Lymphadenectomy (LND) is a crucial component of the curative surgical treatment of gastric cancer (GC). The LND serves to both accurately stage the disease and offer therapeutic benefits. At the time of "curative-intent" gastrectomy, D2 LND is the optimal treatment for patients with locally advanced GC due to its survival benefits and acceptable morbidity. Mastery of the technical aspects of LND, especially D2, requires significant training, adequate case volume, and expertise. This review discusses key aspects of D2 LND, including its status as the standard treatment for locally advanced GC, definition and anatomic borders, technical details, and controversial topics such as splenic hilar dissection and omentectomy. The application of indocyanine green (ICG) fluorescence imaging to elucidate the drainage patterns of GC and to facilitate lymph node (LN) identification is briefly reviewed. Finally, GC standardization and centralization, including surgical treatment, are discussed.

The Lymph Node Ratio (LNR) index is the proportion of lymph nodes with present metastases to lymph nodes removed and examined. This is an additionally established parameter for predicting the prognosis of gastric cancer patients. The most popular cancer classification, TNM, describes only the number of affected lymph nodes. It can result in a negative overestimation of the prognosis of patients with gastric cancer if the number of nodes examined is relatively limited.

In this study, we retrospectively analyzed 194 patients diagnosed with gastric cancer operated on between 2017 and 2021 at the Clinical Department of Oncological Surgery, University Centre of General and Oncological Surgery of the University Clinical Hospital in Wroclaw. In total, 133 patients underwent gastrectomy with D2 lymphadenectomy and 61 remaining patients had the resection procedure abandoned due to an unresectable lesion. The LNR index was calculated based on histopathological examination, and postoperative complications were assessed using the Clavien-Dindo (C-D) scale. Statistical analysis was performed regarding the dependence of LNR on the following patient characteristics: sex, age, TNM features, tumor stage, tumor location, performed procedure, chemotherapy application, C-D complication rate, and survival rate.

The value of the LNR index significantly depends on TNM features (p < 0.05), clinical tumor stage (p < 0.05), and patient survival (p < 0.05), while no statistically significant relationship with C-D complication rate was demonstrated.

The LNR index is a relevant parameter in predicting prognosis and survival time in gastric cancer patients, but future studies on larger and differentiated groups of patients could further confirm its usefulness in the development of guidelines.

Current treatment for gastric cancer includes a multidisciplinary approach of systemic therapy and surgery. While retrospective, prospective, and randomized trials have demonstrated conflicting results on the need for extended lymphadenectomy, current guidelines dictate a recommendation for the retrieval of at least 16 lymph nodes to accurately stage patients. The "D1" lymph nodes along the major gastric and epiploic vessels may provide adequate lymph node harvest, though "D2" lymphadenectomy along the celiac axis and its branches may be necessary. Performing a distal pancreatectomy and splenectomy to maximize the D2 nodal harvest is not necessary and leads to increased morbidity.

Gastric cancer (GC) is a common malignant tumor of the digestive tract. Accumulating studies suggest that inflammation is linked with the pathogenesis of GC. The study delves into novel hematological inflammatory markers, such as systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and prognostic nutritional index (PNI), to explore their potential applications in early diagnosis of GC.

From October 2020 and August 2024, 1339 GC patients admitted to our hospital were enrolled in this study. The pre-treatment SII, SIRI, and PNI was calculated from peripheral blood samples. Univariate and multivariate logistic regression analyses were utilized to verify independent risk factors for patients, and constructed the nomograms. The correlation between hematological indicators and tumor-node-metastasis (TNM) stage was assessed through Spearman's analysis.

Eligible patients and healthy controls were grouped by gender. The diagnostic ability of PNI was significantly superior to other indicators to diagnose male GC (area under the curve [AUC]=0.908, 95% CI: 0.892-0.925) and female GC (AUC=0.890, 95% CI: 0.865-0.914). Besides, the combination of hematological indicators is more effective in diagnosing GC patients, especially for male patients (AUC=0.916, 95% CI: 0.901-0.932, sensitivity: 84.98%, specificity: 84.29%). The C-statistic of Nomogram model was 0.917 for males and 0.875 for females. In both male and female cohorts, CEA, SII, and SIRI were positively correlated with TNM stage, while PNI was negatively correlated. The AUC of CEA, SII, SIRI, and PNI combined for the diagnosis in the early stage of male GC patients was 0.897 (95% CI: 0.875-0.918, sensitivity: 86.57%, specificity: 80.30%) is higher than that of in the advanced stage (AUC: 0.745, 95% CI: 0.710-0.780, sensitivity: 56.53%, specificity: 82.86%).

