High expression of CIN85 promotes proliferation and invasion of human esophageal squamous cell carcinoma

Burden of esophageal cancer in global, regional and national regions from 1990 to 2021 and its projection until 2050: results from the GBD study 2021

Background

Esophageal cancer (EC) is a major global health issue characterized by high morbidity and mortality rates, with a notably low five-year survival rate. Comprehensive analyses of the global burden of EC remain limited and outdated, despite its global significance. This study aimed to systematically assess the global burden and trends of esophageal cancer across diverse populations.

Methods

Data on the burden of EC were collected from the Global Burden of Disease (GBD) 2021 study, including estimates of incidence, mortality, and disability-adjusted life years (DALYs), as well as risk factors, spanning 204 countries and territories. Age-standardized rates (ASRs) were calculated to allow comparisons across populations. The study further explored the relationship between EC burden and socioeconomic development by utilizing the Socio-demographic Index (SDI), aggregating data by regions. The Bayesian age-period-cohort model was applied to project future trends until 2050.

Results

In 2021, there were 576,529 new esophageal cancer cases, with an age-standardized incidence rate (ASIR) of 6.65 per 100,000, reflecting a 24.87% decrease since 1990. The global number of deaths reached 538,602, with an age-standardized death rate (ASDR) of 6.25 per 100,000, representing a 30.67% decline. DALYs totaled 12,999,264, corresponding to an estimated annual percentage change (EAPC) of a 1.73% decrease in the age-standardized DALYs rate. East Asia accounted for nearly two-thirds of global EC cases and deaths, while Central Sub-Saharan Africa recorded the highest ASIR and ASDR. Central Asia experienced the largest reductions, whereas Western Sub-Saharan Africa showed increasing trends. Middle-SDI countries, such as Malawi and Lesotho, had disproportionately high burdens, while high-SDI countries, including Tunisia and Kuwait, had lower burdens. Males had higher incidence and mortality rates across all age groups. By 2050, the ASIR is projected to decrease to 6.17 per 100,000, and the ASDR to 5.23 per 100,000, though the absolute number of cases and deaths is expected to rise.

Conclusions

The global burden of EC remains significant, with ongoing challenges in regions such as Africa and East Asia. These findings highlight the need for sustained and targeted prevention efforts, particularly in high-risk populations, to address the increasing absolute number of cases and deaths.

PIK3R1 fusion drives chemoresistance in ovarian cancer by activating ERK1/2 and inducing rod and ring-like structures

Gene fusions are common in high-grade serous ovarian cancer (HGSC). Such genetic lesions may promote tumorigenesis, but the pathogenic mechanisms are currently poorly understood. Here, we investigated the role of a PIK3R1-CCDC178 fusion identified from a patient with advanced HGSC. We show that the fusion induces HGSC cell migration by regulating ERK1/2 and increases resistance to platinum treatment. Platinum resistance was associated with rod and ring-like cellular structure formation. These structures contained, in addition to the fusion protein, CIN85, a key regulator of PI3K-AKT-mTOR signaling. Our data suggest that the fusion-driven structure formation induces a previously unrecognized cell survival and resistance mechanism, which depends on ERK1/2-activation.

Actin-like protein 8, a member of cancer/testis antigens, supports the aggressive development of oral squamous cell carcinoma cells via activating cell cycle signaling

Due to the malignancy of oral squamous cell carcinoma (OSCC), investigations of novel therapeutic targets and prognostic biomarkers are urgently needed. In our present study, significant up-regulation of Actin-like protein 8 (ACTL8) in OSCC patients was observed by bioinformatics analysis with RNA sequencing data obtained from The Cancer Genome Atlas (TCGA) database. The results of Chi-square test revealed that there was a significant correlation between ACTL8 expression and tumor status (T1 + T2/T3+T4) (P = 0.004). Survival analysis indicated a negative correlation between ACTL8 overexpression and prognosis in OSCC (P = 3.984e-02). An ACTL8 knockdown experiment was conducted to evaluate the function of ACTL8 on OSCC cell biological behaviors. The results revealed that knockdown of ACTL8 significantly inhibited the growth and mobility, arrested cell cycle and promoted apoptosis of TCA-83 and CAL27 cells. Moreover, Gene Set Enrichment Analysis (GSEA) and western blots demonstrated that activation of cell cycle signaling pathway was inhibited by knockdown of ACTL8, as we observed the down-regulation of 4 key proteins (CDK1, cyclin E1, cyclin B2 and c-Myc) in this pathway. The present investigation indicates that ACTL8 plays an oncogenic role in the pathogenesis of OSCC, suggesting that ACTL8 may be a promising therapeutic target and prognosis marker for human OSCC.

Identification of Immune-Cell-Related Prognostic Biomarkers of Esophageal Squamous Cell Carcinoma Based on Tumor Microenvironment

Background

Esophageal squamous cell carcinoma (ESCC) is one of the most fatal cancers in the world. The 5-year survival rate of ESCC is <30%. However, few biomarkers can accurately predict the prognosis of patients with ESCC. We aimed to identify potential survival-associated biomarkers for ESCC to improve its poor prognosis.

Methods

ImmuneAI analysis was first used to access the immune cell abundance of ESCC. Then, ESTIMATE analysis was performed to explore the tumor microenvironment (TME), and differential analysis was used for the selection of immune-related differentially expressed genes (DEGs). Weighted gene coexpression network analysis (WGCNA) was used for selecting the candidate DEGs. Least absolute shrinkage and selection operator (LASSO) Cox regression was used to build the immune-cell-associated prognostic model (ICPM). Kaplan–Meier curve of survival analysis was performed to evaluate the efficacy of the ICPM.

Results

Based on the ESTIMATE and ImmuneAI analysis, we obtained 24 immune cells’ abundance. Next, we identified six coexpression module that was associated with the abundance. Then, LASSO regression models were constructed by selecting the genes in the module that is most relevant to immune cells. Two test dataset was used to testify the model, and we finally, obtained a seven-genes survival model that performed an excellent prognostic efficacy.

Conclusion

In the current study, we filtered seven key genes that may be potential prognostic biomarkers of ESCC, and they may be used as new factors to improve the prognosis of cancer.