Inhibition of NF-κB signaling unveils novel strategies to overcome drug resistance in cancers.

Drug resistance in cancer remains a major challenge in oncology, impeding the effectiveness of various treatment modalities. The nuclear factor-kappa B (NF-κB) signaling pathway has emerged as a critical player in the development of drug resistance in cancer cells. This comprehensive review explores the intricate relationship between NF-κB and drug resistance in cancer. We delve into the molecular mechanisms through which NF-κB activation contributes to resistance against chemotherapeutic agents, targeted therapies, and immunotherapies. Additionally, we discuss potential strategies to overcome this resistance by targeting NF-κB signaling, such as small molecule inhibitors and combination therapies. Understanding the multifaceted interactions between NF-κB and drug resistance is crucial for the development of more effective cancer treatment strategies. By dissecting the complex signaling network of NF-κB, we hope to shed light on novel therapeutic approaches that can enhance treatment outcomes, ultimately improving the prognosis for cancer patients. This review aims to provide a comprehensive overview of the current state of knowledge on NF-κB and its role in drug resistance, offering insights that may guide future research and therapeutic interventions in the fight against cancer.

Elevated Controlling Nutritional Status (CONUT) Score is Associated with Poor Long-term Survival in Patients with Low-grade Soft-tissue Sarcomas Treated with Surgical Resection.

BACKGROUND: Several studies have examined the Controlling Nutritional Status (CONUT) score, which is a screening tool for nutritional status and an effective biomarker for patient survival after cancer treatment. However, its role in soft-tissue sarcoma (STS) remains unknown. Because of the lack of predictive markers for survival in patients with STS, we aimed to determine the CONUT score's association with survival. QUESTIONS/PURPOSES: (1) Is there a relationship between the CONUT score and clinicopathologic characteristics such as tumor size, tumor location, pathological grade, and advanced stage based on the American Joint Committee on Cancer (AJCC) guidelines? (2) Is the CONUT score associated with disease-free survival (DFS) and overall survival (OS) in patients treated surgically for STS, even when compared with other systemic inflammatory response markers? METHODS: Between 1999 and 2016, 769 patients underwent R0 resection for STS at our institution. Adequate medical records and available followup data were required for inclusion in this study. Exclusion criteria were synchronous inflammatory diseases, unplanned excision, and neoadjuvant therapy. There were 658 patients (86%) who fulfilled all criteria. The minimum followup time was 24 months (median, 103 months; range, 61-147 months). The median age of the patients was 43 years (range, 5-85 years), and 265 patients (40%) were women. All patients had Stage I to IV tumors according to the 8 edition of the AJCC staging system. The grade classification was determined to be G1 in 130 patients (20%), G2 in 304 (46%), and G3 in 201 (31%). The CONUT score was calculated based on the serum albumin concentration, total peripheral lymphocyte count, and total cholesterol concentration. The score ranged from 0 to 12, with higher scores indicating worse nutritional status. The patients were classified into two groups according to a receiver operating characteristic curve analysis: the high (≥ 2) and low (0 or 1) CONUT score groups. There were 435 patients in the low CONUT score group and 223 in the high CONUT score group. We tested for an association between the CONUT scores and gender, age, tumor diameter, tumor depth, tumor grade, and AJCC stage using the chi-square and Fisher's exact methods. We also compared the strength of the association between postoperative survival and the CONUT scores, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) using multivariate Cox proportional hazard model analyses. RESULTS: High CONUT scores were associated with large tumor size (odds ratio [OR], 1.47; 95% CI, 1.06-2.04; p = 0.020), deep tumor location (OR, 1.66; 95% CI, 1.17-2.36; p = 0.004), high tumor grade (OR, 2.54; 95% CI, 1.56-4.14; p = 0.001), and advanced AJCC stage (OR, 1.86; 95% CI, 1.14-3.02; p < 0.001). The low CONUT score group exhibited a higher 5-year OS rate and longer OS than the high CONUT score group (82% versus 65%; odds ratio, 2.45; 95% CI, 1.27-4.72; p < 0.001; 81 versus 64 months, Z = -2.56; p < 0.001). A multivariate analysis indicated that an elevated CONUT score was an independent predictor of OS (hazard ratio [HR], 1.86; 95% CI, 1.47-4.14; p < 0.001) and DFS (HR, 1.63; 95% CI, 1.26-2.11; p < 0.001), but the NLR and PLR were not. In an individual subgroup analysis, the CONUT scores were associated with OS and DFS in the tumor diameter (< 5 or ≥ 5 cm) subgroup, tumor depth (superficial or deep) subgroup, tumor grade (G1 and G2) subgroup, and AJCC stage (I/II or III/IV) subgroup, but not in the G3 subgroup (p = 0.051 and p = 0.065). CONCLUSION: High CONUT scores were independently associated with aggressive tumor behavior and unfavorable survival for patients with low-grade, but not high-grade, resected STS. If these findings can be substantiated in larger studies, the CONUT score might be useful for predicting survival and help to develop new treatment strategies for nutrition interventions. LEVEL OF EVIDENCE: Level III, therapeutic study.

