Overall Survival In Gastric Cancer Research Articles

IGFBP7 promotes gastric cancer by facilitating epithelial-mesenchymal transition of gastric cells

Gastric cancer (GC) with high morbidity and mortality is one major cause of tumor-related death. Mechanisms underlying GC invasion and metastasis remain unclear. IGFBP7 exerted variable effects in different cancers and its role in GC is controversial. Here, IGFBP7 was found to be upregulated and elevated IGFBP7 expression represented a poorer overall survival in GC using bioinformatics analysis. Moreover, IGFBP7 was up-regulated in human GC specimens and promoted tumor growth in xenograft tumor animals. For GC cell lines, we found that IGFBP7 was also upregulated and facilitated the cell malignant behavior and EMT of GC cells, which may involve NF-κB and ERK signaling pathways. This research may provide new avenues for GC therapy.

Analyzing the associations between tertiary lymphoid structures and postoperative prognosis, along with immunotherapy response in gastric cancer: findings from pooled cohort studies

BackgroundThe clinical significance of tertiary lymphoid structure (TLS) in gastric cancer (GC) was uncertain.MethodsA systematic search was performed in public databases for eligible studies as of April 2, 2023. Meta-analyses were performed to interrogate the associations between TLS levels and prognosis and immunotherapy response of GC. Bioinformatic analyses based on the nine-gene signature of TLS were further conducted to capture the biological underpinnings.ResultsEleven studies containing 4224 GC cases were enrolled in the meta-analysis. TLS levels positively correlated with smaller tumor size, earlier T stage and N stage. Moreover, higher TLS levels were detected in diffuse and mix subtypes of GC (P < 0.001). Higher TLS levels strongly predicted favorable postoperative overall survival of GC, with HR of 0.36 (95%CI 0.26–0.50, P < 0.001) and 0.55 (95%CI 0.45–0.68, P < 0.001) of univariate and multivariate Cox analysis, respectively. Higher TLS levels were also in favor of the treatment response of anti-PD-1 inhibitors as later-line therapy of GC. TLS levels positively correlated with immune effector cells infiltration, diversity and richness of T cell receptor and B cell receptor repertoire, immune checkpoint genes expression, and immune-related genes mutation of GC in the TCGA-STAD cohort, representing higher immunogenicity and immunoactivity. Moreover, moderate accuracy of TLS levels in predicting benefit from anti-PD-1 inhibitors in the PRJEB25780 cohort was also validated (AUC 0.758, 95%CI 0.583–0.933), higher than the microsatellite instability-score and Epstein-Barr virus status.ConclusionsTLS levels demonstrated potential in predicting the postoperative prognosis and immunotherapy response of GC.

Patient metabolic profile defined by liver and muscle 18F-FDG PET avidity is independently associated with overall survival in gastric cancer.

PET-CT-based patient metabolic profiling is a novel concept to incorporate patient-specific metabolism into gastric cancer care. Staging PET-CTs, demographics, and clinicopathologic variables of gastric cancer patients were obtained from a prospectively maintained institutional database. PET-CT avidity was measured in tumor, liver, spleen, four paired muscles, and two paired fat areas in each patient. The liver to rectus femoris (LRF) ratio was defined as the ratio of SUVmean of liver to the average SUVmean of the bilateral rectus femoris muscles. Kaplan-Meier and Cox-proportional hazards models were used to identify the impact of LRF ratio on OS. Two hundred and one patients with distal gastroesophageal (48%) or gastric (52%) adenocarcinoma were included. Median age was 65years, and 146 (73%) were male. On univariate analysis, rectus femoris PET-CT avidity and LRF ratio were significantly associated with overall survival (p < 0.05). LRF ratio was significantly higher in males, early-stage cancer, patients with an ECOG 0 or 1 performance status, patients with albumin > 3.5mg/dL, and those with moderately differentiated tumor histology. In multivariable regression, gastric cancer stage, albumin, and LRF ratio were significant independent predictors of overall survival (LRF ratio HR = 0.73 (0.56-0.96); p = 0.024). Survival curves showed that the prognostic impact of LRF was associated with metastatic gastric cancer (p = 0.009). Elevated LRF ratio, a patient-specific PET-CT-based metabolic parameter, was independently associated with an improvement in OS in patients with metastatic gastric cancer. With prospective validation, LRF ratio may be a useful, host-specific metabolic parameter for prognostication in gastric cancer.

