Clinical implication of the innovations of the 8th edition of the TNM classification for esophageal and esophago-gastric cancer

Advances in the Imaging of Esophageal and Gastroesophageal Junction Malignancies

Accurate imaging is key for the diagnosis and treatment of esophageal and gastroesophageal junction cancers . Current imaging modalities, such as computed tomography (CT) and 18F-FDG (2-deoxy-2-[18F]fluoro-D-glucose) positron emission tomography (PET)/CT, have limitations in accurately staging these cancers. MRI shows promise for T staging and residual disease assessment. Novel PET tracers, like FAPI, FLT, and hypoxia markers, offer potential improvements in diagnostic accuracy. 18F-FDG PET/MRI combines metabolic and anatomic information, enhancing disease evaluation. Radiomics and artificial intelligence hold promise for early detection, treatment planning, and response assessment. Theranostic nanoparticles and personalized medicine approaches offer new avenues for cancer therapy.

Tumor differentiation impacts response to neoadjuvant therapy and survival in patients with esophageal adenocarcinoma

OBJECTIVE

The current staging system for esophageal adenocarcinoma only considers tumor grade in early tumors. The aim of this study was to evaluate the impact of tumor differentiation on response to neoadjuvant chemoradiotherapy and survival in patients with locally advanced esophageal adenocarcinoma.

METHODS

This was a multi-institution retrospective review of all patients with esophageal cancer who underwent neoadjuvant chemoradiotherapy followed by esophagectomy from January 2010 to December 2017. Response to neoadjuvant therapy and survival was compared between patients with well- or moderately differentiated (G1/2) tumors versus poorly differentiated (G3) tumors.

RESULTS

There were 550 patients, 485 men (88.2%) and 65 women. The median age was 61 years, and the tumor was G1/2 in 288 (52.4%) and G3 in 262 patients. Overall clinical stage before neoadjuvant therapy was similar between groups. Pathologic complete response (pCR) was found in 87 patients (15.8%). The frequency of pCR was similar between groups, but residual disease in the esophagus and lymph nodes was significantly more likely with G3 tumors. Median follow-up was 63 months and absolute survival, overall survival, and disease-free survival were all significantly worse in patients with G3 tumors. Further, even with pCR, patients with G3 tumors had significantly worse survival.

CONCLUSIONS

This study showed that response to neoadjuvant therapy was not affected by tumor differentiation. However, poor differentiation was associated with worse survival compared with patients with G1/2 tumors, even among those with pCR. These results suggest that poor differentiation should be considered as an added risk factor for clinical staging in patients with locally advanced esophageal adenocarcinoma.

Nomograms for Predicting Risk and Survival of Esophageal Cancer Lung Metastases: a SEER Analysis

Background: The overall survival rate is notably low for esophageal cancer patients with lung metastases (LM), presenting significant challenges in their treatment. Methods: Through the Surveillance, Epidemiology, and End Results (SEER) program, individuals diagnosed with esophageal cancer between 2010 and 2015 were enrolled. Based on whether esophageal cancer metastasized to the lungs, we used propensity score matching (PSM) to balance correlated variables. Propensity score matching was a critical step in our study that helped to minimize the impact of possible confounders on the study results. We balanced variables related to lung metastases using the PSM method to ensure more accurate comparisons between the study and control groups. Specifically, we performed PSM in the following steps. First, we performed a univariate logistic regression analysis to screen for variables associated with lung metastasis. For each patient, we calculated their propensity scores using a logistic regression model, taking into account several factors, including gender, T-stage, N-stage, surgical history, radiotherapy history, chemotherapy history, and bone/brain/liver metastases. We used a 1:1 matching ratio based on the propensity score to ensure more balanced baseline characteristics between the study and control groups after matching. After matching, we validated the balance of baseline characteristics to ensure that the effect of confounders was minimized. We used logistic regression to identify risk variables for LM, while Cox regression was used to find independent prognostic factors. We then created nomograms and assessed their accuracy using the calibration curve, receiver operating curves (ROC), and C index. Results: In the post-PSM cohort, individuals diagnosed with LM experienced a median overall survival (OS) of 5.0 months (95% confidence interval [CI] 4.3-5.7), which was significantly lower than those without LM (P<0.001). LM has been associated to sex, T stage, N stage, surgery, radiation, chemotherapy, and bone/brain/liver metastases. LM survival was affected by radiation, chemotherapy, and bone/liver metastases. The nomograms' predictive power was proved using the ROC curve, C-index, and validation curve. Conclusion: Patients with LM have a worse chance of surviving esophageal cancer. The nomograms can effectively predict the risk and prognosis of lung metastases from esophageal cancer.

Unveiling the best predictive models for early‑onset metastatic cancer: Insights and innovations (Review)

Cancer metastasis is the primary cause of cancer deaths. Metastasis involves the spread of cancer cells from the primary tumors to other body parts, commonly through lymphatic and vascular pathways. Key aspects include the high mutation rate and the capability of metastatic cells to form invasive tumors even without a large initial tumor mass. Particular emphasis is given to early metastasis, occurring in initial cancer stages and often leading to misdiagnosis, which adversely affects survival and prognosis. The present review highlighted the need for improved understanding and detection methods for early metastasis, which has not been effectively identified clinically. The present review demonstrated the clinicopathological and molecular characteristics of early‑onset metastatic types of cancer, noting factors such as age, race, tumor size and location as well as the histological and pathological grade as significant predictors. In conclusion, the present review underscored the importance of early detection and management of metastatic types of cancer and called for improved predictive models, including advanced techniques such as nomograms and machine learning, so as to enhance patient outcomes, acknowledging the challenges and limitations of the current research as well as the necessity for further studies.

Nomogram based on multimodal magnetic resonance combined with B7-H3mRNA for preoperative lymph node prediction in esophagus cancer

BACKGROUND

Accurate preoperative prediction of lymph node metastasis (LNM) in esophageal cancer (EC) patients is of crucial clinical significance for treatment planning and prognosis.

AIM

To develop a clinical radiomics nomogram that can predict the preoperative lymph node (LN) status in EC patients.

METHODS

A total of 32 EC patients confirmed by clinical pathology (who underwent surgical treatment) were included. Real-time fluorescent quantitative reverse transcription-polymerase chain reaction was used to detect the expression of B7-H3 mRNA in EC tissue obtained during preoperative gastroscopy, and its correlation with LNM was analyzed. Radiomics features were extracted from multi-modal magnetic resonance imaging of EC using Pyradiomics in Python. Feature extraction, data dimensionality reduction, and feature selection were performed using XGBoost model and leave-one-out cross-validation. Multivariable logistic regression analysis was used to establish the prediction model, which included radiomics features, LN status from computed tomography (CT) reports, and B7-H3 mRNA expression, represented by a radiomics nomogram. Receiver operating characteristic area under the curve (AUC) and decision curve analysis (DCA) were used to evaluate the predictive performance and clinical application value of the model.

RESULTS

The relative expression of B7-H3 mRNA in EC patients with LNM was higher than in those without metastasis, and the difference was statistically significant (P < 0.05). The AUC value in the receiver operating characteristic (ROC) curve was 0.718 (95%CI: 0.528-0.907), with a sensitivity of 0.733 and specificity of 0.706, indicating good diagnostic performance. The individualized clinical prediction nomogram included radiomics features, LN status from CT reports, and B7-H3 mRNA expression. The ROC curve demonstrated good diagnostic value, with an AUC value of 0.765 (95%CI: 0.598-0.931), sensitivity of 0.800, and specificity of 0.706. DCA indicated the practical value of the radiomics nomogram in clinical practice.

CONCLUSION

This study developed a radiomics nomogram that includes radiomics features, LN status from CT reports, and B7-H3 mRNA expression, enabling convenient preoperative individualized prediction of LNM in EC patients.

Preoperative ultrasound-guided dual localization with titanium clips and carbon nanoparticles for predicting the surgical approach and guiding the resection of Siewert type II esophagogastric junction adenocarcinoma

OBJECTIVE

To investigate the superiority of preoperative ultrasound-guided titanium clip and nanocarbon dual localization over traditional methods for determining the surgical approach and guiding resection of Siewert type II adenocarcinoma of the esophagogastric junction (AEG).

METHOD

This study included 66 patients with Siewert type II AEG who were treated at the PLA Joint Logistics Support Force 900th Hospital between September 1, 2021, and September 1, 2023. They were randomly divided into an experimental group (n = 33), in which resection was guided by the dual localization technique, and the routine group (n = 33), in which the localization technique was not used. Surgical approach predictions, proximal esophageal resection lengths, pathological features, and the occurrence of complications were compared between the groups.

RESULT

The use of the dual localization technique resulted in higher accuracy in predicting the surgical approach (96.8% vs. 75.9%, P = 0.02) and shorter proximal esophageal resection lengths (2.39 ± 0.28 cm vs. 2.86 ± 0.39 cm, P < 0.001) in the experimental group as compared to the routine group, while there was no significant difference in the incidence of postoperative complications (22.59% vs. 24.14%, P = 0.88).

CONCLUSION

Preoperative dual localization with titanium clips and carbon nanoparticles is significantly superior to traditional methods and can reliably delineate the actual infiltration boundaries of Siewert type II AEG, guide the surgical approach, and avoid excessive esophageal resection.

