Connection

Co-Authors

This is a "connection" page, showing publications co-authored by FUNDA MERIC-BERNSTAM and AGDA KARINA B. ETEROVIC.
Connection Strength

2.188
  1. Dynamic clonal remodelling in breast cancer metastases is associated with subtype conversion. Eur J Cancer. 2019 10; 120:54-64.
    View in: PubMed
    Score: 0.174
  2. Correction: A feasibility study of returning clinically actionable somatic genomic alterations identified in a research laboratory. Oncotarget. 2019 Aug 27; 10(50):5254.
    View in: PubMed
    Score: 0.174
  3. Phase II trial of AKT inhibitor MK-2206 in patients with advanced breast cancer who have tumors with PIK3CA or AKT mutations, and/or PTEN loss/PTEN mutation. Breast Cancer Res. 2019 07 05; 21(1):78.
    View in: PubMed
    Score: 0.172
  4. Expanded analysis of secondary germline findings from matched tumor/normal sequencing identifies additional clinically significant mutations. JCO Precis Oncol. 2019; 3.
    View in: PubMed
    Score: 0.169
  5. Molecular determinants of post-mastectomy breast cancer recurrence. NPJ Breast Cancer. 2018; 4:34.
    View in: PubMed
    Score: 0.164
  6. Survival Outcomes by TP53 Mutation Status in Metastatic Breast Cancer. JCO Precis Oncol. 2018; 2018.
    View in: PubMed
    Score: 0.158
  7. A Population of Heterogeneous Breast Cancer Patient-Derived Xenografts Demonstrate Broad Activity of PARP Inhibitor in BRCA1/2 Wild-Type Tumors. Clin Cancer Res. 2017 Nov 01; 23(21):6468-6477.
    View in: PubMed
    Score: 0.153
  8. A feasibility study of returning clinically actionable somatic genomic alterations identified in a research laboratory. Oncotarget. 2017 Jun 27; 8(26):41806-41814.
    View in: PubMed
    Score: 0.150
  9. Correction: Ability to Generate Patient-Derived Breast Cancer Xenografts Is Enhanced in Chemoresistant Disease and Predicts Poor Patient Outcomes. PLoS One. 2016; 11(3):e0151121.
    View in: PubMed
    Score: 0.137
  10. Ability to Generate Patient-Derived Breast Cancer Xenografts Is Enhanced in Chemoresistant Disease and Predicts Poor Patient Outcomes. PLoS One. 2015; 10(9):e0136851.
    View in: PubMed
    Score: 0.132
  11. A decision support framework for genomically informed investigational cancer therapy. J Natl Cancer Inst. 2015 Jul; 107(7).
    View in: PubMed
    Score: 0.128
  12. Clinical actionability enhanced through deep targeted sequencing of solid tumors. Clin Chem. 2015 Mar; 61(3):544-53.
    View in: PubMed
    Score: 0.127
  13. Catalytic mTOR inhibitors can overcome intrinsic and acquired resistance to allosteric mTOR inhibitors. Oncotarget. 2014 Sep 30; 5(18):8544-57.
    View in: PubMed
    Score: 0.124
  14. The impact of tumor heterogeneity on patient treatment decisions. Clin Chem. 2013 Jan; 59(1):38-40.
    View in: PubMed
    Score: 0.054
  15. Prospective Clinical Sequencing of Adult Glioma. Mol Cancer Ther. 2019 05; 18(5):991-1000.
    View in: PubMed
    Score: 0.042
  16. Novel algorithmic approach predicts tumor mutation load and correlates with immunotherapy clinical outcomes using a defined gene mutation set. BMC Med. 2016 10 25; 14(1):168.
    View in: PubMed
    Score: 0.036
  17. ClinSeK: a targeted variant characterization framework for clinical sequencing. Genome Med. 2015; 7(1):34.
    View in: PubMed
    Score: 0.032
  18. Functional consequence of the MET-T1010I polymorphism in breast cancer. Oncotarget. 2015 Feb 20; 6(5):2604-14.
    View in: PubMed
    Score: 0.032
  19. Bias from removing read duplication in ultra-deep sequencing experiments. Bioinformatics. 2014 04 15; 30(8):1073-1080.
    View in: PubMed
    Score: 0.029
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.