Detection Of Esophageal Cancer Research Articles

Epigenetic silencing of JAM3 promotes esophageal cancer development by activating Wnt signaling

BackgroundThe role of JAM3 in different tumors is controversial. The epigenetic regulation and the mechanism of JAM3 remain to be elucidated in human esophageal cancer (EC).MethodsEleven EC cell lines, 49 cases of esophageal intraepithelial neoplasia (EIN) and 760 cases of primary EC samples were employed. Methylation-specific polymerase chain reaction, immunohistochemistry, MTT, western blot and xenograft mouse models were applied in this study.ResultsThe inverse association between RNA expression and promoter region methylation of JAM3 was found by analyzing 185 cases of EC samples extracted from the TCGA database (p < 0.05). JAM3 was highly expressed in KYSE450, KYSE520, TE1 and YES2 cells, low level expressed in KYSE70 cells and unexpressed in KYSE30, KYSE150, KYSE410, KYSE510, TE13 and BIC1 cells. JAM3 was unmethylated in KYSE450, KYSE520, TE1 and YES2 cells, partial methylated in KYSE70 cells and completely methylated in KYSE30, KYSE150, KYSE410, KYSE510, TE13 and BIC1 cells. The expression of JAM3 is correlated with methylation status. The levels of JAM3 were unchanged in KYSE450, KYSE520, TE1 and YES2 cells, increased in KYSE70 cells and restored expression in KYSE30, KYSE150, KYSE410, KYSE510, TE13 and BIC1 cells after 5-aza-2′-deoxycytidine treatment, suggesting that the expression of JAM3 is regulated by promoter region methylation. JAM3 was methylated in 26.5% (13/49) of EIN and 51.1% (388/760) of primary EC, and methylation of JAM3 was associated significantly with tumor differentiation and family history (all p < 0.05). Methylation of JAM3 is an independent prognostic factor of poor 5-year overall survival (p < 0.05). JAM3 suppresses cell proliferation, colony formation, migration and invasion and induces G1/S arrest and apoptosis in EC. Further study demonstrated that JAM3 suppressed EC cells and xenograft tumor growth by inhibiting Wnt/β-catenin signaling.ConclusionJAM3 is frequently methylated in human EC, and the expression of JAM3 is regulated by promoter region methylation. JAM3 methylation is an early detection and prognostic marker of EC. JAM3 suppresses EC growth both in vitro and in vivo by inhibiting Wnt signaling.

Esophageal cancer and bacterial part of gut microbiota - A multidisciplinary point of view.

There is an urgent need to search for new screening methods that allow early detection of esophageal cancer and thus achieve better clinical outcomes. Nowadays, it is known that the esophagus is not a sterile part of the gastrointestinal tract. It is colonized with various microorganisms therefore a "healthy" esophageal microbiome exists. The dysbiotic changes of esophageal microbiome can lead to the development of esophageal diseases including esophageal cancer. There is a strong consensus in the literature that the intestinal microbiome may be involved in esophageal carcinogenesis. Recently, emphasis has also been placed on the relationship between the oral microbiome and the occurrence of esophageal cancer. According to recent studies, some of the bacteria present in the oral cavity, such as Tannerella forsythia, Streptococcus anginosus, Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, and Fusobacterium nucleatum may contribute to the development of this cancer. Moreover, the oral microbiome of patients with esophageal cancer differs significantly from that of healthy individuals. This opens new insights into the search for a microbiome-associated marker for early identification of patients at high risk for developing this cancer.

Rapid and sensitive detection of esophageal cancer by FTIR spectroscopy of serum and plasma

Fourier transform infrared (FTIR) spectroscopy, as a platform technology for cancer detection, must be up to the challenge of clinical transformation. To this end, detection of esophageal squamous cell carcinoma (ESCC) was hereby explored using serum and plasma scrape-coated on barium fluoride (BaF2) disk by transmission FTIR method, and the classification model was built using six multivariate statistical analyses, including support vector machine (SVM), principal component linear discriminant analysis (PC-LDA), decision tree (DT), k-nearest neighbor (KNN) classification, ensemble algorithms (EA) and partial least squares for discriminant analysis (PLS-DA). All statistical analyses methods demonstrated that late-stage cancer could be well classified from healthy people employing either serum or plasma with different anticoagulants. Resulting PC-LDA model differentiated late-stage cancer from normal group with an accuracy of 99.26%, a sensitivity of 98.53%, and a specificity of 100%. The accuracy and sensitivity reached 97.08% and 91.43%, respectively for early-stage cancer discrimination from normal group. This pilot exploration demonstrated that transmission FTIR provided a rapid, cost effective and sensitive method for ESCC diagnosis using either serum or plasma.

