Nutritional status and its correlation to prognosis of nasopharyngeal carcinoma patients in different ages in China: a multicenter cohort study.

Nasopharyngeal carcinoma (NPC) patients usually presented malnutrition under chemoradiotherapy (CRT)/radiotherapy (RT). Few studies stratified by age to investigate the association of nutritional status with overall survival (OS) in NPC patients. This study aimed to explore the nutritional parameters related prognosis of NPC patients in different age. The total 1365 NPC patients were classified into young (18~45), middle-aged (46~60), and old groups (> 60). PG-SGA scores, NRS-2002 scores, Karnofsky performance status scores, anthropometric, and blood indicators (albumin, prealbumin, transferrin, C-reactive protein, hemoglobin, and total lymphocyte) were assessed. Cox regression analysis was performed to evaluate the association between risk factors of nutritional status and the overall survival in different age group of NPC patients. Kaplan-Meier (KM) survival analysis was used to estimate the effect of nutritional indexes on prognosis. The abnormal rate of albumin, prealbumin, hemoglobin, hand grip strength, and calf circumference increased with age. The malnutrition occurred in all age group and low calf circumference (HR, 4.427, 1.167-16.791) was an independent death risk in young adults. Distant metastasis (HR, 4.754, 2.737-8.260), low albumin (HR, 3.530, 1.708-7.296), hand grip strength (HR, 1.901, 1.160-3.115), and the nutritional intervention requirement (NRS-2002 ≥ 3) (HR, 2.802, 1.211-6.483) was significantly correlated with poor OS in NPC patients with middled age adults. Distant metastasis (HR, 2.546, 1.497-4.330), low albumin (HR, 1.824, 0.949-3.507), low hemoglobin (HR, 1.757, 1.015-3.044), low hand grip strength (HR, 1.771, 1.112-2.818), and low calf circumference (HR, 1.951, 1.074-3.545) were associated with increased risk of death in the elderly. KM analysis indicated that over 60 years, distant metastasis, low albumin, low hand grip strength, low calf circumference, and malnutritional risk (NRS-2002 ≥ 3) were correlated to prognosis of NPC patients. Low calf circumference could be a prognosis not only in elderly but also in young adults of NPC patients, whereas low albumin and distant metastasis were the prognostic factors in middle-aged and elderly patients. Patients aged over 60 years exhibited poorer OS compared with young and middle-aged adults.

Cascade Radical Annulation of 2-Alkynylthio(seleno)anisoles with Acetone or Acetonitrile: Synthesis of 3-Acetomethyl- or Cyanomethyl-Substituted Benzothio(seleno)phenes.

An efficient method for the direct preparation of 3-aceto(cyano)methyl-substituted benzothio(seleno)phenes has been achieved through C(sp3)-H bond activation of easily available acetone or acetonitrile and cascade radical cyclization reaction. In this cascade radical cyclization reaction, C(sp2)-C(sp3) and C(sp2)-S bonds, as well as benzenethio(seleno)phene skeletons, can be built along with the cleavage of the C(sp3)-S bond, demonstrating the high step-economics and efficiency of this approach.

Identification of cachexia in lung cancer patients with an ensemble learning approach.

Objective: Nutritional intervention prior to the occurrence of cachexia will significantly improve the survival rate of lung cancer patients. This study aimed to establish an ensemble learning model based on anthropometry and blood indicators without information on body weight loss to identify the risk factors of cachexia for early administration of nutritional support and for preventing the occurrence of cachexia in lung cancer patients. Methods: This multicenter study included 4,712 lung cancer patients. The least absolute shrinkage and selection operator (LASSO) method was used to obtain the key indexes. The characteristics excluded weight loss information, and the study data were randomly divided into a training set (70%) and a test set (30%). The training set was used to select the optimal model among 18 models and verify the model performance. A total of 18 machine learning models were evaluated to predict the occurrence of cachexia, and their performance was determined using area under the curve (AUC), accuracy, precision, recall, F1 score, and Matthews correlation coefficient (MCC). Results: Among 4,712 patients, 1,392 (29.5%) patients were diagnosed with cachexia based on the framework of Fearon et al. A 17-variable gradient boosting classifier (GBC) model including body mass index (BMI), feeding situation, tumor stage, neutrophil-to-lymphocyte ratio (NLR), and some gastrointestinal symptoms was selected among the 18 machine learning models. The GBC model showed good performance in predicting cachexia in the training set (AUC = 0.854, accuracy = 0.819, precision = 0.771, recall = 0.574, F1 score = 0.658, MCC = 0.549, and kappa = 0.538). The abovementioned indicator values were also confirmed in the test set (AUC = 0.859, accuracy = 0.818, precision = 0.801, recall = 0.550, F1 score = 0.652, and MCC = 0.552, and kappa = 0.535). The learning curve, decision boundary, precision recall (PR) curve, the receiver operating curve (ROC), the classification report, and the confusion matrix in the test sets demonstrated good performance. The feature importance diagram showed the contribution of each feature to the model. Conclusions: The GBC model established in this study could facilitate the identification of cancer cachexia in lung cancer patients without weight loss information, which would guide early implementation of nutritional interventions to decrease the occurrence of cachexia and improve the overall survival (OS).

