8 results match your criteria: "M.Sklodowska-Curie Institute - Oncology Center[Affiliation]"

Few germline mutations are known to affect lung cancer risk. We performed analyses of rare variants from 39,146 individuals of European ancestry and investigated gene expression levels in 7,773 samples. We find a large-effect association with an ATM L2307F (rs56009889) mutation in adenocarcinoma for discovery (adjusted Odds Ratio = 8.

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Background: The value of postoperative radiotherapy in the treatment of medullary thyroid carcinoma (MTC) has not been unequivocally demonstrated. Therefore our study aimed to answer the question of whether adjuvant radiotherapy showed any impact on the risk of local recurrence and whether there were any differences in response to radiotherapy between hereditary and sporadic MTC.

Methods: A retrospective analysis involved 254 MTC patients, among them 73 patients with a hereditary disease.

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Purpose: Although postoperative radioiodine (RAI) therapy has been used in patients with differentiated thyroid carcinoma (DTC) for many years, there is still lack of data defining the timing of RAI administration. A retrospective analysis was carried out to answer the question whether the time of postoperative RAI treatment demonstrated any impact on long-term outcomes, particularly in low-risk DTC.

Material: The analyzed group involved 701 DTC patients staged pT-TN-NM, who underwent total thyroidectomy and postoperative RAI therapy.

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Unlabelled: Cervical uterine cancer is the second most frequent female cancer worldwide and a substantial burden for low-income societies and the patients themselves. Understanding the molecular mechanisms of metastasis permits the development of therapies that limit tumor progression, as well as providing health and social benefits. Pathomorphology is still the basis of research and a reference standard for molecular analysis.

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Article Synopsis
  • Thymidylate synthase (TYMS) is important for DNA synthesis and is regulated by an antisense mRNA called ENOSF1, which affects tumor growth if disrupted.
  • A study investigated the genetic variant rs495139 for its potential link to mucinous ovarian carcinoma (MOC), using data from over 15,000 ovarian cancer patients, including 665 with MOC, but found no significant association in the independent sample.
  • Meta-analysis hinted at a weak connection between rs495139 and MOC risk, especially noting a positive correlation with ENOSF1 expression in normal gastrointestinal tissues, while its impact on tumors is uncertain.
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Article Synopsis
  • GWAS pinpointed the 15q25.1 locus as a key area linked to lung cancer risk, but the specific mechanisms were unclear.
  • Analysis of data from over 42,000 individuals and eQTL data from 409 helped identify significant pathways related to lung cancer, including the neuroactive ligand-receptor interaction pathway.
  • Findings revealed that specific pathways and gene interactions play a crucial role in understanding the biological basis of lung cancer, offering new insights into its etiology.
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A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer.

Nat Genet

July 2018

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.

The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown. To identify novel risk loci and likely causal genes, we performed a transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk in 122,977 cases and 105,974 controls of European ancestry. We used data from the Genotype-Tissue Expression Project to establish genetic models to predict gene expression in breast tissue and evaluated model performance using data from The Cancer Genome Atlas.

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Recent technological advancements have permitted high-throughput measurement of the human genome, epigenome, metabolome, transcriptome, and proteome at the population level. We hypothesized that subsets of genes identified from omic studies might have closely related biological functions and thus might interact directly at the network level. Therefore, we conducted an integrative analysis of multi-omic datasets of non-small cell lung cancer (NSCLC) to search for association patterns beyond the genome and transcriptome.

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