Aberrant p53 Expression in Gastric Biopsies and Resection Specimens Following Neoadjuvant Chemoradiation: A Diagnostic Pitfall

Gastric mucosal biopsies and resections from patients treated with neoadjuvant radiation and/or chemotherapy are frequently encountered. These samples may show histologic features related to therapy including inflammation, ulceration, and epithelial atypia. In some cases, epithelial atypia may be marked, prompting the use of adjunct p53 immunohistochemistry. We examined p53 expression by immunohistochemistry in gastric mucosa following therapy.

We evaluated the histology and p53 immunohistochemical expression in gastric mucosa from 57 resections and 3 mucosal biopsies, from 60 patients treated with radiation and/or chemotherapy for gastroesophageal carcinoma (n  =  33) or pancreatic carcinoma (n  =  27).

We identified histomorphologic features of therapy-related epithelial changes in 50 of 60 cases (83%). Abnormal p53 expression was present at least focally in nearly half the cases (27 of 60 cases; 45%), all of which showed morphologic evidence of therapy-related epithelial changes. Neuroendocrine cell micronests were present in 37 of 60 cases (62%). Next-generation sequencing (NGS) of foci with therapy-related epithelial changes showing abnormal p53 expression and carcinoma from the same patient was attempted and yielded results in 1 patient. Interestingly, differing TP53 alterations in the patient's adenocarcinoma and in a histologically benign esophageal submucosal gland with therapy-related epithelial changes and abnormal p53 expression were identified.

Our results demonstrate that abnormal p53 expression is relatively common in gastric mucosal samples following radiation and/or chemotherapy and suggest that p53 expression should be avoided when distinguishing therapy-related changes from dysplasia or carcinoma. Furthermore, our NGS results raise interesting biological questions, which may warrant further investigation.

A case report of esophageal cancer in a patient with pemphigus vulgaris: A coincidence or something beyond that?

BACKGROUND

Pemphigus is a group of rare but serious autoimmune blistering disorders, affecting skin and mucus membrane. Different reports have been published in respect to the coexistence of pemphigus with neoplasms, especially lympho-proliferative ones.

CASE

Here, we have reported a patient previously diagnosed with pemphigus vulgaris (PV) who developed esophageal squamous cell carcinoma (SCC).

CONCLUSION

Dyspepsia and dysphagia in patients with PV might not be merely due to pemphigus erosions or simply an adverse effect of systemic corticosteroid such as irritant or candidal esophagitis and should raise the suspicion of more serious conditions in case of resistant symptoms without appropriate response to treatment.

Predicting Incident Adenocarcinoma of the Esophagus or Gastric Cardia Using Machine Learning of Electronic Health Records

BACKGROUND & AIMS

Tools that can automatically predict incident esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA) using electronic health records to guide screening decisions are needed.

METHODS

The Veterans Health Administration (VHA) Corporate Data Warehouse was accessed to identify Veterans with 1 or more encounters between 2005 and 2018. Patients diagnosed with EAC (n = 8430) or GCA (n = 2965) were identified in the VHA Central Cancer Registry and compared with 10,256,887 controls. Predictors included demographic characteristics, prescriptions, laboratory results, and diagnoses between 1 and 5 years before the index date. The Kettles Esophageal and Cardia Adenocarcinoma predictioN (K-ECAN) tool was developed and internally validated using simple random sampling imputation and extreme gradient boosting, a machine learning method. Training was performed in 50% of the data, preliminary validation in 25% of the data, and final testing in 25% of the data.

RESULTS

K-ECAN was well-calibrated and had better discrimination (area under the receiver operating characteristic curve [AuROC], 0.77) than previously validated models, such as the Nord-Trøndelag Health Study (AuROC, 0.68) and Kunzmann model (AuROC, 0.64), or published guidelines. Using only data from between 3 and 5 years before index diminished its accuracy slightly (AuROC, 0.75). Undersampling men to simulate a non-VHA population, AUCs of the Nord-Trøndelag Health Study and Kunzmann model improved, but K-ECAN was still the most accurate (AuROC, 0.85). Although gastroesophageal reflux disease was strongly associated with EAC, it contributed only a small proportion of gain in information for prediction.

