Risk factors for lymph node metastasis in T1 esophageal squamous cell carcinoma: A systematic review and meta-analysis

Outcomes of endoscopic submucosal dissection versus esophagectomy for poorly differentiated superficial esophageal squamous cell carcinoma: A 10-year cohort study

BACKGROUNDS

The efficacy of endoscopic submucosal dissection (ESD) to treat poorly differentiated superficial esophageal squamous cell carcinoma (SESCC) is unclear.

AIMS

To exploring the efficacy and prognosis of ESD treatment poorly differentiated SESCC compared with esophagectomy.

METHODS

A retrospective cohort study was conducted, the data of poorly differentiated SESCC patients who received ESD or esophagectomy from Jan 2011 to Jan 2021 were analyzed. Overall survival (OS), disease-specific survival (DSS), recurrence-free survival (RFS), and procedure-related variables were compared between ESD and esophagectomy group.

RESULTS

95 patients underwent ESD, while 86 underwent esophagectomy. No significant differences were found between the two groups in OS (P = 0.587), DSS (P = 0.172), and RFS (P = 0.111). Oncologic outcomes were also similar between the two groups in propensity score-matched analysis. For T1a ESCC, the rates of R0 resection, LVI or nodal metastasis and additional therapy were similar between ESD and esophagectomy groups. But for T1b ESCC, the rates of positive resection margin and additional therapy were significantly higher in ESD group than those in esophagectomy group.

CONCLUSIONS

ESD is a minimally invasive procedure that has comparable oncologic outcomes with esophagectomy for treatment poorly differentiated T1a ESCC. However, ESD is not suitable for poorly differentiated T1b ESCC, additional surgery or radiochemotherapy should be required.

Endoscopic Resection of Malignancies in the Upper GI Tract: A Clinical Algorithm

Background

Malignancies in the upper gastrointestinal tract are amenable to endoscopic resection at an early stage. Achieving a curative resection is the most stringent quality criterion, but post-resection risk assessment and aftercare are also part of a comprehensive quality program.

Summary

Various factors influence the achievement of curative resection. These include endoscopic assessment prior to resection using chromoendoscopy and HD technology. If resectability is possible, it is particularly important to delineate the lateral resection margins as precisely as possible before resection. Furthermore, the correct choice of resection technique depending on the lesion must be taken into account. Endoscopic submucosal dissection is the standard for esophageal squamous cell carcinoma and gastric carcinoma. In Western countries, it is becoming increasingly popular to treat Barrett's neoplasia over 2 cm in size and/or with suspected submucosal infiltration with en bloc resection instead of piece meal resection. After resection, risk assessment based on the histopathological resection determines the patient's individual risk of lymph node metastases, particularly in the case of high-risk lesions. This is categorized according to the current literature.

Key Messages

This review presents clinical algorithms for endoscopic resection of esophageal SCC, Barrett's neoplasia, and gastric neoplasia. The algorithms include the pre-resection assessment of the lesion and the resection margins, the adequate resection technique for the respective lesion, as well as the post-resection risk assessment with an evidence-based recommendation for follow-up therapy and surveillance.

Risk of lymph node metastasis in T1 esophageal adenocarcinoma: a meta-analysis

Patients with early (T1) esophageal adenocarcinoma (EAC) are increasingly having definitive local therapy endoscopically. Endoscopic resection is not able to pathologically stage or treat lymph node metastasis (LNM). Accurate identification of patients having nodal metastasis is critical to select endoscopic therapy over surgery. This study aimed to define the risk of LNM in T1 EAC. A meta-analysis of studies of patients who underwent surgery and lymphadenectomy with assessment of LNM was performed according to PRISMA. Main outcome was probability of LNM in T1a and T1b disease. Secondary outcomes were risk factors for LNM and rate of LNM in submucosal T1b (SM1, SM2, and SM3) disease. Registered with PROSPERO (CRD42022341794). Twenty cohort studies involving 2264 patients with T1 EAC met inclusion criteria: T1a (857 patients) with 36 (4.2%) node positive and T1b (1407 patients) with 327 (23.2%) node positive. Subgroup analysis of T1b lesions was available in 10 studies (405 patients). Node positivity for SM1, SM2, and SM3 was 16.3%, 16.2%, and 29.4%, respectively. T1 substage (odds ratio [OR] 7.72, 95% confidence interval [CI] 4.45-13.38, P < 0.01), tumor differentiation (OR 2.82, 95% CI 2.06-3.87, P < 0.01), and lymphovascular invasion (OR 13.65, 95% CI 6.06-30.73, P < 0.01) were associated with LNM. T1a disease demonstrated a 4.2% nodal metastasis rate and T1b disease a rate of 23.2%. Endoscopic therapy should be reserved for T1a disease and perhaps select T1b disease, which has a moderately high rate of nodal metastasis. There were inadequate data to stratify T1b SM disease into 'low-risk' and 'high-risk' based on tumor differentiation and lymphovascular invasion.