The combined CEA, SII, PNI, and SIRI could be used as screening biomarkers in diagnosing GC, especially in the early stage of male GC patients.

The postoperative recurrence of gastric cancer (GC) has a significant impact on the overall prognosis of patients. Therefore, accurately predicting the postoperative recurrence of GC is crucial.

This retrospective study gathered data from 2813 GC patients who underwent radical surgery between 2011 and 2017 at two medical centers. Follow-up was extended until May 2023, and cases were categorized as recurrent or nonrecurrent based on postoperative outcomes. Clinical pathological information and imaging data were collected for all patients. A new deep learning signature (DLS) was generated using pretreatment computed tomography images, based on a pretrained baseline (a customized Resnet50), for predicting postoperative recurrence. The deep learning fusion signature (DLFS) was created by combining the score of DLS with the weighted values of identified clinical features. The predictive performance of the model was evaluated based on discrimination, calibration, and clinical usefulness. Survival curves were plotted to investigate the differences between DLFS and prognosis.

In this study, 2813 patients with GC were recruited and allocated into training, internal validation, and external validation cohorts. The DLFS was developed and assessed for its capability in predicting the risk of postoperative recurrence. The DLFS exhibited excellent performance with AUCs of 0.833 (95% CI: 0.809-0.858) in the training set, 0.831 (95% CI: 0.792-0.871) in the internal validation set, and 0.859 (95% CI: 0.806-0.912) in the external validation set, along with satisfactory calibration across all cohorts ( P >0.05). Furthermore, the DLFS model significantly outperformed both the clinical model and DLS ( P <0.05). High-risk recurrent patients exhibit a significantly poorer prognosis compared to low-risk recurrent patients ( P <0.05).

The integrated model developed in this study, focusing on GC patients undergoing radical surgery, accurately identifies cases at high-risk of postoperative recurrence and highlights the potential of DLFS as a prognostic factor for GC patients.

During gastric cancer resection, back table dissection (BTD) involves examination and separation of lymph node (LN) packets from the surgical specimen based on LN stations, which are sent to pathology as separately labeled specimens. With potential impact on clinical outcomes, we aimed to explore how BTD affects number of LNs examined.

A retrospective review of a gastric cancer database was performed, including all cases of gastrectomy with D2 lymphadenectomy from January 2009 to March 2022. Back table dissection and conventional groups were compared using Mann-Whitney U and Fisher's exact tests. Multiple linear regression modeling was used to identify potential predictors of number of LN examined.

A total of 174 patients were identified: 39 (22%) BTD and 135 (78%) conventional. More patients in the BTD group underwent neoadjuvant chemotherapy (62% vs 29%, P < .05). Compared to the conventional group, the BTD group had a greater number of LNs examined (42 [26-59] vs 21[15-33], median [IQR], P < .001), lower LN positivity ratio (.01 vs .07, P = .013), and greater number of LNs in patients with BMI >35 (32.5[27.5-39] vs 22[13-27], P = .041). A multiple linear regression model controlling for age, BMI, preoperative N stage, neoadjuvant chemotherapy, surgeon experience, and operative approach identified BTD as a significant positive predictor of number of LN examined (β = 19.7, P = .001).

Back table dissection resulted in improved LN yield during gastric cancer resection. As a simple technical addition, BTD helps enhance pathology examination and improve surgeon awareness, which may ultimately translate to improve oncologic outcomes.

This study aims to investigate the correlation between a novel integrated inflammatory marker: The inflammation-combined prognostic index (ICPI), combining NLR, PLR, and MLR, with the clinicopathological characteristics and overall survival (OS) of gastric cancer (GC).

Data from 876 patients with GC were retrospectively analyzed from January 1, 2017, to April 30, 2023. PSM was employed to mitigate confounding factors between groups. Receiver operating characteristic (ROC) curves were utilized to determine the optimal cutoff value. Univariate, LASSO, and multivariate regression analyses were executed. Subsequently, a nomogram for predicting OS was developed and validated.

The cohort with a poor prognosis exhibited significantly elevated levels of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and ICPI (P<0.001). Similarly, higher levels of NLR, PLR, MLR, and ICPI were associated with a poorer prognosis (P<0.001). Following regression analysis, ICPI, T-stage, lymph node ratio (LNR), and primary site were identified as independent risk factors affecting OS. A nomogram was constructed based on these factors to predict 1-, 3-, and 5-year OS, yielding C-indexes of 0.8 and 0.743 for the training and validation sets, respectively. The calibration curves demonstrated close alignment between predicted and actual results, indicating high predictive accuracy. Moreover, the decision curve underscored the practical utility of the model.

