BackgroundMore than 50% of esophageal cancer patients are diagnosed with advanced diseases and commonly experience dysphagia, some of whom even have tracheoesophageal fistula. Self-expandable metal stent (SEMS) is one of the recommended palliative methods, although complications such as chest pain and stent migration are not uncommon. The goal of this study was to examine the predictors of stent migration.MethodsWe conducted a retrospective cohort study to include patients with esophageal cancer and dysphagia/tracheoesophageal fistula. Clinicopathological information, stent characteristics and patient outcomes were collected for analysis, while side-effects of SEMS were recorded, potential predictors were examined, and patients’ nutritional outcomes were compared in the migration and non-migration groups.ResultsA total of 54 patients with esophageal cancer who received fully covered SEMS between 2013 and 2022 were included. We found tumor across the esophagogastric junction (adjusted odds ratio (OR) = 32.64, P = 0.01) and the female sex (adjusted OR = 12.5, P = 0.02) were significant predictors for stent migration. There was a decreasing tendency in body mass index/body weight in migration and non-migration groups, but the former had a steeper downslope.ConclusionFully covered SEMS is a safe and effective strategy to palliate dysphagia or fistula. Tumor across esophagogastric junction and the female sex were higher risk predictors of stent migration. A careful patient selection would optimize the effects of SEMS placement, especially in those with short-expected lifespan.

This research aims to explore the potential application of this approach in the production of biosensor chips. The biosensor chip is utilized for the identification and examination of early-stage lung cancer cells. The findings of the optical microscope were corroborated by the field emission scanning electron microscopy, which provided further evidence that the growth of MoS 2 is uniform and that there is minimal disruption in the electrode, hence minimizing the likelihood of an open circuit creation. Furthermore, the bilayer structure of the produced MoS 2 has been validated through the utilization of Raman spectroscopy. A research investigation was undertaken to measure the photoelectric current generated by three various types of clinical samples containing lung cancer cells, specifically the CL1, NCI-H460, and NCI-H520 cell lines. The findings from the empirical analysis indicate that the coefficient of determination (R-Square) for the linear regression model was approximately 98%. Furthermore, the integration of a double-layer MoS 2 film resulted in a significant improvement of 38% in the photocurrent, as observed in the device's performance.

Abstract In this study, a biosensor chip was fabricated using MoS2, which is used to detect and analyze the level of cancerization in lung cancer cells. Cancer is the leading cause of mortality worldwide, accounting for over 10 million deaths in 2022, or roughly one death in every six patients. Consequently, society places a high value on cancer prevention and treatment methods. Thus, developing the quickest method to detect cancer and provide correct analytical information for the clinic at an early stage of cancer is very important. It has constantly been the focus of reciprocal relationships and collaborative efforts between the academic and medical sectors. The MoS2 thin film was grown on the light-absorbing layer substrate of silicon-based solar elements through chemical vapor deposition and combined with a self-designed serrated interdigitated electrode (SIE) through the carrier transport mechanism of photogenerated charges. The three types of lung cancer cell clinical samples—CL1, NCI-H460, and NCI-H520 cell lines were subjected to photoelectric flow measurement. The experimental results showed that the R-Square of the linear fitting curve was approximately 98%. In addition, the device was enhanced by 38% when a double-layer MoS2 film was added. GSSGs reaction analysis can be further enhanced.

We present an unsupervised model without any assumptions to enhance images in nonlinear optical microscopy. It only takes 30 training images and can be generalized to unseen samples. Qualitative and quantitative results show significant improvement.

