Prognostic Factors and Outcomes in Elderly Esophagectomy Patients with Esophageal Cancer.

BACKGROUND: Choosing the appropriate treatment for elderly patients with esophageal cancer remains a contentious issue. While surgery is still a valid option, we aimed to identify predictors and outcomes in elderly esophagectomy patients with esophageal cancer. PATIENTS AND METHODS: We analyzed characteristics, surgical outcomes, survival rates, cause-specific mortality, and recurrence in 120 patients with stage I-IV esophageal cancer. Univariate and multivariate analyses were used to identify risk factors for event-free survival (EFS) and overall survival (OS). RESULTS: The median follow-up period was 31 months, with 5-year overall survival (OS) and event-free survival (EFS) rates standing at 45.2% and 41.5%, respectively. Notably, lower body mass index (BMI ≤ 22 kg/m2) and reduced preoperative albumin levels (pre-ALB < 40 g/L) led to a significant decrease in OS rates. Postoperative pulmonary complications resulted in higher in-hospital and 90-day mortality rates. After about 31 months post-surgery, the rate of cancer-specific deaths stabilized. The most common sites for distant metastasis were the lungs, supraclavicular lymph nodes, liver, and bone. The study identified lower BMI, lower pre-ALB levels, and postoperative pulmonary complications as independent risk factors for poorer EFS and OS outcomes. CONCLUSIONS: Esophagectomy remains a safe and feasible treatment for elderly patients, though the prevention of postoperative pulmonary infection is crucial. Factors such as lower BMI, lower pre-ALB levels, advanced tumor stage, postoperative pulmonary complications, and certain treatment modalities significantly influence the outcomes in elderly esophagectomy patients. These findings provide critical insights into the characteristics and outcomes of this patient population.

Conditional Survival of Patients with Limited-Stage Small Cell Lung Cancer After Surgery: A National Real-World Cohort Study.

BACKGROUND: The prognosis of limited-stage small cell lung cancer (LS-SCLC) after surgery usually is estimated at diagnosis, but how the prognosis actually evolves over time for patients who survived for a predefined time is unknown. METHODS: Data on patients with a diagnosis of LS-SCLC after surgery between 2004 and 2015 were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. The 5-year conditional cancer-specific survival (CCSS) and conditional overall survival (COS) were calculated. RESULTS: This study analyzed 997 patients (555 women, 55.7%) with a median age, of 67 years (interquartile range [IQR], 60-73 years). The 5-year CCSS and COS increased from 44.7% and 38.3%, respectively, at diagnosis to 83.7% and 67.9% at 5 years after diagnosis. Although there were large differences with different stages (stages I, II, and III) at diagnosis (respectively 59.5%, 28.4%; 28.1% for CCSS and 50.6%, 24.8%, and 23.6% for COS), the gap decreased with time, and the rates were similar after 5 years (respectively 85.0%, 80.3%, and 79.4% for CCSS; 65.6%, 56.9%, and 61.3% for COS). The 5-year conditional survival for the patients who received lobectomy was better than for those who received sublobectomy or pneumonectomy. Multivariable analyses showed that only age and resection type were independent predictors for CCSS and COS, respectively, throughout the period. CONCLUSION: Conditional survival estimates for LS-SCLC generally increased over time, with the most significant improvement in patients with advanced stage of disease. Resection type and old age represented extremely important determinants of prognosis after a lengthy event-free follow-up period.

Construction and validation of a risk-scoring model to predict lymph node metastasis in T1b-T2 esophageal cancer.

