The effectiveness of the 8th American Joint Committee on Cancer TNM classification in the prognosis evaluation of gastric cancer patients: A comparative study between the 7th and 8th editions

Short-term outcomes of distal gastrectomy versus total gastrectomy for gastric cancer under enhanced recovery after surgery: a propensity score-matched analysis

Enhanced recovery after surgery (ERAS) has been used safely and effectively in patients with gastric cancer. Our aim was to evaluate the short-term outcomes of total gastrectomy (TG) versus distal gastrectomy (DG) for gastric cancer under ERAS. A prospectively collected database of 1349 patients with gastric cancer who underwent TG or DG between January 2016 and September 2022 was retrospectively analyzed. Propensity score matching analysis was used at a ratio of 1:1 to reduce confounding effects, and perioperative clinical outcomes were compared between the two groups. The primary outcome was overall postoperative complications (POCs). Secondary outcomes comprised time to bowel function recovery, postoperative hospital stay, mortality, and 30-day readmission rate. Of 1349 identified patients, 296 (21.9%) experienced overall POCs. Before matching, multivariable analysis revealed that age, body mass index, diabetes, operation time, and extent of gastrectomy were independent risk factors for overall POCs. After matching, each group comprised 495 patients, and no significant differences were observed between the groups for all parameters except tumor location. Compared with TG, DG was associated with significantly earlier days to first flatus and to eating a soft diet, and shorter postoperative hospital stay (P < 0.05). The incidence of overall- and severe POCs (Clavien-Dindo grade ≥ IIIa) in the TG group was significantly higher vs. the DG group (P < 0.05). There was no significant difference in the number of days to eating a liquid diet, or mortality and 30-day readmission rates between the groups (P > 0.05). In the subgroup analysis for middle-third gastric cancer, the TG group experienced higher rates of overall- and severe POCs, with a longer postoperative hospital stay. Compared with DG, patients who underwent TG had higher POC rates, slower recovery of bowel function, and longer duration of hospitalization under ERAS. Therefore, caution is needed when initiating early feeding for patients who undergo TG.

Serum tumor marker and CT body composition scoring system predicts outcomes in colorectal cancer surgical patients

OBJECTIVE

To investigate the prognostic value of preoperative body composition and serum tumor markers (STM) in patients undergoing surgical treatment for colorectal cancer (CRC) and to establish the prognostic score for patients with CRC.

METHODS

This study enrolled 365 patients (training set 245, validation set 120) with CRC who underwent surgical resection. The predictive value of various body composition features and STM for determining CRC prognosis were compared. A novel index score based on the independent risk factors from Cox regression for CRC patients was established and evaluated for its usefulness.

RESULTS

Multivariate Cox regression showed that low skeletal muscle radiodensity (SMD) (p = 0.020), low subcutaneous fat area (SFA) (p = 0.029), high carcinoembryonic antigen (CEA) (p = 0.008), and high alpha-fetoprotein (AFP) (p = 0.039) were all independent prognostic factors for poor overall survival (OS). The multifactorial analysis indicated that high intermuscular fat area (IMFA) (p = 0.033) and high CEA (p = 0.009) were independent prognostic factors for poor disease-free survival (DFS). Based on these findings, two scoring systems for OS and DFS were established in the training datasets. CRC patients who scored higher on the new scoring systems had lower OS and DFS (both p < 0.001) as shown in the Kaplan-Meier survival curves in the training and validation datasets.

CONCLUSION

In predicting the prognosis of CRC patients, SFA and SMD are superior to other body composition measurements. A scoring system based on body composition and STM can have prognostic value and clinical applicability.

CLINICAL RELEVANCE STATEMENT

This scoring system, combining body composition and serum tumor markers, may help predict postoperative survival of CRC patients and help clinicians make well-informed decisions regarding the treatment of patients.

KEY POINTS

Colorectal cancer prognosis can be related to body composition. High intermuscular fat area and CEA were independent prognostic factors for poor disease-free survival. This scoring system, based on body composition and tumor markers, can prognosticate for colorectal cancer patients.

Development and validation of a Radiopathomics model based on CT scans and whole slide images for discriminating between Stage I-II and Stage III gastric cancer

OBJECTIVE

This study aimed to develop and validate an artificial intelligence radiopathological model using preoperative CT scans and postoperative hematoxylin and eosin (HE) stained slides to predict the pathological staging of gastric cancer (stage I-II and stage III).

METHODS

This study included a total of 202 gastric cancer patients with confirmed pathological staging (training cohort: n = 141; validation cohort: n = 61). Pathological histological features were extracted from HE slides, and pathological models were constructed using logistic regression (LR), support vector machine (SVM), and NaiveBayes. The optimal pathological model was selected through receiver operating characteristic (ROC) curve analysis. Machine learnin algorithms were employed to construct radiomic models and radiopathological models using the optimal pathological model. Model performance was evaluated using ROC curve analysis, and clinical utility was estimated using decision curve analysis (DCA).

RESULTS

A total of 311 pathological histological features were extracted from the HE images, including 101 Term Frequency-Inverse Document Frequency (TF-IDF) features and 210 deep learning features. A pathological model was constructed using 19 selected pathological features through dimension reduction, with the SVM model demonstrating superior predictive performance (AUC, training cohort: 0.949; validation cohort: 0.777). Radiomic features were constructed using 6 selected features from 1834 radiomic features extracted from CT scans via SVM machine algorithm. Simultaneously, a radiopathomics model was built using 17 non-zero coefficient features obtained through dimension reduction from a total of 2145 features (combining both radiomics and pathomics features). The best discriminative ability was observed in the SVM_radiopathomics model (AUC, training cohort: 0.953; validation cohort: 0.851), and clinical decision curve analysis (DCA) demonstrated excellent clinical utility.

CONCLUSION

The radiopathomics model, combining pathological and radiomic features, exhibited superior performance in distinguishing between stage I-II and stage III gastric cancer. This study is based on the prediction of pathological staging using pathological tissue slides from surgical specimens after gastric cancer curative surgery and preoperative CT images, highlighting the feasibility of conducting research on pathological staging using pathological slides and CT images.

Nomogram to predict overall survival of patients receiving radical gastrectomy and incomplete peri-operative adjuvant chemotherapy for stage II/III gastric cancer: a retrospective bi-center cohort study

BACKGROUND

To establish a nomogram to predict the probability of survival of patients with stage II/III gastric cancer (GC) who received incomplete peri-operative adjuvant chemotherapy (PAC).

METHODS

The medical records of stage II/III GC patients who received curative resection and 1 to 5 cycles of PAC from two tertiary hospitals were retrospectively reviewed. Patients were randomly classified into either a training group or validation group at a ratio of 7:3. The nomogram was constructed based on various prognostic factors using Cox regression analysis in the training cohort, and was validated by the validation group. Concordance index and calibration curves were used to evaluate the discrimination and calibration of the nomogram. Additionally, decision curve analysis (DCA) was used to compare the net clinical benefits of the nomogram and eighth version of TNM staging system.

RESULTS

A total of 1,070 consecutive patients were included and 749 patients were enrolled into the training group. Lower body mass index (< 18.5 kg/m2), total gastrectomy, stage III disease and fewer cycles of PAC were identified to be independent predictors for poorer survival. The area under the curve (AUC) values of receiver operating characteristics (ROC) curve predicting 5-year survival probabilities and C-index were 0.768 and 0.742, 0.700 (95%CI: 0.674-0.726) and 0.689 (95%CI: 0.646-0.732) in the training and validation groups, respectively. The calibration curves in the validation cohort showed good agreement between the prediction and observation of 1-, 3- and 5-year survival probabilities. Furthermore, DCA showed that our model has a better net benefit than that of TNM staging system.

CONCLUSIONS

The findings emphasize the value of completing PAC. The nomogram which was established to predict survival probability in patients with stage II/III GC receiving radical gastrectomy and incomplete PAC had good accuracy and was verified through both internal and external validation.

A comprehensive radiopathological nomogram for the prediction of pathological staging in gastric cancer using CT-derived and WSI-based features

OBJECTIVE

This study aims to develop and validate an innovative radiopathomics model that combines radiomics and pathomics features to effectively differentiate between stages I-II and stage III gastric cancer (pathological staging).

