A novel inflammation-nutrition biomarker score for predicting prognosis of patients with cancer: results from a multicenter study.

BACKGROUND: This study aimed to develop an innovative inflammation-nutrition biomarker score (INS) system to stratify the prognoses of patients with cancer. METHODS: A total of 5,221 patients with cancer from multiple centers in China between June 2010 and December 2017 were enrolled in this prospective cohort study. We compared the commonly used inflammation and nutrition biomarkers and selected the most valuable to develop the novel INS system. Survival curves were assessed using the Kaplan-Meier method and the log-rank test to evaluate the difference in survival rates between groups. The Cox proportional hazards model was used to investigate the association between biomarkers and all-cause mortality. RESULTS: As the risk stratification of INS increased (1 to 5), the rate of death for cancer patients gradually increased (25.43% vs. 37.09% vs. 44.59% vs. 56.21% vs. 61.65%, p < 0.001). The INS system was associated with all-cause mortality in patients with cancer. Patients with both high inflammation and nutrition risk (INS = 5) were estimated to have much worse prognosis than those with neither (HR, 2.606; 95%CI, 2.261-3.003, p < 0.001). Subsequently, the results of randomized internal validation also confirmed that INS system had an ideal effect in identifying adverse outcomes. In addition, the INS system could be used as a supplement to pathological stages in prognosis assessment, and had a higher predictive value in comparison with the constitute biomarkers. Patients with a high INS had less functional ability, reduced quality of life, and were at high risk of malnutrition, cachexia, and poor short-term outcomes. CONCLUSION: The INS system based on inflammation and nutrition biomarkers is a simple and effective prognostic stratification tool for patients with cancer, which can provide a valuable reference for clinical prognosis assessment and treatment strategy formulation.

Which anthropometric measurement is better for predicting survival of patients with cancer cachexia?

No relevant studies have yet been conducted to explore which measurement can best predict the survival time of patients with cancer cachexia. This study aimed to identify an anthropometric measurement that could predict the 1-year survival of patients with cancer cachexia. We conducted a nested case-control study using data from a multicentre clinical investigation of cancer from 2013 to 2020. Cachexia was defined using the Fearon criteria. A total of 262 patients who survived less than 1 year and 262 patients who survived more than 1 year were included in this study. Six candidate variables were selected based on clinical experience and previous studies. Five variables, BMI, mid-arm circumference, mid-arm muscle circumference, calf circumference and triceps skin fold (TSF), were selected for inclusion in the multivariable model. In the conditional logistic regression analysis, TSF (P = 0·014) was identified as a significant independent protective factor. A similar result was observed in all patients with cancer cachexia (n 3084). In addition, a significantly stronger positive association between TSF and the 1-year survival of patients with cancer cachexia was observed in participants aged > 65 years (OR: 0·94; 95 % CI 0·89, 0·99) than in those aged ≤ 65 years (OR: 0·96; 95 % CI 0·93, 0·99; Pinteraction = 0·013) and in participants with no chronic disease (OR: 0·92; 95 % CI 0·87, 0·97) than in those with chronic disease (OR: 0·97; 95 % CI 0·94, 1·00; Pinteraction = 0·049). According to this study, TSF might be a good anthropometric measurement for predicting 1-year survival in patients with cancer cachexia.

The prognostic effect of hemoglobin on patients with cancer cachexia: a multicenter retrospective cohort study.

