Connection

Co-Authors

This is a "connection" page, showing publications co-authored by FUNDA MERIC-BERNSTAM and MARK J ROUTBORT.
Connection Strength

2.011
  1. Targeting ERBB2 (HER2) Amplification Identified by Next-Generation Sequencing in Patients With Advanced or Metastatic Solid Tumors Beyond Conventional Indications. JCO Precis Oncol. 2019; 3.
    View in: PubMed
    Score: 0.183
  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: 0.181
  3. Physician interpretation of genomic test results and treatment selection. Cancer. 2018 03 01; 124(5):966-972.
    View in: PubMed
    Score: 0.160
  4. Clinical Use of Precision Oncology Decision Support. JCO Precis Oncol. 2017; 2017.
    View in: PubMed
    Score: 0.158
  5. 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: 0.156
  6. Multigene clinical mutational profiling of breast carcinoma using next-generation sequencing. Am J Clin Pathol. 2015 Nov; 144(5):713-21.
    View in: PubMed
    Score: 0.139
  7. Clinical next generation sequencing to identify actionable aberrations in a phase I program. Oncotarget. 2015 Aug 21; 6(24):20099-110.
    View in: PubMed
    Score: 0.137
  8. Feasibility of Large-Scale Genomic Testing to Facilitate Enrollment Onto Genomically Matched Clinical Trials. J Clin Oncol. 2015 Sep 01; 33(25):2753-62.
    View in: PubMed
    Score: 0.135
  9. A decision support framework for genomically informed investigational cancer therapy. J Natl Cancer Inst. 2015 Jul; 107(7).
    View in: PubMed
    Score: 0.134
  10. Hotspot mutation panel testing reveals clonal evolution in a study of 265 paired primary and metastatic tumors. Clin Cancer Res. 2015 Jun 01; 21(11):2644-51.
    View in: PubMed
    Score: 0.132
  11. Implementation of biomarker-driven cancer therapy: existing tools and remaining gaps. Discov Med. 2014 Feb; 17(92):101-14.
    View in: PubMed
    Score: 0.123
  12. The Molecular Analysis for Therapy Choice (NCI-MATCH) Trial: Lessons for Genomic Trial Design. J Natl Cancer Inst. 2020 10 01; 112(10):1021-1029.
    View in: PubMed
    Score: 0.049
  13. Pan-Cancer Landscape and Analysis of ERBB2 Mutations Identifies Poziotinib as a Clinically Active Inhibitor and Enhancer of T-DM1 Activity. Cancer Cell. 2020 Mar 16; 37(3):420.
    View in: PubMed
    Score: 0.047
  14. Validation of HER2 Amplification as a Predictive Biomarker for Anti-Epidermal Growth Factor Receptor Antibody Therapy in Metastatic Colorectal Cancer. JCO Precis Oncol. 2019 Dec; 3:1-13.
    View in: PubMed
    Score: 0.046
  15. Pan-Cancer Landscape and Analysis of ERBB2 Mutations Identifies Poziotinib as a Clinically Active Inhibitor and Enhancer of T-DM1 Activity. Cancer Cell. 2019 10 14; 36(4):444-457.e7.
    View in: PubMed
    Score: 0.046
  16. Improving the detection of patients with inherited predispositions to hematologic malignancies using next-generation sequencing-based leukemia prognostication panels. Cancer. 2018 07 01; 124(13):2704-2713.
    View in: PubMed
    Score: 0.041
  17. Classifying Colorectal Cancer by Tumor Location Rather than Sidedness Highlights a Continuum in Mutation Profiles and Consensus Molecular Subtypes. Clin Cancer Res. 2018 03 01; 24(5):1062-1072.
    View in: PubMed
    Score: 0.040
  18. Association of SMAD4 mutation with patient demographics, tumor characteristics, and clinical outcomes in colorectal cancer. PLoS One. 2017; 12(3):e0173345.
    View in: PubMed
    Score: 0.038
  19. Clinical actionability enhanced through deep targeted sequencing of solid tumors. Clin Chem. 2015 Mar; 61(3):544-53.
    View in: PubMed
    Score: 0.033
  20. Beyond BRAF(V600): clinical mutation panel testing by next-generation sequencing in advanced melanoma. J Invest Dermatol. 2015 Feb; 135(2):508-515.
    View in: PubMed
    Score: 0.032
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.