An interferon-related gene signature for DNA damage resistance is a predictive marker for chemotherapy and radiation for breast cancer
By R. Weichselbaum, Hemant Ishwaran, T. Yoon, D. Nuyten, Samuel W. Baker, N. Khodarev, A. Su, A. Shaikh, Paul Roach, B. Kreike and 5 more. Proceedings of the National Academy of Sciences of the United States of America, 2008
595 citations recorded by the source corpus.
Subfields: Oncology, Pathology and Forensic Medicine
View Paper: https://www.semanticscholar.org/paper/7c651f8cd8e712d72f00480091f5c51303ded01f
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In Oncology
Citations in the corpus
- The Efficacy of Radiotherapy Relies Upon Induction of Type I Interferon-Dependent Innate and Adaptive Immunity (2011, unknown): “Recent studies suggest that STAT1 dependent genes are upregulated following local delivery of RT, which has been associated with a radioresistant phenotype that correlates with increased tumor aggressiveness and metastasis raising (15-17).”
- Interferon-Gamma at the Crossroads of Tumor Immune Surveillance or Evasion (2018, background): “In addition, IFN-related gene signature is a predictive marker for chemotherapy and radiotherapy efficiency for breast cancer (94) as well as to PD-1 or cytotoxic T lymphocyte antigen-4 (CTLA-4) blockade in various types of malignancies (233–235).”
- Exosome transfer from stromal to breast cancer cells regulates therapy resistance pathways. (2014, background): “Pre- viously, we characterized a gene signature for radiation (RT) and chemotherapy (chemo) resistance that was discovered through in vivo selection for RT-resistant tumors (Khodarev et al., 2004; Weichselbaum et al., 2008).”
- Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockade (2016, unknown): “Due to the large number of genes differentially expressed in Res 499 compared to B16, we integrated transcriptomic data from mice and patients to examine only genes that included (1) annotated type I and II IFNs; (2) ISGs that we previously described to be robustly expressed across human cancers (We”
- High-Dimensional Variable Selection for Survival Data (2010, background): “Combined with the extremely adaptive nature of forests, VIMP has been found to be effective in many applied settings for filtering variables (Breiman 2001b; Lunetta et al. 2004; Bureau et al. 2005; Diaz-Uriarte and Alvares 2006; Weichselbaum et al. 2008; Ishwaran et al. 2009).”