Endoscopic Ultrasound Compared With Laparoscopy for Staging Esophageal Cancer

The Molecular Biologic Basis of Esophageal and Gastric Cancers

Esophageal cancer and gastric cancer are leading causes of cancer-related mortality worldwide. In this article, the authors discuss the molecular biology of esophageal and gastric cancer with a focus on esophageal adenocarcinoma. They review data from The Cancer Genome Atlas project and advances in the molecular stratification and classification of esophageal carcinoma and gastric cancer. They also summarize advances in microRNA, molecular staging, gene expression profiling, tumor microenvironment, and detection of circulating tumor DNA. Finally, the authors summarize some of the implications of understanding the molecular basis of esophageal cancer and future directions in the management of esophageal cancer.

Minimally invasive staging of esophageal cancer

Esophageal cancer is one of the most common malignancies in the world today and the sixth-leading cause of cancer-related mortality. Accurate preoperative staging of esophageal cancer is imperative to the selection of appropriate treatments. Patients with esophageal carcinomas typically undergo a multimodality staging process including noninvasive imaging techniques, such as computed tomography (CT) and positron emission tomography (PET), as well as endoscopic ultrasound (EUS), which is slightly more invasive. Minimally invasive surgical staging, with laparoscopy, occasionally in combination with video-assisted thoracoscopy, is used in the staging process at select institutions and has been shown to be more accurate than noninvasive staging modalities. Two major advantages of minimally invasive surgical staging over conventional techniques are the improved assessment of locoregional disease and enhanced identification of distant metastases. These advantages decrease the likelihood that the patient will undergo a nontherapeutic laparotomy. Currently, no clear consensus exists regarding which patients with esophageal cancer would benefit most from the addition of minimally invasive surgical staging. We have, however, found that minimally invasive surgical staging with laparoscopy is particularly valuable in detection of occult distant metastases. In this article, we summarize the staging modalities for esophageal cancer including minimally invasive surgical staging.

Minimally invasive surgery for oesophageal cancer

Worldwide an increasing part of oncologic oesophagectomies is performed in a minimally invasive way. Over the past decades multiple reports have addressed the perioperative outcomes and oncologic safety of minimally invasive oesophageal surgery. Although many of these (retrospective) case-control studies identified minimally invasive oesophagectomy as a safe alternative to open techniques, the clear benefit remained subject to debate. Recently, this controversy has partially resolved due to the results of the first randomized controlled trial that compared both techniques. In this trial short-term benefits of minimally invasive oesophagectomy were demonstrated in terms of lower incidence of pulmonary infections, shorter hospital stay and better postoperative quality of life. However, the current lack of long-term data on recurrence rate and overall survival precludes a comprehensive comparison of minimally invasive and open oesophagectomy. Proclaiming minimally invasive oesophagectomy as the standard of care for patients with resectable oesophageal cancer would therefore be a premature decision.

Prognostic value of a nine-gene signature in glioma patients based on mRNA expression profiling

INTRODUCTION

Gliomas are the most common primary brain tumors in adults and a significant cause of cancer-related mortality. A 9-gene signature was identified as a novel prognostic model reflecting survival situation obviously in gliomas.

AIMS

To identify an mRNA expression signature to improve outcome prediction for patients with different glioma grades.

RESULTS

We used whole-genome mRNA expression microarray data of 220 glioma samples of all grades from the Chinese Glioma Genome Atlas (CGGA) database (http://www.cgga.org.cn) as a discovery set and data from Rembrandt and GSE16011 for validation sets. Data from every single grade were analyzed by the Kaplan-Meier method with a two-sided log-rank test. Univariate Cox regression and linear risk score formula were applied to derive a gene signature with better prognostic performance. We found that patients who had high risk score according to the signature had poor overall survival compared with patients who had low risk score. Highly expressed genes in the high-risk group were analyzed by gene ontology (GO) and gene set variation analysis (GSVA). As a result, the reason for the divisibility of gliomas was likely due to cell life processes and adhesion.

