Esophageal cancer (EC) is one of the most lethal malignancies of the digestive tract and remains to be improved poor prognosis. Two histological subtypes, esophageal squamous cell carcinoma (ESCC) ...and esophageal adenocarcinoma (EAC), are major characteristics of EC. Deep understanding about both subtypes is essential to overcome EC. Here, we focus on chemokines and their receptors as biomarkers and their current applications for the prognosis in EC. We reviewed relevant articles identified using PubMed database for the chemokines and their receptors in EC analyzed by immunohistochemistry. The primary objective is to summarize evidences for them as prognostic biomarkers in EC. A total of twenty-one articles were reviewed after exclusion. Most studies have been done in ESCC, and less in EAC. CXCL12 and its receptor CXCR4 have been shown in both subtypes as biomarkers. CXCR7, CXCL8 and its receptor CXCR2, and CCL21 and its receptor CCR7 have been examined in ESCC. Although it was a small number of reports, CXCL10, CCL4, and CCL5 have been indicated to have anti-tumor effects in ESCC. Chemokines and their receptors have the potential to be the biomarkers in EC. Comparative studies between ESCC and EAC will reveal the similarity and difference in these two subtypes of EC. These studies may indicate whether these molecules play important roles in both subtypes or are unique to one or another.
We have previously reported that HYBID (hyaluronan (HA)-binding protein involved in HA depolymerization/KIAA1199/CEMIP) is a specific HA-binding protein that is essential for HA depolymerization in ...skin and synovial fibroblasts. HA is incorporated into cells in the presence of HYBID and clathrin, degraded in endosomes, and excreted into the extracellular space. However, it is not yet clear whether HYBID itself catalytically cleaves HA. A recent report on transmembrane protein 2 (TMEM2)—a novel cell surface hyaluronidase—prompted us to investigate whether TMEM2 is essential for HYBID-mediated HA depolymerization. In the present study, we found that transforming growth factor beta 1 (TGF-β1), which suppressed HA depolymerization with a concomitant decrease in HYBID expression, upregulated TMEM2 expression conversely in human skin fibroblasts. TMEM2 expression was not affected by histamine, which significantly increased HA depolymerization accompanied by an increase in HYBID expression. We confirmed a similar response in two other cell lines: KEL FIB keloid fibroblasts and HT1080 fibrosarcoma cells. TGF-β1 was the only inducer of TMEM2 expression among growth factors including epidermal growth factor (EGF), basic fibroblast growth factor (bFGF), and platelet-derived growth factor-BB (PDGF-BB), which suppressed HYBID expression. Moreover, HYBID knockdown completely suppressed HA depolymerization, whereas TMEM2 knockdown unexpectedly enhanced it. These findings clearly indicate that HYBID is indispensable, but TMEM2 is not involved in the HYBID-mediated HA depolymerization system as a catalytic hyaluronidase in human skin fibroblasts.
•TGF-β1 upregulated TMEM2 expression in human skin fibroblasts.•TGF-β1 was the only inducer of TMEM2 among growth factors, which suppressed HYBID.•HYBID knockdown suppressed HA depolymerization, whereas TMEM2 knockdown enhanced it.
Background
Chemokines are major regulators of cell trafficking and adhesion. The chemokine CXCL12 and its receptors, CXCR4 and CXCR7, have been reported as biomarkers in various cancers, including ...esophageal cancer; however, there are few studies in esophageal adenocarcinoma (EAC). In this study, we investigated the relationship between expression of CXCL12, CXCR4, and CXCR7, and prognosis in patients with EAC.
Methods
This study examined 55 patients with EAC who were treated in Toronto General Hospital from 2001 to 2010. Tissue microarray immunohistochemistry was used to evaluate the expression of CXCL12, CXCR4, and CXCR7. Evaluation of immunohistochemistry was performed by a pathologist without knowledge of patients’ information and results were compared with the patients’ clinicopathological features and survival.
Results
High CXCR7 expression was significantly associated with lymphatic invasion (present vs absent,
P
= 0.005) and higher number of lymph node metastases (pN0-1 vs pN2-3,
P
= 0.0014). Patients with high CXCR7 expression (
n
= 23) were associated with worse overall (OS) and disease-free survival (DFS) (
P
= 0.0221,
P =
0.0090, respectively), and patients with high CXCL12 (
n
= 24) tended to have worse OS and DFS (
P
= 0.1091,
P =
0.1477, respectively). High expression of both CXCR7 and CXCL12 was an independent prognostic factor for OS and DFS on multivariate analysis (HR = 0.3, 95% CI: 0.1–0.9,
P
= 0.0246, HR = 0.3, 95% CI: 0.1–0.8,
P
= 0.0134, respectively).
Conclusions
High CXCR7 expression was associated with poor prognosis in patients with EAC, and high expression of CXCR7 with its ligand CXCL12 had a stronger association with prognosis. Further study of this potential biomarker using whole tissue samples and a larger sample size is warranted.