We present an unsupervised learning denoising method, RepE (representation and enhancement), designed for nonlinear optical microscopy images, such as second harmonic generation (SHG) and two-photon fluorescence (TPEF). Addressing the challenge of effectively denoising images with various noise types, RepE employs an encoder network to learn noise-free representations and a reconstruction network to generate denoised images. It offers several key advantages, including its ability to (i) operate without restrictive statistic assumptions, (ii) eliminate the need for clean-noisy pairs, and (iii) requires only a few training images. Comparative evaluations on real-world SHG and TPEF images from esophageal cancer tissue slides (ESCC) demonstrate that our method outperforms existing techniques in image quality metrics. The proposed method provides a practical, robust solution for denoising nonlinear optical microscopy images, and it has the potential to be extended to other nonlinear optical microscopy modalities.

Esophageal cancers are globally the sixth deadliest malignancy, with limited curative options. The association of high serum elafin levels, a molecule produced by epithelial cells, with esophageal squamous cell carcinoma (ESCC) risk is established, but its link to poor ESCC prognosis remains unclear. To explore this question, we first used three-dimensional confocal imaging to create a model of the spatial distribution of elafin inside locoregional ESCC tissues. Then, after analyzing data obtained from whole-genome microarrays for ESCC cell lines and their more invasive sublines, we performed in vitro experiments using RNA sequencing to identify possible elafin-related pathways. Three-dimensional tissue imaging showed elafin distributed as an interweaved-like fibrous structure in the stroma of tissue obtained from patients with high serum levels of elafin and poorer prognoses. By contrast, the signal was confined inside or around the tumor nest in patients who had lower serum levels and better survival. The analysis of a TCGA dataset revealed that higher levels of elafin mRNA in stage I–IIIA ESCC patients were associated with shorter survival. The in vitro studies revealed that elafin promoted ESCC cell proliferation, migration, and invasion via the epithelial–mesenchymal transition pathway. Thus, elafin inhibition could potentially be used therapeutically to improve survival in patients with locoregional ESCC.

In this study, a biochip was fabricated using a light-absorbing layer of a silicon solar element combined with serrated, interdigitated electrodes and used to identify four different types of cancer cells: CE81T esophageal cancer, OE21 esophageal cancer, A549 lung adenocarcinoma, and TSGH-8301 bladder cancer cells. A string of pearls was formed from dielectrophoretic aggregated cancer cells because of the serrated interdigitated electrodes. Thus, cancer cells were identified in different parts, and electron–hole pairs were separated by photo-excited carriers through the light-absorbing layer of the solar element. The concentration catalysis mechanism of GSH and GSSG was used to conduct photocurrent response and identification, which provides the fast, label-free measurement of cancer cells. The total time taken for this analysis was 13 min. Changes in the impedance value and photocurrent response of each cancer cell were linearly related to the number of cells, and the slope of the admittance value was used to distinguish the location of the cancerous lesion, the slope of the photocurrent response, and the severity of the cancerous lesion. The results show that the number of cancerous cells was directly proportional to the admittance value and the photocurrent response for all four different types of cancer cells. Additionally, different types of cancer cells could easily be differentiated using the slope value of the photocurrent response and the admittance value.

Esophageal cancer has a dismal prognosis with a five-year survival rate below 20%. Recently, immunotherapy has become a new standard of care for this cancer; therefore, we aimed to examine the programmed death ligand 1 (PD-L1) expression in esophageal squamous cell carcinoma (ESCC) tissues before and after concurrent chemoradiation therapy (CCRT). In total, 64 patients with pre-CCRT ESCC specimens were examined for PD-L1 expression, with twenty-three of them having a partial response (N = 23) or stable disease (N = 1) after CCRT while post-CCRT tissue specimens were collected. All of them were tested for PD-L1 and 15 of them also had CD8 expression in the paired ESCC samples. The prevalence of PD-L1 positivity was 54.7% and we found a trend of decreased PD-L1 expression and increased CD8 positive signal after CCRT. High pre-CCRT PD-L1 H-score in tumors was related to poor prognosis (adjusted hazard ratio = 2.81; p = 0.02), although CD8 signal was not associated with overall survival either in pre- or post-CCRT treatment. In conclusion, we found that PD-L1 expression tended to decrease in CCRT responders and our result supports PD-L1 expression in tumor as a predictor of ESCC prognosis.

