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Aging is accompanied by muscle loss. In older adults with cancer sarcopenia (OACS), systemic inflammation, reduced food intake, and reduced physical activity led to a poor prognosis. This study was to investigate the prognostic ability of the inflammatory Geriatric Nutritional Risk Index (GNRI), which combines patient's inflammation, diet status, and physical activity status to predict overall survival of OACS.This prospective multi-center study enrolled 637 OACS, with an average age of 72.78 ± 5.98 years, of which 408 (64.1%) were males. We constructed the Inflammatory Functional Prognostic Index (IFPI) of OACS based on inflammatory GNRI scores, reduced food intake, and reduced physical activity. According to the IFPI, OACS was divided into high-, moderate-, and low-risk groups. Univariate and multivariate survival analyses analyzed the prognostic ability of the clinical parameters.Compared with OACS with a high GNRI score, the 1-, 3-, and 5-year hazard ratios (95% confidence interval) of OACS with a low GNRI score was 1.816 (1.076-3.063), 1.678 (1.118-2.518), and 1.627 (1.101-2.407), respectively. This result was consistent with that of the calibration curve. The subgroup analysis showed that the low GNRI score had a significant positive relation with patients with gastrointestinal cancer (PThe GNRI score was a short-term and long-term inflammatory prognostic indicator for OACS. The IFPI score could improve patient survival prediction.

Background Depression is a common psychological disorder worldwide. Previous studies have explored the benefits of polyunsaturated fatty acids (PUFAs) in depression; however, few studies have focused on the association between different fatty acids and depression. Therefore, we explored the effect of the intake of different fatty acids on the risk of depression. Methods The study was based on the data from the 2005–2018 National Health and Nutrition Examination Survey (NHANES). We used a nutrient residual model and multivariate nutrient density model. We calculated the nutrient density and residual in men and women separately, and the fatty acid intake was divided into quartiles based on the sex distribution. The relationship between depression and different fatty acids was examined using logistic regression; furthermore, we explored the relationships in men and women. Results Monounsaturated fatty acids (MUFAs) and PUFAs, particularly n-3 and n-6 PUFAs, were associated with reduced odds ratios for depression, in contrast to total fatty acids (TFAs). The protective effect against depression of TFAs, MUFAs, PUFAs, and n-3 and n-6 PUFAs was stronger in women. Conclusion A higher intake of fatty acids, including MUFAs and PUFAs, may protect against depression, especially in women.

Brain metastasis (BM) genetically diverges from the primary tumor in non-small-cell lung cancer (NSCLC). Hence, accurately capturing clinically relevant alterations is pivotal for the delivery of targeted therapies. Circulating tumor DNA (ctDNA) sequencing has emerged as a promising liquid biopsy in the biomarker-based clinical management of recurrent and extracranial metastatic NSCLC. However, absence of simultaneous sequencing data from brain metastatic sites prevents the definitive evaluation of the efficacy of ctDNA representing genetic profiles in BM. Here, we performed parallel genomic comparisons between matched BM and primary tumor DNA, plasma ctDNA, and cerebrospinal fluid (CSF) ctDNA. The results indicated that CSF ctDNA had a greater ability than plasma ctDNA in comprehensively representing the mutational landscape of BM, with CSF ctDNA detecting all BM mutations in 83.33% of patients while plasma ctDNA was only 27.78%. Mutant allele frequency (MAF) in CSF ctDNA was highly correlated with the tumor size of BM (r = 0.95), and the mean MAF in CSF ctDNA was more abundant than that in plasma ctDNA (38.05% vs. 4.57%). MAF and tumor mutational burden (TMB) in CSF ctDNA were strongly associated with those in BM (r = 0.96 and 0.97, respectively). Of note, CSF ctDNA had significantly higher concordance with BM than plasma ctDNA (99.33% vs. 67.44%), facilitating the identification of clinically relevant mutations. Moreover, we found that plasma ctDNA has stronger profiling performance with a concordance of 93.01% in multiple brain metastases, equivalent to CSF ctDNA. Collectively, our study indicates that CSF ctDNA is superior to plasma ctDNA in accurately represent the profiling of single BM, plasma ctDNA could be an alternative liquid biopsy material to be applied in multiple brain metastatic NSCLC.

Overweight or obese cancer patients are more likely to develop a proinflammatory status. The aim of this study was to investigate whether the nutrition-inflammation marker can provide additional prognostic information on top of well-established Eastern Cooperative Oncology Group performance status (ECOG-PS) in overweight or obese patients with cancer.A total of 1667 overweight or obese cancer patients were enrolled in this study. We assessed the prediction accuracy of 10 nutrition-inflammation markers by time-dependent receiver operating characteristic (ROC) and elucidated their association with overall survival by the Kaplan-Meier method and a Cox model.In this analysis, the majority of patients had a good performance status (ECOG-PS score ≤1; 88.3%). Both the area under ROC curves and the C-index of the lymphocyte-C-reactive protein ratio (LCR) demonstrated that LCR was the most significant nutrition-inflammation marker correlated with survival. In patients with good ECOG-PS, a low LCR was significantly associated with poorer prognosisand enhanced the predictive ability of one-year mortality. For specific tumor types, a low LCR was an independent prognostic factor for lung cancer, upper gastrointestinal cancer, and colorectal cancer, and it tended to be a significant predictor for breast cancer. In addition, those patients with a combined low LCR and poorer ECOG-PS (ECOG-PS score1) showed the worst prognosis.The LCR is more strongly associated with overall survival than other nutrition-inflammation markers, and it is able to further detect patients with worse prognosis on top of ECOG-PS in overweight or obese patients with cancer.

The levels of platelet-related inflammation indicators and sarcopenia have been reported to affect the survival of patients with cancer. To evaluate the prognostic influence of platelet count (PLT), platelet lymphocyte ratio (PLR), and systemic immune inflammation index (SII), and SII combined with sarcopenia on the survival of patients with gastric cancer (GC).A total of 1133 patients with GC (812 male and 321 female, average age: 59.43 years) were evaluated. Receiver-operating characteristic curves were used to determine the best cutoff values of PLT, PLR, and SII, and univariate and multivariate Cox risk regression models were used to evaluate whether SII is an independent predictor of overall survival (OS). The prognostic SS (SII-sarcopenia) was established based on SII and sarcopenia. Finally, a comprehensive analysis of the prognostic SS was performed.SII had the strongest prognostic effect. The SII and OS of patients with GC were in an inverted U-shape (adjusted HR = 1.07; 95% CI 0.97-1.19; adjusted P = 0.179). In patients with SII 1800, SII was negatively correlated with OS (adjusted HR = 0.57; 95% CI 0.29-1.12; adjusted P = 0.102), however, there is no statistical difference. Interestingly, a high SS was associated with a poorer prognosis. The higher the SS score was, the worse the OS (P 0.001).SII is an independent prognostic indicator of GC, and high SII is related to poor prognosis. A higher SS score had worse survival. Thus, the prognostic SS is a reliable predictor of OS in patients with GC.

To investigate the prognostic value of systemic inflammation and insulin resistance in women with breast cancer with different body mass index (BMI). This multicenter, prospective study included 514 women with breast cancer. Multivariate survival analysis showed that patients with high C-reactive protein (CRP), high CRP to albumin ratio (CAR), high lymphocyte to CRP ratio (LCR), high low-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (LHR), and high triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-c) were significantly associated with worse prognosis. The mortality rate of patients with both high CAR and high LHR or both low LCR and high LHR were 3.91-fold or 3.89-fold higher than patients with both low CAR and low LHR or both high LCR and low LHR, respectively. Furthermore, the combination of LCR and LHR significantly predicted survival in patients within the high BMI group. The CRP, CAR, LCR, LHR, and TG/HDL-c were associated with poor survival in women with breast cancer. The combination of CAR and LHR or LCR and LHR could better predict the prognostic outcomes of women with breast cancer, while the combination of LCR and LHR could better predict the prognosis of those patients with overweight or obese patients.

