Cyclin D1 expression predicts postoperative distant metastasis and survival in resectable esophageal squamous cell carcinoma

Cyclin D1 expression in penile cancer

The main goal of the present study was to analyze the expression profile of cyclin D1 in patients with PC, and to determine possible correlations with clinical and histopathological features. A survey was conducted with 100 patients diagnosed with PC, who were treated at two reference hospitals in São Luís, Maranhão, Brazil, between 2013 and 2017. A review of clinical, epidemiological, and histopathological data was performed, Human Papillomavírus (HPV) DNA was detected using polymerase chain reaction (PCR) and cyclin D1 expression analysis was performed using immunohistochemical techniques. The data revealed that the absence of cyclin D1 expression was significantly associated with HPV-positive histological subtypes (p = 0.001), while its expression was associated with high-grade tumors (p = 0.014), histological subtype (p = 0.001), presence of sarcomatoid transformation (p = 0.04), and perineural invasion (p = 0.023). Patients with cyclin D1 expression exhibited lower disease-free survival compared to the cyclin D1-negative group, although the difference was not statistically significant. The results suggest that cyclin D1 may be a potential biomarker for PC, especially for poorer prognosis.

Prognostic significance of CCND1 amplification/overexpression in smoking patients with esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is the main subtype of esophageal cancer, with 5-year survival rate less than 30%. In order to offer an individual therapeutic approach, it is necessary to identify novel prognostic factors to recognize high-risk patients. Given the high frequency of CCND1 abnormalities and the important biological effects of smoking in ESCC, we explored the potential relationship between CCND1 abnormalities and smoking in ESCC patients. CCND1 status was examined by fluorescence in situ hybridization and immunohistochemical staining in ESCC tissue microarrays (n = 519). CCND1 amplification and cyclinD1 overexpression were found in 53.2 and 34.1% ESCC, respectively. CCND1 amplification (P = 0.142 for DFS and P = 0.191 for OS) and cyclinD1 overexpression (P = 0.035 for DFS and P = 0.092 for OS) tended to be poorer prognostic factors in all patients. Among smoking patients, those with CCND1 amplification had significantly poorer prognosis, with a median DFS and OS of 25.0 and 30.0 months compared to not reached and 52.0 months for those without CCND1 amplification (P = 0.020 and 0.018). A similar trend was found in the 68 patients with cyclinD1 overexpression (P = 0.043 and 0.048). Further univariate and multivariate analysis revealed CCND1 amplification was independently poorer prognostic factor in smoking patients, which was not found in non-smoking patients. Smokers with CCND1 amplification or cyclinD1 overexpression have poorer survival, which help us to identify distinct groups of patients with apparently poorer outcome and would enable appropriate follow-up and treatment strategies.

Predicting the efficacy of radiotherapy for esophageal squamous cell carcinoma based on enhanced computed tomography radiomics and combined models

Purpose

This study aimed to investigate the ability of enhanced computed tomography (CT)-based radiomics and dosimetric parameters in predicting response to radiotherapy for esophageal cancer.

Methods

A retrospective analysis of 147 patients diagnosed with esophageal cancer was performed, and the patients were divided into a training group (104 patients) and a validation group (43 patients). In total, 851 radiomics features were extracted from the primary lesions for analysis. Maximum correlation minimum redundancy and minimum least absolute shrinkage and selection operator were utilized for feature screening of radiomics features, and logistic regression was applied to construct a radiotherapy radiomics model for esophageal cancer. Finally, univariate and multivariate parameters were used to identify significant clinical and dosimetric characteristics for constructing combination models. The area evaluated the predictive performance under the receiver operating characteristics (AUC) curve and the accuracy, sensitivity, and specificity of the training and validation cohorts.

Results

Univariate logistic regression analysis revealed statistically significant differences in clinical parameters of sex (p=0.031) and esophageal cancer thickness (p=0.028) on treatment response, whereas dosimetric parameters did not differ significantly in response to treatment. The combined model demonstrated improved discrimination between the training and validation groups, with AUCs of 0.78 (95% confidence interval [CI], 0.69–0.87) and 0.79 (95% CI, 0.65–0.93) in the training and validation groups, respectively.

Conclusion

The combined model has potential application value in predicting the treatment response of patients with esophageal cancer after radiotherapy.

Effects and mechanisms of GSG2 in esophageal cancer progression

BACKGROUND

Esophageal cancer was recognized as one of the malignant tumors with poor prognosis. Germ cell associated 2 (GSG2) has been reported to be of great significance in cell growth and tumor formation. This study aimed to investigate the biological function and molecular mechanism of GSG2 in esophageal cancer.