METHODS

Our study included 200 patients with well-defined stages of gastric cancer divided into a training cohort (n = 140) and a test cohort (n = 60). Radiomics features were extracted from contrast-enhanced CT images using PyRadiomics, while pathomics features were obtained from whole slide images of pathological specimens through a fine-tuned deep learning model (ResNet-18). After rigorous feature dimensionality reduction and selection, we constructed radiomics models (SVM_rad, LR_rad, and MLP_rad) and pathomics models (SVM_path, LR_path, and MLP_path) utilizing support vector machine (SVM), logistic regression (LR), and multilayer perceptron (MLP) algorithms. The optimal radiomics and pathomics models were chosen based on comprehensive evaluation criteria such as ROC curves, Hosmer‒Lemeshow tests, and calibration curve tests. Feature patterns extracted from the best-performing radiomics model (MLP_rad) and pathomics model (SVM_rad) were integrated to create a powerful radiopathomics nomogram.

RESULTS

From a pool of 1834 radiomics features extracted from CT images, 14 were selected to construct radiomics models. Among these, the MLP_rad model exhibited the most robust predictive performance (AUC, training cohort: 0.843; test cohort: 0.797). Likewise, 10 pathomics features were chosen from 512 extracted from whole slide images to build pathomics models, with the SVM_path model demonstrating the highest predictive efficiency (AUC, training cohort: 0.937; test cohort: 0.792). The combined radiopathomics nomogram model exhibited optimal discriminative ability (AUC, training cohort: 0.951; test cohort: 0.837), as confirmed by decision curve analysis (DCA), which indicated superior clinical effectiveness.

CONCLUSION

This study presents a cutting-edge radiopathomics nomogram model designed to predict pathological staging in gastric cancer, distinguishing between stages I-II and stage III. Our research leverages preoperative CT images and histopathological slides to forecast gastric cancer staging accurately, potentially facilitating the estimation of staging before radical gastric cancer surgery in the future.

Who are optimal candidates for primary tumor resection in patients with metastatic gastric adenocarcinoma? A population-based study

BACKGROUND

The research aimed to construct a novel predictive nomogram to identify specific metastatic gastric adenocarcinoma (mGAC) populations who could benefit from primary tumor resection (PTR).

METHOD

Patients with mGAC were included in the SEER database and divided into PTR and non-PTR groups. The Kaplan-Meier analysis, propensity score matching (PSM), least absolute shrink and selection operator (LASSO) regression, multivariable logistic regression, and multivariate Cox regression methods were then used. Finally, the prediction nomograms were built and tested.

RESULTS

3185 patients with mGAC were enrolled. Among the patients, 679 cases underwent PTR while the other 2506 patients didn't receive PTR. After PSM, the patients in the PTR group presented longer median overall survival (15.0 vs. 7.0 months, p < 0.001). Among the PTR group, 307 (72.9%) patients obtained longer overall survival than seven months (beneficial group). Then the LASSO logistic regression was performed, and gender, grade, T stage, N stage, pathology, and chemotherapy were included to construct the nomogram. In both the training and validation cohorts, the nomogram exhibited good discrimination (AUC: 0.761 and 0.753, respectively). Furthermore, the other nomogram was constructed to predict 3-, 6-, and 12-month cancer-specific survival based on the variables from the multivariate Cox analysis. The 3-, 6-, and 12-month AUC values were 0.794, 0.739, and 0.698 in the training cohort, and 0.805, 0.759, and 0.695 in the validation cohorts. The calibration curves demonstrated relatively good consistency between the predicted and observed probabilities of survival in two nomograms. The models' clinical utility was revealed through decision curve analysis.

CONCLUSION

The benefit nomogram could guide surgeons in decision-making and selecting optimal candidates for PTR among mGAC patients. And the prognostic nomogram presented great prediction ability for these patients.

Long-Term Impact of D2 Lymphadenectomy during Gastrectomy for Cancer: Individual Patient Data Meta-Analysis and Restricted Mean Survival Time Estimation

BACKGROUND

Debate exists concerning the impact of D2 vs. D1 lymphadenectomy on long-term oncological outcomes after gastrectomy for cancer.

METHODS

PubMed, MEDLINE, Scopus, and Web of Science were searched and randomized controlled trials (RCTs) analyzing the effect of D2 vs. D1 on survival were included. Overall survival (OS), cancer-specific survival (CSS), and disease-free survival (DFS) were assessed. Restricted mean survival time difference (RMSTD) and 95% confidence intervals (CI) were used as effect size measures.

RESULTS

Five RCTs (1653 patients) were included. Overall, 805 (48.7%) underwent D2 lymphadenectomy. The RMSTD OS analysis shows that at 60-month follow-up, D2 patients lived 1.8 months (95% CI -4.2, 0.7; p = 0.14) longer on average compared to D1 patients. Similarly, 60-month CSS (1.2 months, 95% CI -3.9, 5.7; p = 0.72) and DFS (0.8 months, 95% CI -1.7, 3.4; p = 0.53) tended to be improved for D2 vs. D1 lymphadenectomy.

CONCLUSIONS

Compared to D1, D2 lymphadenectomy is associated with a clinical trend toward improved OS, CSS, and DFS at 60-month follow-up.

Prognostic significance of a novel index score based on the inflammation-based prognostic scores of patients with colorectal cancer

BACKGROUND AND AIM

This study aimed to clarify the prognostic value of various inflammation-based prognostic scores (IBPSs) in patients who underwent radical surgery for colorectal cancer (CRC) and to develop a novel prognostic index using IBPSs and other predictive factors.

METHODS

Data of 1157 patients who underwent radical surgery for CRC were reviewed. The predictive value of various IBPSs in determining the CRC prognosis was compared. A novel index score based on the IBPSs and other parameters that were associated with survival in patients with CRC was established, and its usefulness was evaluated.

RESULTS

The patients were randomly divided into the training (n = 694) and validation (n = 463) sets. Male sex (P = 0.0001), age ≥ 75 years (P < 0.0001), a carcinoembryonic antigen (CEA) level of > 5 (P = 0.0009), a C-reactive protein/albumin ratio (CAR) of ≥ 0.04 (P = 0.0033), and a prognostic nutritional index (PNI) of < 43.1 (P = 0.0004) were poor independent prognostic factors of overall survival. The novel index score was calculated based on the scores of these five prognostic factors. The Kaplan-Meier survival curves showed that the CRC patients with higher novel index scores in the training and validation datasets had poorer overall survival.

CONCLUSIONS

CAR and PNI were superior to other IBPSs for predicting the prognosis of CRC patients. The novel index score established based on sex, age, CEA level, CAR, and PNI can predict the prognosis of CRC with more precise and clearer stratification than the individual parameters alone.

Current standards of lymphadenectomy in gastric cancer

Gastric cancer remains the 5th most common cancer and the 3rd most common cause of cancer mortality. Most patients diagnosed with gastric cancer still have a poor prognosis due to its advanced presentation at diagnosis, even in countries with developed screening programs. Surgery is the cornerstone of the treatment for gastric cancer, often combined with perioperative chemotherapy. Lymph node dissection is a crucial component of the surgical treatment of gastric cancer. D1 lymphadenectomy is currently recommended for early stage tumors. The extent of lymphadenectomy in advanced gastric cancer, however, is still a matter of debate between Eastern and Western surgeons. Although a D2 dissection is the current standard recommended by most guidelines, there might be a place for more limited dissections such as D1 + in selected cases. This evidence-based review will help defining the optimal lymphadenectomy for patients with gastric cancer.

Establishment of a 7-gene expression panel to improve the prognosis classification of gastric cancer patients

Gastric cancer (GC) ranks fifth in incidence and fourth in mortality worldwide. The high death rate in patients with GC requires new biomarkers for improving survival estimation. In this study, we performed a transcriptome-based analysis of five publicly available cohorts to identify genes consistently associated with prognosis in GC. Based on the ROC curve, patients were categorized into high and low-expression groups for each gene using the best cutoff point. Genes associated with survival (AUC > 0.5; univariate and multivariate Cox regressions, p < 0.05) were used to model gene expression-based scores by weighted sum using the pooled Cox β regression coefficients. Cox regression (p < 0.05), AUC > 0.5, sensitivity > 0.5, and specificity > 0.5 were considered to identify the best scores. Gene set enrichment analysis (KEGG, REACTOME, and Gene Ontology databases), as well as microenvironment composition and stromal cell signatures prediction (CIBERSORT, EPIC, xCell, MCP-counter, and quanTIseq web tools) were performed. We found 11 genes related to GC survival in the five independent cohorts. Then, we modeled scores by calculating all possible combinations between these genes. Among the 2,047 scores, we identified a panel based on the expression of seven genes. It was named GES7 and is composed of CCDC91, DYNC1I1, FAM83D, LBH, SLITRK5, WTIP, and NAP1L3 genes. GES7 features were validated in two independent external cohorts. Next, GES7 was found to recategorize patients from AJCC TNM stages into a best-fitted prognostic group. The GES7 was associated with activation of the TGF-β pathway and repression of anticancer immune cells. Finally, we compared the GES7 with 30 previous proposed scores, finding that GES7 is one of the most robust scores. As a result, the GES7 is a reliable gene-expression-based signature to improve the prognosis estimation in GC.