468. THE EFFECT OF ROUTINE ENDOSCOPIC SCREENING FOR SYNCHRONOUS ESOPHAGEAL NEOPLASIA IN PATIENTS WITH HEAD AND NECK SQUAMOUS CELL CARCINOMA

Abstract Esophageal squamous cell carcinoma (ESCC) and head and neck (H&amp;N) cancer coincide in high frequency and early detection of synchronous cancer is inevitable for these patients. The aim of this study is to analyze the effect of routine endoscopic screening for synchronous esophageal cancer in patients with H&amp;N cancer. From April 2020 to March 2022, 35 patients with newly-diagnosed H&amp;N cancer had routine screening endoscopy for synchronous esophageal cancer. All patients with H&amp;N cancer were referred to our department prior to the treatment for H&amp;N cancer. The locations of H&amp;N cancers were oral/oropharyngeal/hypopharyngeal/laryngeal/other H&amp;N cancer; 9/6/9/9/2 respectively. Image-enhanced endoscopy using BLI (blue laser imaging) was performed in all patients. Lugol staining was used in 20 patients and multiple Lugol voiding lesions were detected in 9 patients. Among all patients, abnormal endoscopic findings in esophagus were detected in 15 patients (43%), and biopsy was performed in 11 patients (31%). Biopsy revealed SCC in 5 patients and atypical epithelium in 2 patients. Esophageal lesions were all found in early stage within indication of endoscopic treatment. 3 patients underwent endoscopic treatment after treatment of H&amp;N cancer. Routine endoscopic screening for patients with H&amp;N cancer is effective in early detection of synchronous esophageal cancer with minimally invasive treatment for esophageal neoplasm. The treatment of chemotherapy for H&amp;N cancer may be effective for esophageal lesions, therefore, careful surveillance is required during the treatment of H&amp;N cancer. Routine endoscopy should be continued further for these patients for screening of metachronous cancer.

153. APPLICATION OF RAMAN SPECTROSCOPY AND MACHINE LEARNING IN THE CLASSIFICATION OF ESOPHAGEAL SQUAMOUS CARCINOMA

Abstract Esophageal squamous cell carcinoma (ESCC) is a common disease among all malignant tumors. Advanced detect technologies of the esophageal cancer, Raman spectroscopy have then been developed with the aim of improving diagnosis sensitivity and specificity and accuracy. The aim of this study was to demonstrate an effective and noninvasive technique, Raman spectroscopy, which was able to differentiate and classify ESCC cell lines (esophageal cancer tissue types). 5 ESCC cell lines and tissues of ESCC patient with staging of T3N1M0 (n = 4) and T3N2M0 (n = 4) in low and high differentiation were examined through Raman spectroscopy. Raman spectra data analysis with four machine learning algorithms: PCA-LDA, PCA-XGB, PCA-SVM and PCA- (LDA, XGB, SVM)-stacked GBM were applied. The Student’s t test was used to analyze the differences between the two groups. PCA-LDA model achieved predictive sensitivity greater than 89%, specificity greater than 96% and the overall accuracy rate greater than 90% for the classification of ESCC cells. PCA-XGM and PCA-SVM models showed overall predictive accuracies of 85% and 87.7%, respectively. The overall accuracy reached to 94.7% in classifying the ESCC cells and normal esophageal cells. In ESCC tissue, Raman intensity of DNA/RNA (780 cm − 1) and lipids (1440 cm − 1) were higher in ESCC tissues compared with that in adjacent tissues. We used PCA-XGB model to classify ESCC tissues and adjacent tissues, which showed the overall predictive accuracy of 85%. This study illustrates Raman spectral traits of ESCC cell lines and esophageal tissues related to clinical pathological diagnosis, and one more possible detection method has been added in the field of esophageal cancer detection. Future studies to determine the role of different Raman spectral features altered in ESCC pathogenesis are warranted.