Development and Validation of an Inflammation-Combined Prognostic Index (ICPI)-Based Nomogram for Predicting Overall Survival in Gastric Cancer.

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.

A predictive model and rapid multi-dynamic algorithm developed based on tumor-stroma percentage in gastric cancer: a retrospective, observational study.

Tumor-stroma percentage (TSP) is a prognostic risk factor in numerous solid tumors. Despite this, the prognostic significance of TSP in gastric cancer (GC) remains underexplored. Through the development of a personalized predictive model and a semi-automatic identification system, our study aimed to fully unlock the predictive potential of TSP in GC. We screened GC patients from Shanghai General Hospital (SGH) between 2012 and 2019 to develop and validate a nomogram. Univariate and multivariate Cox proportional hazards regression analyses were employed to identify independent prognostic factors influencing the prognosis for GC patients. The nomogram was further validated externally by using a cohort from Bengbu Medical College (BMC). All patients underwent radical gastrectomy, with those diagnosed with locally advanced GC receiving adjuvant chemotherapy. The primary outcome measured was overall survival (OS). The semi-automatic identification of the TSP was achieved through a computer-aided detection (CAD) system, denoted as TSP-cad, while TSP identified by pathologists was labeled as TSP-visual. A total of 813 GC patients from SGH and 59 from BMC were enrolled in our study. TSP-visual was identified as an adverse prognostic factor for OS in GC and was found to be associated with pathological Tumor Node Metastasis staging system (pTNM) stage, T stage, N stage, perineural invasion (PNI), lymphovascular invasion (LVI), TSP-visual, tumor size, and other factors. Multivariate Cox regression using the training cohort revealed that TSP-visual (hazard ratio [HR], 2.042; 95% confidential interval [CI], 1.485-2.806; P < 0.001), N stage (HR, 2.136; 95% CI, 1.343-3.397; P = 0.010), PNI (HR , 1.791; 95% CI, 1.270-2.526; P = 0.001), and LVI (HR, 1.482; 95% CI, 1.021-2.152; P = 0.039) were independent predictors. These factors were incorporated into a novel nomogram, which exhibited strong predictive accuracy for 5-year OS in the training, internal validation, and external validation cohorts (area under the curve = 0.744, 0.759, and 0.854, respectively). The decision curve analysis of the nomogram and concordance indexes across the three cohorts outperformed the traditional pTNM (P < 0.05). Additionally, TSP-cad assessment using a rapid multi-dynamic algorithm demonstrated good agreement with TSP-visual. The novel nomogram based on TSP could effectively identify individuals at risk of a poor prognosis among patients with GC. TSP-cad is anticipated to enhance the evaluation process of TSP.

Serum ferritin is associated with sarcopenia and predicts long-term survival for gastric cancer undergoing radical gastrectomy.

Gastric cancer (GC) is one of the most common malignant tumors, and its long-term overall survival (OS) still needs to be improved. This study aimed to elucidate the relationship between serum ferritin (SF) and sarcopenia and its ability to predict long-term OS for GC patients. Clinicopathological data from GC patients who underwent radical gastrectomy were reviewed and received 3 years of follow-up after surgery. The correlation between SF and sarcopenia was determined by Spearman analysis. Factors used to establish a nomogram to predict the 3-year OS for GC were identified by multivariate Cox hazard analysis. We retrospectively identified 372 GC patients after surgery and randomly divided (3:1) into a training cohort and a validation cohort. The correlation coefficient between SF and sarcopenia was 0.323. GC patients with SF < 151.5 μg/L had a significantly longer 3-year OS. The variables of the nomogram include SF, sarcopenia, TNM stage system, and neoadjuvant chemotherapy. In the training cohort and validation cohort, the area under the time-dependent ROC curve was 0.81 and 0.791, respectively. The calibration curve and decision curve in different cohorts have good consistency. 3-year OS was significantly different among the three groups (log-rank P < 0.001) divided by calculating the nomogram score. SF was positively correlated with sarcopenia, and the nomogram was a practical tool for predicting 3-year OS after radical gastrectomy, furthermore could be used to stratify the risk of 3-year OS in patients with GC.

The percentages of signet-ring cells (SRCs) affects the prognosis after radical gastrectomy for advanced gastric cancer.