In this paper, Si tunnel FETs (TFETs) with the vertical tunneling junction (nVTFETs) were demonstrated by utilizing fabrication processes compatible to those used for conventional Si MOSFETs. The ...vertical tunneling junction was realized by forming n-type surface pocket regions under gate overlap regions of p-type source extensions only using the ion implantation (I/I). The impacts of carbon (C) coimplantation and formation of offset spacer (OSS) on the TFET performance were examined. As a result, the performance of the fabricated nVTFETs was enhanced by applying the C coimplantation and the OSS formation before the I/I for the vertical tunneling junctions. It has been found, on the other hand, that nVTETs exhibit a reverse short-channel effect, where the threshold voltage increases with decreasing the channel length, and that this effect is correlated with the enhanced temperature dependence of subthreshold slope. These phenomena are attributable to the existence of a thermionic barrier between the source junction and the channel, formed by boron diffusion from the source region.
Background
Accurate diagnosis of the tracheobronchial invasion of advanced esophageal cancer is essential to select appropriate treatment and improve prognosis; however, it is difficult using the ...conventional modalities. This study aimed to clarify the diagnostic usefulness of convex probe endobronchial ultrasound (CP-EBUS) for the diagnosis of the tracheobronchial invasion of advanced esophageal cancer.
Methods
We conducted a cadaveric study to clarify the changes in ultrasonic and histopathologic findings in the esophageal tumor and tracheal invasion models. Additionally, we examined CP-EBUS for patients with advanced thoracic esophageal cancer in whom tracheobronchial invasion was suspected on contrast-enhanced computed tomography (CE-CT) scan. We retrospectivity evaluated the diagnosis of CP-EBUS, comparing the pathological findings and treatment outcomes.
Results
Cadaveric esophageal tumor and tracheal invasion models showed the disappearance of the third layer observed with CP-EBUS and histologically proven interruption of the adventitia. This indicated that the third layer corresponded with the tracheal adventitia. We examined 40 patients with advanced thoracic esophageal cancer in whom tracheobronchial invasion was suspected. The precise diagnosis was pathologically confirmed in 9 of 14 patients diagnosed with cT3 who underwent radical surgery. 20 of 26 cases diagnosed with cT4b received definitive chemoradiotherapy, and 4 cases received salvage surgery and pathologically confirmed precise diagnosis.
Conclusion
CP-EBUS is extremely useful for diagnosing the tracheobronchial invasion of advanced esophageal cancer. It could be an effective modality for determining treatment strategies in cases with a marginal surgical indication.
No clinically relevant biomarker has been identified for predicting the response of esophageal squamous cell carcinoma (ESCC) to chemoradiotherapy (CRT). Herein, we established a CT-based radiomics ...model with artificial intelligence (AI) to predict the response and prognosis of CRT in ESCC. A total of 44 ESCC patients (stage I-IV) were enrolled in this study; training (n = 27) and validation (n = 17) cohorts. First, we extracted a total of 476 radiomics features from three-dimensional CT images of cancer lesions in training cohort, selected 110 features associated with the CRT response by ROC analysis (AUC ≥ 0.7) and identified 12 independent features, excluding correlated features by Pearson's correlation analysis (r ≥ 0.7). Based on the 12 features, we constructed 5 prediction models of different machine learning algorithms (Random Forest (RF), Ridge Regression, Naive Bayes, Support Vector Machine, and Artificial Neural Network models). Among those, the RF model showed the highest AUC in the training cohort (0.99 95%CI 0.86-1.00) as well as in the validation cohort (0.92 95%CI 0.71-0.99) to predict the CRT response. Additionally, Kaplan-Meyer analysis of the validation cohort and all the patient data showed significantly longer progression-free and overall survival in the high-prediction score group compared with the low-prediction score group in the RF model. Univariate and multivariate analyses revealed that the radiomics prediction score and lymph node metastasis were independent prognostic biomarkers for CRT of ESCC. In conclusion, we have developed a CT-based radiomics model using AI, which may have the potential to predict the CRT response as well as the prognosis for ESCC patients with non-invasiveness and cost-effectiveness.
•Cellulosomal carbohydrate-binding module from Clostridium josui, CjCBM3, is characterized.•CjCBM3 binds to crystalline cellulose, non-crystalline cellulose and soluble polysaccharides through the ...crystalline cellulose binding site.•CjCBM3 recognizes two different structures on acid-swollen cellulose with different affinity.
To understand the lignocellulose degradation activity of the Clostridium josui cellulosome, a carbohydrate-binding module of the scaffoldin CjCBM3 was characterized. CjCBM3 shows binding to crystalline cellulose, non-crystalline cellulose and soluble polysaccharides. The binding isotherm of CjCBM3 to acid-swollen cellulose is best fitted by the Langmuir two-site model, suggesting that there are two CjCBM3 binding sites on acid-swollen cellulose with different affinities. The second site shows lower affinity and larger binding capacity, suggesting that the cellulosome is directly targeted to the cellulose surface with high affinity, where larger amounts of the cellulosome bind to cellulose with low affinity.
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