; 16(3):R51. · 5.87 Impact Factor
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    ABSTRACT: The enzyme manganese superoxide dismutase (MnSOD) defends against oxidative stress caused by reactive oxygen species (ROS), whereas Xeroderma pigmentosum group D (XPD) protein is involved in DNA repair. Polymorphisms in these genes have previously been associated with the outcome of breast cancer. Material and methods. Two gene polymorphisms, the MnSOD Val16Ala (rs4880A> G) and the XPD Lys751Gln (rs13181A> C), were analyzed in a cohort of 396 Finnish breast cancer patients by using PCR-RFLP-based methods in a prospective case-control study. The overall survival (OS), breast cancer-specific survival (BCSS), and relapse-free survival (RFS), assessed by using Kaplan-Meier survival analysis and multivariate Cox regression analysis, were evaluated according to the adjuvant treatments and the rs4880 and rs13181 genotypes. Results. In the combined analysis of rs4880 and rs13181 genotypes for patients treated with adjuvant tamoxifen (TAM) an increasing number of low-risk genotypes (rs4880 AA, rs4880 AG, or rs13181 AA) was significantly associated with better RFS, BCSS, and OS (n = 64). In addition, there was improved BCSS and RFS among TAM-treated patients carrying the wild-type rs4880 A allele as compared with the other genotypes (n = 64). The wild-type rs13181 AA genotype was similarly associated with better RFS and BCSS in the TAM-treated population (n = 65). Conclusion. This is the first study to show that the MnSOD rs4880 and XPD rs13181 polymorphisms may influence the outcome of breast cancer patients receiving adjuvant TAM monotherapy. Patients carrying the rs4880 A allele or rs13181 AA genotype may have a reduced ability to scavenge ROS and repair the DNA damage generated by TAM treatment.
    Acta oncologica (Stockholm, Sweden) 04/2014; · 2.27 Impact Factor
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    Human Molecular Genetics 04/2014; Hum Mol Genet.(23(7)):1934-46.. · 7.69 Impact Factor
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    ABSTRACT: Invasive lobular breast cancer (ILC) accounts for 10-15% of all invasive breast carcinomas. It is generally ER positive (ER+) and often associated with lobular carcinoma in situ (LCIS). Genome-wide association studies have identified more than 70 common polymorphisms that predispose to breast cancer, but these studies included predominantly ductal (IDC) carcinomas. To identify novel common polymorphisms that predispose to ILC and LCIS, we pooled data from 6,023 cases (5,622 ILC, 401 pure LCIS) and 34,271 controls from 36 studies genotyped using the iCOGS chip. Six novel SNPs most strongly associated with ILC/LCIS in the pooled analysis were genotyped in a further 516 lobular cases (482 ILC, 36 LCIS) and 1,467 controls. These analyses identified a lobular-specific SNP at 7q34 (rs11977670, OR (95%CI) for ILC = 1.13 (1.09-1.18), P = 6.0×10-10; P-het for ILC vs IDC ER+ tumors = 1.8×10-4). Of the 75 known breast cancer polymorphisms that were genotyped, 56 were associated with ILC and 15 with LCIS at P<0.05. Two SNPs showed significantly stronger associations for ILC than LCIS (rs2981579/10q26/FGFR2, P-het = 0.04 and rs889312/5q11/MAP3K1, P-het = 0.03); and two showed stronger associations for LCIS than ILC (rs6678914/1q32/LGR6, P-het = 0.001 and rs1752911/6q14, P-het = 0.04). In addition, seven of the 75 known loci showed significant differences between ER+ tumors with IDC and ILC histology, three of these showing stronger associations for ILC (rs11249433/1p11, rs2981579/10q26/FGFR2 and rs10995190/10q21/ZNF365) and four associated only with IDC (5p12/rs10941679; rs2588809/14q24/RAD51L1, rs6472903/8q21 and rs1550623/2q31/CDCA7). In conclusion, we have identified one novel lobular breast cancer specific predisposition polymorphism at 7q34, and shown for the first time that common breast cancer polymorphisms predispose to LCIS. We have shown that many of the ER+ breast cancer predisposition loci also predispose to ILC, although there is some heterogeneity between ER+ lobular and ER+ IDC tumors. These data provide evidence for overlapping, but distinct etiological pathways within ER+ breast cancer between morphological subtypes.