Esophageal squamous cell carcinoma (ESCC) is a highly aggressive tumor known to have locally advanced and metastatic features which cause a dismal prognosis. We sought to determine whether elafin, a non-invasive and secretory small-molecule marker, could be used to predict prognosis in locoregional ESCC patients in human and in vitro studies. In our human study, 119 subjects were identified as having incident and pathologically-proved ESCC with stage I-IIIA tumors from southern Taiwan between 2000 and 2016. We measured their serum elafin levels at baseline and followed them until the date of cancer death or until January 2020, the end of this study. Those with high serum elafin levels were found to have a 1.99-fold risk (95% confidence interval: 1.17–3.38) shorter survival than those who did not. In our in vitro experiments, elevated elafin levels were found to drive ESCC cell proliferation, migration and invasion, while attenuation of elafin level by shRNA abrogated those effects. We concluded that elafin promotes ESCC motility and invasion and leads to a worse clinical prognosis in ESCC patients without distant metastasis.

A quantitative analytical method to discriminate among the various types of cancerous esophagus tissue is essential for accurate cancer staging. This paper reports on the use of ratiometric nonlinear optical microscopy to reveal the ratio of two-photon excited fluorescence (TPEF) to second harmonic generation (SHG) and forward to backward (F/B) SHG from single collagen fibers only in submucosa of esophageal squamous cell carcinoma. This makes it possible to accurately differentiate among the four stages of esophageal cancer, providing results that are in good agreement with histopathology. Furthermore, it is confirmed by polarization-dependent SHG that the varied SHG response in esophageal cancer tissues is mainly from the shrinkage in diameter of collagen fibers instead of the collagen triple helixes altered by cancer cells. Based on the results of TPEF/SHG and F/B SHG ratio, they can cooperatively improve the precision of diagnostics on esophageal cancer and could be transferred to other types of cancer diseases with changed collagen fibers. Impact statement The issue of classifying esophageal cancer at various developmental stages is crucial for determining the optimized treatment protocol for the patients, as well as the prognosis. Precision improvement in staging esophageal cancer keeps seeking quantitative and analytical imaging methods that could augment histopathological techniques. In this work, we used nonlinear optical microscopy for ratiometric analysis on the intrinsic signal of two-photon excited fluorescence (TPEF) and second harmonic generation (SHG) from single collagen fibers only in submucosa of esophageal squamous cell carcinoma (ESCC). The blind tests of TPEF/SHG and forward (F)/backward (B) SHG were demonstrated to compare with the histology conclusion. The discussion of sensitivity and specificity was provided via statistical comparison between the four stages of esophageal cancer. To the best of our knowledge, this is the first study of using these two ratios in combination for staging ESCC.

Alcohol is an important risk factor for the development of second esophageal squamous-cell carcinoma (ESCC) in head and neck squamous-cell carcinoma (HNSCC) patients. However, the influence of tea consumption is uncertain. We prospectively performed endoscopic screening in incident HNSCC patients to identify synchronous esophageal neoplasm. In total, 987 patients enrolled between October 2008 and December 2017 and were analyzed. In vitro studies were conducted to investigate the effect of epigallocatechin gallate (EGCG) on the betel alkaloid, arecoline-stimulated carcinogenesis in two ESCC cell lines. There were 151 patients (15.3%) diagnosed to have synchronous esophageal neoplasm, including 88 low-grade dysplasia, 30 high-grade dysplasia and 33 squamous-cell carcinoma (SCC). Tea consumption was associated with a significantly lower risk of having esophageal high-grade dysplasia or SCC in HNSCC patients, especially those who were betel nut chewers, alcohol drinkers or cigarette smokers (all adjusted odds ratio were 0.5; p-values: 0.045, 0.045 and 0.049 respectively). In vitro studies indicated that EGCG suppressed arecoline-induced ESCC cell proliferation and colony formation through the inhibition of the Akt and ERK1/2 pathway in a reactive oxygen species-independent manner. In conclusion, tea consumption may protect against the development of second esophageal neoplasms among HNSCC patients, especially those who regularly consume betel nuts, alcohol and cigarettes.

