Comprehensive comparison of the prognostic value of systemic inflammation biomarkers for cancer cachexia: a multicenter prospective study

Performance of anthropometry-based and bio-electrical impedance-based muscle-mass indicators in the Global Leadership Initiative on Malnutrition criteria for predicting prognosis in patients with cancer

BACKGROUND

Reduced muscle mass is a criterion for diagnosing malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria; however, the choice of muscle-mass indicators within the GLIM criteria remains contentious. This study aimed to establish muscle-measurement-based GLIM criteria using data from bio-electrical impedance analysis (BIA) and anthropometric evaluations and evaluate their ability to predict overall survival (OS), short-term outcomes, and healthcare burden in patients with cancer.

METHODS

This was a multicenter, prospective study that commenced in 2013 and enrolled participants from various clinical centers across China. We constructed GLIM criteria based on various muscle measurements, including fat-free mass index (FFMI), skeletal muscle index (SMI), calf circumference (CC), midarm circumference (MAC), midarm muscle circumference (MAMC), and midarm muscle area (MAMA). Survival was estimated using the Kaplan-Meier method and survival curves were compared using the log-rank test. Cox proportional hazards regression was used to assess the independent association between the GLIM criteria and OS. The discriminatory performance of different muscle-measurement-based GLIM criteria for mortality was evaluated using Harrell's concordance index (C-index). Logistic regression was used to evaluate the association of the GLIM criteria with short-term outcomes and healthcare burden.

RESULTS

A total of 4769 patients were included in the analysis, of whom 1659 (34.8%) died during the study period. The Kaplan-Meier curves demonstrated that all muscle-measurement-based GLIM criteria significantly predicted survival in patients with cancer (all p < 0.001). The survival rate of malnourished patients was approximately 10% lower than that of non-malnourished patients. Cox proportional hazards regression showed that all the muscle-measurement-based GLIM could independently predict the OS of patients (all p < 0.001). The prognostic discrimination was as follows: MAMC (Chi-square: 79.61) > MAMA (Chi-square: 79.10) > MAC (Chi-square: 64.09) > FFMI (Chi-square: 62.33) > CC (Chi-square: 58.62) > ASMI (Chi-square: 57.29). In comparison to the FFMI-based GLIM criteria, the ASMI-based criteria (-0.002, 95% CI: -0.006 to 0.002, p = 0.334) and CC-based criteria (-0.003, 95% CI: -0.007 to 0.002, p = 0.227) did not exhibit a significant advantage. However, the MAC-based criteria (0.001, 95% CI: -0.003 to 0.004, p = 0.776), MAMA-based criteria (0.004, 95% CI: 0.000-0.007, p = 0.035), and MAMC-based criteria (0.005, 95% CI: 0.000-0.007, p = 0.030) outperformed the FFMI-based GLIM criteria. Logistic regression showed that muscle measurement-based GLIM criteria predicted short-term outcomes and length of hospital stay in patients with cancer.

CONCLUSION

All muscle measurement-based GLIM criteria can effectively predict OS, short-term outcomes, and healthcare burden in patients with cancer. Anthropometric measurement-based GLIM criteria have potential for clinical application as an alternative to BIA-based measurement.

Evaluation and validation of neutrophil to albumin ratio as a promising prognostic marker for all-cause mortality in patients with cancer: a multicenter cohort study

OBJECTIVES

The practicality and effectiveness of using the prognostic value of the neutrophil-to-albumin ratio (NAR) in evaluating patients with cancer remain unclear, and research is needed to fully understand its potential application in the cancer population.

METHODS

The Kaplan-Meier method was used for survival analysis, and the log-rank test was employed for comparison. Univariate and multivariate Cox proportional hazards models were used to determine the prognostic biomarkers, and Logistic regression analysis was conducted to investigate the relationship between NAR and 90-day outcomes and cachexia.

RESULTS

The study included 14 682 patients with cancer, divided into discovery (6592 patients), internal validation (2820 patients), and external validation groups (5270 patients). Patients with high NAR had higher all-cause mortality than those with low NAR in the discovery (50.15% versus 69.29%, P < 0.001), internal validation (54.18% versus 70.91%, P < 0.001), and external validation cohorts (40.60% versus 66.68%, P < 0.001). In the discovery cohort, high NAR was observed to be independently associated with all-cause mortality in patients (HR 1.16, 95% CI 1.12-1.19; P < 0.001). Moreover, we validated the promising prognostic value of NAR as a predictor of survival in patients with cancer through internal validation (HR 1.21, 95% CI 1.16-1.27, P < 0.001) and external validation cohorts (HR 1.27, 95% CI 1.21-1.34, P < 0.001). Additionally, in the subgroup analysis by tumor type, high NAR was identified as a risk factor for most cancers, except for breast cancer.