Multi-omics analysis of the prognostic and biological role of cuproptosis-related gene in gastric cancer.

Background: A considerable number of gastric cancer (GC) patients cannot receive benefits from current treatments. We aimed to identify possible biomarkers of cuproptosis-related genes (CRGs) in GC patients, which may help guide precision medicine-based decision-making. Methods: RNA sequencing data, copy number variations (CNVs) data, and single nucleotide variant (SNV) data were obtained from The Cancer Genome Atlas (TCGA) database and Gene Set Cancer Analysis (GSCA) database. Chi-squared test was adopted to screen differentially expressed CRGs (DE-CRGs) between samples from 14 kinds of carcinoma and adjacent tissue samples. Then, GC samples were divided into high- and low-expressed groups based on DE-CRGs for further survival analyses and the selection of biomarkers. Methylation sites related with biomarkers were acquired. The correlation between immune cells and biomarkers was verified. Finally, miRNA-mRNA, TFs-mRNA, and co-expression networks were established to detect factors with regulating effects on biomarkers. Results: Three CRGs including LIAS, GLS, and CDKN2A were identified as biomarkers in GC patients. Three methylation sites with a significant survival effect including cg13601799, 07562918, and 07253264 were acquired. Then, we found that B cells native was significantly correlated with CDKN2A, four immune cells such as T cells regulatory are significantly correlated with GLS, and two immune cells such as T cells CD4 memory activated were significantly correlated with LIAS. Moreover, 10 miRNAs in the miRNA-mRNA network and three transcription factors (TFs) in the TFs-mRNA network had a significant correlation with overall survival (OS). Finally, 20 enrichment functions were obtained on the basis of the co-expression network. Conclusions: Three biomarkers with a prognosis prediction value of GC were found, and multi-factor regulatory networks were constructed to screen out 13 factors with regulating influences of biomarkers.

Angiotensin-converting enzyme 2 alleviates liver fibrosis through the renin-angiotensin system.

The present letter to the editor is related to the study titled 'Angiotensin-converting enzyme 2 improves liver fibrosis in mice by regulating autophagy of hepatic stellate cells'. Angiotensin-converting enzyme 2 can alleviate liver fibrosis by regulating autophagy of hepatic stellate cells and affecting the renin-angiotensin system.

Application of immune checkpoint inhibitors for resectable gastric/gastroesophageal cancer.

Gastric/gastroesophageal junction (G/GEJ) cancer represents a significant global health challenge. Radical surgery remains the cornerstone of treatment for resectable G/GEJ cancer. Supported by robust evidence from multiple clinical studies, therapeutic approaches, including adjuvant chemotherapy or chemoradiation, and perioperative chemotherapy, are generally recommended to reduce the risk of recurrence and enhance long-term survival outcomes post-surgery. In recent years, immune checkpoint inhibitors (ICIs) have altered the landscape of systemic treatment for advanced or metastatic G/GEJ cancer, becoming the standard first-line therapy for specific patients. Consequently, exploring the efficacy of ICIs in the adjuvant or neoadjuvant setting for resectable G/GEJ cancer is worthwhile. This review summarizes the current advances in the application of ICIs for resectable G/GEJ cancer.