CONCLUSIONS

K-ECAN is a novel, internally validated tool predicting incident EAC and GCA using electronic health records data. Further work is needed to validate K-ECAN outside VHA and to assess how best to implement it within electronic health records.

The role of artificial intelligence in the endoscopic diagnosis of esophageal cancer: a systematic review and meta-analysis

Early detection of esophageal cancer is limited by accurate endoscopic diagnosis of subtle macroscopic lesions. Endoscopic interpretation is subject to expertise, diagnostic skill, and thus human error. Artificial intelligence (AI) in endoscopy is increasingly bridging this gap. This systematic review and meta-analysis consolidate the evidence on the use of AI in the endoscopic diagnosis of esophageal cancer. The systematic review was carried out using Pubmed, MEDLINE and Ovid EMBASE databases and articles on the role of AI in the endoscopic diagnosis of esophageal cancer management were included. A meta-analysis was also performed. Fourteen studies (1590 patients) assessed the use of AI in endoscopic diagnosis of esophageal squamous cell carcinoma-the pooled sensitivity and specificity were 91.2% (84.3-95.2%) and 80% (64.3-89.9%). Nine studies (478 patients) assessed AI capabilities of diagnosing esophageal adenocarcinoma with the pooled sensitivity and specificity of 93.1% (86.8-96.4) and 86.9% (81.7-90.7). The remaining studies formed the qualitative summary. AI technology, as an adjunct to endoscopy, can assist in accurate, early detection of esophageal malignancy. It has shown superior results to endoscopists alone in identifying early cancer and assessing depth of tumor invasion, with the added benefit of not requiring a specialized skill set. Despite promising results, the application in real-time endoscopy is limited, and further multicenter trials are required to accurately assess its use in routine practice.

Increased risk of esophageal squamous cell carcinoma in patients with squamous dysplasia: a nationwide cohort study in the Netherlands

Squamous dysplasia is the histological precursor of esophageal squamous cell carcinoma (ESCC). The optimal management for distinct squamous dysplasia grades remains unclear because the corresponding risk of developing ESCC is unknown. We aimed to assess the ESCC risk in patients with esophageal squamous dysplasia in a Western country. This nationwide cohort study included all patients with esophageal squamous dysplasia, diagnosed between 1991 and 2020 in the Dutch nationwide pathology databank (Palga). Squamous dysplasia was divided in mild-to-moderate dysplasia (mild, low-grade, and moderate dysplasia) and higher-grade dysplasia (high-grade dysplasia, severe dysplasia, carcinoma in situ). ESCC were identified in Palga and the Netherlands Cancer Registry. The primary endpoint was diagnosis of prevalent (≤6 months) and incident (>6 months after squamous dysplasia) ESCC. In total, 873 patients (55% male, aged 68 years SD ± 13.2) were diagnosed with esophageal squamous dysplasia, comprising mild-to-moderate dysplasia (n = 456), higher-grade dysplasia (n = 393), and dysplasia not otherwise specified (n = 24). ESCC was diagnosed in 77 (17%) patients with mild-to-moderate dysplasia (49 prevalent, 28 incident ESCC) and in 162 (41%) patients with higher-grade dysplasia (128 prevalent, 34 incident ESCC). After excluding prevalent ESCC, the annual risk of ESCC was 4.0% (95% CI: 2.7-5.7%) in patients with mild-to-moderate dysplasia and 8.5% (95% CI: 5.9-11.7%) in patients with higher-grade dysplasia. All patients with squamous dysplasia, including those with mild-to-moderate dysplasia, have a substantial risk of developing ESCC. Consequently, endoscopic surveillance of the esophageal mucosa or endoscopic resection of dysplasia should be considered for patients with mild-to-moderate dysplasia in Western countries. KEY MESSAGES What is already known on this topic? Squamous dysplasia is the histological precursor of ESCC and is divided in distinct grades, based on the proportion of the squamous epithelium with histopathological abnormalities. In Western countries, the optimal management for distinct squamous dysplasia grades remains unclear because the corresponding risk of developing ESCC is unknown. What this study adds The ESCC risk of patients with squamous dysplasia was increased for all patients with squamous dysplasia in a Western country; 2.1% for patients with mild dysplasia, 5.1% for low-grade dysplasia, and 5.2% for moderate dysplasia. Increasing grades of squamous dysplasia were associated with an increased ESCC risk. How this study might affect research, practice, or policy We recommend that endoscopic follow-up or treatment should be considered in all patients with esophageal squamous dysplasia in Western countries: 1) for patients with mild, low-grade, and moderate dysplasia, endoscopic surveillance with careful inspection with narrow band imaging or dye-based chromoendoscopy of the esophageal mucosa is indicated; and 2) for patients with high-grade dysplasia, severe dysplasia and carcinoma in situ adequate endoscopic staging and in case of suspected neoplasia endoscopic treatment should be performed.

