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Enregistrement W2107748497 · doi:10.1080/019131201753343539

Hepatocellular Carcinoma: An Update

2001· review· en· W2107748497 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueUltrastructural Pathology · 2001
Typereview
Langueen
DomaineMedicine
ThématiqueHepatocellular Carcinoma Treatment and Prognosis
Établissements canadiensSudbury Regional Hospital
Organismes subventionnairesnon disponible
Mots-clésHepatocellular carcinomaCancer researchCarcinomaMedicineBiologyComputational biologyOncologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Hepatocellular carcinoma (HCC) is the most common malignant tumor of males in the world, with an incidence of 1,000,000 new cases a year. It is endemic in Southeast Asia and Sub-Saharan Africa. Risk factors include chronic infection with hepatitis B virus (HBV) and hepatitis C virus (HCV), Aflatoxin B1 uptake, hemochromatosis, and alpha1 -antitripsin deficiency. Epidemiological studies provide evidence for the association of HCC with HBV infection. The incidence of HCC is high in regions hyperendemic for HBV. Chronic carrier state and maternal-infant transmission are important factors in the development of HCC. Evidence of direct oncogenic effect of H BV is well established, HCCs contain viral DNA sequences integrated into hepatocyte DNA that act as random insertional mutagens, and these sites are near genes involved in the control of proliferation and differentiation. The mechanism of hepatitis C virus in hepatocarcinogenesis is still imprecise but a high percentage of cases are related to this virus. Chronic alcohol consumption and cirrhosis are cofactors that increase the development of HCC in patients with chronic viral infection. In experimental carcinogenesis a multipotential element called oval cell proliferates in the early stages. The cellular events are accompanied by increased expression of several growth factors that enhance the survival of carcinogen-activated cells by suppressing apoptosis and increasing elements entering the cell cycle. Hepatic carcinogenesis is a complex process associated with accumulation of genetic and epigenetic changes that run through steps of initiation, promotion and progression. Activation of oncogenes of the "ras" family and others has been detected during chemically-induced HCC in rodents, but there is little evidence of such activation in human tumors. The role of tumor supressor genes such as retinoblastoma (RB) and P53 genes has been documented. Aflatoxin B1 that contaminates foods in endemic areas has a clear role in hepatocarcinogenesis. Metabolites of this toxin promote apurinic sites and G to T mutations in chromosomal DNA, the third base of codon 249 of the P53 gene is preferentially targeted to form aducts with aflatoxin B1, and this mutation has been specifically identified in HBV infection. Histological and cytological criteria for the diagnosis of HCC are well established and are based in architectural and cytological changes. An important issue is the diagnosis of liver "nodules" detected by image, from which small biopsies or aspiration material is obtained. Special studies such as reticulin, CD34, cytokeratin profile, and MOC-31 can be very useful for the differential diagnosis of primary and metastatic tumors. Telomerase activity has been found in HCC and negative in pericancerous tissue. It is more pronounced in poorly differentiated tumors and correlates with factors of clinical importance, such as prognosis and recurrences. Cells of well-differentiated HCC have an ultrastructural appearance similar to normal hepatocytes. During the process of dedifferentiation, there is progressive loss of organization of intracellular organelles. The cell cohesion is lost, intercellular gaps with microvilli appear, the sinusoids become capillarized, and reparative changes are seen in the spaces of Disse. A variety of inclusions, such as Mallory bodies, granular material, secondary lysosomes, and Dubin-Johnson pigment, have been described. Fibrolamellar carcinoma has a characteristic histological picture and ultrastructurally oncocytic features. Neuroendocrine granules and combination of HCC with bile duct carcinoma are seen by electron microscopy.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,957
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,092
Tête enseignante GPT0,312
Écart entre enseignants0,220 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle