Nutritional Risk Index as a Prognostic Factor Predicts the Clinical Outcomes in Patients With Stage III Gastric Cancer

Nutritional Status as a Prognostic Factor for Survival in Palliative Care: A Retrospective Observational Analysis of Home Parenteral Nutrition in Cancer Patients with Inoperable Malignant Bowel Obstruction

Palliative care patients with malignant bowel obstruction are particularly at risk of developing malnutrition, which in turn directly shortens survival time and worsens quality of life (QoL). According to the available data, the survival time in this patient group is often less than three months. To avoid further complications related to malnutrition and poor outcomes in oncological therapy, nutritional therapy such as home parenteral nutrition (HPN) is offered. The aim of this study was to investigate whether nutritional status is a prognostic factor for survival in palliative care patients with malignant inoperable bowel obstruction qualified for home parenteral nutrition and which nutritional assessment tool has the most accurate prognostic value. This retrospective observational analysis included 200 patients with malignant bowel obstruction referred for home parenteral nutrition between January 2018 and August 2023. The analysis included laboratory test results, body mass index (BMI), Subjective Global Assessment (SGA), Nutritional Risk Index (NRI), Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI) and malnutrition as defined by the Global Leadership Initiative on Malnutrition (GLIM). The average survival time of the patients was 75 days. Patients with higher NRI and PNI scores were more likely to survive (NRI: p < 0.001; PNI: p < 0.001). The GLIM criteria, SGA scores and BMI values did not prove to be good prognostic factors for survival (GLIM p = 0.922, SGA p = 0.083, BMI p = 0.092). The results suggest that the use of NRI and PNI may be helpful in prognosing survival in these patients and that prevention of the development of malnutrition through earlier nutritional assessment and intervention should be considered in this patient group.

Nutritional risk index predicts the prognosis of gastric cancer patients with pyloric stenosis who received preoperative parenteral nutrition

Patients with gastric cancer with pyloric stenosis frequently have poor nutritional status and preoperative parenteral nutrition has been a common treatment strategy. The present study aimed to explore the predictive ability of the nutritional risk index (NRI) regarding the prognosis of patients with gastric cancer and pyloric stenosis who received preoperative parenteral nutrition. A total of 194 patients with gastric cancer with pyloric stenosis who received preoperative parenteral nutrition at Tthe Second People's Hospital of Neijiang (Neijiang, China) between January 2016 and December 2021 were included. At the same time, 221 patients with gastric cancer without pyloric stenosis who received surgery during the same period were also collected and the clinicopathological characteristics of the patients were compared. The optimal cut-off value of the NRI was determined from the receiver operating characteristic curve and prognostic factors were identified by survival analysis. Finally, a nomogram was constructed to predict the survival probability of patients with gastric cancer. The results indicated that patients with pyloric stenosis exhibited a wide range of unfavorable pathological characteristics and blood parameters. In addition, their overall survival (OS) was significantly worse (P<0.001). Among the patients with pyloric stenosis, there were 120 patients (61.9%) with an NRI <93.42 and 74 patients (38.1%) with NRI ≥93.42. Furthermore, patients with an NRI <93.42 had poorer OS (34.37 months vs. not reached, P=0.004). Of note, age, tumor size, radical resection, NRI and TNM stage were determined to be independent prognostic factors for OS. The C-index of the nomogram was 0.760 (95%CI: 0.688-0.832). In conclusion, the NRI was indicated to be an accurate score reflecting the nutritional status of patients, which was able to predict the clinical outcomes of patients with gastric cancer with pyloric stricture who received preoperative parenteral nutrition. Patients with a low NRI had shorter survival times.

Prognostic artificial intelligence model to predict 5 year survival at 1 year after gastric cancer surgery based on nutrition and body morphometry

BACKGROUND

Personalized survival prediction is important in gastric cancer patients after gastrectomy based on large datasets with many variables including time-varying factors in nutrition and body morphometry. One year after gastrectomy might be the optimal timing to predict long-term survival because most patients experience significant nutritional change, muscle loss, and postoperative changes in the first year after gastrectomy. We aimed to develop a personalized prognostic artificial intelligence (AI) model to predict 5 year survival at 1 year after gastrectomy.