CONCLUSION

This 9-gene-signature prediction model provided a more accurate predictor of prognosis that denoted patients with high risk score have poor outcome. Moreover, these risk models based on defined molecular profiles showed the considerable prospect in personalized cancer management.

Gene expression profiles in esophageal adenocarcinoma predict survival after resection

OBJECTIVE

The incidence of esophageal adenocarcinoma is rapidly increasing in the western population. Despite aggressive treatment, survival after esophagectomy is suboptimal. The main objective of the present study was to evaluate the gene expression profiles in esophageal adenocarcinoma and determine their association with survival after resection.

METHODS

We conducted a prospective National Institutes of Health/National Cancer Institute funded study to evaluate the prognostic significance of gene expression in patients with esophageal adenocarcinoma undergoing esophagectomy. Gene expression in tumor tissue was analyzed using high-throughput oligonucleotide arrays. The association of gene expression and overall survival was analyzed using the tail-strength statistic and Cox regression analysis. Gene signatures were constructed with semisupervised methods using principal components. A cross-validated risk score was devised by conducting 10-fold cross-validation, 100 times.

RESULTS

We evaluated the gene expression in 64 patients with esophageal adenocarcinoma who underwent esophagectomy. The median overall survival was 27 months (95% confidence interval 22 to not reached). After filtering, 10,214 probe sets were used for survival analysis. The tail-strength statistic for these probe sets (0.318) indicated a significant association with overall survival. Patients were classified into high- and low-risk groups, according to the gene signature. High-risk patients had a predicted median survival of 19 months, but the median was not reached for the low-risk group (P < .05). On multivariate analysis, the gene signature was independently associated with survival (hazard ratio, 2.22; P = .04).

CONCLUSIONS

Global gene expression levels were significantly associated with overall survival after esophagectomy. Furthermore, individual genes could be successfully combined into a strongly predictive, internally cross-validated gene signature. If validated further, these results could help direct additional clinical trials of neoadjuvant and adjuvant therapies for esophageal adenocarcinoma.

Oesophageal carcinoma

Oesophageal carcinoma affects more than 450,000 people worldwide and the incidence is rapidly increasing. Squamous-cell carcinoma is the predominant form of oesophageal carcinoma worldwide, but a shift in epidemiology has been seen in Australia, the UK, the USA, and some western European countries (eg, Finland, France, and the Netherlands), where the incidence of adenocarcinoma now exceeds that of squamous-cell types. The overall 5-year survival of patients with oesophageal carcinoma ranges from 15% to 25%. Diagnoses made at earlier stages are associated with better outcomes than those made at later stages. In this Seminar we discuss the epidemiology, pathophysiology, diagnosis and staging, management, prevention, and advances in the treatment of oesophageal carcinoma.

Diagnosis and staging of cancer of the esophagus and esophagogastric junction

Esophageal/esophagogastric junction cancer staging in the 7th edition of the AJCC staging manual is data driven and harmonized with gastric staging. New definitions are Tis, T4, regional lymph node, N, and M. Nonanatomic characteristics (histopathologic cell type, histologic grade, cancer location) and TNM classifications determine stage groupings. Classifications before treatment define clinical stage (cTNM or ycTNM). Current best clinical staging modalities include endoscopic ultrasonography for T and N and CT/PET for M. Classifications at resection define pathologic stage (pTNM or ypTNM). Accurate pathologic stage requires communication/cooperation between surgeon and pathologist. Classifications are defined at retreatment (rTNM) and autopsy (aTNM).