Case of Concomitant Endoscopic Treatment of Achalasia with Superficial Esophageal Cancer

Achalasia, a rare motility disorder of the esophagus, is generally accepted as a premalignant disorder. This paper presents the case of a 72-year-old male with achalasia and synchronous superficial esophageal cancer who experienced dysphagia symptoms for five years. As achalasia is associated with an increased risk of esophageal cancer, both can be treated simultaneously if detected at the time of diagnosis. Achalasia and synchronous esophageal cancer are rarely detected and treated endoscopically. This paper reports a case of concurrent successful treatment.

Tissue-derived exosome proteomics identifies promising diagnostic biomarkers for esophageal cancer

Esophageal cancer (EC) is a fatal digestive disease with a poor prognosis and frequent lymphatic metastases. Nevertheless, reliable biomarkers for EC diagnosis are currently unavailable. Accordingly, we have performed a comparative proteomics analysis on cancer and paracancer tissue-derived exosomes from eight pairs of EC patients using label-free quantification proteomics profiling and have analyzed the differentially expressed proteins through bioinformatics. Furthermore, nano-flow cytometry (NanoFCM) was used to validate the candidate proteins from plasma-derived exosomes in 122 EC patients. Of the 803 differentially expressed proteins discovered in cancer and paracancer tissue-derived exosomes, 686 were up-regulated and 117 were down-regulated. Intercellular adhesion molecule-1 (CD54) was identified as an up-regulated candidate for further investigation, and its high expression in cancer tissues of EC patients was validated using immunohistochemistry, real-time quantitative PCR (RT-qPCR), and western blot analyses. In addition, plasma-derived exosome NanoFCM data from 122 EC patients concurred with our proteomic analysis. The receiver operating characteristic (ROC) analysis demonstrated that the AUC, sensitivity, and specificity values for CD54 were 0.702, 66.13%, and 71.31%, respectively, for EC diagnosis. Small interference (si)RNA was employed to silence the CD54 gene in EC cells. A series of assays, including cell counting kit-8, adhesion, wound healing, and Matrigel invasion, were performed to investigate EC viability, adhesive, migratory, and invasive abilities, respectively. The results showed that CD54 promoted EC proliferation, migration, and invasion. Collectively, tissue-derived exosomal proteomics strongly demonstrates that CD54 is a promising biomarker for EC diagnosis and a key molecule for EC development.

UPPER GASTROINTESTINAL TRACT ENDOSCOPY: A RETROSPECTIVE ANALYSIS OF INDICATIONS AND FINDINGS AT ATBUTH BAUCHI

Introduction

Upper gastrointestinal (UGI) endoscopy is considered a safe procedure performed for diagnosis, monitoring the course of disease, early detection of complications, treatment, and responses to therapeutic intervention. The indications have increased over the years. This study aimed to analyse the indications, findings, and safety of UGI endoscopy in our environment.

Methodology

A retrospective study of consecutive patients who had UGI endoscopy at ATBUTH over the period of two years (2014 -2016). Data extracted from the records of the patients including biodata, clinical presentation, indications, findings, and complications of the procedure was analyzed using SSPS version 26. The procedure was explained to each patient. After a spray of 10% xylocaine spray to the patient's pharynx, the procedure was carried out with an Olympus CV-170 machine using standard protocols and monitoring of vital signs throughout.