Multiple cell-death patterns predict the prognosis and drug sensitivity of melanoma patients.

Background: Melanoma, a malignant tumor of the skin, presents challenges in its treatment process involving modalities such as surgery, chemotherapy, and targeted therapy. However, there is a need for an ideal model to assess prognosis and drug sensitivity. Programmed cell death (PCD) modes play a crucial role in tumor progression and has the potential to serve as prognostic and drug sensitivity indicators for melanoma. Methods: We analyzed 13 PCD modes including apoptosis, necroptosis, ferroptosis, pyroptosis, netotic cell death, entotic cell death, lysosome-dependent cell death, parthanatos, autophagy-dependent cell death, oxeiptosis, disulfidptosis, and alkaliptosis. These modes were used to construct a model that incorporated genes related to these 13 PCD modes to establish a cell death index (CDI) to conduct prognosis analysis. Transcriptomic, genomic, and clinical data were collected from cohorts including TCGA-SKCM, GSE19234, and GSE65904 to validate this model. Results: A CDI consisting of ten gene signatures was established using machine learning algorithms and divided into two groups based on CDI values. The high CDI group exhibited relatively lower numbers of immune-infiltrating cells and showed resistance to commonly used drugs such as docetaxel and axitinib. Our validation results demonstrated good discrimination in PCA analysis between CDI groups, and melanoma patients with higher CDI values had worse postoperative prognoses (all p < 0.01). Conclusion: The CDI model, incorporating multiple PCD modes, accurately predicts the clinical prognosis and drug sensitivity of melanoma patients.

Gastric Cancer Actively Remodels Mechanical Microenvironment to Promote Chemotherapy Resistance via MSCs-Mediated Mitochondrial Transfer.

Chemotherapy resistance is the main reason of treatment failure in gastric cancer (GC). However, the mechanism of oxaliplatin (OXA) resistance remains unclear. Here, we demonstrate that extracellular mechanical signaling plays crucial roles in OXA resistance within GC. We selected OXA-resistant GC patients and analyzed tumor tissues by single-cell sequencing, and found that the mitochondrial content of GC cells increased in a biosynthesis-independent manner. Moreover, we found that the increased mitochondria of GC cells were mainly derived from mesenchymal stromal cells (MSCs), which could repair the mitochondrial function and reduce the levels of mitophagy in GC cells, thus leading to OXA resistance. Furthermore, we investigated the underlying mechanism and found that mitochondrial transfer was mediated by mechanical signals of the extracellular matrix (ECM). After OXA administration, GC cells actively secreted ECM in the tumor microenvironment (TEM), increasing matrix stiffness of the tumor tissues, which promoted mitochondria to transfer from MSCs to GC cells via microvesicles (MVs). Meanwhile, inhibiting the mechanical-related RhoA/ROCK1 pathway could alleviate OXA resistance in GC cells. In summary, these results indicate that matrix stiffness could be used as an indicator to identify chemotherapy resistance, and targeting mechanical-related pathway could effectively alleviate OXA resistance and improve therapeutic efficacy.

The prognosis of gastric cancer patients with marginally elevated carcinoembryonic antigen (CEA) values after D2 radical gastrectomy.

