Prognostic importance of the preoperative New-Naples prognostic score for patients with gastric cancer

Controlling Nutritional Status (CONUT) Score as Prognostic Indicator in Stage IV Gastric Cancer with Chronic Intestinal Failure

The management of chronic intestinal failure (CIF) secondary to advanced gastric cancer poses clinical challenges. This study explores the correlation between the Controlling Nutritional Status (CONUT) index and survival in patients with TNM stage IV gastric cancer on home parenteral nutrition (HPN).

METHODS

From 2015 to 2023, 410 patients (37% women, 63% men) with CIF due to advanced gastric cancer were assessed using CONUT scores, BMI, and biochemical tests. The Cox proportional hazards model was used to evaluate the impact of covariates on survival. Logistic regression categorized malnutrition levels by CONUT scores, with performance evaluated using precision, recall, and F1 scores. A p-value < 0.001 was statistically significant.

RESULTS

The CONUT scores were independent predictors of survival, with higher CONUT scores increasing mortality risk (HR = 2.073, 95% CI: 1.815-2.369, p < 0.001). The model achieved an overall accuracy of 71%, indicating correct classification for the majority of cases.

CONCLUSIONS

CONUT scores are key predictors of survival in patients receiving HPN for CIF due to stage IV gastric cancer.

Clinical significance of the modified Naples prognostic score in patients with stage II-III colon cancer undergoing curative resection: a retrospective study from the real world

Background

The Naples prognostic score (NPS) determined by the nutritional and inflammatory condition of an individual is attracting growing attention for predicting postoperative outcomes in a variety of malignancies. The study aimed to assess the clinical significance of a modified NPS (M-NPS) and establish and validate nomograms incorporating M-NPS in curative stage II-III colon cancer patients.

Methods

We retrospectively analyzed 328 stage II-III colon cancer patients receiving radical surgical resection at our hospital from January 2011 to December 2016. Kaplan-Meier (KM) survival analysis and Cox regression analysis were executed for overall survival (OS) and cancer-specific survival (CSS). Independent predictive indicators were applied to develop nomograms. The model's performance was evaluated using many different methods.

Results

Of a total of 328 cases, 153 cases were in group 0, 145 in group 1, and 30 in group 2. In terms of OS or CSS, there were obvious differences between groups 0 and 1, and between groups 0 and 2. Age, obstruction, N stage, gross tumor type, and M-NPS group were independent prognostic indicators for OS, while obstruction, gross tumor type, M-NPS group, and N stage were independent predictive parameters for CSS. Furthermore, the training and validation sets were randomly allocated among a cohort of 328 patients. OS and CSS prediction nomograms were developed. In the training and validation cohort, the C-index and ROC analysis showed good discrimination, calibration curves exhibited an excellent level of consistency between model-predicted survival and actual survival outcomes, and DCA curves demonstrated good clinical performance.

Conclusion

M-NPS is a reliable survival predictor in patients with curative stage II-III colon cancer. Nomograms incorporating M-NPS for OS and CSS have good predictive performance and clinical utility.

Naples Prognostic Score: A Novel Predictor of Survival in Patients with Triple-Negative Breast Cancer

Purpose

This study investigated the correlation between the Naples prognostic score (NPS), clinicopathological traits, and the postoperative prognoses of patients with triple-negative breast cancer (TNBC). Based on NPS, a predictive nomogram was developed to estimate the long-term survival probabilities of patients with TNBC post-surgery.

Patients and Methods

We retrospectively examined the clinical records of 223 women with TNBC treated at Ningbo Medical Center, Lihuili Hospital between January 1, 2016 and December 31, 2020. Blood tests and biochemical analyses were conducted before surgery. The prognostic nutritional index (PNI), controlling nutritional status (CONUT), neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and NPS were determined based on blood-related markers. A Kaplan-Meier survival analysis assessed the association between NPS, PNI, CONUT score, overall survival (OS), and breast cancer-specific survival (BCSS). Predictive accuracy was evaluated using the area under the receiver operating characteristic curve (AUC) and C index. The patients were randomly divided into the training and the validation group (6:4 ratio). A nomogram prediction model was developed and evaluated using the R Software for Statistical Computing (RMS) package.

Results

NPS outperformed other scores in predicting inflammation outcomes. Patients with an elevated NPS had a poorer prognosis (P<0.001). Lymph node ratio (LNR), surgical method, postoperative chemotherapy, and NPS independently predicted OS, whereas M stage, LNR, and NPS independently predicted BCSS outcome. The OS and BCSS predicted by the nomogram model aligned well with the actual OS and BCSS. The decision curve analysis showed significant clinical utility for the nomogram model.

Conclusion

In this study, NPS was an important prognostic indicator for patients with TNBC. The nomogram prognostic model based on NPS outperformed other prognostic scores for predicting patient prognosis. The model demonstrated a clear stratification ability for patient prognosis, which emphasized the potential benefits of early intervention for high-risk patients.

The Naples Prognostic Score Is an Independent Prognostic Factor for Gastric Cancer Patients Who Receive Curative Treatment

BACKGROUND/AIM

This study aimed to evaluate the clinical impact of the Naples Prognostic Score (NPS) in patients with gastric cancer and to clarify the potential of the NPS as a nutritional and inflammation evaluation system.

PATIENTS AND METHODS

This study included 158 patients who underwent curative treatment for gastric cancer between 2005 and 2020. The prognosis and clinical pathological parameters of the high-NPS (NPS >2) and low-NPS (NPS=0, 1) groups were analyzed.