Results

Two hundred and fifty-two patients were included, 148 (58.7%) males, 104 (41.3%) females, age range of 17-85 years (mean age ± SD = 44.1 ± 15.2). The commonest indications were dyspepsia 160 (63.5%). Hematemesis 32 (12.7%), suspicion for gastric 9(3.6%), and oesophageal tumours 6(2.4%) were also indications. The most common finding was gastritis 67 (26.6%). There was increased detection of gastric 11(4.4%) and oesophageal tumours 8(3.2%) more than clinical acumen and in elderly patients with troublesome symptoms. None of the patients developed complications from the procedure.

Conclusions

UGI endoscopy is a safe procedure, and detects gastric and oesophageal tumours more accurately than clinical acumen and is recommended in all patients with troublesome upper GI symptoms.

An Automated Tissue Systems Pathology Test Can Standardize the Management and Improve Health Outcomes for Patients With Barrett's Esophagus

INTRODUCTION

Low-grade dysplasia (LGD) in Barrett's esophagus (BE) is associated with an increased risk of progression to high-grade dysplasia or esophageal adenocarcinoma. However, because of substantial interobserver variability in the diagnosis of LGD, a patient's management plan and health outcome depend largely on which pathologist reviews their case. This study evaluated the ability of a tissue systems pathology test that objectively risk stratifies patients with BE (TissueCypher, TSP-9) to standardize management in a manner consistent with improved health outcomes for patients with BE.

METHODS

A total of 154 patients with BE with community-based LGD from the prospectively followed screening cohort of the SURF trial were studied. Management decisions were simulated 500 times with varying generalist (n = 16) and expert (n = 14) pathology reviewers to determine the most likely care plan with or without use of the TSP-9 test for guidance. The percentage of patients receiving appropriate management based on the known progression/nonprogression outcomes was calculated.

RESULTS

The percentage of patients with 100% of simulations resulting in appropriate management significantly increased from 9.1% for pathology alone, to 58.4% when TSP-9 results were used with pathology, and further increased to 77.3% of patients receiving appropriate management when only TSP-9 results were used. Use of the test results also significantly increased the consistency of management decisions for patients when their slides were reviewed by different pathologists ( P < 0.0001).

DISCUSSION

Management guided by the TSP-9 test can standardize care plans by increasing the early detection of progressors who can receive therapeutic interventions, while also increasing the percentage of nonprogressors who can avoid unnecessary therapy and be managed by surveillance alone.

Second esophageal neoplasms after head and neck index tumor: Incidence, risk factors and prognosis

OBJECTIVE

Patients with head and neck squamous cell carcinoma (HNSCC) have an increased risk of second esophageal neoplasms. The aim of the present study is to evaluate the incidence, risk factors and prognosis of second esophageal neoplasms in patients with HNSCC.

METHODS

A retrospective study of 4711 patients with index tumor in the oral cavity, oropharynx, hypopharynx or larynx between 1985 and 2020 was conducted.

RESULTS

During the period analysed 149 patients (3.2%) had a second esophageal neoplasm. The incidence of second esophageal neoplasia was 0.42% per year and remained nearly constant throughout the follow-up period. According to the results of a multivariate study, the risk factors related to the appearance of second esophageal neoplasms were a history of high alcohol consumption and the location of the primary tumor in the oropharynx or hypopharynx. The 5-year disease-specific survival rate in patients with a second esophageal neoplasm, calculated from the diagnosis of this second neoplasm, was 10.5%.

CONCLUSIONS

Patients with a HNSCC have an increased risk of developing of a second esophageal neoplasm. The risk factors associated with the appearance of a second esophageal neoplasm were severe alcohol consumption and the location of the primary tumor in the oropharynx or hypopharynx.

The Tissue Systems Pathology Test Outperforms Pathology Review in Risk Stratifying Patients With Low-Grade Dysplasia

BACKGROUND & AIMS

Low-grade dysplasia (LGD) is associated with an increased risk of progression in Barrett's esophagus (BE); however, the diagnosis of LGD is limited by substantial interobserver variability. Multiple studies have shown that an objective tissue systems pathology test (TissueCypher Barrett's Esophagus Test, TSP-9), can effectively predict neoplastic progression in patients with BE. This study aimed to compare the risk stratification performance of the TSP-9 test vs benchmarks of generalist and expert pathology.

