Publications by authors named "Nevanlinna H"

Background: The 313-variant polygenic risk score (PRS) provides a promising tool for clinical breast cancer risk prediction. However, evaluation of the PRS across different European populations which could influence risk estimation has not been performed.

Methods: We explored the distribution of PRS across European populations using genotype data from 94,072 females without breast cancer diagnosis, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 223,316 females without breast cancer diagnosis from the UK Biobank.

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Background: Breast cancer is the most common malignancy, with a mean age of onset of approximately 60 years. Only a minority of breast cancer patients present with an early onset at or before 40 years of age. An exceptionally young age at diagnosis hints at a possible genetic etiology.

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  • Scientists looked at the timing of when girls start their periods (called menarche) and how it can affect their health later in life.
  • They studied about 800,000 women and found over a thousand genetic signals that influence when menstruation starts.
  • Some women have a much higher chance of starting their periods too early or too late based on their genetic makeup, suggesting that genes play a big role in this process!
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The 313-variant polygenic risk score (PRS) provides a promising tool for breast cancer risk prediction. However, evaluation of the PRS across different European populations which could influence risk estimation has not been performed. Here, we explored the distribution of PRS across European populations using genotype data from 94,072 females without breast cancer, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 225,105 female participants from the UK Biobank.

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In search of novel breast cancer (BC) risk variants, we performed a whole-exome sequencing and variant analysis of 69 Finnish BC patients as well as analysed loss-of-function variants identified in DNA repair genes in the Finns from the Genome Aggregation Database. Additionally, we carried out a validation study of SERPINA3 c.918-1G>C, recently suggested for BC predisposition.

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Pubertal timing varies considerably and has been associated with a range of health outcomes in later life. To elucidate the underlying biological mechanisms, we performed multi-ancestry genetic analyses in ~800,000 women, identifying 1,080 independent signals associated with age at menarche. Collectively these loci explained 11% of the trait variance in an independent sample, with women at the top and bottom 1% of polygenic risk exhibiting a ~11 and ~14-fold higher risk of delayed and precocious pubertal development, respectively.

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Purpose: Germline pathogenic variants in CHEK2 confer moderately elevated breast cancer risk (odds ratio, OR ∼ 2.5), qualifying carriers for enhanced breast cancer screening. Besides pathogenic variants, dozens of missense CHEK2 variants of uncertain significance (VUS) have been identified, hampering the clinical utility of germline genetic testing (GGT).

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  • Breast cancer patients with the CHEK2 c.1100delC variant have a heightened risk of developing a second breast cancer (contralateral breast cancer) and generally experience worse survival outcomes compared to those without the variant.
  • A study involving over 82,000 women aimed to evaluate how the CHEK2 variant, radiotherapy, and systemic treatments affect the risk of contralateral breast cancer and breast cancer-specific survival.
  • Findings indicated that while systemic therapy (especially the combination of chemotherapy and endocrine therapy) lowers the risk of contralateral breast cancer, CHEK2 c.1100delC carriers still faced poorer survival rates, suggesting other factors at play beyond the risk of developing a second cancer.*
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  • A study evaluated the PREDICT v 2.2 tool for predicting the prognosis of breast cancer in patients with BRCA1 and BRCA2 gene variants, using data from over 5,400 carriers across two major cancer research consortia.
  • The PREDICT model showed reasonable effectiveness in distinguishing high-mortality groups for estrogen receptor (ER)-negative breast cancer in BRCA1 carriers, while for BRCA2 carriers, its accuracy was lower and fluctuated based on tumor characteristics.
  • The findings suggest that while PREDICT can aid in management of breast cancer patients, adjustments for BRCA2 status and tumor features are necessary to improve prognosis estimates, particularly for ER-positive cases.
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Background: The distribution of ovarian tumour characteristics differs between germline BRCA1 and BRCA2 pathogenic variant carriers and non-carriers. In this study, we assessed the utility of ovarian tumour characteristics as predictors of BRCA1 and BRCA2 variant pathogenicity, for application using the American College of Medical Genetics and the Association for Molecular Pathology (ACMG/AMP) variant classification system.

Methods: Data for 10,373 ovarian cancer cases, including carriers and non-carriers of BRCA1 or BRCA2 pathogenic variants, were collected from unpublished international cohorts and consortia and published studies.

