Prognostic value of proliferation markers Ki-67 and PCNA in esophageal squamous cell carcinoma.

BACKGROUND: Ki-67 and proliferating cell nuclear antigen (PCNA) are markers of proliferation used to assess the growth fraction of the cell population. The present study aimed to explore the prognostic value of these proliferative markers in patients with resected esophageal squamous cell cancer (ESCC) in a large cohort. METHODS: A total of 807 patients with ESCC who underwent radical resection were retrospectively reviewed. Ki-67 and PCNA index were examined as the percentage of positively nuclear-stained cells among total number of cancer cells in three high-power fields by a pathologist who was blinded to the patients' history and outcome. Overall survival (OS) and disease-free survival (DFS) were estimated. The Cox regression model was used to evaluate the independent factor. RESULTS: The cut-off value as 60 and 80% for Ki-67 and PCNA were verified, respectively. Higher Ki-67 expression was associated with low differentiation and more lymph node metastasis. Higher PCNA expression was associated with elevated T stage. However, either expression of Ki-67 or PCNA was not correlated with OS and DFS. While in combination of Ki-67 and PCNA analysis, higher expression of these two proliferative markers predicted worse prognosis (median OS, 47 months versus 54 months, P = 0.04). Whatever the combined proliferative marker, differentiation, lymph node metastasis stage and vascular invasion act as factors in univariate survival analysis, but combined Ki-67 and PCNA is not an independent prognostic variable in multivariate analysis (P = 0.10). CONCLUSION: Our results suggest that proliferative markers of Ki-67 and PCNA may correlate with tumor stage but cannot act as independent predictor of prognosis in ESCC patients.

Overexpression of Bruton Tyrosine Kinase Inhibits the Proliferation, Migration, and Invasion of Non-Small Cell Lung Cancer Cells.

Lung cancer is one of the most lethal malignant tumors in the world. Non-small cell lung cancer (NSCLC) is the most common pathological subtype. However, the molecular mechanism of NSCLC progress is still unclear. We extracted the expression data of the Bruton's tyrosine kinase (BTK) gene in NSCLC tissues from the TCGA database. The results of paired t-test showed that the BTK gene was significantly underexpressed in NSCLC tissues. To further verify the above results, we detected the expression of the BTK gene in NSCLC cell lines A549, H1299, and H1650 at the RNA and protein levels by real-time fluorescent quantitative polymerase chain reaction and Western Blot analysis, respectively. The results showed that BTK was low expressed in NSCLC tissues and cells. More importantly, the expression of the BTK gene is also significantly related to the patient's age, gender, tumor range (T), lymph node invasion (N), tumor stage, and prognosis, and its expression level gradually decreases with the progress of the disease. It is speculated that BTK may be an independent prognostic factor of NSCLC. Our experimental results are consistent with the above clinical correlation analysis results. Overexpression of BTK can significantly inhibit the proliferation, migration, and invasion of NSCLC cells and can block the G0/G1 tumor cell cycle, indicating that overexpression of BTK can inhibit the growth, migration, and invasion of NSCLC cells.

LINC01117 inhibits invasion and migration of lung adenocarcinoma through influencing EMT process.

BACKGROUND: Studying the mechanism of action of LncRNAs in lung adenocarcinoma (LUAD) is of great importance for an in-depth understanding of the molecular mechanism of lung adeno carcinogenesis and development. OBJECTIVE: The aim is to identify a long non-coding RNA LINC01117 that is specifically and highly expressed in LUAD cells and to investigate its biological functions and molecular mechanisms in LUAD cells, providing a new potential target for targeting LUAD therapy. METHODS: This study used publicly available data downloaded from The Cancer Genome Atlas (TCGA) database. Construction of siRNA and overexpression plasmid-packed lentiviral constructs were used to knock down and increase the expression of LINC01117 in LUAD cells. The effect of LINC01117 on LUAD cell migration and invasion was verified by scratch assays and Transwell assays. Western blot assays were performed to verify the effect of knocking down LINC01117 expression on key proteins of the EMT process. The effect of overexpression and knockdown LINC01117 expression on key proteins of the EMT process and the nuclear and cytoplasmic distribution of YAP1, a key effector molecule of the Hippo pathway, was verified by Western blot assays. RESULTS: LINC01117 expression was upregulated in LUAD tissues and cell lines. Clinical correlation and prognostic analyses showed that LINC01117 was associated with poorer clinical features (staging and N classification) and poorer prognosis and could be analyzed as an independent prognostic factor. Cell migration and invasion were significantly inhibited in the knockdown group compared to the control group; in contrast, cell migration and invasion were promoted in the overexpression group. Overexpression of LINC01117 resulted in down-regulation of E-cadherin expression and increased expression levels of N-cadherin, vimentin, ZEB1, snail and slug; in contrast, knockdown of LINC01117 appeared to have the opposite effect. Furthermore, knockdown of LINC01117 increased the enrichment of YAP1 protein in the cytoplasm and reduced its level in the nucleus; overexpression of LINC01117 produced the opposite intracellular distribution results. CONCLUSIONS: LINC01117 was highly expressed in LUAD, and knockdown of LINC01117 significantly inhibited the migration and invasion of LUAD cells, while overexpression of LINC01117 significantly promoted the migration and invasion of LUAD cells, and affected the EMT process, and was able to alter the distribution of YAP1 in the nucleus and cytoplasm. This suggests that LINC01117 may regulate the activity of the Hippo pathway by altering the nuclear and cytoplasmic distribution of YAP1, which in turn induces the EMT process in lung adenocarcinoma cells and thus exerts a pro-cancer effect. It suggests that LINC01117 may play a key role in the occurrence and development of LUAD.

Novel laser tracking measurement system based on the position sensitive detector.

The rapid development of modern industrial technology has led to the increase of machinery precision. Laser tracking measurement systems represent a novel type of coordinate measurement method, which was developed on the basis of metrology. In this paper, we aim to define a single-station 3D coordinate rotating laser tracking measurement system based on the principle of the space coordinate method. In view of the current architecture and optical path of the system, we establish the ideal mathematical model of the system and derive the coordinate expression for arbitrary measured points in the measurement space. The output response of the photoelectric position detector to the rotating laser and the linearity of the position signal in the detection circuit have been detected via a concrete experiment. A laser tracking system was used to track the target mirror mounted on the coordinate measuring machine measuring spindle. It is shown that stable tracking is possible during the 3D movement of a cat's eye retroreflector if its velocity is 0.2 m/s and the distance to the moving object is 1-2 m. The corresponding velocity of the object must be 0.4 m/s. Our system provides a feasible implementation method for the tracking of the moving target space position.

A Grey Model and Mixture Gaussian Residual Analysis-Based Position Estimator in an Indoor Environment.

As the progress of electronics and information processing technology continues, indoor localization has become a research hotspot in wireless sensor networks (WSN). The adverse non-line of sight (NLOS) propagation usually causes large measurement errors in complex indoor environments. It could decrease the localization accuracy seriously. A traditional grey model considers the motion characteristics but does not take the NLOS propagation into account. A robust interacting multiple model (R-IMM) could effectively mitigate NLOS errors but the clipping point is hard to choose. In order to easily cope with NLOS errors, we present a novel filter framework: mixture Gaussian fitting-based grey Kalman filter structure (MGF-GKFS). Firstly, grey Kalman filter (GKF) is proposed to pre-process the measured distance, which can mitigate the process noise and alleviate NLOS errors. Secondly, we calculate the residual which is the difference between the filtered distance of GKF and the measured distance. Thirdly, a soft decision method based on mixture Gaussian fitting (MGF) is proposed to identify the propagation condition through residual value and give the degree of membership. Fourthly, weak NLOS noise is further processed by unscented Kalman filter (UKF). The filtered results of GKF and UKF are weighted using the degree of membership. Finally, a maximum likelihood (ML) algorithm is applied to get the coordinate of the target. MGF-GKFS is not supported by any of the priori knowledge. Full-scale simulations and an experiment are conducted to compare the localization accuracy and robustness with the state-of-the-art algorithms, including robust interacting multiple model (R-IMM), unscented Kalman filter (UKF) and interacting multiple model (IMM). The results show that MGF-GKFS could achieve significant improvement compared to R-IMM, UKF and IMM algorithms.

Ubiquitin-protein ligase E3C maintains non-small-cell lung cancer stemness by targeting AHNAK-p53 complex.

Cancer stem-like cells (CSCs) are regarded as sources of tumorigenesis, metastasis, and drug resistance, which limits current cancer therapies. Elucidating the molecular modes governing CSC properties is necessary to optimize therapeutic approaches. In this study, we discovered that ubiquitin-protein ligase E3C (UBE3C)-mediated ubiquitination is a key posttranslational mechanism involved in maintaining CSC properties of non-small-cell lung cancer (NSCLC). UBE3C was overexpressed in stem-like NSCLC cells and acted as a stemness enhancer. Knockdown of UBE3C reduced NSCLC stemness and tumorigenesis both in vivo and in vitro. We further identified AHNAK as a novel UBE3C substrate, finding that UBE3C maintained stemness by ubiquitinating and promoting AHNAK degradation. AHNAK functioned as a cofactor assisting p53 binding to stemness-related gene promoters to inhibit transcription. Subsequent downregulation of AHNAK by UBE3C overexpression removed p53-mediated inhibition of gene expression, resulting in enhanced stemness. Clinical significance was investigated in 208 NSCLC patients and confirmed that attenuated UBE3C activity and elevated AHNAK protein levels correlated with extended survival time. Collectively, findings reveal the first global characterization of UBE3C-mediated ubiquitination as a key regulator of CSCs, with results suggesting involvement of the AHNAK-p53 complex.

Comparison of paclitaxel in combination with cisplatin (TP), carboplatin (TC) or fluorouracil (TF) concurrent with radiotherapy for patients with local advanced oesophageal squamous cell carcinoma: a three-arm phase III randomized trial (ESO-Shanghai 2).

INTRODUCTION: Concurrent chemoradiation is the standard therapy for patients with local advanced oesophageal carcinoma unsuitable for surgery. Paclitaxel is an active agent against oesophageal cancer and it has been proved as a potent radiation sensitiser. There have been multiple studies evaluating paclitaxel-based chemoradiation in oesophageal cancer, of which the results are inspiring. However, which regimen, among cisplatin (TP), carboplatin (TC) or fluorouracil (TF) in combination with paclitaxel concurrent with radiotherapy, provides best prognosis with minimum adverse events is still unknown and very few studies focus on this field. The purpose of this study is to confirm the priority of TF to TP or TF to TC concurrent with radiotherapy in terms of overall survival and propose a feasible and effective plan for patients with local advanced oesophageal cancer. METHODS AND ANALYSIS: ESO-Shanghai 2 is a three-arm, multicenter, open-labelled, randomised phase III clinical trial. The study was initiated in July 2015 and the duration of inclusion is expected to be 4 years. The study compares two pairs of regimen: TF versus TP and TF versus TC concurrent with definitive radiotherapy for patients with oesophageal squamous cell carcinoma (OSCC). Patients with histologically confirmed OSCC (clinical stage II, III or IVa based on the sixth Union for International Cancer Control-tumour, node, metastasis classification) and without any prior treatment of chemotherapy, radiotherapy or surgery against oesophageal cancer will be eligible. A total of 321 patients will be randomised and allocated in a 1:1:1 ratio to the three treatment groups. Patients are stratified by lymph node status (N0, N1, M1a). The primary endpoint is overall survival and the secondary endpoint is progression-free survival and adverse events. ETHICS AND DISSEMINATION: This trial has been approved by the Fudan University Shanghai Cancer Centre Institutional Review Board. Trial results will be disseminated via peer reviewed scientific journals and conference presentations. TRIAL STATUS: The trial was initiated in July 2015 and is currently recruiting patients in all of the participating institutions above. TRIAL REGISTRATION NUMBER: NCT02459457.

Patterns of distant organ metastases in esophageal cancer: a population-based study.

BACKGROUND: Esophageal cancer is the eighth most common cancer worldwide. The prognosis of esophageal cancer patients is dismal, especially those with distant organ metastasis. However, there are few studies describing the patterns of distant metastasis in esophageal cancer systematically. METHODS: We gathered the data from Surveillance Epidemiology and End Results (SEER) database between 2010 and 2013. Categorical variables were analyzed by the Pearson Chi square test, and continuous variables were analyzed by the two-sample t test. Survival estimation and comparison among different variables were performed using Kaplan-Meier method. A multivariable logistic regression model was used to calculate odds ratios (OR) for sex, age, anatomical site, and histological type on specific metastases. Proportional hazards regression model was conducted to obtain adjusted hazard ratio (HRs) for different predictors of overall survival. RESULTS: A total of 9,934 patients were eligible. Liver was the most common metastatic site in the patients of esophageal cancer and followed by lung, bone and brain. Some clinical features, including age, sex, histology type and histologic grade were independent risk factors for different sites of metastasis. Younger age, poorer differentiation, adenoma type and more metastatic sites might lead to poorer prognosis. CONCLUSIONS: Our findings revealed the patterns of metastasis in esophageal cancer, which could help clinicians to identify patients with metastasis and provide proper treatment.

Comparative genomic analysis of esophageal squamous cell carcinoma between Asian and Caucasian patient populations.

Esophageal squamous cell carcinoma is a major histological type of esophageal cancer, with distinct incidence and survival patterns among races. Although previous studies have characterized somatic mutations in this disease, a rigorous comparison between different patient populations has not been conducted. Here we sequence the samples of 316 Chinese patients, combine them with those from The Cancer Genome Atlas, and perform a comparative analysis between Asian and Caucasian patients. We find that mutated CSMD3 is associated with better prognosis in Asian patients. Applying a robust computational strategy that adjusts for both technical and biological confounding factors, we find that TP53, EP300, and NFE2L2 show higher mutational frequencies in Asian patients. Moreover, NFE2L2 mutations correlate with the allele status of a nearby high-Fst SNP, suggesting their potential interaction. Our study provides insights into the molecular basis underlying the striking racial disparities of this disease, and represents a general computational framework for such a cross-population comparison.