CT-based radiomics for predicting lymph node metastasis in esophageal cancer: a systematic review and meta-analysis

Objective

We aimed to evaluate the diagnostic effectiveness of computed tomography (CT)-based radiomics for predicting lymph node metastasis (LNM) in patients diagnosed with esophageal cancer (EC).

Methods

The present study conducted a comprehensive search by accessing the following databases: PubMed, Embase, Cochrane Library, and Web of Science, with the aim of identifying relevant studies published until July 10th, 2023. The diagnostic accuracy was summarized using the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC). The researchers utilized Spearman's correlation coefficient for assessing the threshold effect, besides performing meta-regression and subgroup analysis for the exploration of possible heterogeneity sources. The quality assessment was conducted using the Quality Assessment of Diagnostic Accuracy Studies-2 and the Radiomics Quality Score (RQS).

Results

The meta-analysis included six studies conducted from 2018 to 2022, with 483 patients enrolled and LNM rates ranging from 27.2% to 59.4%. The pooled sensitivity, specificity, PLR, NLR, DOR, and AUC, along with their corresponding 95% CI, were 0.73 (0.67, 0.79), 0.76 (0.69, 0.83), 3.1 (2.3, 4.2), 0.35 (0.28, 0.44), 9 (6, 14), and 0.78 (0.74, 0.81), respectively. The results demonstrated the absence of significant heterogeneity in sensitivity, while significant heterogeneity was observed in specificity; no threshold effect was detected. The observed heterogeneity in the specificity was attributed to the sample size and CT-scan phases (P < 0.05). The included studies exhibited suboptimal quality, with RQS ranging from 14 to 16 out of 36. However, most of the enrolled studies exhibited a low-risk bias and minimal concerns relating to applicability.

Conclusion

The present meta-analysis indicated that CT-based radiomics demonstrated a favorable diagnostic performance in predicting LNM in EC. Nevertheless, additional high-quality, large-scale, and multicenter trials are warranted to corroborate these findings.

Systematic Review Registration

Open Science Framework platform at https://osf.io/5zcnd.

Esophageal cancer - French intergroup clinical practice guidelines for diagnosis, treatments and follow-up (TNCD, SNFGE, FFCD, GERCOR, UNICANCER, SFCD, SFED, SFRO, ACHBT, SFP, RENAPE, SNFCP, AFEF, SFR)

INTRODUCTION

This document is a summary of the French intergroup guidelines regarding the management of esophageal cancer (EC) published in July 2022, available on the website of the French Society of Gastroenterology (SNFGE) (www.tncd.org).

METHODS

This collaborative work was conducted under the auspices of several French medical and surgical societies involved in the management of EC. Recommendations were graded in three categories (A, B and C), according to the level of evidence found in the literature until April 2022.

RESULTS

EC diagnosis and staging evaluation are mainly based on patient's general condition assessment, endoscopy plus biopsies, TAP CT-scan and 18F FDG-PET. Surgery alone is recommended for early-stage EC, while locally advanced disease (N+ and/or T3-4) is treated with perioperative chemotherapy (FLOT) or preoperative chemoradiation (CROSS regimen) followed by immunotherapy for adenocarcinoma. Preoperative chemoradiation (CROSS regimen) followed by immunotherapy or definitive chemoradiation with the possibility of organ preservation are the two options for squamous cell carcinoma. Salvage surgery is recommended for incomplete response or recurrence after definitive chemoradiation and should be performed in an expert center. Treatment for metastatic disease is based on systemic therapy including chemotherapy, immunotherapy or combined targeted therapy according to biomarkers testing such as HER2 status, MMR status and PD-L1 expression.

CONCLUSION

These guidelines are intended to provide a personalised therapeutic strategy for daily clinical practice and are subject to ongoing optimization. Each individual case should be discussed by a multidisciplinary team.

Nomogram based on pretreatment hepatic and renal function indicators for survival prediction of locally advanced esophageal squamous cell carcinoma with treatment of neoadjuvant chemoradiotherapy plus surgery

The parameters for survival prediction of esophageal squamous cell carcinoma (ESCC) patients treated with neoadjuvant chemoradiotherapy (NCRT) combined with surgery are unclear. Here, we aimed to construct a nomogram for survival prediction of ESCC patients treated with NCRT combined with surgery based on pretreatment serological hepatic and renal function tests. A total of 174 patients diagnosed as ESCC were enrolled as a training cohort from July 2007 to June 2019, and approximately 50% of the cases (n = 88) were randomly selected as an internal validation cohort. Univariate and multivariate Cox survival analyses were performed to identify independent prognostic factors to establish a nomogram. Predictive accuracy of the nomogram was evaluated by Harrell's concordance index (C-index) and calibration curve. ALT, ALP, TBA, TP, AST, TBIL and CREA were identified as independent prognostic factors and incorporated into the construction of the hepatic and renal function test nomogram (HRFTNomogram). The C-index of the HRFTNomogram for overall survival (OS) was 0.764 (95% CI 0.701-0.827) in the training cohort, which was higher than that of the TNM staging system (0.507 (95% CI 0.429-0.585), P < 0.001). The 5-year OS calibration curve of the training cohort demonstrated that the predictive accuracy of the HRFTNomogram was satisfactory. Moreover, patients in the high-risk group stratified by the HRFTNomogram had poorer 5-year OS than those in the low-risk group in the training cohort (27.4% vs. 80.3%, P < 0.001). Similar results were observed in the internal validation cohort. A novel HRFTNomogram might help predict the survival of locally advanced ESCC patients treated with NCRT followed by esophagectomy.

RASSF1A promotes ATM signaling and RASSF1A methylation is a synthetic lethal marker for ATR inhibitors

Aim: The mechanism of RASSF1A in DNA damage repair remains to be further clarified for applying to synthetic lethal strategy. Materials & methods: Eight esophageal cancer cell lines, 181 cases of esophageal dysplasia and 1066 cases of primary esophageal squamous cell carcinoma (ESCC) were employed. Methylation-specific PCR, the CRISPR/Cas9 technique, immunoprecipitation assay and a xenograft mouse model were used. Results: RASSF1A was methylated in 2.21% of esophageal dysplasia and 11.73% of ESCC. RASSF1A was also involved in DNA damage repair through activating Hippo signaling. Loss of RASSF1A expression sensitized esophageal cancer cell lines to ataxia telangiectasia mutated and rad3-related (ATR) inhibitor (VE-822) both in vitro and in vivo. Conclusion: RASSF1A methylation is a synthetic lethal marker for ATR inhibitors.

Caution against simultaneous integrated boost radiotherapy for upper thoracic esophageal squamous cell carcinoma: results from a single-arm phase II trial

PURPOSE

To explore the feasibility and safety of simultaneous integrated boost technology (SIB) with elective nodal irradiation (ENI) to the cervical and upper mediastinal lymph node (LN) regions in upper thoracic esophageal squamous cell carcinoma (ESCC).

MATERIAL AND METHODS

Patients with pathologically proven unresectable upper thoracic ESCC were assigned 50.4 Gy/28 fractions (F) to the clinical target volume (encompassing the ENI area of cervical and upper mediastinal LN regions) and a boost of 63 Gy/28 F to the gross tumor volume. Chemotherapy consisted of courses of concurrent cisplatin (20 mg/m2) and docetaxel (20 mg/m2) weekly for 6 weeks. The primary endpoint was toxicity.

RESULTS

Between Jan 2017 and Dec 2019, 28 patients were included. The median follow-up time for all patients was 24.6 months (range 1.9-53.5). Radiation-related acute toxicity included esophagitis, pneumonia and radiodermatitis, all of which were well managed and reversed. Late morbidity included esophageal ulcer, stenosis, fistula and pulmonary fibrosis. Grade III esophageal stenosis and fistula was seen in 11% (3/28) and 14% (4/28) patients, respectively. The cumulative incidence rate of late esophageal toxicity was 7.7%, 19.2% and 24.6% at 6, 12 and 18 months, respectively. There was significant difference of the occurrence of severe late esophageal toxicity among the different volume levels of the esophagus, and cervical and upper mediastinal LNs which received ≥ 63 Gy stratified by the tertiles (p = 0.014).

CONCLUSIONS

Despite the acceptably tolerated acute toxicity of SIB in concurrent CRT with ENI to the cervical and upper mediastinal LN regions for upper thoracic ESCC, the incidence of severe late esophageal toxicity was relatively high. Cautions are provided against easy clinical application of SIB (50.4 Gy/28F to the CTV, 63 Gy/28F to the GTV) in upper thoracic ESCC. Further exploration on dose optimization is warranted.