PurposePrevious studies have shown that both hand grip strength (HGS) and the modified Glasgow Prognostic Score (mGPS) are associated with poor clinical outcomes in patients with liver cancer. In spite of this, no relevant studies have been conducted to determine whether the combination of HGS and mGPS can predict the prognosis of patients with liver cancer. Accordingly, this study sought to explore this possibility.MethodsThis was a multicenter study of patients with liver cancer. Based on the optimal HGS cutoff value for each sex, we determined the HGS cutoff values. The patients were divided into high and low HGS groups based on their HGS scores. An mGPS of 0 was defined as low mGPS, whereas scores higher than 0 were defined as high mGPS. The patients were combined into HGS-mGPS groups for the prediction of survival. Survival analysis was performed using Kaplan–Meier curves. A Cox regression model was designed and adjusted for confounders. To evaluate the nomogram model, receiver operating characteristic curves and calibration curves were used.ResultsA total of 504 patients were enrolled in this study. Of these, 386 (76.6%) were men (mean [SD] age, 56.63 [12.06] years). Multivariate analysis revealed that patients with low HGS and high mGPS had a higher risk of death than those with neither low HGS nor high mGPS (hazard ratio [HR],1.50; 95% confidence interval [CI],1.14–1.98; p = 0.001 and HR, 1.55; 95% CI, 1.14–2.12, p = 0.001 respectively). Patients with both low HGS and high mGPS had 2.35-fold increased risk of death (HR, 2.35; 95% CI, 1.52–3.63; p ConclusionA combination of low HGS and high mGPS is associated with poor prognosis in patients with liver cancer. The combination of HGS and mGPS can predict the prognosis of liver cancer more accurately than HGS or mGPS alone. The nomogram model developed in this study can effectively predict the survival outcomes of liver cancer.

Background The relationship between muscle and prognosis, especially that between muscle distribution across different body parts, and the related prognosis is not well established. Objective To investigate the relationship between muscle distribution and all-cause and cause-specific mortality and their potential modifiers. Design Longitudinal cohort study. C-index, IDI, and NRI were used to determine the best indicator of prognosis. COX regression analysis was performed to explore the relationship between variables and outcomes. Interaction and subgroup analyses were applied to identify the potential modifiers. Participants A total of 5052 participants (weighted: 124,841,420) extracted from the NHANES 2003–2006 of median age 45 years and constituting 50.3% men were assessed. For validation, we included 3040 patients from the INSCOC cohort in China. Main measures Muscle mass and distribution. Key Results COX regression analysis revealed that upper limbs (HR = 0.41, 95% CI 0.33–0.51), lower limbs (HR = 0.54, 95% CI 0.47–0.64), trunk (HR = 0.71, 95% CI, 0.59–0.85), gynoid (HR = 0.47, 95% CI 0.38–0.58), and total lean mass (HR = 0.55, 95% CI 0.45–0.66) were all associated with the better survival of participants (P trend < 0.001). The changes in the lean mass ratio of the upper and lower limbs and the lean mass ratio of the android and gynoid attenuated the protective effect of lean mass. Age and sex acted as potential modifiers, and the relationship between lean mass and the prognosis was more significant in men and middle-aged participants when compared to that in other age groups. Sensitive analyses depicted that despite lean mass having a long-term impact on prognosis (15 years), it has a more substantial effect on near-term survival (5 years). Conclusion Muscle mass and its distribution affect the prognosis with a more significant impact on the near-term than that on the long-term prognosis. Age and sex acted as vital modifiers.

BackgroundCentral obesity is closely related to comorbidity, while the relationship between fat accumulation pattern and abnormal distribution in different parts of the central region of obese people and comorbidity is not clear. This study aimed to explore the relationship between fat distribution in central region and comorbidity among obese participants.MethodsWe used observational data of NHANES 2011–2018 to identify 12 obesity-related comorbidities in 7 categories based on questionnaire responses from participants. Fat distribution is expressed by fat ratio, including Android, Gynoid, visceral, subcutaneous, visceral/subcutaneous (V/S), and total abdominal fat ratio. Logistic regression analysis were utilized to elucidate the association between fat distribution and comorbidity.ResultsThe comorbidity rate was about 54.1% among 4899 obese participants (weighted 60,180,984, 41.35 ± 11.16 years, 57.5% female). There were differences in fat distribution across the sexes and ages. Among men, Android fat ratio (OR, 4.21, 95% CI, 1.54–11.50, Ptrend=0.007), visceral fat ratio (OR, 2.16, 95% CI, 1.42–3.29, Ptrendtrendtrend=0.001) and subcutaneous fat ratio (OR, 0.81, 95%CI, 0.67–0.98, Ptrend=0.016) both performed a protective role in the risk of comorbidity. In women, Android fat ratio (OR, 4.65, 95% CI, 2.11–10.24, Ptrend=0.020), visceral fat ratio (OR, 1.83, 95% CI, 1.31–2.56, Ptrend=0.001), and V/S (OR, 1.80, 95% CI, 1.32–2.45, Ptrend=0.020) were also independent risk factors for comorbidity, with a dose-response relationship similar to that of men. Only the Gynoid fat ratio (OR, 0.93, 95% CI, 0.87–0.99, Ptrend=0.016) had a protective effect on female comorbidity. This association was also seen in obese participants of different age groups, comorbidity numbers, and comorbidity types, although it was more statistically significant in older, complex comorbidity, cardiovascular, cerebrovascular, and metabolic diseases.ConclusionsIn the obese population, there were strong correlation between fat distribution in central region and comorbidity, which was affected by sex, age, number of comorbidities, and type of comorbidity.

cancer, and inflammatory indicators derived from complete blood cells are more economical and efficient. Patients with gastrointestinal cancer undergoing surgery are prone to metabolic disorders and malnutrition owing to gastrointestinal anatomical changes. Therefore, we aimed to select the best prognostic inflammatory index and explore the relationship between systemic inflammation and the prognosis of patients with gastrointestinal cancer undergoing surgery. Methods: This prospective multicenter cohort study included 1165 participants from 4040clinical medical centers. The median age of participants was 61.0 (52.0, 68.0) years, and 775 were men. Five inflammation indices were used, and their cutoff values were calculated using maximally selected log-rank statistics. The concordance index (c-index) and receiver operating characteristic (ROC) curve were used to compare the accuracies of the different models. Cox regression analysis was used to examine the association between the platelet–lymphocyte ratio (PLR) and the overall survival (OS) of patients. Subgroup analysis was then conducted to examine the OS in different populations, and interaction analysis was performed. We also investigated the relationship between PLR and intensive care unit (ICU) admission. Results: The c-index and prognostic ROC curve showed that PLR was superior to the neutrophil–lymphocyte ratio, prognostic nutritional index, advanced lung cancer inflammation index, and systemic immune-inflammatory index. After adjustment for potential confounders, a high PLR (hazards ratio 1.61, 95% confidence interval=1.24–2.09, pConclusion: PLR may be a better prognostic indicator for gastrointestinal cancer patients undergoing surgery. Patients with a high PLR had a worse prognosis.