Management of early oesophageal cancer: An overview

The incidence of esophageal cancer, namely the adenocarcinoma subtype, continues to increase exponentially on an annual basis. The indolent nature of the disease renders a significant proportion inoperable at first presentation, however, with the increased utilisation of endoscopy, many early lesions are now being identified which are suitable for endotherapeutic approaches. This article details the options available for dealing with early esophageal cancer by endoscopic mean obviating the need for surgery thereby avoiding the potential morbidity and mortality of such intervention.

Exploration of lymph node recurrence patterns and delineation guidelines of radiation field in middle thoracic oesophageal carcinomas after radical surgery: a real-world study

BACKGROUND

Oesophageal squamous cell carcinoma is one of the most commonly diagnosed carcinomas in China, and postoperative radiotherapy plays an important role in improving the prognosis of patients. Carcinomas in different locations of the oesophagus could have different patterns of lymph node metastasis after surgery.

METHODS

In this multicentric retrospective study, we enrolled patients with middle thoracic oesophageal squamous cell carcinomas from 3 cancer centres, and none of the patients underwent radiotherapy before or after surgery. We analysed the lymph node recurrence rates in different stations to explore the postoperative lymphatic recurrence pattern.

RESULTS

From January 1st, 2014, to December 31st, 2019, 132 patients met the criteria, and were included in this study. The lymphatic recurrence rate was 62.1%. Pathological stage (P = 0.032) and lymphadenectomy method (P = 0.006) were significant predictive factors of lymph node recurrence. The recurrence rates in the supraclavicular, upper and lower paratracheal stations of lymph nodes were 32.6%, 28.8% and 16.7%, respectively, showing a high incidence. The recurrence rate of the subcarinal node station was 9.8%, while 8.3% (upper, middle and lower) thoracic para-oesophageal nodes had recurrences.

CONCLUSIONS

We recommend including the supraclavicular, upper and lower paratracheal stations of lymph nodes in the postoperative radiation field in middle thoracic oesophageal carcinomas. Subcarinal station is also potentially high-risk, while whether to include thoracic para-oesophageal or abdominal nodes needs careful consideration.

Potential value of CT-based comprehensive nomogram in predicting occult lymph node metastasis of esophageal squamous cell paralaryngeal nerves: a two-center study

PURPOSE

The aim of this study is to construct a combined model that integrates radiomics, clinical risk factors and machine learning algorithms to predict para-laryngeal lymph node metastasis in esophageal squamous cell carcinoma.

METHODS

A retrospective study included 361 patients with esophageal squamous cell carcinoma from 2 centers. Radiomics features were extracted from the computed tomography scans. Logistic regression, k nearest neighbor, multilayer perceptron, light Gradient Boosting Machine, support vector machine, random forest algorithms were used to construct radiomics models. The receiver operating characteristic curve and The Hosmer-Lemeshow test were employed to select the better-performing model. Clinical risk factors were identified through univariate logistic regression analysis and multivariate logistic regression analysis and utilized to develop a clinical model. A combined model was then created by merging radiomics and clinical risk factors. The performance of the models was evaluated using ROC curve analysis, and the clinical value of the models was assessed using decision curve analysis.

RESULTS

A total of 1024 radiomics features were extracted. Among the radiomics models, the KNN model demonstrated the optimal diagnostic capabilities and accuracy, with an area under the curve (AUC) of 0.84 in the training cohort and 0.62 in the internal test cohort. Furthermore, the combined model exhibited an AUC of 0.97 in the training cohort and 0.86 in the internal test cohort.

CONCLUSION

A clinical-radiomics integrated nomogram can predict occult para-laryngeal lymph node metastasis in esophageal squamous cell carcinoma and provide guidance for personalized treatment.