Nomogram-Based Prognostic Evaluation of Gastric Cancer Patients with Low Counts of Examined Lymph Nodes Outperforms the Predictive Ability of the 7th and 8th Editions of the American Joint Committee on Cancer Staging System

BACKGROUND

The American Joint Committee on Cancer (AJCC) staging system has limited accuracy in predicting survival of gastric cancer patients with inadequate counts of evaluated lymph nodes (LNs). We therefore aimed to develop a prognostic nomogram suitable for clinical applications in such cases.

METHODS

A total of 1511 noncardia gastric cancer patients treated between 1990 and 2010 in the academic surgical center were reviewed to compare the 7^th and 8^th editions of the AJCC staging system. A nomogram was developed for the prediction of 5-year survival in patients with less than 16 LNs evaluated (n = 546). External validation was performed using datasets derived from the Polish Gastric Cancer Study Group (n = 668) and the SEER database (n = 11,225).

RESULTS

The 8th edition of AJCC staging showed better overall discriminatory power compared to the previous version, but no improvement was found for patients with < 16 evaluated LNs. The developed nomogram had better concordance index (0.695) than the former (0.682) or latest (0.680) staging editions, including patients subject to neoadjuvant treatment, and calibration curves showed excellent agreement between the nomogram-predicted and actual survival. High discriminatory power was also demonstrated for both validation cohorts. Subsequently, the nomogram showed the best accuracy for the prediction of 5-year survival through the time-dependent ROC curve analysis in the training and validation cohorts.

CONCLUSIONS

A clinically relevant nomogram was built for the prediction of 5-year survival in patients with inadequate numbers of LNs evaluated in surgical specimens. The predictive accuracy of the nomogram was validated in two Western populations.

UICC Staging after Neoadjuvant/Perioperative Chemotherapy Reveals No Significant Survival Differences Compared to Primary Surgery for Locally Advanced Gastric Cancer

Background: The applicability of UICC TNM staging for gastric cancer (GC) patients treated with neoadjuvant chemotherapy (nCTX) and surgery was not yet analyzed in comparison to patients undergoing primary surgery (PS). The purpose of this analysis was to analyze if the prognostic impact of TNM staging after nCTx is comparable with PS. Methods: Data for patients having been treated for GC with or without nCTx between 1990 and 2016 were analyzed. Uni-(URA) and multivariable regression analyses (MRA) were performed to identify predictors. Survival according to the UICC 8th edition stages was analyzed by the Kaplan−Meier method and cox regression analysis. Propensity score matching (PSM) was performed to balance for confounders. Results: 1149 patients with GC were eligible for primary analysis. URA demonstrated age (p < 0.0001), tumor localization (p < 0.0001), clinical UICC-stage, complications, UICC stage 0, IIB-IIIC, Lauren subtype, grading, and R-stage to be significantly associated with OS. MRA revealed that age, distal tumor localization, more than 25 dissected lymph nodes, UICC stage 0, IIB-IIIC, and Lauren subtype were significantly and independently related to OS. After PSM, survival analyses revealed only a significant difference for pN2/ypN2 (p = 0.03), while all other T and N stages were comparable. Conclusion: UICC dependent survival stages do not change significantly after nCTx treatment for GC. Therefore, UICC staging in its present version is applicable to patients undergoing nCTx.

The Role of Surgery in the Management of Gastric Cancer: State of the Art

Surgery still represents the mainstay of treatment of all stages of gastric cancer (GC). Surgical resections represent potentially curative options in the case of early GC with a low risk of node metastasis. Sentinel lymph node biopsy and indocyanine green fluorescence are novel techniques which may improve the employment of stomach-sparing procedures, ameliorating quality of life without compromising oncological radicality. Nonetheless, the diffusion of these techniques is limited in Western countries. Conversely, radical gastrectomy with extensive lymphadenectomy and multimodal treatment represents a valid option in the case of advanced GC. Differences between Eastern and Western recommendations still exist, and the optimal multimodal strategy is still a matter of investigation. Recent chemotherapy protocols have made surgery available for patients with oligometastatic disease. In this context, intraperitoneal administration of chemotherapy via HIPEC or PIPAC has emerged as an alternative weapon for patients with peritoneal carcinomatosis. In conclusion, the surgical management of GC is still evolving together with the multimodal strategy. It is mandatory for surgeons to be conscious of the current evolution of the surgical management of GC in the era of multidisciplinary and tailored medicine.

Prognostic values of the gross volume of metastatic lymph nodes in patients with esophageal squamous cell carcinoma treated with definitive concurrent chemoradiotherapy

Purpose

We aim to explore whether the gross volume of metastatic lymph nodes (GTVnd) and the gross volume of primary tumor (GTVp) could be prognostic factors for esophageal squamous cell carcinoma (ESCC) patients treated with definitive concurrent chemoradiotherapy (dCCRT).

Methods

We retrospectively analyzed 252 ESCC patients treated with dCCRT in the era of intensity-modulated radiation therapy (IMRT) at our institution. The cut-off value for the GTVnd derived from the restricted cubic splines (RCS) was determined. Univariate and multivariate Cox proportional hazard models were performed to determine the association between GTVnd and prognosis. we performed recursive partitioning analysis (RPA) method using GTVnd to develop a new risk stratification (TGTVndM). Moreover, the linear trend χ2, likelihood ratio χ2, and akaike information criterion (AIC) were used to determine the prognostic value between the TNM and TGTVndM staging systems.

Results

The five-year overall survival (OS) rate was 30.6%, with a median follow-up of 38 months. The cut-off value of GTVnd determined by the RCS was 4.35 cm3. GTVnd≥4.35 cm3 was an independent and significant negative prognostic factor for OS (HR=1.949, P&lt;0.001), progression free survival (PFS) (HR=1.425, P=0.048), and distance metastasis free survival (DMFS) (HR=2.548, P=0.001). In multivariable analysis, gender, clinical T stage, and GTVnd were independently associated with OS. RPA segregated patients into 3 prognostic groups: high risk (T1-4 GTVnd≥4.35, n=126, III stage), intermediate risk (T4 GTVnd&lt;4.35,n=38,II stage), and low risk(T1-3GTVnd&lt;4.35, n=88, I stage). The 5-year OS(P&lt;0.001), PFS (P=0.002), and DMFS (P=0.001) were significantly worse in high-risk group in comparison with the intermediate and low risk groups. Compared with the TNM staging system, the clinical T stage combined with GTVnd (TGTVndM) had a higher linear trend χ2 (26.38 versus 25.77), higher likelihood ratio χ2 (24.39 versus 20.69), and lower AIC (1255.07 versus 1260.06).

Conclusions

GTVnd may serve as a good prognostic factor in predicting distant metastasis and death for ESCC patients treated with dCCRT. The TGTVndM staging system demonstrated superior accuracy for predicting OS and could serve as a more effective prognostic guidance for unresectable ESCC patients.

PN3b as an independent risk factor for poor prognosis and peritoneal recurrence in Borrmann type IV gastric cancer: A retrospective cohort study

BACKGROUND

The clinicopathological features and surgical treatment strategies of Borrmann type IV gastric cancer (GC) remain controversial. Peritoneal metastasis is the most common recurrence pattern in patients with Borrmann type IV GC.

METHODS

Among 2026 gastric cancer between January 2009 and August 2019, 159 cases of Borrmann type IV GC were included in this study (7.8%). We retrospectively analyzed the clinicopathological characteristics and prognosis of these patients. Univariate and multivariate Cox proportional hazards were applied to identify independent prognostic factors. Predictors related to peritoneal metastasis of type IV GC were analyzed by multivariate Cox regression analysis.

RESULTS

Borrmann type IV gastric cancer was associated with more advanced clinicopathological features at diagnosis than the other Borrmann type GC. Of the 159 patients with Borrmann type IV GC, the median OS was 23 months. The number of patients with peritoneal metastasis was 43, accounted for 27.0% of all the patients and 87.8% of the patients with distant metastasis. Multivariate analyses revealed lymph node metastasis to be independent prognostic factor for survival in Borrmann type IV GC patients. pN3b and tumor size > 50 mm showed to be risk factors for peritoneal metastasis.