Nomogram for predicting the likelihood of liver metastases at initial diagnosis in patients with Siewert type II gastroesophageal junction adenocarcinoma

The liver is one of the most ordinary metastatic sites of gastroesophageal junction adenocarcinoma and significantly affects its prognosis. Therefore, this study tried to construct a nomogram that can be applied to predict the likelihood of liver metastases from gastroesophageal junction adenocarcinoma. 3001 eligible patients diagnosed with gastroesophageal junction adenocarcinoma between 2010 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) database were involved in the analysis. Patients were randomly divided into a training cohort and an internal validation cohort using R software, with an allocation ratio of 7:3. According to the consequences of univariate and multivariate logistic regression, we constructed a nomogram for predicting the risk of liver metastases. The discrimination and calibration ability of the nomogram was appraised by the C-index, ROC curve, calibration plots, and decision curve analysis (DCA). We also used Kaplan-Meier survival curves to compare differences in overall survival in patients with gastroesophageal junction adenocarcinoma with and without liver metastases. Liver metastases developed in 281 of 3001 eligible patients. The overall survival of patients with gastroesophageal junction adenocarcinoma with liver metastases before and after propensity score matching (PSM) was obviously lower than that of patients without liver metastases. Six risk factors were finally recognized by multivariate logistic regression, and a nomogram was constructed. The C-index was 0.816 in the training cohort and 0.771 in the validation cohort, demonstrating the good predictive capacity of the nomogram. The ROC curve, calibration curve, and decision curve analysis further demonstrated the good performance of the predictive model. The nomogram can accurately predict the likelihood of liver metastases in gastroesophageal junction adenocarcinoma patients.

Impact of neoadjuvant FLOT treatment of advanced gastric and gastroesophageal junction cancer following surgical therapy

Introduction

Therapeutic treatment for advanced-stage (T2–T4) gastroesophageal junction (GEJ) and gastric cancer involves neoadjuvant chemotherapy with subsequent surgical intervention.

Method

Neoadjuvant oncological treatment for GEJ and gastric cancer previously consisted of the intravenous administration of epirubicin, cisplatin and fluorouracil (ECF) or epirubicin, cisplatin and capecitabine (ECX) combination (Group 1). The new protocol (FLOT, F: 5-FU, L: leucovorin, O: oxaliplatin, T: docetaxel), included patients with resectable GEJ and gastric cancer who had a clinical stage cT2 or higher nodal positive cN+ disease (Group 2). Between 31 December 2008 and 31 October 2022, the effect of different oncological protocols in terms of surgical outcomes in cases of T2–T4 tumours were retrospectively evaluated. Results of randomly assigned patients from the earlier ECF/ECX protocol (n = 36) (Group 1) and the new FLOT protocol (n = 52) (Group 2) were compared. Effect of different neoadjuvant therapies on tumour regression, types of possible side effects, type of surgery, and oncological radicality of surgical procedures were analysed.

Results

When comparing the two groups, we found that in case of the FLOT neoadjuvant chemotherapy (Group 2, n = 52), complete regression was achieved in 13.95% of patients, whereas in the case of ECF/ECX (Group 1, n = 36), complete regression occurred in only 9.10% of patients. Furthermore, in the FLOT group, the mean number of lymph nodes removed was slightly higher (24.69 vs. 20.13 in the ECF/ECX group). In terms of the safety resection margin (proximal), no significant difference was found between the two treatment groups. Nausea and vomiting were the most common side effects. The occurrence of diarrhea was significantly higher in the FLOT group (p = 0.006). Leukopenia and nausea occurred more commonly with the old protocol (Group 1). The rate of neutropenia was lower following FLOT treatment (p = 0.294), with the lack of grade II and III cases. Anaemia occured at a significantly higher rate (p = 0.036) after the ECF/ECX protocol.

Conclusions

As a result of the FLOT neoadjuvant oncological protocol for advanced gastro-esophageal junction and gastric cancer, the rate of complete tumour regression increased significantly. The rate of side effects was also appreciably lower following the FLOT protocol. These results strongly suggest a significant advantage of the FLOT neoadjuvant treatment used before surgery.

Does radiomics play a role in the diagnosis, staging and re-staging of gastroesophageal junction adenocarcinoma?

Radiomics is an emerging field of investigation in medicine consisting in the extraction of quantitative features from conventional medical images and exploring their potentials in improving diagnosis, prognosis and outcome prediction after therapy. Clinical applications are still limited, mostly due to reproducibility and repeatability issues as well as to limited interpretability of predictive radiomic-based features/signatures. In the specific case of gastroesophageal junction (GEJ) adenocarcinoma, the expectancies are particularly high, mainly due to its increasing incidence and to the limited performance of conventional imaging techniques in assessing correct diagnosis and accurate pre-surgical tumor characterization. Accordingly, current literature was reviewed, emphasizing the methodological quality. In addition, papers were scored according to the Radiomic Quality Score (RQS), weighting more the clinical applicability and generalizability of the resulting models. According to the criteria of the search, only two papers were retained: the resulting technical quality was relatively high for both, while the corresponding RQS were 15 and 19 (on a scale of 31). Although the potentials of radiomics in the setting of GEJ adenocarcinoma are relevant, they remain largely unexplored, warranting an urgent need of high-quality, possibly prospective, multicenter studies.

Perioperative Outcomes and Learning Curve of Robot-Assisted McKeown Esophagectomy

BACKGROUND

This study aimed to evaluate the perioperative outcomes of patients undergoing robot-assisted McKeown esophagectomy (RAME) and the learning curves of surgeons performing RAME at a single center.

METHODS

Perioperative outcomes of RAME and video-assisted McKeown esophagectomy (VAME) were compared after eliminating confounding factors by propensity score matching (PSM). The cumulative sum (CUSUM) method was used to evaluate the learning curves of RAME for a single surgical team.

RESULTS

In general, a total of 198 patients with esophageal cancer (RAME: 45 patients, VAME: 153 patients) were included in this study, and 43 pairs of patients receiving RAME or VAME were matched using 1:1 PSM analysis. Those in the RAME group had more lymph nodes dissected in the total lymph nodes (median 29.0 vs. 26.0, P = 0.011) and the upper mediastinum (median 8.0 vs. 6.0, P < 0.001), especially the left recurrent laryngeal nerve (RLN) lymph node (median 4.0 vs. 2.0, P = 0.001). According to the trend of the CUSUM plot, the learning curve was divided into two stages at the 20th RAME procedure. After mastering the learning curve, RAME harvested a significantly higher number of upper mediastinal lymph nodes (median 9.0 vs. 6.0, P = 0.001), left RLN lymph nodes (median 5.0 vs. 3.5, P = 0.003), and right RLN lymph nodes (median 4.0 vs. 2.0, P = 0.002). Meanwhile, the incidence of postoperative pneumonia in the proficiency phase was significantly lower than that in the learning phase (4.0% vs. 25.0%, P = 0.04).

CONCLUSIONS

RAME improved left RLN lymph node dissection. Surgeons with extensive VAME experience need at least 20 cases to achieve early proficiency in RAME.

The efficacy and safety of neoadjuvant immunotherapy in resectable locally advanced esophageal squamous cell carcinoma: A systematic review and meta-analysis

Objective

This systematic review and meta-analysis aimed to explore the efficacy and safety of neoadjuvant immunotherapy in patients with resectable locally advanced esophageal squamous cell carcinoma (ESCC).

Background

Several studies have reported the outcomes of neoadjuvant immunotherapy in patients with ESCC. However, phase 3 randomized controlled trials (RCTs) with long-term outcomes and the comparison of different therapeutic strategies are lacking.

Methods

Studies involving patients with advanced ESCC treated with preoperative neoadjuvant immune checkpoint inhibitors (ICIs) were searched through PubMed, Embase, and Cochrane Library up to July 1, 2022. The outcomes were presented as proportions and pooled respectively by fixed or random effect model depending on the heterogeneity between studies. All analyses were performed using the R packages meta 5.5-0 and meta-for 3.4-0.

Results

Thirty trials involving 1406 patients were included in the meta-analysis. The pooled pathological complete response (pCR) rate for neoadjuvant immunotherapy was 0.30 (95% confidence interval [CI]: 0.26-0.33). The pCR rate of neoadjuvant immunotherapy combined with chemoradiotherapy (nICRT) was significantly higher than that of neoadjuvant immunotherapy combined with chemotherapy (nICT) (nICRT: 0.48, 95% CI: 0.31-0.65; nICT: 0.29, 95% CI: 0.26-0.33; p=0.03). No significant difference in efficacy was observed between the different chemotherapy agents and treatment cycles. The incidences of grade 1-2 and 3-4 treatment-related adverse events (TRAEs) were 0.71 (95% CI: 0.56-0.84) and 0.16 (95% CI: 0.09-0.25), respectively. Patients treated with nICRT and carboplatin had a higher incidence of grade 3-4 TRAEs compared with those treated with nICT (nICRT: 0.46, 95% CI: 0.17-0.77; nICT: 0.14, 95% CI: 0.07-0.22; p=0.03) and cisplatin (carboplatin: 0.33, 95% CI: 0.15-0.53; cisplatin: 0.04, 95% CI: 0.01-0.09; p<0.01).

Conclusion

Neoadjuvant immunotherapy has good efficacy and safety profiles in patients with locally advanced ESCC. Additional RCTs with long-term survival data are warranted.