CONCLUSIONS

This study showed that NAR is a feasible and promising biomarker for predicting prognosis and cancer cachexia in cancer patients.

Phase angle: A robust predictor of malnutrition and poor prognosis in gastrointestinal cancer

OBJECTIVES

The aim of this study was to investigate the relationship among phase angle (PA), malnutrition, and prognosis in patients with gastrointestinal cancer.

METHODS

In total, 870 patients with gastrointestinal cancer were enrolled. Kaplan-Meier curves and Cox proportional hazards models were used to evaluate the association between PA and survival risk. Restricted cubic spline regression was used for flexibility analysis to explore sex-specific associations between PA and survival. Logistic regression was used to assess the relationships among PA, malnutrition, and cachexia.

RESULTS

Low PA was closely associated with poor physical conditions, diminished quality of life, and malnutrition. Patients with low PA had a significantly worse prognosis than those with high PA (60.6% versus 72.8%; log-rank P < 0.001). PA was suitable for the prognostic assessment of patients with advanced-stage tumors. Regardless of sex, patients with lower PA showed significantly poorer survival rates. Cox proportional hazards models identified PA as an independent predictor of prognosis in patients with gastrointestinal cancer (hazard ratio (HR)=0.534; 95% confidence interval (CI)=0.409-0.696, P < 0.001). Subgroup analysis indicated that a high PA was an independent risk factor affecting the prognoses of patients with esophageal, liver, and intrahepatic bile duct cancers. Interestingly, variations in PA had a more significant prognostic effect on survival in men than in women. The logistic regression model confirmed that PA is a valuable indicator for assessing malnutrition and cachexia in patients with gastrointestinal cancer. Among all body composition indicators, PA demonstrated the highest accuracy for prognostic prediction.

CONCLUSIONS

PA was identified as a robust predictor of malnutrition and poor prognosis in patients with gastrointestinal cancer.

Ursolic acid alleviates cancer cachexia by inhibiting STAT3 signaling pathways in C2C12 myotube and CT26 tumor-bearing mouse model

Cancer cachexia, a multi-organ disorder resulting from tumor and immune system interactions, prominently features muscle wasting and affects the survival of patients with cancer. Ursolic acid (UA) is known for its antioxidant, anti-inflammatory, and anticancer properties. However, its impact on cancer cachexia remains unexplored. This study aimed to assess the efficacy of UA in addressing muscle atrophy and organ dysfunction in cancer cachexia and reveal the mechanisms involved. UA dose-dependently ameliorated C2C12 myotube atrophy. Mechanistically, it inhibited the expression of muscle-specific RING finger containing protein 1 (MURF1) and the phosphorylation of signal transducer and activator of transcription 3 (STAT3), and upregulated the mRNA or protein levels of myogenic differentiation antigen and myogenin in cultured C2C12 myotubes treated with conditioned medium. In vivo, UA protected CT26 tumor-bearing mice against loss of body weight, as well as increased skeletal muscle and epididymal fat without affecting tumor growth. Additionally, UA increased food intake in CT26 tumor-bearing mice. The mRNA expression of tumor necrosis-α and interleukin 6 was significantly downregulated in the intestine, gastrocnemius, and heart tissues following 38 d UA administration. UA treatment reversed the levels of myocardial function indicators, including creatine kinase, creatine kinase-MB, lactate dehydrogenase, car-dial troponin T, and glutathione. Finally, UA treatment significantly inhibited the expression of MURF1, the phosphorylation of nuclear factor kappa-B p65, and STAT3 in the gastrocnemius muscle and heart tissues of cachexic mice. Our findings suggest that UA is a promising natural compound for developing dietary supplements for cancer cachexia therapy owing to its anti-catabolic effects.

Modified Controlling Nutritional Status (mCONUT) serves as a promising prognostic factor in patients with cancer cachexia

BACKGROUND

Malnutrition and systemic inflammation are considered 2 hallmarks of cancer cachexia. Our study aimed to construct a modified Controlling Nutritional Status by introducing C-reactive protein as an inflammatory parameter and investigate its prognostic value in patients with cancer cachexia.

METHODS

This multicenter cohort study included 5221 patients with cancer, among whom 1719 were diagnosed with cachexia. Concordance index and receiver operating characteristic curves were used to compare prognostic values between the 2 systems. The primary outcome was overall survival, and comprehensive survival analyses were performed. The secondary outcomes were short-term survival, malnutrition, and quality of life.