METHODS

A blinded cohort study was conducted in the screening cohort of a randomized controlled trial of patients with BE with community-based LGD. Biopsies from the first endoscopy with LGD were assessed by the TSP-9 test and independently reviewed by 30 pathologists from 5 countries per standard practice. The accuracy of the test and the diagnoses in predicting high-grade dysplasia (HGD) and esophageal adenocarcinoma (EAC) were compared.

RESULTS

A total of 154 patients with BE (122 men), mean age 60.9 ± 9.8 years were studied. Twenty-four patients progressed to HGD/EAC within 5 years (median time of 1.7 years) and 130 did not progress to HGD/EAC within 5 years (median 7.8 years follow-up). The TSP-9 test demonstrated higher sensitivity (71% vs mean 63%, range 33%-88% across 30 pathologists), than the pathology review in detecting patients who progressed (P = .01186).

CONCLUSIONS

The TSP-9 test outperformed the pathologists in risk stratifying patients with BE with LGD. Care guided by the test can provide an effective solution to variable pathology review of LGD, improving health outcomes by upstaging care to therapeutic intervention for patients at high risk for progression, while reducing unnecessary interventions in low-risk patients.

Effective Postoperative Surveillance Protocol after Thoracoscopic Esophagectomy Focusing on Symptoms in Patients with Esophageal Cancer

BACKGROUND

The optimal postoperative surveillance protocol after esophagectomy for patients with esophageal cancer has still not been established. We investigated the risk factors for recurrence of esophageal cancer to devise an appropriate surveillance protocol. We focused on the appearance and worsening of symptoms to determine if additional imaging examinations should be performed.

STUDY DESIGN

We enrolled 416 patients with esophageal and esophagogastric junctional cancer who had undergone thoracoscopic esophagectomy at Tokai University Hospital. Outpatient visits for the patients are usually scheduled at least 4 times per year with CT imaging and blood biochemical examination. We evaluated the time to recurrence after esophagectomy, especially the correlation of this parameter with the appearance and worsening of symptoms during the postoperative outpatient follow-up.

RESULTS

Of the 416 patients, recurrence occurred in 127 patients (30.5%). The median time to recurrence was 6 months after esophagectomy; recurrence occurred within 24 months in 112 patients (88%), and 51 of these patients (40%) developed some new symptom(s) (symptomatic group) before the diagnosis of recurrence. The number of patients who developed recurrence within 6 months was significantly higher in the symptomatic group compared with that in the asymptomatic group (66.7% vs 46.0%, p = 0.02). The overall survival in the symptomatic group was significantly shorter than that in the asymptomatic group (p < 0.001).

CONCLUSIONS

We advocate an effective surveillance protocol depending on the appearance and worsening of symptoms to diagnose recurrence of esophageal cancer; we recommend routine imaging examinations every 6 months and clinical outpatient follow-up at even shorter intervals for the first 24 months after esophagectomy.

Identification of urinary volatile organic compounds as a potential non-invasive biomarker for esophageal cancer

Early diagnosis of esophageal cancer (EC) is extremely challenging. The study presented herein aimed to assess whether urinary volatile organic compounds (VOCs) may be emerging diagnostic biomarkers for EC. Urine samples were collected from EC patients and healthy controls (HCs). Gas chromatography-ion mobility spectrometry (GC-IMS) was next utilised for volatile organic compound detection and predictive models were constructed using machine learning algorithms. ROC curve analysis indicated that an 8-VOCs based machine learning model could aid the diagnosis of EC, with the Random Forests having a maximum AUC of 0.874 and sensitivities and specificities of 84.2% and 90.6%, respectively. Urine VOC analysis aids in the diagnosis of EC.

Usefulness of the aldehyde breath test for predicting metachronous recurrence in patients with esophageal squamous cell carcinoma and hypopharyngeal squamous cell carcinoma

BACKGROUND

The rate of metachronous recurrence after endoscopic submucosal dissection for early-stage esophageal squamous cell carcinoma and hypopharynx squamous cell carcinoma is as high (10-15%). The acetaldehyde breath test may detect acetaldehyde dehydrogenase 2 gene polymorphisms. Therefore, we evaluated its usefulness in assessing metachronous recurrence in patients with esophageal squamous cell carcinoma and hypopharynx squamous cell carcinoma.

