A proposal for uniformity in classification of lymph node stations in esophageal cancer.
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ABSTRACT:
SUBMITTER: Schuring N
PROVIDER: S-EPMC8503476 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Lymph node metastasis (LNM) is one of the major prognostic factors for esophageal squamous cell carcinoma (ESCC). However there is no consensus regarding the prognostic significance of the location of LNM. Therefore, a novel classification was proposed to identify the lymph node (LN) stations which may be useful in predicting prognosis. A total of 260 ESCC patients were enrolled in this prospective study. The prognostic values of LNM in different lymph node (LN) stations were evaluated by random survival forests (RSF). Their prognostic significance was examined by Cox regression and receiver operating characteristic curve (ROC). The three most frequently involved LN stations were station 16 (24.49%), station 1 (22.22%) and station 2 (21.05%). Stations 1, 2, 8M, 8L and 16 were grouped as dominant LN stations (DLNS) which showed higher values in predicting overall survival (OS) and disease-free survival (DFS) than the remaining LN stations, which we define as non-dominant LN stations (N-DLNS). LNM features of DLNS (number of positive LN stations, number of positive LNs and LN ratio), but not those from N-DLNS, served as independent prognostic factors (P<0.05) whenever used alone or when combined with factors from N-DLNS. Furthermore, the area under ROC indicated that DLNS is a more accurate prediction than N-DLNS (P<0.05). This study demonstrated the value of LNM in DLNS in predicting prognosis in surgical ESCC patients, which outperformed those from N-DLNS. Therefore, the method of dominant and non-dominant classification may serve as an additional parameter to improve individualized therapeutic strategies.
| S-EPMC5342812 | biostudies-other
Project description:BackgroundThe optimal extent of lymph node dissection (LND) and the anatomic boundaries per lymph node station (LNS) during minimally invasive esophagectomy (MIE) for esophageal cancer remain a topic of debate. This study investigated the opinion of Dutch esophageal cancer surgeons on their routine LND extent and anatomic boundaries per LNS during MIE.MethodsIn April 2023, an English web-based cross-sectional survey was conducted. In each of the 15 Dutch hospitals performing MIE, two MIE surgeons were asked to participate. The routine LND extent (quantity, specific LNS) for distal esophageal adenocarcinoma, (dis)agreement with the TIGER definition, and anatomic boundaries for each LNS in six directions were queried.ResultsThe survey was completed by 24 Dutch MIE surgeons (80% response rate). Consensus on the routine LND extent ( ≥ 85% of the participating surgeons) included the left and right paracardial, left gastric artery, celiac trunk, proximal splenic artery, common hepatic artery, subcarinal middle mediastinal paraoesophageal, lower mediastinal paraoesophageal, pulmonary ligament, and upper mediastinal paraoesophageal LNSs. Other LNSs were not widely considered routine. Although, certain anatomic boundaries were consistent among the surgeons, the majority varied, even when they agreed on the TIGER definition.ConclusionSignificant variations in surgical practice among Dutch esophageal surgeons regarding their routine extent of LND and anatomic boundaries of LNSs during MIE were demonstrated. Variation may have an impact on clinical outcomes, hampering uniform treatment strategies and hindering comparison of performance assessments. This study highlighted the need for an international follow-up study toward one uniform defined LND during MIE for esophageal cancer.
| S-EPMC11300550 | biostudies-literature
Project description:OBJECTIVESTo identify the associations of lymph node metastases (pN+), number of positive nodes, and pN subclassification with cancer, treatment, patient, geographic, and institutional variables, and to recommend extent of lymphadenectomy needed to accurately detect pN+ for esophageal cancer.SUMMARY BACKGROUND DATALimited data and traditional analytic techniques have precluded identifying intricate associations of pN+ with other cancer, treatment, and patient characteristics.METHODSData on 5806 esophagectomy patients from the Worldwide Esophageal Cancer Collaboration were analyzed by Random Forest machine learning techniques.RESULTSpN+, number of positive nodes, and pN subclassification were associated with increasing depth of cancer invasion (pT), increasing cancer length, decreasing cancer differentiation (G), and more regional lymph nodes resected. Lymphadenectomy necessary to accurately detect pN+ is 60 for shorter, well-differentiated cancers (<2.5?cm) and 20 for longer, poorly differentiated ones.CONCLUSIONSIn esophageal cancer, pN+, increasing number of positive nodes, and increasing pN classification are associated with deeper invading, longer, and poorly differentiated cancers. Consequently, if the goal of lymphadenectomy is to accurately define pN+ status of such cancers, few nodes need to be removed. Conversely, superficial, shorter, and well-differentiated cancers require a more extensive lymphadenectomy to accurately define pN+ status.