Background Precisely predicting the short- and long-term survival of patients with cancer is important. The tumor-node-metastasis (TNM) stage can accurately predict the long-term, but not short-term, survival of cancer. Nutritional status can affect the individual status and short-term outcomes of patients with cancer. Our hypothesis was that incorporating TNM stage and nutrition-related factors into one nomogram improves the survival prediction for patients with colorectal cancer (CRC). Method This multicenter prospective primary cohort included 1373 patients with CRC, and the internal validation cohort enrolled 409 patients with CRC. Least absolute shrinkage and selection operator regression analyses were used to select prognostic indicators and develop a nomogram. The concordance (C)-index, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to assess the prognostic discriminative ability of the nomogram, TNM stage, Patient-Generated Subjective Global Assessment (PGSGA), and TNM stage + PGSGA models. The overall survival (OS) curve of risk group stratification was calculated based on the nomogram risk score. Results TNM stage, radical resection, reduced food intake, activities and function declined, and albumin were selected to develop the nomogram. The C-index and calibration plots of the nomogram showed good discrimination and consistency for CRC. Additionally, the ROC curves and DCA of the nomogram showed better survival prediction abilities in CRC than the other models. The stratification curves of the different risk groups of the different TNM categories were significantly different. Conclusion The novel nomogram showed good short- and long-term outcomes of OS in patients with CRC. This model provides a personalized and convenient prognostic prediction tool for clinical applications.

This study aims to explore the relationship between chronic hepatitis B virus (HBV) infection and the risk of gastrointestinal (GI) cancers including liver, gastric, gallbladder or extrahepatic bile duct, pancreatic, small intestine, esophageal, and colorectal cancer in the Kailuan Cohort study. We prospectively examined the relationship between HBV infection and new-onset GI cancers among 93,402 participants. Cox proportional hazards regression models, subgroup analyses and competing risk analyses were used to evaluate the association between HBV infection and the risk of new-onset GI cancers. During a median follow-up of 13.02 years, 1,791 incident GI cancer cases were diagnosed. Compared with HBsAg seronegative participants, a significant positive association between HBV infection and GI cancers was observed in the multivariate-adjusted models (HR 5.59, 95% CI: 4.84-6.45). In the site-specific analyses, participants with HBsAg seropositive exhibited an increased risk of liver cancer (HR = 21.56, 95% CI: 17.32-26.85), gallbladder or extrahepatic bile duct cancer (HR = 14.89, 95% CI: 10.36-21.41), colorectal cancer (HR = 1.75, 95% CI: 1.15-2.96), and pancreatic cancer (HR = 1.86, 95% CI: 1.10-3.99). After taking death as the competing risk event, the associations of HBV infection with the risk of these cancers were attenuated but remained significant both in the cause-specific hazards (CS) models, the sub-distribution proportional hazards (SD) models and sensitivity analyses. This study suggests that HBV infection is associated with the elevated risk of liver cancer and extrahepatic cancer including gallbladder or extrahepatic bile duct, pancreatic, and colorectal cancer among adults in Northern China. This article is protected by copyright. All rights reserved.

Four new N-methyl-4-quinolones (1–4) and a new citrinin dimer derivative (10) with fourteen known compounds (5–9, 11–19) were isolated from the sponge-derived fungus Penicillium sp. SCSIO41303. Their structures and absolute configurations were elucidated by extensive spectroscopic analysis, electronic circular dichroism (ECD) calculation, and X-ray single-crystal diffraction. Most of the isolated compounds were evaluated for their cytotoxic, antibacterial, anti-virus, and enzyme inhibitory activities against acetylcholinesterase (AChE), and pancreatic lipase (PL). Compounds 2 and 11 exhibited enzyme inhibition activity against PL with IC50 values of 24.6 and 7.2 μg/mL, respectively. Besides, compound 11 showed enzyme inhibition activity against AChE with IC50 value of 16.5 μg/mL. Compound 15 showed moderate inhibition activities with 52.2% at the concentration of 50 μg/mL against PL and antibacterial activity against Staphylococcus aureus displaying diameter of about 10 mm.

Background Systemic inflammation and cachexia are associated with adverse clinical outcomes in elderly patients with cancer. The Geriatric Nutritional Risk Index (GNRI) is a simple and useful tool to assess these conditions, but its predictive ability for elderly patients with cancer cachexia (EPCC) is unknown. Methods This multicentre cohort study included 746 EPCC with an average age of 72.00 ± 5.24 years, of whom 489 (65.5%) were male. The patients were divided into two groups (high GNRI group ≥91.959 vs. low GNRI group

Background Although systemic inflammation is an important feature of the cancer cachexia, studies on the association between systemic inflammation and prognostic of cancer cachexia are limited. The objective of this study is to evaluate whether the neutrophil‐to‐lymphocyte ratio (NLR) is associated with outcome and quality of life for patients with cancer cachexia and investigated any interaction between NLR and the clinical parameters. Methods This is a multicentre cohort study of 2612 cancer patients suffering from cachexia diagnosed between June 2012 and December 2019. The main parameters measured were overall survival (OS) time and all‐cause mortality. The association between NLR and all‐cause mortality was evaluated using hazard ratios (HRs) and the restricted cubic spline model with a two‐sided P‐value. Optimal stratification was used to solve threshold points. We also evaluated the cross‐classification of NLR for each variable of survival. Results Of the 2612 participants diagnosed with cancer cachexia, 1533 (58.7%) were male, and the mean (SD) age was 58.7 (11.7) years. Over a median follow‐up of 4.5 years, we observed 1189 deaths. The overall mortality rate for patients with cancer cachexia during the first 12 months was 30.2% (95%CI: 28.4%–32.0%), resulting in a rate of 226.07 events per 1000 patient‐years. An increase in NLR had an inverted L‐shaped dose–response association with all‐cause mortality. The optimal cut‐off point for NLR as a predictor of mortality in cancer patients with cachexia was 3.5. An NLR of 3.5 or greater could independently predict OS (HR, 1.51, 95%CI: 1.33–1.71). These associations were consistent across subtypes of cancer. Several potential effect modifiers were identified including gender, BMI, tumour type, KPS score and albumin in content. Increasing NLRs were independently associated with a worsening in the majority of EORTC QLQ‐C30 domains. Elevated baseline NLR was associated with low response and poor survival in patients treated with immunotherapy. Conclusions The baseline NLR status was found to be a significant negative prognostic biomarker for patients with cachexia; this effect was independent of other known prognostic factors.

Background This study was sought to report the prevalence of malnutrition in elderly patients with cancer. Validate the predictive value of the nutritional assessment tool (Patient-Generated Subjective Global Assessment Short Form, PG-SGA SF) for clinical outcomes and assist the therapeutic decision. Methods This is a secondary analysis of a multicentric, observational cohort study. Elderly patients with cancer older than 65 years were enrolled after the first admission. Nutritional status was identified using the PG-SGA SF. Results Of the 2724 elderly patients included in the analysis, 65.27% of patients were male (n = 1778); the mean age was 71.00 ± 5.36 years. 31.5% of patients were considered malnourished according to PG-SGA SF. In multivariate analysis, malnutrition(PG-SGA SF > 5) was significantly associated with worse OS (HR: 1.47,95%CI:1.29–1.68), affects the quality of life, and was related to more frequent nutrition impact symptoms. During a median follow-up of 4.5 years, 1176 death occurred. The mortality risk was 41.10% for malnutrition during the first 12 months and led to a rate of 323.98 events per-1000-patient-years. All nutritional assessment tools were correlated with each other (PG-SGA SF vs. PG-SGA: r = 0.98; PG-SGA SF vs. GLIM[Global Leadership Initiative on Malnutrition]: r = 0.48, all P

One new citrinin monomer derivative (1), and two new natural products α-pyrone analogues (2a and 2b), were isolated from the sponge derived fungus Penicillium sp. SCSIO 41302. Their structures were determined by extensive spectroscopic analysis, chiral-phase HPLC analysis, modified Mosher's method, ECD calculations, and X-ray single-crystal diffraction. Bioactivity screening showed that compounds 2b and 8 exhibited obvious inhibitory activities against pancreatic lipase and acetyl cholinesterase with IC50 values of 48.5 and 4.8 μM, respectively, which indicated that different chiral center between enantiomers (2a and 2b) might result in different biological activities (IC50 value against PL for 2a >100 μg/ml).

