Predictive modeling of deep vein thrombosis risk in hospitalized patients: A Q-learning enhanced feature selection model.

Deep vein thrombosis (DVT) represents a critical health concern due to its potential to lead to pulmonary embolism, a life-threatening complication. Early identification and prediction of DVT are crucial to prevent thromboembolic events and implement timely prophylactic measures in high-risk individuals. This study aims to examine the risk determinants associated with acute lower extremity DVT in hospitalized individuals. Additionally, it introduces an innovative approach by integrating Q-learning augmented colony predation search ant colony optimizer (QL-CPSACO) into the analysis. This algorithm, then combined with support vector machines (SVM), forms a bQL-CPSACO-SVM feature selection model dedicated to crafting a clinical risk prognostication model for DVT. The effectiveness of the proposed algorithm's optimization and the model's accuracy are assessed through experiments utilizing the CEC 2017 benchmark functions and predictive analyses on the DVT dataset. The experimental results reveal that the proposed model achieves an outstanding accuracy of 95.90% in predicting DVT. Key parameters such as D-dimer, normal plasma prothrombin time, prothrombin percentage activity, age, previously documented DVT, leukocyte count, and thrombocyte count demonstrate significant value in the prognostication of DVT. The proposed method provides a basis for risk assessment at the time of patient admission and offers substantial guidance to physicians in making therapeutic decisions.

Characteristics and prognostic impact of cancer cachexia defined by the Asian Working Group for Cachexia consensus in patients with curable gastric cancer.

BACKGROUND: Cachexia is prevalent in cancer patients. The conventional diagnostic criteria for cachexia are often based on Western evidence, lacking consensus for Asian populations. This study aims to compare Asian Working Group for Cachexia (AWGC) criteria with Fearon's criteria, assessing their differences in population characteristics and prognostic impact. METHODS: The clinical data of patients who underwent radical gastrectomy between 2013 and 2019 were prospectively collected. Cachexia diagnosis involves the utilization of either AWGC criteria and the previous international consensus proposed by Fearon et al. A scoring model is established based on the optional criteria according to the AWGC criteria. Univariate and multivariate logistic and Cox regression analysis were conducted to determine the independent effect factors for postoperative complications and overall survival. RESULTS: In a total of 1330 patients, 461 met AWGC cachexia criteria and 311 met Fearon's criteria. Excluding 262 overlapping cases, those diagnosed solely with AWGC-cachexia had higher age and lower BMI, albumin, hemoglobin, and handgrip strength compared to those by Fearon's criteria alone. AWGC-cachexia independently increased the risk of postoperative complications, whereas Fearon's criteria did not. Patients with AWGC-cachexia also exhibited shorter overall survival than Fearon's criteria. The AWGC-based cachexia grading system effectively stratifies the risks of postoperative complications and mortality. CONCLUSIONS: The AWGC criteria is more effective in diagnosing cancer cachexia in the Asian population and provide better prognostic indicators.

Predictive nomogram for lymph node metastasis and survival in gastric cancer using contrast-enhanced computed tomography-based radiomics: a retrospective study.

Background: Lymph node involvement significantly impacts the survival of gastric cancer patients and is a crucial factor in determining the appropriate treatment. This study aimed to evaluate the potential of enhanced computed tomography (CT)-based radiomics in predicting lymph node metastasis (LNM) and survival in patients with gastric cancer before surgery. Methods: Retrospective analysis of clinical data from 192 patients diagnosed with gastric carcinoma was conducted. The patients were randomly divided into a training cohort (n = 128) and a validation cohort (n = 64). Radiomic features of CT images were extracted using the Pyradiomics software platform, and distinctive features were further selected using a Lasso Cox regression model. Features significantly associated with LNM were identified through univariate and multivariate analyses and combined with radiomic scores to create a nomogram model for predicting lymph node involvement before surgery. The predictive performance of radiomics features, CT-reported lymph node status, and the nomogram model for LNM were compared in the training and validation cohorts by plotting receiver operating characteristic (ROC) curves. High-risk and low-risk groups were identified in both cohorts based on the cut-off value of 0.582 within the radiomics evaluation scheme, and survival rates were compared. Results: Seven radiomic features were identified and selected, and patients were stratified into high-risk and low-risk groups using a 0.582 cut-off radiomics score. Univariate and multivariate analyses revealed that radiomics features, diabetes mellitus, Nutrition Risk Screening (NRS) 2002 score, and CT-reported lymph node status were significant predictors of LNM in patients with gastric cancer. A predictive nomogram model was developed by combining these predictors with the radiomics score, which accurately predicted LNM in gastric cancer patients before surgery and outperformed other models in terms of accuracy and sensitivity. The AUC values for the training and validation cohorts were 0.82 and 0.722, respectively. The high-risk and low-risk groups in both the training and validation cohorts showed significant differences in survival rates. Conclusion: The radiomics nomogram, based on contrast-enhanced computed tomography (CECT ), is a promising non-invasive tool for preoperatively predicting LNM in gastric cancer patients and postoperative survival.