Trends in the management of esophageal carcinoma based on provider volume: treatment practices of 618 esophageal surgeons

Controversy exists regarding optimal treatment practices for esophageal cancer. Esophagectomy has received focus as one of the index procedures for both hospital and surgical quality despite a relative paucity of controlled trials to define best practices. A survey was created to determine the degree of heterogeneity in the treatment of esophageal cancer among a diverse group of surgeons and to use high-volume (HV) (>/=15 cases/year) and low-volume (LV) (<15 cases/year) designations to discern specific differences in the management of esophageal cancer from the surgeon's perspective. Based on society rosters, surgeons (n = 4000) in the USA and 15 countries were contacted via mail and queried regarding their treatment practices for esophageal cancer using a 50-item survey instrument addressing demographics, utilization of neoadjuvant chemoradiotherapy, and choice of surgical approach for esophageal resection and palliation. There were 618 esophageal surgeons among respondents (n = 1447), of which 77 (12.5%) were considered HV. The majority of HV surgeons (87%) practiced in an academic setting and had cardiothoracic training, while most LV surgeons were general surgeons in private practice (52.3%). Both HV and LV surgeons favored the hand-sewn cervical anastomosis and the stomach conduit. Minimally invasive esophagectomy is performed more frequently by HV surgeons when compared with LV surgeons (P = 0.045). Most HV surgeons use neoadjuvant therapy for patients with nodal involvement, while LV surgeons are more likely to leave the decision to the oncologist. With a few notable exceptions, substantial heterogeneity exists among surgeons' management strategies for esophageal cancer, particularly when grouped and analyzed by case volume. These results highlight the need for controlled trials to determine best practices in the treatment of this complex patient population.

The role of FDG-PET and staging laparoscopy in the management of patients with cancer of the esophagus or gastroesophageal junction

The effort to improve outcomes in esophageal cancer has included attempts at improving staging and patient selection. 2-Deoxy-2-[(18)F]fluoro-Dglucose positron emission tomography (FDG-PET) has been extensively studied in this context and has been widely accepted as a staging tool. Its role in restaging or assessing therapeutic response is investigational and promising. Laparoscopy has also been studied as a means for improving staging, but its role may be limited in the era of PET. This article discusses the literature assessing these modalities, particularly with regard to the practical management of the patient in the clinic.

Staging and restaging of advanced esophageal cancer

PURPOSE OF REVIEW

Esophageal cancer staging continues to evolve, especially for advanced cases. Computer tomography (CT) scan of the thorax and abdomen to detect metastatic disease, and endoscopic ultrasound with fine needle aspiration (EUS-FNA) remain the preferred methods. Several recent studies have evaluated alternative methods for locoregional and distant disease detection and staging.

RECENT FINDINGS

There seems to be emerging roles for fluorine-18 fluorodeoxyglucose (FDG)-PET, laparoscopic staging, and high-resolution T2-weighted MRI in esophageal cancer staging. Perfusion CT and FDG-PET and FDG-PET/CT may have an emerging role in assessing response to neoadjuvant therapy. Restaging following neoadjuvant therapy remains suboptimal. A 50% or more reduction of tumor thickness by EUS postchemotherapy continues to be the best measure for tumor downstaging survival, while FDG-PET/CT may be more accurate than EUS-FNA and CT scan for predicting nodal status and complete responders after neoadjuvant therapy. Potential methylation analysis, digital image analysis, and fluorescence in-situ hybridization on EUS-FNA samples may increase the yield and prove to be better than routine cytology.

SUMMARY

For advanced esophageal cancer, locoregional staging is best performed with EUS-FNA, with CT scan of the thorax and abdomen and FDG-PET, to detect metastatic disease. The role of EUS in restaging following neoadjuvant therapy remains controversial, with recent studies showing that FDG-PET/CT may be more accurate than EUS-FNA and CT scan for predicting nodal status and complete responders after neoadjuvant therapy.

Resection for esophageal cancer: strategies for optimal management

There are several controversies in the optimal management of esophageal cancer, including the surgical approach, extent of resection, and the role of multimodality treatment. Optimal surgical treatment strategies include patient selection, accurate staging and risk assessment, selection of an appropriate surgical approach, and the use of multimodality treatment in the management of these patients. In addition, other factors such as hospital and surgeon volume are important in reducing the risks of esophagectomy. In this article we discuss our approach and review the literature on these aspects that have an impact on outcomes after esophagectomy.