Alpha-Fetoprotein-Producing Esophageal Adenocarcinoma With Enteroblastic, Yolk Sac Tumor-Like, and Hepatoid Carcinoma Differentiation: A Rare Case and Literature Review

We report a case of a 65-year-old man with alpha-fetoprotein (AFP)-producing esophageal adenocarcinoma that microscopically consisted of a polymorphous blend of enteroblastic, yolk sac-like, and hepatoid carcinoma components of variable proportions. No histological evidence of Barrett's esophagus was identified. Two weeks post-endoscopic mucosal mass resection, the serum AFP level was 1434.6 ng/mL. The patient underwent radiation and chemotherapy but developed metastatic lung lesions. At 18 months post-resection, the patient is alive. AFP-producing esophageal adenocarcinoma is a rare entity. We reviewed reported cases for clinicopathological features, treatment strategies, and prognosis.

Prediction of Individual Lymph Node Metastatic Status in Esophageal Squamous Cell Carcinoma Using Routine Computed Tomography Imaging: Comparison of Size-Based Measurements and Radiomics-Based Models

BACKGROUND

Lymph node status is vital for prognosis and treatment decisions for esophageal squamous cell carcinoma (ESCC). This study aimed to construct and evaluate an optimal radiomics-based method for a more accurate evaluation of individual regional lymph node status in ESCC and to compare it with traditional size-based measurements.

METHODS

The study consecutively collected 3225 regional lymph nodes from 530 ESCC patients receiving upfront surgery from January 2011 to October 2015. Computed tomography (CT) scans for individual lymph nodes were analyzed. The study evaluated the predictive performance of machine-learning models trained on features extracted from two-dimensional (2D) and three-dimensional (3D) radiomics by different contouring methods. Robust and important radiomics features were selected, and classification models were further established and validated.

RESULTS

The lymph node metastasis rate was 13.2% (427/3225). The average short-axis diameter was 6.4 mm for benign lymph nodes and 7.9 mm for metastatic lymph nodes. The division of lymph node stations into five regions according to anatomic lymph node drainage (cervical, upper mediastinal, middle mediastinal, lower mediastinal, and abdominal regions) improved the predictive performance. The 2D radiomics method showed optimal diagnostic results, with more efficient segmentation of nodal lesions. In the test set, this optimal model achieved an area under the receiver operating characteristic curve of 0.841-0.891, an accuracy of 84.2-94.7%, a sensitivity of 65.7-83.3%, and a specificity of 84.4-96.7%.

CONCLUSIONS

The 2D radiomics-based models noninvasively predicted the metastatic status of an individual lymph node in ESCC and outperformed the conventional size-based measurement. The 2D radiomics-based model could be incorporated into the current clinical workflow to enable better decision-making for treatment strategies.

A modified survival model for patients with esophageal squamous cell carcinoma based on lymph nodes: A study based on SEER database and external validation

Background

The counts of examined lymph nodes (ELNs) in predicting the prognosis of patients with esophageal squamous cell carcinoma (ESCC) is a controversial issue. We conducted a retrospective study to develop an ELNs-based model to individualize ESCC prognosis.

Methods

Patients with ESCC from the SEER database and our center were strictly screened. The optimal threshold value was determine by the X-tile software. A prognostic model for ESCC patients was developed and validated with R. The model’s efficacy was evaluated by C-index, ROC curve, and decision curve analysis (DCA).

Results

3,629 cases and 286 cases were screened from the SEER database and our center, respectively. The optimal cut-off value of ELNs was 10. Based on this, we constructed a model with a favorable C-index (training group: 0.708; external group 1: 0.687; external group 2: 0.652). The model performance evaluated with ROC curve is still reliable among the groups. 1-year AUC for nomogram in three groups (i.e., 0.753, 0.761, and 0.686) were superior to that of the TNM stage (P < 0.05). Similarly, the 3-year AUC and the 5-year AUC results for the model were also higher than that of the 8th TNM stage. By contrast, DCA showed the benefit of this model was better in the same follow-up period.

Conclusion

More than 10 ELNs are helpful to evaluate the survival of ESCC patients. Based on this, an improved model for predicting the prognosis of ESCC patients was proposed.

Targeting MYO1B impairs tumorigenesis via inhibiting the SNAI2/cyclin D1 signaling in esophageal squamous cell carcinoma

Myosin‐related proteins play an important role in cancer progression. However, the clinical significance, biological functions, and mechanisms of myosin 1B (MYO1B), in esophageal squamous cell carcinoma (ESCC) remain unclear. The clinical relevance of MYO1B, SNAI2, and cyclin D1 in ESCC was determined by immunohistochemistry, Oncomine, and GEPIA databases. The oncogenic roles of MYO1B were determined by CCK8, colony formation assays, wound healing, and Transwell assay. MYO1B, SNAI2, and cyclin D1 at mRNA and protein levels in ESCC cells were detected by qPCR and Western blot analysis. In our study, we found that MYO1B expression was increased in ESCC tissue samples and correlated with tumor stage, TNM stage, and poor outcomes. Functional assays indicated that depletion of MYO1B impaired oncogenesis, and enhanced chemosensitivity in ESCC. Bioinformatic analysis and mechanistic studies illustrated that SNAI2 was a key downstream effector of MYO1B. Suppression of MYO1B downregulated expression of SNAI2, thereby inhibiting the SNAI2/cyclin D1 pathway. Furthermore, a selective inhibitor of cyclin D1 activation reversed siMYO1B cells overexpressing SNAI2‐elicited aggressive phenotypes of ESCC cells. MYO1B positively correlated with SNAI2 and cyclin D1 in ESCC samples, and higher SNAI2 expression was also associated with poor prognosis in ESCC patients. Our finding demonstrated that MYO1B activates the SNAI2/cyclin D1 pathway to drive tumorigenesis and cisplatin cytotoxicity in ESCC, indicating that MYO1B is a potential therapeutic target for patients with ESCC.

Targeting MYO1B impairs tumorigenesis via inhibiting the SNAI2/cyclin D1 signaling in esophageal squamous cell carcinoma

Myosin-related proteins play an important role in cancer progression. However, the clinical significance, biological functions, and mechanisms of myosin 1B (MYO1B), in esophageal squamous cell carcinoma (ESCC) remain unclear. The clinical relevance of MYO1B, SNAI2, and cyclin D1 in ESCC was determined by immunohistochemistry, Oncomine, and GEPIA databases. The oncogenic roles of MYO1B were determined by CCK8, colony formation assays, wound healing, and Transwell assay. MYO1B, SNAI2, and cyclin D1 at mRNA and protein levels in ESCC cells were detected by qPCR and Western blot analysis. In our study, we found that MYO1B expression was increased in ESCC tissue samples and correlated with tumor stage, TNM stage, and poor outcomes. Functional assays indicated that depletion of MYO1B impaired oncogenesis, and enhanced chemosensitivity in ESCC. Bioinformatic analysis and mechanistic studies illustrated that SNAI2 was a key downstream effector of MYO1B. Suppression of MYO1B downregulated expression of SNAI2, thereby inhibiting the SNAI2/cyclin D1 pathway. Furthermore, a selective inhibitor of cyclin D1 activation reversed siMYO1B cells overexpressing SNAI2-elicited aggressive phenotypes of ESCC cells. MYO1B positively correlated with SNAI2 and cyclin D1 in ESCC samples, and higher SNAI2 expression was also associated with poor prognosis in ESCC patients. Our finding demonstrated that MYO1B activates the SNAI2/cyclin D1 pathway to drive tumorigenesis and cisplatin cytotoxicity in ESCC, indicating that MYO1B is a potential therapeutic target for patients with ESCC.

Upregulation of Centromere Proteins as Potential Biomarkers for Esophageal Squamous Cell Carcinoma Diagnosis and Prognosis

Esophageal squamous cell carcinoma (ESCC) has a high incidence and low survival rate, necessitating the identification of novel specific biomarkers. Centromere-associated proteins (CENPs) have been reported to be biomarkers for many cancers, but their roles in ESCC have seldom been investigated. Here, the potential clinical roles of CENPs in ESCC patients were demonstrated by a systematic bioinformatics analysis. Most CENP-encoding genes were differentially expressed between tumor and normal tissues. CENPA, CENPE, CENPF, CENPI, CENPM, CENPN, CENPQ, and CENPR were upregulated universally in the three datasets. Survival analysis demonstrated that high expression of CENPE and CENPQ was positively correlated with the outcomes of ESCC patients. The CENPE-based forecast model was more accurate than the tumor-node-metastasis (TNM) staging-based model, which was classified as stage I/II vs. III/IV. More importantly, the forecast model based on the commonly upregulated CENPs exhibited a much higher area under the curve (AUC) value (0.855) than the currently known TTL, ZNF750, AC016205.1, and BOLA3 biomarkers. The nomogram model integrating the CENPs, TNM stage, and sex was highly accurate in the prognosis of ESCC patients ( $\text{AUC}=0.906$ ). Besides, gene set enrichment analysis (GSEA) demonstrated that CENPE expression is significantly correlated with cell cycle, G2/M checkpoint, mitotic spindle, p53, etc. Finally, in validation experiments, we also found that CENPE and CENPQ were significantly overexpressed in esophageal cancer cells. Taken together, these results clearly suggest that CENPs are clinically promising diagnostic and prognostic biomarkers for ESCC patients.

