Clinical calculator based on CT and clinicopathologic characteristics predicts short-term prognosis following resection of microsatellite-stabilized diffuse gastric cancer

PURPOSE

Although microsatellite stability/Epithelial-mesenchymal transition (MSS/EMT) subtypes have been reported in multiple cancer prognosis studies, strong confounding factors between MSS/EMT (usually with Lauren's diffuse phenotype) and diffuse gastric cancer (GC) may obscure the independent prognostic value of diffuse GC. Additionally, recent studies suggest a strong correlation between mural stratification based on CT and diffuse GC. This study aims to investigate potential prognostic factors of MSS diffuse GC using mural stratification and to develop a risk assessment model.

METHODS

This retrospective study included 131 patients with MSS diffuse GC who underwent radical surgery. Univariate and multivariate Cox proportional hazards regression analysis was used to identify model predictors and construct a nomogram for overall survival (OS) and recurrence-free survival (RFS) risks. The model's performance was evaluated using ROC, accuracy, and C-index. Internal validation of the model was conducted using the bootstrap resampling method.

RESULTS

Among 131 cases, 60 cases (45.8%) exhibited grade 2 mural stratification, which correlated with a poorer tumor prognosis and a more invasive phenotype. Furthermore, a nomogram for predicting OS and RFS prognosis was established based on multivariate results (age, extranodal invasion, mural stratification, and/or P53). The nomogram demonstrated excellent performance, with an AUC of 0.859 (95% CI 0.794-0.924) for OS and 0.859 (95% CI 0.789-0.929) for RFS. Internal validation using 1000 bootstrap samples yielded AUC values of 0.845 and 0.846 for OS and RFS, respectively.

CONCLUSION

Grade 2 mural stratification based on CT imaging revealed a more aggressive invasive phenotype, characterized by increased LN metastasis, higher rates of peritoneal metastasis, and a poorer short-term prognosis. Furthermore, the CT phenotype-based nomogram demonstrates favorable discrimination and calibration, enabling convenient individual short-term prognostic evaluation following resection of MSS diffuse GC.

Effect of extracapsular lymph node involvement on the prognosis of patients with esophageal squamous cell carcinoma

BACKGROUND

According to the eighth edition of the tumor node metastasis (TNM) staging system for esophageal cancer, it is recommended that extracapsular lymph node involvement (EC-LNI) is included as a registered independent variable for the disease. However, its role in the prognosis has not been clearly explained.

OBJECTIVE

To study the value of EC-LNI in the prognosis of esophageal cancer and attempt to explore its molecular mechanism via an enrichment analysis.

METHODS

A retrospective analysis was performed on 544 patients with esophageal squamous cell carcinoma (ESCC) who underwent radical surgery in the department of thoracic surgery of our hospital, focusing on the relationship between EC-LNI and clinicopathological characteristics and its effect on prognosis. Additionally, the mechanism of EC-LNI in esophageal cancer was explored.

RESULTS

Among the 271 patients with lymph node metastasis, 125 were EC-LNI (+). The degrees of tumor differentiation, location, TNM stage, vascular tumor thrombus, and nerve invasion were related to the occurrence of EC-LNI. The stage of TNM was considered an independent risk factor for the development of EC-LNI. A significant difference was found in terms of overall survival (OS) and disease-free survival (DFS) between the EC-LNI (+) and EC-LNI (-) groups. A univariate analysis showed that the degrees of tumor differentiation, T stage, N stage, TNM stage, EC-LNI, EC-LNI number, and EC-LNI distance were significantly correlated with prognosis. A multivariate survival analysis showed that tumor differentiation, TNM stage, and EC-LNI were independent prognostic factors for OS, while TNM stage and EC-LNI were independent prognostic factors for DFS. The enrichment analysis identified the molecular targets and signaling pathways that can regulate cell proliferation, differentiation, and apoptosis.