METHODS

A total of 76 patients underwent endoscopic submucosal dissection for esophageal squamous cell carcinoma and hypopharynx squamous cell carcinoma and were followed up for at least 3 years (non-recurrence group: 52 patients; recurrence group: 24 patients). The risk factors for carcinogenesis were compared between the recurrence and non-recurrence groups, and the acetaldehyde-to-ethanol ratio was assessed. The cutoff acetaldehyde-to-ethanol ratio that correlated with recurrence was established, and the cumulative recurrence rate was evaluated.

RESULTS

The recurrence group had a higher acetaldehyde-to-ethanol ratio, daily alcohol consumption, and Lugol-voiding lesion grade than the non-recurrence group in the univariate analysis. The cutoff acetaldehyde-to-ethanol ratio for recurrence was 28.1 based on the receiver operating characteristic curve. The multivariate analysis revealed an acetaldehyde-to-ethanol ratio of > 28.1 and a Lugol-voiding lesion grade associated with carcinogenesis. Patients with an acetaldehyde-to-ethanol ratio of ≥ 28.1 had a significantly high recurrence rate using the Kaplan-Meier method.

CONCLUSIONS

The acetaldehyde-to-ethanol ratio detected using the acetaldehyde breath test could be a novel biomarker of metachronous recurrence after endoscopic submucosal dissection in patients with esophageal squamous cell carcinoma and hypopharynx squamous cell carcinoma.

TRIAL REGISTRATION NUMBER

UMIN000040615.

Exploratory Study of a New Technique of Pixelated Chromoendoscopy in the Diagnosis of Early Esophageal Cancer

BACKGROUND

Chromoendoscopy is an effective method for early screening of esophageal cancer, but diagnosis can depend on subjective judgment. The study aimed to explore a new technique of pixelated chromoendoscopy in the diagnosis of early esophageal cancer.

PATIENTS AND METHODS

The study included patients with symptoms of esophageal cancer who attended Jiangyin People's Hospital between January 2015 and July 2021. Chromoendoscopy was performed on each patient. The images then underwent digital analysis; the lesion area (the sensitive region) was pixelated by dividing it into the smallest image unit and the red, green, and blue color components. The diagnostic performance of pixelated chromoendoscopy was evaluated by calculating the area under the receiver operating characteristic.

RESULTS

The study finally enrolled 86 patients (aged 51.34 ± 5.82 y), including 54 males and 32 females. Pathologic diagnosis identified 54 cases in the cancer group and 32 cases in the non-cancer group. Traditional judgment had a diagnostic sensitivity of 70.73% and specificity was 75.00%. Pixelated chromoendoscopy sensitivity was 80.49%, and specificity was 83.33%. The area under the receiver operating characteristic was 0.814, at a cutoff value of 0.625, indicating a good prediction effect.

CONCLUSIONS

These results showed that pixelated chromoendoscopy might improve the rate of esophageal cancer diagnoses from early screening.

Development of Electronic Health Record-Based Machine Learning Models to Predict Barrett's Esophagus and Esophageal Adenocarcinoma Risk

INTRODUCTION

Screening for Barrett's esophagus (BE) is suggested in those with risk factors, but remains underutilized. BE/esophageal adenocarcinoma (EAC) risk prediction tools integrating multiple risk factors have been described. However, accuracy remains modest (area under the receiver-operating curve [AUROC] ≤0.7), and clinical implementation has been challenging. We aimed to develop machine learning (ML) BE/EAC risk prediction models from an electronic health record (EHR) database.

METHODS

The Clinical Data Analytics Platform, a deidentified EHR database of 6 million Mayo Clinic patients, was used to predict BE and EAC risk. BE and EAC cases and controls were identified using International Classification of Diseases codes and augmented curation (natural language processing) techniques applied to clinical, endoscopy, laboratory, and pathology notes. Cases were propensity score matched to 5 independent randomly selected control groups. An ensemble transformer-based ML model architecture was used to develop predictive models.

RESULTS

We identified 8,476 BE cases, 1,539 EAC cases, and 252,276 controls. The BE ML transformer model had an overall sensitivity, specificity, and AUROC of 76%, 76%, and 0.84, respectively. The EAC ML transformer model had an overall sensitivity, specificity, and AUROC of 84%, 70%, and 0.84, respectively. Predictors of BE and EAC included conventional risk factors and additional novel factors, such as coronary artery disease, serum triglycerides, and electrolytes.