The new inflammatory parameter ICPI integrates NLR, PLR and MLR. The ICPI-based nomogram and web calculator accurately predict OS in patients with GC.

To explore the correlation between the tumour mutation burden (TMB) and prognosis and its clinical significance among patients with stage III gastric cancer (GC).

Patients with stage III GC were divided into a high TMB and low TMB group in both a study cohort of 38 patients and the Cancer Genome Atlas (TCGA) cohort of 173 patients. In the study cohort, next-generation sequencing was used to detect mutated GC genes and obtain TMB data. In the TCGA cohort, gene set enrichment analysis was performed, and the relationship between TMB, prognosis and clinicopathologic factors was analysed. Western blot and quantitative real-time polymerase chain reaction were used to detect the expression levels of both proteins and genes. Cell viability was measured using methyl thiazolyl tetrazolium and transwell cell assays.

Patients in the high TMB group had better overall survival (OS) rates than patients in the low TMB group for both cohorts and TMB was associated with age, mutation signature 1 and mutation signature 17. The Cox regression analysis revealed that age, not TMB, was an independent prognosis factor. Furthermore, genes with high-frequency mutations were significantly enriched in the RTK-RAS and Notch signalling pathways. The activation of these pathways was lower in the high TMB compared with the low TMB group, and the proliferation and migration abilities of GC cells showed a similar pattern in both TMB groups.

Patients in the high TMB group had better OS rates than patients in the low TMB group. Genes with high-frequency mutations were significantly enriched in the RTK-RAS and Notch pathways. Hence, TMB could serve as a prognosis biomarker with potential clinical significance.

To explore the value of the features of lymph nodes (LNs) with a short-axis diameter ≥6 mm in predicting lymph node metastasis (LNM) in advanced gastric adenocarcinoma (GAC) based on dual-energy CT (DECT) radiomics.

Data of patients with GAC who underwent radical gastrectomy and LN dissection were retrospectively analyzed. To ensure the correspondence between imaging and pathology, metastatic LNs were only selected from patients with pN3, nonmetastatic LNs were selected from patients with pN0, and the short-axis diameters of the enrolled LNs were all ≥6 mm. The traditional features of LNs were recorded, including short-axis diameter, long-axis diameter, long-to-short-axis ratio, position, shape, density, edge, and the degree of enhancement; univariate and multivariate logistic regression analyses were used to establish a clinical model. Radiomics features at the maximum level of LNs were extracted in venous phase equivalent 120 kV linear fusion images and iodine maps. Intraclass correlation coefficients and the Boruta algorithm were used to screen significant features, and random forest was used to build a radiomics model. To construct a combined model, we included the traditional features with statistical significance in univariate analysis and radiomics scores (Rad-score) in multivariate logistic regression analysis. Receiver operating curve (ROC) curves and the DeLong test were used to evaluate and compare the diagnostic performance of the models. Decision curve analysis (DCA) was used to evaluate the clinical benefits of the models.

This study included 114 metastatic LNs from 36 pN3 cases and 65 nonmetastatic LNs from 28 pN0 cases. The samples were divided into a training set (n=125) and a validation set (n=54) at a ratio of 7:3. Long-axis diameter and LN shape were independent predictors of LNM and were used to establish the clinical model; 27 screened radiomics features were used to build the radiomics model. LN shape and Rad-score were independent predictors of LNM and were used to construct the combined model. Both the radiomics model (area under the curve [AUC] of 0.986 and 0.984) and the combined model (AUC of 0.970 and 0.977) outperformed the clinical model (AUC of 0.772 and 0.820) in predicting LNM in both the training and validation sets. DCA showed superior clinical benefits from radiomics and combined models.

The models based on DECT LN radiomics features or combined traditional features have high diagnostic performance in determining the nature of each LN with a short-axis diameter of ≥6 mm in advanced GAC.

After radical surgery, early detection of recurrence and metastasis is a crucial factor in enhancing the prognosis and survival of patients with gastric cancer (GC). Therefore, assessing the risk of recurrence in gastric cancer patients and determining the timing for postoperative recurrence is crucial.

