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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Todd Pitts and Natalie Serkova.

 
Connection Strength
 
 
 
0.146
 
  1. Scott AJ, Arcaroli JJ, Bagby SM, Yahn R, Huber KM, Serkova NJ, Nguyen A, Kim J, Thorburn A, Vogel J, Quackenbush KS, Capasso A, Schreiber A, Blatchford P, Klauck PJ, Pitts TM, Eckhardt SG, Messersmith WA. Cabozantinib Exhibits Potent Antitumor Activity in Colorectal Cancer Patient-Derived Tumor Xenograft Models via Autophagy and Signaling Mechanisms. Mol Cancer Ther. 2018 10; 17(10):2112-2122.
    View in: PubMed
    Score: 0.042
  2. Bradshaw-Pierce EL, Pitts TM, Kulikowski G, Selby H, Merz AL, Gustafson DL, Serkova NJ, Eckhardt SG, Weekes CD. Utilization of quantitative in vivo pharmacology approaches to assess combination effects of everolimus and irinotecan in mouse xenograft models of colorectal cancer. PLoS One. 2013; 8(3):e58089.
    View in: PubMed
    Score: 0.029
  3. Morelli MP, Tentler JJ, Kulikowski GN, Tan AC, Bradshaw-Pierce EL, Pitts TM, Brown AM, Nallapareddy S, Arcaroli JJ, Serkova NJ, Hidalgo M, Ciardiello F, Eckhardt SG. Preclinical activity of the rational combination of selumetinib (AZD6244) in combination with vorinostat in KRAS-mutant colorectal cancer models. Clin Cancer Res. 2012 Feb 15; 18(4):1051-62.
    View in: PubMed
    Score: 0.027
  4. Spratlin JL, Pitts TM, Kulikowski GN, Morelli MP, Tentler JJ, Serkova NJ, Eckhardt SG. Synergistic activity of histone deacetylase and proteasome inhibition against pancreatic and hepatocellular cancer cell lines. Anticancer Res. 2011 Apr; 31(4):1093-103.
    View in: PubMed
    Score: 0.025
  5. Tentler JJ, Bradshaw-Pierce EL, Serkova NJ, Hasebroock KM, Pitts TM, Diamond JR, Fletcher GC, Bray MR, Eckhardt SG. Assessment of the in vivo antitumor effects of ENMD-2076, a novel multitargeted kinase inhibitor, against primary and cell line-derived human colorectal cancer xenograft models. Clin Cancer Res. 2010 Jun 01; 16(11):2989-2998.
    View in: PubMed
    Score: 0.024
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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