Predictive value of Global Leadership Initiative on Malnutrition criteria combined with handgrip strength for postoperative outcomes in overweight colorectal cancer patients.

BACKGROUND AND AIM: The Global Leadership Initiative on Malnutrition (GLIM) criteria are increasingly used to assess the nutritional status of hospitalized patients and predict the prognosis of patients with malignant tumors; however, malnutrition is often overlooked in overweight individuals, such as colorectal cancer patients. This study aimed to investigate the predictive value of the GLIM criteria combined with handgrip strength (HGS) in overweight colorectal cancer patients. METHODS: This retrospective study enrolled overweight patients who underwent radical resection for colorectal cancer at two centers between 2015 and 2021. Malnutrition was diagnosed based on the GLIM criteria. Skeletal muscle mass was assessed using the skeletal muscle index, and skeletal muscle function was assessed using the HGS test. The risk factors for complications and survival were also evaluated. RESULTS: A total of 850 patients were enrolled in the study. The incidence of malnutrition in the GLIM and HGS-GLIM groups was 12.4% and 6.4%, respectively. The incidence of total complications in both the malnutrition groups was significantly higher than that in the control group. Patients in the HGS-GLIM-malnutrition group had worse overall survival and disease-free survival. HGS-GLIM was independently associated with postoperative complications (P = 0.046), overall survival (P = 0.037), and disease-free survival (P = 0.047). CONCLUSION: The GLIM criteria combined with the HGS test is an effective tool for diagnosing malnutrition. Particularly, these modalities are applicable in overweight colorectal cancer patients. Compared with the standard GLIM criteria, this tool has a better predictive value for postoperative complications and long-term survival.

Clinical impact of sarcopenia for overweight or obese patients with colorectal cancer.

BACKGROUND: Sarcopenia, overweight and obesity are all dynamic changes in body composition, which may have a negative effect on the prognosis for patients with colorectal cancer. The aim of this study was to investigate the predictive role of sarcopenia on overweight or obese patients with colorectal cancer. METHODS: We conducted an observative study on the population of overweight or obese patients with colorectal cancer who underwent curative surgeries in two centers between 2015 and 2021. They were grouped by the presence of sarcopenia. Propensity score match analysis was used to balance the baseline of clinicopathologic characteristics of the two groups. Then, the postoperative outcomes between the two groups were compared. Independent risk factors were evaluated for complications using univariate and multivariate analysis. RESULTS: Of 827 patients enrolled, 126 patients were matched for analysis. Patients with sarcopenia had a higher incidence of total complication and medical complications, a higher rate of laparoscopic surgery performed and higher hospitalization costs. Old age (≥65 years, P = 0.012), ASA grade (III, P = 0.008) and sarcopenia (P = 0.036) were independent risk factors for total complications. ASA grade (III, P = 0.002) and sarcopenia (P = 0.017) were independent risk factors for medical complications. CONCLUSIONS: Sarcopenia was prevalent among overweight or obese patients with colorectal cancer and was associated with negative postoperative outcomes. Early recognition of changes in body composition could help surgeons be well prepared for surgical treatment for overweight or obese patients.

Radiomics based on machine learning algorithms could predict prognosis and postoperative chemotherapy benefits of patients with gastric cancer: a retrospective cohort study.