BACKGROUND: Lymph node status is an important factor in determining preoperative treatment strategies for stage T1b-T2 esophageal cancer (EC). Thus, the aim of this study was to investigate the risk factors for lymph node metastasis (LNM) in T1b-T2 EC and to establish and validate a risk-scoring model to guide the selection of optimal treatment options. METHODS: Patients who underwent upfront surgery for pT1b-T2 EC between January 2016 and December 2022 were analyzed. On the basis of the independent risk factors determined by multivariate logistic regression analysis, a risk-scoring model for the prediction of LNM was constructed and then validated. The area under the receiver operating characteristic curve (AUC) was used to assess the discriminant ability of the model. RESULTS: The incidence of LNM was 33.5% (214/638) in our cohort, 33.4% (169/506) in the primary cohort and 34.1% (45/132) in the validation cohort. Multivariate analysis confirmed that primary site, tumor grade, tumor size, depth, and lymphovascular invasion were independent risk factors for LNM (all P < 0.05), and patients were grouped based on these factors. A 7-point risk-scoring model based on these variables had good predictive accuracy in both the primary cohort (AUC, 0.749; 95% confidence interval 0.709-0.786) and the validation cohort (AUC, 0.738; 95% confidence interval 0.655-0.811). CONCLUSION: A novel risk-scoring model for lymph node metastasis was established to guide the optimal treatment of patients with T1b-T2 EC.

Nomogram to Predict Recurrence and Guide a Pragmatic Surveillance Strategy After Resection of Hepatoid Adenocarcinoma of the Stomach: A Retrospective Multicenter Study.

BACKGROUND: An accurate recurrence risk assessment system and surveillance strategy for hepatoid adenocarcinoma of the stomach (HAS) remain poorly defined. This study aimed to develop a nomogram to predict postoperative recurrence of HAS and guide individually tailored surveillance strategies. METHODS: The study enrolled all patients with primary HAS who had undergone curative-intent resection at 14 institutions from 2004 to 2019. Clinicopathologic variables with statistical significance in the multivariate Cox regression were incorporated into a nomogram to build a recurrence predictive model. RESULTS: The nomogram of recurrence-free survival (RFS) based on independent prognostic factors, including age, preoperative carcinoembryonic antigen, number of examined lymph nodes, perineural invasion, and lymph node ratio, achieved a C-index of 0.723 (95% confidence interval [CI], 0.674-0.772) in the whole cohort, which was significantly higher than those of the eighth American Joint Committed on Cancer (AJCC) staging system (C-index, 0.629; 95% CI, 0.573-0.685; P < 0.001). The nomogram accurately stratified patients into low-, middle-, and high-risk groups of postoperative recurrence. The postoperative recurrence risk rates for patients in the middle- and high-risk groups were respectively 3 and 10 times higher than for the low-risk group. The patients in the middle- and high-risk groups showed more recurrence and metastasis, particularly multiple site metastasis, within 36 months after the operation than those in the low-risk group (low, 2.2%; middle, 8.6%; high, 24.0%; P = 0.003). CONCLUSIONS: The nomogram achieved good prediction of postoperative recurrence for the patients with HAS after radical resection. For the middle- and high-risk patients, more active surveillance and targeted examination methods should be adopted within 36 months after the operation, particularly for liver and multiple metastases.

Radiographical Evaluation of Tumor Immunosuppressive Microenvironment and Treatment Outcomes in Gastric Cancer: A Retrospective, Multicohort Study.

BACKGROUND: The tumor immunosuppressive microenvironment can influence treatment response and outcomes. A previously validated immunosuppression scoring system (ISS) assesses multiple immune checkpoints in gastric cancer (GC) using tissue-based assays. We aimed to develop a radiological signature for non-invasive assessment of ISS and treatment outcomes. METHODS: A total of 642 patients with resectable GC from three centers were divided into four cohorts. Radiomic features were extracted from portal venous-phase CT images of GC. A radiomic signature for predicting ISS (RISS) was constructed using the least absolute shrinkage and selection operator (LASSO) regression method. Moreover, we investigated the value of the RISS in predicting survival and chemotherapy response. RESULTS: The RISS, which consisted of 10 selected features, showed good discrimination of immunosuppressive status in three independent cohorts (area under the curve = 0.840, 0.809, and 0.843, respectively). Multivariate analysis revealed that the RISS was an independent prognostic factor for both disease-free survival (DFS) and overall survival (OS) in all cohorts (all p < 0.05). Further analysis revealed that stage II and III GC patients with low RISS exhibited a favorable response to adjuvant chemotherapy (OS: hazard ratio [HR] 0.407, 95% confidence interval [CI] 0.284-0.584); DFS: HR 0.395, 95% CI 0.275-0.568). Furthermore, the RISS could predict prognosis and select stage II and III GC patients who could benefit from adjuvant chemotherapy independent of microsatellite instability status and Epstein-Barr virus status. CONCLUSION: The new, non-invasive radiomic signature could effectively predict the immunosuppressive status and prognosis of GC. Moreover, the RISS could help identify stage II and III GC patients most likely to benefit from adjuvant chemotherapy and avoid overtreatment.