METHODS

First, relationship between GSG2 expression and tumor characteristics in esophageal cancer patients was analyzed through immunohistochemical (IHC) staining. MTT assay, flow cytometry, cloning formation assay, wound-healing assay and Transwell assay were used to determine proliferation, apoptosis and migration of esophageal cancer cell with GSG2 knockdown in vitro. Expression of apoptosis related proteins and downstream pathway proteins after GSG2 knockdown were detected through Human Apoptosis Antibody Array and western blot analysis. The GSG2 knockdown function in vivo was explored through a xenograft tumor model.

RESULTS

GSG2 was highly expressed in tumor tissues, which has clinical significance in predicting the malignant degree of patients with esophageal cancer. In addition, GSG2 knockdown significantly inhibited a variety of malignant biological behaviors of esophageal cancer cells, such as inhibiting proliferation, reducing colony formation, promoting apoptosis, hindering migration. The decrease of GSG2 expression in esophageal cancer cells can inhibit the xenograft tumor growth.

CONCLUSIONS

In conclusion, GSG2 was involved in esophageal cancer progression and development, which may provide an effective molecular target for the treatment of esophageal cancer in the future.

Comparative genomic analysis of esophageal squamous cell carcinoma and adenocarcinoma: New opportunities towards molecularly targeted therapy

Esophageal cancer is one of the most lethal cancers worldwide because of its rapid progression and poor prognosis. Esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) are two major subtypes of esophageal cancer. ESCC predominantly affects African and Asian populations, which is closely related to chronic smoking and alcohol consumption. EAC typically arises in Barrett's esophagus with a predilection for Western countries. While surgical operation and chemoradiotherapy have been applied to combat this deadly cancer, molecularly targeted therapy is still at the early stages. With the development of large-scale next-generation sequencing, various genomic alterations in ESCC and EAC have been revealed and their potential roles in the initiation and progression of esophageal cancer have been studied. Potential therapeutic targets have been identified and novel approaches have been developed to combat esophageal cancer. In this review, we comprehensively analyze the genomic alterations in EAC and ESCC and summarize the potential role of the genetic alterations in the development of esophageal cancer. Progresses in the therapeutics based on the different tissue types and molecular signatures have also been reviewed and discussed.

Chrysophanol Induced Glioma Cells Apoptosis via Activation of Mitochondrial Apoptosis Pathway

Glioma is a common intracranial tumor originated from neuroglia cell. Chrysophanol is an anthraquinone derivative proved to exert anticancer effects in various cancers. This paper investigated the effect and mechanism of chrysophanol in glioma. Glioma cell lines U251 and SHG-44 were adopted in the experiments. The cells were treated with chrysophanol at different concentrations (0, 10, 20 50, 100 and 200 μM) for 48 h in the study, and then processed with MitoTempo. Mitochondria and cytosol were isolated to investigate the role of mitochondria during chrysophanol functioning on glioma cells. Cell viability was detected through 3-(4,5-Dimethyl-2-Thiazolyl)-2,5-Diphenyl Tetrazolium Bromide (MTT) assay, and cell apoptosis, cell cycle as well as relative reactive oxygen species (ROS) were assessed by flow cytometry. Expressions of Cytosol Cyt C, cleaved caspase-3, cleaved caspase-9, Cyclin D1 and Cyclin E were evaluated by western blot. In U251 and SHG-44 cells, with chrysophanol concentration rising, cell viability, expressions of Cyclin D1 and Cyclin E were decreased while cell apoptosis, levels of cleaved caspase-3, cleaved caspase-9 and Cytosol Cyt C as well as ROS accumulation were increased with cell cycle arrested in G1 phase. Besides, chrysophanol promoted ROS accumulation, cell apoptosis and transfer of Cyt C from mitochondria to cytosol in cells while MitoTempo partly reversed the effect of chrysophanol. Chrysophanol promoted cell apoptosis via activating mitochondrial apoptosis pathway in glioma.

Overexpressed versican promoted cell multiplication, migration and invasion in gastric cancer

Versican (VCAN) is verified to promote development among many cancers, whose function on gastric cancer (GC) is less studied. This work explored the effect of VCNA on GC. The differentially expressed VCAN between tumor and normal samples, among different cancer stages and the overall survival of GC patients with high and low VCAN levels were predicted through Gene Expression Profiling Interactive Analysis 2 (GEPIA2). The association between VCAN and clinicopathological parameters was analyzed by clinical investigation. AGS and NCI-N87 cells were transfected with VCAN short hairpin RNA (shVCAN) and VCAN overexpression plasmid. The VCNA, Cyclin D1, Cyclin E, E-Cadherin, N-Cadherin and Vimentin expression was detected through quantitative reverse transcription-polymerase chain reaction (qRT-PCR) and Western blot. Cell viability was assessed through MTT assay. Cell migration was measured by wound healing assay and cell invasion was evaluated through Transwell assay. Cell cycle was determined by flow cytometry assay. VCAN was upregulated in GC and its high expression related to advanced TNM stage, Lymph node metastasis, Depth of invasion and Grade. VCAN knockdown inhibited multiplication, migration, invasion, Cyclin D1, Cyclin E, N-Cadherin and Vimentin expression while induced cycle arrest and E-Cadherin level of GC cells, whereas overexpressed VCAN showed opposite results. VCAN had a potential to be a biomarker for GC and overexpressed VCAN promoted GC cell multiplication, migration and invasion.