AIM: To investigate the clinical significance of the postoperative serum carcinoembryonic antigen (CEA) levels in gastric cancer patients who underwent D2 radical gastrectomy and to identify the prognostic factors for patients with marginally elevated postoperative CEA levels. METHODS: We performed a retrospective study of 480 patients who were histologically diagnosed with gastric cancer and who underwent D2 radical surgery at the Sun Yat-sen University Cancer Center between January 2004 and December 2009. The follow-up lasted until June 2011. Chi-squared tests and Kaplan-Meier methods were employed to compare the adverse events and prognoses. RESULTS: In this group of gastric cancer patients, the postoperative serum CEA level (P = 0.002) was an independent prognostic factor; the same was true for the histological T and N staging (P < 0.001 and P = 0.045, respectively). In the group of marginally elevated postoperative CEA level gastric cancer patients, univariate analysis demonstrated that tumor position (P = 0.042); histological grade (P = 0.002); and Boarrmann type (P = 0.003) were significant prognostic factors. Multivariate analysis showed that the tumor position (P = 0.003) and histological grade (P = 0.007) were independent prognostic factors for these patients. CONCLUSION: Our study showed that patients with normal postoperative CEA levels have a better prognosis. Furthermore, for marginally elevated postoperative CEA level gastric cancer patients, the tumor position and histological grade were two important factors for predicting the prognosis and the need for aggressive therapy.

LAG3-PD1 or CTLA4-PD1 Inhibition in Advanced Melanoma: Indirect Cross Comparisons of the CheckMate-067 and RELATIVITY-047 Trials.

Objective: To compare the inhibition of LAG3-PD1 versus the inhibition of CTLA-4-PD1 in patients with previously untreated advanced melanoma. Methods: The individual participant data (IPD) were extracted from the KM plots using a graphical reconstructive algorithm. Log-rank, Cox proportional hazard model, Bayesian hierarchical model with time-varying hazard ratio (HR) effect, and restricted mean survival time (RMST) were performed to estimate survival benefits. Results: The CheckMate-067 (n = 630) and RELATIVITY-047 (n = 714) trials were included for analysis. The graphical reconstructive algorithm showed that IPD had similar HRs and log-rank values as the original plots. The HR of nivolumab plus relatlimab (LAG3 inhibitor) versus nivolumab plus ipilimumab (CTLA4 inhibitor) was 1.19 (95% confidence interval [CI] 0.96 to1.48). The 24-months RMST of nivolumab plus relatlimab versus nivolumab was 2.35 (95% CI 0.77-3.94) months, compared with 1.87 (95% CI, 0.25-3.49) months for nivolumab plus ipilimumab versus nivolumab. The Bayesian hierarchical model showed that patients treated with nivolumab plus relatlimab had earlier PFS benefits than those with nivolumab plus ipilimumab. Grade 3 or 4 treatment-related adverse events occurred in 18.9% of patients using nivolumab plus relatlimab and 55.0% of patients using nivolumab plus ipilimumab. Conclusions: These findings suggest that the PFS of LAG3-PD1 and CTLA4-PD1 inhibition were similar and LAG3-PD1 inhibition exhibited earlier survival benefit and lesser TRAEs.

Borrmann Type IV Gastric Cancer: Focus on the Role of Gastrectomy.

OBJECTIVES: The benefits of curative or palliative gastrectomy for Borrmann type IV (B-IV) gastric cancer remain controversial. This study was conducted to investigate whether or not gastrectomy could benefit prognosis of patients with Borrmann type IV gastric cancer. MATERIAL AND METHODS: A cohort of 469 B-IV gastric cancer patients from January 2001 to September 2017 was retrospectively reviewed. Survival analysis was used to investigate the prognosis of patients with or without gastrectomy. RESULTS: Among this cohort, the average age was 55 years and the median follow-up time was 12 months. One hundred and forty-six (31%) patients underwent curative resection, 187 (40%) patients underwent palliative resection, and the remaining 136 (29%) patients were judged unresectable. During the follow-up, a total of 294 (63%) patients died. Cox multivariate analysis showed that Tumor Node Metastasis (TNM) stage (p = 0.002), grade (p = 0.033), and gastrectomy (p < 0.001) were independent predictors of overall survival. Kaplan-Meier analysis revealed that, no matter in total group or subgroup stratified by tumor stage and grade, overall survival rates at 1 year, 2 years, and 5 years in patients with palliative resection were significantly worse than those in patients with curative resection (all p < 0.05), but significantly better than those in patients with no resection (all p < 0.05). CONCLUSIONS: Curative or palliative gastrectomy could increase the survival rate for B-IV gastric cancer patients. In the absence of alternative effective therapies, surgical resection remains a choice of improved survival or potential cure for B-IV gastric cancer.

