The Utility of Phosphohistone H3 in Inter-Observer Variability of Mitotic Count in Meningioma, is There Any Benefit?

Saffar, Hiva; Okhovat, Hoda; Arbabsoleymani, Saeed; Tavangar, Seyed Mohammad; Khoshnevisan, Alireza; Hajinasrollah, Ghazal; Afra, Zahra Hamidi

doi:10.31557/apjcp.2021.22.7.2049

Cited by 4 publications

(2 citation statements)

References 22 publications

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“…57 Indeed, mitotic figures are unevenly distributed across the tumour tissue, with large random effects, and unfortunately the current guidelines do not suggest any preferential method for mitotic counting. A possible solution for precise mitotic counting is IHC for phosphohistone H3 (PHH3), a marker of mitotic figures, which has been suggested to reduce interobserver variability in many tumour entities, including lung carcinoids, [58][59][60][61][62] but its use in routine grading requires validation.…”

Section: Diagnostic Reproducibilitymentioning

confidence: 99%

Updates on lung neuroendocrine neoplasm classification

Vocino Trucco,

Righi,

Volante

et al. 2023

Histopathology

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Lung neuroendocrine neoplasms (NENs) are a heterogeneous group of pulmonary neoplasms showing different morphological patterns and clinical and biological characteristics. The World Health Organisation (WHO) classification of lung NENs has been recently updated as part of the broader attempt to uniform the classification of NENs. This much‐needed update has come at a time when insights from seminal molecular characterisation studies revolutionised our understanding of the biological and pathological architecture of lung NENs, paving the way for the development of novel diagnostic techniques, prognostic factors and therapeutic approaches. In this challenging and rapidly evolving landscape, the relevance of the 2021 WHO classification has been recently questioned, particularly in terms of its morphology‐orientated approach and its prognostic implications. Here, we provide a state‐of‐the‐art review on the contemporary understanding of pulmonary NEN morphology and the potential contribution of artificial intelligence, the advances in NEN molecular profiling with their impact on the classification system and, finally, the key current and upcoming prognostic factors.

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Section: Diagnostic Reproducibilitymentioning

confidence: 99%

Updates on lung neuroendocrine neoplasm classification

Vocino Trucco,

Righi,

Volante

et al. 2023

Histopathology

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show abstract

“…Cell cycle and mitosis crucial in tumor occurrence and development, and are also one of the main targets of tumor drug therapy. [20][21][22] In the treatment of anti-tumor drugs, the gradual emergence of drug resistance is a crucial reason leading to poor prognosis of patients. Thus, at first, we selected 19 hub genes by PPI network and Module analysis; then, we verified them by TCGA database, and finally discovered 8 hub genes.…”

mentioning

confidence: 99%

Identification and Validation of Hub Genes with Poor Prognosis in Hepatocellular Carcinoma by Integrated Bioinformatical Analysis

Guo¹,

Li²,

Cheng³

et al. 2022

IJGM

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Background: Hepatocellular carcinoma (HCC) is the reason for the world's second largest cancer-related death. It is clinically valuable to study the molecular mechanisms of HCC occurrence and development for formulating more effective diagnosis and treatment strategies. Methods: The five microarray data sets GSE45267, GSE101685, GSE84402, GSE62232 and GSE45267 were downloaded from Gene Expression Omnibus (GEO) database, including 165 HCC tissues and 73 normal tissues. Differential expressed genes (DEGs) between HCC tissues and normal tissues were determined by GEO2R. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and the protein-protein interaction network (PPI) network analysis were employed to identify DEGs and to evaluate the clinical significance in prognosis of HCC. Results: A total of 152 genes differentially expressed in HCC tissues and normal tissues were identified. GO and KEGG functional enrichment analysis revealed that 39 up-regulated genes were mainly enriched in mitosis, cell cycle and oocyte meiosis, while those down-regulated genes (113) were concentrated in exogenous drug catabolism and the metabolism of cytochrome P450 on exogenous drugs. Totally, 19 hub genes were chosen by PPI network and module analysis and verified by The Cancer Genome Atlas (TCGA) database. Finally, 8 hub genes were selected, including CDK1, CYP2C8, CCNB1, AURKA, CYP2C9, BUB1B, MAD2L1 and TTK, which were associated with the overall survival rate of HCC patients. Conclusion: This study presented eight target genes connected to the prognosis of HCC patients. Those mainly exists in cell cycle and drug catabolism, which may be latent targets for clinical treatment.

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Overexpression of BRD4 in Gastric Cancer and its Clinical Significance as a Novel Therapeutic Target

Zhang

Huang

Wei

et al. 2024

CCDT

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Background: BRD4 is a member of the bromodomain and extra terminal domain (BET) family of proteins, containing two bromodomains and one extra terminal domain, and is overexpressed in several human malignancies. However, its expression in gastric cancer has not yet been well illustrated. Objective: This study aimed to elucidate the overexpression of BRD4 in gastric cancer and its clinical significance as a novel therapeutic target. Methods: Fresh gastric cancer tissues and paraffin-embedded specimens of gastric cancer patients were collected, and the BRD4 expression was examined by Western Blot Analysis (WB) and Immunohistochemistry Analysis (IHC), respectively. The possible relationship between BRD4 expression and the clinicopathological features as well as survival in gastric cancer patients was analyzed. The effect of BRD4 silencing on human gastric cancer cell lines was investigated by MTT assay, WB, wound healing assay, and Transwell invasion. Results: The results showed that the expression level in tumor tissues and adjacent tissues was significantly higher than that in normal tissues, respectively (P<0.01). BRD4 expression level in gastric cancer tissues was strongly correlated with the degree of tumor differentiated degree (P=0.033), regional lymph nodes metastasis (P=0.038), clinical staging (P=0.002), and survival situation (P=0.000), while the gender (P=0.564), age (P=0.926) and infiltrating depth (P=0.619) of patients were not associated. Increased BRD4 expression resulted in poor overall survival (p=0.003). In in vitro assays, BRD4 small interfering RNA resulted in significantly decreased BRD4 protein expression, therefore inhibiting proliferation, migration, and invasion of gastric cancer cells. Conclusion: BRD4 might be a novel biomarker for the early diagnosis, prognosis, and therapeutic target in gastric cancer.

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The Utility of Phosphohistone H3 in Inter-Observer Variability of Mitotic Count in Meningioma, is There Any Benefit?

Cited by 4 publications

References 22 publications

Updates on lung neuroendocrine neoplasm classification

Updates on lung neuroendocrine neoplasm classification

Identification and Validation of Hub Genes with Poor Prognosis in Hepatocellular Carcinoma by Integrated Bioinformatical Analysis

Overexpression of BRD4 in Gastric Cancer and its Clinical Significance as a Novel Therapeutic Target

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