Connection

Co-Authors

This is a "connection" page, showing publications co-authored by RACHEL SCHIFF and CHAD CREIGHTON.
Connection Strength

2.021
  1. Proteomic and transcriptomic profiling reveals a link between the PI3K pathway and lower estrogen-receptor (ER) levels and activity in ER+ breast cancer. Breast Cancer Res. 2010; 12(3):R40.
    View in: PubMed
    Score: 0.384
  2. Development of resistance to targeted therapies transforms the clinically associated molecular profile subtype of breast tumor xenografts. Cancer Res. 2008 Sep 15; 68(18):7493-501.
    View in: PubMed
    Score: 0.339
  3. Molecular profiles of progesterone receptor loss in human breast tumors. Breast Cancer Res Treat. 2009 Mar; 114(2):287-99.
    View in: PubMed
    Score: 0.330
  4. FOXA1 overexpression mediates endocrine resistance by altering the ER transcriptome and IL-8 expression in ER-positive breast cancer. Proc Natl Acad Sci U S A. 2016 10 25; 113(43):E6600-E6609.
    View in: PubMed
    Score: 0.148
  5. Blockade of AP-1 Potentiates Endocrine Therapy and Overcomes Resistance. Mol Cancer Res. 2016 05; 14(5):470-81.
    View in: PubMed
    Score: 0.143
  6. Overcoming endocrine resistance due to reduced PTEN levels in estrogen receptor-positive breast cancer by co-targeting mammalian target of rapamycin, protein kinase B, or mitogen-activated protein kinase kinase. Breast Cancer Res. 2014 Sep 11; 16(5):430.
    View in: PubMed
    Score: 0.128
  7. Upregulation of mucin4 in ER-positive/HER2-overexpressing breast cancer xenografts with acquired resistance to endocrine and HER2-targeted therapies. Breast Cancer Res Treat. 2012 Jul; 134(2):583-93.
    View in: PubMed
    Score: 0.110
  8. Tamoxifen resistance in breast tumors is driven by growth factor receptor signaling with repression of classic estrogen receptor genomic function. Cancer Res. 2008 Feb 01; 68(3):826-33.
    View in: PubMed
    Score: 0.081
  9. A CTC-Cluster-Specific Signature Derived from OMICS Analysis of Patient-Derived Xenograft Tumors Predicts Outcomes in Basal-Like Breast Cancer. J Clin Med. 2019 10 24; 8(11).
    View in: PubMed
    Score: 0.046
  10. Combinatorial inhibition of PTPN12-regulated receptors leads to a broadly effective therapeutic strategy in triple-negative breast cancer. Nat Med. 2018 05; 24(4):505-511.
    View in: PubMed
    Score: 0.041
  11. GPCRs profiling and identification of GPR110 as a potential new target in HER2+ breast cancer. Breast Cancer Res Treat. 2018 Jul; 170(2):279-292.
    View in: PubMed
    Score: 0.041
  12. Circulating and disseminated tumor cells from breast cancer patient-derived xenograft-bearing mice as a novel model to study metastasis. Breast Cancer Res. 2015 Jan 09; 17:3.
    View in: PubMed
    Score: 0.033
  13. An epigenomic approach to therapy for tamoxifen-resistant breast cancer. Cell Res. 2014 Jul; 24(7):809-19.
    View in: PubMed
    Score: 0.031
  14. Pathway-centric integrative analysis identifies RRM2 as a prognostic marker in breast cancer associated with poor survival and tamoxifen resistance. Neoplasia. 2014 May; 16(5):390-402.
    View in: PubMed
    Score: 0.031
  15. Amplification and over-expression of MAP3K3 gene in human breast cancer promotes formation and survival of breast cancer cells. J Pathol. 2014 Jan; 232(1):75-86.
    View in: PubMed
    Score: 0.031
  16. SGK3 is associated with estrogen receptor expression in breast cancer. Breast Cancer Res Treat. 2012 Jul; 134(2):531-41.
    View in: PubMed
    Score: 0.027
  17. A SUMOylation-dependent transcriptional subprogram is required for Myc-driven tumorigenesis. Science. 2012 Jan 20; 335(6066):348-53.
    View in: PubMed
    Score: 0.027
  18. Activation of multiple proto-oncogenic tyrosine kinases in breast cancer via loss of the PTPN12 phosphatase. Cell. 2011 Mar 04; 144(5):703-18.
    View in: PubMed
    Score: 0.025
  19. Int6 regulates both proteasomal degradation and translation initiation and is critical for proper formation of acini by human mammary epithelium. Oncogene. 2011 Feb 10; 30(6):724-36.
    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.