Observational cohort study of clinical outcome in Epstein-Barr virus associated gastric cancer patients.

BACKGROUND: Epstein-Barr virus-associated gastric cancer (EBVaGC) has unique clinicopathologic features and our present understanding of its treatment outcome is limited. Here, we investigated the clinical outcomes of resectable and metastatic EBVaGC cases with regards to their respective treatment. METHODS: We retrieved the data of EBVaGC patients treated at our center from October 2014 to June 2019. The primary endpoint was overall survival (OS). Secondary endpoints were disease-free survival (DFS) for stage I-III patients, progression-free survival (PFS) and objective response rate (ORR) for stage IV patients. RESULTS: Patients classified as stage I-III accounted for 83.7% of the total 197 cases analyzed. Two patients had mismatched repair-deficiency. The 5-year OS rate of the entire cohort was 63.51% [95% (confidence interval (CI): 52.31-72.76%]. Tumor-node-metastasis (TNM) stage and gastric stump cancer were identified as independent prognostic factors for OS. The 3- and 5-year DFS rate for stage I-III patients were 83.72% (95% CI: 75.86-89.19%) and 73.83% (95% CI: 60.39-83.32%), respectively. TNM stage III, neural invasion, lymphovascular invasion, and baseline plasma EBV-DNA positive were correlated with shorter DFS. The ORR and disease control rate (DCR) for metastatic EBVaGC patients to first-line therapy were 29.0% and 90.3% (median PFS: 9.8 months), respectively, and to second-line therapy were 25.0% and 75.0%, respectively. Seven patients received anti-PD1 therapy and had an ORR of 28.5% and a median PFS of 2.8 months. CONCLUSIONS: EBVaGC patients have few metastases, long DFS, and high DCR. TNM stage and gastric stump cancer were independent prognostic factors for OS.

Classification of gastric cancer by EBV status combined with molecular profiling predicts patient prognosis.

PURPOSE: To identify how Epstein-Barr virus (EBV) status combined with molecular profiling predicts the prognosis of gastric cancer patients and their associated clinical actionable biomarkers. EXPERIMENTAL DESIGN: A next-generation sequencing assay targeting 295 cancer-related genes was performed in 73 EBV-associated gastric cancer (EBVaGC) and 75 EBV-negative gastric cancer (EBVnGC) specimens and these results were compared with overall survival (OS). RESULTS: PIK3CA, ARID1A, SMAD4, and PIK3R1 mutated significantly more frequently in EBVaGC compared with their corresponding mutation rate in EBVnGC. As the most frequently mutated gene in EBVnGC (62.7%), TP53 also displayed a mutation rate of 15.1% in EBVaGC. PIK3R1 was revealed as a novel mutated gene (11.0%) associated almost exclusively with EBVaGC. PIK3CA, SMAD4, PIK3R1, and BCOR were revealed to be unique driver genes in EBVaGC. ARID1A displayed a significantly large proportion of inactivated variants in EBVaGC. A notable finding was that integrating the EBV status with tumor mutation burden (TMB) and large genomic instability (LGI) categorized the tumors into four distinct molecular subtypes and optimally predicted patient prognosis. The corresponding median OSs for the EBV+/TMB-high, EBV+/TMB-low, EBV-/LGI-, and EBV-/LGI+ subtypes were 96.2, 75.3, 44.4, and 20.2 months, respectively. The different subtypes were significantly segregated according to distinct mutational profiles and pathways. CONCLUSIONS: Novel mutations in PIK3R1 and TP53 genes, driver genes such as PIK3CA, SMAD4, PIK3R1, BCOR, and ARID1A, and distinguished genomic profiles from EBVnGC were identified in EBVaGC tumors. The classification of gastric cancer by EBV, TMB, and LGI could be a good prognostic indicator, and provides distinguishing, targetable markers for treatment.

A better prognostic stratification for the 8th edition of the AJCC staging system of gastric cancer by incorporating pT4aN0M0 into stage IIIA.