OBJECTIVES: To clarify the influence of hemoglobin on cancer cachexia and to determine whether hemoglobin affects the prognosis or quality of life of patients with cancer cachexia and whether these effects are caused by an interaction between hemoglobin and other factors. MATERIAL AND METHODS: This study was a multicenter cohort of 2715 patients with cancer cachexia diagnosed from June 2012 to December 2019. The primary outcomes and measures were overall survival (OS) time and all-cause mortality. The association between hemoglobin 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 determine the threshold value. We also evaluated the cross-classification of hemoglobin and each variable with survival. RESULTS: Among the 2715 participants diagnosed with cancer cachexia, 1592 (58.6%) were male, and the mean (SD) age was 58.8 (11.7) years. The optimal cutoff point for hemoglobin as a predictor of cancer cachexia mortality was 140 g/L for males and 101 g/L for females in our research. The decrease in hemoglobin was positively correlated with all-cause mortality. These associations were consistent across cancer subtypes. In the multivariable analysis, after adjusting for sex, age, TNM stage, tumor type, radiotherapy, chemotherapy, Karnofsky performance status score, and other factors, patients diagnosed with cancer cachexia who had low hemoglobin levels were more likely to have a worse prognosis (HR 2.40; 95% CI, 1.12-1.51). CONCLUSION: Our results suggested that the proposed hemoglobin cutoff point would be valuable for prognostic prediction in patients with cancer cachexia, especially for long-term prognosis.

Efficacy of Global Leadership Initiative on Malnutrition as potential cachexia screening tool for patients with solid cancer.

PURPOSE: Cachexia has a very high prevalence in patients with cancer, and lacks effective screening tools yet. Global Leadership Initiative on Malnutrition (GLIM) is a novel malnutrition assessment tool, with increased important roles in malnutrition diagnosis for patients with cancer. However, whether GLIM can be used as an effective screening tool remains unknown. METHODS: We performed a multicenter cohort study including 8,478 solid tumor patients from 40 clinical centers throughout China. Cachexia was diagnosed based on the 2011 international cancer cachexia consensus. The receiver operating characteristic curves (ROC) and decision curve analysis (DCA) were developed to determine the efficacy and clinical net benefit of GLIM and Patient-Generated Subjective Global Assessment (PG-SGA) in the detection of cancer cachexia, respectively. RESULTS: According to the consensus guidelines, 1,441 (17.0%) cancer patients were diagnosed with cachexia among 8,478 patients in the present study. The sensitivity of one-step GLIM and two-step GLIM for detecting cachexia were 100 and 88.8%, respectively, while that of PG-SGA was 86.2%. The accuracies of one-step GLIM and two-step GLIM reached 67.4 and 91.3%, which were higher than that of PG-SGA (63.1%). The area under the curves (AUCs) of one-step GLIM (0.835) and two-step GLIM (0.910) were higher than PG-SGA (0.778) in patients with cancer. The DCA also revealed that two-step GLIM had better clinical effect than PG-SGA between 20-50% threshold probabilities. CONCLUSION: GLIM could be used as an effective tool in screening cancer cachexia, two-step GLIM criteria show more accurate while one-step GLIM criteria is more sensitive. TRIAL REGISTRATION: ChiCTR1800020329.

Role of exogenous-applied salicylic acid, zinc and glycine betaine to improve drought-tolerance in wheat during reproductive growth stages.

BACKGROUND: Drought has become a dangerous threat to reduce crop productivity throughout the world. Exogenous applications of regulators, micronutrients, and/or osmoprotectants for inducing drought-tolerance in field crops have been effectively adopted. A controlled pot study was performed to investigate the relative efficacy of salicylic acid (SA), zinc (Zn), and glycine betaine (GB) as foliar applications on the growth, tissues pigments content, relative water content (RWC), leaf gas-exchange, antioxidant enzymes activity, reactive oxygen species (ROS) accumulation, osmolytes contents, and the yield parameters of wheat plants subjected to two soil water conditions (85% field capacity: well-watered, 50% field capacity: water-deficient) during reproductive growth stages. RESULTS: Water deficient conditions significantly decreased the growth, yield parameters, RWC, photosynthesis pigment, and gas-exchange attributes except for intercellular CO2 concentration. However, foliar applications remarkably improved the growth and yield parameters under water deficit conditions. Under drought condition, exogenous applications of SA, Zn, and GB increased the grain yield pot- 1 by 27.99, 15.23 and 37.36%, respectively, as compared to the control treatment. Drought stress statistically increased the contents of hydrogen peroxide (H2O2), superoxide anion radical (O2 •-), and malonaldehyde (MDA), and elevated the harmful oxidation to cell lipids in plants, however, they were considerably reduced by foliar applications. Foliar applications of SA, Zn, and GB decreased MDA content by 29.09, 16.64 and 26.51% under drought stress, respectively, as compared to the control treatment. Activities of all antioxidant enzymes, proline content, and soluble sugar were increased in response to foliar applications under water deficit conditions. CONCLUSIONS: Overall, foliar application of GB, SA, and Zn compounds improved the drought-tolerance in wheat by decreasing the ROS accumulation, promoting enzymatic antioxidants, and increasing osmolytes accumulation. Finally, GB treatment was most effective in thoroughly assessed parameters of wheat followed by SA and Zn applications to alleviate the adverse effects of drought stress.