Contrast-enhanced CT radiomics features to predict recurrence of locally advanced oesophageal squamous cell cancer within 2 years after trimodal therapy: A case-control study

Radiomics transforms the medical images into high-dimensional quantitative features and provides potential information about tumor phenotypes and heterogeneity. We conducted a retrospective analysis to explore and validate radiomics model based on contrast-enhanced computed tomography (CECT) to predict recurrence of locally advanced oesophageal squamous cell cancer (SCC) within 2 years after trimodal therapy. This study collected CECT and clinical data of consecutive 220 patients with pathology-confirmed locally advanced oesophageal SCC (154 in the training cohort and 66 in the validation cohort). Univariate statistical test and the least absolute shrinkage and selection operator method were performed to select the optimal radiomics features. Logistic regression was conducted to build radiomics model, clinical model, and combined model of both the radiomics and clinical features. Predictive performance was judged by the area under receiver operating characteristics curve (AUC), accuracy, and F1-score in the training and validation cohorts. Ten optimal radiomics features and/or 7 clinical features were selected to build radiomics model, clinical model, and the combined model. The integrated model of radiomics and clinical features was superior to radiomics model or clinical model in predicting recurrence of locally advanced oesophageal SCC within 2 years in the training (AUC: 0.879 vs 0.815 or 0.763; accuracy: 0.844 vs 0.773 or 0.740; and F1-score: 0.886 vs 0.839 or 0.815, respectively) and validation (AUC: 0.857 vs 0.720 or 0.750; accuracy: 0.788 vs 0.700 or 0.697; and F1-score: 0.851 vs 0.800 or 0.787, respectively) cohorts. The combined model of radiomics and clinical features shows better performance than the radiomics or clinical model to predict the recurrence of locally advanced oesophageal SCC within 2 years after trimodal therapy.

Silencing of UAP1L1 inhibits proliferation and induces apoptosis in esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is recognized as one of the malignant tumors with poor prognosis. UAP1L1 (UDP-N-acetylglucosamine-1-like-1) affects numerous biological processes, which is a key regulator of the development of malignant tumors. The biological function and molecular mechanism of UAP1L1 in ESCC were explored in this study. The relationship between UAP1L1 and ESCC was analyzed by immunohistochemical staining, revealing the high expression of UAP1L1 in ESCC. Importantly, the increased expression of UAP1L1 indicated the deterioration of patients' condition, which has clinical significance. Furthermore, the loss-of-function assays demonstrated that knockdown of UAP1L1 inhibited the progression of ESCC on suppressing proliferation, hindering migration, and enhancing apoptosis in vitro. Moreover, the apoptosis of ESCC cells was induced by knockdown of UAP1L1 via regulating a variety of apoptosis-related proteins, such as upregulation of Bax, CD40, CD40L, Fas, FasL, IGFBP-6, p21, p27, p53, and SMAC. Additionally, further investigation indicated that UAP1L1 by affecting the PI3K/Akt, CCND1, and MAPK promotes the progression of ESCC. In vivo xenograft model further confirmed that knockdown of UAP1L1 inhibited the development of ESCC. In conclusion, UAP1L1 was involved in the development and progression of ESCC, which may provide a powerful target for future molecular therapies.

The membrane-associated form of cyclin D1 enhances cellular invasion

The essential G₁-cyclin, CCND1, is a collaborative nuclear oncogene that is frequently overexpressed in cancer. D-type cyclins bind and activate CDK4 and CDK6 thereby contributing to G₁–S cell-cycle progression. In addition to the nucleus, herein cyclin D1 was also located in the cytoplasmic membrane. In contrast with the nuclear-localized form of cyclin D1 (cyclin D1^NL), the cytoplasmic membrane-localized form of cyclin D1 (cyclin D1^MEM) induced transwell migration and the velocity of cellular migration. The cyclin D1^MEM was sufficient to induce G₁–S cell-cycle progression, cellular proliferation, and colony formation. The cyclin D1^MEM was sufficient to induce phosphorylation of the serine threonine kinase Akt (Ser473) and augmented extranuclear localized 17β-estradiol dendrimer conjugate (EDC)-mediated phosphorylation of Akt (Ser473). These studies suggest distinct subcellular compartments of cell cycle proteins may convey distinct functions.