Background Previous studies have observed a close association between hepatitis B virus (HBV) infection and hepatocellular carcinoma (HCC) as well as extrahepatic cancers. However, research concerning the effect of HBV infection on the risk of colorectal cancer (CRC) is rare and inconsistent. This study aims to determine the relationship between HBV infection and new-onset CRC. Methods We prospectively examined the relationship between HBV infection and new-onset CRC among 93,390 participants from Kailuan Cohort study. Cox proportional hazards regression models, subgroup analyses and competing risk analyses were used to evaluate the association between HBV infection and the risk of new-onset CRC. Results During a median follow-up of 11.28 years, 448 incident CRC cases were identified. The adjusted HR (95%confidence interval (CI)) for the association of HBsAg Seropositive with CRC was 1.85(1.15 ~ 2.96) in the Cox regression. Subgroup analyses showed that the HBsAg seropositive group was associated with increased risk of new-onset CRC among male, middle-aged, normal weight, smokers and non-drinker participants, respectively. A positive association of HBV infection with the risk of CRC was observed in the adjusted sub-distribution proportional hazards (SD) models (HRSD = 1.77, 95% CI:1.11–2.84) and cause-specific hazards (CS) models (HRCS = 1.79, 95% CI: 1.13–2.91). Conclusions Our results have found a significant association between HBV infection and the risk of incident CRC among Chinese participants. Trial registration Kailuan study, ChiCTR–TNRC–11001489. Registered 24 August 2011 - Retrospectively registered, http:// http://www.chictr.org.cn/showprojen.aspx?proj=8050

Background: Changes in platelet count (PLT) are strongly associated with patient survival and may be clinically indicative of certain underlying diseases. However, there were few studies on the prognosis of patients with cancer cachexia. Objective: The purpose of this study was to investigate the relationship between PLT and 1-year survival in patients with cancer cachexia. Methods: We performed a nested case-control study of data from a multicenter clinical study of cancer. There were 252 patients with cancer cachexia whose survival time was less than or equal to 1 year and 252 patients with cancer cachexia whose survival time was more than 1 year meeting the inclusion criteria. The mortality risk and the adjusted risk were estimated by logistic regression and displayed as odds ratios (ORs) and 95% confidence intervals (95% CIs). Results: PLT was negatively correlated with 1-year overall survival (OS) of patients with cancer cachexia (increased per standard deviation (SD): OR = 1.29; 95% CI: 1.05-1.60; P = 0.018). The higher the PLT, the lower the OS of patients. When classified by dichotomy (D1 < 296×109/L, D2 ≥ 296×109/L), OS of patients in the D2 group was worse (OR = 2.18; 95% CI: 1.38-3.47; P = 0.001). When classified by quartile (Q1- Q3 < 305×109/L, Q4 ≥ 305×109/L), OS of patients in the Q4 group was poorer (OR = 1.82; 95% CI: 1.14-2.94; P = 0.013). In addition, patients with a low PLT (< 296×109/L) and either a high total bilirubin (TBIL) (≥ 17.1 µmol/L) or a smoking history had poor 1-year survival. Based on our primary cohort study, we conducted a survival analysis of 3130 patients with cancer cachexia and found that OS was better in patients with low PLT (< 296×109/L). Conclusion: PLT was negatively correlated with 1-year overall survival of patients with cancer cachexia.

BackgroundSystemic inflammation and water composition are important factors affecting cancer prognosis. This study aimed to explore the association between the neutrophil-to-lymphocyte ratio (NLR) and intracellular water/total body water (ICW/TBW) ratio and overall survival (OS) in colorectal cancer (CRC).MethodsThis multicenter, prospective cohort included 628 patients with CRC between June 2012 and December 2019. The association between the covariates and OS was assessed using a Cox proportional hazards model and restricted cubic spline models. Concordance index (C-index), which integrated discriminant improvement (IDI) index and continuous net reclassification index, (cNRI) was used to compare the predictive ability of the markers.ResultsThe optimal cutoff values for the NLR and ICW/TBW ratio were 2.42 and 0.61, respectively. The NLR was negatively associated with OS, while the ICW/TBW ratio was positively correlated with OS. NLR ≥2.42 and ICW/TBW ratio ConclusionA high NLR and a low ICW/TBW ratio were independent risk factors for poor prognosis in patients with CRC. The combination of the two factors can provide a better prognostic prediction effect.

Background Systemic inflammation is currently regarded as a hallmark of cancer. This study aimed to accurately clarify the prognostic value of various inflammatory markers in patients with stage IV cancer. Methods This study assessed 2,424 patients with cancer diagnosed with cancer in tumor, node, metastasis (TNM) stage IV. After evaluating the predictive value of 13 inflammatory indicators for patient prognosis using the C index, the lymphocyte C-reactive protein ratio (LCR) was selected to elucidate the prognostic and predictive values in patients with stage IV cancer. Kaplan–Meier and Cox proportional hazards regression models were used to analyze long-term survival. Results A total of 1,457 men (60.1%) and 967 women (39.9%) diagnosed with TNM stage IV cancer were enrolled. A ratio of 2,814 was defined as the optimal cut-off value for the LCR. The LCR was the most accurate prognosis predictor for patients with stage IV cancer among the 13 inflammatory nutritional markers evaluated. The multivariate-adjusted restricted cubic spline plot suggested that LCR had an L-shaped dose–response association with all-cause mortality risk. Patients with lower LCR levels tended to present with worse prognoses. Kaplan–Meier curves and log-rank test results showed that the high LCR groups (LCR ≥ 2,814) exhibited a better prognosis, whereas patients with stage IV cancer of different sex and tumor types (for example, gastrointestinal tumor, non-gastrointestinal tumor, and lung cancer) had a worse survival time. Conclusion The LCR score can be regarded as a stable and useful biomarker to predict prognosis in patients with TNM stage IV compared to other evaluated inflammation indicators.

A new indole diketopiperazine alkaloid, named penilline D (1), together with five known indole alkaloid analogues (2-5, 11), two meroterpenoids (6 and 12), and four butenolide derivatives (7-10), were isolated from the Antarctic fungus Penicillium sp. SCSIO 05705. Extensive spectroscopic analysis and electronic circular dichroism (ECD) calculation were used to elucidate the structure of penilline D (1), including its absolute configuration. All isolated compounds (1-12) were evaluated for their cytotoxic, antibacterial and enzyme inhibitory activities against acetylcholinesterase (AChE) and pancreatic lipase (PL). Among them, compound 5 exhibited moderate in vitro cytotoxic activity against the 143B cell line with IC50 value of 12.64 ± 0.78 μM. Compound 6 showed strong inhibitory activity against AChE with IC50 value of 0.36 nM (IC50 18.7 nM for Tacrine), while compounds 6 and 11 showed weak PL enzyme inhibitory activity. Furthermore, an in silico molecular docking study was also performed between 6 and AChE.