CONCLUSIONS

Borrmann type IV GC is an important independent prognostic factor. pN3b is an independent prognostic factor and a predictor of peritoneal metastasis in patients with Borrmann type IV GC.

Body Mass Index and Prognosis of Patients With Stage II/III Gastric Cancer After Curative Gastrectomy: Completion of Perioperative Adjuvant Chemotherapy May Be a Confounding Factor

Objective

To investigate the association between body mass index (BMI) and overall survival (OS) of patients with stage II/III gastric cancer (GC) after radical gastrectomy, and evaluate the potential influence of perioperative adjuvant chemotherapy (PAC).

Methods

Medical records of 2,510 consecutive stage II/III GC patients who underwent curative resection between November 2010 and December 2020 were retrospectively reviewed. The optimal cutoff value of BMI for OS was determined by X-tile. The independent predictive factors for completeness of PAC were identified using univariate and multivariate logistic regression analyses. Cox regression analyses assessed the association among BMI, completeness of PAC, and OS.

Results

Of the 2,510 patients, 813 cases with BMI < 20.3 kg/m² were classified as belonging in the low BMI group. Further analyses confirmed that low BMI was an independent predictor for incomplete PAC (< 6 cycles, n = 920) and poorer OS (hazard ratio: 1.317, 95% confidence interval: 1.162-1.494, P < 0.001), but neo-adjuvant chemotherapy (NAC) was a protective factor. An additive effect was found in those with both low BMI and incomplete PAC, as they had even worse OS. However, in patients with low BMI, completion of PAC (≥ 6 cycles) significantly improved OS, which became comparable to that in the high BMI group (P = 0.143).

Conclusions

Low preoperative BMI independently affects completion of PAC and prognosis of patients with stage II/III GC, but completing PAC can compensate for the adverse influence of low BMI on OS. Thus, strategies designed to ensure the completion of PAC, such as NAC and nutritional support, should be further investigated.

New index combining multiple inflammation‐based prognostic scores for predicting the prognosis of gastric cancer patients

Background and Aim

Several inflammation‐based scores have prognostic value for patients diagnosed with various cancers. However, using only a single inflammation‐based prognostic score may be unreliable, as the cut‐off values and relative usefulness among various inflammation‐based prognostic scores vary. We established a new combined index of four inflammation‐based prognostic scores, namely the neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, prognostic index, and prognostic nutritional index, and assessed its usefulness to predict the prognosis of gastric cancer.

Methods and Results

We reviewed the data of 635 patients who underwent surgical resection for gastric cancer. We calculated the combined index as the total value of each of the four included inflammation‐based prognostic scores and analyzed the relationship between the combined index and postoperative prognosis of gastric cancer. The new combined index was represented as a value between 0 and 6 in each patient. The Kaplan–Meier survival curves showed that patients whose combined index was 0 had good long‐term outcomes, while the prognosis of patients whose combined index ranged from 4 to 6 was poor.

Conclusion

This new combined index was strongly associated with poor prognosis in patients who underwent surgery for gastric cancer. It is inferred that it can predict patient prognosis after surgical resection for gastric cancer with a stronger correlation and clearer stratification than a single inflammation‐based prognostic score.

Revisiting the 8th AJCC system for gastric cancer: A review on validations, nomograms, lymph nodes impact, and proposed modifications

Gastric cancer is the fifth most frequently diagnosed cancer worldwide, behind breast, lung, colorectal, and prostate cancers. In gastric cancer, multimodality treatment shows prospective benefits and also improves survival. Surgery, however, is the mainstay of curative treatment. The staging of gastric cancer patients is critical for harmonization of care. Accurate stages assure that informed clinical decisions are timely made. The American Joint Committee on Cancer (AJCC) staging system is the most widely applied system in to determine the disease's prognosis and survival prediction. The recently adopted 8th AJCC TNM staging system has been revised to enhance its survival predictive power. Subsequent studies have established the validity of the current edition, demonstrating improved stage stratification, discriminatory power, and survival prediction. However, other studies have cast doubt on the superiority of the new edition. Innovations aimed at further improving its prognosis have resulted in developing of novel models. Advances in our understanding of the tumor microenvironment and molecular categorization of cancer have resulted in proposals for their inclusion in TNM staging as potential complementary factors that enhance survival prediction and prognostic assessment ability. The purpose of this study is to conduct a review of the published literature regarding the validity of the 8th AJCC TNM staging system, proposed modifications, and nomograms.

•

The 8th AJCC is valid in prognostic stratification of gastric cancer, however, revisions are still required.

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The yPT staging requires some modifications and inclusion of stages that currently don't exist in the 8th AJCC.

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High lymph nodes count and anatomical localization improve the prediction ability of the current AJCC.

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Nomograms comprising of individual prognostic factors are crucial to the current AJCC.

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Molecular markers positively influence survival prediction of gastric cancer.

Comparison of the sixth, seventh, and eighth editions of the American Joint Committee on Cancer Tumor-Node-Metastasis staging system for gastric cancer: A single institution experience

In 2018, the eighth edition of the American Joint Committee on Cancer Tumor-Node-Metastasis classification and staging system was implemented. Few reports were made comparing the performance of different editions of the American Joint Committee on Cancer (AJCC) system. Therefore, this study aimed to examine the prognostic predictability from the sixth to the eighth editions of the AJCC staging system for gastric cancer.A total of 414 patients with gastric cancer who underwent surgery at Changhua Christian Hospital from January 2007 to December 2017 were enrolled in the study. To identify the prognostic factors for gastric cancer death, univariate and multivariate analyses were performed. The homogeneity and discrimination abilities of the sixth to eighth editions of the staging system were compared using the likelihood ratio chi-square test, linear trend chi-square test, and Akaike information criterion.The sixth edition of the staging system had the lowest Akaike information criterion value, suggesting a better prognostic stratification than other editions. From the result of the likelihood ratio chi-square test, the T and N staging systems of the seventh and eighth editions had better homogeneity and discriminatory ability than the sixth edition. The eighth edition had better prognostic performance in patients at stage III compared with the seventh edition.The AJCC seventh and eighth editions had improved prognostic predictability of the T and N factors compared with the sixth edition. However, the overall staging performance of the eighth edition is not superior compared to the sixth edition. Further studies with larger sample size should be conducted to compare the performance of different editions of the AJCC staging system for different ethnic populations.

Clinical value of energy spectrum curves of dual-energy computer tomography may help to predict pathological grading of gastric adenocarcinoma

BACKGROUND

To explore the clinical value of energy spectrum curves of dual-energy computer tomography (CT) in quantitative evaluation of different pathological grades of gastric adenocarcinoma.

METHODS

A total of 62 patients with 36 poorly, 25 moderately and 1 well differentiated gastric adenocarcinomas confirmed pathologically were collected. Dual-energy CT plain and enhanced scanning were undergone before operation. Dual-Energy software was used to measure the slope of the energy spectrum curves (λ) in arterial and venous phases (VPs) after image reconstruction. Patients were divided into two groups according to the pathological results, including well and moderately differentiated gastric adenocarcinoma group and poorly differentiated gastric adenocarcinoma group. Data of each group were analyzed by independent sample t-test. Receiver operating characteristic curve (ROC) was used to evaluate the diagnostic efficiency of the corresponding parameters.

RESULTS

There were significant differences in λ values of 40-50, 40-60, 40-80, 40-90, 40-100, 40-120, 40-130, 40-140 and 40-150 keV energy ranges in VP between the well and moderately differentiated group and poorly differentiated group (P<0.05), but no significant differences in λ values of different energy ranges in arterial phase (AP) between the two groups (P>0.05). And the area under curve in 40-120 keV energy range was the largest in VP. λ_40-120keV=2.69 was selected as the diagnostic threshold with the maximum Youden index, the sensitivity and specificity were 61.1% and 76%, respectively.

CONCLUSIONS

The energy spectrum curve of dual-energy CT had certain diagnostic value in the quantitative evaluation of pathological grading of gastric adenocarcinoma.

Impact of the 8th edition of the AJCC TNM classification on gastric cancer prognosis-study of a western cohort

Introduction

The 8th edition of the American Joint Committee on Cancer (AJCC) TNM classification for gastric cancer introduced changes, mainly in stage III, with the incorporation of the pN3 sub-classification in the final staging group. The goal was to compare the 7th and 8th editions to evaluate the discriminative capacity of the new edition.