The role of brachytherapy in treatment of stage I esophageal cancer: A systematic review

Despite advancements in the early detection of esophageal cancer, optimal radiotherapy methods for treatment of early disease have not yet been determined. Moreover, the benefit of intraluminal brachytherapy on local control or survival remains controversial. We performed a systematic review to establish the role of brachytherapy as boost therapy in stage I esophageal squamous cell carcinoma, and to evaluate associated survival outcomes. A systematic search of three bibliographic databases from January 1950 to January 2019 was conducted. All studies investigating brachytherapy for curative intent were included and palliative treatment was excluded. Primary outcomes included overall survival and disease-free survival (DFS). Secondary outcomes included loco-regional control (LRC) and toxicity grades and/or complications. Two reviewers independently abstracted data and evaluated study quality using grading of recommendations assessment, development, and evaluation, pooled results were presented through risk ratios. A total of 12 retrospective studies met inclusion criteria. The overall quality of evidence yielded a Grade 1C rating (strong recommendation, low quality evidence). Of 525 included patients, 325 patients received both external beam radiation (EBRT), and brachytherapy, 132 underwent EBRT only, and 68 received brachytherapy with and/or without chemoradiation. For patient group treated with EBRT and brachytherapy, 5-year mortality, DFS and LRC were: 43% (27-59%), 63% (49-76%) and 72% (63-80%) respectively. Rates of complications reported included 82.1% Grade 1 esophagitis for a combined external beam radiation and brachytherapy cohort, 12.3% ulcerations, and 3.3% fistulae. Brachytherapy as a combined modality is encouraging, given its relative safety and effectiveness. Further prospective analysis using higher quality evidence is warranted to evaluate oncologic outcomes and survival advantage.

Identification of Early Esophageal Cancer by Semantic Segmentation.

Early detection of esophageal cancer has always been difficult, thereby reducing the overall five-year survival rate of patients. In this study, semantic segmentation was used to predict and label esophageal cancer in its early stages. U-Net was used as the basic artificial neural network along with Resnet to extract feature maps that will classify and predict the location of esophageal cancer. A total of 75 white-light images (WLI) and 90 narrow-band images (NBI) were used. These images were classified into three categories: normal, dysplasia, and squamous cell carcinoma. After labeling, the data were divided into a training set, verification set, and test set. The training set was approved by the encoder–decoder model to train the prediction model. Research results show that the average time of 111 ms is used to predict each image in the test set, and the evaluation method is calculated in pixel units. Sensitivity is measured based on the severity of the cancer. In addition, NBI has higher accuracy of 84.724% when compared with the 82.377% accuracy rate of WLI, thereby making it a suitable method to detect esophageal cancer using the algorithm developed in this study.

China guideline for the screening, early detection and early treatment of esophageal cancer (2022, Beijing)

Esophageal cancer (EC) is a major digestive tract malignancy in China, which seriously threatens the health of Chinese population. A large number of researches have demonstrated that screening and early detection are effective in reducing the incidence and mortality of EC. The development of the guideline for EC screening and early detection in line with epidemic characteristics of EC in China will greatly promote the homogeneity and standardization, and improve the effect of EC screening. This guideline was commissioned by the Bureau of Disease Control and Prevention of the National Health Commission. The National Cancer Center of China initiated and convened a working group comprising multidisciplinary experts. Following the World Health Organization Handbook for Guideline Development, this guideline combined the most up-to-date evidence of EC screening, China's national conditions, and practical experience in cancer screening. This guideline provided evidence-based recommendations with respect to the screening population, technology and procedure management, aiming to improve the effect of EC screening and provide scientific evidence for the EC prevention and control in China.

Development of a Deep Learning System to Detect Esophageal Cancer by Barium Esophagram.