The clinicopathological data of 521 patients with recurrent gastric cancer, who underwent radical gastrectomy at Zhejiang Cancer Hospital between January 2010 and January 2017, were retrospectively analyzed. These patients were randomly divided into two groups: a training group (n = 365) and a validation group (n = 156). In the training set, patients were further categorized into early recurrence (n = 263) and late recurrence (n = 102) groups based on a 2-year boundary. Comparative analyses of clinicopathological features and prognoses were conducted between these two groups. Subsequently, a nomogram for predicting early recurrence was developed and validated.

In this study, the developed nomogram incorporated age, serous infiltration, lymph node metastasis, recurrence mode, and the tumour marker CA19-9. In the training cohort, the area under the curve (AUC value) was 0.739 (95% CI, 0.682-0.798), with a corresponding C-index of 0.739. This nomogram was subsequently validated in an independent validation cohort, yielding an AUC of 0.743 (95% CI, 0.652-0.833) and a C-index of 0.743. Furthermore, independent risk factors for prognosis were identified, including age, absence of postoperative chemotherapy, early recurrence, lymph node metastasis, abdominal metastasis, and vascular cancer embolus.

Independent risk factors for gastric cancer recurrence following radical surgery were utilized to construct a nomogram for predicting early relapse. This nomogram effectively assesses the risk of recurrence, aids in treatment decision-making and follow-up planning in clinical settings, and demonstrated strong performance in the validation cohort.

There is no scientific consensus about the treatment of perforated gastric cancer (PGC). Therefore, the aim of this study was to investigate which is the better treatment option for PGC between the single-stage and two-stage strategies.

All 81 PGC patients from 13 medical institutions were retrospectively enrolled in this study. The PGC patients who underwent R0 gastrectomy were divided into one-stage surgery and two-stage surgery groups. The clinicopathological characteristics of the two groups were compared, and 415 regular gastric cancer patients without perforation were randomly selected as a control. The propensity score matching (PSM) method was used to find matched regular GC patients with similar clinicopathological parameters. The OS (overall survival) and the number harvested lymph nodes from PGC patients and regular GC patients were compared.

Compared with PGC patients who underwent one-stage surgery, those who underwent two-stage surgery harvested significantly more lymph nodes [31(27, 38) vs 17 (12, 24), P < 0.001], required less blood transfusion [0 (0, 100) vs 200 (0, 800), P = 0.034], had a shorter ICU stay [0 (0, 1.5) vs 3 (0, 3), P = 0.009], and had a significantly better OS (Median OS: 45 months vs 11 months, P = 0.007). Compared with propensity score-matched regular GC patients without perforation, PGC patients who underwent one-stage gastrectomy had a poorer quality of lymphadenectomy [17 (12, 24) vs 29 (21, 37), P < 0.001] and suffered a worse OS (Median OS: 18 months vs 30 months, P = 0.024). Conversely, two-stage gastrectomy can achieve a comparable quality of lymphadenectomy (P = 0.506) and a similar OS (P = 0.096) compared to propensity score-matched regular GC patients.

For PGC patients in poor condition, two-stage treatment is a better option when D2 radical gastrectomy cannot be achieved in emergency surgery, based on our findings that two-stage gastrectomy could provide PGC patients with a better quality of lymphadenectomy and a better OS.

Background: Colorectal cancer (CRC) is one of the most common malignant tumors and has high morbidity and mortality rates. Previous studies have shown that TSPEAR mutations are involved in the development and progression of gastric cancer and liver cancer. However, the role of TSPEAR in CRC is still unclear. Methods: In The Cancer Genome Atlas (TCGA) database, 590 CRC patients with complete survival information were analyzed. We assessed TSPEAR expression in a pan-cancer dataset from the TCGA database. Cox regression analysis was performed to evaluate factors associated with prognosis. Enrichment analysis via the R package "clusterProfiler" was used to explore the potential function of TSPEAR. The single-sample GSEA (ssGSEA) method from the R package "GSVA" and the TIMER database were used to investigate the association between the immune infiltration level and TSPEAR expression in CRC. The R package "maftools" was used to explore the association between tumour mutation burden (TMB) and TSPEAR expression in CRC. CCK-8 assays and cell invasion assays were used to detect the effect of TSPEAR and TGIF2 on the biological behavior of CRC cells. Results: Pan-cancer analysis revealed that TSPEAR was upregulated in CRC tissues compared to normal tissues and that high TSPEAR expression was associated with poorer overall survival (OS) (p=0.0053). The expression of TSPEAR increased with increasing TNM stage, T stage, N stage, and M stage. The nomogram constructed with TSPEAR, age, and TNM stage showed better predictive value than TSPEAR, age, or TNM stage alone. Immune cell infiltration analysis revealed that high expression of TSPEAR was associated with lower immune cell infiltration. Tumor mutation burden (TMB) analysis indicated that high expression of TSPEAR was associated with lower TMB (p=0.005), and high TMB was associated with shorter OS (p=0.02). CCK-8 assays and cell invasion assays indicated that in vitro knockdown of TSPEAR inhibited the proliferation, migration, and invasion of CRC cells. In addition, TSPEAR expression may be regulated by the upstream transcription factor TGIF2. Conclusion: TSPEAR expression was higher in CRC tissues than in normal tissues. Its upregulation was significantly associated with a poor prognosis. Additionally, TSPEAR plays a significant role in tumor immunity and the biological behavior of CRC cells. Thus, TSPEAR may become a promising prognostic biomarker and therapeutic target for CRC patients.