Backgrounds Hand grip strength (HGS) is one of diagnose criteria factors of sarcopenia and is associated with the survival of patients with cancer. However, few studies have addressed the association of HGS and 1 year mortality of patients with cancer cachexia. Methods This cohort study included 8466 patients with malignant solid tumour from 40 clinical centres throughout China. Cachexia was diagnosed using the 2011 International cancer cachexia consensus. The hazard ratio (HR) of all cancer cachexia mortality was calculated using Cox proportional hazard regression models. Kaplan–Meier curves were generated to evaluate the association between HGS and the 1 year mortality of patients with cancer cachexia. The interaction analysis was used to explore the combined effect of low HGS and other factors on the overall survival of patients with cancer cachexia. Results Among all participants, 1434 (16.9%) patients with cancer were diagnosed with cachexia according to the 2011 International cancer cachexia consensus with a mean (SD) age of 57.75 (12.97) years, among which there were 871 (60.7%) male patients. The HGS optimal cut‐off points of male and female patients were 19.87 and 14.3 kg, respectively. Patients with cancer cachexia had lower HGS than those patients without cachexia (P

Despite the known association between muscle mass/function and malnutrition-related mortality in upper gastrointestinal (UGI) cancer, no comprehensive study to determine the impact of muscle mass-dominant nutritional status on cancer prognosis has been conducted. The present study aimed to investigate the prognostic significance of integrated muscle mass and function in UGI cancer.Between July 2013 and March 2018, we enrolled 2546 cancer patients with risks of malnutrition (Nutrition Risk Screening 2002, ≥3 points) from a multicenter cohort study and split 527 patients with primary UGI cancer into an internal validation group. We prospectively performed instant nutritional assessment and recorded all general clinical characteristics of the participants, such as weight loss, body mass index, anthropometric measurements of muscle mass and function, dietary intake conditions, and disease burden and/or inflammation status based on the validated tools. Prognostic analyses were performed with post-assessment overall survival (OS).According to the entire set, UGI cancer was identified as the dominant risk factor for disease burden and inflammation criteria (hazard ratio (HR), 2.08, 95% confidence interval (Cl), 1.81-2.39, P 0.001). Integrated muscle mass/function analysis with validated cutoff values showed that hand grip strength/weight followed by triceps skinfold thickness and maximum calf circumference are the most potent predictors. Univariate and multivariate analyses revealed that reduced muscle mass/function (74.8%) and dietary intake (66.2%) independently affect OS of patients with UGI cancer. Significant associations were found between the reduced muscle mass/reduced dietary intake and the shortest OS (HR, 4.48; 95% Cl, 3.07-6.53; P 0.001). Appending subgroups of muscle mass/function and dietary intake to the pre-existing risk model increased the efficiency of the time-dependent receiver operating characteristic curve analysis for OS in UGI cancer, particularly within 2 years of instant nutritional assessment.Impaired muscle mass/function adversely affects the near-term prognosis in patients with UGI cancer. Along with a comprehensive evaluation of dietary intake conditions, the timely nutritional assessment might be useful for risk stratification of UGI cancers with potential for enteral and parenteral nutrition interventions.ChiCTR1800020329.

Xiao-Yue Liu,1– 4,&ast; Xi Zhang,1– 3,5,&ast; Guo-Tian Ruan,1– 3 Kang-Ping Zhang,1– 3 Meng Tang,1– 3 Qi Zhang,1– 3 Meng-Meng Song,1– 3 Xiao-Wei Zhang,1– 3 Yi-Zhong Ge,1– 3 Ming Yang,1– 3 Hong-Xia Xu,6 Chun-Hua Song,7 Han-Ping Shi1– 3 1Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People’s Republic of China; 2Department of Oncology, Capital Medical University, Beijing, 100038, People’s Republic of China; 3Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, People’s Republic of China; 4School of Clinical Medicine, Hebei University, Baoding, 071000, People’s Republic of China; 5Department of Radiotherapy, Affiliated Hospital of Hebei University, Baoding, 071000, People’s Republic of China; 6Department of Clinical Nutrition, Daping Hospital, Army Medical University, Chongqing, 400042, People’s Republic of China; 7Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Han-Ping ShiDepartment of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People’s Republic of ChinaEmail shihp@ccmu.edu.cnPurpose: Serum albumin can indicate the onset of cancer cachexia, provide information about a patient’s nutritional status, and serve as a biomarker for the prognosis of patients with cancer cachexia. However, the relationship between serum albumin levels and mortality in patients with cancer cachexia remains unclear. We aimed to examine the association of albumin and total protein with 1-year mortality in patients with cancer cachexia.Patients and Methods: We conducted a nested case–control study using data from a multicenter cancer clinical survey from 2013 to 2018. In total, 266 patients with cancer cachexia who survived for < 1 year and 266 patients who survived for ≥ 1 year were included in this study. The participants were matched by age, sex, tumor type, tumor stage, and hospital site. The crude and adjusted risks of 1-year survival were estimated using odds ratios (ORs) and 95% confidence intervals (95% CIs) using logistic regression, with or without adjustment for covariates.Results: Logistic regression analysis revealed a significantly negative linear association between albumin level and 1-year mortality in patients with cancer cachexia (p < 0.001). An L-shaped relationship existed between total protein and 1-year mortality, with a turning point at 70.4 g/L. When albumin was divided into quartiles, Q3 (OR: 0.40; 95% CI: 0.24, 0.68; p < 0.001) and Q4 (OR: 0.33; 95% CI: 0.19, 0.55; p < 0.001) were associated with higher 1-year survival than Q1 among patients with cancer cachexia. When total protein was divided into quartiles, Q2 (OR: 0.38; 95% CI: 0.23, 0.64; p < 0.001), Q3 (OR: 0.57; 95% CI: 0.33, 0.96; p = 0.035), and Q4 (OR: 0.43; 95% CI: 0.25, 0.72; p = 0.002) were associated with higher 1-year survival than Q1 among patients with cancer cachexia.Conclusion: Serum albumin and total protein may predict 1-year survival. Future clinical studies should lead to a more comprehensive understanding of the effects of serum protein levels in patients with cancer cachexia.Keywords: nutrition, survival, death, cachectic patients

BackgroundSystemic inflammation and insulin resistance (IR) are closely related in patients with cancer. However, there is no relevant indicator that combines inflammation and IR to predict patient prognosis. Therefore, this study aimed to develop and validate a novel inflammation- and IR-related marker in patients with cancer.MethodsThe total cohort of this study included 5221 patients with cancer, and the training and validation cohorts were randomized in a 7:3 ratio. C-reactive protein (CRP) and fasting triglyceride glucose (TyG) were used to reflect patients’ inflammation and IR status, respectively. The CRP-TyG index (CTI) was composed of CRP and TyG. The concordance (C)-index, receiver operator characteristic (ROC) curve, and calibration curve reflected the prognostic predictive power of CTI. Univariate and multivariate survival analyses predicted the prognostic value of CTI in patients with cancer.ResultsThe C-indices of CTI in patients with cancer were 0.636, 0.617, and 0.631 in the total, training, and validation cohorts, respectively. The 1-, 3-, and 5-year ROC and calibration curves showed that CTI had a good predictive ability of survival in patients with cancer. Meanwhile, patients with high CTI had a worse prognosis compared to patients with low CTI (total cohort: hazard ratio [HR] = 1.46, 95% confidence interval [95% CI] = 1.33–1.59; training cohort: HR = 1.36, 95% CI = 1.22–1.52; validation cohort: HR = 1.73, 95% CI = 1.47–2.04].ConclusionThe CTI is a useful prognostic indicator of poor prognosis and a promising tool for treatment strategy decision-making in patients with cancer.

A new furanone analog, (

To address the issue of not having enough labeled fault data for planetary gearboxes in actual production, this research develops a simulation data-driven deep transfer learning fault diagnosis method that applies fault diagnosis knowledge from a dynamic simulation model to an actual planetary gearbox. Massive amounts of different fault simulation data are collected by creating a dynamic simulation model of a planetary gearbox. A fresh deep transfer learning network model is built by fusing one-dimensional convolutional neural networks, attention mechanisms, and domain adaptation methods. The network model is used to learn domain invariant features from simulated data, thereby enabling fault diagnosis on real data. The fault diagnosis experiment is verified by using the Drivetrain Diagnostics Simulator test bench. The validity of the proposed means is evaluated by comparing the diagnostic accuracy of various means on various diagnostic tasks.