BackgroundImplementation of deep learning systems (DLSs) for analysis of barium esophagram, a cost-effective diagnostic test for esophageal cancer detection, is expected to reduce the burden to radiologists while ensuring the accuracy of diagnosis.ObjectiveTo develop an automated DLS to detect esophageal cancer on barium esophagram.MethodsThis was a retrospective study using deep learning for esophageal cancer detection. A two-stage DLS (including a Selection network and a Classification network) was developed. Five datasets based on barium esophagram were used for stepwise training, validation, and testing of the DLS. Datasets 1 and 2 were used to respectively train and test the Selection network, while Datasets 3, 4, and 5 were respectively used to train, validate, and test the Classification network. Finally, a positioning box with a probability value was outputted by the DLS. A region of interest delineated by experienced radiologists was selected as the ground truth to evaluate the detection and classification efficiency of the DLS. Standard machine learning metrics (accuracy, recall, precision, sensitivity, and specificity) were calculated. A comparison with the conventional visual inspection approach was also conducted.ResultsThe accuracy, sensitivity, and specificity of our DLS in detecting esophageal cancer were 90.3%, 92.5%, and 88.7%, respectively. With the aid of DLS, the radiologists’ interpretation time was significantly shortened (Reader1, 45.7 s vs. 72.2 s without DLS aid; Reader2, 54.1 s vs. 108.7 s without DLS aid). Respective diagnostic efficiencies for Reader1 with and without DLS aid were 96.8% vs. 89.3% for accuracy, 97.5% vs. 87.5% for sensitivity, 96.2% vs. 90.6% for specificity, and 0.969 vs. 0.890 for AUC. Respective diagnostic efficiencies for Reader2 with and without DLS aid were 95.7% vs. 88.2% for accuracy, 92.5% vs. 77.5% for sensitivity, 98.1% vs. 96.2% for specificity, and 0.953 vs. 0.869 for AUC. Of note, the positioning boxes outputted by the DLS almost overlapped with those manually labeled by the radiologists on Dataset 5.ConclusionsThe proposed two-stage DLS for detecting esophageal cancer on barium esophagram could effectively shorten the interpretation time with an excellent diagnostic performance. It may well assist radiologists in clinical practice to reduce their burden.

Expression of CircATXN7 in esophageal cancer tissues and its effect on cell proliferation and invasion.

The goal of the current research was to investigate circATXN7 expression in esophageal cancer (EC) and its impact on the proliferation, migration, and invasion of EC cells. Determination of circATXN7 expression in esophageal cancer tissues and adjacent tissueswas carried out using quantitative reverse transcription polymerase chain reaction (qRT-PCR), and we further analyzed the correlation between patients' clinical characteristics and circATXN7 expression. EC cell lines (EC-9706, Eca-109, TE-1, KYSE-30, and KYSE-150) and normal esophageal cell line (HET-1A) were cultured, and circATXN7 expression was detected by qRT-PCR. The lowest circATXN7-containing Eca-109 cells were selected to be transfected with an overexpressing lentiviral vector (circATXN7). EC-9706 cells with the highest expression of circATXN7 were selected for transfection with knockdown vectors [short hairpin RNA (shRNA)#1 and shRNA#2] of the circATXN7 sequence. Cell proliferation was determined via MTT assay. The formation of cell clones was investigated via colony formation assay. Transwell migration assay was utilized to determine cell migration and invasion ability. Significantly higher levels of circATXN7 were observed in EC tissues compared with paracancerous tissues (P<0.01), and circATXN7 expression level showed a significant correlation with the tumor/lymph nodes/metastasis (TNM) stage and metastasis of lymph nodes (P<0.05). Among all esophageal cell lines, EC-9706 had the highest expression level and Eca-109 had the lowest expression level. The MTT assay revealed that circATXN7 overexpression could significantly promote the proliferation of Eca-109 cells, while circATXN7 knockdown was capable of significantly inhibiting EC cell proliferation. The colony formation experiments revealed a significant increase in the number of clones in the circATXN7 overexpression model and a significant decrease in the circATXN7 knockdown model. The results of transwell migration experiments suggested that circATXN7 overexpression could promote EC cell invasion and migration, while knockdown of circATXN7 expression was associated with significant inhibition of the invasion and migration of these cells. CircATXN7 exerted a critical role in the incidence and progression of EC. This study identified a novel molecular target and established a theoretical basis for the early detection and treatment of EC.

Evolutionary Neural Architecture Search for Automatic Esophageal Lesion Identification and Segmentation

Automatic esophageal lesion identification (ESEI) is of great importance to clinically aid the endoscopists with the early detection of esophageal cancer. However, accurate identification of esophageal lesion is challenging due to the varying shape, size, illumination condition, and complex background with artifacts in endoscopic images. Although deep neural network based approaches have considerably boosted the performance by automatically learning features from esophageal images, the configuration of the network architecture is highly dependent on domain expertise and is a daunting task to be manually tuned. In this article, we propose an evolutionary algorithm based approach to search for the optimal multitask network architecture for ESEI. Different from existing studies, we first design a multitask network search space, which considers the lesion identification as two steps including esophageal image classification and esophageal lesion segmentation. In particular, the input image resolution is covered in the search space, and the classification utilizes both downsampled and upsampled features. Besides, to avoid scratch training of sampled network architectures in the evolutionary algorithm, the one-shot supernet strategy is developed for searching the optimal network architecture. Results from the performed experiments on a collected sizeable clinical esophageal image dataset show that the proposed method improves on the state of the art on all measured metrics.