METHODS

From a prospectively built gastric surgery registry from a tertiary hospital, 4025 gastric cancer patients (mean age 56.1 ± 10.9, 36.2% females) treated gastrectomy and survived more than a year were selected. Eighty-nine variables including clinical and derived time-varying variables were used as input variables. We proposed a multi-tree extreme gradient boosting (XGBoost) algorithm, an ensemble AI algorithm based on 100 datasets derived from repeated five-fold cross-validation. Internal validation was performed in split datasets (n = 1121) by comparing our proposed model and six other AI algorithms. External validation was performed in 590 patients from other hospitals (mean age 55.9 ± 11.2, 37.3% females). We performed a sensitivity analysis to analyse the effect of the nutritional and fat/muscle indices using a leave-one-out method.

RESULTS

In the internal validation, our proposed model showed AUROC of 0.8237, which outperformed the other AI algorithms (0.7988-0.8165), 80.00% sensitivity, 72.34% specificity, and 76.17% balanced accuracy. In the external validation, our model showed AUROC of 0.8903, 86.96% sensitivity, 74.60% specificity, and 80.78% balanced accuracy. Sensitivity analysis demonstrated that the nutritional and fat/muscle indices influenced the balanced accuracy by 0.31% and 6.29% in the internal and external validation set, respectively. Our developed AI model was published on a website for personalized survival prediction.

CONCLUSIONS

Our proposed AI model provides substantially good performance in predicting 5 year survival at 1 year after gastric cancer surgery. The nutritional and fat/muscle indices contributed to increase the prediction performance of our AI model.

Role of Endoscopy in Management of Upper Gastrointestinal Cancers

Upper gastrointestinal (GI) malignancy is a leading cause of cancer-related morbidity and mortality. Upper endoscopy has an established role in diagnosing and staging upper GI cancers, screening for pre-malignant lesions, and providing palliation in cases of advanced malignancy. New advances in endoscopic techniques and technology have improved diagnostic accuracy and increased the therapeutic potential of upper endoscopy. We aim to describe the different types of endoscopic technology used in cancer diagnosis, summarize the current guidelines for endoscopic diagnosis and treatment of malignant and pre-malignant lesions, and explore new potential roles for endoscopy in cancer therapy.

Optimizing the Choice for Adjuvant Chemotherapy in Gastric Cancer

Simple Summary

Gastric cancer is the fourth largest cause of tumor-related death worldwide. Despite advances in the management of resectable cancer and improvements in early diagnosis, especially in east Asia where screening campaigns are actively performed, many patients experience recurrence and die because of the disease. Adjuvant systemic chemotherapy is administered after radical surgery in order to reduce the risk of recurrence and death. The modality of administration and regimens of chemotherapy in this setting are different between Eastern and Western countries. In Asia, adjuvant chemotherapy is traditionally given after surgery, while in Europe it is commonly scheduled after preoperative chemotherapy and surgery (perioperative chemotherapy), and in Northern America it is usually combined with radiotherapy (chemoradiotherapy). All these approaches are sustained by well-designed phase III clinical studies, and none may be considered superior to the others in the absence of head-to-head comparisons. The identification of predictive and/or prognostic factors could help to select patients at higher risk of recurrence and those more likely to receive a benefit from the adjuvant treatment. This would allow clinicians to avoid the administration of undue toxicity to non-responder patients and even to reduce the cost of unnecessary treatment.

Abstract

Advances in the management of gastric cancer have improved patient survival in the last decade. Nonetheless, the number of patients relapsing and dying after a diagnosis of localized gastric cancer is still too high, even in early stages (10% in stage I). Adjuvant systemic chemotherapy has been proven to significantly improve outcomes. In the present article we have critically reviewed the clinical trials that guide the current clinical practice in the adjuvant treatment of patients affected by resectable gastric cancer, focusing on the different approaches worldwide, i.e., adjuvant chemotherapy, adjuvant chemoradiotherapy, and perioperative chemotherapy. We also delineate the clinical–pathological characteristics that are commonly taken into account to identify patients at a higher risk of recurrence and requiring adjuvant chemotherapy, and also describe novel biomarkers and therapeutic agents that might allow personalization of the treatment.