RESULTS

During the median follow-up of 17.47 mo, 813 deaths were recorded. The modified Controlling Nutritional Status was more accurate than Controlling Nutritional Status in predicting survival in patients with cancer cachexia. Patients in the high Controlling Nutritional Status/modified Controlling Nutritional Status group had a significantly shorter overall survival. Multivariate Cox analysis confirmed high Controlling Nutritional Status (hazard ratio = 1.34, 95% CI, 1.13-1.58; P < 0.001) and modified Controlling Nutritional Status (hazard ratio = 1.46; 95% CI, 1.26-1.69; P < 0.001) were independent risk factors for survival, adjusting for confounders. In subgroup analyses, a high modified Controlling Nutritional Status score had a significantly negative effect on survival in cachexia patients with upper gastrointestinal and colorectal cancer, especially for advanced-stage (stages III and IV) patients. The risk of short-term mortality and experiencing malnutrition rose to 1.48 and 1.13 times, respectively, in the high modified Controlling Nutritional Status group, as well as that for poorer life quality.

CONCLUSION

The modified Controlling Nutritional Status group comprehensively reflects nutritional, immune, and inflammatory status and serves as a powerful prognostic scoring system in patients with cancer cachexia.

Individualized threshold of the involuntary weight loss in prognostic assessment of cancer

BACKGROUND

Involuntary weight loss (WL) is a common symptom in cancer patients and is associated with poor outcomes. However, there is no standardized definition of WL, and it is unclear what magnitude of weight loss should be considered significant for prognostic purposes. This study aimed to determine an individualized threshold for WL that can be used for prognostic assessment in cancer patients.

METHODS

Univariate and multivariate analyses of overall survival (OS) were performed using Cox proportional hazard models. The Kaplan-Meier method was performed to estimate the survival distribution of different WL levels. Logistic regression analysis was used to determine the relationship between WL and 90-day outcomes. Restricted cubic splines with three knots were used to examine the effects of WL on survival under different body mass index (BMI) conditions.

RESULTS

Among the 8806 enrolled patients with cancer, median survival time declined as WL increased, from 25.1 to 20.1, 17.8 and 16.4 months at <2%, 2-5%, 5-10% and ≥10% WL, respectively (P < 0.001). Multivariate adjusted Cox regression analysis showed that the risk of adverse prognosis increased by 18.1% based on the SD of WL (5.45 U) (HR: 1.181, 95% CI: 1.144-1.219, P < 0.001). Similarly, categorical WL was independently associated with OS in patients with cancer. With the worsening of WL, the risk of a poor prognosis in patients increases stepwise. Compared with <2% WL, all-cause mortalities were 15.1%, 37% and 64.2% higher in 2-5%, 5-10%, and ≥10% WL, respectively. WL can effectively stratify the prognosis of both overall and site-specific cancers. The clinical prognostic thresholds for WL based on different BMI levels were 4.21% (underweight), 5.03% (normal), 6.33% (overweight), and 7.60% (obese). Multivariate logistic regression analysis showed that WL was independently associated with 90-day outcomes in patients with cancer. Compared with patients with <2% WL, those with ≥10% WL had more than twice the risk of 90-day outcomes (OR: 3.277, 95% CI: 2.287-4.694, P < 0.001). Systemic inflammation was a cause of WL deterioration. WL mediates 6.3-10.3% of the overall association between systemic inflammation and poor prognoses in patients with cancer.

CONCLUSIONS

An individualized threshold for WL based on baseline BMI can be used for prognostic assessment in cancer patients. WL and BMI should be evaluated simultaneously in treatment decision-making, nutritional intervention, and prognosis discussions of patients with cancer.

Carnosol analogue WK-63 alleviated cancer cachexia by inhibiting NF-κB and activating AKT pathways in muscle while inhibiting NF-κB and AMPK pathways in adipocyte