Aim: To construct an edaravone-encapsulated liposomes (EDV-LIPs) formulation against acute ischemic stroke. Methods: EDV-LIPs were prepared by the film dispersion method. The biosafety was evaluated both in vitro and in vivo by flow cytometry and the histological staining method. Biodistribution and therapeutic effect of EDV-LIPs against acute ischemic stroke was investigated by fluorescent imaging, the behavior test, laser speckle imaging and triphenyltetrazolium chloride staining. Results: The nanoliposomes had a long circulation time and could accumulate in the brain lesion region in ischemic stroke rats. EDV-LIPs show good biosafety. EDV-LIPs could restore more cerebral blood flow, reduce infarct volume and decrease neuronal apoptosis. Conclusion: EDV-LIPs provide an effective alternative for drug-targeted delivery against acute ischemic stroke.

Inflammation is involved in the progression and prognosis of cancer because it can affect the physical status and prognosis of patients. Among numerous systemic inflammatory markers, the optimal prognostic indicator of older adults with cancer is still unclear. We aimed to identify an ideal inflammatory immune marker in older adults with cancer and assess the survival outcome combined with eastern cooperative oncology group performance status (ECOG PS).We included 1767 older adults with cancer (66.2% males, 70.97 ± 5.49 years old) from a prospective cohort study. Fifteen systemic inflammatory biomarkers were compared to identify the optimal biomarker using prognostic area under the curve (AUC) and concordance index (C-index) analysis. The prognostic value of the clinical parameters was elucidated by performing uni- and multivariate analyses.The AUC, C-index, and the subgroup survival analysis of ECOG PS groups showed that the lymphocyte-C reactive protein ratio (LCR) and C-reactive protein/albumin ratio (CAR) were more accurate in reflecting patient prognosis than the other 13 inflammatory markers. Compared with patients in the high LCR group, those in the low LCR group had worse survival (hazard ratio (HR) 1.64, 95% confidence interval (95%CI) 1.42-1.91, p 0.001). Compared with patients in the low CAR group, those in the high CAR group had worse survival (HR 1.65, 95% CI 1.43-1.91, p 0.001). Older adults with cancer with an ECOG PS score of 2 or 3-4 and a high inflammation (low LCR, 13.3 months and 9.2 months, respectively; or high CAR, 9.6 months and 9.6 months, respectively) had shorter median survival time compared to those with an ECOG PS score of 0/1 and a low inflammation (high LCR, 77.4 months; or low CAR, 77.0 months).LCR and CAR might be the better predictive immune inflammatory factors for OS, which improved the survival prediction of different ECOG PS groups in older adults with cancer. High ECOG PS (≥2) and high inflammation increased the risk of death in older adults with cancer.

Background Systemic inflammation and insulin resistance (IR) are often associated with poor prognosis in cancer. This study aimed to investigate the prognostic value of surrogate systemic inflammation and IR indices in patients with cancer. Methods This multicenter prospective study included 5,221 patients with cancer, with a mean age of 59.41±11.15 years, of whom 3,061 (58.6%) were male. The surrogate IR indices included low-density lipoprotein cholesterol to high-density lipoprotein cholesterol (LHR) ratio, total cholesterol to high-density lipoprotein cholesterol (TC/ HDL-c) ratio, triglyceride to high-density lipoprotein cholesterol (TG/HDL-c) ratio, and fasting triglyceride glucose (TyG). Prognostic receiver operator characteristic (ROC) curves and C-indices were used to select a better surrogate IR index in patients with cancer. The prognostic value of the indicators was evaluated using univariate and multivariate survival analyses. Results In this study, the median survival time of patients was 44.5 (40.5–51.4) months, and the overall mortality in the 12-month period was 1,115 (53.7%), with 196 mortality events per 1,000 patient-years of patients’ follow-up. The prognostic ROC curve and C-index suggested that the prognostic value of LHR was better than that of the other IR indices. The multivariate-adjusted hazard ratios (HRs) for overall survival (OS) were higher in patients with high C-reactive protein (CRP) (HR, 1.51; 95% confidence interval [CI]: 1.38–1.65) and high LHR (HR, 1.20; 95% CI: 1.06–1.37), respectively. The mortality rate of patients with both high CRP and LHR was 1.75-fold higher than that of patients with both low CRP and LHR. Conclusion Both CRP and LHR showed good survival predictions in patients with cancer. CRP combined with LHR can improve the predictive power of patients with cancer.

A new diketopiperazine, cyclo-(d-8-acetoxyl-Pro-l-Leu) (1), together with eight known compounds (2-9) including three enterotoxins (2-4), four diketopiperazines (5-8) and maltol (9), were isolated from the mangrove derived-soil Streptomyces sp. SCSIO 41400. The planar structures of all compounds were determined from analysis of NMR spectra, MS, optical rotation and comparing with literature data. The absolute configuration of compound 1 was assigned by electronic circular dichroism (ECD). The isolated compounds (1-9) were tested for their acetyl cholinesterase (AChE) and pancreatic lipase (PL) enzyme inhibitory activities. Among them, the new diketopiperazine (1) displayed preferable PL enzyme inhibitory activity with IC50 value of 27.3 μg/mL, while compounds 2, 5 and 6 showed weak PL enzyme inhibitory activity. Further molecular docking simulation exhibited that compound 1 could be well bind with the catalytic pocket of the PL. Besides, compound 9 showed moderate antibacterial activity against Methicillin-resistant Staphylococcus aureus with MIC value of 12.5 μg/mL, which was comparable to that of the positive control ampicillin with MIC value of 3.125 μg/mL.

Multifunctional nanoclusters based on Fe3O4 nanoparticles for magnetic resonance imaging (MRI) and drug delivery are reported here. At first, oleic acid (OA)-coated Fe3O4 nanoparticles were prepared. Then block copolymer Pluronic F127 or folic acid (FA) conjugated-Pluronic F127 was used to modify the hydrophobic nanoparticles to become hydrophilic Fe3O4@F127 nanoclusters via facile ultrasonic treatment. During this process, drug molecules can also be introduced into the nanoclusters and therefore the targeted drug delivery system was formed. Next, we verified the feasibility of the nanoclusters as drug delivery vehicles and magnetic contrast agents. The nanoclusters have an average size of 200 nm and remained stable in water for long periods. Folic acid-modified nanoclusters showed an enhanced intracellular uptake into HepG2 cells by using both cellular iron amount analysis and flow cytometry analysis. Besides, Fe3O4@F127@FA nanoclusters showed good compatibility in the tested concentration range and good sensitivity in T2-weighted MRI. The magnetic nanoclusters combined with drug delivery properties have greatly increased the significance in the diagnosis and therapy of diseases, which are suitable for systematical administration of hydrophobic drugs and simultaneously MRI diagnosis.

An ultra-sensitive T2-weighted MR imaging contrast agent was prepared based on Fe3O4 nanoparticles and Gd3+ ions (Fe3O4@Gd). Amino modified Fe3O4 nanoparticles were conjugated to diethylenetriamine pentaacetic acid, and finally coordinated with Gd3+ ions. The nanoparticles had a uniform morphology with a size of 100 nm and a Gd/Fe mass ratio of 1/110. The r2 (transverse relaxivity) of the Fe3O4 nanoparticles increased from 131.89 mM−1 s−1 to 202.06 mM−1 s−1 after coordination with Gd3+ ions. MR measurements showed that the aqueous dispersion of Fe3O4@Gd nanoparticles had an obvious concentration-dependent negative contrast enhancement. Hepatoma cells were selected to test the cytotoxicity and MR imaging effect. The application of Fe3O4@Gd nanoparticles as contrast agents was also exploited in vivo for T2-weighted MR imaging of rat livers. All the results showed the effectiveness of the nanoparticles in MR diagnosis.