Only recently has the percentage of signet-ring cells (SRCs) been shown to affect the prognosis following gastric cancer surgery. It is uncertain whether the SRC percentage has a role in tumour biology or prognosis of gastric signet-ring cell carcinoma (GSRCC). For this research, we assessed the effect of the SRC percentage on the clinicopathological and prognostic characteristics of gastric cancer (GC) tumours and created and verified a prognostic nomogram to assess the overall survival (OS) of GSRCC patients. In our study, 1100 GC patients with signet-ring cell carcinoma (SRCC) at Zhejiang Cancer Hospital from December 2013 to December 2018 who underwent curative gastric cancer resection were retrospectively analysed. The patients were separated into two groups: those with SRCC (SRC percentage >50%; n = 157) and those with partial signet-ring cell carcinoma (PSRCC) (SRC percentage ≤50%; n = 943). We compared the clinicopathological characteristics of both groups. To estimate OS and determine correlations with the SRC percentage, the Kaplan-Meier method and log-rank test were used. To develop the prognostic nomogram, independent prognostic indicators for OS were identified using Cox regression analyses. Predictions were assessed using the calibration curve and C-index. Our research showed that there was no discernible difference in OS between the two groups. The preoperative CA242 level, pT stage, pN stage, age, nerve invasion, neoadjuvant chemotherapy, postoperative chemotherapy, and maximum tumour diameter were independent prognostic risk factors for OS for GC (all p < 0.05). However, for advanced GC, the SRC percentage (HR = 1.571, 95% CI 1.072-2.302, p = 0.020) was an independent prognostic factor of OS. Other independent prognostic risk factors were age, pT stage, pN stage, nerve invasion, tumour location, neoadjuvant chemotherapy, postoperative chemotherapy, preoperative CA50 level, and preoperative CEA level (all p < 0.05). On these bases, nomograms were constructed for GC and advanced GC, with C-indexes of 0.806 (95%CI 0.782-0.830) and 0.728 (95%CI 0.697-0.759), respectively. In cases of advanced gastric cancer, the SRC percentage served as a standalone prognostic indicator for OS. An effective tool for assessing the prognosis of GSRCC was offered by the nomogram.

Liver metastasis affects progression pattern during immune checkpoint inhibitors monotherapy in gastric cancer.

The efficacy of immune checkpoint inhibitors (ICIs) is heterogeneous at each metastatic site, and tumor progression pattern is associated with survival; however, it remains unclear in gastric cancer (GC). Therefore, we aimed to clarify the progression pattern in response to ICIs in patients with GC, and we analyzed its mechanism focusing on the intratumoral immune cells. Patients who received ICIs were retrospectively classified into non-systemic and systemic progression groups based on their radiological assessments. Moreover, the best percentage change in target lesions from each organ was compared. Among 148 patients, the non-systemic progression group showed a significant improvement in overall survival (OS) compared with the systemic progression group (median, 5.6 months vs. 3.3 months; HR, 0.53; 95%CI, 0.32-0.89; p = 0.012). Poor performance status (HR, 1.73, 95%CI, 1.00-2.87) and systemic progression (HR, 3.09, 95%CI, 1.95-4.82) were associated with OS. Of all metastatic sites, the liver showed the poorest percentage change, and liver metastasis (OR, 2.99, 95%CI, 1.04-8.58) was associated with systemic progression. Hence, intratumoral CD8+ T-cell density was lower in patients with liver metastasis than in those without liver metastasis after ICIs, although the density of CD4+ T-cells (Th1, Th17, and Treg) and CD163+ cells (TAM) were not significantly different. The new progression pattern was associated with OS in GC. Liver metastasis may be a predictive factor of systemic progression during ICIs by regulating intratumoral CD8+ T-cells.

Nestin Expression and the Survival of Patients With Digestive Tract Cancers: A Systematic Review and Meta-Analysis.