The combination of handgrip strength and CONUT predicts overall survival in patients with gastrointestinal cancer: A multicenter cohort study.

BACKGROUND: The controlled nutritional status score (CONUT) and handgrip strength (HGS) were both predictive indexes for the prognosis of cancers. However, the combination of CONUT and HGS for predicting the prognosis of gastrointestinal cancer had not been developed. This study aimed to explore the combination of CONUT and HGS as the potential predictive prognosis in patients with gastric and colorectal cancer. METHODS: A cohort study was conducted with gastric and colorectal cancer patients in multicenter in China. Based on the optimal HGS cutoff value for different sex, the HGS cutoff value was determined. The patients were divided into high and low HGS groups based on their HGS scores. A CONUT score of 4 or less was defined as a low CONUT, whereas scores higher than 4 were defined as high CONUT. The Kaplan-Meier method was used to create survival curves, and the log-rank test was used to compare time-event relationships between groups. A Cox proportional hazard regression model was used to determine independent risk factors for overall survival (OS). RESULTS: A total 2177 gastric and colorectal patients were enrolled in this study, in which 1391 (63.9%) were men (mean [SD] age, 66.11 [11.60] years). Multivariate analysis revealed that patients with high HGS had a lower risk of death than those with low HGS (hazard ratio [HR],0.87; 95% confidence interval [CI], 0.753-1.006, P = 0.06), while high CONUT had a higher risk of death than those with low CONUT (HR, 1.476; 95% CI, 1.227-1.777, P < 0.001). Patients with both low HGS and high CONUT had 1.712 fold increased risk of death (HR, 1.712; 95% CI, 1.364-2.15, P < 0.001). Moreover, cancer type and sex were stratified and found that patients with high CONUT and low HGS had lower survival rate than those with low CONUT and high HGS in both gastric or colorectal cancer, and both male and female. CONCLUSION: A combination of low HGS and high CONUT was associated with poor prognosis in patients with gastrointestinal cancer, which could probably predict the prognosis of gastrointestinal cancer more accurate than HGS or CONUT alone.

Identification of immune-associated genes involved in latent Mycobacterium marinum infection.

Tuberculosis (TB) is a high mortality infectious disease caused by Mycobacterium tuberculosis (Mtb), and often develops into latent infection. About 5～10% of latent infections turn into active tuberculosis when the host immune system becomes deficient. Therefore, exploring the latent infection mechanism of Mtb is pivotal for the prevention and treatment of tuberculosis. We first established the zebrafish latent infection model and the chronic infection model utilizing Mycobacterium marinum, which has the highly similar gene background to Mtb. Using the latent infection model, we characterized the gene expression profiles and found 462 genes expressed differentially in the latent period and chronic tuberculosis infection. These differentially expressed genes are involved in various biological processes including transcription, transcriptional regulation, organism development, and immune responses. Among them, nineteen immune-related genes were found to express differentially in the latent period. By analyzing immune related protein network, the genes in the center of the network, including Nos2b, TNFα, IL1, TNFß, TLR1, TLR2, and TLR4b, displayed significant deferential expression in latent infection and chronic infection period of zebrafish, suggesting that these genes might play an important role in controlling latent infection of Mtb. Identifying immune biomarker related to the status of tuberculosis latent infection might lead to novel strategy for diagnosis and treatment.

Visible-Light-Induced α-Amino C-H Bond Arylation Enabled by Electron Donor-Acceptor Complexes.

Enabled by electron donor-acceptor complexes, a novel visible-light-induced α-amino C-H bond arylation protocol, without a photoredox catalyst, has been disclosed. The protocol does not require any transition metal, oxidant, or exclusion of oxygen or moisture. A direct irradiation of the mixture of tertiary amines and benzonitriles with visible light in N,N-diethylethanamide in the presence of Cs2CO3 afforded α-arylated amines in good to excellent yields.