Establishment and clinical validation of an artificial intelligence YOLOv51 model for the detection of precancerous lesions and superficial esophageal cancer in endoscopic procedure

Objective: To construct the diagnostic model of superficial esophageal squamous cell carcinoma (ESCC) and precancerous lesions in endoscopic images based on the YOLOv5l model by using deep learning method of artificial intelligence to improve the diagnosis of early ESCC and precancerous lesions under endoscopy. Methods: 13, 009 endoscopic esophageal images of white light imaging (WLI), narrow band imaging (NBI) and lugol chromoendoscopy (LCE) were collected from June 2019 to July 2021 from 1, 126 patients at the Cancer Hospital, Chinese Academy of Medical Sciences, including low-grade intraepithelial neoplasia, high-grade intraepithelial neoplasia, ESCC limited to the mucosal layer, benign esophageal lesions and normal esophagus. By computerized random function method, the images were divided into a training set (11, 547 images from 1, 025 patients) and a validation set (1, 462 images from 101 patients). The YOLOv5l model was trained and constructed with the training set, and the model was validated with the validation set, while the validation set was diagnosed by two senior and two junior endoscopists, respectively, to compare the diagnostic results of YOLOv5l model and those of the endoscopists. Results: In the validation set, the accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the YOLOv5l model in diagnosing early ESCC and precancerous lesions in the WLI, NBI and LCE modes were 96.9%, 87.9%, 98.3%, 88.8%, 98.1%, and 98.6%, 89.3%, 99.5%, 94.4%, 98.2%, and 93.0%, 77.5%, 98.0%, 92.6%, 93.1%, respectively. The accuracy in the NBI model was higher than that in the WLI model (P<0.05) and lower than that in the LCE model (P<0.05). The diagnostic accuracies of YOLOv5l model in the WLI, NBI and LCE modes for the early ESCC and precancerous lesions were similar to those of the 2 senior endoscopists (96.9%, 98.8%, 94.3%, and 97.5%, 99.6%, 91.9%, respectively; P>0.05), but significantly higher than those of the 2 junior endoscopists (84.7%, 92.9%, 81.6% and 88.3%, 91.9%, 81.2%, respectively; P<0.05). Conclusion: The constructed YOLOv5l model has high accuracy in diagnosing early ESCC and precancerous lesions in endoscopic WLI, NBI and LCE modes, which can assist junior endoscopists to improve diagnosis and reduce missed diagnoses.

Cellulose Sponge, the Detector of Esophageal Cancer: Innovation for Early Detection of Esophageal Cancer without Biopsy?: A Mini Review

Patients with esophageal cancer each year can reach 400,000 people. Inefficient screening methods and worsening symptoms, patients often come late. Squamous cell carcinoma, which is the cause of esophageal cancer, has percentage of 84% of all cancer incidences. So far, the current screening strategy is endoscopy with biopsy. This screening has the main side effect of bleeding in metaplastic area. Cellulose Sponge, the Detector of Esophageal Cancer (CaSPER), can be used for screening without a biopsy using a cellulose sponge. The method used in this mini review is an evidence-based method that focuses on evaluating pre-existing journals. The result is that CaSPER is able to provide strong cellular results of 98%, specificity of 100%, and sensitivity of 97%. Capsules made of glucose and cytosponge of cellulose will bring the metaplastic cells to the sponge. This screening is feasible, safe, comfortable, and without side effects. Using trefoil factor 3 as biomarker is able to distinguish between goblet and pseudogoblet cells. CaSPER is minimally invasive, cheaper, and easily accepted, so that in the future it is hoped that it can be mass produced, especially for areas with high esophageal cancer.

Current status of endoscopic detection, characterization and staging of superficial esophageal squamous cell carcinoma.