Reappraise role of lymph node status in patterns of recurrence following curative resection of gastric adenocarcinoma.

OBJECTIVE: To examine the association between lymph node status and recurrence patterns in completely resected gastric adenocarcinoma. METHODS: We retrospectively assessed 1,694 patients who underwent curative gastrectomy from January 2010 to August 2014. Patients stratified according to lymph node status and recurrence patterns among different subgroups were compared. RESULTS: Of all, 517 (30.5%) patients developed recurrent disease, and complete data of recurrence could be obtained in 493 (95.4%) patients. For pN0 patients, the patterns of recurrence were different according to pT stage: locoregional recurrence was most common in patients with pT1-2 disease (57.1%), distant recurrence was most common in patients with pT3 disease (57.1%), and peritoneal recurrence was most common in patients with pT4a disease (66.7%). For pN+ patients, distant metastasis was most common pattern irrespective of pT stage. The site-specific trend of recurrence showed that locoregional recurrence increased within 5 years in patients with pN0-2 disease but plateaued 3 years after surgery in patients with pN3 disease. Time to recurrence was significantly longer for the pN0 patients compared with the pN+ patients (median: 25 vs. 16 months, P=0.001). Moreover, post-recurrence survival was significantly better for the pN0 patients than for the pN+ patients (median: 12 vs. 6 months, P<0.001), especially in patients with non-peritoneal recurrence, late recurrence, single recurrence, and receipt of potential curative treatment. CONCLUSIONS: Among clinicopathologic factors, lymph node status is the most important factor associated with recurrence patterns after curative gastrectomy. Lymph node status may be used as an adjunct in clinical decision-making about postoperative therapeutic and follow-up strategies.

Prognostic significance of pre- and post-operative tumour markers for patients with gastric cancer.

BACKGROUND: In clinical practice, carcinoembryonic antigen (CEA) and carbohydrate antigen (CA) 19-9 are the most common markers measured before and after surgery for gastric cancer (GC). However, which pre- or post-operative combined tumour markers (CEA and CA19-9) have more prognostic value remains unclear. METHODS: Consecutive patients undergoing a resection for GC at the Fujian Medical University Union Hospital were included as a discovery database between January 2011 and December 2014. The prognostic impact of pre- and post-operative tumour markers was evaluated using Kaplan-Meier log-rank survival analysis and multivariable Cox regression analysis. The results were then externally validated. RESULTS: A total of 735 and 400 patients were identified in the discovery cohort and in the validation cohort, respectively. Overall survival rates decreased in a stepwise manner in association with the number of pre- and post-operative positive tumour markers (both P < 0.001). Multivariable analysis revealed that the number of pre-operative positive tumour markers was an independent prognostic factor (P < 0.05). For patients with abnormal pre-operative tumour markers, normalisation of tumour markers after surgery is an independent prognostic protective factor (hazard ratio (HR) = 0.618; 95% confidence interval (CI) = 0.414-0.921), and patients with both positive post-operative tumour markers had double the risk of overall death (HR = 2.338; 95% CI = 1.071-5.101). Similar results were observed in the internal validation and external validation cohorts. CONCLUSION: Pre-operative tumour markers have a better discriminatory ability for post-operative survival in GC patients than post-operative tumour markers, and the normalisation of tumour markers after surgery was associated with better survival.