Robot-assisted and conventional minimally invasive esophagectomy are associated with better postoperative results compared to hybrid and open transthoracic esophagectomy

BACKGROUND

Currently 4 surgical techniques are performed for transthoracic esophagectomy (open esophagectomy (OE), hybrid esophagectomy (HE), conventional minimally invasive esophagectomy (MIE) and robot assisted minimally invasive esophagectomy (RAMIE). Aim of this study was to compare these 4 different esophagectomy approaches regarding postoperative complications and short term oncologic outcomes.

METHODS

Between 2008 and 2019, consecutive patients who underwent esophagectomy with gastric conduit reconstruction were included in this single center study. The primary outcome of this study was the incidence of postoperative complications.

RESULTS

Overall 422 patients (OE (n = 107), HE (n = 101), MIE (n = 91) and RAMIE (n = 123)) were evaluated. Uncomplicated postoperative course was observed in 27% (OE), 34% (HE), 53% (MIE), and 63% (RAMIE) of patients (p < 0.001). Pulmonary complications were observed in 57% (OE), 44% (HE), 28% (MIE), and 21% (RAMIE) of patients (p < 0.001). Cardiac complications were present in 25% (OE), 23% (HE), 9% (MIE), and 11% (RAMIE) of patients (p < 0.001). MIE and RAMIE were associated with fewer wound infections (p < 0.001). Median hospital stay after MIE (13 days) and RAMIE (12 days) was shorter compared to OE (20 days) and HE (17 days) (p < 0.001). A median number of 21 (OE), 23 (HE), 23 (MIE), and 31 (RAMIE) lymph nodes was harvested (p < 0.001).

CONCLUSION

Total minimally invasive esophagectomy (MIE, RAMIE) was associated with a lower overall, pulmonary, cardiac and wound complication rate as well as a shorter hospital stay compared to open or hybrid approach (OE, HE). RAMIE resulted in higher lymph node harvest than MIE.

Unresected small lymph node assessment predicts prognosis for patients with pT3N0M0 thoracic esophageal squamous cell carcinoma

Background

The role of unresected small lymph nodes (LNs) which may contain metastases for thoracic esophageal squamous cell carcinoma (TESCC) has not been addressed. The aim of the study was to investigate the role of unresected small LNs assessment using computed tomography (CT) in prognostic estimates of pT3N0M0 TESCC patients.

Methods

Between January 2009 and December 2017, 294 patients who underwent esophagectomy with R0 resection at Sichuan Cancer Hospital were retrospectively examined, and the last follow-up time was July 2018. Patients were classified into CT-suspect and CT-negative groups according to the shortest diameter and the shape (axial ratio) of the unresected small LNs on preoperative CT. The Kaplan–Meier method was used to compare survival differences in prognostic factors. Univariate and multivariate analyses were performed to identify prognostic factors for survival and recurrence.

Results

Eighty-four patients (28.6%) were classified as CT-suspect group according to the diagnostic criteria; survival analysis suggested that CT-suspect group of patients had a relatively poorer prognosis (P<0.05). Cox regression analysis indicated that unresected small LNs status, tumor grade, and postoperative adjuvant therapy were independent prognostic factors for patients with pT3N0M0 TESCC (P<0.05). Further analysis shown the rates of total recurrence (TR) and locoregional recurrence (LR) in the CT-suspect group were significantly higher than that in the CT-negative group (TR, P<0.001; LR, P<0.001). Among the LRs, the rate of supraclavicular lymph node recurrence in the CT-suspect group was significantly higher than that in the CT-negative group (P<0.001).

Conclusions

Unresected small lymph node assessment is critically important and predict prognosis for pT3N0M0 TESCC patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12957-021-02412-1.

High-quality nursing can reduce the incidence of adverse events in esophageal cancer patients after operation in the intensive care unit and improve postoperative rehabilitation

OBJECTIVE

This research aimed at observing the effect of applying high-quality nursing in the intensive care unit (ICU) to esophageal cancer (EC) patients after radical resection.

METHODS

From January 2015 to February 2020, 155 EC patients who underwent radical resection were divided into the control group (CG; n=77) and the observation group (OG; n=78). The CG was given conventional nursing intervention, and the OG was given high-quality nursing intervention. The scores of the visual analogue scale (VAS), clinical related indexes, complications, self-rating anxiety scale (SAS), self-rating depression scale (SDS), nursing satisfaction and SF-36 of patients were compared.

RESULTS

After nursing, compared with the CG, the duration of the indwelling drainage tube, time to getting out of bed, recovery of bowel sounds and hospitalization in the OG was shorter, and the incidence of postoperative complications was less. In addition, after nursing, the VAS, SAS and SDS scores of patients in both groups decreased, and these indexes in the OG decreased more than those in the CG. Patients were investigated upon discharge, and it was revealed that the nursing satisfaction of patients in the OG was obviously better than that in the CG. Three months after the operation, the scores of general health (GH), mental health (MH), role-physical (RP), role emotional (RE) and vitality (VT) of patients in the OG were higher than those in the CG.

CONCLUSION

High-quality nursing exerts a better effect in the ICU for patients who underwent EC surgery; it can reduce pain and adverse events and promote rehabilitation.

Robot-assisted minimally invasive thoraco-laparoscopic esophagectomy versus minimally invasive esophagectomy for resectable esophageal adenocarcinoma, a randomized controlled trial (ROBOT-2 trial)

BACKGROUND

For patients with esophageal adenocarcinoma or cancer of the gastroesophageal junction, radical esophagectomy with 2-field lymphadenectomy is the cornerstone of the multimodality treatment with curative intent. Both conventional minimally invasive esophagectomy (MIE) and robot assisted minimally invasive esophagectomy (RAMIE) were shown to be superior compared to open transthoracic esophagectomy considering postoperative complications. However, no randomized comparison exists between MIE and RAMIE in the Western World for patients with esophageal adenocarcinoma.

METHODS

This is an investigator-initiated and investigator-driven multicenter randomized controlled parallel-group superiority trial. All adult patients (age ≥ 18 and ≤ 90 years) with histologically proven, surgically resectable (cT1-4a, N0-3, M0) esophageal adenocarcinoma of the intrathoracic esophagus or adenocarcinoma of the gastroesophageal junction and with European Clinical Oncology Group performance status 0, 1 or 2 will be assessed for eligibility and included after obtaining informed consent. Patients (n = 218) with resectable esophageal adenocarcinoma of the intrathoracic esophagus or adenocarcinoma of the gastroesophageal junction are randomized to either RAMIE (n = 109) or MIE (n = 109). The primary outcome of this study is the total number of resected abdominal and mediastinal lymph nodes specified per lymph node station.

CONCLUSION

This is the first randomized controlled trial designed to compare RAMIE to MIE as surgical treatment for resectable esophageal adenocarcinoma or adenocarcinoma of the gastroesophageal junction in the Western World. The hypothesis of the proposed study is that RAMIE will result in a higher abdominal and mediastinal lymph node yield specified per station compared to conventional MIE. Short-term results and the primary endpoint (total number of resected abdominal and mediastinal lymph nodes per lymph node station) will be analyzed and published after discharge of the last randomized patient within this trial.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04306458 . Registered 13th March 2020, https://clinicaltrials.gov/ct2/show/NCT04306458; Date of first enrolment 18.01.2021; Target sample size 218; Recruitment status: Recruiting; Protocol version 2; Issue date 10.03.2020; Rev. 02.02.2021; Authors ET, PCvdS, PPG.

Variants and Pitfalls in PET/CT Imaging of Gastrointestinal Cancers

In the past two decades, PET/CT has become an essential modality in oncology increasingly used in the management of gastrointestinal (GI) cancers. Most PET/CT tracers used in clinical practice show some degree of GI uptake. This uptake is quite variable and knowledge of common patterns of biodistribution of various radiotracers is helpful in clinical practice. 18F-Fluoro-Deoxy-Glucose (FDG) is the most commonly used radiotracer and has quite a variable uptake within the bowel. 68Ga-Prostate specific membrane antigen (PSMA) shows intense uptake within the proximal small bowel loops. 11C-methyl-L-methionine (MET) shows high accumulation within the bowels, which makes it difficult to assess bowel or pelvic diseases. One must also be aware of technical artifacts causing difficulties in interpretations, such as high attenuation oral contrast material within the bowel lumen or misregistration artifact due to patient movements. It is imperative to know the common variants and benign diseases that can mimic malignant pathologies. Intense FDG uptake within the esophagus and stomach may be a normal variant or may be associated with benign conditions such as esophagitis, reflux disease, or gastritis. Metformin can cause diffuse intense uptake throughout the bowel loops. Intense physiologic uptake can also be seen within the anal canal. Segmental bowel uptake can be seen in inflammatory bowel disease, radiation, or medication induced enteritis/colitis or infection. Diagnosis of appendicitis or diverticular disease requires CT correlation, as normal appendix or diverticulum can show intense uptake. Certain malignant pathologies are known to have only low FDG uptake, such as early-stage esophageal adenocarcinoma, mucinous tumors, indolent lymphomas, and multicystic mesotheliomas. Response assessment, particularly in the neoadjuvant setting, can be limited by post-treatment inflammatory changes. Post-operative complications such as abscess or fistula formation can also show intense uptake and may obscure underlying malignant pathology. In the absence of clinical suspicion or rising tumor marker, the role of FDG PET/CT in routine surveillance of patients with GI malignancy is not clear.