    PLoS Genetics 04/2014; 10(4):e1004285. · 8.52 Impact Factor
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    ABSTRACT: Background ODM-201 is a novel androgen receptor (AR) inhibitor designed to block the growth of prostate cancer cells through high-affinity binding to the AR and inhibition of AR nuclear translocation. This trial assessed ODM-201's safety, pharmacokinetics, and activity in men with metastatic castration-resistant prostate cancer. Methods The ARADES trial is an open-label phase 1–2 trial undertaken in 23 hospitals across Europe and USA with ongoing long-term follow-up. Men with progressive metastatic castration-resistant prostate cancer, who had castrate concentrations of testosterone and an Eastern Cooperative Oncology Group score of 0–1 were enrolled. In the phase 1 part of the trial, patients were given oral ODM-201 at a starting daily dose of 200 mg, which was increased to 400 mg, 600 mg, 1000 mg, 1400 mg, and 1800 mg. In phase 2, patients were randomly assigned centrally and stratified by previous chemotherapy and treatment with CPY17 inhibitors, to receive one of three daily doses of ODM-201 (200 mg, 400 mg, and 1400 mg). The primary endpoint in phase 1 was safety and tolerability, whereas in phase 2 it was the proportion of patients with a PSA response (50% or greater decrease in serum PSA) at week 12. All analyses included patients who had received at least one dose of ODM-201. This trial is registered with ClinicalTrials.gov, number NCT01317641, and NCT01429064 for the follow-up after 12 weeks. Findings We enrolled patients between April 5, 2011, and March 12, 2013. In phase 1, 24 patients were enrolled to six sequential cohorts of three to six patients and received a daily dose of ODM-201, 200–1800 mg. No dose-limiting toxic effects were reported and the maximum tolerated dose was not reached. In phase 1, three patients reported eight adverse events of grade 3 (fracture, muscle injury, laceration, paralytic ileus, pain, presyncope, urinary retention, and vomiting) and one patient had a grade 4 adverse event (lymphoedema). None of the grade 3–4 adverse events were deemed to be related to ODM-201. Of the phase 1 patients, the four who received 200 mg, seven who received 400 mg, and three who received 1400 mg entered the phase 2 part of the trial. In addition to these patients, 110 were randomly assigned to three groups: 200 mg (n=38), 400 mg (n=37), and 1400 mg (n=35). For these patients, the most common treatment-emergent adverse events were fatigue or asthenia (15 [12%] of 124 patients), hot flush (six [5%]), and decreased appetite (five [4%]). One patient (<1%) had a grade 3 treatment-emergent adverse event (fatigue); no patients had a treatment-emergent grade 4 adverse event. 38 patients who received 200 mg, 39 who received 400 mg, and 33 who received 1400 mg were assessable for PSA response at 12 weeks. 11 (29%) patients in the 200 mg group, 13 (33%) in the 400 mg group, and 11 (33%) in the 1400 mg group had a PSA response at 12 weeks. Interpretation Our results suggest that ODM-201 monotherapy in men with progressive metastatic castration-resistant prostate cancer provides disease suppression and that ODM-201 has a favourable safety profile. These findings support further investigation of clinical responses with ODM-201 in men with castration-resistant prostate cancer. Funding Orion Corporation Orion Pharma, Endo Pharmaceuticals Inc.
    The lancet oncology. 01/2014;
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    ABSTRACT: Large population-based registry studies have shown that breast cancer prognosis is inherited. Here we analyse single-nucleotide polymorphisms (SNPs) of genes implicated in human immunology and inflammation as candidates for prognostic markers of breast cancer survival involving 1,804 oestrogen receptor (ER)-negative patients treated with chemotherapy (279 events) from 14 European studies in a prior large-scale genotyping experiment, which is part of the Collaborative Oncological Gene-environment Study (COGS) initiative. We carry out replication using Asian COGS samples (n=522, 53 events) and the Prospective Study of Outcomes in Sporadic versus Hereditary breast cancer (POSH) study (n=315, 108 events). Rs4458204_A near CCL20 (2q36.3) is found to be associated with breast cancer-specific death at a genome-wide significant level (n=2,641, 440 events, combined allelic hazard ratio (HR)=1.81 (1.49-2.19); P for trend=1.90 × 10(-9)). Such survival-associated variants can represent ideal targets for tailored therapeutics, and may also enhance our current prognostic prediction capabilities.
