Publications by authors named "Taru Muranen"

Article Synopsis
  • Visualization is crucial for genomic data analysis, but many existing tools require significant programming skills, especially for interactive applications, highlighting a need for more user-friendly solutions.
  • GenomeSpy is introduced as a grammar-based toolkit that allows users to easily create interactive visualizations using a declarative approach, enhancing accessibility without needing extensive programming knowledge.
  • The toolkit significantly improves performance during genomic analysis by utilizing graphics processing units, and it has been successfully applied to analyze ovarian cancer samples, providing valuable insights into chromosomal instability.
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Triple-negative breast cancer (TNBC) is responsible for a disproportionate number of breast cancer patient deaths due to extensive molecular heterogeneity, high recurrence rates, and lack of targeted therapies. Dysregulation of the phosphoinositide 3-kinase (PI3K)/AKT pathway occurs in approximately 50% of TNBC patients. Here, we performed a genome-wide CRISPR/Cas9 screen with PI3Kα and AKT inhibitors to find targetable synthetic lethalities in TNBC.

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Objectives: We evaluated usability of single base substitution signature 3 (Sig3) as a biomarker for homologous recombination deficiency (HRD) in tubo-ovarian high-grade serous carcinoma (HGSC).

Materials And Methods: This prospective observational trial includes 165 patients with advanced HGSC. Fresh tissue samples (n = 456) from multiple intra-abdominal areas at diagnosis and after neoadjuvant chemotherapy (NACT) were collected for whole-genome sequencing.

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Coronavirus disease 2019 (COVID-19) remains a significant public health threat due to the ability of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants to evade the immune system and cause breakthrough infections. Although pathogenic coronaviruses such as SARS-CoV-2 and Middle East respiratory syndrome (MERS)-CoV lead to severe respiratory infections, how these viruses affect the chromatin proteomic composition upon infection remains largely uncharacterized. Here, we use our recently developed integrative DNA And Protein Tagging methodology to identify changes in host chromatin accessibility states and chromatin proteomic composition upon infection with pathogenic coronaviruses.

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COVID-19 remains a significant public health threat due to the ability of SARS-CoV-2 variants to evade the immune system and cause breakthrough infections. Although pathogenic coronaviruses such as SARS-CoV-2 and MERS-CoV lead to severe respiratory infections, how these viruses affect the chromatin proteomic composition upon infection remains largely uncharacterized. Here we used our recently developed integrative DNA And Protein Tagging (iDAPT) methodology to identify changes in host chromatin accessibility states and chromatin proteomic composition upon infection with pathogenic coronaviruses.

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Recurrent hormone receptor-positive (HR+) breast cancer kills more than 600,000 women annually. Although HR+ breast cancers typically respond well to therapies, approximately 30% of patients relapse. At this stage, the tumors are usually metastatic and incurable.

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Article Synopsis
  • 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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Article Synopsis
  • Ovarian high-grade serous carcinoma (HGSC) is usually detected at advanced stages, and the tumors contain many genetically diverse clones before treatment begins.
  • The study analyzed 510 samples from 148 patients, identifying three unique evolutionary states with different genomic features and treatment responses, along with two main paths of evolution between those states.
  • Additional experiments on tumor organoids suggest that targeting the PI3K/AKT pathway with the drug alpelisib could be effective, and it was found that samples from the original tumor sites had significantly more unique clones compared to metastatic sites.
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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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Article Synopsis
  • - 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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Purpose: Deficiency in homologous recombination (HR) repair of DNA damage is characteristic of many high-grade serous ovarian cancers (HGSC). It is imperative to identify patients with homologous recombination-deficient (HRD) tumors as they are most likely to benefit from platinum-based chemotherapy and PARP inhibitors (PARPi). Existing methods measure historical, not necessarily current HRD and/or require high tumor cell content, which is not achievable for many patients.

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Article Synopsis
  • Rare germline genetic variants in specific genes are linked to increased breast cancer risk, but their impact on different subtypes of the disease is not fully understood.
  • The BRIDGES study analyzed data from 42,680 breast cancer patients and 46,387 controls, focusing on specific genetic mutations and their associations with tumor characteristics.
  • Results showed that certain gene variants (like RAD51C, RAD51D, and BARD1) are primarily linked to triple-negative breast cancer, while others (like CHEK2) are associated with various subtypes, indicating varied genetic influence on breast cancer types.
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A major challenge of targeting metabolism for cancer therapy is pathway redundancy, in which multiple sources of critical nutrients can limit the effectiveness of some metabolism-targeted therapies. Here, we analyze lineage-dependent gene expression in human breast tumors to identify differences in metabolic gene expression that may limit pathway redundancy and create therapeutic vulnerabilities. We find that the serine synthesis pathway gene PSAT1 is the most depleted metabolic gene in luminal breast tumors relative to basal tumors.