Background: Traditional clinical characteristics have certain limitations in evaluating cancer prognosis. The radiomics features provide information on tumor morphology, tissue texture, and hemodynamics, which can accurately reflect personalized predictions. This study investigated the clinical value of radiomics features on contrast-enhanced computed tomography (CT) images in predicting prognosis and postoperative chemotherapy benefits for patients with gastric cancer (GC). Methods: For this study, 171 GC patients who underwent radical gastrectomy and pathology confirmation of the malignancy at the First Affiliated Hospital of Wenzhou Medical University were retrospectively enrolled. The general information, pathological characteristics, and postoperative chemotherapy information were collected. Patients were also monitored through telephone interviews or outpatient treatment. GC patients were randomly divided into the developing cohort (n=120) and validation cohort (n=51). The intra-tumor areas of interest inside the tumors were delineated, and 1,218 radiomics features were extracted. The optimal radiomics risk score (RRS) was constructed using 8 machine learning algorithms and 29 algorithm combinations. Furthermore, a radiomics nomogram that included clinicopathological characteristics was constructed and validated through univariate and multivariate Cox analyses. Results: Eleven prognosis-related features were selected, and an RRS was constructed. Kaplan-Meier curve analysis showed that the RRS had a high prognostic ability in the developing and validation cohorts (log-rank P<0.01). The RRS was higher in patients with a larger tumor size (≥3 cm), higher Charlson score (≥2), and higher clinical stage (Stages III and IV) (all P<0.001). Furthermore, GC patients with a higher RRS significantly benefited from postoperative chemotherapy. The results of univariate and multivariate Cox regression analyses demonstrated that the RRS was an independent risk factor for overall survival (OS) and disease-free survival (DFS) (P<0.001). A visual nomogram was established based on the significant factors in multivariate Cox analysis (P<0.05). The C-index was 0.835 (0.793-0.877) for OS and 0.733 (0.677-0.789) for DFS in the developing cohort. The calibration curve also showed that the nomogram had good agreement. Conclusions: A nomogram that combines the RRS and clinicopathological characteristics could serve as a novel noninvasive preoperative prediction model with the potential to accurately predict the prognosis and chemotherapy benefits of GC patients.

High albumin-bilirubin grade predicts worse short-term complications in gastric cancer patients with metabolic syndrome: a retrospective study.

Background: Preoperative albumin-bilirubin (ALBI) grade has been proposed and applied in recent years to evaluate the prognosis of liver cancer, but its role in gastric cancer (GC) is still unclear. This research aimed to examine the prognostic value of ALBI grade after gastrectomy among patients with GC complicated with metabolic syndrome (MetS). Methods: There were 628 patients who received radical resection for GC. Laboratory data and short-term results were collected prospectively, and preoperative ALBI grades were calculated from the albumin and bilirubin levels. The appropriate ALBI cutoff value was calculated by receiver operating characteristic (ROC) curve analysis, which we used to put patients into high (>-2.54) and low (≤-2.54) ALBI grade groups. The differences between the short-term complication rates of the two groups were analyzed with the chi-square test. Results: Of the included patients, 133 (21.2%) and 495 (78.8%) had high and low ALBI grades, respectively. A high ALBI grade (P=0.001), body mass index (BMI) ≥25 kg/m2 (P=0.001), and hypertension (P=0.018) were independent risk factors for postoperative complications. In GC patients with and without MetS, the high ALBI subgroup showed more overall complications than the low ALBI subgroup (P=0.028 and P=0.001). Among GC patients with MetS, those with a high ALBI grade showed a higher incidence of serious complications than those with a low ALBI grade (P=0.001); a similar, nonsignificant trend occurred in non-MetS patients (P=0.153). Conclusions: The preoperative ALBI grade is important in the prognosis of GC patients with MetS after gastrectomy. GC patients with MetS can lower their incidence of serious complications by adjusting their preoperative ALBI grade.

Clinical application of molecular residual disease detection by circulation tumor DNA in solid cancers and a comparison of technologies: review article.

Molecular residual disease (MRD), detected by circulating tumor DNA (ctDNA) can be involved in the entire process of solid tumor management, including recurrence prediction, efficacy evaluation, and risk stratification. Currently, the detection technologies are divided into two main categories, as follows: tumor-agnostic and tumor informed. Tumor-informed assay obtains mutation information by sequencing tumor tissue samples before blood MRD monitoring, followed by formulation of a personalized MRD panel. Tumor-agnostic assays are carried out using a fixed panel without the mutation information from primary tumor tissue. The choice of testing strategy may depend on the level of evidence from ongoing randomized clinical trials, investigator preference, cost-effectiveness, patient economics, and availability of tumor tissue. The review describes the difference between tumor informed and tumor agnostic detection. In addition, the clinical application of ctDNA MRD in solid tumors was introduced, with emphasis on lung cancer, colorectal cancer, Urinary system cancer, and breast cancer.

