Compliance with Oral Nutritional Supplementation among Gastric Cancer Patients at Nutritional Risk: A Cross-Sectional Study.

AIMS: To explore compliance with oral nutritional supplementation (ONS) and to identify the risk factors for noncompliance among gastric cancer patients based on the health belief model (HBM). METHODS: This prospective, observational study included gastric cancer patients at nutritional risk who were prescribed ONS from July to September 2020. Demographic factors, clinical factors, ONS-related factors, social factors and variables derived from the HBM were collected. The outcome of interest was compliance with ONS, which was measured by self-reported intake of ONS. Uni- and multivariate analyses of potential risk factors for noncompliance were performed. RESULTS: A total of 162 gastric cancer patients in the preoperative and adjuvant chemotherapy periods were analyzed. The compliance rate with ONS was 24.7%. Univariate analysis identified thirteen variables as risk factors for decreased compliance. Multivariate logistic analysis indicated that ONS compliance was independently associated with the treatment period, perceived barriers to ONS, the motivation to take ONS, and the timing of taking ONS. CONCLUSION: This study showed that overall ONS compliance among gastric cancer patients was notably low. Patients in the chemotherapy treatment period who took ONS at random times each day perceived more barriers to taking ONS and had a lower level of motivation were associated with lower compliance with ONS.

Retrieval of 30 Lymph Nodes Is Mandatory for Selected Stage II Gastric Cancer Patients.

BACKGROUND: According to the 8th edition AJCC staging manual, a least of 16 lymph nodes retrieval (LNRs) is the minimal requirement for lymph nodes (LNs) dissection of gastric cancer surgery. Previous studies have shown that increasing the number of LNRs (≥30) prolongs survival for selected patients. However, the necessity of retrieving 30 or more LN for stage II gastric cancer patients is still under debate. AIM: This study aims to explore the impact of retrieving 30 or more lymph nodes on the survival of stage II cancer patients. METHODS: A total of 1,177 patients diagnosed with stage II gastric cancer were enrolled in this study. The clinicopathological parameters and the impact of different LNRs (<30 or ≥30) and positive lymph node ratio (NR) on overall survival (OS) were retrospectively analyzed. RESULTS: The mean number of LNRs was 34 ± 15. A total of 44% (518/1,177) of patients had an LNRs <30, while 56% (659/1,177) of patients had an LNRs ≥30. The 5-year survival rate was 81% for all patients, 76% for the LNRs <30 group, and 86% for LNRs ≥30 group, respectively (P = 0.003). The survival benefit of retrieving 30 lymph nodes was significant in certain subgroups: age >60 years/male/underwent total gastrectomy/stage IIB. For N+ patients, higher NR was significantly correlated with poor survival. CONCLUSION: The survival benefit of retrieving 30 LNs varies in different subgroups. An LNRs of 30 is mandatory for selected stage II gastric cancer patients.

Nomogram for predicting pathological complete response to neoadjuvant chemotherapy in patients with advanced gastric cancer.

BACKGROUND: Survival benefit of neoadjuvant chemotherapy (NAC) for advanced gastric cancer (AGC) is a debatable issue. Studies have shown that the survival benefit of NAC is dependent on the pathological response to chemotherapy drugs. For those who achieve pathological complete response (pCR), NAC significantly prolonged prolapsed-free survival and overall survival. For those with poor response, NAC yielded no survival benefit, only toxicity and increased risk for tumor progression during chemotherapy, which may hinder surgical resection. Thus, predicting pCR to NAC is of great clinical significance and can help achieve individualized treatment in AGC patients. AIM: To establish a nomogram for predicting pCR to NAC for AGC patients. METHODS: Two-hundred and eight patients diagnosed with AGC who received NAC followed by resection surgery from March 2012 to July 2019 were enrolled in this study. Their clinical data were retrospectively analyzed by logistic regression analysis to determine the possible predictors for pCR. Based on these predictors, a nomogram model was developed and internally validated using the bootstrap method. RESULTS: pCR was confirmed in 27 patients (27/208, 13.0%). Multivariate logistic regression analysis showed that higher carcinoembryonic antigen level, lymphocyte ratio, lower monocyte count and tumor differentiation grade were associated with higher pCR. Concordance statistic of the established nomogram was 0.767. CONCLUSION: A nomogram predicting pCR to NAC was established. Since this nomogram exhibited satisfactory predictive power despite utilizing easily available pretreatment parameters, it can be inferred that this nomogram is practical for the development of personalized treatment strategy for AGC patients.

[Relationship between genetic polymorphism of NAT2 and susceptibility to urinary bladder cancer].

OBJECTIVE: To study the relationship between genetic polymorphism of NAT2 and susceptibility to bladder cancer. METHODS: NAT2 genotypes were determined by PCR-RFLP method in 69 patients with bladder transitional cell carcinoma and 88 healthy controls. RESULTS: The frequency of NAT2 slow genotypes was 26.1% (18/69) in patients compared with 14.8% (13/88) in controls (P < 0.05). Bladder cancer risk in patients with NAT2 slow genotypes was 2 fold as high as that in patients with NAT2 rapid genotypes. When NAT2 rapid genotypes/non-smoker were used as reference, bladder cancer risk increased to 5.8-fold (P < 0.05). Among the smokers with PY higher than 10, the patients showed a higher frequency of NAT2 slow genotype than controls (P < 0.05). It was also shown that the patients with slow NAT2 genotypes were more likely to have high grade tumor (P < 0.05) and advanced stage tumor (P < 0.01). CONCLUSION: The results suggest that NAT2 genetic polymorphism is associated with bladder cancer susceptibility. People with NAT2 slow genotype have higher bladder cancer risk.