DISCUSSION

ML models developed on an EHR database can predict incident BE and EAC risk with improved accuracy compared with conventional risk factor-based risk scores. Such a model may enable effective implementation of a minimally invasive screening technology.

Using Proteome Microarray and Gene Expression Omnibus Database to Screen Tumour-Associated Antigens to Construct the Optimal Diagnostic Model of Oesophageal Squamous Cell Carcinoma

AIMS

Autoantibodies against tumour-associated antigens (TAAs) are promising biomarkers for early immunodiagnosis of cancers. This study was designed to screen and verify autoantibodies against TAAs in sera as diagnostic biomarkers for oesophageal squamous cell carcinoma (ESCC).

MATERIALS AND METHODS

The customised proteome microarray based on cancer driver genes and the Gene Expression Omnibus database were used to identify potential TAAs. The expression levels of the corresponding autoantibodies in serum samples obtained from 243 ESCC patients and 243 healthy controls were investigated by enzyme-linked immunosorbent assay (ELISA). In total, 486 serum samples were randomly divided into the training set and the validation set in the ratio of 2:1. Logistic regression analysis, recursive partition analysis and support vector machine were performed to establish different diagnostic models.

RESULTS

Five and nine candidate TAAs were screened out by proteome microarray and bioinformatics analysis, respectively. Among these 14 anti-TAAs autoantibodies, the expression level of nine (p53, PTEN, GNA11, SRSF2, CXCL8, MMP1, MSH6, LAMC2 and SLC2A1) anti-TAAs autoantibodies in the cancer patient group was higher than that in the healthy control group based on the results from ELISA. In the three constructed models, a logistic regression model including four anti-TAA autoantibodies (p53, SLC2A1, GNA11 and MMP1) was considered to be the optimal diagnosis model. The sensitivity and specificity of the model in the training set and the validation set were 70.4%, 72.8% and 67.9%, 67.9%, respectively. The area under the receiver operating characteristic curve for detecting early patients in the training set and the validation set were 0.84 and 0.85, respectively.

CONCLUSIONS

This approach to screen novel TAAs is feasible, and the model including four autoantibodies could pave the way for the diagnosis of ESCC.

Low-grade dysplasia in Barrett's esophagus: A problematic diagnosis

Although low-grade dysplasia (LGD) in Barrett's esophagus (BE) is a histopathological diagnosis based on different histological abnormalities, it is still problematic for different reasons. Patients without confirmed diagnosis of LGD undergo unnecessary and intensified follow-up where the risk of progression is low in the majority of cases. In contrast, the presence of confirmed LGD indicates a high risk of progression. In this article we try to address these reasons focusing on re-confirmation of LGD diagnosis, interobserver agreement, and persistent confirmed LGD. The progression risk of LGD to high-grade dysplasia and esophageal adenocarcinoma will also be reviewed.

A case of esophageal squamous cell carcinoma accompanied by pancreatic and bile duct metastases: Successful treatment starts with an accurate diagnosis

ABSTRACT

Pancreatic and bile duct metastases from esophageal cancer are extremely rare. We report a case of advanced esophageal cancer successfully treated with chemotherapy, selected on the basis of an accurate pathologic diagnosis. A 69-year-old man with chronic renal dysfunction presented with persistent abdominal pain and anorexia. Upper gastrointestinal endoscopy revealed an irregular-shaped tumor in the lower esophagus. Computed tomography and ultrasonography revealed swollen para-aortic lymph nodes, a pancreatic mass, and distal bile duct stenosis. Histopathological examination showed that all of the lesions were squamous cell carcinoma with unique immunohistochemical characteristics of p40+ and cytokeratin 7+. The final diagnosis was esophageal squamous cell carcinoma accompanied by lymph node, pancreas, and bile duct metastases. Taking his renal dysfunction into consideration, modified FOLFOX was administered as the first-line chemotherapy. The patient survived for 15 months since his first presentation. The favorable outcome was attributed to the accurate diagnosis based on comprehensive tissue sampling.

