Cancer Genetics最新文献

CD4⁺ T cells play a pivotal role in the immune system, particularly in adaptive immunity, by orchestrating and enhancing immune responses. CD4⁺ T cell-related immune responses exhibit diverse characteristics in different diseases. This study utilizes gene expression analysis of CD4⁺ T cells to classify and understand complex diseases. We analyzed the dataset consisting of samples from various diseases, including cancers, metabolic disorders, circulatory and respiratory diseases, and digestive ailments, as well as 53 healthy controls. Each sample contained expression data for 22,881 genes. Four feature ranking algorithms, incremental feature selection method, synthetic minority oversampling technique, and four classification algorithms were utilized to pinpoint essential genes, extract classification rules and build efficient classifiers. The following analysis focused on genes across rules, such as AK4, CALU, LINC01271, and RUSC1-AS1. AK4 and CALU show fluctuating levels in diseases like asthma, Crohn's disease, and breast cancer. The analysis results and existing research suggest that they may play a role in these diseases. LINC01271 generally has higher expression in conditions including asthma, Crohn's disease, and diabetes. RUSC1-AS1 is more expressed in chronic diseases like asthma and Crohn's, but less in acute illnesses like tonsillitis and influenza. This highlights the distinct roles of these genes in different diseases. Our approach highlights the potential for developing novel therapeutic strategies based on the transcriptional profiles of CD4⁺ T cells.

Lung adenocarcinoma (LUAD), the primary subtype of Non-Small Cell Lung Cancer (NSCLC), accounts for 80 % to 85 % of cases. Due to suboptimal screening method, LUAD is often detected in late stage, leading to aggressive progression and poor outcomes. Therefore, early disease prognosis for the LUAD is high priority. In order to identify early detection biomarkers, we conducted a meta-analysis of mRNA expression TCGA and GTEx datasets from LUAD patients. A total of 795 differentially expressed genes (DEGs) were identified by exploring the Network-Analyst tool and utilizing combined effect size methods. DEGs refer to genes whose expression levels are significantly different (either higher or lower) compared to their normal baseline expression levels. KEGG pathway enrichment analysis highlighted the TNF signaling pathway as being prominently associated with these DEGs. Subsequently, using the MCODE and CytoHubba plugins in Cytoscape software, we filtered out the top 10 genes. Among these, SOX2 was the only gene exhibiting higher expression, while the others were downregulated. Consequently, our subsequent research focused on SOX2. Further transcription factor-gene network analysis revealed that enhancer of zeste homolog 2 (EZH2) is a significant partner of SOX2, potentially playing a crucial role in euchromatin-heterochromatin dynamics. Structure of SOX2 protein suggest that it is a non-druggable transcription factor, literature survey suggests the same. SOX2 is considered challenging to target directly, or "non-druggable," because of several intrinsic properties that make it difficult to design effective therapeutic agents against it. The primary function of SOX2 is to bind DNA and regulates gene expression. Unlike enzymes or receptors with defined active sites or binding pockets, transcription factors typically have relatively flat or diffuse surfaces that do not offer obvious "pockets" for small molecules to bind effectively. Hence, we drove our focus to investigate on potential drug(s) targeting EZH2. Molecular docking analyses predicted most probable inhibitors of EZH2. We employed several predictive analysis tools and identified GSK343, as a promising inhibitor of EZH2.

The aim of this study was to examine the genomic characteristics and explore the molecular mechanisms underlying adrenal metastases in lung adenocarcinoma. 57 patients diagnosed with lung adenocarcinoma (LUAD) and adrenal metastases (AM) were enrolled, alongside 33 controls diagnosed with non-adrenal metastases (non-AM) at the time of diagnosis. The primary lung cancer tissue sample were analyzed using next-generation sequencing. The molecular and clinical features were correlated with clinical outcomes. TP53, EGFR and KRAS were the most frequently mutated gene in both groups. EGFR mutations, especially rare variants (G724A, L747P, Q701 L, G719C, V769 L and S768I), exhibited significant enrichment in the non-AM group (P<0.001). An elevated age-related signature in the group of patients with AM, whereas the non-AM group exhibited a higher BRCA signature. Potential prognostic biomarkers such as KEAP1, LRP1B, NOTCH1 and RET mutations were detected in the non-AM group, while ALK mutations in the AM group correlated with shorter overall survival (P<0.001). KRAS mutations in the early synchronous adrenal metastases group were also associated with shorter OS (P<0.001). The analysis of 425 tumor genes in 29 patients with adrenal metastases showed significant enrichment in pathways associated with invasion and metastasis, including TNF signaling pathway and TGF-β signaling pathway. Patients without EGFR mutations in LUAD need to be more concerned about adrenal metastases. Meanwhile, patients with adrenal metastases harboring ALK or KRAS mutations have a poor prognosis and require more aggressive treatment. The TNF and TGF-β pathways might be associated with adrenal metastasis.

Background: The F-box protein 8 Gene (FBXO8) has been shown to suppress invasion and metastasis in various cancer types. Recurrence and drug resistance pose significant challenges in renal cell carcinoma (RCC). Identifying novel biomarkers is crucial for addressing these issues.

Methods: Data on RNA sequencing and patient survival for KIRC was obtained from The Cancer Genome Atlas (TCGA), UALCAN, and Gene Expression Omnibus (GEO) databases. We confirmed FBXO8 gene expression and its impact on survival. Clinical characteristics were classified, and FBXO8 expression differences among various categories were observed. We conducted biofunctional predictions and analyzed the tumor microenvironment (TME), immune cell infiltration, and immune checkpoints in relation to FBXO8 expression. FBXO8 was overexpressed using a plasmid, and we assessed Kidney renal clear cell carcinoma (KIRC) cell proliferation, migration, and apoptosis through CCK8, wound healing tests, and western blot analysis.