Several cancers have been associated with poor prognoses based on nestin, a confirmed marker of cancer stem cells. However, there is conflicting evidence regarding the prognostic value of tumor nestin expression in patients with digestive tract cancers. An investigation of the association between nestin and survival in patients with digestive tract cancers was performed in this meta-analysis. Meta-analyses were conducted using PubMed, Embase, and Web of Science databases to search for cohort studies. We analyzed the data using a random-effects model that incorporates differences between studies. The pooled analysis showed a negative association between nestin expression and overall survival (hazard ratio: 1.38, 95% CI: 1.11 to 1.72, P = .004, I2 = 68%) and disease-free survival (hazard ratio: 1.48, 95% CI: 1.12 to 1.96, P = .005, I2 = 56%). Subgroup analysis showed that nestin expression was associated with poorer overall survival in gastric cancer (hazard ratio: 1.46, P < .001) and liver cancer (hazard ratio: 2.05, P < .001) patients, but not in colorectal cancer (hazard ratio: 1.03, P = .89) or pancreatic cancer (hazard ratio: 0.96, P = .80) patients. Further subgroup analysis showed a consistent association between nestin expression and poor overall survival in Asian and non-Asian studies, and in studies with univariate and multivariate regression models. To sum up, the presence of high nestin expression in digestive tract cancer patients is associated with poorer survival, particularly in patients with gastric and liver cancers.

Association of perioperative allogeneic blood transfusions and long-term outcomes following radical surgery for gastric and colorectal cancers: systematic review and meta-analysis of propensity-adjusted observational studies.

Previous meta-analyses reporting significant associations between perioperative allogeneic blood transfusions and poor prognosis in gastric cancer or colorectal cancer had a high risk of confounding bias. This meta-analysis explored this issue using observational studies that applied propensity score analysis. PubMed, Embase, and the Cochrane Central Register of Controlled Trials were searched for manuscripts published between 2013 and 2022. Studies applying propensity score analysis were included to investigate the association between perioperative allogeneic blood transfusions and prognosis in gastric cancer or colorectal cancer after radical surgery. Pooled HRs for overall survival and disease-free survival were calculated using a fixed-effect model or random-effect model according to heterogeneity. Twelve retrospective cohort studies with 17 607 patients reported were included. Ten studies applied propensity score matching and two applied inverse probability of treatment weighting using propensity score. A total of 5962 patients were analysed after propensity score adjustment. After propensity score adjustment, perioperative allogeneic blood transfusions did not correlate with disease-free survival in gastric cancer (HR 1.16; 95 per cent c.i. 0.96-1.39; heterogeneity was assessed by the chi-squared test and inconsistency index (I2) = 57 per cent) or colorectal cancer (HR 1.12; 95 per cent c.i. 0.84-1.49; I2 = 54 per cent). However, after propensity score adjustment, perioperative allogeneic blood transfusions were significantly associated with worse overall survival in gastric cancer (HR 1.20; 95 per cent c.i. 1.08-1.32; I2 = 25 per cent) and colorectal cancer (HR 1.40; 95 per cent c.i. 1.06-1.85; I2 = 52 per cent). Subgroup analyses showed that perioperative allogeneic blood transfusions did not correlate with overall survival in colorectal cancer when major postoperative complications were balanced after propensity score. Perioperative allogeneic blood transfusion is not correlated with recurrence of gastric cancer and colorectal cancer. Perioperative allogeneic blood transfusions are significantly associated with worse overall survival in gastric cancer and colorectal cancer, which may be attributable to unbalanced major postoperative complications after propensity score adjustment.

Exploring the Correlation Between GPR176, a Potential Target Gene of Gastric Cancer, and Immune Cell Infiltration.

GPR176, an orphan G protein-coupled receptor (GPCR), is essential for the progression of gastrointestinal cancers. However, it is still unclear how GPR176 affects tumor immunity and patient prognosis in gastric cancer (GC). The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were searched in this investigation to assess the expression patterns of GPR176 in GC tissues and normal gastric mucosa. The findings were further verified using immunohistochemical tests and quantitative Real-Time Polymerase Chain Reaction (qRT-PCR). The Kaplan-Meier method, univariate logistic regression, and Cox regression were then used to investigate the relationship between GPR176 and clinical traits. Additionally, the potential correlation between GPR176, immune checkpoint genes, and immune cell infiltration levels was investigated. As per the research findings, GC tissues had higher levels of GPR176 than normal tissues. Additionally, individuals with high expression of GPR176 had a worse 10-year overall survival (OS), in contrast with those having a low expression of GPR176 (p < 0.001). The OS of GC can be predicted using a validated nomogram model. The expression of GPR176 demonstrated a negative correlation with CD8+ T cells. When compared to the low-expression group of GPR176, Tumor Immune Dysfunction and Exclusion (TIDE) analysis demonstrated that the high-expression group had a considerably higher risk of immune evasion. A remarkable difference (variation) was observed in the levels of GPR176 expression across both groups, ie, low and high-risk groups, as determined by the immune phenomenon scores (IPS) immunotherapy assessment. By examining GPR176 from various biological perspectives, it was determined that GPR176 can act as a predictive biomarker for poor patient prognosis in GC. Additionally, it was observed that GPR176 is capable of suppressing the proliferation of CD8+ T cells and facilitating immune evasion.