    Nature Communications 01/2014; 5:4051. · 10.74 Impact Factor
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    ABSTRACT: Micro-RNAs are small, noncoding RNAs that act as tumor suppressors or oncogenes. MiR-200c is a member of the miR-200 family; it is known to be dysregulated in invasive breast carcinoma. MiR-200c maintains the epithelial-mesenchymal transition and inhibits cell migration and invasion. Recent studies showed that miR-200c regulated steroid hormone receptors, estrogen receptors (ER), and progesterone receptors (PR). The present study aimed to detect miR-200c in 172 invasive breast carcinoma cases selected from a prospective cohort enrolled in Kuopio, Eastern Finland, between 1990 and 1995. MiR-200c expression was determined with relative q-PCR, and results were compared to clinicopathological variables and patient outcome. We found that PR status combined with miR-200c expression was a significant marker of outcome. High miR-200c expression was associated with reduced survival in PR-negative cases (n = 68); low miR-200c expression indicated reduced survival in PR-positive cases (n = 86) (Cox regression: P = 0.002, OR = 3.433; and P = 0.004, OR = 4.176, respectively). In PR-negative cases, high miR-200c expression was associated with shortened relapse-free survival (Cox regression: P = 0.001, OR = 3.613); increased local/distant recurrence (Logistic regression: P = 0.006, OR = 3.965); and more frequent distant metastasis (Logistic regression: P = 0.015, OR = 3.390). We also found that high grade and low stage tumors were positively correlated with high miR-200c expression (Logistic regression for high grade tumors: P = 0.002, OR = 2.791 and for high stage tumors: P = 0.035, OR = 0.285). Our results indicated that miR-200c may play a role in invasive breast carcinoma. Furthermore, miR-200c combined with PR status provided a refined predictor of outcome. In future, a larger study is required to confirm our results. This data may provide a basis for new research target-progesterone receptor-regulated microRNAs in breast cancer.
    PLoS ONE 01/2014; 9(10):e109508. · 3.53 Impact Factor
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    ABSTRACT: The 10q26 locus in the second intron of FGFR2 is the locus most strongly associated with estrogen-receptor-positive breast cancer in genome-wide association studies. We conducted fine-scale mapping in case-control studies genotyped with a custom chip (iCOGS), comprising 41 studies (n = 89,050) of European ancestry, 9 Asian ancestry studies (n = 13,983), and 2 African ancestry studies (n = 2,028) from the Breast Cancer Association Consortium. We identified three statistically independent risk signals within the locus. Within risk signals 1 and 3, genetic analysis identified five and two variants, respectively, highly correlated with the most strongly associated SNPs. By using a combination of genetic fine mapping, data on DNase hypersensitivity, and electrophoretic mobility shift assays to study protein-DNA binding, we identified rs35054928, rs2981578, and rs45631563 as putative functional SNPs. Chromatin immunoprecipitation showed that FOXA1 preferentially bound to the risk-associated allele (C) of rs2981578 and was able to recruit ERα to this site in an allele-specific manner, whereas E2F1 preferentially bound the risk variant of rs35054928. The risk alleles were preferentially found in open chromatin and bound by Ser5 phosphorylated RNA polymerase II, suggesting that the risk alleles are associated with changes in transcription. Chromatin conformation capture demonstrated that the risk region was able to interact with the promoter of FGFR2, the likely target gene of this risk region. A role for FOXA1 in mediating breast cancer susceptibility at this locus is consistent with the finding that the FGFR2 risk locus primarily predisposes to estrogen-receptor-positive disease.
