Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2023Anti-EGFR conjugated nanoparticles to deliver Alpelisib as targeted therapy for head and neck cancer6citations
  • 2022Abstract P3-05-06: Genome-wide DNA methylation analysis identifies novel biomarkers associated with risk of relapse beyond oncotype DX recurrence-score risk assessment within HR+/HER2- early-stage breast cancer patientscitations

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Juan, Alberto
1 / 1 shared
Segrelles, Carmen
1 / 1 shared
Campo-Balguerías, Almudena Del
1 / 1 shared
Bravo, Iván
1 / 1 shared
Silva, Ignacio
1 / 1 shared
Peral, Jorge
1 / 1 shared
Clemente-Casares, Pilar
1 / 2 shared
Lorz, Corina
1 / 1 shared
Alonso-Moreno, Carlos
1 / 5 shared
Pascual, Alejando
1 / 1 shared
Diaz-Lagares, Angel
1 / 1 shared
Győrffy, Balázs
1 / 1 shared
Perez-Segura, Pedro
1 / 1 shared
Moreno, Fernando
1 / 4 shared
Garcia-Saenz, Jose Angel
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Costa-Fraga, Nicolas
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Rodríguez-Casanova, Aitor
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Bao-Caamano, Aida
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Luna, Alicia De
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Sá, Alfonso López De
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Ramirez-Ruda, Carmen
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Lopez-Cade, Igor
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García-Barberán, Vanesa
1 / 1 shared
Fuentes-Antrás, Jesus
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2022

Co-Authors (by relevance)

  • Juan, Alberto
  • Segrelles, Carmen
  • Campo-Balguerías, Almudena Del
  • Bravo, Iván
  • Silva, Ignacio
  • Peral, Jorge
  • Clemente-Casares, Pilar
  • Lorz, Corina
  • Alonso-Moreno, Carlos
  • Pascual, Alejando
  • Diaz-Lagares, Angel
  • Győrffy, Balázs
  • Perez-Segura, Pedro
  • Moreno, Fernando
  • Garcia-Saenz, Jose Angel
  • Costa-Fraga, Nicolas
  • Rodríguez-Casanova, Aitor
  • Bao-Caamano, Aida
  • Luna, Alicia De
  • Sá, Alfonso López De
  • Ramirez-Ruda, Carmen
  • Lopez-Cade, Igor
  • García-Barberán, Vanesa
  • Fuentes-Antrás, Jesus
OrganizationsLocationPeople

article

Abstract P3-05-06: Genome-wide DNA methylation analysis identifies novel biomarkers associated with risk of relapse beyond oncotype DX recurrence-score risk assessment within HR+/HER2- early-stage breast cancer patients

  • Pascual, Alejando
  • Diaz-Lagares, Angel
  • Győrffy, Balázs
  • Perez-Segura, Pedro
  • Moreno, Fernando
  • Garcia-Saenz, Jose Angel
  • Costa-Fraga, Nicolas
  • Rodríguez-Casanova, Aitor
  • Bao-Caamano, Aida
  • Luna, Alicia De
  • Sá, Alfonso López De
  • Ramirez-Ruda, Carmen
  • Lopez-Cade, Igor
  • Ocaña, Alberto
  • García-Barberán, Vanesa
  • Fuentes-Antrás, Jesus
Abstract

<jats:title>Abstract</jats:title><jats:p>Background: Early-stage, node-negative, hormone receptor positive (HR+) HER2 negative (HER2-) breast cancer (BC) patients comprise a subset with good prognosis. Based on gene expression panels, these patients may skip chemotherapy and complete adjuvant endocrine therapy as an individual genomic basis assessment. However, up to 15% of patients categorized as non-high risk by Oncotype DX (Recurrence Score, RS≤25) may experience disease relapse. The field of cancer epigenomics is emerging as a dynamic tool to complement prognostic expression analyses and to provide further insight into the biological underpinnings of early HR+/HER2- BC. Methods: A genome-wide DNA methylation profiling in tumor tissue samples, from node-negative HR+/HER2- BC patients with available Oncotype DX RS data, was analyzed using the Illumina MethylationEPIC 850K BeadChip. We evaluated all differential methylation patterns independently of their position to establish a bioinformatic analytical pipeline. The online tools KM Plotter and ROC Plotter were used to assess the impact of survival outcomes (5-year relapse-free survival, RFS) and response to therapy of the candidate genes. Individual patient data from TCGA was used to analyze the correlation between methylation and mRNA levels in HR+/HER2- BC patients. Statistical significance was defined by p&amp;lt;0.05; no multiple testing correction was applied. Results: 31 patients were evaluated (mean age 51.4, SD 13.3). Four samples were discarded after quality control analysis. Sixteen tumor patients presented a RS ≤25, of which 6 patients had experienced relapse with a median follow-up of 7.1 years. Of the 773,193 loci studied, significant differential methylation was observed between the relapse and non-relapse groups at 19665 cgs (2,5%). Genes were ranked according to differential methylation patterns, and those with Delta ≥|0.25|were selected. Ninety-nine genes met these criteria. Of them, 85 (86%) were hypomethylated and 14 (14%) were hypermethylated in the relapse group. We studied methylation-expression correlations and the impact on RFS in independent datasets. Among the hypomethylated genes, VAC14 (HR 0.71, CI 0.63-0.82, p 9.7e-7), NDUFS6 (HR 0.68, CI 0.59-0.76, p 1.5e-8), and C7orf50 (HR 0.74, 0.6-0.91, p 0.0059) were found significantly associated with a worse RFS and exhibited a negative correlation between methylation levels and gene expression. Among the hypermethylated genes, MFSD7 (HR 1.31, CI 1.15-1.49, p 6.1e-5), PLA2G3 (HR 1.15, CI 1.09-1.40, p 0.0016), and FGFR2 (HR 1.27, CI 1.11-1.45, p 3.6e-4) were significantly associated to a better RFS and showed a strong negative correlation. Additionally, NDUFS6 mRNA levels were found to be increased in patients with worse response to adjuvant chemotherapy (p 0.012, 1.5x higher; ROC 0.733), while C7orf50 expression levels was associated with a better outcome following adjuvant ET (p 0.012, 1.3x higher, ROC 0.795). Conclusion: In this exploratory study, 6 differentially methylated genes were identified to discriminate patients with non-high RS who may be at a higher risk of relapse. An effort is ongoing towards the development of an analytical pipeline including a more extensive annotation of both experimental and validation cohorts.</jats:p><jats:p>Citation Format: Jesus Fuentes-Antrás, Vanesa García-Barberán, Nicolas Costa-Fraga, Fernando Moreno, Aida Bao-Caamano, Aitor Rodríguez-Casanova, Alfonso López de Sá, Alicia De Luna, Igor Lopez-Cade, Carmen Ramirez-Ruda, Alejando Pascual, Pedro Perez-Segura, Balázs Győrffy, Alberto Ocaña, Angel Diaz-Lagares, Jose Angel Garcia-Saenz. Genome-wide DNA methylation analysis identifies novel biomarkers associated with risk of relapse beyond oncotype DX recurrence-score risk assessment within HR+/HER2- early-stage breast cancer patients [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-05-06.</jats:p>

Topics
  • impedance spectroscopy
  • chemical ionisation