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Connection

Alexander Pearson to Neoplastic Stem Cells

This is a "connection" page, showing publications Alexander Pearson has written about Neoplastic Stem Cells.
Connection Strength

1.497
  1. Modeling head and neck cancer stem cell-mediated tumorigenesis. Cell Mol Life Sci. 2016 09; 73(17):3279-89.
    View in: PubMed
    Score: 0.501
  2. The IL-6R and Bmi-1 axis controls self-renewal and chemoresistance of head and neck cancer stem cells. Cell Death Dis. 2021 10 23; 12(11):988.
    View in: PubMed
    Score: 0.183
  3. Survival of salivary gland cancer stem cells requires mTOR signaling. Cell Death Dis. 2021 01 21; 12(1):108.
    View in: PubMed
    Score: 0.174
  4. Ablation of Cancer Stem Cells by Therapeutic Inhibition of the MDM2-p53 Interaction in Mucoepidermoid Carcinoma. Clin Cancer Res. 2019 03 01; 25(5):1588-1600.
    View in: PubMed
    Score: 0.150
  5. A mathematical model for IL-6-mediated, stem cell driven tumor growth and targeted treatment. PLoS Comput Biol. 2018 01; 14(1):e1005920.
    View in: PubMed
    Score: 0.141
  6. Isolation and Characterization of Cancer Stem Cells from Primary Head and Neck Squamous Cell Carcinoma Tumors. Methods Mol Biol. 2016; 1395:241-9.
    View in: PubMed
    Score: 0.122
  7. ALDH/CD44 identifies uniquely tumorigenic cancer stem cells in salivary gland mucoepidermoid carcinomas. Oncotarget. 2015 Sep 29; 6(29):26633-50.
    View in: PubMed
    Score: 0.120
  8. In Silico Models Accurately Predict In Vivo Response for IL6 Blockade in Head and Neck Cancer. Cancer Res. 2020 04 01; 80(7):1451-1460.
    View in: PubMed
    Score: 0.041
  9. EGFL6 Regulates the Asymmetric Division, Maintenance, and Metastasis of ALDH+ Ovarian Cancer Cells. Cancer Res. 2016 11 01; 76(21):6396-6409.
    View in: PubMed
    Score: 0.032
  10. 5T4-Targeted Therapy Ablates Cancer Stem Cells and Prevents Recurrence of Head and Neck Squamous Cell Carcinoma. Clin Cancer Res. 2017 May 15; 23(10):2516-2527.
    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.