1995
DOI: 10.1007/bf00203732
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Hepatic neoplasia: reflections and ruminations

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Cited by 7 publications
(3 citation statements)
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References 223 publications
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“…Interestingly, some cells were rich in AFP granules in cytoplasm, increased in size, and existed with c-Myc-positive cells (Figure 3B), which was most likely hepatocytes in premalignant transformation [20, 21]. Furthermore, transcription factor octamer-binding transcription factor (Oct)-4 co-expressed with ALB in cytoplasm (Figure 3C).…”
Section: Resultsmentioning
confidence: 99%
“…Interestingly, some cells were rich in AFP granules in cytoplasm, increased in size, and existed with c-Myc-positive cells (Figure 3B), which was most likely hepatocytes in premalignant transformation [20, 21]. Furthermore, transcription factor octamer-binding transcription factor (Oct)-4 co-expressed with ALB in cytoplasm (Figure 3C).…”
Section: Resultsmentioning
confidence: 99%
“…This idea was first articulated by Van Rensselaer Potter and colleagues in the early 1970s, who proposed that primary liver cancer would rather be due to blockage during the development of immature liver cells than de-differentiation of mature cells (49)(50)(51). However, this concept was challenged by the fact that in addition to HCC, fetal type liver enzymes are also present in preneoplastic nodules (52). Currently, the cells in nodules are no longer considered to develop cancer, but rather act as protectors to remove toxicity of carcinogens (43).…”
Section: Cellular Origins Of Hepatocellular Carcinomamentioning
confidence: 99%
“…Subsequently, they increase in size and become moderately or poorly differentiated cancerous tissues producing AFP [73]. This suggests that HCC might arise due to dedifferentiation of mature hepatocytes that have retained their ability to divide [74]. In addition, it is now accepted that the arrested differentiation of tissue-based stem cells or their immediate progenitors, the concept of blocked ontogeny, is linked to hepatocarcinogenesis [75–77].…”
Section: Translating Liver Development To Disease Modelsmentioning
confidence: 99%