Salivary Extracellular MicroRNAs for Early Detection and Prognostication of Esophageal Cancer: A Clinical Study

BACKGROUND & AIMS

Early detection of esophageal squamous cell carcinoma (ESCC) will facilitate curative treatment. We aimed to establish a microRNA (miRNA) signature derived from salivary extracellular vesicles and particles (EVPs) for early ESCC detection and prognostication.

METHODS

Salivary EVP miRNA expression was profiled in a pilot cohort (n = 54) using microarray. Area under the receiver operator characteristic curve (AUROC) and least absolute shrinkage and selector operation regression analyses were used to prioritize miRNAs that discriminated patients with ESCC from controls. Using quantitative reverse transcription polymerase chain reaction, the candidates were measured in a discovery cohort (n = 72) and cell lines. The prediction models for the biomarkers were derived from a training cohort (n = 342) and validated in an internal cohort (n = 207) and an external cohort (n = 226).

RESULTS

The microarray analysis identified 7 miRNAs for distinguishing patients with ESCC from control subjects. Because 1 was not always detectable in the discovery cohort and cell lines, the other 6 miRNAs formed a panel. A signature of this panel accurately identified patients with all-stage ESCC in the training cohort (AUROC = 0.968) and was successfully validated in 2 independent cohorts. Importantly, this signature could distinguish patients with early-stage (stage Ⅰ/Ⅱ) ESCC from control subjects in the training cohort (AUROC = 0.969, sensitivity = 92.00%, specificity = 89.17%) and internal (sensitivity = 90.32%, specificity = 91.04%) and external (sensitivity = 91.07%, specificity = 88.06%) validation cohorts. Moreover, a prognostic signature based on the panel was established and efficiently predicted the high-risk cases with poor progression-free survival and overall survival.

CONCLUSIONS

The salivary EVP-based 6-miRNA signature can serve as noninvasive biomarkers for early detection and risk stratification of ESCC. Chinese Clinical Trial Registry, ChiCTR2000031507.

Magnitude and Time-Trends of Post-Endoscopy Esophageal Adenocarcinoma and Post-Endoscopy Esophageal Neoplasia in a Population-Based Cohort Study: The Nordic Barrett's Esophagus Study

BACKGROUND & AIMS

Post-endoscopy esophageal adenocarcinoma (PEEC) and post-endoscopy esophageal neoplasia (PEEN) undermine early cancer detection in Barrett's esophagus (BE). We aimed to assess the magnitude and conduct time-trend analysis of PEEC and PEEN among patients with newly diagnosed BE.

METHODS

This population-based cohort study was conducted in Denmark, Finland, and Sweden between 2006 and 2020 and included 20,588 patients with newly diagnosed BE. PEEC and PEEN were defined as esophageal adenocarcinoma (EAC) or high-grade dysplasia (HGD)/EAC, respectively, diagnosed 30-365 days from BE diagnosis (index endoscopy). HGD/EAC diagnosed from 0-29 days and HGD/EAC diagnosed >365 days from BE diagnosis (incident HGD/EAC) were assessed. Patients were followed up until HGD/EAC, death, or end of study period. Incidence rates (IR) per 100,000 person-years with 95% confidence interval (95% CI) were calculated using Poisson regression.

RESULTS

Among 293 patients diagnosed with EAC, 69 (23.5%) were categorized as PEEC, 43 (14.7%) as index EAC, and 181 (61.8%) as incident EAC. The IRs/100,000 person-years for PEEC and incident EAC were 392 (95% CI, 309-496), and 208 (95% CI, 180-241), respectively. Among 279 patients diagnosed with HGD/EAC (Sweden only), 17.2% were categorized as PEEN, 14.6% as index HGD/EAC, and 68.1% as incident HGD/EAC. IRs/100,000 person-years for PEEN, and incident HGD/EAC were 421 (95% CI, 317-558), and 285 (95% CI, 247-328), respectively. Sensitivity analyses that varied time interval for occurrence of PEEC/PEEN demonstrated similar results. A time-trend analysis for IRs demonstrated rising incidence rates of PEEC/PEEN.

CONCLUSIONS

Almost a quarter of all EACs are detected within a year after an ostensibly negative upper endoscopy in patients with newly diagnosed BE. Interventions to improve detection may reduce PEEC/PEEN rates.