Esophageal cancer is the 8th most common form of cancer in the world, which is often diagnosed at a late stage due to how difficult detecting early cancerous changes can be when using conventional endoscopy and/or biopsy. To improve the diagnostics accuracy, circularly polarized second-harmonic generation (CP-SHG) imaging is employed to investigate the structural variation of collagen fibers, which are abundantly distributed in normal esophageal squamous epithelium. Because collagen molecule is formed with a triple-helical structure, it exhibits chiroptical effects when interacting with CP excitations [1]. Previous studies indicate that the structural change in collagen ascribes to misfolding of the triple helices that is highly associated with cancer cell invasion [2]. Thus, it is of great significance to study the structural correlation between collagen fibers and esophageal cancer tissues at varying stages. In general, chirality is revealed by linear chiroptical spectroscopy, such as circular dichroism (CD). Nevertheless, it is suffered from low signal contrast and unable to perform depth imaging. By using CP-SHG imaging, not only the optical sectioning ability is provided but also the high contrast ratio of SHG-CD (i.e., defined as the intensity difference between left circularly polarized excitation (LCP) and right circularly polarized excitation (RCP), divided by their average) is [3]. With this technique, we demonstrate how to use the average value of SHG-CD as an indicator to define different stages of esophageal cancer tissues for the first time. This work is further confirmed by two-photon fluorescence imaging, which sets a good example of using nonlinear optical imaging to reach precise diagnosis on fatal diseases. Figure 1: A and B show the SHG images of esophageal squamous cell carcinoma IV with LCP and RCP excitation, respectively. The SHG source is from type-I collagen around esophageal squamous cells. C represents the SHG-CD response calculated from A and B. [1] J. Baum and B. Brodsky, “Folding of peptide models of collagen and misfolding in disease,” Curr. Opin. Struct. Biol. 9, 122-128 (1999). [2] A. B. H. Lodish, S. L. Zipursky, P. Matsudaira, D. Baltimore, and J. Darnell, “Collagen: the fibrous proteins of the matrix,” in Molecular Cell Biology (W. H. Freeman & Co, 2000). [3] H. Lee, M.J. Huttunen, K.K. Hsu, M. Partanen, G.Y. Zhuo, M. Kauranen, and S.W. Chu, “Chiral imaging of collagen by second-harmonic generation circular dichroism,” Biomed. Opt. Express 4, 909-916 (2013).

The p-n heterojunction photoelectrochemical biosensor, which comprises a p-type Cu2O film formed by electrochemical deposition and n-type ZnO nanorods formed by the hydrothermal method, is prone to photoelectrochemical reactions and self-powered. Four types of human esophageal cancer cells (ECCs) were detected by this biosensor without requiring an extra bias voltage. The measured photocurrent values of high invasion capacity cancer cells was consistently 2 times higher than those measured by a slight invasion capacity cancer cells. The response time, which was about 0.5 s, allowed repeated measurement.

This study presents a method to identify early esophageal cancer within endoscope using hyperspectral imaging technology. The research samples are three kinds of endoscopic images including white light endoscopic, chromoendoscopic, and narrow-band endoscopic images with different stages of pathological changes (normal, dysplasia, dysplasia - esophageal cancer, and esophageal cancer). Research is divided into two parts: first, we analysis the reflectance spectra of endoscopic images with different stages to know the spectral responses by pathological changes. Second, we identified early cancerous lesion of esophagus by principal component analysis (PCA) of the reflectance spectra of endoscopic images. The results of this study show that the identification of early cancerous lesion is possible achieve from three kinds of images. In which the spectral characteristics of NBI endoscopy images of a gray area than those without the existence of the problem the first two, and the trend is very clear. Therefore, if simply to reflect differences in the degree of spectral identification, chromoendoscopic images are suitable samples. The best identification of early esophageal cancer is using the NBI endoscopic images. Based on the results, the use of hyperspectral imaging technology in the early endoscopic esophageal cancer lesion image recognition helps clinicians quickly diagnose. We hope for the future to have a relatively large amount of endoscopic image by establishing a hyperspectral imaging database system developed in this study, so the clinician can take this repository more efficiently preliminary diagnosis.