Complete blood count-based inflammatory score (CBCS) is a novel prognostic marker for gastric cancer patients after curative resection.

BACKGROUND: We sought to investigate the prognostic value of complete blood count (CBC)-based biomarkers for patients with resectable gastric cancer (GC). METHODS: Patients with GC who underwent primary surgical resection between December 2008 and December 2013 were included. The estimated area under the curve (AUC) and multivariate Cox regression models were used to identify the best CBC-based biomarker. Time-dependent receiver operating characteristic (t-ROC) curve analysis was used to predict overall survival and compare the prognostic impact. RESULTS: In the 1810 patients analyzed, the median follow-up period was 51.0 months (range 1-101 months). Based on multivariate analysis, the lymphocyte-monocyte ratio (LMR) and hemoglobin (Hb) level were independent prognostic factors (both P < 0.05). Based on the LMR and Hb level, we established the CBC-based inflammatory score (CBCS). A higher CBCS was associated with older age, female sex, higher American Society of Anesthesiologists (ASA) score, proximal tumor location, larger tumor size, later stage and vascular involvement (all P < 0.05). Univariate analyses showed that a higher CBCS was also associated with worse overall survival (OS), which was consistent in each stage (all P < 0.05). Multivariate analysis revealed that the CBCS was a significant independent biomarker (P < 0.05). The AUC for the CBCS (0.627) was significantly higher than the AUCs for the LMR (0.573) and Hb level (0.605) (both P < 0.05). Furthermore, the t-ROC curve of the CBCS was superior to that of the prognostic nutritional index (PNI), systemic immune-inflammation index (SII), modified Glasgow prognostic score (mGPS) and C-reactive protein/albumin ratio (CRP/Alb) throughout the observation period. CONCLUSION: The preoperative LMR and Hb level were optimal CBC-based biomarkers for predicting OS in GC patients after curative resection. Based on the LMR and Hb, we developed a novel and easily obtainable prognostic score called the CBCS, which may improve the prediction of clinical outcomes.

The incidence and survival outcomes of patients with primary cardiac lymphoma: A SEER-based analysis.

This study aimed to evaluate the incidence and prognosis of primary cardiac lymphoma (PCL) by using the Surveillance, Epidemiology, and End Results Program (SEER) database. Patients diagnosed with PCL and the disease incidence in the SEER database from 1975 to 2016 were included. Overall survival (OS) and cause-specific survival (CSS) curves were calculated using the Kaplan-Meier method and compared by the log-rank test. Univariate and multivariable Cox proportional hazard regression analyses were used to identify associations with outcome measures. The incidence of PCL was 0.011/100 000, and a predominance of elderly and male patients was observed. A total of 144 patients were enrolled. The median age of onset was 68 (9-96) years, including 80 (55.6%) males and 64 (44.4%) females. Multivariate analysis revealed that age and chemotherapy were independent prognostic factors for OS (both P < .05). Ann Arbor stage and chemotherapy were independent prognostic factors for CSS (both P < .05). In terms of treatment modality, chemotherapy combined with surgery was an independent protective factor for OS and CSS (both P < .05). For patients with primary cardiac diffuse large B-cell lymphoma (cardiac DLBCL), multivariate analysis also showed that age, Ann Arbor stage, and chemotherapy were all independent prognostic factors for OS and CSS (all P < .05). Chemotherapy combined with surgery was associated with a significant benefit in terms of OS and CSS (both P < .05). Our study confirmed that older age and advanced Ann Arbor stage were independent risk factors for PCL, and treatment with chemotherapy or cooperation with surgery resulted in better long-term survival.

Prognostic Value and Association of Sarcopenia and Systemic Inflammation for Patients with Gastric Cancer Following Radical Gastrectomy.