| S-EPMC5405457 | biostudies-literature
Project description:Although multidisciplinary treatment has improved the prognosis of esophageal cancer, it is commonly associated with one of the worse prognoses. Since lymph node (LN) metastases can primarily occur from the cervical to the abdominal field, a strategy for extended LN dissection has been established. The three field LN dissection (3FD) during a transthoracic esophagectomy which is defined as a procedure for cervico-thoraco-abdominal LN dissection, was established in the 1980s' in Japan, and is currently widely accepted throughout the world. To date, various comparative trials between 3FD and two field LN dissections (2FD) have been reported and show that a transthoracic esophagectomy with 3FD is superior to 2FD for prognosis. However, in 3FD, postoperative complications, such as recurrent laryngeal nerve palsy and postoperative gastrointestinal dysfunction can be induced. Furthermore, there are few prospective trials that have compared between 2FD and 3FD. Therefore, to determine the ideal range of LN dissection, various factors (e.g., location of the primary tumor, disease progression, tumor histology, and perioperative treatment) must be considered. Recently, the efficacy of intense perioperative treatment for esophageal cancer has been reported, and the significance of minimally invasive surgical procedures are being verified. The ideal combination of perioperative treatment and feasible surgery must be established to improve the oncological outcome of esophageal cancer patients further.
| S-EPMC5538994 | biostudies-other
Project description: Not available
| S-EPMC10713315 | biostudies-literature
Project description:Esophageal cancer, which is commonly accompanied by lymph node metastasis, is among the deadliest of cancers and carries a grim prognosis. We investigated the association between genetic variation in checkpoint kinase 2 (CHEK2), which has been linked to metastasis in other cancers, and the risk of developing lymph node metastasis from esophageal cancer. CHEK2-122 G/C genotypes were determined by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) in 296 subjects with esophageal cancer (67 cases with and 229 cases without lymph node metastasis). The associations between CHEK2 genotypes and the risk of lymph node metastasis from esophageal cancer were estimated by computing odds ratios (OR) and their 95% confidence intervals (CI). The CHEK2 GG, GC, and CC genotype frequencies in patients with and without lymph node metastasis were 47.8%, 40.3%, and 11.9% and 31.0%, 50.7%, and 18.3% respectively, and were statistically significant (?(2) =6.591, P=0.037). Logistic regression analyses revealed that the CHEK2-122 GC genotype significantly reduced the risk of lymph node metastasis (adjusted OR=0.54, 95% CI=0.29-0.93, P=0.028) compared to the GG genotype. Subsequently, we propose that the CHEK2-122 G/C polymorphism may play a protective role in preventing lymph node metastasis from esophageal cancer, and may also provide insight toward determining patient prognosis without the use of surgery.
| S-EPMC4613028 | biostudies-literature
Project description:BackgroundThis study evaluates the feasibility and strategy of left tracheobronchial lymph node (LN) dissection in the surgical treatment of esophageal cancer, and its impact on surgical outcomes following thoracoscopic esophagectomy.MethodsData of 265 patients with thoracic esophageal cancer who underwent thoracoscopic and laparoscopic esophagectomy was retrospectively reviewed. In 80 cases, thoracoscopic esophagectomy was performed without left tracheobronchial LN dissection (group non-4L), while 185 cases underwent thoracoscopic esophageal mobilization with routine left tracheobronchial node dissection (group 4L). We introduced a "mesoesophageal suspension" method in order to facilitate complete dissection of the left tracheobronchial nodes, along with left recurrent laryngeal nerve nodes. Both univariate and multivariate analyses were performed to evaluate risk factors correlated to left tracheobronchial node metastasis.ResultsThe non-4L group experienced less blood loss than the 4L group (P = 0.009). More mediastinal LNs were dissected in the 4L group (P < 0.001). There was no significant difference with regard to the incidence of major postoperative complications between the two groups. Compared with other LN metastases, the metastatic rate of the left tracheobronchial LNs was relatively lower. Based on multivariate analysis of six factors, lymphatic invasion and subcarinal node metastasis were shown to be strong independent predictors of left tracheobronchial metastasis.ConclusionRoutine thoracoscopic extensive lymphadenectomy, including the left tracheobronchial LN, was technically feasible and safe in patients with esophageal cancer. Using a mesoesophagus suspension technique, we performed a meticulous LN dissection in the upper mediastinal space.