BackgroundElderly patients with cancer face the challenge of systemic inflammation, which can lead to a poor prognosis. Existing inflammatory indices cannot fully reflect the immune-inflammatory status of patients. This study aimed to develop a new scoring system to predict the survival of elderly patients with cancer using inflammatory indices, namely, the systemic inflammation prognostic score (SIPS).Materials and MethodsThis prospective multicenter study included a total of 1,767 patients with cancer, with a mean age of 70.97 ± 5.49 years, of whom 1,170 (66.2%) were men. We performed the least absolute shrinkage and selection operator (LASSO) regression to screen inflammatory indicators to include in constructing SIPS. Prognostic analysis of SIPS was performed using univariate and multivariate survival analyzes. The prognostic value of SIPS and its components were compared using the prognostic receiver operating characteristic curve and concordance index. The population was divided into the training cohort and the validation cohort in a 7:3 ratio and a SIPS prognostic analysis was performed.ResultsThe LASSO regression selected C-reactive protein (CRP) (≤ 9.81, “0”; > 9.81, “1”), geriatric nutritional risk index (GNRI) (≤ 93.85, “1”; 93.85, “0”), advanced lung cancer inflammation index (ALI) (≤ 23.49, “1”; > 23.49, “0”), and lymphocyte to C-reactive protein ratio (LCR) (≤ 2523.81, “1”; > 2523.81, “0”) to develop SIPS. Patients were divided into the three groups based on the total SIPS: low-risk (0), moderate-risk (1–2), and high-risk (3–4). On the multivariate survival analysis, patients in the moderate-risk [P < 0.001, hazard ratio (HR) = 1.79, 95% CI: 1.47–2.17] and high-risk groups (P < 0.001, HR = 2.40, 95% CI: 1.98–2.92) showed a worse prognosis than those in the low-risk group. The total cohort, training cohort, and validation cohort all showed that SIPS had better survival prediction than CRP, GNRI, ALI, and LCR. The HRs were 2.81 times higher in patients in the high-risk group with malnutrition than in patients in the low-risk group without malnutrition.ConclusionSIPS was an independent prognostic indicator in elderly patients with cancer. Malnutrition in the high-risk group increased the mortality risk.

The present study developed an ultra-fast liquid chromatography coupled with triple quadrupole-linear ion trap composite mass spectrometry(UHPLC-QTRAP-MS) to simultaneously determine the content of potential active components in Scutellariae Barbatae Herba and also to provide a reference approach for screening out the differential quality control components among different batches of Scutellariae Barbatae Herba. Chromatographic separations were conducted on a Thermo Acclaim~(TM) RSLC 120 C_(18) column(3.0 mm×100 mm, 2.2 μm) in a gradient program. The mobile phase consisted of 0.1% aqueous formic acid and acetonitrile, and the column temperature was maintained at 40 ℃. The flow rate was 0.4 mL·min~(-1) and the injection volume was 2 μL. The targeted compounds were monitored in the multiple reaction monitoring(MRM) mode. The acquired data were processed by hierarchical cluster analysis(HCA) and partial least square discriminant analysis(PLS-DA). Sixteen compounds all showed good linear relationship within the corresponding linear ranges and the R~2 values were all higher than 0.993 2. The RSDs of precision, repeatability, and stability were less than or equal to 3.7%. Mean recovery rates were in the range of 95.67% and 104.8% with RSDs≤3.2%. According to HCA and PLS-DA, all samples were clustered into four categories. Scutellarin, acteoside, scutellarein, and scutebarbatine X(VIPgt;1) were considered as differential chemical markers in the four categories. In conclusion, the developed method can be used for the simulta-neous determination of the multiple components and quality control of Scutellariae Barbatae Herba.

BackgroundNon-small cell lung cancer (NSCLC) is among the most prevalent malignancies worldwide. Previous studies have shown that the status of inflammation, nutrition and immune are closely related to overall survival (OS) of patients with NSCLC, but little is known about their interactive and combined roles. Hence, we chose glucose to lymphocyte ratio (GLR) and modified Glasgow Prognosis Score (mGPS) as prognostic factors and assessed the prognostic values of them for patients with NSCLC.MethodsBaseline clinicopathologic and laboratory characteristics of 862 patients with NSCLC were obtained from a multicenter prospective cohort. The Cox proportional hazard regression models were used to determine prognostic values of the clinical factors. A nomogram was also constructed integrating the clinical factors with clinical significance or independent prognostic values. Concordance index (C-index) was utilized to evaluate the prediction accuracy of the TNM stage and the nomogram.ResultsMultivariate analyses demonstrated that GLR [Hazard ratio (HR) = 1.029, 95% confidence interval (CI) = 1.004–1.056, P = 0.023] and mGPS (score of 1: HR = 1.404, 95% CI = 1.143–1.726, P = 0.001; score of 2: HR = 1.515, 95% CI = 1.159–1.980, P = 0.002) were independent prognostic factors for patients with NSCLC. The C-indexes of the TNM stage and the nomogram were 0.642 (95% CI = 0.620–0.663) and 0.694 (95% CI = 0.671–0.717), respectively.ConclusionGLR and mGPS were independent prognostic factors for patients with NSCLC. Moreover, our constructed nomogram might be superior in predicting prognosis of patients with NSCLC compared with the TNM stage.

ObjectiveSystemic inflammation and malnutrition are correlated with cancer sarcopenia and have deleterious effects on oncological outcomes. However, the combined effect of inflammation and malnutrition in patients with cancer sarcopenia remains unclear.MethodsWe prospectively collected information on 1,204 patients diagnosed with cancer sarcopenia. the mean (SD) age was 64.5 (11.4%) years, and 705 (58.60%) of the patients were male. The patients were categorized into the high advanced lung cancer inflammation index (ALI) group (≥18.39) and the low ALI group (ResultsThe C-index, DCA, and prognostic area under the curve of ALI in patients with cancer sarcopenia were higher or better than those of neutrophil-lymphocyte ratio (NLR), prognostic nutritional index (PNI), systemic immune-inflammation index (SII), and platelet-lymphocyte ratio (PLR). The prognosis for patients in the low ALI group was worse than that of patients in the high ALI group [HR (95%CI) = 1.584 (1.280–1.959), P < 0.001]. When the ALI was divided into quartiles, we observed that decreased ALI scores strongly correlated with decreased overall survival (OS). Patients with both a low ALI and severe malnutrition (vs. patients with high ALI and well-nourished) had a 2.262-fold death risk (P < 0.001). Subgroup analysis showed a significant interactive association between the ALI and death risk in terms of TNM stage (P for interaction = 0.030).ConclusionsThe inflammation indicator of the ALI was better than those of the NLR, PNI, SII, and PLR in patients with cancer sarcopenia. Inflammation combined with severe malnutrition has a nearly 3-fold death risk in patients with cancer sarcopenia, suggesting that reducing systemic inflammation, strengthening nutritional intervention, and improving skeletal muscle mass are necessary.

