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Connection

Abir Mukherjee to Humans

This is a "connection" page, showing publications Abir Mukherjee has written about Humans.
Connection Strength

0.195
  1. Adipocytes reprogram cancer cell metabolism by diverting glucose towards glycerol-3-phosphate thereby promoting metastasis. Nat Metab. 2023 09; 5(9):1563-1577.
    View in: PubMed
    Score: 0.028
  2. The adipocyte microenvironment and cancer. Cancer Metastasis Rev. 2022 09; 41(3):575-587.
    View in: PubMed
    Score: 0.026
  3. Isolation of Primary Normal and Cancer-Associated Adipocytes from the Omentum. Methods Mol Biol. 2022; 2424:167-175.
    View in: PubMed
    Score: 0.025
  4. Adipocyte-Induced FABP4 Expression in Ovarian Cancer Cells Promotes Metastasis and Mediates Carboplatin Resistance. Cancer Res. 2020 04 15; 80(8):1748-1761.
    View in: PubMed
    Score: 0.022
  5. Unsaturated Fatty Acids Maintain Cancer Cell Stemness. Cell Stem Cell. 2017 03 02; 20(3):291-292.
    View in: PubMed
    Score: 0.018
  6. Lysophosphatidic Acid Up-Regulates Hexokinase II and Glycolysis to Promote Proliferation of Ovarian Cancer Cells. Neoplasia. 2015 Sep; 17(9):723-734.
    View in: PubMed
    Score: 0.016
  7. Lysophosphatidic acid activates lipogenic pathways and de novo lipid synthesis in ovarian cancer cells. J Biol Chem. 2012 Jul 20; 287(30):24990-5000.
    View in: PubMed
    Score: 0.013
  8. Lysophosphatidic acid induces tumor necrosis factor-alpha to regulate a pro-inflammatory cytokine network in ovarian cancer. FASEB J. 2020 10; 34(10):13935-13948.
    View in: PubMed
    Score: 0.006
  9. Fibroblasts Mobilize Tumor Cell Glycogen to Promote Proliferation and Metastasis. Cell Metab. 2019 01 08; 29(1):141-155.e9.
    View in: PubMed
    Score: 0.005
  10. The Tumor Microenvironment Takes Center Stage in Ovarian Cancer Metastasis. Trends Cancer. 2018 08; 4(8):517-519.
    View in: PubMed
    Score: 0.005
  11. Adipocyte-induced CD36 expression drives ovarian cancer progression and metastasis. Oncogene. 2018 04; 37(17):2285-2301.
    View in: PubMed
    Score: 0.005
  12. Hyperglycemia-induced metabolic compensation inhibits metformin sensitivity in ovarian cancer. Oncotarget. 2015 Sep 15; 6(27):23548-60.
    View in: PubMed
    Score: 0.004
  13. Molecular pathways: trafficking of metabolic resources in the tumor microenvironment. Clin Cancer Res. 2015 Feb 15; 21(4):680-6.
    View in: PubMed
    Score: 0.004
  14. Metformin inhibits ovarian cancer growth and increases sensitivity to paclitaxel in mouse models. Am J Obstet Gynecol. 2015 Apr; 212(4):479.e1-479.e10.
    View in: PubMed
    Score: 0.004
  15. Gene expression of the lysophosphatidic acid receptor 1 is a target of transforming growth factor beta. Oncogene. 2013 Jun 27; 32(26):3198-206.
    View in: PubMed
    Score: 0.003
  16. Lysophosphatidic acid-induced p21Waf1 expression mediates the cytostatic response of breast and ovarian cancer cells to TGFß. Mol Cancer Res. 2011 Nov; 9(11):1562-70.
    View in: PubMed
    Score: 0.003
  17. Differential requirement of the epidermal growth factor receptor for G protein-mediated activation of transcription factors by lysophosphatidic acid. Mol Cancer. 2010 Jan 14; 9:8.
    View in: PubMed
    Score: 0.003
  18. Sp-1 and c-Myc mediate lysophosphatidic acid-induced expression of vascular endothelial growth factor in ovarian cancer cells via a hypoxia-inducible factor-1-independent mechanism. Clin Cancer Res. 2009 Jan 15; 15(2):492-501.
    View in: PubMed
    Score: 0.003
  19. Role of LPA4/p2y9/GPR23 in negative regulation of cell motility. Mol Biol Cell. 2008 Dec; 19(12):5435-45.
    View in: PubMed
    Score: 0.002
  20. Transcriptional and post-transcriptional mechanisms for lysophosphatidic acid-induced cyclooxygenase-2 expression in ovarian cancer cells. FASEB J. 2008 Aug; 22(8):2639-51.
    View in: PubMed
    Score: 0.002
  21. Promoter hyper-methylation of calcium binding proteins S100A6 and S100A2 in human prostate cancer. Prostate. 2005 Dec 01; 65(4):322-30.
    View in: PubMed
    Score: 0.002
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.