Methods

This study was a retrospective review of patients with gastric cancer treated with surgery in 2013 and 2014.

Results

We analysed 310 patients, with a median age of 66 years and out of which 55.5% were male. The most commonly performed surgery was subtotal gastrectomy (n = 158; 51%), with a median of 30 lymph nodes removed. With a median follow-up of 39.5 months, the 1- and 3-year overall survival (OS) was 82% and 59%, respectively. In stage III (n = 115), there was stage migration in 40 cases (34.8%), with upstage in 11 cases and downstage in 29 cases. In this group, there was a statistically significant difference in OS between N3a and N3b patients (p = 0.002), as well as a statistically significant difference in OS between stages IIIA, IIIB and IIIC when the 8th edition was applied (p = 0.001), which was not verified with the 7th edition (p = 0.057). In multivariate analysis, both extracapsular extension and N classification from TNM were independent prognostic factors (p = 0.033 and p = 0.024, respectively).

Conclusion

The 8th edition of the AJCC TNM classification allows for a better prognostic refinement, namely in the new stage III groups after the stratification of lymph node disease in N3a and N3b. Factors that evaluate the biological behaviour of the disease remain excluded from this edition, such as extracapsular extension, which had a prognostic impact in our series.

Comparison of Inflammation-Based Prognostic Scores Associated with the Prognostic Impact of Adenocarcinoma of Esophagogastric Junction and Upper Gastric Cancer

BACKGROUND

Several inflammation-based prognostic scores have a prognostic value in patients with various cancers. This study investigated the prognostic value of various inflammation-based prognostic scores in patients who underwent a surgery for adenocarcinoma of the esophagogastric junction (AEG) and upper gastric cancer (UGC).

METHODS

We reviewed data of 206 patients who underwent surgery for AEG and UGC. We calculated neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), Glasgow Prognostic Score (GPS), modified GPS (mGPS), C-reactive protein (CRP)/albumin (Alb) ratio, prognostic index (PI), and prognostic nutritional index (PNI) and analyzed the relationship between these biomarkers and postoperative prognosis.

RESULTS

In multivariate analyses for overall survival, mGPS (P = 0.0337, hazard ratio [HR] = 5.211), PI (P = 0.0002, HR = 21.20), and PNI (P < 0.0001, HR = 6.907) were identified as independent predictive factors. A multivariate analysis for recurrence-free survival showed that only PI (P = 0.0006, HR = 11.89) and PNI (P = 0.0002, HR = 4.972) were independent predictive factors among the above-mentioned inflammation-based prognostic scores.

CONCLUSIONS

In various inflammation-based prognostic scores, PI and PNI were more strongly associated with poor prognosis in patients who underwent surgery for AEG and UGC.

Proposal of a novel subclassification of pN3b for improvement the prognostic discrimination ability of gastric cancer patients

INTRODUCTION

In the recent edition of TNM staging system, pN3b gastric cancer were separated into the staging system for better prognosis accuracy. The definition of pN3b contains a large range of metastasis lymph nodes (mLNs). However, few studies have evaluated the prognosis of pN3b patients and it remains unknown whether these patients were reasonably assigned into the same substage.

MATERIALS AND METHODS

A total of 642 pN3b patients from a multi-institutional cohort in China were included. Disease-specific survival (DSS) was estimated using the Kaplan-Meier method and the Cox proportional hazards regression analysis was used to identify the independent prognostic factors. Restricted cubic spine model was used to specify the association between the continuous variables and the logarithm Hazard ratios (HRs). The optimal cut-off value of mLNs for DSS was identified using the X-tile software.

RESULTS

The 5-year DSS rate of total pN3b cohort was 15.4%. The smooth curves showed a non-linear association between the mLNs and the logarithm HRs. All pN3b gastric cancer patients were divided into two subclassifications (pN3b1: 16-24 mLNs, pN3b2: ≥25 mLNs). Significant survival difference was observed between two subclassifications (P = 0.048). Additionally, more LNs examined could decrease the death risk of pN3b patients and bring survival benefit only in pN3b1 patients, but not in pN3b2 patients.

CONCLUSIONS

We proposed a novel subclassification of pN3b patients, which assigned patients into two subclassifications with significant survival difference. Future study should explore the prognosis value based on this novel subclassification in TNM staging system.

Topographic lymph node staging system shows prognostic superiority compared to the 8th edition of AJCC TNM in gastric cancer. A western monocentric experience

INTRODUCTION

The current Tumor Node Metastasis staging system (TNM) for gastric cancer classifies the extent of lymph node metastasis based upon the number of lymph nodes involved. Choi et al. have recently proposed a new anatomical classification based upon the regionality of the involved nodes. This new classification seems to have a better predictive prognostic value than the traditional one. We investigated the prognostic role of the new anatomical based classification, reviewing our institutional gastric cancer database.

METHODS

We performed a retrospective chart review of 329 patients who underwent gastrectomy at our Institution from 2003 to 2017. We excluded from data analysis any patient with distant metastases at the time of first diagnosis and or surgery, pathology other than adenocarcinoma, lymphadenectomy less than D2, impossibility to identify location of lymph nodes (LNs) on pathological report and neoadjuvant chemotherapy. The extent of D2 lymphadenectomy was defined according to Japanese Gastric Cancer Association criteria. LN metastasis were reclassified into three topographic groups (lesser, greater curvature, and extraperigastric nodes) and staged according to Choi. The new N stage was combined with the current pT according to the 8th edition of TNM and a new hybrid TNM stage was established. All patients were followed up until June 2019. The prognostic performance of the new stage and of the current anatomical numeric based system (TNM) was analyzed and assessed by the C-index, AIC and likelihood ratio χ² value.

RESULTS

In predicting both Overall Survival (OS) and Disease free Survival (DFS) the new N stage and the new TNM staging system had the highest C-index and likelihood ratio χ2 value and the lowest Akaike Information Criterion (AIC), showing a better accuracy and displaying a better prognostic performance.

CONCLUSIONS

Our study is the first from the Western world to compare the new hybrid classification, based on the anatomical location of metastatic nodes, to the 8th of American Joint Committee on Cancer (AJCC) TNM staging system. Our findings on a small, monocentric sample suggest that hybrid topographic lymph node staging system is more accurate than TNM.

Long-Term Survival after Minimally Invasive Versus Open Gastrectomy for Gastric Adenocarcinoma: A Propensity Score-Matched Analysis of Patients in the United States and China

BACKGROUND

This study aimed to compare the long-term survival of patients undergoing minimally invasive gastrectomy and those undergoing open gastrectomy for gastric adenocarcinoma (GA) in the United States and China.

METHODS

Data on patients with GA who underwent gastrectomy without neoadjuvant therapy were retrieved from prospectively maintained databases at Memorial Sloan Kettering Cancer Center (MSKCC) and Fujian Medical University Union Hospital (FMUUH). Using propensity score-matching (PSM), equally sized cohorts of patients with similar clinical and pathologic characteristics who underwent minimally invasive versus open gastrectomy were selected. The primary end point of the study was 5-year overall survival (OS).

RESULTS

The study identified 479 patients who underwent gastrectomy at MSKCC between 2000 and 2012 and 2935 patients who underwent gastrectomy at FMUUH between 2006 and 2014. Of the total 3432 patients, 1355 underwent minimally invasive gastrectomy, and 2059 underwent open gastrectomy. All the patients had at least 5 years of potential follow-up evaluation. Before PSM, most patient characteristics differed significantly between the patients undergoing the two types of surgery. After PSM, each cohort included 889 matched patients, and the actual 5-year OS did not differ significantly between the two cohorts, with an OS rate of 54% after minimally invasive gastrectomy and 50.4% after open gastrectomy (p = 0.205). Subgroup analysis confirmed that survival was similar between surgical cohorts among the patients for each stage of GA and for those undergoing distal versus total/proximal gastrectomy. In the multivariable analysis, surgical approach was not an independent prognostic factor.

CONCLUSIONS

After PSM of U.S. and Chinese patients with GA undergoing gastrectomy, long-term survival did not differ significantly between the patients undergoing minimally invasive gastrectomy and those undergoing open gastrectomy.

Multi-institutional validation of the 8th AJCC TNM staging system for gastric cancer: Analysis of survival data from high-volume Eastern centers and the SEER database

BACKGROUND

The clinical relevance and general applicability of the 8th American Joint Committee on Cancer TNM gastric cancer staging system vs the 7th version have not been examined using datasets from both the East and West.