Inflammatory markers such as neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and monocyte-to-lymphocyte ratio (MLR) are linked with the pathogenesis of gastric cancer (GC). However, the clinical significance of the combination of these markers is unclear. Hence, this study was carried out to determine the individual and combined diagnostic accuracy of NLR, PLR and MLR among patients with GC.

In this prospective, cross-sectional study, patients were recruited into three groups, GC, precancerous lesions and age and gender-matched controls. The primary outcome was to determine the diagnostic accuracy of inflammatory markers in the diagnosis of GC. The secondary outcome was to determine the correlation of inflammatory markers with the stage of gastric cancer, nodal involvement and metastasis.

A total of 228 patients, 76 in each group, were enrolled. The cut-off value of NLR, PLR and MLR were 2.23, 146.8 and 0.26, respectively, for the diagnosis of GC. The diagnostic abilities of NLR, PLR and MLR were significantly high at 79, 75 and 68.4, respectively, to predict GC compared to precancerous and control groups. All the models of inflammatory markers showed excellent discrimination between GC and the controls with an AUC > 0.7. The models also showed acceptable discrimination between GC and the precancerous lesion group with AUC between 0.65 and 0.70. No significant difference was found in correlating inflammatory markers with clinicopathological features.

The discrimination capacity of the inflammatory markers could be used as screening biomarkers in diagnosing GC, even in its early stages.

The 5-factor modified frailty index (mFI-5) evaluates frailty based on variables including functional status, diabetes, chronic obstructive pulmonary disease, congestive heart failure, and hypertension requiring medication. Despite its effectiveness in predicting surgical risk, the potential of mFI-5 as a predictor of long-term survival in patients with gastric cancer (GC) has not been investigated. This study aims to assess the prognostic significance of mFI-5 in patients with GC who have undergone curative-intent gastric resection. Among the 494 patients diagnosed with stage I to III GC, multivariate analysis revealed that age, tumor-node-metastasis (TNM) stage, geriatric nutritional risk index, mFI-5, and the type of gastrectomy were significant predictors for both overall survival (OS) and disease-free survival (DFS). We assessed 3 models: Baseline model (BM, TNM stage only), interim model (IM, all significant variables except mFI-5), and full model (FM, all significant variables including mFI-5). FM outperformed BM for OS (C-index 0.818 vs 0.683; P < .001) and DFS (C-index 0.805 vs 0.687; P < .001). Similarly, IM outperformed BM for OS (C-index 0.811 vs 0.683; P < .001) and DFS (C-index 0.797 vs 0.687; P < .001). Multiple metrics consistently supported the improved discriminative capacity of FM and IM compared to BM. However, while FM exhibits enhanced predictive capacity over IM, this improvement lacks statistical significance across key metrics. In conclusion, our study highlights the clinical significance of the mFI-5, along with age, TNM stage, geriatric nutritional risk index, and type of gastrectomy, as valuable predictors of long-term survival in GC patients. The FM consistently demonstrates enhanced predictive accuracy compared to the BM. However, it is important to note that while the FM improves predictive power over the IM, this enhancement does not achieve statistical significance across multiple metrics. These findings collectively emphasize the potential clinical value of the FM as a robust tool for surgeons in predicting long-term survival outcomes before surgery in patients with GC.

To investigate the effect of transarterial infusion chemotherapy on the prognosis of patients undergoing proximal radical gastrectomy for gastric cancer.