Preoperative CT radiomics of esophageal squamous cell carcinoma and lymph node to predict nodal disease with a high diagnostic capability

PURPOSE

To develop CT radiomics models of resectable esophageal squamous cell carcinoma (ESCC) and lymph node (LN) to preoperatively identify LN+.

MATERIALS AND METHODS

299 consecutive patients with ESCC were enrolled in the study, 140 of whom were LN+ and 159 were LN-. Of the 299 patients, 249 (from the same hospital) were randomly divided into a training cohort (n = 174) and a test cohort (n = 75). The remaining 50 patients, from a second hospital, were assigned to an external validation cohort. In the training cohort, preoperative contrast-enhanced CT radiomics features of ESCC and LN were extracted, then integrated with clinical features to develop three models: ESCC, LN and combined. The performance of these models was assessed using area under receiver operating characteristic curve (AUC), and F-1 score, which were validated in both the test cohort and external validation cohort.

RESULTS

An ESCC model was developed for the training cohort utilizing the 8 tumor radiomics features, and an LN model was constructed using 9 nodal radiomics features. A combined model was constructed using both ESCC and LN extracted features, in addition to cT stage and LN+ distribution. This combined model had the highest predictive ability among the three models in the training cohort (AUC = 0.948, F1-score = 0.878). The predictive ability was validated in both the test and external validation cohorts (AUC = 0.885 and 0.867, F1-score = 0.816 and 0.773, respectively).

CONCLUSION

To preoperatively determine LN+, the combined model is superior to models of ESCC and LN alone.

A practical nomogram included hyperlipidemia for predicting lymph node metastasis in patients with superficial esophageal squamous cell carcinoma

To select an optimal treatment, it is crucial to evaluate the risk of lymph node metastasis (LNM) in patients with superficial esophageal squamous cell carcinoma (SESCC). The research aimed to explore more risk factors than before and construct a practical nomogram to predict LNM in patients with SESCC. We retrospectively reviewed 1080 patients diagnosed with esophageal cancer who underwent esophagectomy with lymphadenectomy between January 2013 and October 2021 at the Affiliated Hospital of Qingdao University. The clinical parameters, endoscopic features, and pathological characteristics of the 123 patients that were finally enrolled in this study were collected. The independent risk factors for LNM were determined using univariate and multivariate analyses. Using these factors, a nomogram was constructed to predict LNM. LNM was observed in 21 patients. Univariate analysis showed that the absence or presence of hypertriglyceridemia, tumor location, lesion size, macroscopic type, invasion depth, differentiation, absence or presence of lymphovascular invasion (LVI), and perineural invasion were significantly associated with LNM. According to the multivariate analysis, hypertriglyceridemia, tumors located in the lower thoracic esophagus, lesion size > 20 mm, submucosal invasion, and LVI were independent risk factors for LNM. A nomogram was established using these 5 factors. It showed good calibration and discrimination. Hypertriglyceridemia, tumors located in the lower thoracic esophagus, lesion size > 20 mm, submucosal invasion, and LVI were independent risk factors for LNM. A nomogram was constructed using these 5 factors. This model can help clinicians assess the risk of LNM in patients with SESCC for optimal treatment selection.

Invasive features of superficial oesophageal squamous cell carcinoma-analysis of risk factors for lymph node metastasis

There are currently no studies that have examined the clinicopathological factors in detail, including the histological images of the invasive front, and the risk of lymph node metastasis (LNM) in superficial oesophageal squamous cell carcinoma (SESCC). This study aimed to develop an algorithm that contributes to a better assessment of the risk of LNM and recurrence in SESCC. Clinicopathological factors, such as submucosal (SM) invasion distance, were examined in 88 surgically resected cases of SESCC. An SM invasion distance of 600 μm was the statistically best customer value for LNM (p = 0.0043). To obtain a histological image of the invasive front, we evaluated modified tumour budding (MBD) by modifying the number of tumour foci constituent cells and foci in tumour budding. We also evaluated the smallest number of tumour foci. Using these factors, we developed an algorithm to predict the risk of LNM. The best algorithm was created using an SM invasion distance of 600 μm and an index of 5 or more foci consisting of five or fewer tumour cells in the MBD (MBD5 high-grade ≥ 5), which was also significantly associated with recurrence-free survival (p = 0.0305). Further study of the algorithm presented in this study is expected to improve the quality of life of patients by selecting appropriate additional treatments after endoscopic resection and appropriate initial treatment for SESCC.