| S-EPMC4773297 | biostudies-literature
Project description:PURPOSE:To build and validate a radiomics-based nomogram for the prediction of pre-operation lymph node (LN) metastasis in esophageal cancer. PATIENTS AND METHODS:A total of 197 esophageal cancer patients were enrolled in this study, and their LN metastases have been pathologically confirmed. The data were collected from January 2016 to May 2016; patients in the first three months were set in the training cohort, and patients in April 2016 were set in the validation cohort. About 788 radiomics features were extracted from computed tomography (CT) images of the patients. The elastic-net approach was exploited for dimension reduction and selection of the feature space. The multivariable logistic regression analysis was adopted to build the radiomics signature and another predictive nomogram model. The predictive nomogram model was composed of three factors with the radiomics signature, where CT reported the LN number and position risk level. The performance and usefulness of the built model were assessed by the calibration and decision curve analysis. RESULTS:Thirteen radiomics features were selected to build the radiomics signature. The radiomics signature was significantly associated with the LN metastasis (P<0.001). The area under the curve (AUC) of the radiomics signature performance in the training cohort was 0.806 (95% CI: 0.732-0.881), and in the validation cohort it was 0.771 (95% CI: 0.632-0.910). The model showed good discrimination, with a Harrell's Concordance Index of 0.768 (0.672 to 0.864, 95% CI) in the training cohort and 0.754 (0.603 to 0.895, 95% CI) in the validation cohort. Decision curve analysis showed our model will receive benefit when the threshold probability was larger than 0.15. CONCLUSION:The present study proposed a radiomics-based nomogram involving the radiomics signature, so the CT reported the status of the suspected LN and the dummy variable of the tumor position. It can be potentially applied in the individual preoperative prediction of the LN metastasis status in esophageal cancer patients.
| S-EPMC6154864 | biostudies-literature
Project description:In order to refine the location and metastasis-risk density of 16 lymph node stations of gastric cancer for neoadjuvant radiotherapy, we retrospectively reviewed the initial images and pathological reports of 255 gastric cancer patients with lymphatic metastasis. Metastatic lymph nodes identified in the initial computed tomography images were investigated by two radiologists with gastrointestinal specialty. A circle with a diameter of 5 mm was used to identify the central position of each metastatic lymph node, defined as the LNc (the central position of the lymph node). The LNc was drawn at the equivalent location on the reference images of a standard patient based on the relative distances to the same reference vessels and the gastric wall using a Monaco® version 5.0 workstation. The image manipulation software Medi-capture was programmed for image analysis to produce a contour and density atlas of 16 lymph node stations. Based on a total of 2846 LNcs contoured (31-599 per lymph node station), we created a density distribution map of 16 lymph node drainage stations of the stomach on computed tomography images, showing the detailed radiographic delineation of each lymph node station as well as high-risk areas for lymph node metastasis. Our mapping can serve as a template for the delineation of gastric lymph node stations when defining clinical target volume in pre-operative radiotherapy for gastric cancer.
| S-EPMC5522214 | biostudies-other
Project description:ObjectiveWhether lymph node micrometastasis (LNM) increases the risk in esophageal cancer patients remains controversial. We conducted a systematic review and meta-analysis to explore the prognosis value of LNM in esophageal cancer patients.MethodsTwo reviewers independently searched electronic databases, including PubMed, Embase, and the Cochrane Library, for eligible citations until February 2022. We calculated pooled estimates of the hazards ratio with a random-effects model. The certainty of evidence was determined by the Grade of Recommendations Assessment, Development, and Evaluation (GRADE) method. A sensitivity analysis was performed to assess the stability. Publication bias was assessed using funnel plots and Egger's test. We also performed subgroup analysis to explore the source of heterogeneity.ResultsA total of 16 studies, with 1,652 patients, were included. The overall survival (OS) was significantly increased with LNM negativity compared with LNM positivity (HR 1.95; 95% CI, 1.53-2.49; P < 0.001; I2 = 0.0%, P = 0.930; certainty of evidence: low). Relapse-free survival (RFS) was significantly increased with LNM negativity compared with LNM positivity (HR 3.39; 95% CI, 1.87-6.16; P < 0.001; I2 = 50.18%, P = 0.060; certainty of evidence: moderate). No significant difference was observed in recurrence between the two groups (certainty of evidence: low). Sensitivity analysis revealed a stable trend. In addition, the funnel plot and Egger's test did not show significant publication bias.ConclusionLNM positivity worsens the prognosis in esophageal cancer, and the evidence for RFS is moderate. Future relevant high-quality studies are warranted to validate our results further and provide a reference for guidelines.Systematic review registrationhttps://www.crd.york.ac.uk/prospero, identifier (CRD42022321768).
| S-EPMC9845692 | biostudies-literature