This review focuses on the current status of endoscopic detection, characterization and tumour category staging of oesophagealsquamous cell carcinoma. The diagnostic yield of white-light imaging is limited and narrow-band imaging has demonstrated a better performance for detecting oesophageal cancer. Narrow-band imaging has also shown similar sensitivity and superior specificity to iodine staining. Accurate differentiation between cancerous and non-cancerous lesions can be achieved by magnifying narrow-band imaging or iodine staining with confirmation of a pink-colour sign. A per-patient analysis of a randomized study showed similar sensitivities, specificities and overall accuracies of magnifying narrow-band imaging and iodine staining of 82.2%, 95.1% and 91.2%, and 80.5%, 94.3% and 90.5%, respectively. The diagnostic capability of endoscopic ultrasonography after conventional and narrow-band imaging in terms of tumour depth was evaluated in a multicentre prospective study. Endoscopic ultrasonography did not significantly improve the accuracy for distinguishing between mucosal or submucosal microinvasive cancer and deeper cancers from 72.9 to 74.0%, suggesting that additional endoscopic ultrasonography did not improve the diagnostic accuracy. In addition, endoscopic ultrasonography increased the incidence of overdiagnosis, defined as a diagnosis of cancer depth greater than the actual depth, by 6.6%. The risk of overdiagnosis by endoscopic ultrasonography was reconfirmed in two systematic reviews. Narrow-band imaging is currently considered as the standard modality for the detection and characterization of oesophageal cancer. The risk of overdiagnosis should be considered when applying endoscopic ultrasonography for the evaluation of tumour invasion depth of superficial oesophageal squamous cell carcinoma.

Novel epigenetic network biomarkers for early detection of esophageal cancer

BackgroundEarly detection of esophageal cancer is critical to improve survival. Whilst studies have identified biomarkers, their interpretation and validity is often confounded by cell-type heterogeneity.ResultsHere we applied systems-epigenomic and cell-type deconvolution algorithms to a discovery set encompassing RNA-Seq and DNA methylation data from esophageal adenocarcinoma (EAC) patients and matched normal-adjacent tissue, in order to identify robust biomarkers, free from the confounding effect posed by cell-type heterogeneity. We identify 12 gene-modules that are epigenetically deregulated in EAC, and are able to validate all 12 modules in 4 independent EAC cohorts. We demonstrate that the epigenetic deregulation is present in the epithelial compartment of EAC-tissue. Using single-cell RNA-Seq data we show that one of these modules, a proto-cadherin module centered around CTNND2, is inactivated in Barrett’s Esophagus, a precursor lesion to EAC. By measuring DNA methylation in saliva from EAC cases and controls, we identify a chemokine module centered around CCL20, whose methylation patterns in saliva correlate with EAC status.ConclusionsGiven our observations that a CCL20 chemokine network is overactivated in EAC tissue and saliva from EAC patients, and that in independent studies CCL20 has been found to be overactivated in EAC tissue infected with the bacterium F. nucleatum, a bacterium that normally inhabits the oral cavity, our results highlight the possibility of using DNAm measurements in saliva as a proxy for changes occurring in the esophageal epithelium. Both the CTNND2/CCL20 modules represent novel promising network biomarkers for EAC that merit further investigation.

Long-term results of an endoscopic screening program for superficial esophageal cancer in patients with head and neck squamous cell carcinoma.

Background and study aims Patients with head and neck squamous cell carcinoma (HNSCC) are at risk of a second primary tumor in the gastrointestinal tract, most commonly in the esophagus. Screening these patients for esophageal carcinoma may help detect asymptomatic dysplasia and early cancer, thus allowing curative treatment and more prolonged survival, but the impact of endoscopic screening remains uncertain. Here we aimed to describe the long-term results of an esophageal SCC screening program in patients with head and neck cancer in terms of prevalence, associated risk factors, and survival. Patients and methods We performed an observational study of a prospectively collected database including patients with HNSCC who had undergone high-definition endoscopy with chromoscopy between 2010 and 2018 at a Brazilian tertiary academic center. Results The study included 1,888 patients. The esophageal SCC prevalence was 7.9 %, with the majority (77.8 %) being superficial lesions. Significant risk factors for esophageal high-grade dysplasia (HGD) and invasive cancer included tumors of the oral cavity and oropharynx and the presence of low-grade dysplasia (LGD). Overall survival (OS) was significantly shorter among patients in whom esophageal cancer was diagnosed at an advanced stage ( P < .001). OS did not significantly differ between patients with HGD and early esophageal cancer versus those without esophageal cancer ( P = .210) Conclusions Endoscopic screening for superficial esophageal neoplasia in patients with HNSCC improves esophageal cancer detection. Screening could potentially benefit patients with primary cancer located at the oropharynx or oral cavity. In addition, the detection of esophageal LGD indicates a need for endoscopic surveillance.