The role of surgery or definitive chemoradiotherapy in management of localized squamous cell carcinoma of esophagus - What is the verdict?

The management of squamous cell carcinoma (SqCC) of esophagus has significantly changed over last decade with the development of newer surgical techniques such as endoscopic submucosal dissection for early superficial esophageal cancer and refinement of existing surgical techniques (e.g., Ivor-Lewis esophagectomy) that has been associated with an improvement in patient outcomes. The data from the pivotal CROSS study has established neoadjuvant chemoradiotherapy (CRT) as standard of care for patients with locally advanced disease progressing to esophagectomy Simultaneously, definitive chemoradiotherapy (dCRT) has emerged as an effective therapeutic modality with an added advantage of organ preservation. The present review focuses on reviewing the management of localized esophageal SqCC and exploring the evidence regarding the efficacy and caveats of different therapeutic modalities. One of the key objectives is to identify any specific features which may influence choosing a particular modality (e.g. surgery cf. dCRT) and definition of an appropriate evidence-based algorithm for management of early (superficial) and locally advanced SqCC of esophagus.

Tumor budding and tumor-infiltrating lymphocytes can predict prognosis in pT1b esophageal squamous cell carcinoma

BACKGROUND

Tumor budding (TB) and tumor-infiltrating lymphocyte (TIL) are significant predictive indicators of lymph node metastasis (LNM) and unfavorable prognosis in various tumors. Currently, there is no gold standard for TB and TIL evaluation in esophageal squamous cell carcinoma (ESCC). This study aimed to identify the standard of TB and TIL evaluations and build a predictive model for prognosis among patients with pT1b ESCC.

METHODS

We retrospectively analyzed the prognostic values of TB and TIL in 150 pT1b ESCC cases. Hematoxylin and eosin (H&E) and immunohistochemistry (IHC) of anti-pan cytokeratin (AE1/AE3) were used to analyze the threshold of TB, and intratumoral TIL and peritumoral TIL (pTIL) were evaluated using the receiver operating characteristic curves (ROC).

RESULTS

We found that TB in a three-tiered grading system (low-TB: 0-4; middle-TB: 5-15; high-TB: ≥16) displayed an excellent prognosis prediction for LNM and survival based on IHC staining using a 20× objective lens. Low pTIL level (≤20%) was a significant indicator of LNM and unfavorable prognosis (p < 0.05). Moreover, lower tumor location and lymphovascular invasion (LVI) were correlated with an unfavorable prognosis (p < 0.05). A nomogram developed based on TB, pTIL, LVI, and tumor location showed good discrimination, as shown by the area under the ROC and calibration curves.

CONCLUSION

We therefore recommend identifying TB using a 20× objective lens under IHC staining and TIL adjacent to the tumor. Additionally, a nomogram was built for facilitating individualized prediction of survival for patients with pT1b ESCC.

Efficacy of endoscopic therapy for T1b esophageal cancer and construction of prognosis prediction model: a retrospective cohort study

BACKGROUND

The efficacy of endoscopic therapy on the long-term survival outcomes of T1b oesophageal cancer (EC) is unclear, this study was designed to clarify the survival outcomes of endoscopic therapy and to construct a model for predicting the prognosis in T1b EC patients.

METHODS

This study was performed using the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2017 of patients with T1bN0M0 EC. Cancer-specific survival (CSS) and overall survival (OS) were compared between endoscopic therapy group, esophagectomy group and chemoradiotherapy group, respectively. Stabilized inverse probability treatment weighting was used as the main analysis method. The propensity score matching method and an independent dataset from our hospital were used as sensitivity analysis. The least absolute shrinkage and selection operator regression (Lasso) was employed to sift variables. A prognostic model was then established and was verified in two external validation cohorts.

RESULTS

The unadjusted 5-year CSS was 69.5% (95% CI, 61.5-77.5) for endoscopic therapy, 75.0% (95% CI, 71.5-78.5) for esophagectomy and 42.4% (95% CI, 31.0-53.8) for chemoradiotherapy. After stabilized inverse probability treatment weighting adjustment, CSS and OS were similar in endoscopic therapy and esophagectomy groups ( P =0.32, P =0.83), while the CSS and OS of chemoradiotherapy patients were inferior to endoscopic therapy patients ( P <0.01, P <0.01). Age, histology, grade, tumour size, and treatment were selected to build the prediction model. The area under the curve of receiver operating characteristics of 1, 3, and 5 years in the validation cohort 1 were 0.631, 0.618, 0.638, and 0.733, 0.683, 0.768 in the validation cohort 2. The calibration plots also demonstrated the consistency of predicted and actual values in the two external validation cohorts.