Effect of perioperative airway management on postoperative outcomes of colorectal cancer patients with sarcopenia.

BACKGROUND: It is common for colorectal cancer patients to have sarcopenia as a comorbidity, which has been shown to have a negative impact on prognosis after surgery. This study explored whether implementing a novel care program could improve postoperative outcomes in colorectal cancer patients with sarcopenia. METHODS: We retrospectively analyzed the clinical data of patients diagnosed with sarcopenia before undergoing radical colorectal cancer surgery. We divided the patients into two groups according to the time point of program implementation and, compared the clinical characteristics and postoperative outcomes of these two groups. RESULTS: A total of 227 patients were included in the study. The baseline clinical characteristics of the two groups were similar. Compared with the control group, patients in the implementation group had a significantly lower rate of total complications (18.5% vs. 30.3%, P = 0.041), a significantly lower rate of pulmonary complications (2.8% vs. 10.9%, P = 0.017), and a significantly shorter postoperative hospital stay (12 days vs. 14 days, P = 0.001). Implementation of perioperative airway management (P = 0.018) was shown to be a protective factor against pulmonary complications in colorectal cancer patients with sarcopenia. CONCLUSION: The perioperative airway management program implemented at our center was easy to perform and can effectively improve short-term postoperative outcomes in colorectal cancer patients with sarcopenia.

Analysis of potential Circular RNAs in regulating imatinib resistance of Gastrointestinal stromal tumor.

INTRODUCTION: Recent studies have found that circular RNA is an abundant RNA species that belongs to part of the competing endogenous RNA network(ceRNA), which was proven to play an important role in the development, diagnosis and progress of diseases. However, the function of circRNAs in imatinib resistance in Gastrointestinal stromal tumor (GIST) are poorly understood so for. The present study aimed to screen and predict the potential circRNAs in imatinib resistance of GIST using microarray analysis. METHODS: We determined the expression of circular RNAs in paired normal gastric tissues(N), primary GIST (gastrointestinal stromal tumor) tissues (YC) and imatinib mesylate secondary resistance GIST tissues(C) with microarray and predicted 8677 dysregulated circular RNAs. RESULTS: Compared with the YC group, we identified 15 circRNAs that were up-regulated and 8 circRNAs that were down-regulated in the C group. Gene ontology (GO)and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis indicated that these host linear transcripts that differentially express circular RNAs are involved in many key biological pathways, predicting the potential tumor-genesis and drug resistance mechanismrelated to HIF-1 pathway, later we draw the cirRNA-miRNA-mRNA network involved in the HIF-1 pathway and found several dysregulated circRNAs and the relationship between circRNA-miRNAs-mRNA, such as circRNA_06551, circRNA_14668, circRNA_04497, circRNA_08683, circRNA_09923(Green, down-regulation) and circRNA_23636, circRNA_15734(Red, up-regulation). CONCLUSION: Taken together, we identified a panel of dysregulated circRNAs that may be potential biomarkers even therapy relevant to the GIST, especially imatinib secondary resistance GIST.

Comparison of laparoscopic and open radical gastrectomy for gastric cancer patients with GLIM-defined malnutrition.

PURPOSE: Malnutrition is common in the patients with gastric cancer. Radical gastrectomy remained the primary strategy of curable treatment for gastric cancer. This study is performed to explore the effect of laparoscopic radical gastrectomy on clinical outcomes in gastric cancer patients with malnutrition. METHODS: Gastric cancer patients with GLIM-defined malnutrition between 2014 and 2019 at our center were enrolled. The patients were divided into two groups according to the different type of surgery. Propensity score match analysis was used to balance the clinicopathologic characteristics of two groups. Postoperative outcomes and survival were compared. Multivariate analysis was used to independent risk factors of complication, overall survival (OS), and disease-free survival (DFS). RESULTS: Compared with patients underwent open radical gastrectomy, patients who underwent laparoscopic radical gastrectomy had lower rate of total, surgical and severe complications. They also had shorter postoperative hospital stay with better OS and DFS. Hypoalbuminemia (P = 0.003) was the independent risk factor of complications. Old age (≥75, P = 0.035) and TNM stage (III: P < 0.001, II: P = 0.015) were the independent risk factors of OS. Combined resection (P = 0.003) and TNM stage (III: P < 0.001, II: P = 0.001) posed independent risk factors of lacking DFS. Laparoscopic surgery proved to be the independent protective factor of complications (P = 0.014), OS (P < 0.001) and DFS (P < 0.001). CONCLUSION: Laparoscopic radical gastrectomy was relative safe and showed favorable outcomes in malnourished gastric cancer patients.

