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Connection

Jeanne Wei to Doxorubicin

This is a "connection" page, showing publications Jeanne Wei has written about Doxorubicin.

 
Connection Strength
 
 
 
2.289
 
  1. Todorova VK, Azhar G, Stone A, Malapati SJ, Che Y, Zhang W, Makhoul I, Wei JY. Neutrophil Biomarkers Can Predict Cardiotoxicity of Anthracyclines in Breast Cancer. Int J Mol Sci. 2024 Sep 09; 25(17).
    View in: PubMed
    Score: 0.854
  2. Todorova VK, Bauer MA, Azhar G, Wei JY. RNA sequencing of formalin fixed paraffin-embedded heart tissue provides transcriptomic information about chemotherapy-induced cardiotoxicity. Pathol Res Pract. 2024 May; 257:155309.
    View in: PubMed
    Score: 0.831
  3. Yu LR, Cao Z, Makhoul I, Daniels JR, Klimberg S, Wei JY, Bai JP, Li J, Lathrop JT, Beger RD, Todorova VK. Immune response proteins as predictive biomarkers of doxorubicin-induced cardiotoxicity in breast cancer patients. Exp Biol Med (Maywood). 2018 02; 243(3):248-255.
    View in: PubMed
    Score: 0.134
  4. Todorova VK, Makhoul I, Dhakal I, Wei J, Stone A, Carter W, Owen A, Klimberg VS. Polymorphic Variations Associated With Doxorubicin-Induced Cardiotoxicity in Breast Cancer Patients. Oncol Res. 2017 Sep 21; 25(8):1223-1229.
    View in: PubMed
    Score: 0.127
  5. Todorova VK, Makhoul I, Wei J, Klimberg VS. Circulating miRNA Profiles of Doxorubicin-induced Cardiotoxicity in Breast Cancer Patients. Ann Clin Lab Sci. 2017 Mar; 47(2):115-119.
    View in: PubMed
    Score: 0.127
  6. Todorova VK, Makhoul I, Siegel ER, Wei J, Stone A, Carter W, Beggs ML, Owen A, Klimberg VS. Biomarkers for Presymptomatic Doxorubicin-Induced Cardiotoxicity in Breast Cancer Patients. PLoS One. 2016; 11(8):e0160224.
    View in: PubMed
    Score: 0.122
  7. Todorova VK, Beggs ML, Delongchamp RR, Dhakal I, Makhoul I, Wei JY, Klimberg VS. Transcriptome profiling of peripheral blood cells identifies potential biomarkers for doxorubicin cardiotoxicity in a rat model. PLoS One. 2012; 7(11):e48398.
    View in: PubMed
    Score: 0.094
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.