Results: Our findings revealed decreased FBXO8 expression in KIRC, with patients exhibiting low FBXO8 expression experiencing shorter survival times. The low expression group showed elevated TME immune and estimate scores. Biofunctional analyses indicated that FBXO8 expression was notably linked to drug metabolism cytochrome P450, nutrition disease, receptor-ligand activity, and neuroactive ligand-receptor interaction. Furthermore, we discovered significant correlations between FBXO8 expression and immune cell infiltration, as well as checkpoints such as CD274. Overexpression (OE) of FBXO8 led to a marked reduction in cell proliferation and migration, along with increased apoptosis, as evidenced by apoptosis-related protein expression.

Conclusion: This study demonstrates that FBXO8 serves as a biomarker for KIRC and plays a role in regulating cell proliferation, migration, and apoptosis.

Impairment of DNA mismatch repair function in neoplasms can be assessed by DNA-based methods to assess for high microsatellite instability (MSI-High) or immunohistochemical (IHC) analysis to assess for deficiency of mismatch repair proteins (dMMR). Neoplasms with mismatch repair deficiency often have high tumor mutational burden (TMB-High). MSI-High, dMMR, and TMB-High are all histology agnostic biomarkers for potential therapy using immune checkpoint inhibitors (ICI). In this single center, retrospective study, our primary aim was to assess if NGS-based positive TMB/MSI findings are concordant with patient matched concurrent MMR IHC studies. In addition, we determined if positive TMB/MSI findings are attributable to genetic/epigenetic alterations of MMR genes. Finally, we explored potential associations between IHC, TMB and MSI findings and specific tumor types We screened 4,258 patients in our database who had tumor-normal-testing with our institutional high-throughput NGS-based CLIA assay between Apr 1, 2021-August 31, 2022 for TMB and MSI. We identified 65 patients who had neoplasms with documented TMB-High/MSI-High (n = 59) or TMB-High/MSI-Undetermined (n = 6) results as well as concurrent IHC results for MMR proteins [colorectal (n = 25), endometrial (n = 28), prostatic (n = 7), urothelial (n = 3), other (n = 5)]. The concordance between positive NGS TMB/MSI and MMR results was 98 %. Genetic/epigenetic alterations of MMR genes were documented in 78 % of the neoplasms. IHC studies for dMMR proteins revealed loss of MLH1/PMS2 (n = 33), MSH2/MSH6 (n = 14), MLH1/MSH2/PMS2 (n = 1), MLH1 (n = 1), MSH2 (n = 2), MSH6 (n = 6) and PMS2 (n = 6). All six prostatic neoplasms with dMMR had loss of MSH2/MSH6 (p < 0.0001). We conclude that neoplasms with positive results for TMB/MSI are highly concordant with positive dMMR results. Genetic/epigenetic alterations in the MMR genes are an underlying reason for most positive findings. The association of MSH2/MSH6 loss with prostatic neoplasms is of in-terest, but sample size is limited, and further studies are warranted to address this association.

Background: Mitochondrial dysregulation contributes to the chemoresistance of multiple cancer types. Yet, the functions of mitochondrial dysregulation in Ovarian serous cystadenocarcinoma (OSC) remain largely unknown.

Aim: We sought to investigate the function of mitochondrial dysregulation in OSC from the bioinformatics perspective. We aimed to establish a model for prognosis prediction and chemosensitivity evaluation of the OSC patients by targeting mitochondrial dysregulation.

Methods: Differentially expressed genes (DEGs) were screened from the Cancer Genome Atlas (TCGA)-OV dataset and the mitochondrial-related DEGs were identified from the Human MitoCarta 3.0 database. Prognosis-related mitochondria-related genes (MRGs) were screened to establish the MRGs-based risk score model for prognosis prediction. To validate the risk score model, the risk score model was then evaluated by IHC staining intensity and survival curves from clinical specimens of OSC patients. Migration and proliferation assays were performed to elucidate the role of carcinogenic gene ACSS3 in serous ovarian cancer cell lines.

Results: Using consensus clustering algorithm, we identified 341 MRGs and two subtypes of OSC patients. Moreover, we established a novel prognostic risk score model by combining the transcription level, intensity and extent scores of MRGs for prognosis prediction purpose. The model was established using 7 MRGs (ACOT13, ACSS3, COA6, HINT2, MRPL14, NDUFC2, and NDUFV2) significantly correlated to the prognosis of OSC. Importantly, by performing the drug sensitivity analysis, we found that the OSC patients in the low-risk group were more sensitive to cisplatin, paclitaxel and docetaxel than those in the high-risk group, while the latter ones were more sensitive to VEGFR inhibitor Axitinib and BRAF inhibitors Vemurafenib and SB590885. In addition, patients in the low-risk group were predicted to have better response in anti-PD-1 immunotherapy than those in the high-risk group. The risk score model was then validated by survival curves of high-risk and low-risk groups determined by IHC staining scores of OSC clinical samples. The carcinogenic effect of ACSS3 in OSC was confirmed through the knockdown of ACSS3 in SKOV3 and HO-8910 cells.

Conclusion: To summarize, we established a novel 7 MRGs - based risk score model that could be utilized for prognosis prediction and chemosensitivity assessment in OSC patients.