FMO family may serve as novel marker and potential therapeutic target for the peritoneal metastasis in gastric cancer.

To explore the relationship between flavin-containing monooxygenases (FMOs) and peritoneal metastasis (PM) in gastric cancer (GC). TIMER 2.0 was used to perform pan-cancer analysis and assess the correlation between the expression of FMOs and cancers. A dataset from The Cancer Genome Atlas (TCGA) was used to analyze the correlation between FMOs and clinicopathological features of GC. PM is well established as the most common mode of metastasis in GC. To further analyze the correlation between FMOs and PM of GC, a dataset was obtained from the National Center for Biotechnology Information Gene Expression Omnibus (GEO) database. The results were validated by immunohistochemistry. The relationship between FMOs and PM of GC was explored, and a novel PM risk signature was constructed by least absolute shrinkage and selection operator (LASSO) regression analysis. The regression model's validity was tested by multisampling. A nomogram was established based on the model for predicting PM in GC patients. The mechanism of FMOs in GC patients presenting with PM was assessed by conducting Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses in TCGA and GEO datasets. Finally, the potential relationship between FMOs and immunotherapy was analyzed. The pan-cancer analysis in TCGA and GEO datasets showed that FMO1 was upregulated, while FMO2 and FMO4 were downregulated in GC. Moreover, FMO1 and FMO2 correlated positively with the T and N stage of GC in the TCGA dataset. FMO1 and FMO2 expression was a risk factor for GC (hazard ratio: 1.112 and 1.185). The overexpression of FMO1 was significantly correlated with worse disease-free-survival (DFS) and overall survival (OS). However, no relationship was found between FMO2 expression in GC and DFS and OS. PM was highly prevalent among GC patients and typically associated with a worse prognosis. FMO1 was highly expressed in GC with PM. FMO1 and FMO2 were positively correlated with PM in GC. We identified a 12-gene panel for predicting the PM risk signature by LASSO (Area Under Curve (AUC) = 0.948, 95%CI: 0.896-1.000). A 10-gene panel for PM prediction was identified (AUC = 0.932, 95%CI: 0.874-0.990), comprising FMO1 and FMO2. To establish a model for clinical application, a 7-gene panel was established (AUC = 0.927, 95% CI: 0.877-0.977) and successfully validated by multisampling. (AUC = 0.892, 95% CI: 0.878-0.906). GO and KEGG analyses suggest that FMO1 and FMO2 regulate the extracellular matrix and cell adhesion. FMO1 and FMO2 were positively correlated with the immune score of GC, and their expression was associated with the infiltration of immune cells. PM in GC is strongly correlated with FMOs. Overall, FMO1 and FMO2 have huge prospects for application as novel diagnostic and therapeutic targets.

Evaluation of the TXNIP gene expression in gastric adenocarcinoma and its relationship with overall survival of patients

Background. Gastric Cancer (GC) is a common gastrointestinal tumor, and its incidence is increasing. The pathogenesis of GC is very complex and remains unclear. Recent basic studies of GC have focused on gene expression dysregulation. Accumulating evidence has demonstrated that thioredoxin-interacting protein (TXNIP) is abnormally expressed in a variety of malignant tumors but it is obscure in GC. This study aimed to compare the expression of the TXNIP gene in cancerous and adjacent tissue of gastric cancer and evaluate its clinical significance in the prognosis and survival analysis of gastric cancer patients. Methods. A total of 50 tumor tissues and marginal non-tumor control tissues were obtained from GC patients. Also, TXNIP gene expression levels were evaluated by real-time PCR. Meanwhile, bioinformatic approaches were used to evaluate TXNIP expression in two different cohorts of GC patients. A data mining study was also performed to determine the prognostic role of TXNIP expression in the overall survival of GC. Furthermore, a pan-cancer analysis of TXNIP expression was performed using TCGA data. Results. The TXNIP gene was down-regulated in tumor samples with a fold change of 0.33, and the same results were repeated in bioinformatics analysis. Decreased expression of TXNIP was significantly associated with metastasis, poor differentiation, and drug abuse. Our results provided evidence that TXNIP gene expression level is positively correlated with the overall survival of GC patients. Pan-cancer analysis of TCGA data revealed down-regulated TXNIP in a variety of malignant tumors. Conclusion. This study established low TXNIP expression as a prognostic biomarker in GC. It also revealed that the decrease in TXNIP expression likely favors metastatic GC. Practical Implications. Evaluation of TXNIP expression is informative in the prognosis of GC patients.