Machine Learning and Radiomics Applications in Esophageal Cancers Using Non-Invasive Imaging Methods-A Critical Review of Literature

Esophageal cancer (EC) is of public health significance as one of the leading causes of cancer death worldwide. Accurate staging, treatment planning and prognostication in EC patients are of vital importance. Recent advances in machine learning (ML) techniques demonstrate their potential to provide novel quantitative imaging markers in medical imaging. Radiomics approaches that could quantify medical images into high-dimensional data have been shown to improve the imaging-based classification system in characterizing the heterogeneity of primary tumors and lymph nodes in EC patients. In this review, we aim to provide a comprehensive summary of the evidence of the most recent developments in ML application in imaging pertinent to EC patient care. According to the published results, ML models evaluating treatment response and lymph node metastasis achieve reliable predictions, ranging from acceptable to outstanding in their validation groups. Patients stratified by ML models in different risk groups have a significant or borderline significant difference in survival outcomes. Prospective large multi-center studies are suggested to improve the generalizability of ML techniques with standardized imaging protocols and harmonization between different centers.

Prognostic Nomogram for Postoperative Patients With Gastroesophageal Junction Cancer of No Distant Metastasis

Background

Gastroesophageal junction (GEJ) was one of the most common malignant tumors. However, the value of clinicopathological features in predicting the prognosis of postoperative patients with GEJ cancer and without distant metastasis was still unclear.

Methods

The 3425 GEJ patients diagnosed and underwent surgical resection without distant metastasis in the Surveillance, Epidemiology and End Results (SEER) database from 2010 to 2015 were enrolled,and they were randomly divided into training and validation cohorts with 7:3 ratio. Univariate and multivariate Cox regression analysis were used to determine the predictive factors that constituted the nomogram. The predictive accuracy and discriminability of Nomogram were determined by the area under the curve (AUC), C index, and calibration curve, and the influence of various factors on prognosis was explored.

Results

2,400 patients were designed as training cohort and 1025 patients were designed as validation cohort. The percentages of the distribution of demographic and clinicopathological characteristics in the training and validation cohorts tended to be the same. In the training cohort, multivariate Cox regression analysis revealed that the age, tumor grade, T stage and N stage were independent prognostic risk factors for patients with GEJ cancer without distant metastasis. The C index of nomogram model was 0.667. The AUC of the receiver operating characteristic (ROC) analysis for 3- and 5-year overall survival (OS) were 0.704 and 0.71, respectively. The calibration curve of 3- and 5-year OS after operation showed that there was the best consistency between nomogram prediction and actual observation. In the validation cohort, the C index of nomogram model, the AUC of 3- and 5-year OS, and the calibration curve were similar to the training cohort.

Conclusions

Nomogram could evaluate the prognosis of patients with GEJ cancer who underwent surgical resection without distant metastasis.

Lung Metastases in Newly Diagnosed Esophageal Cancer: A Population-Based Study

Background

Esophageal cancer is one of the most common cancer types, with its most common distant metastatic site being the lung. Currently, population-based data regarding the proportion and prognosis of patients with esophageal cancer with lung metastases (ECLM) at the time of diagnosis is insufficient. Therefore, we aimed to determine the proportion of patients with ECLM at diagnosis, as well as to investigate the prognostic parameters of ECLM.

Methods

This population-based observational study obtained data from the Surveillance, Epidemiology, and End Results (SEER) database registered between 2010 and 2016. Multivariable logistic regression was performed to identify predictors of the presence of ECLM at diagnosis. Multivariable Cox regression and competing risk analysis were used to assess prognostic factors in patients with ECLM. Median survival was estimated using Kaplan–Meier curves.

Results

Of 10,965 patients diagnosed with esophageal cancer between 2010 and 2016, 713 (6.50%) presented with initial lung metastasis at diagnosis. Lung metastasis represented 27.15% of all cases with metastatic disease to any distant site. Considering all patients with esophageal cancer, multivariable logistic regression indicated that pathology grade, pathology type, T staging, N staging, race, and number of extrapulmonary metastatic sites were predictive factors for the occurrence of lung metastases at diagnosis. The median survival time of patients with ECLM was 4.0 months. Patients receiving chemotherapy or chemoradiotherapy had the longest median overall survival, 7.0 months. Multivariable Cox regression indicated that age, histology type, T2 staging, number of extrapulmonary metastatic sites, and treatment (chemotherapy, radiotherapy, or chemoradiotherapy) were independent predictors for overall survival (OS). Multivariable competing risk analysis determined that age, number of extrapulmonary metastatic sites, and treatment were independent predictors for esophageal cancer-specific survival (CSS).

Conclusion

The findings of this study may provide important information for the early diagnosis of ECLM, as well as aid physicians in choosing appropriate treatment regimens for these patients.

Esophageal Cancer: Tumor-Node-Metastasis Staging

Esophageal cancer is an uncommon malignancy that ranks sixth in terms of mortality worldwide. Squamous cell carcinoma is the predominant histologic subtype worldwide whereas adenocarcinoma represents the majority of cases in North America, Australia, and Europe. Esophageal cancer is staged using the American Joint Committee on Cancer and the International Union for Cancer Control TNM system and has separate classifications for the clinical, pathologic, and postneoadjuvant pathologic stage groups. The determination of clinical TNM is based on complementary imaging modalities, including esophagogastroduodenoscopy/endoscopic ultrasound; endoscopic ultrasound-fine-needle aspiration; computed tomography of the chest, abdomen, and pelvis; and fluorodeoxyglucose PET/computed tomography.

A Comparison of the Current N2 Classification and a Modified N2 Categorization in TNM Staging of Esophageal Cancer Patients

Objective

To compare the effectiveness of the current N classification and a modified N2 categorization in TNM staging of esophageal cancer (EC) patients.

Methodology

A total of 2753 EC patients were enrolled in the study: 2283 EC patients from the Surveillance, Epidemiology, and End Results (SEER) database and 470 separate Chinese patients were used to verify the results of the SEER database. X-tile software was employed to determine the optimal cutoff points of the number of metastatic lymph nodes (LNs) in the N2 category. Univariate and multivariate Cox regression analyses were performed to identify the survival risk factors.

Result

Patients in the N2 category were divided into two groups based on the number of metastatic LNs. Patients with three and four metastatic LNs were categorized as N2a, while those with five and six metastatic LNs were categorized as N2b. The 3-year overall survival (OS) rate in the SEER database was 71.5%, 42.3%, 23.6%, 17.2%, and 10.7% for patients with N0, N1, N2a, N2b, and N3, respectively (P<0.001). Furthermore, a separate Chinese cohort was enrolled to validate the revised N2 category. Additionally, the 3-year OS rate was 71.5%, 42.3%, 23.6%, 17.2%, and 10.7% for patients with N0, N1, N2a, N2b, and N3, respectively (P<0.001).

Conclusion

The current N2 category should be further divided into two groups (N2a and N2b) to provide more accurate prognosis information that could further help in developing personalized therapeutic strategies.

Robot-Assisted Minimally Invasive Esophagectomy with Intrathoracic Anastomosis (Ivor Lewis): Promising Results in 100 Consecutive Patients (the European Experience)

BACKGROUND

Robot-assisted minimally invasive esophagectomy (RAMIE) with intrathoracic anastomosis is gaining popularity as a treatment for esophageal cancer. The aim of this study was to describe postoperative complications and short-term oncologic outcomes for RAMIE procedures using the da Vinci Xi robotic system 4-arm technique.

METHODS

Data of 100 consecutive patients with esophageal or gastro-esophageal junction carcinoma undergoing modified Ivor Lewis esophagectomy were prospectively collected. All operations were performed by the same surgeon using an identical intrathoracic anastomotic reconstruction technique with the same perioperative management. Intraoperative and postoperative complications were graded according to Esophagectomy Complications Consensus Group (ECCG) definitions.

RESULTS

Mean duration was 416 min (±80); 70% of patients had an uncomplicated postoperative recovery. Pulmonary complications were observed in 17% of patients. Anastomotic leakage was observed in 8% of patients. Median ICU stay was 1 day and median overall postoperative hospital stay was 11 days. The 30-day mortality was 1%; 90-day mortality was 3%. A R0 resection was reached in 92% of patients with a median number of 29 dissected lymph nodes. All patients had at least 7 months of follow-up with a median follow-up of 17 months. Median overall survival was not reached yet.

CONCLUSION

RAMIE with intrathoracic anastomosis (Ivor Lewis) for esophageal or gastro-esophageal junction cancer was technically feasible and safe. Postoperative complications and short-term oncologic results were comparable to the highest international standards nowadays.

The Circular Stapled Esophagogastric Anastomosis in Esophagectomy: No Differences in Anastomotic Insufficiency and Stricture Rates Between the 25 mm and 28 mm Circular Stapler

BACKGROUND

For patients undergoing an Ivor Lewis esophagectomy with a circular stapled anastomosis, the optimal diameter of the used circular stapler to restore continuity is unknown. The aim of this study was to compare the 25 mm stapled versus the 28 mm stapled esophagogastric anastomosis after Ivor Lewis esophagectomy, focusing on anastomotic insufficiency and postoperative anastomotic strictures.

