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1.
Int J Clin Exp Pathol ; 12(3): 1108-1114, 2019.
Article in English | MEDLINE | ID: mdl-31933926

ABSTRACT

In children, primary thyroid Burkitt lymphoma (PTBL) is an extremely rare pathologic entity of thyroid malignant tumor. Here we describe a case of PTBL in a 15-year-old boy, who developed a rapidly enlarging neck mass that showed signs of compression. The color Doppler ultrasound revealed diffuse swelling of the thyroid gland, with a solid and irregular mass from the left to the isthmus, which was about 8 × 7 × 5 cm in size. Computed tomography showed Irregular masses were seen in the left thyroid with a range of about 7.1 × 5.4 × 8.0 cm, and a beaded slightly enlarged lymph node with a maximum of 1.6 × 0.8 cm was discovered in the left neck. Postoperative pathologic examination also found the specific starry-sky phenomenon of Burkitt lymphoma. Moreover, immunohistochemistry also indicated that the related cellular immunophenotypic expression was also positive or negative. In particular, the proliferation rate by ki67 was almost 100% and C-MYC was also positive. After thyroidectomy, patient underwent four cycles of CHOP regimen chemotherapy. Unfortunately, the patient died as a result of the deterioration of his condition. This report provides an opportunity to review an uncommon type of PTBL in children.

2.
Int J Clin Exp Pathol ; 12(9): 3555-3559, 2019.
Article in English | MEDLINE | ID: mdl-31934204

ABSTRACT

Hepatic fibrosarcoma (HF) is a rare sarcoma with a high malignancy and a poor prognosis. Moreover, it is hard to diagnose before completing a pathological examination, for HF has almost no features of clinical or imaging manifestations. Here we report a case of HF in a 42-year-old male who complained of pain in the right upper abdomen. Computed tomography (CT) and ultrasonography confirmed a large mass was occupying the right lobe of his liver. The patient was finally diagnosed with HF based on the morphology and immunohistochemistry of the tumor after resection. This case indicates that a diagnosis of HF should be considered, especially when the results of imaging examinations and tumor markers do not support the common hepatic diseases.

3.
Int J Clin Exp Pathol ; 11(3): 1123-1134, 2018.
Article in English | MEDLINE | ID: mdl-31938207

ABSTRACT

OBJECTIVE: To explore potential targets and clinical value of miR-490-5p in the oncogenesis and progression of hepatocellular carcinoma (HCC). METHODS: Clinical value of miR-490-5p was accessed through The Cancer Genome Atlas (TCGA) and qRT-PCR analyses. Potential target mRNAs of miR-490-5p were predicted by bioinformatics methods and were annotated as Gene Ontology (GO) function analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway analysis, and Protein-Protein Interaction (PPI) network analysis. RESULTS: miR-490 expression in HCC tissues was lower compared with normal control tissues based on TCGA and down regulation of miR-490-5p was verified by qRT-PCR (P<0.0001). Both miR-490 and miR-490-5p had moderate ability to diagnose HCC tissues from noncancerous tissues. Moreover, lower miR-490 level predicted poorer overall survival in patients with HCC (P=0.0063). One hundred and eighty-four mRNAs were selected as potential targets of miR-490-5p by overlap with 4,090 prediction genes and 1,478 differentially expressed genes (DEGs). Gene Ontology (GO) function analysis showed that the most significant terms were vasculature development, endoplasmic reticulum, and protein binding in biological process (BP), cellular component (CC), and molecular function (MF). In KEGG signaling pathway analysis, the statistically significant terms were lysosome, focal adhesion, glioma. In PPI network analysis, SRC, SRP9, PDGFRB, RPL28, and RPS23 were identified as the hub genes. CONCLUSION: miR-490-5p is down-regulated in HCC and may be a prospectively diagnostic and prognostic biomarker. Moreover, miR-490-5p might directly target SRC, SRP9, PDGFRB, RPL28, or RPS23 and play an important role in HCC.

4.
Mol Med Rep ; 17(2): 2297-2312, 2018 Feb.
Article in English | MEDLINE | ID: mdl-29207053

ABSTRACT

MicroRNA (miR)-338-5p has been studied in hepatocellular carcinoma (HCC); however, the diagnostic value and molecular mechanism underlying its actions remains to be elucidated. The present study aimed to validate the diagnostic ability of miR­338­5p and further explore the underlying molecular mechanism. Data from eligible studies, Gene Expression Omnibus (GEO) chips and The Cancer Genome Atlas (TCGA) datasets were gathered in the data mining and the integrated meta­analysis, to evaluate the significance of miR­338­5p in diagnosing HCC comprehensively. The potential target genes of miR­338­5p were achieved from the intersection of the deregulated targets of miR­338­5p from GEO and TCGA in addition to the predicted target genes from 12 online software. A protein­protein­interaction (PPI) network was drawn to illustrate the interaction between target genes and to define the hub genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to investigate the function of the target genes. From the results, miR­338­5p exhibited favorable value in diagnosing HCC. Types of sample and experiment were defined as the possible sources of heterogeneity in meta­analysis. A total of 423 genes were selected as the potential target genes of miR­338­5p, and five genes were defined as the hub genes from the PPI network. The GO and KEGG analyses indicated that the target genes were significantly assembled in the pathways of metabolic process and cell cycle. miR­338­5p may function as a novel diagnostic target for HCC through regulating certain target genes and signaling pathways.


Subject(s)
Biomarkers, Tumor , Carcinoma, Hepatocellular/diagnosis , Carcinoma, Hepatocellular/genetics , Liver Neoplasms/diagnosis , Liver Neoplasms/genetics , MicroRNAs/genetics , Carcinoma, Hepatocellular/metabolism , Computational Biology/methods , Gene Expression Profiling/methods , High-Throughput Nucleotide Sequencing , Humans , Liver Neoplasms/metabolism , Prognosis , Protein Interaction Mapping , Protein Interaction Maps , Publication Bias , RNA Interference , ROC Curve , Transcriptome
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