METHODS

Patients (n = 29 984) treated for gastric adenocarcinoma at two high-volume centers (Severance Hospital [SH] and Gangnam Severance Hospital [GSH]) in Korea and data from the Surveillance, Epidemiology, and End Results (SEER) database were retrospectively analyzed. Survival curves, the performance of tumor staging, and the homogeneity of modified subgroups were compared.

RESULTS

Minute changes were noted in the stage IIB subgroup; most changes were noted in stage III. Applying the 8th staging system facilitated better prediction of survival than applying the 7th version for SH data according to the log-rank test, C-index, and AIC (8444.5 vs 9263.8, 0.796 vs 0.798, and 104152 vs 103909, respectively). Its performance was also superior for GSH and SEER data. In a subgroup analysis of stages IIB to IIIC in SH, GSH, and SEER data, the 8th staging system showed similar or more homogeneous survival for each sub-classification than the 7th version.

CONCLUSION

Compared with the 7th gastric cancer staging system, the newer version more accurately predicted prognosis and stratified subgroups more homogeneously.

A novel TNM staging system for gastric cancer based on the metro-ticket paradigm: a comparative study with the AJCC-TNM staging system

BACKGROUND

The metro-ticket prognostic tool for hepatocellular carcinoma has been proven to predict outcome, but a similar concept has not been investigated for GC. The objective of the current study was to apply the principles of the metro-ticket paradigm to develop a novel TNM staging system (nTNM) for gastric cancer (GC).

METHODS

The nTNM considered the distance from the origin on a Cartesian plane incorporating the pN (x-axis) and pT (y-axis) stages. GC patients undergoing radical resection at Fujian Medical University Union Hospital (FMUUH) (n = 4267) were included. The nTNM was validated using 2 external cohorts from the Sun Yat-sen University Cancer Center (SYSUCC) (n = 1800) and Surveillance, Epidemiology, and End Results (SEER) (n = 3227) databases.

RESULTS

nTNM classes with the same distance from the origin have same stage; the stage increases with this distance. Among all patients, 48.0% (n = 2049) were restaged in the nTNM compared with the 7th edition of the AJCC-TNM classification; 26.2% (n = 1116) were downstaged in the nTNM compared with the 8th edition. The nTNM provides significant survival differences between stages (all P < 0.001). The survival difference between stages IB and IIA was especially large for the nTNM (P < 0.001) compared to the 7th and 8th editions (P = 0.073). The concordance index and hazard ratio increased successively with the nTNM stage. Similar findings were observed in both external cohorts.

CONCLUSION

Compared with the AJCC-TNM classification, the nTNM for GC is easier to remember and provides some improvements; therefore, the nTNM may be considered for adoption in future editions of the AJCC-TNM classification.

Development and validation of a new staging system for node-negative gastric cancer based on recursive partitioning analysis: An international multi-institutional study

BACKGROUND

Whether the tumor-node-metastasis (TNM) staging system is appropriate for patients with node-negative gastric cancer (GC) is still inconclusive. The modified staging system developed by recursive partitioning analysis (RPA) showed good prognostic performance in a variety of cancers. The application of RPA has not been reported in the prognostic prediction of GC.

METHODS

Node-negative GC patients who underwent radical resection at Fujian Medical University Union Hospital (n = 862) and Sun Yat-sen University Cancer Center (n = 311) with at least 5 years of follow-up were selected as the training set. RPA was used to develop a modified staging system. Patients from the Surveillance, Epidemiology, and End Results database (n = 1415) were selected as the validation set.

RESULTS

The 5-year overall survival (OS) rates of patients with 8th AJCC-TNM stage IA-IIIA in the training set were IA 95.2%, IB 87.1%, IIA 78.3%, IIB 75.8%, and IIIA 72.6%. Multivariate analysis (MVA) showed that larger tumor size, elder age, and deeper depth of invasion were independent predictors for OS in patients with node-negative GC (all P < 0.05). Patients were reclassified into RPA I, RPA II, RPA III, and RPA IV stages based on RPA; the 5-year OS rates were 96.1%, 87.2%, 81.0%, and 64.3%, respectively, with significant difference (P < 0.05). Two-step MVA showed that the RPA staging system was an independent predictor of OS (P < 0.05). Compared with the 8th AJCC-TNM staging system, the RPA staging system had a smaller AIC value (2544.9 vs 2576.2), higher χ2 score (104.2 vs 69.6) and higher Harrell's C-index (0.697 vs 0.669, P = 0.007). The similar results were found in the validation set.

CONCLUSIONS

A new prognostic predictive system based on RPA was successfully developed and validated, which may be suggested for staging node-negative GC in future.

Defining the Role of Lymphadenectomy for Pancreatic Neuroendocrine Tumors: An Eight-Institution Study of 695 Patients from the US Neuroendocrine Tumor Study Group

BACKGROUND

Preoperative factors that reliably predict lymph node (LN) metastases in pancreatic neuroendocrine tumors (PanNETs) are unclear. The number of LNs needed to accurately stage PanNETs has not been defined.

METHODS

Patients who underwent curative-intent resection of non-functional PanNETs at eight institutions from 2000 to 2016 were analyzed. Preoperative factors associated with LN metastases were identified. A procedure-specific target for LN retrieval to accurately stage patients was determined.

RESULTS

Of 695 patients who underwent resection, 33% of tumors were proximal (head/uncinate) and 67% were distal (neck/body/tail). Twenty-six percent of patients (n = 158) had LN-positive disease, which was associated with a worse 5-year recurrence-free survival (RFS; 60% vs. 86%; p < 0.001). The increasing number of positive LNs was not associated with worse RFS. Preoperative factors associated with positive LNs included tumor size ≥ 2 cm (odds ratio [OR] 6.6; p < 0.001), proximal location (OR 2.5; p < 0.001), moderate versus well-differentiation (OR 2.1; p = 0.006), and Ki-67 ≥ 3% (OR 3.1; p < 0.001). LN metastases were also present in tumors without these risk factors: < 2 cm (9%), distal location (19%), well-differentiated (23%), and Ki-67 < 3% (16%). Median LN retrieval was 13 for pancreatoduodenectomy (PD), but only 9 for distal pancreatectomy (DP). Given that PD routinely includes a complete regional lymphadenectomy, a minimum number of LNs to accurately stage patients was not identified. However, for DP, removal of less than seven LNs failed to discriminate 5-year RFS between LN-positive and LN-negative patients (less than seven LNs: 72% vs. 83%, p = 0.198; seven or more LNs: 67% vs. 86%; p = 0.002).

CONCLUSIONS

Tumor size ≥ 2 cm, proximal location, moderate differentiation, and Ki-67 ≥ 3% are preoperative factors that predict LN positivity in resected non-functional PanNETs. Given the 9-23% incidence of LN metastases in patients without such risk factors, routine regional lymphadenectomy should be considered. PD inherently includes sufficient LN retrieval, while DP should aim to remove seven or more LNs for accurate staging.

Evaluation of the Eighth Edition of the American Joint Committee on Cancer TNM Staging System for Gastric Cancer: An Analysis of 7371 Patients in the SEER Database

OBJECTIVE

To investigate the validity of the 8th edition of the American Joint Committee on Cancer (AJCC) TNM staging system for gastric cancer.

METHODS

The clinicopathologic data of 7371 patients who were diagnosed with gastric cancer and had 16 or more involved lymph nodes (LNs) were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database and retrospectively reviewed.

RESULTS

Stage migration occurred primarily during stage III between the 7th and 8th edition TNM staging systems. Stages IIIB and IIIC in the 7th edition staging system were divided in the 8th edition and had obvious differences in survival rates (both P < 0.001). The 8th edition TNM stages IIIC and IV showed similar survival rates (P = 0.101). The prognosis of patients with T4aN3bM0 was not different from that of patients with TxNxM1 (P = 0.433), while the prognosis of patients with T4bN3bM0 was significantly poorer than that of patients with TxNxM1 (P = 0.008). A revised TNM system with both T4aN3bM0 and T4bN3bM0 incorporated into stage IV was proposed. Multivariable regression analysis showed that the revised TNM system, but not the 7th and 8th editions, was an independent factor for disease-specific survival (DSS) in the third step of the analysis. Further analyses revealed that the revised TNM system had superior discriminatory ability to the 8th edition staging system, which was also an improvement over the 7th edition staging system.

CONCLUSION

The 8th edition of the AJCC TNM staging system is superior to the 7th edition for predicting the DSS rates of gastric cancer patients. However, for better prognostic stratification, it might be more suitable for T4aN3bM0/T4bN3bM0 to be incorporated into stage IV in the 8th edition TNM staging system.

