Gastric Cancer with Sarcopenia: an Area Worth Focusing On

Geriatric Nutrition Risk Index is closely associated with sarcopenia and quality of life in gastric cancer patients: a cross-sectional study

Impaired nutritional status is closely related to the development of sarcopenia and poor quality of life (QoL) in cancer patients. This study aimed to investigate the association of Geriatric Nutritional Risk Index (GNRI) with sarcopenia and QoL in patients with gastric cancer (GC). Sarcopenia was diagnosed based on the Asian Working Group for Sarcopenia 2019 criteria. This cross-sectional study included a total of 311 patients with GC. Among them, 57 (18.3%) patients were diagnosed with sarcopenia. GNRI showed significant correlations with sarcopenia-related indicators including skeletal muscle index, handgrip strength, gait speed, and 5-time chair stand time (p < 0.001). A significant association was observed between GNRI and sarcopenia [odds ratio (OR) = 0.815, 95% confidence interval (CI): 0.760-0.874, p < 0.001] in the multivariate analysis. The optimal cutoff value of GNRI for predicting sarcopenia was 94.98, with a sensitivity of 75.4% and specificity of 73.2%. Patients with low GNRI exhibited significantly lower scores in terms of global health status and most functional scales. Furthermore, the majority of symptoms exhibited greater severity in patients with low GNRI. In conclusion, the present study revealed that GNRI was closely associated with sarcopenia and QoL, and could effectively predict sarcopenia in patients with GC.

Establishment and validation of a risk prediction model for sarcopenia in gastrointestinal cancer patients: A systematic review and meta-analysis-based approach

OBJECTIVE

The study aimed to develop a model to predict the risk of sarcopenia in gastrointestinal cancer patients. The goal was to identify these patients early and classify them into different risk categories based on their likelihood of developing sarcopenia.

METHODS

This study evaluated risk factors for sarcopenia in patients with gastrointestinal cancers through a systematic review and meta-analysis. The natural logarithm of the combined risk estimate for each factor was used as a coefficient to assign scores within the model for risk prediction. Data from 270 patients with gastrointestinal cancers, collected between October 2023 and April 2024, was used to assess the predictive performance of the scoring model.

RESULTS

The analysis included 17 studies that included 9405 patients with gastrointestinal cancers, out of which 4361 had sarcopenia. The model identified several significant predictors of sarcopenia, including age (OR = 2.45), sex (OR = 1.15), combined diabetes (OR = 2.02), neutrophil-to-lymphocyte ratio (NLR) category (OR = 1.61), TNM stage (OR = 1.61), and weight change (OR = 1.60). Model validation was performed using an external cohort through logistic regression, resulting in an area under the curve (AUC) of 0.773. This model attained a sensitivity of 0.714 and a specificity of 0.688 and ultimately selected 16.5 as the ideal critical risk score. Furthermore, an AUC of 0.770 was obtained from Bayesian model validation; the optimal critical risk score was determined to be 19.0, which corresponds to a sensitivity of 0.658 and a specificity of 0.847.

CONCLUSIONS

The model of risk prediction developed through systematic review and meta-analysis demonstrates substantial for sarcopenia in patients with gastrointestinal cancers. Its clinical usability facilitates the screening of patients at high risk for sarcopenia.

Impact of preoperative sarcopenia on postoperative complications and prognosis in patients undergoing robotic gastric cancer surgery: A propensity score matching study

BACKGROUND

Sarcopenia, defined as decreased muscle mass and function, correlates with postoperative morbidity and mortality in cancer surgery. However, sarcopenia's impact specifically following robotic gastrectomy for gastric cancer has not been clearly defined. This study aimed to determine the influence of sarcopenia on short- and long-term clinical outcomes after robotic gastrectomy for gastric cancer.

METHODS

This retrospective study analyzed 381 gastric cancer patients undergoing robotic gastrectomy. Sarcopenia was diagnosed by preoperative computed tomography (CT) body composition analysis. Propensity score matching created 147 pairs of sarcopenia and nonsarcopenia patients for comparison. Outcomes included postoperative complications, survival, inflammatory markers, length of stay, intensive care unit (ICU) transfer, and readmissions.

RESULTS

Sarcopenia patients exhibited significantly higher rates of overall (53.7% versus 21.1%, P < 0.001), serious (12.9% versus 4.1%, P = 0.007), and grade III-IV complications compared to nonsarcopenia pairs after matching. Sarcopenia independently predicted reduced 3-years overall (HR = 2.53, 95% CI: 1.19-5.40, P = 0.016) and disease-free survival (HR = 1.99, 95% CI: 1.09-3.66, P = 0.026). Sarcopenia patients also showed heightened postoperative leukocyte, neutrophil, platelet, platelet to lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and monocyte to lymphocyte ratio (MLR) levels alongside suppressed lymphocytes, monocytes, and neutrophil to lymphocyte ratio (NLR).

CONCLUSION

Preoperative sarcopenia is correlated with increased postoperative complications and poorer long-term survival in gastric cancer patients undergoing robotic gastrectomy. Sarcopenia assessment can optimize preoperative risk stratification and perioperative management in this population.

Causal effect of sarcopenia-related traits on the occurrence and prognosis of breast cancer - A bidirectional and multivariable Mendelian randomization study

Introduction

Background and aims: although sarcopenia is associated with several types of cancer, there is limited research regarding its effect on breast cancer. We aimed to explore the causality between sarcopenia-related traits and the incidence and prognosis of breast cancer. Methods: two-sample bidirectional and multivariate Mendelian randomization (MR) analyses were utilized in this study. Genome-wide association studies were used to genetically identify sarcopenia-related traits, such as appendicular lean mass, grip strength of both hands, and walking pace. Data on the incidence and prognosis of breast cancer were collected from two extensive cohort studies. Multivariate MR analysis was used to adjust for body mass index, waist circumference, and whole-body fat mass. The primary method used for analysis was inverse-variance weighted analysis. Results: a significant association was found between appendicular lean mass and ER- breast cancer (OR = 0.873, 95 % CI: 0.817-0.933, p = 6.570 × 10-5). Increased grip strength of the left hand was associated with a reduced risk of ER- breast cancer (OR = 0.744, 95 % CI: 0.579-0.958, p = 0.022). Stronger grip strength of the right hand was associated with prolonged survival time of ER+ breast cancer patients (OR = 0.463, 95 % CI: 0.242-0.882, p = 0.019). In the multivariable MR analysis, appendicular lean mass, grip strength of both hands, and walking pace were still genetically associated with the development of total breast cancer and ER-/+ breast cancer. Conclusions: several sarcopenia-related traits were genetically associated with the occurrence and prognosis of breast cancer. It is crucial for elderly women to increase their strength and muscle mass to help prevent breast cancer.