This study aims to identify new upregulated genes related to secretory or membranous proteins to help detect esophageal squamous cell carcinoma (ESCC). First, we performed microarray-based screening of esophageal tumors from both N-nitrosomethylbenzylamine- and arecoline-induced F344 rats and seventeen human ESCC specimens. Candidate genes were validated by quantitative PCR (qPCR) and immunohistochemical (IHC) staining of ESCC tissues. Among the paired cancer and adjacent normal tissues from 14 ESCC patients, 10 pairs (71.4%) had overexpression of ATP1A1 (ATPase Na+/K+ transporting alpha 1 polypeptide) by qPCR (P = 0.0052). ATP1A1 protein expression was re-confirmed by tissue arrays in 243 ESCC tissues and 126 adjacent normal tissues and by ELISA in 78 serum specimens of ESCC patients. ATP1A1 was 12.3 times (adjusted odds ratio=12.3, 95% CI = 7.2-21.0) more likely to be overexpressed in cancer tissues than in normal tissues. ATP1A1 expression was also correlated to tumor stage. Patients with higher serum ATP1A1 levels had a 2.9-fold (95% CI = 1.1-7.4) risk of late-stage disease (stages III-IV vs. I-II). Downregulation of ATP1A1 expression inhibited the migration and invasion ability of ESCC cell lines in vitro. We concluded that the overexpression of ATP1A1 is strongly associated with the presence and severity of ESCC.

We have demonstrated a Cu2O/ZnO nanorods (NRs) array p-n heterostructures photoelectrochemical biosensor. The electrodeposition of Cu2O at pH 12 acquired the preferably (111) lattice planes, resulting in the largest interfacial electric field between Cu2O and ZnO, which finally led to the highest separation efficiency of photogenerated charge carriers. High verticality ZnO nanorods by seed layer and thermal annealing assist the hydrothermal growth. The optimized Cu2O/ZnO NRs array p-n heterostructures exhibited enhanced PEC performance, such as elevated photocurrent and photoconversion efficiency, as well as excellent sensing performance for the sensitive detection of four strains of different races and different degree of cancer cell which made the device self-powered. We got spectral response characteristics and operating wavelength range of biosensor, and to verify the biological characteristics of cancer cells wafer react with different stages of cancer characterized by a cancer measured reaction experiment.

Esophageal squamous cell cancer (ESCC) is one of the most common fatal human cancers. The identification of biomarkers for early detection could be a promising strategy to decrease mortality. Previous studies utilized microarray techniques to identify more than one hundred genes; however, it is desirable to identify a small set of biomarkers for clinical use. This study proposes a sequential forward feature selection algorithm to design decision tree models for discriminating ESCC from normal tissues. Two potential biomarkers of RUVBL1 and CNIH were identified and validated based on two public available microarray datasets. To test the discrimination ability of the two biomarkers, 17 pairs of expression profiles of ESCC and normal tissues from Taiwanese male patients were measured by using microarray techniques. The classification accuracies of the two biomarkers in all three datasets were higher than 90%. Interpretable decision tree models were constructed to analyze expression patterns of the two biomarkers. RUVBL1 was consistently overexpressed in all three datasets, although we found inconsistent CNIH expression possibly affected by the diverse major risk factors for ESCC across different areas.