    The American Journal of Human Genetics 11/2013; · 11.20 Impact Factor
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    ABSTRACT: Genes that alter disease risk only in combination with certain environmental exposures may not be detected in genetic association analysis. By using methods accounting for gene-environment (G × E) interaction, we aimed to identify novel genetic loci associated with breast cancer risk. Up to 34,475 cases and 34,786 controls of European ancestry from up to 23 studies in the Breast Cancer Association Consortium were included. Overall, 71,527 single nucleotide polymorphisms (SNPs), enriched for association with breast cancer, were tested for interaction with 10 environmental risk factors using three recently proposed hybrid methods and a joint test of association and interaction. Analyses were adjusted for age, study, population stratification, and confounding factors as applicable. Three SNPs in two independent loci showed statistically significant association: SNPs rs10483028 and rs2242714 in perfect linkage disequilibrium on chromosome 21 and rs12197388 in ARID1B on chromosome 6. While rs12197388 was identified using the joint test with parity and with age at menarche (P-values = 3 × 10(-07) ), the variants on chromosome 21 q22.12, which showed interaction with adult body mass index (BMI) in 8,891 postmenopausal women, were identified by all methods applied. SNP rs10483028 was associated with breast cancer in women with a BMI below 25 kg/m(2) (OR = 1.26, 95% CI 1.15-1.38) but not in women with a BMI of 30 kg/m(2) or higher (OR = 0.89, 95% CI 0.72-1.11, P for interaction = 3.2 × 10(-05) ). Our findings confirm comparable power of the recent methods for detecting G × E interaction and the utility of using G × E interaction analyses to identify new susceptibility loci.
    Genetic Epidemiology 11/2013; · 4.02 Impact Factor
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    ABSTRACT: Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P<0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1df) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using BOOST, and SNP-pairs with the strongest evidence of interaction (P<10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3,277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1df) identified no interactions at P<10(-8). Results from the second analytic approach were consistent with those from the first (P>10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.
    Human Molecular Genetics 11/2013; · 7.69 Impact Factor
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    ABSTRACT: Background. Little information is available about survival outcomes of patients with HER2-positive early breast cancer treated with adjuvant capecitabine-containing chemotherapy with or without trastuzumab. Patients and methods. One thousand and five hundred patients with early breast cancer were entered to the Finland Capecitabine trial (FinXX) between January 2004 and May 2007, and were randomly assigned to receive either three cycles of adjuvant TX (docetaxel, capecitabine) followed by three cycles of CEX (cyclophosphamide, epirubicin, capecitabine; TX-CEX) or three cycles of docetaxel followed by three cycles of CEF (cyclophosphamide, epirubicin, fluorouracil; T-CEF). The primary endpoint was recurrence-free survival (RFS). The study protocol was amended in May 2005 while study accrual was ongoing to allow adjuvant trastuzumab for patients with HER2-positive cancer. Of the 284 patients with HER2-positive cancer accrued to FinXX, 176 (62.0%) received trastuzumab after amending the study protocol, 131 for 12 months and 45 for nine weeks. The median follow-up time was 6.7 years. Results. Patients with HER2-positive cancer who received trastuzumab had better RFS than those who did not (five-year RFS 89.2% vs. 75.9%; HR 0.41, 95% CI 0.23-0.72; p = 0.001). Patients treated with trastuzumab for 12 months or nine weeks had similar RFS. There was no significant interaction between trastuzumab administration and the type of chemotherapy. Four (2.3%) patients treated with trastuzumab had heart failure or left ventricular dysfunction, three of these received capecitabine. Conclusion. Adjuvant trastuzumab improves RFS of patients treated with TX-CEX or T-CEF. Few patients had cardiac failure.
