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  • Open Access

    ARTICLE

    Prognostic Investigations of Expression Level of Two Genes FasL and Ki-67 as Independent Prognostic Markers of Human Retinoblastoma

    Samaneh Kouzegaran*, Kourosh Shahraki, Ali Makateb, Farkhondeh Shahri§, Negin Hatami, Vahid Behnod#, Amir Saber Tanha**

    Oncology Research, Vol.25, No.4, pp. 471-478, 2017, DOI:10.3727/096504016X14721217330657

    Abstract In this study, expression of FasL and Ki-67 messenger RNA (FasL and Ki-67 mRNA) in human retinoblastoma (HRB) was examined by the immunohistochemistry method and quantitative real-time PCR. Positive expression of Ki-67 in tumor cells was detected in 16 of 30 patients (53.33%), and only 9 (30%) of the tissues from patients with retinoblastoma showed positive staining for FasL. Our results revealed that FasL expression was significantly higher in tumor tissue with invasion compared with the noninvasion form (p = 0.033). Ki-67 expression was markedly increased in tumor tissues with invasion compared with the noninvasion group… More >

  • Open Access

    ARTICLE

    miR 204-5p inhibits apoptosis in dacarbazine-treated melanoma cells

    NADEZHDA PALKINA, EKATERINA SERGEEVA, TATIANA RUKSHA*

    Oncology Research, Vol.29, No.6, pp. 393-400, 2021, DOI:10.32604/or.2022.025816

    Abstract Melanoma is one of the most aggressive types of malignant tumors, commonly affecting young individuals. The treatment of metastatic tumors remains obscure due to the resistance of tumor cells to drugs mediated by various mechanisms. The acquisition of a resistant phenotype is associated with both genetic and epigenetic alterations in cancer cells. Therefore, the current study aimed to investigate whether microRNA (miR)-204-5p could promote alterations in the cell cycle and apoptosis of dacarbazine (DTIC)-treated melanoma cells. Quantitative real time PCR showed that transfection of DTIC-treated SK-MEL-2 melanoma cells with miR-204-5p mimics significantly upregulated miR-204-5p. However,… More >

  • Open Access

    ARTICLE

    Immunocytochemical examination of PTEN and Ki-67 for endometrial carcinoma using thin-layer endometrial preparations

    XI YANG1, KE MA1,*, RUI CHEN1, NAIYI ZHANG2, YITING MENG3, JIA WEN1, QINPING LIAO1

    BIOCELL, Vol.45, No.4, pp. 923-932, 2021, DOI:10.32604/biocell.2021.013625

    Abstract The current study is designed to evaluate certain immunocytochemical (ICC) biomarkers to gain a better cytodiagnosis. For this purpose, 85 patients from March 2016 to March 2019 who planned to get a hysteroscopy assay were recruited. Cytological sampling was conducted by scratching the uterus cavity using SAP-1, and the samples were processed as liquid-based smears, using SurePath technology. 36 patients diagnosed with EC or atypical endometrial hyperplasia were recruited in this study. 33 cases were diagnosed with EC, and 3 cases were diagnosed with atypical endometrial hyperplasia, allocated with EC or precancerous lesions group. 26… More >

  • Open Access

    ARTICLE

    Classifications des tumeurs neuroendocrines gastroentéropancréatiques : ce qui change*
    Classifications of gastro-entero-pancreatic neuroendocrine tumors: what has changed ?

    J.-Y. Scoazec

    Oncologie, Vol.21, No.2, pp. 119-124, 2019, DOI:10.3166/onco-2019-0052

    Abstract The WHO classification of the tumors of endocrine organs, published in July 2017 and that of digestive tumors, released in July 2019, have introduced significant changes in the classification of gastro-entero-pancreatic neuroendocrine tumors (NETs), which was unchanged since 2010. The main change is a new category of well-differentiated neoplasms, NET G3, in addition to the two previous categories NET G1 and NET G2. The other changes are: 1) the cut-off in Ki-67 index between NET G1 and G2, now set at 3%, 2) the term used for mixed tumors: MiNEN (mixed neuroendocrine-non neuroendocrine neoplasm) instead… More >

  • Open Access

    ARTICLE

    Tumor Cell Identification in Ki-67 Images on Deep Learning

    Ruihan Zhang1,2, Junhao Yang1, Chunxiao Chen1,*

    Molecular & Cellular Biomechanics, Vol.15, No.3, pp. 177-187, 2018, DOI:10.3970/mcb.2018.04292

    Abstract The proportion of cells staining for the nuclear antigen Ki-67 is an important predictive indicator for assessment of tumor cell proliferation and growth in routine pathological investigation. Instead of traditional scoring methods based on the experience of a trained laboratory scientist, deep learning approach can be automatically used to analyze the expression of Ki-67 as well. Deep learning based on convolutional neural networks (CNN) for image classification and single shot multibox detector (SSD) for object detection are used to investigate the expression of Ki-67 for assessment of biopsies from patients with breast cancer in this More >

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