INTRODUCTION: The aim of this study was to analyze the prognosis of gastric cancer patients categorized as pT4aN0M0, pT1N3aM0/pT2N2M0/pT3N1M0 of stage IIB and stage IIIA and to compare the optimistic prognostic stratification between the AJCC 8th edition staging system and the AJCC modified 8th (m8th) edition staging system by incorporating pT4aN0M0 into stage IIIA. MATERIAL AND METHODS: A total of 1770 patients who underwent gastrectomy were enrolled in this study. The homogeneity, the discriminatory ability, the monotonicity of the gradient assessments, and the discriminatory ability of the AJCC 8th and m8th edition staging systems were compared by using the likelihood ratio χ2 test, a linear trend χ2 test, the Akaike information criteria (AIC) and Bayesian information criterion (BIC) calculations, respectively. RESULTS: For patients staged IIB, the 5-year survival rate of the patients categorized as pT4aN0M0 were significantly worse than that of the patients categorized as pT1N3aM0/pT2N2M0/pT3N1M0 (59.9% vs. 72.4%, P = 0.036). By contrast, the prognoses of the patients between the pT4aN0M0 category and those staged IIIA were analogous (59.9% vs. 61.5%, P = 0.693). Compared with the 8th edition system, the modified 8th edition staging system had a better homogeneity (higher likelihood ratio χ [2] score, 441.17 vs. 436.24), discriminatory ability, monotonicity of gradients (higher linear trend χ2 score, 436.78 vs. 416.15) and smaller AIC (10364.98 vs. 10369.91) and BIC values (10447.13 vs. 10452.06). CONCLUSIONS: The prognosis of pT4aN0M0 was poorer than those of pT1N3aM0, pT2N2M0, and pT3N1M0, which were staged IIB. There is a better prognostic stratification for the AJCC 8th edition staging system of gastric cancer by incorporating pT4aN0M0 into stage IIIA.

Low Expression of CDK10 Correlates with Adverse Prognosis in Gastric Carcinoma.

Background: Cyclin-dependent kinase (CDK) 10, is reported to play an essential role in the progression from the G2 to M phase of the cell cycle. Recently, reduced expression of CDK10 has been observed in several cancerous human tissue, suggesting that CDK10 is a tumor suppressor gene. However, data on its expression pattern and clinical relevance in gastric cancer are not sufficient. Therefore, this study aims to investigate CDK10 expression and its prognostic significance in primary gastric adenocarcinoma. Methodology/Principal Findings: The expression level of CDK10 was analyzed using qRT-PCR, western blotting, and immunohistochemistry on tissue samples from 189 post-resection gastric cancer patients. The expression of CDK10 mRNA was reduced in tumor tissue samples compared with matched adjacent non-tumor tissue samples (P=0.013); this finding was confirmed by western blot analysis (P=0.016). Immunohistochemistry data indicated that CDK10 expression was significantly decreased in 92 of 189 (48.7%) gastric cancer cases. Kaplan-Meier survival curves revealed that decreased expression of CDK10 was strongly associated with a poor prognosis in gastric cancer patients (P<0.001). Multivariate Cox analysis identified CDK10 expression as an independent prognostic factor for overall survival (P=0.011). Conclusions/Significance: Our data suggest that reduced CDK10 expression independently predicts a poor prognosis in patients with gastric cancer. CDK10 can may serve as a valuable prognostic marker and a potential target for gene therapy.

Lymph Node Metastasis, a Unique Independent Prognostic Factor in Early Gastric Cancer.