    Acta oncologica (Stockholm, Sweden) 08/2013; · 2.27 Impact Factor
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    ABSTRACT: BACKGROUND: Certain somatic alterations in breast cancer can define prognosis and response to therapy. This study investigated the frequencies, prognostic effects, and predictive effects of known cancer somatic mutations using a randomized, adjuvant, phase III clinical trial dataset. METHODS: The FinHER trial was a phase III, randomized adjuvant breast cancer trial involving 1010 women. Patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer were further randomized to 9 weeks of trastuzumab or no trastuzumab. Seven hundred five of 1010 tumors had sufficient DNA for genotyping of 70 somatic hotspot mutations in 20 genes using mass spectrometry. Distant disease-free survival (DDFS), overall survival (OS), and interactions with trastuzumab were explored with Kaplan-Meier and Cox regression analyses. All statistical tests were two-sided. RESULTS: Median follow-up was 62 months. Of 705 tumors, 687 were successfully genotyped. PIK3CA mutations (exons 1, 2, 4, 9, 13, 18, and 20) were present in 25.3% (174 of 687) and TP53 mutations in 10.2% (70 of 687). Few other mutations were found: three ERBB2 and single cases of KRAS, ALK, STK11/LKB1, and AKT2. PIK3CA mutations were associated with estrogen receptor positivity (P < .001) and the luminal-A phenotype (P = .04) but were not statistically significantly associated with prognosis (DDFS: hazard ratio [HR] = 0.88, 95% confidence [CI] = 0.58 to 1.34, P = .56; OS: HR = 0.603, 95% CI = .32 to 1.13, P = .11), although a statistically significant nonproportional prognostic effect was observed for DDFS (P = .002). PIK3CA mutations were not statistically significantly associated with trastuzumab benefit (P interaction: DDFS P = .14; OS P = .24). CONCLUSIONS: In this dataset, targeted genotyping revealed only two alterations at a frequency greater than 10%, with other mutations observed infrequently. PIK3CA mutations were associated with a better outcome, however this effect disappeared after 3 years. There were no statistically significant associations with trastuzumab benefit.
    CancerSpectrum Knowledge Environment 06/2013; · 14.07 Impact Factor
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    ABSTRACT: Matriptase-2 (TMPRSS6) has been identified as a breast cancer risk factor. Here we examined relationships between TMPRSS6 genetic variations and breast cancer risk and survival, and determined the gene and protein expressions in breast tumors and assessed their clinical importance. Thirteen TMPRSS6 polymorphisms were genotyped in 462 invasive breast cancer cases and 458 controls. Gene expression was analyzed from 83 tumors, and protein expression from 370 tumors. We then assessed the statistical significance of associations among genotypes, clinicopathological characteristics, and survival. The TMPRSS6 variant rs2543519 was associated with breast cancer risk (P = 0.032). Multivariate analysis showed that four variants had effects on survival-rs2543519 (P = 0.017), rs2235324 (P = 0.038), rs14213212 (P = 0.044), and rs733655 (P = 0.021)-which were used to create a group variable that was associated with poorer prognosis correlating with more alleles related to reduced survival (P = 0.006; risk ratio, 2.375; 95% confidence interval, 1.287-4.382). Low gene expression was related to triple-negative breast cancer (P = 0.0001), and lower protein expression was detected in undifferentiated (P = 0.019), large (P = 0.014), and ductal or lobular tumors (P = 0.036). These results confirm the association of TMRRSS6 variants with breast cancer risk and survival. Matriptase-2 levels decrease with tumor progression, and lower gene expression is seen in poor-prognosis-related triple-negative breast cancers. This study is the first to show that matriptase-2 gene variants are related to breast cancer prognosis, supporting matriptase-2 involvement in tumor development. © 2013 Wiley Periodicals, Inc.
    International Journal of Cancer 05/2013; · 6.20 Impact Factor
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    ABSTRACT: TERT-locus SNPs and leukocyte telomere measures are reportedly associated with risks of multiple cancers. Using the Illumina custom genotyping array iCOGs, we analyzed ∼480 SNPs at the TERT locus in breast (n = 103,991), ovarian (n = 39,774) and BRCA1 mutation carrier (n = 11,705) cancer cases and controls. Leukocyte telomere measurements were also available for 53,724 participants. Most associations cluster into three independent peaks. The minor allele at the peak 1 SNP rs2736108 associates with longer telomeres (P = 5.8 × 10(-7)), lower risks for estrogen receptor (ER)-negative (P = 1.0 × 10(-8)) and BRCA1 mutation carrier (P = 1.1 × 10(-5)) breast cancers and altered promoter assay signal. The minor allele at the peak 2 SNP rs7705526 associates with longer telomeres (P = 2.3 × 10(-14)), higher risk of low-malignant-potential ovarian cancer (P = 1.3 × 10(-15)) and greater promoter activity. The minor alleles at the peak 3 SNPs rs10069690 and rs2242652 increase ER-negative (P = 1.2 × 10(-12)) and BRCA1 mutation carrier (P = 1.6 × 10(-14)) breast and invasive ovarian (P = 1.3 × 10(-11)) cancer risks but not via altered telomere length. The cancer risk alleles of rs2242652 and rs10069690, respectively, increase silencing and generate a truncated TERT splice variant.