Preoperative and postoperative prognostic factors effective on overall survival in gastric cancer

BACKGROUND: It is to investigate preoperative and postoperative prognostic factors on general survival in patients undergoing surgery due to gastric cancer.METHODS: Mersin University Medical Faculty Hospital between the years 2007-2015, 97 patients who underwent gastric cancer due to age, gender, preferences of patients and type of surgery (total gastrectomy subtotal) of the patients, histopathological diagnosis, tumor grade, tumor invasion, pathological stage, serum albumin levels, tumor markers, complete blood counts, and survival situations were recorded and retrospectively analyzed. From these data, neutrophil-lymphocyte ratio (NLR) and platellet-lymphocyte ratio (PLR) were calculated. The relationship of these results to postoperative survival was evaluated. IBM SPSS for Windows, version 17.0 was used for statistical tests.RESULTS: Of the patients included in the study, 28 (28.9%) were male and mean age were 62.1±13.4 years. When the patients were grouped according to the development of recurrence, recurrence was observed in 14 (14.4%) patients. TNM stage, depth of invasion, grade and platelet count were found to be significantly higher in patients who developed relapse. When the patients were grouped as 28 (28.7%) who developed mortality and 60 (71.3%) who did not develop mortality, TNM stage, depth of invasion and platelet count were significantly higher in the mortality group, similar to the patients who developed relapse, but tumor grade was not significant. When the parameters associated with the development of recurrence and mortality were evaluated, it was found that TNM stage, depth of invasion and increase in platelet count were associated with both recurrence and mortality, while NLR and PLR did not have a significant effect on mortality and recurrence.CONCLUSIONS: Although the inflammatory response plays an important role in many types of cancer, including gastric cancer, the ideal prognostic factors affecting mortality and overall survival at relapse have still not been clearly identified.

Lymphovascular or perineural invasion is associated with lymph node metastasis and survival outcomes in patients with gastric cancer.

Lymphovascular invasion (LVI) and perineural invasion (PNI) are associated with poorer prognosis in several human malignancies, but their significance in gastric cancer (GC) remains to be clearly defined. Our study aimed to investigate the prognostic value of LVI/PNI in patients with curative resected GC. Records of 1488 patients with stage I--III GC and 3327 patients with stage I-III colorectal cancer (CRC) were reviewed retrospectively, and difference in the incidence of LVI/PNI between GC and CRC was compared. Univariate and multivariate analyses were used to evaluate whether LVI/PNI was an independent risk factor for lymph node metastasis (LNM) and overall survival (OS) in GC. Patients with stage I-III GC had a significantly higher incidence of LVI/PNI than patients with stage I-III CRC (50.54% vs. 21.91%, p < 0.001). LVI/PNI was significantly associated with higher CEA, higher CA199, deeper tumor invasion, more lymph node metastasis, and advanced TNM stage in GC ( p < 0.05). Multivariate logistic regression analysis identified LVI/PNI (OR=2.64, 95%CI: 2.05-3.40, p < 0.001) as an independent risk factor for LNM in GC. The OS rate was significantly lower in the LVI/PNI-positive GC group than that in the LVI/PNI-negative GC group ( p < 0.001). On multivariate Cox regression analysis, LVI/PNI (HR=1.34, 95%CI: 1.04-1.71, p =0.023) was an independent prognostic factor for OS in GC. GC has a high incidence of LVI/PNI, which was closely associated with disease progression. LVI/PNI could serve as an independent risk factor for LNM and the prognosis of patients with curative resected GC. These findings will be helpful in predicting survival outcomes more accurately and establishing individualized treatment plans.

SPI1 Mediates N-Myristoyltransferase 1 to Advance Gastric Cancer Progression via PI3K/AKT/mTOR Pathway.