Associations between hepatitis B virus infection and risk of colorectal Cancer: a population-based prospective study.

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.

A novel model with nutrition-related parameters for predicting overall survival of cancer patients.

BACKGROUND: Increasing evidence indicates that nutritional status could influence the survival of cancer patients. This study aims to develop and validate a nomogram with nutrition-related parameters for predicting the overall survival of cancer patients. PATIENTS AND METHODS: A total of 8749 patients from the multicentre cohort study in China were included as the primary cohort to develop the nomogram, and 696 of these patients were recruited as a validation cohort. Patients' nutritional status were assessed using the PG-SGA. LASSO regression models and Cox regression analysis were used for factor selection and nomogram development. The nomogram was then evaluated for its effectiveness in discrimination, calibration, and clinical usefulness by the C-index, calibration curves, and decision curve analysis. Kaplan-Meier survival curves were used to compare the survival rate. RESULTS: Seven independent prognostic factors were identified and integrated into the nomogram. The C-index was 0.73 (95% CI, 0.72 to 0.74) and 0.77 (95% CI, 0.74 to 0.81) for the primary cohort and validation cohort, which were both higher than 0.59 (95% CI, 0.58 to 0.61) of the TNM staging system. DCA demonstrated that the nomogram was higher than the TNM staging system and the TNM staging system combined with PG-SGA. Significantly median overall survival differences were found by stratifying patients into different risk groups (score < 18.5 and ≥ 18.5) for each TNM category (all Ps < 0.001). CONCLUSION: Our study screened out seven independent prognostic factors and successfully generated an easy-to-use nomogram, and validated and shown a better predictive validity for the overall survival of cancer patients.

Synthesis, in vitro antimicrobial and cytotoxic activities of new carbazole derivatives of ursolic acid.

A series of new carbazole derivatives of ursolic acid were designed and synthesized in an attempt to develop potent antimicrobial or antitumor agents. Their structures were confirmed by using IR, HRMS and (1)H NMR analysis. All the synthesized compounds were evaluated for their antimicrobial activity against four bacterial and three fungal strains using serial dilution method. Compounds 3a, 3b, 4a, 4b and 5a-f exhibited significant antibacterial activity against at least one tested bacteria with MIC values of 3.9-15.6µg/ml. In addition, the in vitro cytotoxicity of these compounds were also assayed against two human tumor cell lines (SMMC-7721 and HepG2) using MTT colorimetric method. From the results, compounds 5a-e and 5h displayed pronounced cytotoxic activity with IC50 values below 10µM. Specially, compound 5e was found to be the most potent compound with IC50 values of 1.08±0.22 and 1.26±0.17µM against SMMC-7721 and HepG2 cells, respectively, comparable to those of doxorubicin. In addition, compound 5e showed reduced cytotoxicity against noncancerous LO2 cells with IC50 value of 5.75±0.48µM.

Establishment and validation of nomogram model for predicting major adverse cardiac events in patients with acute ST-segment elevation myocardial infarction based on glycosylated hemoglobin A1c to apolipoprotein A1 ratio: An observational study.