METHODS

Between February 2008 and June 2019, 349 consecutive patients underwent Ivor Lewis esophagectomy with gastric conduit reconstruction and circular stapled anastomosis. Patient characteristics and postoperative results, such as anastomotic insufficiency rates, postoperative anastomotic stricture rates, time to anastomotic stricture rate, and the number of dilatations, were recorded in a prospective database and analyzed.

RESULTS

In 222 patients (64%), the 25 mm circular stapler was used and in 127 patients (36%) the 28 mm circular stapler was used. There were no differences in baseline characteristics. Anastomotic insufficiency rates were comparable between the 25 mm (12%) and the 28 mm groups (11%) (p = 0.751). There were no differences between postoperative anastomotic strictures in the 25 mm (14%) and the 28 mm groups (14%) (p = 0.863). Within patients with postoperative anastomotic strictures, a median number of 2 dilatations were observed in each group (p = 0.573) without differences in the time to first diagnosis (p = 0.412).

CONCLUSION

There were no differences in anastomotic insufficiency and postoperative anastomotic stricture rates between the 25 mm and the 28 mm circular stapled esophagogastric anastomosis after Ivor Lewis esophagectomy. Both the 25 mm and 28 mm stapler can be safely used to create a circular stapled esophagogastric anastomosis to restore continuity after esophagectomy.

Clinical Utility of ypTNM Stage Grouping in the 8th Edition of the American Joint Committee on Cancer TNM Staging System for Esophageal Squamous Cell Carcinoma

BACKGROUND

The 8th edition of the American Joint Committee on Cancer (AJCC) TNM staging system provided a specific 'ypTNM' stage grouping for patients with esophageal cancer.

OBJECTIVE

This study aimed to evaluate the clinical utility of the AJCC 8th edition ypTNM stage grouping for patients with esophageal squamous cell carcinoma (ESCC).

METHODS

We enrolled 152 patients with ESCC who underwent surgery after neoadjuvant cisplatin plus 5-fluorouracil (CF) therapy between June 2005 and December 2011. ypStage was evaluated according to the AJCC 7th and 8th editions. Predictive performance for disease-specific survival (DSS) and overall survival (OS) was compared between both editions. The prognostic significance of ypTNM stage grouping was evaluated using univariate and multivariate analyses.

RESULTS

Revision of the AJCC 7th edition to the 8th edition was associated with a change in ypStage in 96 patients (63.2%). The AJCC 8th edition revealed a better predictive performance than the 7th edition in terms of DSS (Akaike's information criterion [AIC] 499 vs. 513; Bayesian information criterion [BIC] 505 versus 519; concordance index [C-index] 0.725 versus 0.679) and OS (AIC 662 vs. 674; BIC 669 vs. 681; C-index 0.662 vs. 0.622). On univariate and multivariate analyses, ypStage in the 8th edition was an independent prognostic factor for both DSS and OS.

CONCLUSIONS

ypTNM stage grouping in the AJCC 8th edition provided a better predictive performance for DSS and OS than that in the 7th edition. ypStage in the 8th edition was the most reliable prognostic factor for ESCC patients who underwent surgery after neoadjuvant CF therapy.

Role of Imaging in Esophageal Cancer Management in 2020: Update for Radiologists

OBJECTIVE. The purpose of this article is to discuss the role of imaging in the management of esophageal cancer. CONCLUSION. A multimodality-based approach to imaging is essential in clinical practice to achieve the best possible outcome for patients with esophageal cancer. Radiologists must be aware of the strengths and limitations of different imaging modalities in various clinical settings. The role of a radiologist is to combine information from anatomic and functional imaging, assess metastatic disease and changes in the primary tumor during treatment, and identify anatomic complications after treatment.

DNA methylation data-based prognosis-subtype distinctions in patients with esophageal carcinoma by bioinformatic studies

Esophageal carcinoma (ESCA) is caused by the accumulation of genetic and epigenetic alterations in esophageal mucosa. Of note, the earliest and the most frequent molecular behavior in the complicated pathogenesis of ESCA is DNA methylation. In the present study, we downloaded data of 178 samples from The Cancer Genome Atlas (TCGA) database to explore specific DNA methylation sites that affect prognosis in ESCA patients. Consequently, we identified 1,098 CpGs that were significantly associated with patient prognosis. Hence, these CpGs were used for consensus clustering of the 178 samples into seven clusters. Specifically, the samples in each group were different in terms of age, gender, tumor stage, histological type, metastatic status, and patient prognosis. We further analyzed 1,224 genes in the corresponding promoter regions of the 1,098 methylation sites, and enriched these genes in biological pathways with close correlation to cellular metabolism, enzymatic synthesis, and mitochondrial autophagy. In addition, nine representative specific methylation sites were screened using the weighted gene coexpression network analysis. Finally, a prognostic prediction model for ESCA patients was built in both training and validation cohorts. In summary, our study revealed that classification based on specific DNA methylation sites could reflect ESCA heterogeneity and contribute to the improvement of individualized treatment and precise prognostic prediction.

Upregulated expression of MMP family genes is associated with poor survival in patients with esophageal squamous cell carcinoma via regulation of proliferation and epithelial‑mesenchymal transition

Matrix metalloproteinases (MMPs) are involved in the cleavage of several components of the extracellular matrix and serve important roles in tumor growth, metastasis and invasion. Previous studies have focused on the expression of one or several MMPs in esophageal squamous cell carcinoma (ESCC); however, in the present study, the transcriptomics of all 23 MMPs were systematically investigated with a focus on the prognostic value of the combination of MMPs. In this study, 8 overlapping differentially expressed genes of the MMP family were identified based on data obtained from Gene Expression Omnibus and The Cancer Genome Atlas. The prognostic value of these MMPs were investigated; the receiver operating characteristic curves, survival curves and nomograms showed that the combination of 6 selected MMPs possessed a good predictive ability, which was more accurate than the prediction model based on Tumor‑Node‑Metastasis stage. Gene set enrichment analysis and gene co‑expression analysis were performed to investigate the potential mechanism of action of MMPs in ESCC. The MMP family was associated with several signaling pathways, such as epithelial‑mesenchymal transition (EMT), Notch, TGF‑β, mTOR and P53. Cell Counting Kit‑8, colony formation, wound healing assays and western blotting were used to determine the effect of BB‑94, a pan‑MMP inhibitor, on proliferation and migration of ESCC cells. BB‑94 treatment decreased ESCC cell growth, migration and EMT. Therefore, MMPs may serve both as diagnostic and prognostic biomarkers of ESCC, and MMP inhibition may be a promising preventive and therapeutic strategy for patients with ESCC.

S-1 plus apatinib as first-line palliative treatment for stage IVB gastroesophageal junction adenocarcinoma: A case report and review of the literature

RATIONALE

Apatinib has been proven to significantly prolong the survival of the patients with advanced chemotherapy-refractory gastric cancer. To date, studies on apatinib plus S-1 as first-line palliative therapy for metastatic gastroesophageal junction (GEJ) cancer are rare.

PATIENT CONCERNS

A 61-year-old female patient was admitted with dysphagia, significant loss of body weight, and poor performance status.

DIAGNOSES

Endoscopic biopsy revealed the diagnosis of poorly-differentiated GEJ adenocarcinoma, and the patient was clinically staged as T3NxM1G3 (IVB).

INTERVENTIONS

She had received 4 cycles of palliative therapy using oral apatinib (425 mg daily) plus S-1 (40 mg twice daily for 4 weeks, with a 2-week drug-free interval), followed by maintenance low-dose apatinib (250 mg daily) plus S-1 at the same dosage thereafter.

OUTCOMES

Her progression-free survival was nearly 5 months, and the overall survival was >11 months up to now. The adverse events were tolerable.

LESSONS

Apatinib plus S-1 might be an alternative option for late-stage GEJ cancer. However, high-quality trials are warranted before the recommendation of this therapeutic regimen.

Application of Pathological Staging in Esophageal Squamous Cell Carcinoma

Pathological staging is the most important factor that determines the prognosis and management of patients with esophageal squamous cell carcinoma. The method for the pathological staging in esophageal squamous cell carcinoma involves assessment of standard parameters-extent of tumor (T), lymph node status (N), presence of distant metastasis (M), as well as grade (G) and anatomical location of the carcinoma. In addition, other relevant factors, such as use of neoadjuvant therapy, could affect the pathological staging of esophageal squamous cell carcinoma.

S-1 plus apatinib followed by salvage esophagectomy for irinotecan-refractory small cell carcinoma of the esophagus: A case report and review of the literature

RATIONALE

Small cell carcinoma of the esophagus (SCCE) is an uncommon but lethal disease characterized by dismal prognosis. Only 10% of advanced SCCE patients survive longer than 1 year. Resection is a choice for limited-stage cases, whereas the optimal treatment regimen for primary SCCE is yet to be elucidated. To the best of our knowledge, the efficacy of S-1 plus apatinib for irinotecan-refractory SCCE has not been reported before.