RESULTS

The overall survival (OS) rates at 3 and 5 years were 86.7% and 77.7%, respectively, in the low-NPS group and 55.4% and 47.4%, respectively, in the high-NPS group. There were significant differences in OS between the two groups. Uni- and multivariate analyses demonstrated that the NPS was an independent prognostic factor for OS (HR=2.495, 95%CI=1.240-5.451). In addition, the 3- and 5-year recurrence-free survival (RFS) rates were 82.1% and 76.0%, respectively, in the NPS-low group, and 43.8% and 36.6% in the NPS-high group. Univariate and multivariate analyses demonstrated that the NPS was an independent prognostic factor for RFS (HR=2.739, 95%CI=1.509-4.972). When the first site of recurrence was compared between the low-NPS group and high-NPS group, there were significant differences in peritoneal recurrence (8.7% vs. 34.3%, p=0.001) and hematologic recurrence (5.6% vs. 21.9%, p=0.004).

CONCLUSION

The NPS was a significant prognostic factor in patients with gastric cancer who received curative treatment. The NPS may be a promising biomarker for the treatment and management of gastric cancer.

A prognostic marker LTBP1 is associated with epithelial mesenchymal transition and can promote the progression of gastric cancer

LTBP1 is closely related to TGF-β1 function as an essential component, which was unclear in gastric cancer (GC). Harbin Medical University (HMU)-GC cohort and The Cancer Genome Atlas (TCGA) dataset were combined to form a training cohort to calculate the connection between LTBP1 mRNA expression, prognosis and clinicopathological features. The training cohort was also used to verify the biological function of LTBP1 and its relationship with immune microenvironment and chemosensitivity. In the tissue microarrays (TMAs), immunohistochemical (IHC) staining was performed to observe LTBP1 protein expression. The correlation between LTBP1 protein expression level and prognosis was also analyzed, and a nomogram model was constructed. Western blotting (WB) was used in cell lines to assess LTBP1 expression. Transwell assays and CCK-8 were employed to assess LTBP1's biological roles. In compared to normal gastric tissues, LTBP1 expression was upregulated in GC tissues, and high expression was linked to a bad prognosis for GC patients. Based on a gene enrichment analysis, LTBP1 was primarily enriched in the TGF-β and EMT signaling pathways. Furthermore, high expression of LTBP1 in the tumor microenvironment was positively correlated with an immunosuppressive response. We also found that LTBP1 expression (p = 0.006) and metastatic lymph node ratio (p = 0.044) were independent prognostic risk factors for GC patients. The prognostic model combining LTBP1 expression and lymph node metastasis ratio reliably predicted the prognosis of GC patients. In vitro proliferation and invasion of MKN-45 GC cells were inhibited and their viability was decreased by LTBP1 knockout. LTBP1 plays an essential role in the development and progression of GC, and is a potential prognostic biomarker and therapeutic target for GC.

Clinical Implications of Naples Prognostic Score for Patients with Resected Cholangiocarcinoma: A Real-World Experience

Purpose

The Nutritional Prognostic Score (NPS) is a composite indicator that effectively reflects the preoperative nutritional and inflammation status of patients. Its prognostic value has been extensively confirmed in various types of tumors. Our study aims to investigate the clinical implications of the NPS in the postoperative patients with cholangiocarcinoma (CCA).

Patients and Methods

Data on clinicopathological characteristics were collected from CCA patients who underwent radical surgery between 2014 and 2019 at Harbin Medical University Cancer Hospital. NPS was calculated using relevant indicators to categorize the patients, and association of NPS with clinicopathological characteristics and survival outcomes were analyzed. To assess differences in survival rates between different groups, we utilized the Kaplan-Meier method. Independent prognostic risk factors were identified by Cox regression analysis. A CONomogram was created, and its accuracy in survival prediction was evaluated using receiver operating characteristic (ROC) curves. Independent verification was conducted in the validation group.

Results

For this study, a cohort of 232 patients was enlisted and subsequently divided into training group (N=162) and validation group (N=70). An evident correlation was detected between NPS and preoperative malnutrition. Patients with higher NPS exhibited a worse overall survival (OS), with 5-year OS rates of 79.1%, 33.1%, and 10.6%. Multivariate analysis revealed that NPS was an independent risk factor for OS in resected CCA patients (P<0.001). The NPS-based Nomogram was developed to accurately assess the risk of patients.

Conclusion

The NPS was identified as a significant risk factor that impacts the prognosis of patients with resected CCA. In order to improve prognosis management, the NPS-based Nomogram has been demonstrated to be a precise and efficient tool.

Prognostic Value of the Naples Prognostic Score in Patients with Gastrointestinal Cancers: A Meta-Analysis

This meta-analysis was conducted to systematically evaluate the prognostic role of the Naples prognostic score (NPS) in patients with gastrointestinal (GI) cancers. A comprehensive literature search of several major databases was performed for studies published until October 16, 2022. Hazard ratios (HRs) with 95% confidence intervals (CIs) were extracted and pooled by fixed-effects or random-effects models to analyze the associations between the NPS and overall survival (OS), cancer-specific survival (CSS), and recurrence-free/disease-free survival (RFS/DFS) in GI cancers. Thirteen studies were included in the meta-analysis. Pooled results indicated that a high NPS predicted poor OS (HR = 2.28, 95% CI: 1.90-2.74, p < 0.001), CSS (HR = 2.77, 95% CI: 2.10-3.66, p < 0.001), and RFS/DFS (HR = 2.77, 95% CI: 2.26-3.40, p < 0.001). For OS-related and RFS/DFS-related studies, subgroup analyses showed that a high NPS was significantly associated with poor OS and RFS/DFS irrespective of NPS group, calculation of the NPS, and tumor type. In the study that focused on CSS, subgroup analyses by NPS group and calculation of the NPS revealed similar results. The NPS may represent an effective prognostic indicator in patients with GI cancers.