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Germline copy number variants (CNVs) are pervasive in the human genome but potential disease associations with rare CNVs have not been comprehensively assessed in large datasets. We analysed rare CNVs in genes and non-coding regions for 86,788 breast cancer cases and 76,122 controls of European ancestry with genome-wide array data. Gene burden tests detected the strongest association for deletions in BRCA1 (P = 3.

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Breast cancer metastasis accounts for most of the deaths from breast cancer. Identification of germline variants associated with survival in aggressive types of breast cancer may inform understanding of breast cancer progression and assist treatment. In this analysis, we studied the associations between germline variants and breast cancer survival for patients with distant metastases at primary breast cancer diagnosis.

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Background: Given the high heterogeneity among breast tumors, associations between common germline genetic variants and survival that may exist within specific subgroups could go undetected in an unstratified set of breast cancer patients.

Methods: We performed genome-wide association analyses within 15 subgroups of breast cancer patients based on prognostic factors, including hormone receptors, tumor grade, age, and type of systemic treatment. Analyses were based on 91,686 female patients of European ancestry from the Breast Cancer Association Consortium, including 7531 breast cancer-specific deaths over a median follow-up of 8.

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Article Synopsis
  • The study investigates the possible causal relationship between cigarette smoking and breast cancer risk using Mendelian randomization techniques.
  • Results indicate that a genetically predicted lifetime smoking index (LSI) is linked to an increased risk of breast cancer, while the number of cigarettes smoked per day (CPD) does not show a significant association.
  • The findings suggest that long-term smoking exposure may increase breast cancer risk, but the intensity of smoking does not appear to have the same effect.
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  • Researchers studied the impact of new polygenic risk scores (PRS) for breast and prostate cancer on male carriers of BRCA1 and BRCA2 gene mutations, analyzing data from 1,801 individuals across these two genes.
  • The breast cancer PRS showed the strongest link to risk factors for BRCA1 and BRCA2 carriers, with specific odds ratios indicating increased risk associated with certain risk score variations.
  • The findings highlight the need for further research to tailor cancer risk assessments for male BRCA mutation carriers, which could improve their clinical management and outcomes.
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The risk of breast cancer associated with CHEK2:c.1100delC is 2-threefold but higher in carriers with a family history of breast cancer than without, suggesting that other genetic loci in combination with CHEK2:c.1100delC confer an increased risk in a polygenic model.

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  • The study investigates the role of the miR-30 family, particularly miR-30d, in breast cancer, focusing on its impact on patient survival and treatment outcomes among 1238 patients.
  • High expression of miR-30d is associated with better survival and lower metastasis rates, especially in aggressive cancer subtypes, and it predicts outcomes independently of traditional prognostic markers.
  • The miR-30 family enhances sensitivity to specific breast cancer treatments (doxorubicin and lapatinib) in certain cell lines, suggesting its potential as a valuable prognostic and predictive biomarker in breast cancer therapy.
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A combination of genetic and functional approaches has identified three independent breast cancer risk loci at 2q35. A recent fine-scale mapping analysis to refine these associations resulted in 1 (signal 1), 5 (signal 2), and 42 (signal 3) credible causal variants at these loci. We used publicly available in silico DNase I and ChIP-seq data with in vitro reporter gene and CRISPR assays to annotate signals 2 and 3.

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  • The study examined modifiable lifestyle factors affecting survival after invasive breast cancer across various subtypes.
  • Analysis of data from over 121,000 women indicated strong links between all-cause mortality and factors like BMI, smoking, and physical activity, with no significant differences based on breast cancer subtype.
  • The findings suggest that lifestyle changes could play a role in improving survival outcomes, and these associations may aid in patient care strategies without substantial subtype variations.
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Perturbation biology is a powerful approach to modeling quantitative cellular behaviors and understanding detailed disease mechanisms. However, large-scale protein response resources of cancer cell lines to perturbations are not available, resulting in a critical knowledge gap. Here we generated and compiled perturbed expression profiles of ∼210 clinically relevant proteins in >12,000 cancer cell line samples in response to ∼170 drug compounds using reverse-phase protein arrays.

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Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing primary invasive breast cancer. This study aimed to evaluate the association between a recently validated PRS of 313 germline variants (PRS) and contralateral breast cancer (CBC) risk. We included 56,068 women of European ancestry diagnosed with first invasive breast cancer from 1990 onward with follow-up from the Breast Cancer Association Consortium.

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