360º optoacoustic capsule endoscopy at 50 Hz for esophageal imaging

Gastrointestinal (GI) endoscopy is a common medical diagnostic procedure used for esophageal cancer detection. Current emerging capsule optoacoustic endoscopes, however, suffer from low pulse repetition rates and slow scanning units limit attainable imaging frame rates. Consequently, motion artifacts result in inaccurate spatial mapping and misinterpretation of data. To overcome these limitations, we report a 360º, 50 Hz frame rate, distal scanning capsule optoacoustic endoscope. The translational capability of the instrument for human GI tract imaging was characterized with an Archimedean spiral phantom consisting of twelve 100 µm sutures, a stainless steel mesh with a pitch of 3 mm and an ex vivo pig esophagus sample. We estimated an imaging penetration depth of ~0.84 mm in vivo by immersing the mesh phantom in intralipid solution to simulate light scattering in human esophageal tissue and validated our findings ex vivo using pig esophagus. This proof-of-concept study demonstrates the translational potential of the proposed video-rate endoscope for human GI tract imaging.

Endoscopic Diagnosis and Treatment of Superficial Esophageal Squamous Cell Cancer: Present Status and Future Perspectives.

This review provides information regarding the preoperative examinations, indications for endoscopic resection (ER), and curability assessment in subjects with superficial esophageal squamous cell carcinoma (SCC). Narrow-band imaging (NBI) is a more sensitive modality for detecting esophageal cancer than conventional observation, and esophageal observation using NBI is thus recommended for the detection of superficial esophageal cancer. It is also important to adjust the volume of air in the esophagus during observation. Workup by non-magnifying followed by magnifying endoscopy is a common process for diagnosing the invasion depth of superficial esophageal SCCs in Japan. Endoscopic ultrasonography carries a risk of overdiagnosis, and its routine use is therefore not recommended. The Japanese endoscopic submucosal dissection/endoscopic mucosal resection guidelines for esophageal cancer considered the indications for ER based on the results of studies focusing on clinical MM/SM1 cancers, and concluded that clinical MM/SM1 carcinomas, except circumferential carcinoma, were an indication for ER. The curative effect of ER should be assessed based on histologic examination of the resected specimens. ER should be conducted based on a thorough understanding of the preoperative diagnosis, indication, curability, and additional treatment of esophageal SCC.

Noninvasive Detection of Esophageal Cancer by the Combination of mSEPT9 and SNCG.

Background: Esophageal cancer (EC) is the second most common malignant tumor of the digestive system. There is currently no effective noninvasive method for early detection of EC. Methods: We performed a prospective cohort study involving 188 EC patients, 125 patients with benign esophageal diseases, and 270 normal subjects to examine the performance of methylated SEPT9 (mSEPT9) and synuclein gamma (SNCG) individually and in combination. Results: The sensitivity of mSEPT9 and SNCG for EC was 43.1% (AUC = 0.69) at 95.6% specificity and 41.8% (AUC = 0.79) at 92.6% specificity, respectively. The combined detection increased the sensitivity to 71.8% at 90.3% specificity. The combined detection sensitivity for stage I-IV EC was 66.7%, 58.3%, 75.0%, and 88.2%, respectively. No significant difference in combined sensitivity was found among patients with EC of the upper, middle, and lower esophagus, and no significant difference in sensitivity was found between adenocarcinoma and squamous carcinoma. The sensitivity of highly differentiated EC was found to be higher than that of moderately and poorly differentiated EC with SNCG and combined detection. The sensitivity of SNCG in female patients was significantly higher than that in male patients, leading to the same trend in combined detection. Patients aged 40-49 years showed higher combined sensitivity. The sensitivity of SNCG was much higher than that of existing protein markers for digestive cancers. Furthermore, mSEPT9 was capable of predicting the long-term survival of EC patients with a hazard ratio of 2.65. Conclusion: The combined sensitivity of mSEPT7 and SNGG provided significant improvement over any single biomarker for the early detection of EC. mSEPT7 may be useful as a prognostic marker for long-term survival.

Rapid and Sensitive Detection of Esophageal Cancer by FTIR Spectroscopy of Serum and Plasma

Rapid and Sensitive Detection of Esophageal Cancer by FTIR Spectroscopy of Serum and Plasma