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1.
Pathol Oncol Res ; 26(1): 167-173, 2020 Jan.
Article in English | MEDLINE | ID: mdl-29435733

ABSTRACT

Hepatocellular carcinoma (HCC) is the most common type of primary malignant tumor in the liver. One of the main features of cancer survival is the generalized loss of growth control exhibited by cancer cells, and Miki is a protein related to the immunoglobulin superfamily that plays an important role in mitosis. We aim to study protein expression levels of Miki in non-tumoral liver and 20 HCCs recruited from a Pathology Department. Clinical information was also obtained. A tissue microarray was performed, and immunohistochemical techniques applied to study protein expression levels of Miki. In normal liver, Miki was weakly expressed, showing nuclear staining in the hepatocytes. Cirrhotic areas and HCCs showed a variety of staining patterns. Most HCC samples showed positive expression, with three different staining patterns being discernible: nuclear, cytoplasmic and mixed. Statistical analysis showed a significant association between grade of differentiation, Ki-67 proliferative index, survival rates and staining patterns. This study has revealed the positive expression of Miki in normal liver, cirrhotic areas and HCCs. Three different staining patterns of Miki expression with clinical relevance were noted in HCCs.


Subject(s)
Carcinoma, Hepatocellular/metabolism , Cell Cycle Proteins/metabolism , Liver Neoplasms/metabolism , Aged , Aged, 80 and over , Carcinoma, Hepatocellular/pathology , Cell Nucleus/metabolism , Cytoplasm/metabolism , Female , Humans , Immunohistochemistry , Kaplan-Meier Estimate , Ki-67 Antigen/metabolism , Liver/metabolism , Liver Cirrhosis/metabolism , Liver Cirrhosis/pathology , Liver Neoplasms/mortality , Liver Neoplasms/pathology , Male , Middle Aged
2.
Cell Oncol (Dordr) ; 41(2): 213-221, 2018 Apr.
Article in English | MEDLINE | ID: mdl-29218546

ABSTRACT

PURPOSE: Glioblastoma (GBM) ranks among the most challenging cancers to treat and there is an urgent need for clinically relevant prognostic and diagnostic biomarkers. Here, we set out to investigate the expression of eight proteins (bcl-2, cyclin D1, p16, p21, p27, p53, Sox11 and WT1) in GBM with the specific aim to establish immunohistochemistry cut-off points with clinical relevance. METHODS: Immunohistochemistry (IHC) was used to examine protein expression in 55 surgical GBM specimens using H-scores, and IHC cut-off points were established using the Cutoff Finder web platform. Protein co-expression and its correlation with histopathological features were assessed, and cases were classified according to IDH1 mutation status. Survival curves were determined using Kaplan-Meier analyses. RESULTS: Clinical and molecular parameters found to be correlated with overall survival (OS) were tumor size (r = -0.278; p = 0.048), p53 (r = -0.452; p = 0.001), p16 (r = 0.351; p = 0.012) and Sox11 (r = 0.324; p = 0.020). In addition, we found that tumor size correlated with cyclin D1 (r = -0.282; p = 0.037), p53 (r = 0.269; p = 0.041), Sox11 (r = -0.309; p = 0.022) and WT1 (r = -0.372; p = 0.003). Variables found to be significantly associated with IDH1 mutation status were OS (p < 0.01), age (p < 0.01), cyclin D1 (p = 0.046), p16 (p = 0.019) and Sox11 (p = 0.012). Variables found to be significantly associated with a poor survival were tumor size >5 cm (p < 0.001), bcl-2 score > 40 (p = 0.034), cyclin D1 score ≤ 70 (p = 0.004), p16 score ≤ 130 (p = 0.005), p53 score > 20 (p = 0.003), Sox11 score ≤ 40 (p < 0.001) and WT1 score ≤ 270 (p = 0.02). CONCLUSIONS: Correlations between protein biomarkers and main clinical GBM variables were identified. The establishment of distinct biomarker cut-off points may enable clinicians and pathologists to better weigh their prognostic value.


Subject(s)
Cyclin D1/metabolism , Cyclin-Dependent Kinase Inhibitor p16/metabolism , Cyclin-Dependent Kinase Inhibitor p21/metabolism , Glioblastoma/metabolism , Tumor Suppressor Protein p53/metabolism , Female , Humans , Immunohistochemistry , Male , Middle Aged , SOXC Transcription Factors/metabolism , Tissue Array Analysis , WT1 Proteins/metabolism
3.
J Clin Endocrinol Metab ; 98(5): E1012-6, 2013 May.
Article in English | MEDLINE | ID: mdl-23493432

ABSTRACT

CONTEXT: Succinate dehydrogenase complex, subunit D (SDHD) mutations cause pheochromocytoma/paraganglioma syndrome. SDHD, located at chromosome 11q23, shows a parent-of-origin effect because the disease is observed almost exclusively when the mutation is transmitted from the father, although some cases of maternal transmission have been reported. Several hypotheses have been proposed for this peculiar inheritance pattern, but the underlying mechanisms have not yet been clearly elucidated. OBJECTIVE: The objective of the study was to explain the parent-of-origin effect in a family, mainly affected by paternally transmitted paragangliomas, and with a maternally transmitted renal tumor. PATIENTS: Peripheral blood DNA from 15 carriers and 7 tumor DNA samples from SDHD-p.Trp5* carriers were studied. METHODS: We conducted mutation genotyping and microsatellite marker analysis in germline and tumor DNA and methylation status analysis in tumor DNA by methylation-specific multiplex ligation-dependent probe amplification. RESULTS: Mutation genotyping and microsatellite marker analysis demonstrated loss of heterozygosity of the wild-type allele (maternal) in all studied tumors, except the renal tumor, which lost the mutated allele (maternal), and the prostate tumor, which had no loss of heterozygosity. The methylation-specific multiplex ligation-dependent probe amplification demonstrated that the methylation profile corresponded exclusively to the paternal chromosome without genomic loss, suggesting paternal uniparental disomy as the mechanism underlying the parent-of-origin effect in this SDHD family. CONCLUSIONS: The paternal uniparental disomy involves the loss of maternally imprinted cell cycle regulators and the overexpression of paternally imprinted growth activators, leading to tumorigenesis in this syndrome.


Subject(s)
Loss of Heterozygosity , Mutation , Paraganglioma/genetics , Succinate Dehydrogenase/genetics , Uniparental Disomy/genetics , Alleles , Chromosomes, Human, Pair 11/genetics , Chromosomes, Human, Pair 11/metabolism , Codon, Nonsense , DNA Methylation , DNA, Neoplasm/genetics , Family Health , Female , Genetic Markers , Heterozygote , Humans , Male , Microsatellite Repeats , Paraganglioma/blood , Paraganglioma/metabolism , Pedigree , Succinate Dehydrogenase/metabolism
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