Death domain-associated protein (DAXX) expression is associated with poor survival in metastatic high-grade serous carcinoma

CALML3-AS1 enhances malignancies and stemness of small cell lung cancer cells through interacting with DAXX protein and promoting GLUT4-mediated aerobic glycolysis

The lncRNA CALML3 antisense RNA 1 (CALML3-AS1) is a biomarker for various cancers, including non-small cell lung cancer (NSCLC). However, the role of CALM3-AS1 in small cell lung cancer (SCLC) is still unclear. Here, we found that the CALML3-AS1 was upregulated in SCLC tissues and cells. SCLC cells (NCI-H69 and NCI-H466 cells) were transfected with small interfering RNA of CALML-AS1 (si-CALML3-AS1) and Death domain-associated protein (DAXX) (si-DAXX) or an overexpression vector of CALML-AS1 (dCas9-CALML3-AS1) and DAXX (dCas9-DAXX). The results showed that silencing CALML3-AS1 inhibited SCLC cell proliferation, colony formation, migration, invasion, and spheroid formation, and reduced the expression of stemness marker proteins (Nanog. Oct4, and Lin28). Moreover, silencing CALML3-AS1 reduced glycolysis rate, glucose utilization, and lactate production, and decreased the levels of key glycolytic regulatory proteins (GLUT1, GLUT4, HK2, and PKM2) in SCLC cells, while overexpression of CALML3-AS1 promoted malignant growth and stemness and enhanced glucose transporters type 4 (GLUT4)-mediated aerobic glycolysis by interacting with DAXX in NCI-H69 and NCI-H466 cells. Silencing DAXX or GLUT4, or treatment with 2-Deoxy-d-glucose (2-DG, a glycolysis inhibitor) reversed the effects of CALML3-AS1 overexpression on aerobic glycolysis, malignant growth, and stemness of SCLC cells. Finally, NCI-H69 cells transfected with CALML3-AS1, sh-CALML3-AS1, and sh-DAXX lentiviral vectors were subcutaneously injected into nude mice to construct xenograft models. Knockdown of CALML3-AS1 or DAXX inhibited tumor growth in SCLC in vivo. In conclusion, CALML3-AS1, an oncogene, promotes the malignancy and stemness of SCLC cells by interacting with DAXX to enhance GLUT4-mediated aerobic glycolysis, thereby promoting SCLC progression.

Development and Validation of Prognostic Characteristics Associated With Chromatin Remodeling-Related Genes in Ovarian Cancer

BACKGROUND

Ovarian cancer (OC) is a prevalent malignant tumor in the field of gynecology, exhibiting the third highest incidence rate and the highest mortality rate among gynecological tumors. Chromatin remodeling accomplishes specific chromatin condensation at distinct genomic loci and plays an essential role in epigenetic regulation associated with various processes related to cancer development.

METHODS

Differentially expressed genes (DEGs) between OC and control samples were screened from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases, combined with chromatin remodeling-related genes (CRRGs) obtained from the GeneCards database to identify differentially expressed CRRGs (DECRRGs). Enrichment analysis and protein-protein interaction (PPI) network were performed on the DECRRGs. Prognostic genes of OC were screened using univariate Cox and least absolute shrinkage and selection operator (Lasso) analyses. A risk model based on prognostic genes was developed, and the survival probability of OC patients in different risk groups was analyzed by Kaplan-Meier (KM) curve. Finally, the expression levels of prognostic genes were validated by quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting.

RESULTS

In total, 7 potential prognostic genes associated with the progression of OC patients were obtained, including ARID1B, ATRX, CHRAC1, HDAC1, INO80, MBD2, and SS18. Based on the expression level of prognostic genes, OC patients were divided into high-risk group and low-risk group. Survival analysis indicated that patients classified into the high-risk group had higher mortality rates, which enables this prediction model to be utilized as an independent predictor of OC. Immunocorrelation analysis showed that low-risk patients were more likely to benefit from immunotherapy.

CONCLUSION

In this study, we have identified 7 prognostic genes, including ARID1B, ATRX, CHRAC1, HDAC1, INO80, MBD2, and SS18. Overall, our findings provided a foundation for further comprehension of the potential molecular mechanisms underlying OC pathogenesis and progression.

Analysis of genetic test results in 378 patients suspected of thalassaemia

OBJECTIVE

To analyze the genetic test results of 378 patients suspected of thalassemia.