The objective of the current study is to assess the usefulness of HbA1cAp ratio in predicting in-hospital major adverse cardiac events (MACEs) among acute ST-segment elevation myocardial infarction (STEMI) patients that have undergone percutaneous coronary intervention (PCI). Further, the study aims to construct a ratio nomogram for prediction with this ratio. The training cohort comprised of 511 STEMI patients who underwent emergency PCI at the Huaibei Miners' General Hospital between January 2019 and May 2023. Simultaneously, 384 patients treated with the same strategy in First People's Hospital of Hefei formed the validation cohort during the study period. LASSO regression was used to screen predictors of nonzero coefficients, multivariate logistic regression was used to analyze the independent factors of in-hospital MACE in STEMI patients after PCI, and nomogram models and validation were established. The LASSO regression analysis demonstrated that systolic blood pressure, diastolic blood pressure, D-dimer, urea, and glycosylated hemoglobin A1c (HbA1c)/apolipoprotein A1 (ApoA1) were significant predictors with nonzero coefficients. Multivariate logistic regression analysis was further conducted to identify systolic blood pressure, D-dimer, urea, and HbA1c/ApoA1 as independent factors associated with in-hospital MACE after PCI in STEMI patients. Based on these findings, a nomogram model was developed and validated, with the C-index in the training set at 0.77 (95% CI: 0.723-0.817), and the C-index in the validation set at 0.788 (95% CI: 0.734-0.841), indicating excellent discrimination accuracy. The calibration curves and clinical decision curves also demonstrated the good performance of the nomogram models. In patients with STEMI who underwent PCI, it was noted that a higher HbA1c of the ApoA1 ratio is significantly associated with in-hospital MACE. In addition, a nomogram is constructed having considered the above-mentioned risk factors to provide predictive information on in-hospital MACE occurrence in these patients. In particular, this tool is of great value to the clinical practitioners in determination of patients with a high risk.

Effect of γ-PGA and γ-PGA SAP on soil microenvironment and the yield of winter wheat.

Agricultural poly-γ-glutamic acid (γ-PGA) and γ-PGA super absorbent polymer (SAP) are two forms of γ-PGA applied in agriculture. Different quantities of γ-PGA and γ-PGA SAP (40 kg/hm2, 80 kg/hm2, 120 kg/hm2 and 160 kg/hm2) were applied to the soil in order to investigate their effects on the microenvironment of soil root zone and the yield of winter wheat. The soil water content increased with increasing amounts of γ-PGA SAP. The content of nitrate nitrogen and ammonium nitrogen increased with the increasing amounts of γ-PGA, while γ-PGA SAP significantly increased the content of ammonium nitrogen. The number of soil microorganisms and soil enzyme activities in the root zone increased with the addition of γ-PGA and γ-PGA SAP. The yield of winter wheat increased with the addition of γ-PGA or γ-PGA SAP, but the increasing rate decreased when the amount of γ-PGA and γ-PGA SAP exceeded 80 kg/hm2, with increases of 5.95% and 6.77% compared to the control group, respectively. The addition of γ-PGA significantly increased the protein content of wheat grains, and the WUE increased with increasing amounts of γ-PGA and γ-PGA SAP.

Glucose to lymphocyte ratio predicts prognoses in patients with colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) is characterized by high morbidity and mortality. Inflammatory, metabolic, and immune factors are closely related to survival of patients with CRC, but their combined impact is unknown. Hence, we chose and evaluated the prognostic value of glucose to lymphocyte ratio (GLR) and a nomogram that include GLR for patients with CRC. METHODS: A total of 1448 patients with CRC were included in our study, and their baseline clinicopathological characteristics and laboratory investigations were collected for analysis. We used Cox proportional hazard regression analyses (both univariate and multivariate) to determine prognostic values of clinical indicators. A nomogram was constructed, and concordance index (C-index) was used to assess the predictive power. RESULTS: Multivariate analyses demonstrated GLR as an independent prognostic factor (hazard ratios 1.060; 95% confidence interval 1.030-1.091; p < .001). A nomogram was constructed integrating factors with clinical significance (sex) and those with independent prognostic value (age, body mass index, tumor stage, and GLR), and the model showed a C-index of .778 (.757-.799), which was higher than that of .738 (.717-.759) for tumor stage. CONCLUSION: GLR can independently predict the prognoses of patients with CRC, and our nomogram provides more accurate prediction than TNM staging.

