The protein kinase TAOK3, belongs to the MAP kinase family, is one of three closely related members, namely TAOK1, TAOK2, and TAOK3. We performed a pan-cancer investigation of TAOK3 across different cancer types, including uterine carcinosarcoma, adenocarcinoma of the stomach and pancreas, and endometrial carcinoma of the uterus, to better understand TAOK3\'s role in cancer. In at least 16 types of cancer, our findings indicate that TAOK3 expression levels differ considerably between normal and tumor tissues. In addition, our study is the first to identify the oncogenic role of TAOK3 locus S331 and S471 in renal clear cell carcinoma, Glioblastoma Multiforme, hepatocellular carcinoma, Lung adenocarcinoma, and Pancreatic adenocarcinoma, indicating their involvement in cancer progression. In addition, our data analysis indicates that copy number variation is the most prevalent form of mutation in the TAOK3 gene, and that there is a negative correlation between TAOK3 mRNA and DNA promoter methylation. Moreover, our analysis suggests that TAOK3 may serve as a prognostic marker for several kinds of cancer, including Colon adenocarcinoma, renal clear cell carcinoma, Lower Grade Glioma, Lung adenocarcinoma, Mesothelioma, and hepatocellular carcinoma. In addition, our research on signature cancer genes has uncovered a positive association between TAOK3 and SMAD2, SMAD4, and RNF168 in most of the malignancies we have examined. TAOK3 is also correlated with the frequency of mutations and microsatellite instability in four types of cancer. Numerous immune-related genes are closely associated with TAOK3 levels in numerous malignancies. TAOK3 expression is positively correlated with immune infiltrates, which include activated CD4 T cells, CD8 T cells, and type 2T helper cells. Our pan-cancer analysis of TAOK3 provides vital insight into its potential role across a variety of cancer types.

B-cell lymphoma/leukemia gene-2 (Bcl-2) is the primary proto-oncogene that has been shown to work by preventing apoptosis/programmed cell death. Bcl-2 combines a variety of cell-generated signals associated to the survival and death of cells. In glioma, lung, and breast cancer, Bcl-2 over-expression has been linked to an increase in invasion and migration. Many treatment regimens that target Bcl2 have been established and approved, and thus increasing the survival rates of the patients. The primary goal of this research was to recognize new therapeutic compounds that target Bcl2 and assess Bcl2 expression pattern in BC patients. We used various bioinformatic tools as well as several in vitro assays to look out the expression and inhibition of Bcl2 in BC. Our study depicted that Bcl2 had a strong connection with tumour stroma, notably with suppressor cells originating from myeloid tissues. Moreover, in vitro and in silico research identified Paclitaxel as a promising natural substance that targets Bcl2. Overall, this work shows that Bcl2 overexpression accelerates the development of BC, and that targeting Bcl2 in combination with other drugs will dramatically improve BC patient\'s response to treatment and prevent the emergence of drug resistance.

BACKGROUND: AKT1 is a serine/threonine kinase necessary for the mediation of apoptosis, angiogenesis, metabolism, and cell proliferation in both normal and cancerous cells. The mutations in the AKT1 gene have been associated with different types of cancer. Further, the AKT1 gene mutations are also reported to be associated with other diseases such as Proteus syndrome and Cowden syndromes. Hence, this study aims to identify the deleterious AKT1 missense SNPs and predict their effect on the function and structure of the AKT1 protein using various computational tools.
METHODS: Extensive in silico approaches were applied to identify deleterious SNPs of the human AKT1 gene and assessment of their impact on the function and structure of the AKT1 protein. The association of these highly deleterious missense SNPs with different forms of cancers was also analyzed. The in silico approach can help in reducing the cost and time required to identify SNPs associated with diseases.
RESULTS: In this study, 12 highly deleterious SNPs were identified which could affect the structure and function of the AKT1 protein. Out of the 12, four SNPs-namely, G157R, G159V, G336D, and H265Y-were predicted to be located at highly conserved residues. G157R could affect the ligand binding to the AKT1 protein. Another highly deleterious SNP, R273Q, was predicted to be associated with liver cancer.
CONCLUSIONS: This study can be useful for pharmacogenomics, molecular diagnosis of diseases, and developing inhibitors of the AKT1 oncogene.