CONCLUSION

Extracapsular LNI has a high prognostic value in patients with esophageal cancer and is closely related to the stage of tumors. Our preliminary molecular mechanism research indicated that the molecular targets of EC-LNI are expected to become a new direction for the treatment of esophageal cancer.

Extracapsular lymph node involvement is a robust survival predictor in esophageal cancer patients: A pooled analysis

BACKGROUND

Although extracapsular lymph node involvement (EC-LNI) has been proposed to be incorporated into the staging system of esophageal cancer, the prognostic value of EC-LNI remains controversial with conflicting data available, especially in the era of neoadjuvant therapy.

METHODS

An electronic literature search was undertaken using four public databases. Studies investigating the effects of EC-LNI on survival were included. In addition to analysis of the entire cohort, subset analyses were also performed to assess the impact of EC-LNI on patients receiving different treatment modalities.

RESULTS

A total of 20 studies were included in this meta-analysis. Pooling 13 studies on overall survival (OS), we observed that presence of EC-LNI was associated with significantly worse OS (HR = 2.09, 95%CI: 1.63-2.68; p < 0.01). Nine studies describing disease-free survival (DFS) included, the pooled data revealed that presence of EC-LNI was associated with significantly worse DFS (HR = 1.89, 95%CI: 1.63-2.20; p < 0.001). Subset analyses of patients receiving neoadjuvant therapy demonstrated a survival disadvantage of EC-LNI on OS (HR = 1.928, 95%CI: 1.196-3.107; p = 0.007) and DFS (HR = 1.985, 95%CI: 1.585-2.487; p < 0.001). Similar result was also seen in patients receiving primary surgery (OS: HR = 2.219, 95%CI: 1.720-2.864; p < 0.001; DFS: HR = 1.659, 95%CI: 1.285-2.141; p < 0.001).

CONCLUSION

EC-LNI is a strong prognostic predictor of inferior survival in patients with esophageal cancer irrespective of treatment modality. The currently pooled evidence indicates that EC-LNI has great potential to be incorporated into the future staging system.

Prognostic Role of Nodal Skip Metastasis in Thoracic Esophageal Squamous Cell Carcinoma: A Large-Scale Multicenter Study

BACKGROUND

Nodal-skip metastasis (NSM) is found in esophageal squamous cell carcinoma (ESCC), but its prognostic role is controversial. This study aimed to investigate the prognostic value of NSM for thoracic ESCC patients.

METHODS

Categorization of NSM was according to the N groupings of Japan Esophagus Society (JES) staging system, which is dependent on tumor location. Using the Kaplan-Meier method and Cox-regression analysis, this study retrospectively analyzed the overall survival (OS) for 2325 ESCC patients after radical esophagectomy at three high-volume esophageal cancer centers. Predictive models also were constructed.

RESULTS

The overall NSM rate was 20% (229/1141): 37.4% in the in upper, 12.9% in the middle, and 22.2% in the lower thoracic ESCC. The patients with NSM always had a better prognosis than those without NSM. Furthermore, NSM was an independent prognostic factor for thoracic ESCC patients (hazard ratio [HR], 0.633; 95% confidence interval [CI], 0.499-0.803; P < 0.001). By integrating the prognostic values of NSM and N stage, the authors proposed the new N staging system. The categories defined by the new N staging system were more homogeneous in terms of OS than those defined by the current N system. Moreover, the new N system was shown to be an independent prognostic factor also for thoracic ESCC patients (HR, 1.607; 95% CI, 1.520-1.700; P < 0.001). Overall, the new N system had slightly better homogeneity, discriminatory ability, and monotonicity of gradient than the current N system.

CONCLUSIONS

This study emphasized the prognostic power of NSM and developed a modified node-staging system to improve the efficiency of the current International Union for Cancer Control (UICC)/American Joint Committee on Cancer (AJCC) N staging system.