PATIENT CONCERNS

A 61-year old, previously healthy male was admitted for dysphagia and fatigue. Endoscopic biopsy revealed a tumor in the middle third of the esophagus. Further exams including abdomen computed tomography excluded distant metastasis.

DIAGNOSES

Primary SCCE (pT1bN1M0, IIB) was established after salvage operation.

INTERVENTIONS

The tumor was enlarged after 1 cycle of first-line chemotherapy using irinotecan plus cisplatin, which indicated drug resistance. Second-line oral apatinib (425 mg daily) plus S-1 (60 mg, twice daily for 4 weeks with a 2-week drug-free interval) for a month showed efficacy, as shown by decreased serum neuron-specific enolase and stable of the esophageal lesion. Thereafter, salvage minimally invasive Ivor-Lewis esophagectomy and 2-field lymph node dissection was performed, followed by oral apatinib plus S-1 at the prior dosage for 6 months. In addition, maintenance therapy using low-dose apatinib (250 mg daily) plus S-1 (40 mg, twice daily for 4 weeks with a 2-week interval) were administered for another 6 months. Then the patient was followed up irregularly at the outpatient clinic.

OUTCOMES

The adverse events including hand-foot syndrome, hypertension, vomiting, leukopenia, impaired hepatic function, and fatigue were mainly tolerable. Forty months after the operation, he was readmitted for back pain and disseminated bone metastases appeared in magnetic resonance images. His progression-free survival could not be obtained precisely, and his overall survival was longer than 40 months up to September 2019.

LESSONS

S-1 plus apatinib followed by a timely esophagectomy with curative intent might be an alternative option for chemotherapy-refractory SCCE in selected patients. Better evidence is warranted.

A Nomogram to Predict Distant Metastasis for Patients with Esophageal Cancer

BACKGROUND

Distant metastasis of esophageal cancer (EC) is prone to be neglected, so it is necessary to screen out the high-risk population for more sensitive and rigorous pretreatment imaging evaluations.

OBJECTIVE

The aim of this study was to evaluate the risk factors for distant metastasis in patients with EC and to construct a clinical nomogram.

METHODS

Eligible patients diagnosed from 2010 to 2015 were selected from the Surveillance, Epidemiology and End Results (SEER) database. Multivariable logistic regression analysis was applied to establish a prediction nomogram. Discrimination, calibration, clinical usefulness, and reproducibility were assessed by C-index, receiver-operating characteristic curve/the area under the curve (AUC), calibration plot, decision curve analysis (DCA), and bootstrapping validation. DCA was also used to compare the novel model with the conventional predictive methods.

RESULTS

A total of 9,026 patients were included for analysis. The nomogram incorporated the predictors: age, sex, race, grade, T stage, N stage, histology, tumor location, and pathological grading. The prediction model presented good discrimination with an AUC of 0.738 and a concordance index of 0.747 (95% confidence interval: 0.734-0.760), which was confirmed to be 0.745 through bootstrapping validation. Calibration plot and DCA showed satisfactory calibration and good net benefit, respectively. Comparing with the conventional prediction methods, the nomogram yielded superior net benefit.

CONCLUSIONS

We constructed and validated a novel nomogram to help clinicians access the risk of distant metastasis in patients with EC.

The clinical significance of collagen family gene expression in esophageal squamous cell carcinoma

BACKGROUND

Esophageal squamous cell carcinoma (ESCC) is a subtype of esophageal cancer with high incidence and mortality. Due to the poor 5-year survival rates of patients with ESCC, exploring novel diagnostic markers for early ESCC is emergent. Collagen, the abundant constituent of extracellular matrix, plays a critical role in tumor growth and epithelial-mesenchymal transition. However, the clinical significance of collagen genes in ESCC has been rarely studied. In this work, we systematically analyzed the gene expression of whole collagen family in ESCC, aiming to search for ideal biomarkers.

METHODS

Clinical data and gene expression profiles of ESCC patients were collected from The Cancer Genome Atlas and the gene expression omnibus databases. Bioinformatics methods, including differential expression analysis, survival analysis, gene sets enrichment analysis (GSEA) and co-expression network analysis, were performed to investigate the correlation between the expression patterns of 44 collagen family genes and the development of ESCC.

RESULTS

A total of 22 genes of collagen family were identified as differentially expressed genes in both the two datasets. Among them, COL1A1, COL10A1 and COL11A1 were particularly up-regulated in ESCC tissues compared to normal controls, while COL4A4, COL6A5 and COL14A1 were notably down-regulated. Besides, patients with low COL6A5 expression or high COL18A1 expression showed poor survival. In addition, a 7-gene prediction model was established based on collagen gene expression to predict patient survival, which had better predictive accuracy than the tumor-node-metastasis staging based model. Finally, GSEA results suggested that collagen genes might be tightly associated with PI3K/Akt/mTOR pathway, p53 pathway, apoptosis, cell cycle, etc.

CONCLUSION

Several collagen genes could be potential diagnostic and prognostic biomarkers for ESCC. Moreover, a novel 7-gene prediction model is probably useful for predicting survival outcomes of ESCC patients. These findings may facilitate early detection of ESCC and help improves prognosis of the patients.

Prognostic significance of tumor length in patients with esophageal cancer undergoing radical resection: A PRISMA-compliant meta-analysis

BACKGROUND

The prognostic significance of tumor length in esophageal cancer (EC) remains controversial. Hence, we conducted a meta-analysis to quantitatively assess the prognostic significance of tumor length in EC patients.

METHOD

A systematic literature search was conducted in the PubMed, EMBASE, and Web of Science. Hazard ratios (HRs) with their 95% confidence intervals (CIs) were used to assess the prognostic significance of tumor length for overall survival (OS), and disease-free survival (DFS) in EC patients.

RESULTS

A total of 21 articles with 22 eligible studies involving 9271 patients were included in this meta-analysis. The results of our pooling analyses demonstrated that tumor length was an independent prognostic parameter for OS (HR = 1.38, 95% CI: 1.24-1.54, P < .01) and DFS (HR = 1.29, 95% CI: 1.11-1.50, P < .01) in EC patients. Moreover, our subgroup analysis and sensitivity analysis showed that the pooled HRs assessing the prognostic significance of tumor length did not significantly fluctuated, suggesting our pooling analyses were stable and reliable.

CONCLUSION

The results of this meta-analysis demonstrated that long tumor is an independent risk of poor OS and DFS in EC patients, suggesting that it may provide additional prognostic information and thus contribute to a better stratification of EC patients, especially for those with no lymph node metastasis. However, more well-designed prospective clinical studies with large sample size are needed to strength our conclusion due to several limitations in this meta-analysis.

Upregulated long-non-coding RNA DLEU2 exon 9 expression was an independent indicator of unfavorable overall survival in patients with esophageal adenocarcinoma

In this study, we aimed to explore the expression profiles of some known functional lncRNAs in esophageal adenocarcinoma (EAD) and to screening the potential prognostic makers, using data from The Cancer Genome Atlas (TCGA)-esophageal carcinoma (ESCA). Results showed that DLEU2 is a high potential OS related marker among 73 functional lncRNAs. DLEU2 and its intronic miR-15a and miR-16-1 expression were significantly upregulated in EAD compared with adjacent normal tissues. However, miR-15a and miR-16-1 expression were only weakly correlated with DLEU2 expression. Univariate and multivariate analysis confirmed that DLEU2 expression, but not miR-15a or miR-16-1 expression is an independent prognostic marker in terms of OS (HR:1.688, 95%CI: 1.085-2.627, p = 0.020) in EAD patients. The exon 9 of DLEU2 is very strongly co-expressed with DLEU2 (Pearson's r = 0.96) and showed better predictive value than total DLEU2 expression in predicting the OS of EAD patients. Multivariate analysis confirmed its independent prognostic value (HR:1.970, 95%CI: 1.266-3.067, p = 0.003), after adjustment of histologic grade, pathological stages and the presence of residual tumor. By checking the methylation status of DLEU2 gene, we excluded the possibility of the influence of two CpG sites near the DLEU2 exon 9 locus on its expression. In addition, although copy number alterations (CNAs) were observed DLEU2 gene, heterozygous loss (-1), low-level copy gain (+1) and high-level amplification (+2) had no significant association with DLEU2 transcription. Based on these findings, we infer that DLEU2 exon 9 expression might serve as a valuable biomarker of unfavorable OS in EAD patients.

Clinical and translational advances in esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is among the most deadly forms of human malignancy characterized by late stage diagnosis, metastasis, therapy resistance and frequent recurrence. Clinical management of ESCC remains challenging and the disease presently lacks approved targeted therapeutics. However, emerging data from recent clinical and translational investigations hold great promise for future progress toward improving patient outcomes in this deadly disease. Here, we review current clinical perspectives in ESCC epidemiology, pathophysiology, and clinical care, highlighting recent advances with potential to impact ESCC prevention, diagnosis and management. We further provide an overview of recent translational investigations contributing to our understanding of the molecular mechanisms underlying ESCC development, progression and therapy response, including insights gained from genetic studies and various murine model systems. Finally, we discuss future perspectives in the clinical and translational realms, along with remaining hurdles that must be overcome to eradicate ESCC.