BACKGROUND: Urothelial carcinomas (UC) can be either in the upper or in the lower urinary tract or both. Urothelial bladder cancer (UBC) is more common than upper tract urothelial carcinoma (UTUC). This research was designed to study the difference between UBC and UTUC using the molecular pathways including (MAPK/ERK) pathway, cell cycle regulating genes, and oncogenic genes.
METHODS: To study the discrepancy between UBC and UTUC, a prospective trial was carried out for 31 radical cystectomy and 19 nephrouretrectomy fresh-frozen specimens of UBC and UTUC patients, respectively. The expression level of mRNA of eight genes namely EGFR, ELK1, c-fos, survivin, TP53, RB1, FGFR3, and hTERT was assessed in normal adjacent tissues, UTUC, and UBC by RT-PCR.
RESULTS: Comparison between UTUC and UBC regarding the expression level of mRNA of the EGFR, ELK1, c-fos, survivin, TP53, and FGFR3 had significant difference (p-value < 0.001), while the expression level of RB1 and hTERT level had no significance. Sensitivity/specificity of EGFR, Elk1, c-fos, survivin, TP53, and FGFR3 was 0.78/0.90, 0.84/0.90, 0.84/0.80, 0.84/0.96, 0.94/0.93, and 0.89/0.93, respectively, to differentiate between UTUC and UBC.
CONCLUSIONS: Despite the fact that UTUC and UBC share the same origin, there is a clear evidence that there is a molecular difference between them. This molecular difference could be the reason that UTUC is more aggressive than UBC.

BACKGROUND: Cancers arise owing to the accumulation of mutations in critical genes that leads to uncontrolled cell division and the avoidance of apoptosis. Among these oncogenes, BRAF is a potent mitogen-activated protein kinase (MAPK) pathway activator known to be somatically mutated by a glutamic acid to valine substitution at codon 600 (V600E). It is a common finding in various types of human cancers, including malignant melanoma and colorectal cancer (CRC), and is considered a poor prognostic factor and a predictive biomarker. The study aims to determine the incidence of BRAF V600E gene mutation in Lebanese patients with melanoma and CRC and its correlation with gender and age.
METHODS:  We conducted a retrospective cohort design study in which 210 and 132 patients diagnosed to have melanoma and CRC, respectively, were recruited from 2010 to 2019 from \"L\'Institut National de Pathologie,\" where a specific polymerase chain reaction is used to detect BRAF mutations. Data from digitized records were collected, including demographic characteristics (age and gender), cancer type, and BRAF mutation. The collected data were analyzed using SPSS Statistics version 20.0 (IBM Corp., Armonk, NY). A p-value < 0.05 was considered significant.
RESULTS: The incidence of BRAF mutation in melanoma is 88.10%. There is female predominance with a ratio of 2.6:1 (p = 0.240) and the majority of patients aged between 40 and 60 years (51.2%) with a mean age of 53.74 years. While in CRC, BRAF is mutated in 7.5% with a ratio of 1.2:1 of male predominance (p = 0.999). The majority of patients (54.8%) were between the ages of 60 and 80 years, with a mean age of 65.5 years.
CONCLUSIONS: BRAF is a frequent oncogenic mutation that is found in lethal tumors. Targeted therapies for these cancers interfere with developing more effective therapeutic strategies, which affect the treatment response in BRAF mutants and improve the prognosis of the patients.

BACKGROUND: Trophinin-associated protein (TROAP) mediates embryonic transfer, regulates microtubules, and is associated with the biological behavior of various cancers. However, there is limited information on the role of TROAP in glioma.
RESULTS: We obtained clinical information on 1948 patients with glioma from The Cancer Genome Atlas, Gene Expression Omnibus and the Chinese Glioma Genome Atlas. Basal assays were used to measure changes in TROAP expression levels in high-grade glioma cell lines and in normal human astrocytes. Quantitative reverse transcription polymerase chain reaction assays showed that TROAP expression was higher in glioma cell lines than in normal astrocytes. The expression level of TROAP in 749 glioma was significantly higher than that in 228 normal brain tissues using Student\'s t test. The expression of TROAP has a positive relationship with the clinical characteristics of poor prognosis, such as WHO grade, age and has negatively correlated with the indicators of beneficial prognosis, such as IDH mutation and 1p19q co-deletion. Kaplan-Meier survival curves, single multifactor analysis were used to analyze correlations between TROAP and clinical features and prognosis of gliomas. In addition, TROAP overexpression was an independent risk factor for glioma and was associated with reduced overall survival of patients with glioma particularly in patients with WHO grade III and grade IV glioma. Gene set enrichment analysis showed that homologous recombination, cell cycle, and p53 signaling pathways were enriched in samples overexpressing TROAP.
CONCLUSIONS: TROAP is a potential risk factor associated with poor prognosis in patients with glioma and may act as a highly specific biomarker, offering the possibility of individualized glioma treatment.

