2002
DOI: 10.1053/jhep.2002.33204
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Proteomic analysis and molecular characterization of tissue ferritin light chain in hepatocellular carcinoma

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Cited by 108 publications
(63 citation statements)
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References 35 publications
(41 reference statements)
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“…2,[11][12][13][14] Comparative analysis of liver tissue and hepatocellular carcinomas might give additional insights into the induction or repression of tumor-associ-ated protein variants within an intact organism. Clinical material was used for proteome analysis comparing normal liver tissue and HCC, [15][16][17] or normal liver, cirrhotic liver, and HCC 18 or sera from HCC patients for the identification of tumor autoantibodies. 19 Different protein variants were proposed as tumor-marker candidates.…”
mentioning
confidence: 99%
“…2,[11][12][13][14] Comparative analysis of liver tissue and hepatocellular carcinomas might give additional insights into the induction or repression of tumor-associ-ated protein variants within an intact organism. Clinical material was used for proteome analysis comparing normal liver tissue and HCC, [15][16][17] or normal liver, cirrhotic liver, and HCC 18 or sera from HCC patients for the identification of tumor autoantibodies. 19 Different protein variants were proposed as tumor-marker candidates.…”
mentioning
confidence: 99%
“…Under normal conditions, it can represent 25% of the total iron found in the body (19). Anemia is the most common hematologic abnormality associated with kidney cancer (1).…”
Section: Discussionmentioning
confidence: 99%
“…In a study to investigate the molecular basis for iron depletion in human HCC, 19 paired HCC tumor and adjacent non-tumor tissue samples were compared using 2D-PAGE-MS. The expression of an iron-storage protein, tissue ferritin light chain, was identified as severely reduced, whereas the corresponding transcript was not changed (Park et al, 2002b). Our group has applied proteomic tools to the comparative analysis of protein profiles between HCC and adjacent non-tumor liver tissues as a means of discovering novel molecular markers (Chignard et al, 2006).…”
Section: Tumor Tissuesmentioning
confidence: 99%