In this retrospective study, 96 patients with locally advanced proximal gastric cancer diagnosed in Gansu Cancer Hospital from July 2014 to July 2017 were enrolled. Among them, 40 patients undergoing surgery after 4 cycles of intravenous + oral chemotherapy and 2-4 cycles of adjuvant chemotherapy after surgery were grouped as the control group (CG); the remaining 56 patients treated with left gastric artery infusion chemotherapy were grouped as the observation group (OG). The clinical efficacy, surgical regimen, adverse reactions (nausea, vomiting, and bone marrow suppression) after chemotherapy, improvement of clinical symptoms, 5-year survival, 5-year progression-free survival (PFS) and overall response rate (ORR) after treatment were compared between the two groups. Cox regression was used to analyze prognostic factors affecting PFS.

Compared to the CG, the OG exhibited a significantly higher overall response rate and smaller tumor volume (P < 0.05 or P < 0.01); the overall incidence of clinical symptoms in the OG was lower (P < 0.05); the proportion of patients who underwent radical resection in the OG was significantly higher (P < 0.05); nausea and vomiting symptoms were more common in the OG (P < 0.05), but there was no statistical difference in terms of bone marrow suppression (P > 0.05); and the OG had significantly higher 5-year progression-free survival and survival time of patients (P < 0.05). Cox regression analysis revealed that tumor stage, tumor type and treatment regimen were independent prognostic factors for PFS (P < 0.01).

Regional arterial infusion chemotherapy is an ideal neoadjuvant therapy for gastric cancer, which can evidently reduce the tumor lesions in a short time, increase the resection rate, and significantly prolong the PFS of the patients. The gastrointestinal side effects are comparatively significant but tolerable.

Although tumor, node, metastasis (TNM) staging has been used for prognostic assessment of gastric cancer (GC), the prognosis may vary among patients with the same TNM stage. Recently, the TNM-Immune (TNM-I) classification staging system has been used for prognostic assessment of colorectal cancer based on intra-tumor T-cell status, which is a superior prognostic factor compared with the American Joint Committee on Cancer staging manual. However, an immunoscoring system with prognostic significance for GC has not been established.

Here, we evaluated immune phenotypes in cancer and normal tissues, then examined correlations between tissues and peripheral blood. GC patients who underwent gastrectomy at Seoul St. Mary's Hospital between February 2000 and May 2021 were included. We collected 43 peripheral blood samples preoperatively and a pair of gastric mucosal samples postoperatively, including normal and cancer mucosa, which did not influence tumor diagnosis and staging. Tissue microarray samples of GC were collected from 136 patients during surgery. We investigated correlations of immune phenotypes between tissues and peripheral blood using immunofluorescence imaging and flow cytometry, respectively. GC mucosa exhibited an increased number of CD4⁺ T cells, as well as increased expression levels of immunosuppressive markers (e.g., programmed death-ligand-1 [PD-L1], cytotoxic T lymphocyte antigen-4 [CTLA-4], and interleukin-10), in CD4+ T cells and non-T cells.

The expression levels of immunosuppressive markers were significantly increased in cancer tissues and peripheral blood mononuclear cells. In gastric mucosal tissues and peripheral blood of GC patients, similar immunosuppression phenotypes were observed, including increased numbers of PD-L1- and CTLA-4-positive T cells.

Therefore, peripheral blood analysis may be an important tool for prognostic assessment of GC patients.

Background: Gastric signet ring cell carcinoma (GSRCC) is a subset of gastric cancer with distinct histological and inconsistent prognosis outcome. Currently, the association between the adequate regional lymph node and proper nodal staging in GSRCC is rarely noticed. Materials and methods: Clinical data of GSRCC were retrieved from the Surveillance, Epidemiology, and End Results database. Beta-binomial distribution model was employed for the estimation of the probability of missing nodal disease, followed by the development of a nodal staging score (NSS). Results: A total of 561 GSRCC patients were included in this study, with 193 in lymph node-negative and 368 in lymph node-positive diagnoses. As the number of examined lymph nodes increased, the probability of missing nodal disease decreased rapidly, with T stage-specific curves. The probability of missing nodal disease in T4 was lower than that in T1. NSS calculation indicated that T1 stage patients commonly had NSS > 0.8. However, with the NSS of T2−T4 to reach 0.8, the number of examined lymph node was required to be larger than 12 in T2, 17 in T3 and 27 in T4. NSS ≥ 0.75 (quantile 75%) subgroup in T2−T4 subgroups tended to have better outcome; however, without significant prognostic value. Conclusions: NSS is served as a reliable and feasible tool in adequate nodal staging of GSRCC with statistical basis and provides further evidence for clinical decision making.