CONCLUSION

Endoscopic therapy achieved comparable long-term survival outcomes to esophagectomy for T1b EC patients. The prediction model developed performed well in calculating the OS of patients with T1b EC.

Machine learning applications in upper gastrointestinal cancer surgery: a systematic review

BACKGROUND

Machine learning (ML) has seen an increase in application, and is an important element of a digital evolution. The role of ML within upper gastrointestinal surgery for malignancies has not been evaluated properly in the literature. Therefore, this systematic review aims to provide a comprehensive overview of ML applications within upper gastrointestinal surgery for malignancies.

METHODS

A systematic search was performed in PubMed, EMBASE, Cochrane, and Web of Science. Studies were only included when they described machine learning in upper gastrointestinal surgery for malignancies. The Cochrane risk-of-bias tool was used to determine the methodological quality of studies. The accuracy and area under the curve were evaluated, representing the predictive performances of ML models.

RESULTS

From a total of 1821 articles, 27 studies met the inclusion criteria. Most studies received a moderate risk-of-bias score. The majority of these studies focused on neural networks (n = 9), multiple machine learning (n = 8), and random forests (n = 3). Remaining studies involved radiomics (n = 3), support vector machines (n = 3), and decision trees (n = 1). Purposes of ML included predominantly prediction of metastasis, detection of risk factors, prediction of survival, and prediction of postoperative complications. Other purposes were predictions of TNM staging, chemotherapy response, tumor resectability, and optimal therapy.

CONCLUSIONS

Machine Learning algorithms seem to contribute to the prediction of postoperative complications and the course of disease after upper gastrointestinal surgery for malignancies. However, due to the retrospective character of ML studies, these results require trials or prospective studies to validate this application of ML.

The Advantage of Immunohistochemical Staining for Evaluating Lymphovascular Invasion Is Limited for Patients with Esophageal Squamous Cell Carcinoma Invading the Muscularis Mucosa

The cumulative metastasis rate of esophageal squamous cell carcinoma (ESCC) pathologically invading the muscularis mucosae (pT1a-MM), based on lymphovascular invasion (LVI) evaluated by immunohistochemical (IHC) staining is unknown. This retrospective study included patients with endoscopically resected pT1a-MM ESCC. The primary endpoint was the metastasis rate of pT1a-MM based on LVI, evaluated using IHC and additional prophylactic therapy. The secondary endpoint was the identification of independent factors for metastasis based on lesion characteristics. The prognosis was also analyzed considering the impact of head and neck cancer. A total of 104 patients were analyzed, with a median follow-up of 74 months. The positive rate for LVI was 43.3% (45/104). In 33 patients, IHC was not performed at the time of clinical evaluation, 8 of whom exhibited LVI. However, these patients did not exhibit metastasis. The metastasis rates of patients without LVI, those with LVI and additional therapy, and those with LVI without additional therapy were 5.1%, 20.8%, and 0%, respectively. Lesion size ≥ 25 mm was the only independent factor for metastasis in multivariate analysis. The advantage of IHC for determining additional prophylactic therapy is limited for patients with pT1a-MM ESCC.

Endoscopic submucosal dissection versus esophagectomy for t1 esophageal squamous cell carcinoma: a propensity score-matched analysis

BACKGROUND

Endoscopic submucosal dissection (ESD) has been a preferred treatment option for superficial esophageal squamous cell carcinoma (SESCC).

OBJECTIVES

To compare the outcomes of ESD and esophagectomy in the treatment of SESCC, especially for lesions invading muscularis mucosa or submucosa (pT1a-MM/T1b).

DESIGN

We retrospectively analyzed data from patients with SESCC who underwent ESD or esophagectomy between 2015 and 2021.

METHODS

After propensity score matching, overall survival (OS), disease-specific survival (DSS), recurrence-free survival (RFS), and treatment-related events were compared between the ESD and esophagectomy groups. Furthermore, we performed a Cox regression analysis to identify factors associated with survival.