BACKGROUND: Lymph node metastasis (LNM) has been shown to be related to the prognosis of early gastric cancer (EGC). The choice of optimal treatment depends on an accurate pre-operative assessment of LNM status in EGC patients. However, in China, where EGC cases account for only a small part of gastric cancer (GC) cases, there are not enough data to make an accurate assessment. Therefore, this study, which involved a relatively large number of EGC patients, aimed to explore the relationship between clinicopathological characteristics and LNM in EGC. METHODS: Clinicopathological data from 205 EGC patients who underwent surgical resection at Sun Yat-Sen University Cancer Center from January 2000 to December 2011 were retrospectively analyzed. Clinicopathological characteristics were assessed to identify effective predictive factors for LNM and overall survival. RESULTS: LNM occurred in 52 (25.37%) EGC cases; of these cases, 18 occurred in intra-mucosal cancers (13 N1, 4 N2 and 1 N3), and 34 occurred in sub-mucosal cancers (22 N1, 7 N2 and 5 N3). Logistic regression analysis demonstrated that tumor differentiation (P=0.002), depth of tumor infiltration (P=0.004), vessel invasion (P=0.012), tumor size (P=0.020) and gender (P=0.022) were risk factors associated with LNM in EGC, listed in order of priority. The overall survival rate was 90.2%. Kaplan-Meier survival analysis showed that overall survival of EGC patients was significantly correlated with LNM (P=0.001), N staging (P<0.001) and invasion of lymphatic or blood vessels (P=0.010), but it was not correlated with tumor size, depth of tumor infiltration or tumor cell differentiation. Moreover, a multiple Cox regression analysis demonstrated that only N staging (P=0.001) could serve as an independent prognostic predictor in EGC patients. CONCLUSIONS: Because LNM independently predicts the prognosis of EGC, endoscopic mucosal resection (EMR) or endoscopic submucosal dissection (ESD) and laparoscopic partial gastrectomy should be cautiously used in high-risk EGC patients. A pre-operative assessment of LNM status based on clinicopathological factors may be useful for therapy planning.

The clinical significance and risk factors of solitary lymph node metastasis in gastric cancer.

AIMS: To assess the clinical significance and risk factors of solitary lymph node metastasis (SLM) in gastric carcinoma and establish a more accurate method to evaluate the possibility of lymph node metastasis (LM). METHODS: A total of 385 patients with gastric carcinoma who underwent D2 lymphadenectomy at the Cancer Center of Sun Yat-Sen University were included in this research. Then we used a group of data from Sun Yat-sen University Gastrointestinal Hospital (SYSUGIH) to validate the accuracy of our developed method. The χ2 test, Kaplan-Meier analysis, log-rank test, COX model, and discriminate analysis were used to analyze the data with SPSS13.0. RESULTS: We found that the LM number and pathological T staging were independent prognostic risk factors. CEA grading, LN status by CT, and T staging by CT were independent risk factors for LM in gastric carcinoma. In addition, we developed the equation Y = -5.0 + X1 + 1.8X3 + 0.7X4 (X1 = CEA grading, X3 = LN status by CT, X4 = T staging by CT) to evaluate the situation of LM. The data from SYSUGIH shows this equation has a better accuracy compared with CT. CONCLUSIONS: SLM is an independent risk factor in gastric cancer. And there was no survival difference between the skip metastasis group and the other SLM group (P = 0.659). It is inappropriate for the patient with SLM doing a standard D2 lymphadenectomy, due to the fact that LM rarely occurs in the splenic artery, splenic hilum. The risk factors for LM include CEA grading, LN status by CT, and T staging by CT. And we can use Y = -5.0 + X1 + 1.8X3 + 0.7X4 (X1, CEA grading, X3 = LN status by CT, X4 = T staging by CT, the critical value is 0.3) to estimate the possibility of LM, which has a better accuracy compared with CT.

High expression level of T-box transcription factor 5 predicts unfavorable survival in stage I and II gastric adenocarcinoma.