    Nature Genetics 03/2013; 45(4):371-384. · 35.21 Impact Factor
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    ABSTRACT: Estrogen receptor (ER)-negative tumors represent 20-30% of all breast cancers, with a higher proportion occurring in younger women and women of African ancestry. The etiology and clinical behavior of ER-negative tumors are different from those of tumors expressing ER (ER positive), including differences in genetic predisposition. To identify susceptibility loci specific to ER-negative disease, we combined in a meta-analysis 3 genome-wide association studies of 4,193 ER-negative breast cancer cases and 35,194 controls with a series of 40 follow-up studies (6,514 cases and 41,455 controls), genotyped using a custom Illumina array, iCOGS, developed by the Collaborative Oncological Gene-environment Study (COGS). SNPs at four loci, 1q32.1 (MDM4, P = 2.1 × 10(-12) and LGR6, P = 1.4 × 10(-8)), 2p24.1 (P = 4.6 × 10(-8)) and 16q12.2 (FTO, P = 4.0 × 10(-8)), were associated with ER-negative but not ER-positive breast cancer (P > 0.05). These findings provide further evidence for distinct etiological pathways associated with invasive ER-positive and ER-negative breast cancers.
    Nature Genetics 03/2013; 45(4):392-398. · 35.21 Impact Factor

Publication Stats

6k Citations
1,172.17 Total Impact Points

Institutions

  • 2010–2014
    • University of Eastern Finland
      • School of Medicine
      Kuopio, Eastern Finland Province, Finland
  • 1990–2014
    • Kuopio University Hospital
      • • Cancer Center
      • • Department of Obstetrics and Gynaecology
      Kuopio, Eastern Finland Province, Finland
  • 2013
    • Universität Heidelberg
      Heidelburg, Baden-Württemberg, Germany
    • University of Queensland 
      • School of Chemistry and Molecular Biosciences
      Brisbane, Queensland, Australia
    • Herlev Hospital
      Herlev, Capital Region, Denmark
  • 2012–2013
    • German Cancer Research Center
      • Division of Cancer Epidemiology
      Heidelberg, Baden-Wuerttemberg, Germany
  • 2009–2013
    • Centro Nacional de Investigaciones Oncológicas
      • Human Cancer Genetics Programme
      Madrid, Madrid, Spain
    • University of Cambridge
      • • Department of Public Health and Primary Care
      • • Department of Oncology
      Cambridge, England, United Kingdom
    • Memorial Sloan-Kettering Cancer Center
      New York City, New York, United States
  • 2008–2013
    • Vaasa Central Hospital
      Vaasa, Province of Western Finland, Finland
    • National Cancer Institute (USA)
      • Division of Cancer Epidemiology and Genetics
      Bethesda, MD, United States
  • 2003–2013
    • Helsinki University Central Hospital
      • Department of Oncology
      Helsinki, Province of Southern Finland, Finland
  • 2011
    • National Institutes of Health
      • Branch of Genetic Epidemiology
      Bethesda, MD, United States
    • University of Helsinki
      • Institute for Molecular Medicine Finland (FIMM)
      Helsinki, Province of Southern Finland, Finland
    • Netherlands Cancer Institute
      • Division of Experimental Therapy
      Amsterdamo, North Holland, Netherlands
  • 2009–2010
    • Institut de Cancérologie Gustave Roussy
      Île-de-France, France
  • 2007
    • The University of Sheffield
      Sheffield, England, United Kingdom
  • 2001–2007
    • Finnish Institute of Occupational Health
      Helsinki, Southern Finland Province, Finland
  • 1994–2007
    • University of Kuopio
      • • Institute of Clinical Medicine, Pathology and Forensic Medicine
      • • Department of Pathology
      Kuopio, Eastern Finland Province, Finland
  • 1992
    • Università degli Studi di Siena
      • Department of Medicine, Surgery and Neuroscience
      Siena, Tuscany, Italy