Proposed Modification of the 8th Edition of the AJCC Staging System for Gastric Cancer

Background: The American Joint Committee on Cancer (AJCC) staging system has been the standardized staging system for malignancies since the first edition in 1987. The 8th edition of gastric cancer was released in 2016, and is expected to be used in clinical practice in 2018. The aim of this study was to improve this new gastric cancer staging system. Methods: We conducted median overall survival analyses in a cohort of 8359 gastric cancer patients from the Surveillance, Epidemiology, and End Results (SEER) database (2004-2014) via Kaplan-Meier curves and log-rank tests, and proposed a modified staging system based on median OS. The concordance index (C-index) was conducted to evaluate the predictive accuracy. Results: Using the 8th AJCC staging system, the median OS of patients at the same stage varied widely between the different substages, especially in stage III. Despite the definitions of T, N, and M, substages in the modified staging system were regrouped based on median OS. The C-index of stage III patients with the modified staging system [0.579, 95% confidence interval (CI) 0.564-0.593] was higher than the 8th AJCC staging system (0.567, 95% CI 0.552-0.581). Moreover, we divided these patients into two groups according to their examined lymph node counts (≥15 or 1-14), and studied the effectiveness of the modified staging system in the two groups. Conclusions: The modified 8th AJCC staging system for gastric cancer proposed in this study generates better prognostic stratifications and may be evaluated for further update. Abbreviations:AJCCAmerican Joint Committee on CancerOSOverall SurvivalSEERSurveillance, Epidemiology, and End Results.

The prognostic value of a Surgical Outcome Risk Tool in patients after radical gastrectomy for gastric cancer and its guiding significance for postoperative chemotherapy

OBJECTIVE

To provide individualized survival predictors for patients after radical gastrectomy and to guide adjuvant treatment.

METHODS

The data of patients with gastric cancer treated in our department from January 1996 to December 2014 were analyzed retrospectively. A Surgical Outcome Risk Tool (SORT) was used to indicate the physical condition of the patients.

RESULTS

A total of 5327 patients in the study. The 5-year overall survival rates in the low-, moderate- and high-risk group were 61.6%, 54.7% and 44.4%, respectively (p < 0.001). A multivariate analysis showed that SORT was an independent prognostic factor for gastric cancer. There was significant chemotherapy benefit after surgery in stage II-III patients with a SORT<3 and in stage III patients with a SORT≥3 (p < 0.05). However, chemotherapy did not improve the 5-year overall survival in stage II patients with a SORT≥3 (62.4% vs. 48.3%, p = 0.196). The calculated difference between two nomogram models was the potential benefit of adjuvant chemotherapy for patients with gastric cancer.

CONCLUSION

A SORT is an independent risk factor for predicting the prognosis of gastric cancer, and postoperative adjuvant chemotherapy should be carefully adopted in stage II patients with a SORT≥3.

Severity and incidence of complications assessed by the Clavien-Dindo classification following robotic and laparoscopic gastrectomy for advanced gastric cancer: a retrospective and propensity score-matched study

BACKGROUND

Robot-assisted gastrectomy (RAG) has been increasingly used for the treatment of advanced gastric cancer (AGC), and many advantages over laparoscopy-assisted gastrectomy (LAG) have been reported. However, its postgastrectomy complications still under investigation and the results remain controversial. This study aimed to objectively assess the incidence and severity of complications following RAG vs. LAG using Clavien-Dindo (C-D) classification and to identify risk factors related to complications.

METHODS

Five hundred and twenty-seven patients with AGC who underwent RAG or LAG between January 2016 and May 2018 were enrolled in this study. Complications were categorized according to the C-D classification. The complications following RAG and LAG were compared using one-to-one propensity score matching (PSM) analysis and subgroup analyses. Logistic regression analyses were performed to identify risk factors related to complications.

RESULTS

RAG was performed in 251 patients (47.6%) and LAG in 276 patients (52.4%). Before PSM, the RAG group had a smaller tumour size (P = 0.004) and less patients with previous abdominal operation (P = 0.013). After PSM, a well-balanced cohort of 446 patients (223 in each group) was further analyzed. Of interest, the incidence of overall and severe complications (C-D grade ≥ IIIa) following the RAG group were significantly fewer than the LAG group (overall, 24.5% vs. 18.8%, P < 0.001; severe, 8.9% vs. 17.5%, P = 0.002). Subgroup analyses showed statistically significant difference were also observed in most stratified parameters. Multivariable analysis identified age ≥ 65 years, total gastrectomy, stage T3-T4a, stage II-III, and operation time ≥ 250 min as independent predictors of overall complications. Additionally, age ≥ 65 years, stage II-III, and operation time ≥ 250 min were confirmed as independent risk factors for severe complications.

CONCLUSIONS

RAG with D2 lymphadenectomy is feasible and safe for the treatment of AGC in terms of the lower incidence and severity of complications.

Assessment of the 8th edition of TNM staging system for gastric cancer: the results from the SEER and a single-institution database

AIM

To investigate whether the 8th edition of Tumor, Node, Metastasis (TNM) staging could properly evaluate the prognosis of gastric cancer patients.

METHODS

The prognostic performance between the 7th and 8th edition of TNM staging was compared and clinicopathologic features were analyzed.

RESULTS

The stage shifts in the 8th edition staging resulted in the increased numbers of stage IIIA patients and decreased numbers of stage IIB, stage IIIB and stage IIIC patients. Compared with the previous edition, the 8th edition of TNM staging provided a better prognostic stratification for stage III patients. However, whether it is reasonable to incorporate T4aN2, T4aN3a and T4bN3b into stage IIIA, stage IIIB and stage IIIC respectively, which still need further validation.

CONCLUSION

Despite the obvious superiority, several deficiencies may still exist in the new edition staging. To better provide prognostic information and therapeutic guidance for gastric cancer patients, the TNM staging system should be further improved in the future.

Comparison of the 8th union for international cancer control lymph node staging system for gastric cancer with two other lymph node staging systems

The log odds of positive lymph nodes (LODDS) and the metastatic lymph node ratio (MLR) staging systems have previously been demonstrated to exhibit advantages compared with the tumor-node-metastasis (TNM) staging system in predicting the prognosis of gastric cancer. The current study compared the prognostic significance of the newest Union for International Cancer Control Node classification with the LODDS and MLR staging systems. From September 2010 to December 2012, all medical records for patients with gastric cancer at the Third Affiliated Hospital of Soochow University were retrospectively analyzed and the clinicopathologic characteristics were reviewed. Cut-off points were selected to divide the patients with gastric cancer into different groups. Univariate and multivariate analyses were performed to identify the prognostic risk factors for gastric cancer. The Harrell's concordance index (C-index) was adopted to compare the prognostic value of the three staging systems. A total of 877 patients with gastric cancer who met the inclusion criteria were analyzed in the current study. The patients were classified according to the three MLR subgroups as follows: MLR0 (MLR=0), MLR1 (0<MLR≤0.28) and MLR2 (0.28<MLR<1). The patients were classified according to the LODDS subgroups as follows: LODDS1 (LODDS≤-0.5), LODDS2 (-0.5<LODDS≤0), LODDS3 (0<LODDS≤0.5) and LODDS4 (LODDS>0.5). Based on multivariate analysis, LODDS, MLR and pathological node (pN) stage could significantly predict survival rates of patients with gastric cancer. According to the C-index, the LODDS staging system more accurately predicted the 5-year overall survival for patients with gastric cancer compared with the other two staging systems. In summary, the current study has identified that LODDS may be superior to the MLR and pN staging systems in predicting the prognosis of patients with gastric cancer. However MLR may exhibit advantages compared with LODDS for patients who have undergone adequate lymphadenectomies.

MFSD2A expression predicts better prognosis in gastric cancer

Major facilitator superfamily domain containing-2A (MFSD2A) is reported to correlated with some tumors, but its clinical significance in gastric cancer (GC) is still unknown. The expression of MFSD2A and CD34 were examined on tissue microarrays of 170 set of GC and adjacent normal tissue (ANT) by immunohistochemistry. The relationship of MFSD2A with microvessel density (MVD) and clinicopathological characteristics was also investigated. MFSD2A expression is lower in GC tissue (35.3%) than in ANT (78.2%, P < 0.01). Mean MVD was higher in cancer tissue (49.7 ± 5.46) than in ANT (19.3 ± 2.19, P < 0.01), and higher in MFSD2A^- GC (56.5 ± 7.27), than in MFSD2A⁺ GC (24.8 ± 4.31, P < 0.01). MFSD2A expression was significantly higher in moderately/well differentiated GC (47.4%) than in poorly differentiated GC (25.0%, P < 0.01) and in early-stage GC (46.4%) than in advanced GC (27.7%, P = 0.012). Patients with MFSD2A⁺ specimens (n = 60) had significantly better prognoses than the MFSD2A^- group (n = 110; P < 0.0001). These results suggest that MFSD2A might affect angiogenesis and inhibit GC development and progression. MFSD2A may help predict prognosis and could be a therapeutic target in GC.