POLE2 knockdown reduce tumorigenesis in esophageal squamous cells

Background

Esophageal squamous cell carcinoma (ESCC) is one of the most frequent malignant tumors originated from digestive system around the world and the treatment was limited by the unclear mechanism. DNA polymerase epsilon 2, accessory subunit (POLE2) is involved in DNA replication, repair, and cell cycle control, whose association with ESCC is still not clear.

Methods

In this study, the expression level of POLE2 in ESCC tissues was detected by IHC. The POLE2 knockdown cell line was constructed, identified by qPCR and western blot and used for detecting cellular functions and constructing xenotransplantation mice model. MTT Assay, colony formation assay, flow cytometry, wound-healing assay and Transwell assay were used to detected cell proliferation, apoptosis and migration.

Results

We firstly identified that the expression of POLE2 was overexpressed in ESCC. Moreover, the high expression of POLE2 can predict the tumor deterioration and poor prognosis of ESCC patients. Additionally, downregulation of POLE2 was involved in ESCC progression by promoting proliferation, migration, and inhibiting apoptosis in vitro. In vivo studies proved that POLE2 was positively correlated with ESCC tumor formation, which was consistent with the results in vitro. We also illuminated that POLE2 knockdown upregulated pro-apoptotic proteins (Bax, Caspase3, CD40L, FasL, IGFBP-5 and P21) and downregulated anti-apoptotic proteins (CLAP-2, IGF-I and sTNF-R2). In addition, POLE2 was involved in ESCC via targeting PI3K/Akt, Cyclin D1 signaling pathway.

Conclusions

Therefore, POLE2 was proved to be involved in the development of ESCC, which may be a potential therapeutic target and bring new breakthroughs in the treatment of ESCC.

CT radiomic features for predicting resectability of oesophageal squamous cell carcinoma as given by feature analysis: a case control study

Background

Computed tomography (CT) is commonly used in all stages of oesophageal squamous cell carcinoma (SCC) management. Compared to basic CT features, CT radiomic features can objectively obtain more information about intratumour heterogeneity. Although CT radiomics has been proved useful for predicting treatment response to chemoradiotherapy in oesophageal cancer, the best way to use CT radiomic biomarkers as predictive markers for determining resectability of oesophageal SCC remains to be developed. This study aimed to develop CT radiomic features related to resectability of oesophageal SCC with five predictive models and to determine the most predictive model.

Methods

Five hundred ninety-one patients with oesophageal SCC undergoing contrast-enhanced CT were enrolled in this study, and were composed by 270 resectable cases and 321 unresectable cases. Of the 270 resectable oesophageal SCCs, 91 cases were primary resectable tumours; and the remained 179 cases received neoadjuvant therapy after CT, shrank on therapy, and changed to resectable tumours. Four hundred thirteen oesophageal SCCs including 189 resectable cancers and 224 unresectable cancers were randomly allocated to the training cohort; and 178 oesophageal SCCs including 81 resectable tumours and 97 unresectable tumours were allocated to the validation group. Four hundred ninety-five radiomic features were extracted from CT data for identifying resectability of oesophageal SCC. Useful radiomic features were generated by dimension reduction using least absolute shrinkage and selection operator. The optimal radiomic features were chosen using multivariable logistic regression, random forest, support vector machine, X-Gradient boost and decision tree classifiers. Discriminating performance was assessed with area under receiver operating characteristic curve (AUC), accuracy and F-1score.

Results

Eight radiomic features were selected to create radiomic models related to resectability of oesophageal SCC (P-values < 0.01 for both cohorts). Multivariable logistic regression model showed the best performance (AUC = 0.92 ± 0.04 and 0.87 ± 0.02, accuracy = 0.87 and 0.86, and F-1score = 0.93 and 0.86 in training and validation cohorts, respectively) in comparison with any other model (P-value < 0.001). Good calibration was observed for multivariable logistic regression model.

Conclusion

CT radiomic models could help predict resectability of oesophageal SCC, and multivariable logistic regression model is the most predictive model.

The role of F-box only protein 31 in cancer

F-box only protein 31 (FBXO31), initially identified in 2005, is a novel subunit of the S-phase kinase associated protein 1-Cullin 1-F-box ubiquitin ligase. As with other F-box proteins, FBXO31 may interact with several proteins to promote their ubquitination and subsequent degradation in an F-box-dependent manner. It has been revealed that FBXO31 serves a crucial role in DNA damage response and tumorigenesis. However, the expression and function of FBXO31 varies in different types of human cancer. To the best of our knowledge, the present review is the first to summarize the role of FBXO31 in different types of human cancer and determine its underlying mechanisms, thereby paving the road for the design of FBXO31-targeted anticancer therapies.