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Connection

Adam Wolfe to Xenograft Model Antitumor Assays

This is a "connection" page, showing publications Adam Wolfe has written about Xenograft Model Antitumor Assays.

 
Connection Strength
 
 
 
1.119
 
  1. Wolfe AR, Robb R, Hegazi A, Abushahin L, Yang L, Shyu DL, Trevino JG, Cruz-Monserrate Z, Jacob JR, Palanichamy K, Chakravarti A, Williams TM. Altered Gemcitabine and Nab-paclitaxel Scheduling Improves Therapeutic Efficacy Compared with Standard Concurrent Treatment in Preclinical Models of Pancreatic Cancer. Clin Cancer Res. 2021 01 15; 27(2):554-565.
    View in: PubMed
    Score: 0.704
  2. Wolfe AR, Feng H, Zuniga O, Rodrigues H, Eldridge DE, Yang L, Shen C, Williams TM. RAS-RAF-miR-296-3p signaling axis increases Rad18 expression to augment radioresistance in pancreatic and thyroid cancers. Cancer Lett. 2024 Jun 01; 591:216873.
    View in: PubMed
    Score: 0.224
  3. Wolfe AR, Debeb BG, Lacerda L, Larson R, Bambhroliya A, Huang X, Bertucci F, Finetti P, Birnbaum D, Van Laere S, Diagaradjan P, Ruffell B, Trenton NJ, Chu K, Hittelman W, Diehl M, Levental I, Ueno NT, Woodward WA. Simvastatin prevents triple-negative breast cancer metastasis in pre-clinical models through regulation of FOXO3a. Breast Cancer Res Treat. 2015 Dec; 154(3):495-508.
    View in: PubMed
    Score: 0.125
  4. Robb R, Yang L, Shen C, Wolfe AR, Webb A, Zhang X, Vedaie M, Saji M, Jhiang S, Ringel MD, Williams TM. Inhibiting BRAF Oncogene-Mediated Radioresistance Effectively Radiosensitizes BRAFV600E-Mutant Thyroid Cancer Cells by Constraining DNA Double-Strand Break Repair. Clin Cancer Res. 2019 08 01; 25(15):4749-4760.
    View in: PubMed
    Score: 0.040
  5. Dayyani F, Parikh NU, Varkaris AS, Song JH, Moorthy S, Chatterji T, Maity SN, Wolfe AR, Carboni JM, Gottardis MM, Logothetis CJ, Gallick GE. Combined Inhibition of IGF-1R/IR and Src family kinases enhances antitumor effects in prostate cancer by decreasing activated survival pathways. PLoS One. 2012; 7(12):e51189.
    View in: PubMed
    Score: 0.026
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.