RESULTS

OS and DSS were significantly higher in the ESD group (n = 508) than that in the esophagectomy group (n = 466). After matching, 404 patients (202 per group) were included in the study. No significant differences were found between the ESD and esophagectomy groups in OS (p = 0.566), RFS (p = 0.586), and DSS (p = 0.912). The ESD group showed less blood loss, shorter procedure duration and hospital stay, lower hospital cost, and fewer adverse events. However, a lower R0 resection rate was observed in the ESD group compared to the esophagectomy group. Subgroup analysis showed comparable survival outcomes between the two groups. In Cox regression analysis, age was the independent factor associated with OS.

CONCLUSION

In the treatment of SESCC, ESD showed sufficient safety and advantages. Even for pT1a-MM/pT1b SESCC, ESD may be an alternative treatment to esophagectomy.

Machine learning models predict lymph node metastasis in patients with stage T1-T2 esophageal squamous cell carcinoma

Background

For patients with stage T1-T2 esophageal squamous cell carcinoma (ESCC), accurately predicting lymph node metastasis (LNM) remains challenging. We aimed to investigate the performance of machine learning (ML) models for predicting LNM in patients with stage T1-T2 ESCC.

Methods

Patients with T1-T2 ESCC at three centers between January 2014 and December 2019 were included in this retrospective study and divided into training and external test sets. All patients underwent esophagectomy and were pathologically examined to determine the LNM status. Thirty-six ML models were developed using six modeling algorithms and six feature selection techniques. The optimal model was determined by the bootstrap method. An external test set was used to further assess the model’s generalizability and effectiveness. To evaluate prediction performance, the area under the receiver operating characteristic curve (AUC) was applied.

Results

Of the 1097 included patients, 294 (26.8%) had LNM. The ML models based on clinical features showed good predictive performance for LNM status, with a median bootstrapped AUC of 0.659 (range: 0.592, 0.715). The optimal model using the naive Bayes algorithm with feature selection by determination coefficient had the highest AUC of 0.715 (95% CI: 0.671, 0.763). In the external test set, the optimal ML model achieved an AUC of 0.752 (95% CI: 0.674, 0.829), which was superior to that of T stage (0.624, 95% CI: 0.547, 0.701).

Conclusions

ML models provide good LNM prediction value for stage T1-T2 ESCC patients, and the naive Bayes algorithm with feature selection by determination coefficient performed best.

Approach to Localized Squamous Cell Cancer of the Esophagus

OPINION STATEMENT

Esophageal cancer is a leading cause of cancer deaths worldwide, with an increasing incidence in recent decades. The majority of esophageal cancers are squamous cell carcinoma. The 5-year survival rate of esophageal squamous cell carcinoma (ESCC) is poor, and there remains globally a pressing need for novel treatments that improve patient outcomes and quality of life. In this review, we discuss management of localized ESCC with an update on relevant newly published literature, including targeted therapy and novel biomarkers. The standard treatment approach for locally advanced, resectable ESCC is currently chemoradiation with or without surgery. Here we discuss different approaches to endoscopic resection, surgery, and radiation therapy. Although the typical chemotherapy regimen is a combination of a platinum with a fluoropyrimidine or paclitaxel, different regimens are being evaluated. With the landscape of immunotherapy rapidly evolving, at the forefront of new treatments for ESCC is immunotherapy and other targeted agents. Ultimately, the treatment approach should be individualized to each patient.

Functional analysis of the miR-145/Fascin1 cascade in canine oral squamous cell carcinoma

OBJECTIVES

Canine oral squamous cell carcinoma (SCC) often develops in the gingiva and tonsils. The biological behaviour of canine oral SCC is similar to that of human head and neck SCC (HNSCC). Inhibiting invasion and metastasis is major importance for the treatment of canine and human HNSCC. In this study, the significance of microRNA (miR)-145 and Fascin1 (FSCN1) in the invasion of canine oral SCC was explored.

MATERIALS AND METHODS

Canine oral SCC tissues and cell lines were used for miR-145 and FSCN1 expression analysis via real-time PCR and immunohistochemistry. Canine oral SCC cell lines were used for in vitro assays.

RESULTS

miR-145 was downregulated while FSCN1 mRNA was upregulated in canine oral SCC. Immunohistochemistry revealed that FSCN1 was upregulated in SCC when compared to normal mucosa. Transfection of canine SCC cells with miR-145 or FSCN1 siRNA suppressed cell growth and attenuated cell migration as well as invasion by inhibiting the epithelial-to-mesenchymal transition. Furthermore, the promoter region of miR-145 was highly methylated in SCC cell lines and tissues.