Comparison of the 7th and the 8th AJCC Staging System for Non-metastatic D2-Resected Lymph Node-Positive Gastric Cancer Treated with Different Adjuvant Protocols

PURPOSE

The purpose of this study was to compare prognostic differentiation performances of the 7th and the 8th edition of American Joint Commission on Cancer (AJCC) staging system for gastric cancer (GC) patients.

Materials and Methods

A total of 1,633 GC patients who underwent curative D2 resection followed by adjuvant chemotherapy alone (CA) or concurrent chemo-radiotherapy (CCRT) from 2004 to 2013 were included. Concordance index (c-index) was applied to compare the discriminatory ability.

RESULTS

In the 8th edition, migration of stage was detected in 248 patients (15.2%). Among them, 121 patients were up-staged while 127 patients were down-staged. Overall, there was no statistically significant difference in the discriminatory ability between the 7th and 8th editions. The new edition of staging system, however, showed a trend of better prognostic performance not only in recurrence-free survival (c-index=0.734; 95% confidence interval [CI], 0.706 to 0.762 in the 7th edition vs. c-index=0.740; 95% CI, 0.712 to 0.768 in the 8th edition; p=0.14), but also in overall survival (c-index=0.717; 95% CI, 0.688 to 0.745 in the 7th edition vs. c-index=0.722; 95% CI, 0.694 to 0.751 in the 8th edition; p=0.19), especially in stage III. This finding was repeated in the subgroup analysis regardless of adjuvant CA or CCRT.

CONCLUSION

Generally, the 8th edition of AJCC staging system had failed to show a superior discriminatory ability for curatively D2 resected GC patients than the 7th edition, although there was a trend of better prognostic performance of the new edition, regardless of adjuvant treatment method.

The Association Between Metabolic Syndrome and Gastric Cancer in Chinese

Background: Metabolic syndrome (MetS) play a carcinogenic role in variety of cancers and influence the prognosis of cancer patients both systemically and hormonally. Methods: The data of clinicopathologic features and MetS of 808 gastric cancer patients and 1,146 randomly healthy controls were analyzed retrospectively. Results: Higher TG level, lower HDL-C level and higher hypertension frequency were observed in all gastric cancer patients when compared with healthy controls. While, gastric cancer patients had greater waist circumference only in females. Among three definitions of MetS, the MetS identified by the Chinese Diabetes Society (CDS) was associated with the most significant increasing risk of gastric cancer. Comparing all gastric cancer patients with healthy controls, OR of gastric cancer was enhanced by various individual components of the MetS, including higher TG level, lower HDL-C level, hypertension and diabetes; In male subgroup, OR of gastric cancer was enhanced by higher BMI, hypertension and diabetes; In females, OR of gastric cancer was enhanced by lower HDL-C, hypertension and diabetes. MetS was associated with poor differentiated carcinoma, more advanced pathological T, N stage and TNM stage of gastric cancer. Conclusion: The presence of MetS and its components were increased in gastric cancer, especially in gastric cancer patients with poor differentiation and advanced stage, which implies that metabolic disorder may play an important role in the development of gastric cancer.

Superiority of the 8th edition of the TNM staging system for predicting overall survival in gastric cancer: Comparative analysis of the 7th and 8th editions in a monoinstitutional cohort

The present study was performed to evaluate the predictive capacity of the 8th edition vs. the 7th edition of the American Joint Committee on Cancer (AJCC) tumor-node-metastasis (TNM) staging system for overall survival (OS) of patients with gastric cancer. Data of eligible patients with gastric cancer in our institution between June 2004 and June 2014 were retrospectively reviewed. A total of 1,506 patients were followed up to July 2016, among whom 1,484 patients with complete stage information were included in the TNM staging analysis. A total of 339 (22.8%) patients presented stage migration, including 325 (21.9%) migrating to a lower tier and 14 (0.9%) to a higher tier. All patients with stage migration to a lower tier were in stage III, including 177 (54.5%) patients migrating from stage IIIB to IIIA, and 148 (45.5%) from stage IIIC to IIIB. Patients migrating from IIIB to IIIA yielded a median OS time and 5-year OS rate closer to those remaining in stage IIIA. Similarly, patients migrating from IIIC to IIIB yielded a median OS time and 5-year OS rate closer to those remaining in stage IIIB. The 7th edition of the staging system exhibited prognostic discrepancy in discriminating stage IIIA from IIIB on survival curves, which was improved in the 8th edition. The 8th edition had a better predictive capability of survival, as evidenced by a smaller value of -2log likelihood in the Cox proportional regression model (7th edition 4738.859 vs. 8th edition 4736.683). Therefore, the present study demonstrated that the 8th edition of the AJCC TNM staging system is superior to the 7th edition in predicting the OS of patients with gastric cancer.

Siewert III esophagogastric junction adenocarcinoma: does TNM 8th save us?

Siewert III cancers were classified as esophageal cancers by the TNM 7th edition (TNM7), while being defined as gastric cancers by the new TNM 8th edition (TNM8). Aim of this study was to compare previous and present TNM classifications of Siewert III. From 2000 to 2015, 309 patients with Siewert III adenocarcinoma were treated at ten high-volume centers, belonging to the GIRCG (Italian Research Group for Gastric Cancer). We retrospectively analyzed overall survival according to TNM classifications: gastric TNM8 was compared with either gastric TNM7 or esophageal TNM7. Median number of lymph nodes harvested was 31 (interquartile range 22-44). Agreement between gastric TNM7 and TNM8 was very good (weighted kappa 92.3%, IC 95% 90.3-94.1%). Accordingly, stage migration was observed in 54 of 309 patients (17.5%), with 12 patients upstaged (3.9%) and 42 downstaged (13.6%). Cox models including either gastric TNM7 or TNM8 achieved similar goodness-of-fit and c-index. Differences were much larger, when shifting from esophageal TNM7 to gastric TNM8: the agreement was much lower (weighted kappa 69.1%, 65.2-73.2%), with 196 of 309 patients (63.4%) downstaging. The corresponding Cox model presented the lowest goodness-of-fit and discrimination ability. Gastric TNM7 and TNM8 were largely superimposable, so that stage migration was minor and prognostic significance was similar. At variance, stage migration was substantial when shifting from esophageal TNM7 to TNM8. Moreover, survival models with esophageal TNM7 presented the worst goodness-of-fit and the lowest discrimination ability. This further supports placing Siewert III among gastric cancers, as done in TNM8.

External validation of a modified 8th AJCC TNM system for advanced gastric cancer: Long-term results in southern China

BACKGROUND

The 8th edition of AJCC TNM staging manual for gastric cancer (GC) has been validated by several studies. A modified staging system based on it and total harvested number of lymph nodes (LNs; cutoff: 30) is suggested to improve predictive capacities for advanced GC. This study is designed to validate the modified method using a single-center database in Southern China.

METHODS

Clinical data from 684 GC patients with stage II and III according to the 7th edition between 2001 and 2012 were reviewed. A modified staging system was applied to restage the cohort. The three staging systems were compared in terms of prognostic performance on long-term survival.

RESULTS

The median follow-up period of this cohort was 52 (range, 6-180) months, with a median 5-year overall survival rate of 52.4%. Stage migration was observed in 159 (23.2%) patients according to the 8th edition of TNM staging, and another migration was observed in 108 (15.8%) patients according to the modified TNM staging system. Compared with the modified staging system, both 7th and 8th edition of AJCC TNM staging systems did not prove survival concordance on stage IIIA (7th edition) and stage IIIC (8th edition) when <30 LNs were examined. The survival performance between two AJCC staging systems had no significant improvement (c-index, 0.607 vs. 0.609), with the best prognostic stratification obtained using the modified staging method (c-index, 0.631).

CONCLUSIONS

The modified staging system on basis of the 8th AJCC classification and the number of harvested LNs could provide an optimal predictive capacities for advanced gastric cancer.