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  • - The study investigated the links between genetic variants in breast cancer susceptibility genes (besides BRCA1, BRCA2, and CHEK2) and risks of developing contralateral breast cancer (CBC) and breast cancer-specific survival (BCSS) in 34,401 women of European ancestry who had been diagnosed with breast cancer.
  • - Significant findings revealed that protein-truncating variants (PTVs) and certain missense variants (MSVs) in genes like BRCA1, BRCA2, TP53, CHEK2, and PALB2 were associated with higher CBC risk and negative impacts on BCSS, indicating that these genetic factors play a crucial role in cancer outcomes.
  • - The results showed minimal
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Breast cancer (BC) patients with a germline c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC-specific survival (BCSS) compared to non-carriers. We aimed to assess the associations of c.

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Evidence from literature, including the BRIDGES study, indicates that germline protein truncating variants (PTVs) in FANCM confer moderately increased risk of ER-negative and triple-negative breast cancer (TNBC), especially for women with a family history of the disease. Association between FANCM missense variants (MVs) and breast cancer risk has been postulated. In this study, we further used the BRIDGES study to test 689 FANCM MVs for association with breast cancer risk, overall and in ER-negative and TNBC subtypes, in 39,885 cases (7566 selected for family history) and 35,271 controls of European ancestry.

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Background: Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes.

Methods: We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls.

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  • A polygenic risk score (PRS) made up of 313 genetic variants is linked to breast cancer and its recurrence, prompting this study to explore its relationship with tumor characteristics and survival rates in breast cancer patients.
  • The research involved nearly 100,000 women of European ancestry and around 13,000 of Asian ancestry, analyzing data through logistic and Cox regression to evaluate the association between PRS and factors like tumor grade and hormone receptor status.
  • While higher PRS was related to better tumor features and initially appeared to correlate with improved overall and breast cancer-specific survival, these associations diminished after accounting for other clinical factors, suggesting PRS isn't useful for clinical management upon diagnosis.
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  • Many variants found in disease susceptibility genes are classified as variants of uncertain significance (VUS), making their interpretation critical for clinical decisions.
  • This study introduces a new likelihood ratio-based method that takes into account gene-specific age-related penetrance to better analyze the pathogenicity of these variants.
  • The method outperformed traditional approaches in simulated and real datasets, allowing for clearer classifications of variants as pathogenic or non-pathogenic for conditions like breast cancer, and includes user-friendly tools for researchers.
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Recurrent pathogenic variants have been detected in several breast and ovarian cancer (BC/OC) risk genes in the Finnish population. We conducted a gene-panel sequencing and copy number variant (CNV) analysis to define a more comprehensive spectrum of pathogenic variants in , , , , , , , , , and genes in Finnish BC patients. The combined frequency of pathogenic variants in the genes was 1.

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Background: Metaplastic breast cancer (MpBC) is an aggressive subtype of breast carcinoma that is often resistant to conventional chemotherapy. Therefore, novel treatment strategies are urgently needed. Immune check point inhibitors have shown activity in programmed death-ligand 1 (PD-L1) - positive metastatic triple negative breast carcinoma (TNBC), which raises the possibility that immunotherapy may also be effective in MpBC as most of the MpBCs are triple negative.

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  • - The study investigates the causal relationship between physical activity, sedentary behavior, and breast cancer risk using Mendelian randomization, analyzing data from over 130,000 European women.
  • - Findings suggest that higher levels of genetic predisposition to physical activity are linked to a significantly lower overall breast cancer risk, particularly for pre/perimenopausal cases, while increased sedentary time correlates with a higher risk of certain types of tumors.
  • - The results are consistent across various test groups and indicate that promoting physical activity and reducing sedentary behavior might be beneficial in mitigating breast cancer risks.
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Background: Prediction of contralateral breast cancer (CBC) risk is challenging due to moderate performances of the known risk factors. We aimed to improve our previous risk prediction model (PredictCBC) by updated follow-up and including additional risk factors.

Methods: We included data from 207,510 invasive breast cancer patients participating in 23 studies.

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The contribution of germline copy number variants (CNVs) to risk of developing cancer in individuals with pathogenic BRCA1 or BRCA2 variants remains relatively unknown. We conducted the largest genome-wide analysis of CNVs in 15,342 BRCA1 and 10,740 BRCA2 pathogenic variant carriers. We used these results to prioritise a candidate breast cancer risk-modifier gene for laboratory analysis and biological validation.

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  • Protein truncating variants in genes like ATM and BRCA1 are linked to higher breast cancer risk, but the risks of missense variants remain unclear.
  • A study involving over 59,000 breast cancer cases analyzed the impact of rare missense variants across several genes using advanced prediction techniques and statistical models.
  • The analysis indicated that some missense variants in genes like ATM and BRCA1 could carry risks similar to truncating variants, while CHEK2 showed a different risk profile, and PALB2 variants had minimal association with breast cancer risk.
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