Journal Article DKFZ-2020-00224

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A network analysis to identify mediators of germline-driven differences in breast cancer prognosis.

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2020
Nature Publishing Group UK [London]

Nature Communications 11(1), 312 () [10.1038/s41467-019-14100-6]
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Abstract: Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies ~7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effects of genetic variants across multiple genes, we identify four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease. The modules show biological enrichment for cancer-related processes such as G-alpha signaling, circadian clock, angiogenesis, and Rho-GTPases in apoptosis.

Classification:

Contributing Institute(s):
  1. C071 Cancer Survivorship (C071)
  2. C020 Epidemiologie von Krebs (C020)
  3. C070 Klinische Epidemiologie und Alternf. (C070)
  4. Präventive Onkologie (C120)
  5. DKTK HD zentral (HD01)
  6. Molekulare Epidemiologie (C080)
  7. C055 Genomische Epidemiologie (C055)
  8. B072 Molekulargenetik des Mammakarzinoms (B072)
  9. B070 Funktionelle Genomanalyse (B070)
Research Program(s):
  1. 319H - Addenda (POF3-319H) (POF3-319H)

Appears in the scientific report 2020
Database coverage:
Medline ; Creative Commons Attribution CC BY (No Version) ; DOAJ ; BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Agriculture, Biology and Environmental Sciences ; Current Contents - Life Sciences ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; IF >= 10 ; JCR ; NCBI Molecular Biology Database ; PubMed Central ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection ; Zoological Record
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Document types > Articles > Journal Article
Institute Collections > C020
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 Record created 2020-01-20, last modified 2024-02-29



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