OBJECTIVE: The aim of this study was to investigate the prognostic value of preoperative sarcopenia and systemic inflammation for patients with resectable gastric cancer (GC) and develop a novel and powerful prognostic score based on these factors. MATERIALS AND METHODS: Patients with GC who underwent radical gastrectomy between December 2009 and December 2013 were included. A multivariate Cox regression analysis was performed to identify the prognostic factors. A novel prognostic score (SLMR) was developed based on preoperative sarcopenia and the lymphocyte-monocyte ratio (LMR), and its prognostic value was evaluated. RESULTS: In total, 1,167 patients with resectable GC were included in the study. On multivariate analysis, preoperative sarcopenia and the LMR were shown to be independent prognostic factors (both p < .001). A low LMR was an independent predictor from sarcopenia (p < .001). Based on preoperative sarcopenia and the LMR, we established the SLMR. An elevated SLMR was associated with older age, higher ASA scores, larger tumor size, advanced stages, and vascular invasion (all p < .05). Multivariate analysis revealed that the SLMR was a significant independent predictor (p < .001). We incorporated the SLMR into a prognostic model that included tumor size and TNM stage and generated a nomogram, which accurately predicted 3- and 5-year survival for GC patients. CONCLUSION: Preoperative systemic inflammation is significantly associated with sarcopenia. The LMR combined with sarcopenia could enhance prognostication for patients with GC who underwent radical gastrectomy. IMPLICATIONS FOR PRACTICE: Increasing evidence shows that sarcopenia and systemic inflammation are closely associated with the prognosis of malignant tumors, and it is essential for clinicians to understand the relationship and combined prognostic effects of these factors for gastric cancer (GC). Based on a large data set, this study found that preoperative systemic inflammation was significantly associated with sarcopenia in GC, and combining these two predictors could effectively predict the prognosis and complement the prognostic value of the TNM staging system. These findings may lead to the development of new therapeutic avenues to improve cancer outcomes.

Preoperative Hematocrit (HCT) is a Novel and Simple Predictive Marker for Gastric Cancer Patients Who Underwent Radical Gastrectomy.

BACKGROUND: Previous studies have suggested that preoperative anemia negatively influences survival in patients with gastric cancer (GC). We sought to investigate which anemic markers can better predict the prognosis of patients with resectable GC. METHODS: The study involved 2277 GC patients who underwent curative resection between December 2008 and December 2014. Cox regression models were used to identify the best anemic markers associated with prognosis. Time-dependent receiver operating characteristics analysis (t-ROC) and the estimated area under the curve (AUC) were used to compare the prognostic values. RESULTS: Of all patients, 1709 (75.1%) were male, and the median age was 61 years. Univariate analyses showed that preoperative hematocrit (HCT), hemoglobin, and mean corpuscular volume were associated with OS (all P < 0.05). However, in a separate analysis of individual stages, only HCT was shown to be significantly prognostic across all tumor stages (all P < 0.05). In the multivariate analysis, preoperative HCT remained an independent prognostic factor for GC. Low HCT was significantly associated with older age, female sex, lower body mass index, higher American Society of Anesthesiologists score, higher preoperative transfusion rate, 90-day mortality, adjuvant chemotherapy, larger tumor size, lymph node metastasis, later stage, and vascular involvement. The t-ROC curve and AUC for HCT were similar to those for the controlling nutritional status and prognostic nutritional index throughout the observation period. CONCLUSIONS: The preoperative HCT is a novel, simple, and powerful prognostic indicator of poor outcome in patients with GC and can be used as a part of the preoperative risk stratification process.

Prognostic importance of the preoperative modified systemic inflammation score for patients with gastric cancer.