Association of Long Noncoding RNAs Polymorphisms with the Risk of Esophagogastric Junction Adenocarcinoma: A Three-Center Study of 1063 Cases and 1677 Controls

Increasing evidence suggested that long noncoding RNAs (lncRNAs) variants may be involved in the progression of various cancers. However, the association of the lncRNAs polymorphisms with the risk for esophagogastric junction adenocarcinoma (EGJA) is still unknown. In this case-control study, we selected two cancer-related lncRNAs polymorphisms (rs944289 C > T and rs7990916 C>T), and recruited a total of 1063 EGJA patients and 1677 noncancer controls to determine whether the lncRNAs rs944289 C > T and rs7990916 C > T polymorphisms could influence EGJA susceptibility and lymph node status. And SNPscan™ genotyping assay was applied to test the genotypes of the mentioned two variants. We found no statistically significant differences in the distribution of lncRNAs rs944289 C > T and rs7990916 C > T polymorphisms between EGJA patients and healthy controls. Similar negative findings were also revealed in the correlation of those polymorphisms with different lymph node status. However, after adjustment by multiple environmental factors, including gender, age, drinking, and smoking consumption, the stratified analyses showed that the lncRNAs rs944289 C > T variant was significantly related with the risk of EGJA in <60 years populations [CT vs. CC: adjusted odds ratio (OR) = 0.75, 95% confidence interval (CI) = 0.58-0.98, p = 0.032] and ever smoking populations (CT/CC vs. TT: adjusted OR = 1.65, 95% CI = 1.11-2.46, p = 0.013). In short, this population-based study highlights that lncRNAs rs944289 C > T polymorphism may be associated with genetic susceptibility to EGJA in the <60 years and ever smoking populations.

The Prognostic Impact of Extracapsular Lymph Node Involvement in Esophageal Squamous Cell Carcinoma

BACKGROUND

The role of extracapsular lymph node involvement (ELNI) in esophageal cancer has not been fully investigated. We aim to assess its incidence and prognostic significance in patients with esophageal squamous cell carcinoma (ESCC) treated with and without neoadjuvant treatments.

METHODS

Data of patients who underwent esophagectomy for ESCC in a single medical center was retrospectively reviewed. Patients with positive lymph node involvement were classified as either with ELNI or without ELNI (intracapsular lymph node involvement, ILNI). The impact of ELNI on overall survival (OS), disease-free survival (DFS), and disease recurrence was analyzed.

RESULTS

A total of 336 patients, including 179 without (NCRT -) and 157 with (NCRT +) neoadjuvant chemoradiotherapy, were included. Seventy-two of 179 (40.2%) patients in NCRT - group were with positive lymph node, of whom 19 (26.4%) had ELNI, whereas 49 (31.2%) patients in NCRT + group had positive lymph node, of whom 25 (51.0%) had ELNI. In NCRT + group, patients with ELNI had worse outcome compared to those with ILNI in 5-year OS (10.4 vs. 13.8%, p = 0.008), and DFS (5.3 vs. 17.5%, p = 0.008). The presence of ELNI was also associated with more distant recurrence (p = 0.03). In contrast, there was no survival difference between patients with ELNI and ILNI in NCRT - group.

CONCLUSIONS

Compared with ILNI, ELNI is a significant poor prognostic factor in patients with ESCC treated with neoadjuvant treatments, but not in those with primary surgery.

Extranodal extension of lymph node metastasis is a marker of poor prognosis in oesophageal cancer: a systematic review with meta-analysis