The association of serum betaine concentrations with the risk of new-onset cancers: results from two independent nested case-control studies.

Evidence from epidemiologic studies on the association of circulating betaine levels with the incident risk of cancer has been inconsistent. We aimed to investigate the prospective association of serum betaine concentrations with the risk of cancer. We performed two, nested, case-control studies utilizing data from the "H-type Hypertension Prevention and Control Public Service Project" (HHPCP) and the China Stroke Primary Prevention Trial (CSPPT), with 2782 participants (1391 cancer cases and 1391 matched controls) in the discovery cohort, and 228 participants (114 cancer cases and 114 matched controls) in the validation cohort. Odds ratios (OR) of the association between betaine and cancer were calculated using conditional logistic regression models. There was an association between serum betaine as a continuous variable and total cancer (OR = 1.03, 95%CI = 0.99-1.07, p = 0.097). Among cancer subtypes, a positive association was found between serum betaine and the risk of lung cancer, and an inverse association was found with other cancers. Interestingly, a U-shaped association was observed between serum betaine and digestive cancers, with a turning point of 5.01 mmol/L for betaine (betaine < 5.01 mmol/L, OR = 0.82, 95%CI = 0.59-1.14, p = 0.228; betaine ≥ 5.01 mmol/L, OR = 1.08, 95%CI = 1.01-1.17, p = 0.036). In the validation cohort, a significant association between serum betaine as a continuous variable and total cancer (OR = 1.48, 95%CI = 1.06-2.05, P = 0.020) was also found. High serum betaine was associated with increased risk of total cancer and lung cancer, and a U-shaped association was found with the risk of digestive cancers, with a turning point at about 5.01 mmol/L.

Straw mulch improves soil carbon and nitrogen cycle by mediating microbial community structure and function in the maize field.

This study was conducted to investigate the capability of the microbial community characteristics and soil variables to promote carbon and nitrogen cycles in maize fields under straw mulch. We covered the surface soil of the maize field with different amounts of wheat straw (0 kg/ha, 2,250 kg/ha, and 4,500 kg/ha) and used 16S rRNA and ITS sequencing, Biology ECO-plate, traditional enzymology, TOC analyzer, and HPLC to measure bacterial and fungal community composition and functions, characteristics of microbial carbon source metabolism, carbon and nitrogen fraction, enzyme activity, and organic acid content in the maize rhizosphere and non-rhizosphere. The results indicated that short-term straw mulch insignificantly affected the alpha diversity of bacterial and fungal communities whereas significantly influenced their beta diversity. The results of functional prediction revealed that straw mulch considerably boosted the relative abundances of bacteria belonging to chemoheterotrophy, aerobic chemoheterotrophy, ureolysis, and nitrogen fixation and inhibited fermentation and nitrate reduction in maize rhizosphere soil. These processes primarily drove the C and N cycles in soil. Straw mulch also improved fungal saprotrophs by raising the proportion of Chaetomiaceae and Chaetosphaeriaceae. The Biology ECO-plate results illustrated that straw mulch weakened the metabolism capacity of microbial labile carbon resources. As a result, the labile C and N fractions were raised under straw mulch. Our results also showed that straw mulch primarily regulated the microbial community structure in rhizosphere soil by significantly decreasing Firmicutes and Ascomycota relative abundance while increasing Basidiomycota. The fungal community structure is more than bacterial for affecting soil microbial biomass carbon, readily oxidizable organic carbon, dissolved organic carbon, available nitrogen, ammonium, and nitrate directly and indirectly through malic acid content and cellulase, protease, and amylase activity. Overall, our findings imply that straw mulch might influence the bacterial and fungal community structures, thereby boosting the production of labile C and N components and accelerating the C and N cycle in maize fields.

