Connection

Anand Mehta to Carcinoma, Hepatocellular

This is a "connection" page, showing publications Anand Mehta has written about Carcinoma, Hepatocellular.
Connection Strength

5.992
  1. Beyond glyco-proteomics-Understanding the role of genetics in cancer biomarkers. Adv Cancer Res. 2023; 157:57-81.
    View in: PubMed
    Score: 0.681
  2. N-Glycosylation Patterns Correlate with Hepatocellular Carcinoma Genetic Subtypes. Mol Cancer Res. 2021 11; 19(11):1868-1877.
    View in: PubMed
    Score: 0.629
  3. Expression of genes that control core fucosylation in hepatocellular carcinoma: Systematic review. World J Gastroenterol. 2019 Jun 21; 25(23):2947-2960.
    View in: PubMed
    Score: 0.542
  4. N-Linked Glycan Branching and Fucosylation Are Increased Directly in Hcc Tissue As Determined through in Situ Glycan Imaging. J Proteome Res. 2018 10 05; 17(10):3454-3462.
    View in: PubMed
    Score: 0.513
  5. Application of the Doylestown algorithm for the early detection of hepatocellular carcinoma. PLoS One. 2018; 13(8):e0203149.
    View in: PubMed
    Score: 0.513
  6. Biomarker analysis of fucosylated kininogen through depletion of lectin reactive heterophilic antibodies in hepatocellular carcinoma. J Immunol Methods. 2018 11; 462:59-64.
    View in: PubMed
    Score: 0.512
  7. The search for biomarkers of hepatocellular carcinoma and the impact on patient outcome. Curr Opin Pharmacol. 2018 08; 41:74-78.
    View in: PubMed
    Score: 0.502
  8. Changes in the Glycosylation of Kininogen and the Development of a Kininogen-Based Algorithm for the Early Detection of HCC. Cancer Epidemiol Biomarkers Prev. 2017 05; 26(5):795-803.
    View in: PubMed
    Score: 0.461
  9. Novel fucosylated biomarkers for the early detection of hepatocellular carcinoma. Cancer Epidemiol Biomarkers Prev. 2009 Jun; 18(6):1914-21.
    View in: PubMed
    Score: 0.269
  10. Identification and development of fucosylated glycoproteins as biomarkers of primary hepatocellular carcinoma. J Proteome Res. 2009 Feb; 8(2):595-602.
    View in: PubMed
    Score: 0.264
  11. Proteomic analysis of serum associated fucosylated glycoproteins in the development of primary hepatocellular carcinoma. J Proteome Res. 2006 Feb; 5(2):308-15.
    View in: PubMed
    Score: 0.214
  12. Use of targeted glycoproteomics to identify serum glycoproteins that correlate with liver cancer in woodchucks and humans. Proc Natl Acad Sci U S A. 2005 Jan 18; 102(3):779-84.
    View in: PubMed
    Score: 0.199
  13. Biomarkers for the Early Detection of Hepatocellular Carcinoma. Cancer Epidemiol Biomarkers Prev. 2020 12; 29(12):2495-2503.
    View in: PubMed
    Score: 0.143
  14. Two-Dimensional N-Glycan Distribution Mapping of Hepatocellular Carcinoma Tissues by MALDI-Imaging Mass Spectrometry. Biomolecules. 2015 Oct 15; 5(4):2554-72.
    View in: PubMed
    Score: 0.105
  15. MALDI imaging mass spectrometry profiling of N-glycans in formalin-fixed paraffin embedded clinical tissue blocks and tissue microarrays. PLoS One. 2014; 9(9):e106255.
    View in: PubMed
    Score: 0.097
  16. Interleukin-6 and oncostatin M are elevated in liver disease in conjunction with candidate hepatocellular carcinoma biomarker GP73. Cancer Biomark. 2012; 11(4):161-71.
    View in: PubMed
    Score: 0.081
  17. Overexpression of a1,6-fucosyltransferase in hepatoma enhances expression of Golgi phosphoprotein 2 in a fucosylation-independent manner. Int J Oncol. 2011 Jul; 39(1):203-8.
    View in: PubMed
    Score: 0.077
  18. Hepatocellular carcinoma of the liver. Cancer Biomark. 2010; 9(1-6):375-83.
    View in: PubMed
    Score: 0.070
  19. N-linked glycosylation of the liver cancer biomarker GP73. J Cell Biochem. 2008 May 01; 104(1):136-49.
    View in: PubMed
    Score: 0.063
  20. Molecular viral oncology of hepatocellular carcinoma. Oncogene. 2003 Aug 11; 22(33):5093-107.
    View in: PubMed
    Score: 0.045
  21. Hepatitis B virus-mediated changes of apolipoprotein mRNA abundance in cultured hepatoma cells. J Virol. 2003 May; 77(9):5503-6.
    View in: PubMed
    Score: 0.011
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.