Gastric cancer (GC) is a common digestive tract malignancy worldwide. N-myristoyltransferase 1 (NMT1) has been implicated in many cancers, but its association with gastric cancer remains to be clarified. Thus, this paper elucidated the role of NMT1 in GC. The NMT1 expression level in GC and normal tissue samples as well as the relationship between NMT1 high or low expression and overall survival in GC was analyzed via GEPIA. GC cells were transfected with NMT1 or SPI1 overexpression plasmid and short hairpin RNA against NMT1 (shNMT1) or shSPI1. NMT1, SPI1, p-PI3K, PI3K, p-AKT, AKT, p-mTOR, and mTOR levels were detected through qRT-PCR and western blot. MTT, wound healing, and transwell assays were applied to test cell viability, migration, and invasion. The binding relationship of SPI1 and NMT1 was determined through a dual-luciferase reporter assay and chromatin immunoprecipitation. NMT1 was upregulated in GC, the high level of which connected with a poor prognosis. Overexpressed NMT1 elevated viability, migration rate, and invasion rate of GC cells, whereas NMT1 knockdown leads to the opposite results. Besides, SPI1 could bind to NMT1. Overexpressed NMT1 reversed the effects of shSPI1 on decreasing viability, migration, invasion, p-PI3K/PI3K, p-AKT/AKT, and p-mTOR/mTOR in GC cells, and NMT1 knockdown reversed the effects of SPI1 overexpression on increasing viability, migration, invasion, p-PI3K/PI3K, p-AKT/AKT, and p-mTOR/mTOR. SPI1 upregulated NMT1 to facilitate the malignant behaviors of GC cells through the PI3K/AKT/mTOR pathway.

The advanced lung cancer inflammation index is a prognostic factor for gastrointestinal cancer patients undergoing surgery: a systematic review and meta-analysis

BackgroundThe advanced lung cancer inflammation index (ALI) is a comprehensive assessment indicator that can reflect inflammation and nutrition conditions. However, there are some controversies about whether ALI is an independent prognostic factor for gastrointestinal cancer patients undergoing surgical resection. Thus, we aimed to clarify its prognostic value and explore the potential mechanisms.MethodsFour databases including PubMed, Embase, the Cochrane Library, and CNKI were used for searching eligible studies from inception to June 28, 2022. All gastrointestinal cancers, including colorectal cancer (CRC), gastric cancer (GC), esophageal cancer (EC), liver cancer, cholangiocarcinoma, and pancreatic cancer were enrolled for analysis. We focused on prognosis most in the current meta-analysis. Survival indicators, including overall survival (OS), disease-free survival (DFS), and cancer-special survival (CSS) were compared between the high ALI group and the low ALI group. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist was submitted as a supplementary document.ResultsWe finally included fourteen studies involving 5091 patients in this meta-analysis. After pooling the hazard ratios (HRs) and 95% confidence intervals (CIs), ALI was found to be an independent prognostic factor for both OS (HR = 2.09, I2 = 92%, 95% CI = 1.53 to 2.85, P < 0.01), DFS (HR = 1.48, I2 = 83%, 95% CI = 1.18 to 1.87, P < 0.01), and CSS (HR = 1.28, I2 = 1%, 95% CI = 1.02 to 1.60, P = 0.03) in gastrointestinal cancer. After subgroup analysis, we found that ALI was still closely related to OS for CRC (HR = 2.26, I2 = 93%, 95% CI = 1.53 to 3.32, P < 0.01) and GC (HR = 1.51, I2 = 40%, 95% CI = 1.13 to 2.04, P = 0.006) patients. As for DFS, ALI also has a predictive value on the prognosis of CRC (HR = 1.54, I2 = 85%, 95% CI = 1.14 to 2.07, P = 0.005) and GC (HR = 1.37, I2 = 0%, 95% CI = 1.09 to 1.73, P = 0.007) patients.ConclusionALI affected gastrointestinal cancer patients in terms of OS, DFS, and CSS. Meanwhile, ALI was a prognostic factor both for CRC and GC patients after subgroup analysis. Patients with low ALI had poorer prognoses. We recommended that surgeons should perform aggressive interventions in patients with low ALI before the operation.

Mutant pattern of p53 predicts local recurrence and poor survival rate in gastric cancer.