The extranodal extension (ENE) of nodal metastasis is the extension of neoplastic cells through the nodal capsule into the perinodal adipose tissue. This histological feature has recently been indicated as an important prognostic factor in different types of malignancies; in this manuscript, we aim at defining its role in the prognosis of oesophageal cancer with the tool of meta-analysis. Two independent authors searched SCOPUS and PubMed until 31 August 2015 without language restrictions. The studies with available data about prognostic parameters in subjects with oesophageal cancer, comparing patients with the presence of ENE (ENE+) versus only intranodal extension (ENE-), were considered as eligible. Data were summarised using risk ratios (RRs) for number of deaths/recurrences and HRs together with 95% CIs for time-dependent risk related to ENE+, adjusted for potential confounders. Fourteen studies were selected; they followed-up 1437 patients with oesophageal cancer for a median follow-up of 39.4 months. The presence of ENE was associated with a significantly increased risk of all-cause mortality (RR=1.33; 95% CI 1.18 to 1.50, p<0.0001, I²=49%; HR=2.72, 95% CI 2.03 to 3.64, p<0.0001, I²=0%), cancer-specific mortality (RR=1.35; 95% CI 1.14 to 1.59, p=0.001, I²=57%; HR=1.97, 95% CI 1.41 to 2.75, p<0.0001, I²=41%) and of risk of recurrence (RR=1.50, 95% CI 1.20 to 1.88, p<0.0001, I²=9%; HR=2.27, 95% CI 1.72 to 2.90, p<0.0001, I²=0%). On the basis of these results, in oesophageal cancer, ENE should be considered from the gross sampling to the pathology report, and in future oncological staging system.

Neoadjuvant chemoradiation treatment followed by surgery for esophageal cancer: there is much more than the mandard tumor regression score

OBJECTIVE

Tumor regression grading (TRG) systems categorize residual tumor volume on the primary tumor after neoadjuvant treatment. Aim was to evaluate the impact of Mandard TRG, residual tumor depth (ypT) and residual lymph node status (ypN) and extent (ELNI) i.e. intracapsular versus extracapsular involvement on overall (OS) and disease-free survival (DFS) in esophageal carcinoma.

METHODS

Between 2005 and 2014, 344 patients receiving R0-esophagectomy after neoadjuvant chemoradiation therapy (nCRT) were selected. Mandard TRG, ypTN and ELNI were prospectively recorded.

RESULTS

Mandard TRG1 was found in 110 (32%); TRG2 in 120 (35%); TRG3 in 53 (15%); TRG4 in 54 (16%) and TRG5 in 7 (2%) patients. Both OS and DFS showed no significant difference between TRG1 and 2 (p = 0.059 and 0.105, respectively). Therefore, TRG1/2 was classified together as 'major response', TRG3/4 as 'minor response' and TRG5 as 'no response'. Multivariate analysis showed two independent prognosticators for OS (tumor regression response (TRR) and number of positive lymph nodes) and three independent prognosticators for DFS (TRR, ypT and ELNI).

CONCLUSION

After nCRT followed by surgery for esophageal carcinoma, number of residual positive lymph nodes as well as TRR are prognosticators for OS. Minor TRR, ypT and extracapsular lymph node invasion are prognosticators for recurrence.

Prediction of survival in patients with oesophageal or junctional cancer receiving neoadjuvant chemoradiotherapy and surgery

Background

The value of conventional prognostic factors is unclear in the era of multimodal treatment for oesophageal cancer. This study aimed to quantify the impact of neoadjuvant chemoradiotherapy (nCRT) and surgery on well established prognostic factors, and to develop and validate a prognostic model.

Methods

Patients treated with nCRT plus surgery were included. Multivariable Cox modelling was used to identify prognostic factors for overall survival. A prediction model for individual survival was developed using stepwise backward selection. The model was internally validated leading to a nomogram for use in clinical practice.

Results

Some 626 patients who underwent nCRT plus surgery were included. In the multivariable model, only pretreatment cN category and ypN category were independent prognostic factors. The final prognostic model included cN, ypT and ypN categories, and had moderate discrimination (c-index at internal validation 0·63).

Conclusion

In patients with oesophageal or oesophagogastric cancer treated with nCRT plus surgery, overall survival can best be estimated using a prediction model based on cN, ypT and ypN categories. Predicted survival according to this model showed only moderate correlation with observed survival, emphasizing the need for new prognostic factors to improve survival prediction.