Association between insulin resistance related indicators with the prognosis of patients with colorectal cancer.

BACKGROUND: The progression of colorectal cancer (CRC) has been linked to metabolism alteration. Because insulin resistance (IR) is the basic mechanism of metabolism alteration, IR related indicators are considered to be associated with prognostic of CRC. In this study, we compared the prognostic values of common IR related indicators for CRC and selected the best one. Moreover, we explored the association between that indicator and CRC prognosis and possible interactive covariates. METHODS: Medical records of patients with CRC (n = 1765) were retrieved from the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) study. We compared the prognostic values of IR related indicators and select the best one using concordance index (C-index) and area under curve (AUC). Using Cox proportional hazard regression models, we evaluated the association between that indicator and CRC prognosis. Interaction tests were performed to evaluate possible interactions among covariates and the IR related indicator. RESULTS: Results of C-index and AUC indicated that the ratio of low-density lipoprotein-to-high-density lipoprotein (LHR) showed the highest ability to predict the prognosis of patients with CRC. LHR independently predicted CRC prognosis [hazard ratio (HR) = 1.14; 95 % confidence interval (CI) = 1.05-1.22; P = 0.001]. The interactions between LHR, and age (<65 vs. ≥65; P for interaction = 0.001) or neutrocyte-to-lymphocyte ratio (NLR) (<3 vs. ≥3; P for interaction = 0.055) were also observed. CONCLUSION: LHR was found to be the best IR related indicators to predict prognosis of CRC, and it was negatively correlated with the prognosis of patients with CRC. NLR and aging might interact with LHR.

A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter study.

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.

Hand grip strength-based cachexia index as a predictor of cancer cachexia and prognosis in patients with cancer.

BACKGROUND: The cachexia index is a useful predictor for cancer cachexia and prognostic assessment. However, its use is limited because of high testing costs and complicated testing procedures. Thus, in this study, we aimed to develop a hand grip strength (HGS)-based cancer cachexia index (H-CXI) as a potential predictor of cancer cachexia and prognosis in patients with cancer. METHODS: Here, 14 682 patients with cancer were studied, including the discovery (6592), internal validation (2820) and external validation (5270) cohorts. The H-CXI was calculated as [HGS (kg)/height (m)2  × serum albumin (g/L)]/neutrophil-to-lymphocyte ratio. 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). Logistic regression analysis was used to assess the association of the H-CXI with short-term outcomes and cancer cachexia. RESULTS: There was a significant non-linear relationship between the H-CXI and OS in all cohorts. Patients with a low H-CXI had significantly lower OS than those with a high H-CXI in the discovery cohort (6-year survival percentage: 55.72% vs. 76.70%, log-rank P < 0.001), internal validation cohort (6-year survival percentage: 55.81% vs. 76.70%, log-rank P < 0.001), external validation cohort (6-year survival percentage: 56.05% vs. 75.48%, log-rank P < 0.001) and total cohort (6-year survival percentage: 55.86% vs. 76.27%, log-rank P < 0.001). Notably, the prognostic stratification effect of the H-CXI in patients with advanced-stage disease was more significant than that in patients with early-stage disease. The multivariate Cox proportional risk regression model confirmed that a low H-CXI negatively affected the prognosis of patients with cancer in the discovery cohort [hazard ratio (HR) 0.75, 95% confidence interval (CI) 0.71-0.80, P < 0.001], internal validation cohort (HR 0.79, 95 %CI 0.72-0.86, P < 0.001), external validation cohort (HR 0.84, 95% CI 0.79-0.89, P < 0.001) and total cohort (HR 0.80, 95% CI 0.77-0.83, P < 0.001). Multivariate logistic regression models showed that a low H-CXI was an independent risk factor predicting adverse short-term outcomes and cancer cachexia in patients with cancer. CONCLUSIONS: The simple and practical H-CXI is a promising predictor for cancer cachexia and prognosis in patients with cancer.