METHODS

378 suspected thalassemia patients in Shaoxing People's Hospital from 2014 to 2020 were selected and venous blood was tested using Gap-PCR and PCR-reversed dot blottin. The distribution of genotypes and other information of gene-positive patients was observed.

RESULTS

Thalassemia genes were detected in 222 cases, with an overall detection rate of 58.7%, of which 41.4% were α deletion type, 1.35% were α dot, 52.7% were α thalassemia, and 4.5% were αβ complex type. Among the 86 people with provincial household registration, the α-thalassemia gene accounted for 65.1% and the β-thalassemia gene accounted for 25.6%. Follow-up found that Shaoxing nationality accounted for 53.1% of positive patients, of which β-thalassemia gene accounted for 72.9% and α-thalassemia gene accounted for 25.4%; other cities in the province accounted for 8.1% of the total. Other provinces and cities accounted for 38.7%, most of which were from Guangxi and Guizhou. Among all positive patients, the most common α-thalassemia genotypes were --sea / αα, --α / αα,--α 3.7 4.2 / αα , --α3.7 / --sea. The most common mutations in β-thalassemia were IVS-II-654, CD41-42, CD17 and CD14-15.

CONCLUSION

The thalassemia gene carrier status was sporadically distributed outside the traditional thalassemia high prevalence areas. The local population in Shaoxing has a high detection rate of thalassemia genes, and the genetic composition is different from the traditional high prevalence area of thalassemia in the south.

The Clinical Impact of Death Domain-Associated Protein and Holliday Junction Recognition Protein Expression in Cancer: Unmasking the Driving Forces of Neoplasia

Death domain-associated protein (DAXX) and Holliday junction recognition protein (HJURP) act as chaperones of H3 histone variants H3.3 and centromere protein A (CENPA), respectively, and are implicated in many physiological processes, including aging and epigenetic regulation, by controlling various genes' transcription and subsequently protein expression. Research has highlighted both these biomolecules as participants in key procedures of tumorigenesis, including cell proliferation, chromosome instability, and oncogene expression. As cancer continues to exert a heavy impact on patients' well-being and bears substantial socioeconomic ramifications, the discovery of novel biomarkers for timely disease detection, estimation of prognosis, and therapy monitoring remains of utmost importance. In the present review, we present data reported from studies investigating DAXX and HJURP expression, either on mRNA or protein level, in human tissue samples from various types of neoplasia. Of note, the expression of DAXX and HJURP has been associated with a multitude of clinicopathological parameters, including disease stage, tumor grade, patients' overall and disease-free survival, as well as lymphovascular invasion. The data reveal the tumor-promoting properties of DAXX and HJURP in a number of organs as well as their potential use as diagnostic biomarkers and underline the important association between aberrations in their expression and patients' prognosis, rendering them as possible targets of future, personalized and precise therapeutic interventions.

Low Protein Expression of both ATRX and ZNRF3 as Novel Negative Prognostic Markers of Adult Adrenocortical Carcinoma

Adrenocortical carcinoma (ACC) is a rare malignancy that is associated with a dismal prognosis. Pan-genomic studies have demonstrated the involvement of ATRX and ZNRF3 genes in adrenocortical tumorigenesis. Our aims were to evaluate the protein expression of ATRX and ZNRF3 in a cohort of 82 adults with ACC and to establish their prognostic value. Two pathologists analyzed immuno-stained slides of a tissue microarray. The low protein expression of ATRX and ZNRF3 was associated with a decrease in overall survival (OS) (p = 0.045, p = 0.012, respectively). The Cox regression for ATRX protein expression of >1.5 showed a hazard ratio (HR) for OS of 0.521 (95% CI 0.273-0.997; p = 0.049) when compared with ≤1.5; for ZNRF3 expression >2, the HR for OS was 0.441 (95% CI, 0.229-0.852; p = 0.015) when compared with ≤2. High ATRX and ZNRF3 protein expressions were associated with optimistic recurrence-free survival (RFS) (p = 0.027 and p = 0.005, respectively). The Cox regression of RFS showed an HR of 0.332 (95%CI, 0.111-0.932) for ATRX expression >2.7 (p = 0.037), and an HR of 0.333 (95%CI, 0.140-0.790) for ZNRF3 expression >2 (p = 0.013). In conclusion, low protein expression of ATRX and ZNRF3 are negative prognostic markers of ACC; however, different cohorts should be evaluated to validate these findings.