Comparative efficacy and tolerability of targeted and immunotherapy combined with chemotherapy as first-line treatment for advanced gastric cancer: a Bayesian network meta-analysis.

The use of target agents and immune checkpoint inhibitors have changed the treatment landscape for AGC in the first-line setting. However, the crosswise comparison between each regimen is rare. Therefore, we estimated the efficacy and safety of targeted therapy or immunotherapy with chemotherapy in AGC patients as the first-line treatment. Included studies were divided into "average" or "specific positivity" group according to whether the patients were selected by a certain pathological expression. We conducted a Bayesian network meta-analysis for all regimens in both groups. In average group, no regimen showed significant improvements in overall survival (OS) and progression free survival (PFS), while pembrolizumab and nivolumab combined with chemotherapy were ranked first and second respectively without an obvious safety difference. In specific positivity group, zolbetuximab plus chemotherapy significantly prolonged OS (HR 0.53, 95% CI 0.36-0.79) and PFS (HR 0.45, 95% CI 0.25-0.81). The top three regimens were zolbetuximab-chemotherapy, trastuzumab plus pertuzuma-chemotherapy and nivolumab-chemotherapy respectively, with no significant safety risk. For average patients, immune checkpoint inhibitor PD-1 plus chemotherapy will be the promising regimen. For patients with overexpression of CLDN18.2, zolbetuximab combined with chemotherapy comes with greater survival benefits, while for patients who have PD-L1 expression with no HER-2 or CLDN18.2 positivity, additional immune checkpoint inhibitor of PD-1 will be a good considered option.

Coexistence of GLIM-defined malnutrition and sarcopenia have negative effect on the clinical outcomes in the elderly gastric cancer patients after radical gastrectomy.

Background: Malnutrition and sarcopenia are common in elderly gastric cancer patients, which are also interrelated and affect each other. We aimed to determine the characteristics of coexistence of malnutrition and sarcopenia in the elderly gastric cancer patients and investigate the predictive roles of malnutrition and sarcopenia on clinical outcomes. Methods: Between 2014 and 2019, a total of 742 elderly gastric cancer patients were enrolled. Malnutrition and sarcopenia were diagnosed according to the most recent diagnostic criteria. Patients were divided into four groups according to presence of these two symptoms. Clinical characteristics, short- and long-term outcomes were compared among four groups. The independent risk factors for complications and survival were evaluated using univariate and multivariate analyses. Results: Of all patients, 34.8% were diagnosed with malnutrition and 34.0% were diagnosed with sarcopenia. Patients with both malnutrition and sarcopenia had the highest rate of total (P < 0.001), surgical (P = 0.003), and medical complications (P = 0.025), and the highest postoperative hospital stays (P < 0.001) and hospitalization costs (P < 0.001). They also had the worst overall survival (P < 0.0001) and disease-free survival (P < 0.0001). Sarcopenia and Charlson Comorbidity Index (≥2) were independent risk factors for total complications. Hypoalbuminemia and malnutrition were non-tumor-related independent risk factors for overall survival and disease-free survival. Conclusions: Malnutrition and sarcopenia had superimposed negative effects on elderly gastric cancer patients. Preoperative geriatric evaluation including screening for malnutrition and sarcopenia are recommended for all elderly gastric cancer patients for accurate treatment strategy.

The Association Between Visceral Obesity and Postoperative Outcomes in Elderly Patients With Colorectal Cancer.