Prognostic value of the modified advanced lung cancer inflammation index in overweight or obese patients with lung cancer: Results from a multicenter study.

BACKGROUND: This study aimed to explore the relationship between the modified advanced lung cancer inflammation index (mALI) and the survival of overweight or obese patients with lung cancer (LC). METHODS: The mALI was defined as the appendix skeletal muscle index multiplied by the serum albumin level/neutrophil-to-lymphocyte ratio. The cutoff values for males and females were assessed separately. Survival curves were estimated using the Kaplan-Meier method, and statistical differences were determined using the log-rank test. Univariate and multivariate Cox proportional hazards models were used for the survival analysis. The area under the receiver operating characteristic curve was used to compare the prognostic value of mALI with other nutrition assessment indicators. RESULTS: The mALI cut-offs for males and females were 8.59 and 8.26, respectively. Malnutrition, high systemic inflammation, and advanced stage for overweight or obese LC patients were found to be correlated with a low mALI. The median survival of patients with a low mALI was significantly lower than patients with a high mALI by approximately 25 months. In addition, the mALI can be used as an effective supplement to the traditional pathological stage. Multivariable analysis found that mALI was an independent prognostic factor of overall survival (hazard ratio = 0.531; 95% CI, 0.402-0.700; P < 0.001). The prognostic predictive performance of mALI was superior to that of other nutrition assessment indicators. CONCLUSIONS: The mALI was an independent risk factor for the prognosis of overweight or obese LC patients, and a useful supplement to the pathological stage.

Nutrition-inflammation marker enhances prognostic value to ECOG performance status in overweight or obese patients with cancer.

BACKGROUND: 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. METHODS: 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. RESULTS: 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 score >1) showed the worst prognosis. CONCLUSION: 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.

Handgrip weakness, systemic inflammation indicators, and overall survival in lung cancer patients with well performance status: A large multicenter observational study.

BACKGROUND: Systemic inflammation and handgrip weakness have been used to predict mortality in many cancers. The purpose of current study was to evaluate the association of co-occurrence of inflammation indicators and handgrip weakness with overall survival (OS) of lung cancer (LC) patients with good performance status. METHODS: The cutoff points for handgrip strength (HGS) and the four inflammation indicators were calculated using Maxstat. The time-dependent receiver operating characteristic curve and C-index were used to select optimal inflammation indicator for predicting OS of LC patients. The Cox proportional hazard regression model was used to calculate the hazard ratio (HR) of mortality. Kaplan-Meier curves were constructed to evaluate the association of indicators and the OS of LC patients. RESULTS: Among the 1951 patients, the mean ± standard deviation (SD) age was 60.6 ± 9.9 years, and 1300 (66.6%) patients were male. In patients with good performance status (PS), handgrip weakness (HR, 1.49; 95% confidence interval [95% CI], 1.30-1.70, p < 0.001) and low advanced lung cancer inflammation index (ALI) (HR, 2.05; 95%CI, 1.79-2.34, p < 0.001), high systemic immune-inflammation index (SII) (HR, 1.91; 95%CI, 1.66-2.19, p < 0.001), high platelet: lymphocyte ratio (PLR) (HR, 1.60; 95%CI, 1.40-1.82, p < 0.001), or high neutrophil: lymphocyte ratio (NLR) (HR, 2.01; 95%CI, 1.76-2.30, p < 0.001) were associated with increased mortality risk of LC patients. ALI had better C-index (0.624) and time-AUC in the prediction of OS in LC patients with good PS than other three combinations. The co-occurrence of handgrip weakness and low ALI more than doubled the risk of death in LC with good PS (HR, 2.44; 95% CI, 2.06-2.89, p < 0.001). CONCLUSION: In LC patients who have good PS, patients with combined handgrip weakness and low ALI have the worst prognosis. THE TRIAL REGISTRATION NUMBER: ChiCTR1800020329.

Systemic inflammation with sarcopenia predicts survival in patients with gastric cancer.

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 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. RESULTS: 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). CONCLUSION: 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.