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 (3/3 displayed)

  • 2024Diagnostic accuracy of ESR1 mutation detection by cell-free DNA in breast cancer: a systematic review and meta-analysis of diagnostic test accuracy3citations
  • 2020Incorporation of SPION‐casein core‐shells into silk‐fibroin nanofibers for cardiac tissue engineering53citations
  • 2019Spermatogenesis induction of spermatogonial stem cells using nanofibrous poly(l-lactic acid)/multi-walled carbon nanotube scaffolds and naringenin15citations

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Chart of shared publication
Shamshirian, Danial
1 / 1 shared
Alizadeh-Navaei, Reza
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Mirshafiei, Fatemeh
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Esmaeily, Fatemeh
1 / 1 shared
Hoseini, Aref
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Taheri, Mahsa
1 / 8 shared
Heydari, Keyvan
1 / 1 shared
Tabarestani, Mohammad
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Razavi, Alireza
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Hajiabbas, Maryam
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Mahabadi, Vahid Pirhajati
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Soleimani, Masoud
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Rad, Iman
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Bani, Milad Salimi
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Heiranitabasi, Asieh
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Nazari, Mahnaz
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Ghorbani, Sadegh
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Khosrowpour, Zahra
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Eyni, Hossein
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Shabani, Ronak
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Asl, Leila Salari
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Mehdizadeh, Mehdi
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Amjadi, Fatemehsadat
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2024
2020
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Co-Authors (by relevance)

  • Shamshirian, Danial
  • Alizadeh-Navaei, Reza
  • Mirshafiei, Fatemeh
  • Esmaeily, Fatemeh
  • Hoseini, Aref
  • Taheri, Mahsa
  • Heydari, Keyvan
  • Tabarestani, Mohammad
  • Razavi, Alireza
  • Hajiabbas, Maryam
  • Mahabadi, Vahid Pirhajati
  • Soleimani, Masoud
  • Rad, Iman
  • Bani, Milad Salimi
  • Heiranitabasi, Asieh
  • Tafti, Seyed Hossein Ahmadi
  • Nazari, Mahnaz
  • Ghorbani, Sadegh
  • Warkiani, Majid Ebrahimi
  • Khosrowpour, Zahra
  • Eyni, Hossein
  • Shabani, Ronak
  • Asl, Leila Salari
  • Mehdizadeh, Mehdi
  • Amjadi, Fatemehsadat
OrganizationsLocationPeople

article

Diagnostic accuracy of ESR1 mutation detection by cell-free DNA in breast cancer: a systematic review and meta-analysis of diagnostic test accuracy

  • Shamshirian, Danial
  • Alizadeh-Navaei, Reza
  • Mirshafiei, Fatemeh
  • Esmaeily, Fatemeh
  • Nazari, Hojjatollah
  • Hoseini, Aref
  • Taheri, Mahsa
  • Heydari, Keyvan
  • Tabarestani, Mohammad
  • Razavi, Alireza
Abstract

<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Estrogen receptors express in nearly 70% of breast cancers (ER-positive). Estrogen receptor alpha plays a fundamental role as a significant factor in breast cancer progression for the early selection of therapeutic approaches. Accordingly, there has been a surge of attention to non-invasive techniques, including circulating Cell-free DNA (ccfDNA) or Cell-Free DNA (cfDNA), to detect and track ESR1 genotype. Therefore, this study aimed to examine the diagnosis accuracy of ESR1 mutation detection by cell-free DNA in breast cancer patientsthrough a systematic review and comprehensive meta-analysis.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>PubMed, Embase, and Web of Science databases were searched up to 6 April 2022. Diagnostic studies on ESR1 measurement by cfDNA, which was confirmed using the tumour tissue biopsy, have been included in the study. The sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (PLR) and negative likelihood ratio (NLR) were considered to analyse the data.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Out of 649 papers, 13 papers with 15 cohorts, including 389 participants, entered the meta-analyses. The comprehensive meta-analysis indicated a high sensitivity (75.52, 95% CI 60.19–90.85), specificity (88.20, 95% CI 80.99–95.40), and high accuracy of 88.96 (95% CI 83.23–94.69) for plasma ESR1. We also found a moderate PPV of 56.94 (95% CI 41.70–72.18) but a high NPV of 88.53 (95% CI 82.61–94.44). We also found an NLR of 0.443 (95% CI 0.09–0.79) and PLR of 1.60 (95% CI 1.20–1.99).</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>This systematic review and comprehensive meta-analysis reveal that plasma cfDNA testing exhibits high sensitivity and specificity in detecting ESR1 mutations in breast cancer patients. This suggests that the test could be a valuable diagnostic tool. It may serve as a dependable and non-invasive technique for identifying ESR1 mutations in breast cancer patients. However, more extensive research is needed to confirm its prognostic value.</jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • size-exclusion chromatography
  • chemical ionisation