Background Systemic inflammatory responses caused by tumor cells play an important role in the occurrence and development of tumors. Most of these responses are accompanied by a decrease in muscle mass. The aim of this study was to identify biomarkers that most accurately predict prognoses in patients with non-metastatic cancer and to evaluate their clinical significance when combined with muscle markers. Methods This study retrospectively evaluated 2,797 cancer patients diagnosed with cancer at TNM stages I, II, and III. Lymphocyte-C-reactive protein ratio (LCR) in conjunction with calf circumference (CC) were used (or chosed) after evaluating the predictive value of 13 inflammatory marker combinations and five anthropometric indicators for patient outcomes using the C-index. The Kaplan-Meier method and Cox’s proportional hazards regression modeling were used to analyze the individual and combined effects of these two potential biomarkers on overall survival. Results This study enrolled 1,604 men (57.3%) and 1,193 women (42.7%) with a mean age of 58.75 years. Among the 13 inflammatory nutritional indicators, the LCR was the most accurate predictor of prognoses in patients with non-metastatic cancer. The optimal threshold for the LCR was 2,500. After multifactorial adjustment, we found that low LCR had an adverse effect on overall survival (hazard ratio [HR]: 2.50; 95% confidence interval [CI]: 2.17, 2.88; P

Long non-coding RNA play an importantr role in the differentiation of chondrocytes. This study aims to explore the role of long non-coding RNA in the transcriptional regulation of Notch4. In previous studies, it has been found that Notch signal can be used as the downstream of TGF-β signal to affect the proliferation and differentiation of deer antler chondrocytes, but the specific mechanism remains unclear. Here we found that lncRNA27785.1 was involved in the regulation of TGF-β/ Smad3 signal and Notch4 gene. The overexpression lncRNA27785.1 can negatively regulate the expression of Notch4 to inhibit cell proliferation and differentiation, while interference with lncRNA27785.1 can promote the expression of Notch4 gene to promote the proliferation and differentiation of chondrocytes. Subsequently, through luciferase experiment and CHIP experiment, we found that lncRNA27785.1 is regulated by Smad3 transcription, and Smad3 inhibited the expression of lncRNA27785.1. In addition, activated TGF-β signaling can reduce the inhibitory effect of lncRNA27785.1 on Notch4 signaling. In summary, we found that lncRNA27785.1 and TGF-β/Smad3 play an important role in Notch4 signaling. Our findings provided evidence to explain how TGF-β signaling regulate the Notch signaling pathway to influence chondrocyte proliferation and differentiation by a specific lncRNA27785.1.

A new furanone analog, (E)-2-(8,9-dihydroxy-6,8-dimethyldec-4-en-2-yl)-met-hylfuran-3(2H)-one (1), together with six known compounds, including two diterpenoids (2 and 3), one butyrolactone (4) and three isocoumarins (5–7), were isolated from a deep-sea fungus, Purpureocillium sp. SCSIO 06693. Among them, compound 1 existed as two tautomeric forms (1a and 1b) differing in configuration of the furan ring. The chemical structures were elucidated by the basis of spectroscopic evidences, including HRESIMS, NMR and optical rotation. Isolated compounds were evaluated for their cytotoxic, antiviral, antibacterial, antioxidant, acetyl cholinesterase (AChE) and pancreatic lipase (PL) enzyme inhibitory activities. Biological evaluation results revealed that compound 4 showed modest antioxidant activity against DPPH with IC50 value of 72.03 μM. In addition, compounds 1–4 exhibited PL enzyme inhibitory activities.

The body's immune-nutrition status affects prognosis in patients with lung cancer. The Controlling Nutritional Status (CONUT) score is an immune-nutrition-related index associated with prognosis in other tumors. We aimed to assess the value of CONUT scores in predicting prognosis in patients with lung cancer.In this retrospective, multicenter study, 1339 patients with lung cancer were divided into low and high CONUT score groups. The relationship between CONUT scores and overall survival (OS) was assessed by survival curves and Cox proportional hazards regression modeling. A nomogram, including CONUT scores and other clinical variables, was established.There were 659 (49.2%; mean age, 59.91 years) low and 680 (50.8%; mean age, 62.23 years) high CONUT score patients. OS was significantly worse in patients with high than in those with low CONUT scores (P0.001), even after stratification by pathological types (non-small-cell lung cancer and small-cell lung cancer) and Tumor, Node, Metastasis (TNM) stages. A high CONUT score independently predicted risk in patients with lung cancer (adjusted hazard ratio, 1.48; 95% CI, 1.26-1.73; P0.001). The CONUT-based nomogram could predict prognosis well (C-index, 0.701), with better resolution and accuracy than TNM staging for predicting OS at 1, 2, and 3 years (area under the receiver operating characteristic curve, 0.735 vs 0.678, 0.742 vs 0.696, and 0.768 vs 0.743, respectively).The CONUT score can predict prognosis in patients with lung cancer. A CONUT-based nomogram can improve the accuracy of survival prediction in such patients.

An efficient, mild, and green method was developed for the synthesis of indeno[1,2-b]quinoxaline derivatives via o-phenylenediamine (OPD) and 2-indanone derivatives utilizing β-cyclodextrin (β-CD) as the supramolecular catalyst. The reaction can be carried out in water and in a solid state at room temperature. β-CD can also catalyze the reaction of indan-1,2-dione with OPD with a high degree of efficiency. Compared to the reported methods, this procedure is milder, simpler, and less toxic, making it an eco-friendly alternative. In addition, the β-CD can be recovered and reused without the loss of activity.

Body water measured by bioelectrical impedance analysis (BIA) predicts the outcomes of many diseases. This study aimed to evaluate the relationship between body water and the prognosis of cancer patients with sarcopenia.This study employed 287 cancer patients with sarcopenia underwent BIA from a prospective multicenter study of patients with cancer in China from 2013 to 2020. The primary outcome of interest was all-cause mortality presented as the longest time to follow-up available. Eight indicators of body water [total body water, extracellular water, intracellular water, free fat mass, active cell mass, extracellular water/intracellular water, extracellular water/total body water (ECW/TBW), and intracellular water/total body water] were included in the research. Neutrophil-lymphocyte ratio (NLR) = neutrophil (× 10The median age was 65 years old, and 138 (48%) patients were men. During a mean follow-up of 46 months, 140 deaths were recorded, resulting in a rate of 204.6 events per 1000 patient-years. ECW/TBW showed the best predictive accuracy (C-index = 0.619) compared to the other indicators [p = 0.004, adjusted HR (95% CI) 1.70 (1.18,2.44)]. In the middle tertile (0.385-0.405), ECW/TBW had a strong independent negative association with patient survival [adjusted HR (95% CI) 2.88 (1.39-5.97), p = 0.004]. Patients who had a high ECW/TBW (ECW/TBW ≥ 0.395) combined with a high NLR had 3.84-fold risk of mortality (p 0.001, 95% CI 1.99,7.38).ECW/TBW was better than other indicators in predicting survival of cancer patients with sarcopenia. High ECW/TBW combined with high NLR would further increase the risk of mortality.The Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) (Chinese Clinical Trial Registry: ChiCTR1800020329, URL of registration: http://www.chictr.org.cn/showprojen.aspx?proj=31813 ).

Objective: The levels of platelet-related inflammation indicators and sarcopenia have been reported to affect the survival of patients with cancer. To evaluate the prognostic influence of platelet count (PLT), platelet–lymphocyte ratio (PLR), and systemic immune inflammation index (SII), and SII combined with sarcopenia on the survival of patients with gastric cancer (GC).Methods: A total of 1131 patients with GC (811 men and 320 women, average age: 59.45 years) were evaluated. Receiver operating characteristic curves were used to determine the best cut-off values of PLT, PLR, and SII, and univariate and multivariate Cox risk regression models were used to evaluate whether SII is an independent predictor of overall survival (OS). The prognostic SS (SII-sarcopenia) was established based on SII and sarcopenia. Finally, a comprehensive analysis of the prognostic SS was performed. Results: SII had the strongest prognostic effect. The SII and OS of patients with GC were in an inverted U-shape (adjusted HR = 1.06; 95% CI: 0.95-1.18; adjusted P = 0.271). In patients with SII >1800, SII was negatively correlated with OS (adjusted HR = 0.57; 95% CI: 0.29-1.12; adjusted P = 0.102), however, there is no statistical difference. Interestingly, a high SS was associated with a poorer prognosis. The higher the SS score, the worse the OS (PConclusion: SII is an independent prognostic indicator of GC, and high SII is related to poor prognosis. A Higher SS score had worse survival. Thus, the prognostic SS is a reliable predictor of OS in patients with GC.

One new citrinin monomer derivative (