BACKGROUND: The systemic inflammation score (SIS), based on preoperative serum albumin (Alb) level and lymphocyte-to-monocyte ratio (LMR), has been shown to be a novel prognostic score for some tumors. We investigate the prognostic value of the SIS in patients with resectable gastric cancer (GC). METHODS: Patients with GC who underwent curative resection between December 2008 and December 2013 were included. Time-dependent receiver operating characteristics analysis (t-ROC), concordance index (C-index) and AUC were used to compare the prognostic impact. RESULTS: Totally, 1786 patients with resectable GC were included in the study. By multivariate analysis, the SIS was not an independent prognostic factor. However, the normal Alb level (≥ 40 g/l) and LMR ≥ 3.4 both remained independent protective factors for GC (both P < 0.05). Due to the similar survival of patients with LMR ≥ 3.4 and LMR < 3.4 in the normal Alb group, we combined the two subgroups to establish the modified SIS (mSIS). Multivariate analysis revealed that the mSIS was the only significant independent biomarker (P < 0.05). The t-ROC curve and C-index for the mSIS were superior to those of the SIS throughout the observation period. Furthermore, the AUC of the mSIS was significantly greater than that of the SIS at 3 and 5 years after operation (both P < 0.05). CONCLUSION: The preoperative mSIS is a novel, simple and useful prognostic factor for postoperative survival in patients with GC and can be used as a part of the preoperative risk stratification process to improve the prediction of clinical outcomes.

Preoperative Tumor Markers Independently Predict Survival in Stage III Gastric Cancer Patients: Should We Include Tumor Markers in AJCC Staging?

OBJECTIVE: The aim of this study was to determine the prognostic significance of preoperative carcinoembryonic antigen (CEA) and carbohydrate antigen (CA) 19-9 levels in patients with resectable gastric cancer (GC). PATIENTS AND METHODS: Patients who underwent a radical resection for GC at the Fujian Medical University Union Hospital between 2007 and 2014 were included in this study. The estimated area under the curve (AUC) was compared to evaluate the discriminatory ability of tumor makers. Additional external validation was performed using a dataset from Sun Yat-sen University Cancer Center. RESULTS: Preoperative CEA/CA19-9 levels were identified as an independent predictor of overall survival (OS) and disease-specific survival (DSS) (both p < 0.05) in the development group. In a subgroup analysis based on TNM stage, preoperative CEA/CA19-9 levels clearly stratified the survival rates for stage III GC (p < 0.05). A multivariate analysis revealed that preoperative CEA/CA19-9 levels were an independent prognostic factor (p < 0.05) in stage III; the AUC of the preoperative CEA/CA19-9 was equivalent to that of T stage. A prediction model (TNMC) for stage III GC was developed by incorporating preoperative CEA/CA19-9 levels into the American Joint Committee on Cancer (AJCC) staging system. The AUC of the TNMC was significantly higher than that of the TNM staging system at 1, 3, and 5 years postoperatively (all p < 0.05), with similar results also being obtained in the external validation set. CONCLUSION: Preoperative CEA/CA19-9 levels are an independent predictor of OS and DSS in stage III GC patients. The inclusion of preoperative CEA/CA19-9 levels in AJCC TNM staging provided an optimal prognosis in stage III GC.

MASMDDI: multi-layer adaptive soft-mask graph neural network for drug-drug interaction prediction.

Accurately predicting Drug-Drug Interaction (DDI) is a critical and challenging aspect of the drug discovery process, particularly in preventing adverse reactions in patients undergoing combination therapy. However, current DDI prediction methods often overlook the interaction information between chemical substructures of drugs, focusing solely on the interaction information between drugs and failing to capture sufficient chemical substructure details. To address this limitation, we introduce a novel DDI prediction method: Multi-layer Adaptive Soft Mask Graph Neural Network (MASMDDI). Specifically, we first design a multi-layer adaptive soft mask graph neural network to extract substructures from molecular graphs. Second, we employ an attention mechanism to mine substructure feature information and update latent features. In this process, to optimize the final feature representation, we decompose drug-drug interactions into pairwise interaction correlations between the core substructures of each drug. Third, we use these features to predict the interaction probabilities of DDI tuples and evaluate the model using real-world datasets. Experimental results demonstrate that the proposed model outperforms state-of-the-art methods in DDI prediction. Furthermore, MASMDDI exhibits excellent performance in predicting DDIs of unknown drugs in two tasks that are more aligned with real-world scenarios. In particular, in the transductive scenario using the DrugBank dataset, the ACC and AUROC and AUPRC scores of MASMDDI are 0.9596, 0.9903, and 0.9894, which are 2% higher than the best performing baseline.