CONCLUSION

The expression profile and functions of miR-145 in canine oral SCC are similar to those in human HNSCC. Thus, canine oral SCC may represent a valuable preclinical model for human HNSCC.

[Treatment recommendations for early esophageal cancer : Endoscopic and surgical options]

BACKGROUND

Esophageal cancer represents a complex tumor entity with an increasing proportion of adenocarcinomas. Early esophageal cancer is staged as m1-m3 depending on the depth of infiltration into the mucosa and as sm1-sm3 depending on invasion into the submucosa. The risk of lymph node metastasis is strongly correlated with the depth of invasion and increases by leaps and bounds with submucosal infiltration.

MATERIAL AND METHODS

This review is based on publications retrieved by a selective database search (MEDLINE, PubMed, Cochrane Library, International Standard Randomised Controlled Trial Number, ISRCTN, registry) on the current management of early esophageal cancer.

RESULTS

The endoscopic diagnostics and evaluation of the dignity of superficial esophageal cancer by traditional staining techniques have been expanded by virtual chromoendoscopy. Endoscopic resection is the diagnostic and therapeutic procedure of choice for mucosal low risk adenocarcinomas (grade 1 or 2, no blood or lymph vessel invasion). Under certain prerequisites adenocarcinomas of the upper submucosa (sm1) can also be endoscopically removed. All other stages necessitate surgical treatment. In squamous cell carcinoma without risk factors a surgical oncological esophageal resection is indicated after infiltration of the third mucosal layer (m3). Endoscopic submucosal dissection (ESD) shows high rates of en bloc and R0 (curative) resections even with large lesions.

CONCLUSION

Borderline cases between endoscopic and surgical treatment of early esophageal cancer necessitate an interdisciplinary approach and individually adapted management, which in the locally advanced stage are always embedded in a multimodal concept.

Role of Recurrent Laryngeal Nerve Lymph Node Dissection in Surgery of Early-Stage Esophageal Squamous Cell Carcinoma

BACKGROUND

In esophageal cancer surgery, it is difficult to perform thorough dissection of lymph nodes along the recurrent laryngeal nerve (RLN-LN). However, there are limited data regarding the necessity of RLN-LN dissection in surgery for superficial esophageal squamous carcinoma (focused on T1b tumor) and its role in locoregional control and accurate nodal staging.

METHODS

Between 2001 and 2016, 567 patients with pT1N0 and 927 patients with cT1N0 squamous cell carcinoma were identified in a prospectively maintained, single institution esophagectomy registry. Sufficient or insufficient RLN-LN assessment group was defined by receiver operating characteristic curve analysis of the number of RLN-LN harvested. To mitigate bias, inverse probability weighting adjustment and several sensitivity analyses were performed.

RESULTS

In the pT1N0 cohort, patients with sufficient (≥ 4) harvested RLN-LNs showed significantly superior 5-year recurrence-free survival (89.1% versus 74.8%, log-rank P < 0.001). Patients with insufficient RLN-LN dissection mainly developed locoregional failure at the upper mediastinal or cervical area (87% of total recurred cases). The survival impact of sufficient RLN-LN dissection was more prominent in subsets of upper-middle thoracic tumors or with deep submucosal invasion. In the analysis on cT1N0 cohort, sufficient RLN-LN assessment conferred a 1.5-fold increase in the discovery of positive-nodal disease (19.4% versus 27.8%, P = 0.008).

CONCLUSIONS

Adequate RLN-LN dissection during surgery may help reduce the risk of recurrence and enhance the accuracy of nodal staging in early-stage esophageal squamous cell carcinoma. Therefore, meticulous surgical evaluation for this region should not be underrated, particularly in the high-risk subset with lymph node metastasis. Visual Abstract Graphical summary of key study findings. T wo cohorts (pT1 and cT1 ; both mainly comprised T1b ) were analyzed for separate purposes; the former controlled for pathologic stage was primarily analyzed in terms of survival and recurrence hazard, whereas the latter (controlled for clinical was used for stage migration ( and intention to treat analysis. Th e results show the significance of adequate bilateral RLN LN in the surgery for early stage ESCC (particularly those with T1b)T1b), in terms of accurate nodal staging, effective nodal clearance, and reduced regional.