Background: The impact of visceral obesity on the postoperative complications of colorectal cancer in elderly patients has not been well studied. This study aims to explore the influence of visceral obesity on surgical outcomes in elderly patients who have accepted a radical surgery for colorectal cancer. Methods: Patients aged over 65 year who had undergone colorectal cancer resections from January 2015 to September 2020 were enrolled. Visceral obesity is typically evaluated based on visceral fat area (VFA) which is measured by computed tomography (CT) imaging. Univariate and multivariate analyses were performed to analyze parameters related to short-term outcomes. Results: A total of 528 patients participated in this prospective study. Patients with visceral obesity exhibited the higher incidence of total (34.1% vs. 18.0%, P < 0.001), surgical (26.1% vs. 14.6%, P = 0.001) and medical (12.6% vs. 6.7%, P = 0.022) complications. Based on multivariate analysis, visceral obesity and preoperative poorly controlled hypoalbuminemia were considered as independent risk factors for postoperative complications in elderly patients after colorectal cancer surgery. Conclusions: Visceral obesity, evaluated by VFA, was a crucial clinical predictor of short-term outcomes after colorectal cancer surgery in elderly patients. More attentions should be paid to these elderly patients before surgery.

ZIC2 promotes colorectal cancer growth and metastasis through the TGF-ß signaling pathway.

ZIC2 is involved in the tumor progression of many types of cancers. The role of ZIC2 in the metastasis of colorectal cancer and its mechanism are not yet clear. In this study, we found that high ZIC2 expression was not only associated with poor prognosis, relapse-free survival and advanced metastasis but was also an independent prognostic factor in colorectal cancer patients. Moreover, ZIC2 knockdown inhibited cell proliferation, migration and invasion, while the upregulation of ZIC2 had the opposite effect in vitro. ZIC2 overexpression induced TGF-ß1 expression and increased Smad3 phosphorylation. The carcinogenic effects of elevated ZIC2 expression can be eliminated by interfering with the TGF-ß1 receptor with inhibitors. This further verified the promoting effect of ZIC2 on the TGF-ß signaling pathway. In vivo experiments have also confirmed that ZIC2 can promote liver metastases of colorectal cancer. The results suggest that ZIC2 is associated with poor prognosis and relapse-free survival in colorectal cancer patients. Moreover, ZIC2 promoted colorectal cancer progression and metastasis by activating the TGF-ß signaling pathway. Hence, ZIC2 is expected to be a new therapeutic and prognostic target for colorectal cancer in the future.

Effect of GLIM-defined malnutrition on postoperative clinical outcomes in patients with colorectal cancer.

BACKGROUND: Malnutrition is common in colorectal cancer patients. Malnutrition is recognized as a risk factor for adverse postoperative outcomes, yet there are no consistent diagnostic criteria for it. Thus, the Global Leadership Initiative on Malnutrition published new universal criteria. We aimed to investigate the prevalence of malnutrition with the application of Global Leadership Initiative on Malnutrition criteria, and explore the correlations between Global Leadership Initiative on Malnutrition-defined malnutrition and postoperative clinical outcomes in colorectal cancer patients. METHODS: We included a cohort of 918 patients who underwent radical resection surgery for colorectal cancer from July 2014 to October 2019. Malnutrition was diagnosed based on the Global Leadership Initiative on Malnutrition criteria. The associations between nutritional status and postoperative clinical outcomes were analyzed by the Kaplan-Meier method, logistic and Cox regression analyses. RESULTS: Among the included patients, 23.6% were diagnosed as malnutrition based on Global Leadership Initiative on Malnutrition criteria. Global Leadership Initiative on Malnutrition-defined malnutrition was associated with total postoperative complications [odds ratio: 1.497 (1.042-2.152), P = 0.029]. Further, Global Leadership Initiative on Malnutrition-diagnosed malnutrition was an independent risk factor for overall survival [hazard ratio: 1.647 (1.048-2.587), P = 0.030] and disease-free survival [hazard ratio: 1.690 (1.169-2.441), P = 0.005]. CONCLUSIONS: The Global Leadership Initiative on Malnutrition criteria is effective to assess malnutrition. Preoperative malnutrition is associated with postoperative complications, overall survival and disease-free survival in colorectal cancer patients after radical resection surgery.

Cachexia Versus Sarcopenia in Clinical Characteristics and Prognostic Value After Radical Gastrectomy for Gastric Cancer: A Large-Scale Prospective Study.