TP53 mutation is a poor prognostic factor for various organ malignancies such as colorectal cancer, breast cancer, ovarian cancer, hepatocellular carcinoma, lung adenocarcinoma and clinical pathologists previously evaluated it using immunohistochemistry for p53. The clinicopathologic significance of p53 expression in gastric cancer remains unclear due to inconsistent classification methods. Immunohistochemistry for p53 protein was performed using tissue microarray blocks generated from 725 cases of gastric cancer, and p53 expression was divided into three staining patterns using a semi-quantitative ternary classifier: heterogeneous (wild type), overexpression, and absence (mutant pattern). Mutant pattern of p53 expression had a male predominance, greater frequency in cardia/fundus, higher pT stage, frequent lymph node metastasis, local recurrence clinically, and more differentiated histology microscopically compared with wild type. In survival analysis, p53 mutant pattern was associated with worse recurrent-free survival and overall survival rates, and significance was maintained in subgroup analysis of early versus advanced gastric cancers. In Cox regression analysis, p53 mutant pattern was a significant predicting factor for local recurrence (relative risk (RR=4.882, p<0.001)) and overall survival (RR=2.040, p=0.007). The p53 mutant pattern remained significant for local recurrence (RR=2.934, p=0.018) in multivariate analyses. Mutant p53 pattern on immunohistochemistry was a significant prognostic factor for local recurrence and poor overall survival in gastric cancer.

Development of a postoperative nomogram to predict overall survival in gastric cancer using variables the AJCC recommends for collection and registration.

468 Background: The American Joint Committee on Cancer (AJCC) has increasingly recognized the need for individual risk prediction model for the era of tailored therapy. This study aimed to develop a postoperative gastric cancer nomogram for prediction of overall survival (OS). Methods: The nomogram was developed using data of 4,990 patients with primary gastric cancer who underwent macroscopically complete resection (residual tumor: R0 or R1) at Shizuoka Cancer Center (Shizuoka, Japan), and it was created with a multivariable Cox proportional hazard regression model. Fifteen pathological or host-related variables (age, sex tumor location, tumor size, macroscopic type, histology, depth (pT), number of positive nodes (pN), number of negative nodes, location of positive nodes, lymphovascular invasion, lavage cytology (CY), tumor margin, serum CEA and serum CA19-9) were collected. They are recommended to collect and register by the AJCC. The model was validated internally using measures of discrimination (Harrell’s C-index), calibration and decision curve analysis. A stage-specific subset survival analysis of the three risk groups (low, intermediate, high) calculated using the nomogram was performed. Results: In the development procedure, multivariable analysis for OS selected 11 variables for constructing the nomogram. The developed nomogram showed good discrimination, with a C-index of 0.812; that of the American Joint Committee on Cancer (AJCC) pathological stage was 0.756. The nomogram performed well in the calibration and decision curve analyses. A stage-specific subset survival analysis of the three risk groups calculated using the nomogram also showed the superiority of nomogram-prediction when compared to AJCC ordinal staging. Conclusions: This new postoperative risk model accurately predicts OS in gastric cancer and can be used for patient counseling in clinical practice and clinical trial eligibility determination.

Development and validation of a novel nomogram for predicting overall survival in gastric cancer based on inflammatory markers.

Nearly 66% of occurrences of gastric cancer (GC), which has the second-highest death rate of all cancers, arise in developing countries. In several cancers, the predictive significance of inflammatory markers has been established. To identify clinical characteristics and develop a specific nomogram to determine overall survival for GC patients. Nine hundred and four GC patients treated at the First Affiliated Hospital of Anhui Medical University between January 2010 and January 2013 were recruited. Prognostic risk variables were screened for Cox analysis. The C index, receiver operator characteristic (ROC) curve, and decision curve analysis were used to evaluate the nomogram. Tumor node metastasis stage, carcinoembryonic antigen, systemic immune-inflammation index, and age were identified as independent predictive variables by multivariate analysis. Systemic immune-inflammation index value was superior to that of other inflammatory indicators. The ROC indicated the nomogram had a higher area under the curve than other factors, and its C-index for assessing the validation and training groups of GC patients was extremely reliable. We created a novel nomogram to forecast the prognosis of GC patients following curative gastrectomy based on blood markers and other characteristics. Both surgeons and patients can benefit significantly from this new scoring system.