Connection

Co-Authors

This is a "connection" page, showing publications co-authored by YUANQING YE and CHARLES LU.
Connection Strength

0.245
  1. Association between Genetic Variants in DNA Double-Strand Break Repair Pathways and Risk of Radiation Therapy-Induced Pneumonitis and Esophagitis in Non-Small Cell Lung Cancer. Cancers (Basel). 2016 Feb 18; 8(2).
    View in: PubMed
    Score: 0.034
  2. Inflammation-related genetic variants predict toxicity following definitive radiotherapy for lung cancer. Clin Pharmacol Ther. 2014 Nov; 96(5):609-15.
    View in: PubMed
    Score: 0.031
  3. Wnt signaling pathway pharmacogenetics in non-small cell lung cancer. Pharmacogenomics J. 2014 Dec; 14(6):509-22.
    View in: PubMed
    Score: 0.030
  4. Inflammation-related genetic variations and survival in patients with advanced non-small cell lung cancer receiving first-line chemotherapy. Clin Pharmacol Ther. 2014 Sep; 96(3):360-369.
    View in: PubMed
    Score: 0.030
  5. Genome-wide association study of genetic predictors of overall survival for non-small cell lung cancer in never smokers. Cancer Res. 2013 Jul 01; 73(13):4028-38.
    View in: PubMed
    Score: 0.028
  6. Genome-wide association study of survival in non-small cell lung cancer patients receiving platinum-based chemotherapy. J Natl Cancer Inst. 2011 May 18; 103(10):817-25.
    View in: PubMed
    Score: 0.024
  7. Genetic variants in inflammation-related genes are associated with radiation-induced toxicity following treatment for non-small cell lung cancer. PLoS One. 2010 Aug 25; 5(8):e12402.
    View in: PubMed
    Score: 0.023
  8. PI3K/PTEN/AKT/mTOR pathway genetic variation predicts toxicity and distant progression in lung cancer patients receiving platinum-based chemotherapy. Lung Cancer. 2011 Jan; 71(1):82-8.
    View in: PubMed
    Score: 0.023
  9. Germline genetic variations in drug action pathways predict clinical outcomes in advanced lung cancer treated with platinum-based chemotherapy. Pharmacogenet Genomics. 2008 Nov; 18(11):955-65.
    View in: PubMed
    Score: 0.021
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.