BACKGROUND: Sarcopenia and cachexia are two predictors of adverse clinical outcomes, but they are partly overlapping. We aimed to compare the characteristics and prognostic value of cachexia and sarcopenia in patients after gastrectomy. METHODS: From 2014 to 2019, a total of 1215 gastric cancer patients were enrolled. Cachexia and sarcopenia were diagnosed according to the most recent consensus definitions. Baseline characteristics and clinical outcomes were compared between the two groups. Risk factors of survival were evaluated by Cox regression analysis. RESULTS: Of all patients, 26.5% were diagnosed with cachexia and 19.8% were diagnosed with sarcopenia. Sarcopenia was more prevalent in elderly patients, while cachexia was prone to occur in patients with TMN stage III. Survival curves showed that sarcopenia had adverse effects in patients with TMN stage I and II-III, while cachexia was only associated with poor survival at stages II-III. For the entire cohort, both cachexia and sarcopenia were adverse factors for prognosis. However, for stage I patients, sarcopenia was an independent predictor for overall survival (OS) (HR = 4.939, P < 0.001) and disease-free survival (DFS) (HR = 4.256, P < 0.001), but not cachexia; for stage II-III patients, cachexia was an independent predictor for OS (HR = 1.538, P < 0.001) and DFS (HR = 1.473, P = 0.001), but not sarcopenia. CONCLUSIONS: Sarcopenia and cachexia have different clinical characteristics and prognostic values. For patients with early stage gastric cancer, detection for sarcopenia was more meaningful than cachexia. However, the prognostic significance of cachexia exceeded sarcopenia in advanced cancer.

[Multiple Gastrointestinal Stromal Tumor with Neurofibromatosis Type â :Report of One Case].

Gastrointestinal stromal tumors(GISTs)in the stomach,duodenum,and rectum have low occurrence,and the coexistence GISTs in three parts with neurofibromatosis type Ⅰ(NF-Ⅰ)is even rare.This paper reports a case of GISTs with a family history of NF-Ⅰ.There were multiple nodular masses of different sizes on the patient's face,trunk,and limbs.The patient was admitted due to chest tightness for 5 days and black stools for 1 day.Enhanced CT examination of the abdomen suggested multiple space-occupying lesions in the upper abdomen with multiple small nodules under the abdominal wall,and neurofibromatosis and intestinal stromal tumor cannot be excluded.Finally,surgical pathology confirmed that the multiple tumors in the abdominal cavity were GISTs.The case was confirmed as wild-type GISTs by genetic testing,and the patient recovered well nearly one year after the operation.

Preoperative Fibrosis-4 (FIB-4) Evaluation May Be Helpful to Evaluate Prognosis of Gastric Cancer Patients Undergoing Operation: A Retrospective Study.

BACKGROUND: Liver dysfunction and chronic inflammation influence the prognosis of many tumors and surgical outcomes. This study was performed to determine whether the Fibrosis-4 (FIB-4) index, originally defined as a noninvasive fibrosis marker, can predict the prognosis of patients with gastric cancer undergoing radical gastric cancer surgery. METHODS: We have retrospectively analyzed 594 consecutive patients with gastric cancer who underwent gastrectomy in our database. The FIB-4 index was calculated using laboratory data and age before gastrectomy. The clinical utility of FIB-4 was evaluated by X-tile. Patients were divided into two groups (high and low FIB-4 index groups), and their overall survival (OS) was investigated. Cox regression analysis was used to identify the independent parameters associated with prognosis. Finally, we developed a prognostic prediction model by using R statistical software. RESULTS: A total of 556 patients, including 422 men and 134 women, were enrolled. Of these, 61 (11.0%) and 495 (89.0%) patients had low and FIB-4 indexes, respectively. In addition to the indicators of FIB-4, preoperative age, tumor site, surgical procedure, TNM stage, and postoperative complications were found to be independent predictors of prognosis (P < 0.05). Among patients, the FIB-4 index group had significantly shorter OS (log-rank P = 0.01) than the low FIB-4 index group. This association was also confirmed in the multivariate analysis (hazard ratio, 4.65; 95% confidence interval, 1.07-4.29; P = 0.031). CONCLUSIONS: Preoperative FIB-4 index can predict long-term outcomes of gastric cancer patients who had undergone gastrectomy.