The expression of T-box transcription factor 5 (TBX5) has previously been observed in human cancer. The aim of the present study was to investigate TBX5 expression and its potential clinical significance in gastric cancer (GC). Using reverse transcription-quantitative polymerase chain reaction, the TBX5 mRNA expression levels in 30 pairs of surgically resected healthy gastric tissues and early stage (stages I and II) GC tissues were evaluated. The TBX5 mRNA expression levels were increased in GC stage I and II tumor tissues (P=0.01, n=30) compared with the matched adjacent non-tumor tissue. However, no significant difference was observed in TBX5 mRNA expression levels in matched adjacent non-tumor tissue compared with the tumor tissue from stage III and IV GC samples (P=0.318, n=30). Immunohistochemical analysis for TBX5 expression was performed on 161 paraffin-embedded stage I and II GC tissue blocks. Statistical analysis was performed to evaluate the associations between TBX5 expression, clinicopathological factors and prognosis. Patients with stage I and II GC and tumors with high TBX5 expression levels presented poor overall survival (OS) rate (P=0.024). The Cox proportional hazards model analysis demonstrated that TBX5 expression was an independent risk factor (P=0.017). The present study indicates that high expression of TBX5 is associated with unfavorable OS rates in patients with stage I and II GC. In conclusion, the expression of TBX5 may be a valuable biomarker for the selection of cases of high-risk stage I and II GC.

Reduced NKX2.1 expression predicts poor prognosis of gastric carcinoma.

Thyroid transcription factor-1 (NKX2.1/TITF-1) is a member of the thyroid tissue-specific transcription factor family that has been proven to be closely associated with many human diseases. Recently, it was reported that NKX2.1 expression is lost or reduced in some human cancers such as lung cancer and thyroid cancer. However, there was insufficient data to suggest that NKX2.1 functionality could be used as a prognostic factor. Therefore, this study aims to investigate NKX2.1 expression and its prognostic significance in primary gastric carcinoma. Then, we attempted to investigate if NKX2.1 expression was related to the clinicopathological characteristics and prognosis of gastric carcinoma (GC)patients. The expression levels of NKX2.1 were analyzed in tissue samples from 205 gastric carcinoma patients by real-time quantitative PCR (qRT-PCR), Western blotting, and immunohistochemical staining(IHC). Our qRT-PCR results showed that the expression of NKX2.1 mRNA was reduced in tumor tissue samples compared with that in matched adjacent non-tumor tissue samples (P < 0.001); this finding was confirmed by Western blot analysis (P < 0.001). Our immunohistochemical staining data indicated that NKX2.1 expression was significantly decreased in 87 of 205 (42.4%) gastric carcinoma cases. Kaplan-Meier survival curves revealed that the decreased expression of NKX2.1 was significantly associated with poor prognosis in gastric carcinoma patients (P < 0.001). Multivariate Cox analysis identified NKX2.1 expression as an independent prognostic factor for overall survival (P = 0.005). Furthermore, the functions of Nkx2.1 were analyzed with respect to the proliferation, migration, and invasion of GC cell lines. Our data suggest that NKX2.1 may function as a tumor suppressor in primary gastric carcinoma and that its reduced expression independently predicts an unsatisfactory prognosis in gastric carcinoma patients.

Decreased ITIH5 expression is associated with poor prognosis in primary gastric cancer.

Inter-α-trypsin inhibitors (ITIs) are a family of serine protease inhibitors that comprise one light chain and a variable set of heavy chains (ITI heavy chains, ITIHs). ITIH5 is a new member of the ITIH family that contains two domains conserved in all known ITIHs: vault protein IT and von Willebrand type A. Recent studies suggest that ITIH5 expression may be altered in certain types of cancer. This study aimed to investigate ITIH5 expression in clinical tumor specimens from gastric cancer patients and its prognostic value for gastric cancer. ITIH5 expression was detected in fresh gastric cancer tissues (T) and the matched adjacent non-tumor tissues (ANT) using real-time quantitative reverse transcription-PCR and Western blotting. ITIH5 expression was retrospectively detected in 331 paraffin-embedded, banked samples using immunohistochemical staining. ITIH5 mRNA and protein expression was significantly downregulated in gastric cancer tissues compared to the ANT. There was a significant association between ITIH5 expression and histological grade (P = 0.020), N classification (P = 0.047), and clinical stage (P = 0.011). Patients with low ITIH5 expression had shorter survival compared to those with high ITIH5 expression. Multivariate analysis showed that ITIH5 expression was an independent prognostic factor for overall survival of gastric cancer patients (P = 0.034). Our data suggest that ITIH5 could play an important role in gastric cancer and may serve as a valuable prognostic biomarker and potential molecular therapy target for gastric cancer.