The prognostic significance of right paratracheal lymph node dissection numbers in right upper lobe non-small cell lung cancer.

BACKGROUND: The number of dissected lymph nodes is closely related to the prognosis of patients with non-small cell lung cancer. This study explored the optimal number of right paratracheal lymph nodes dissected in right upper non-small cell lung cancer patients and its impact on prognosis. METHODS: Patients who underwent radical surgery for right upper lobe cancer between 2012 and 2017 were retrospectively enrolled. The optimal number of right paratracheal lymph nodes and the relationship between the number of dissected right paratracheal lymph nodes and the prognosis of right upper non-small cell lung cancer were analysed. RESULTS: A total of 241 patients were included. The optimal number of dissected right paratracheal lymph nodes was 6. The data were divided according to the number of dissected right paratracheal lymph nodes into groups RPLND + (≥ 6) and RPLND- (< 6). In the stage II and III patients, the 5-year overall survival rates were 39.0% and 48.2%, respectively (P = 0.033), and the 5-year recurrence-free survival rates were 32.8% and 41.8%, respectively (P = 0.043). Univariate and multivariate analyses revealed that among the stage II and III patients, ≥ 6 right paratracheal dissected lymph nodes was an independent prognostic factor for overall survival (HR = 0.53 95% CI 0.30-0.92 P = 0.025) and recurrence-free survival (HR = 1.94 95% CI 1.16-3.24 P = 0.011). CONCLUSIONS: Resection of 6 or more right paratracheal lymph nodes may be associated with an improved prognosis in patients with right upper non-small cell lung cancer, especially in patients with stage II or III disease.

The association between histological subtypes and lymph node metastasis and prognosis in early esophageal cancer: a population-based study.

BACKGROUND: There is still a lack of high-level clinical evidence and uniform conclusions on whether there are differences in lymph node metastasis (LNM) and prognosis between early esophageal adenocarcinoma (EAC) and squamous cell carcinoma (ESCC). METHODS: Patients with surgically resected, histologically diagnosed, pT1 EAC or ESCC in the Surveillance, Epidemiology and End Results registries database from 2004 to 2015 were included. Multivariable logistic regression, Cox regression, multivariate competing risk model, and propensity score matching were used to analyze association the histology and LNM or prognosis. RESULTS: A total of 570 early esophageal cancer patients were included. The LNM rates were 13.8% and 15.1% for EAC and ESCC ( P  = 0.757), respectively. Multivariate logistic regression analysis showed no significant association between histological type and LNM (odds ratio [OR], 1.209; 95% CI, 0.538-2.715; P  = 0.646). Moreover, the prognosis of early EAC and ESCC was shown to be comparable in both multivariate Cox regression (hazard ratio [HR], 1.483; 95% CI, 0.699-3.150; P  = 0.305) and the multivariate competing risk model (subdistribution HR, 1.451; 95% CI, 0.628-3.354; P  = 0.383). After propensity score matching, there were no significant differences between early EAC and ESCC in terms of LNM (10.6% vs.18.2%, P  = 0.215), 5-year CSS (89.8% [95% CI, 81.0%-98.6%] vs. 79.1% [95% CI, 67.9%-90.3%], P  = 0.102) and 5-year cumulative incidence of CSS (10.2% [95% CI, 1.4%-19.0%] vs. 79.1% [95% CI, 9.7%-32.1%], P  = 0.124). CONCLUSION: The risk of LNM and prognosis of early ESCC and EAC are comparable, so the treatment choice for early esophageal cancer does not depend on the histologic type.