Isolated reports are inconsistent regarding the risk of venous thromboembolism (VTE) in patients with anaplastic lymphoma kinase (ALK) rearranged non-small cell lung cancer (NSCLC). This study examined whether ALK rearrangement could have an influence on VTE in a prospective cohort.
In a cohort of 836 consecutive patients with NSCLC, patients with epidermal growth factor receptor (EGFR) or kitten rat sarcoma (KRAS) mutations were ruled out for VTE interference. Finally, 341 qualified patients were observed. The median follow up period is 7.5 months (3.1-15.4m). ALK rearrangement was detected by fluorescence in situ hybridization at baseline.
Overall VTE events occurred in 37 (10.9%) of 341 patients. In multivariable analysis including age, sex, tumor histology, tumor stage, performance status, and ALK status, ALK rearrangement (sub-distribution hazard radio 2.47, 95% confidence interval 1.04-5.90) was associated with the increased risk of VTE. The cumulative incidence of VTE was 26.9% and 9.2% in the patients with and without ALK rearrangement after 6 months. After 1 year the corresponding cumulative incidence was 26.9% and 9.7% respectively (Gray test P = .005).
The presence of ALK rearrangement is associated with increased risk of VTE in patients with NSCLC.

Cancer is a multistep disease driven by the activation of specific oncogenic pathways concomitantly with the loss of function of tumor suppressor genes that act as sentinels to control physiological growth. The conservation of most of these signaling pathways in Drosophila, and the ability to easily manipulate them genetically, has made the fruit fly a useful model organism to study cancer biology. In this review we outline the basic mechanisms and signaling pathways conserved between humans and flies responsible of inducing uncontrolled growth and cancer development. Second, we describe classic and novel Drosophila models used to study different cancers, with the objective to discuss their strengths and limitations on their use to identify signals driving growth cell autonomously and within organs, drug discovery and for therapeutic approaches.

OBJECTIVE: There has been limited research on CNVs in oncogenes and we conducted a systematic pan-cancer analysis of CNVs and their gene expression changes. The aim of the present study was to provide an insight into the relationships between gene expression and oncogenesis.
METHODS: We collected all the oncogenes from ONGene database and overlapped with CNVs TCGA tumour samples from Catalogue of Somatic Mutations in Cancer database. We further conducted an integrative analysis of CNV with gene expression using the data from the matched TCGA tumour samples.
RESULTS: From our analysis, we found 637 oncogenes associated with CNVs in 5900 tumour samples. There were 204 oncogenes with frequent copy number of gain (CNG). These 204 oncogenes were enriched in cancer-related pathways including the MAPK cascade and Ras GTPases signalling pathways. By using corresponding tumour samples data to perform integrative analyses of CNVs and gene expression changes, we identified 95 oncogenes with consistent CNG occurrence and up-regulation in the tumour samples, which may represent the recurrent driving force for oncogenesis. Surprisingly, eight oncogenes shown concordant CNG and gene up-regulation in at least 250 tumour samples: INTS8 (355), ECT2 (326), LSM1 (310), DDHD2 (298), COPS5 (286), EIF3E (281), TPD52 (258) and ERBB2 (254).
CONCLUSIONS: As the first report about abundant CNGs on oncogene and concordant change of gene expression, our results may be valuable for the design of CNV-based cancer diagnostic strategy.

A complex network of inflammatory genes is closely linked to somatic cell transformation and malignant disease. Immune cells and their associated molecules are responsible for detecting and eliminating cancer cells as they establish themselves as the precursors of a tumour. By the time a patient has a detectable solid tumour, cancer cells have escaped the initial immune response mechanisms. Here, we describe the development of a double binary zebrafish model that enables regulatory programming of the myeloid cells as they respond to oncogene-activated melanocytes to be explored, focussing on the initial phase when cells become the precursors of cancer. A hormone-inducible binary system allows for temporal control of expression of different Ras oncogenes (NRasQ61K, HRasG12V and KRasG12V) in melanocytes, leading to proliferation and changes in morphology of the melanocytes. This model was coupled to binary cell-specific biotagging models allowing in vivo biotinylation and subsequent isolation of macrophage or neutrophil nuclei for regulatory profiling of their active transcriptomes. Nuclear transcriptional profiling of neutrophils, performed as they respond to the earliest precursors of melanoma in vivo, revealed an intricate landscape of regulatory factors that may promote progression to melanoma, including Serpinb1l4, Fgf1, Fgf6, Cathepsin H, Galectin 1 and Galectin 3. The model presented here provides a powerful platform to study the myeloid response to the earliest precursors of melanoma.