10 Matching Annotations
  1. Jun 2026
  2. www.sciencedirect.com www.sciencedirect.com
    Targeting arginine metabolism overcomes chemotherapy resistance in aggressive-variant prostate cancers
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    sciencedirect.com/science/article/pii/S2589004226015592
  3. May 2026
  4. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov
    BMAL2 is a druggable target for ovarian clear cell carcinoma (OCCC)
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    pmc.ncbi.nlm.nih.gov/articles/PMC13179388/
  5. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov
    A personalized therapeutic approach for liver cancers expressing the African-centric P47S variant of TP53
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    pmc.ncbi.nlm.nih.gov/articles/PMC13147292/
  6. Mar 2026
  7. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov
    XPO1R749Q Mutations Co-occur with POLE Mutations in Cancer and can be Targeted to Overcome Chemoresistance
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    pmc.ncbi.nlm.nih.gov/articles/PMC12354660/
  8. Jan 2026
  9. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov
    Genome-wide CRISPR screening reveals a PKA-driven resistance mechanism to metformin for oral cancer prevention that can be exploited by combination with NSAIDs
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    pmc.ncbi.nlm.nih.gov/articles/PMC12826122/
  10. www.sciencedirect.com www.sciencedirect.com
    Exploiting the polypharmacology of alectinib for synergistic RNA splicing disruption with RBM39 degraders
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    sciencedirect.com/science/article/pii/S2211124725015566
  11. Nov 2025
  12. www.sciencedirect.com www.sciencedirect.com
    MYC inhibition by Omomyc causes DNA damage and overcomes PARPi resistance in breast cancer
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    sciencedirect.com/science/article/pii/S2211124725013762
  13. Oct 2025
  14. www.biorxiv.org www.biorxiv.org
    Co-targeting MERTK and EGFR with a Bispecific Antibody Overcomes Drug Resistance Across Mutations in Exons 19, 20, and 21
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    biorxiv.org/content/10.1101/2025.10.16.681972v1
  15. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov
    CRISPR Screen Identifies HDAC3 as a Novel Radiosensitizing Target in Small Cell Lung Cancer
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    pmc.ncbi.nlm.nih.gov/articles/PMC12493205/
  16. Jul 2025
  17. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov
    A Machine Learning–Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia
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    pmc.ncbi.nlm.nih.gov/articles/PMC12260508/