Cancer cachexia is a systemic metabolic disorder syndrome characterized by severe wasting of muscle and adipose tissues while is lack of effective therapeutic approaches. Carnosol (CS) was found in our previous study to exhibit ameliorating effects on cancer cachexia. In the present study, we designed and synthesized 49 CS analogues by structural modification of CS. Results of activity screening revealed that, among the analogues, WK-63 exhibited better effects than CS in ameliorating atrophy of C2C12 myotubes induced by conditioned medium of C26 tumor cells. WK-63 could also dose-dependently alleviate adipocyte lipolysis of mature 3 T3-L1 cells induced by C26 tumor cell conditioned medium. WK-63 alleviated myotube atrophy by inhibiting Nuclear Factor kappa-B (NF-κB) and activating the Protein Kinase B (AKT) signaling pathway, and also alleviated fat loss by inhibiting NF-κB and Adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK) signaling pathways. Results of pharmacokinetic (PK) assay showed that, compared with other analogues, WK-63 exhibited longer half-life (T1/2) and mean residence time (MRTs), as well as a larger concentration curve area (AUC0-t). These findings suggested that WK-63 might exert optimal effects in vivo. In the C26 tumor-bearing mice model, administration of WK-63 ameliorated the body weight loss and also improved the weight loss of epididymal adipose tissue. WK-63 is expected to be a novel therapeutic option for the treatment of cancer cachexia.

Improving the assessment of malnutrition in cancer: Using systemic inflammation markers as a supplement to the inflammation items of the GLIM criteria

BACKGROUND & AIMS

Systemic inflammation is a key pathogenic criterion for diagnosing malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria. Although cancer is commonly considered as a chronic inflammation-related disease, the inflammatory burden may vary depending on the type and stage of cancer. Therefore, a more precise definition of inflammation criteria could facilitate the identification of malnutrition in cancer.

METHODS

This prospective multicenter study included 1683 cancer patients screened via NRS2002 for malnutrition risk. The inflammatory burden index (IBI), C-reactive protein (CRP) level, neutrophil-to-lymphocyte ratio (NLR), and albumin (ALB) level were used to assess the inflammatory burden. Kaplan-Meier and Cox regression analyses were used to determine the relationship between the GLIM criteria and overall survival. Harrell's concordance index (C-index) was used to compare the discriminative performance of the original, IBI-based, CRP-based, NLR-based, and ALB-based GLIM criteria for survival. Logistic regression models were used to assess the association between GLIM criteria and short-term outcomes, length of hospital stay, and hospitalization costs.

RESULTS

Compared to the original GLIM criteria, the IBI/CRP/NLR/ALB-based GLIM criteria better predicted the long-term outcomes of patients with cancer (chi-square: 1.316 vs. 78.321 vs. 74.740 vs. 88.719 vs. 100.921). The C-index revealed that the inflammation marker-based GLIM criteria showed significantly better prognostic accuracy than the original GLIM criteria. The ALB-based GLIM criteria exhibited the best prognostic accuracy. The inflammation marker-based GLIM criteria were independent predictive factors for the long-term prognosis of cancer. Patients with malnutrition had a 45% higher risk of adverse long-term prognoses than those without malnutrition. The inflammation marker-based GLIM criteria had good prognostic ability to predict outcomes at 3, 6, and 12 months. The stepwise effect of the grading of severity via the IBI-based GLIM criteria and CRP-based GLIM criteria was notable. The inflammation marker-based GLIM criteria are useful for predicting short-term outcomes, length of hospitalization, and hospitalization costs.

CONCLUSION

The inflammation marker-based GLIM criteria have a stronger predictive value than the original GLIM criteria in evaluating both the short- and long-term prognoses of cancer patients. It is recommended to use the inflammation marker-based GLIM criteria for nutritional evaluation of cancer patients.

Relevance of Dietary Supplement Use in Gastrointestinal-Cancer-Associated Cachexia

Cancer cachexia is a multi-organ syndrome with unintentional weight loss, sarcopenia, and systemic inflammation. Gastrointestinal (GI) cancer patients are more susceptible to cachexia development due to impaired nutrient absorption and digestion. Given the widespread availability and relatively low cost of dietary supplements, we examined the evidence and effects of fish oil (omega-3 fatty acids), melatonin, probiotics, and green tea for managing symptoms of GI cancer cachexia. A literature review of four specific supplements was conducted using PubMed, Google Scholar, and CINAHL without a date restriction. Of 4621 available literature references, 26 articles were eligible for review. Fish oil decreased C-reactive protein and maintained CD4+ cell count, while melatonin indicated inconsistent findings on managing cachexia, but was well-tolerated. Probiotics decreased serum pro-inflammatory biomarkers and increased the tolerability of chemotherapy by reducing side effects. Green tea preparations and extracts showed a decreased risk of developing various cancers and did not impact tumor growth, survival, or adverse effects. Among these four supplements, probiotics are most promising for further research in preventing systemic inflammation and maintaining adequate absorption of nutrients to prevent the progression of cancer cachexia. Supplements may benefit treatment outcomes in cancer cachexia without side effects while supporting nutritional and therapeutic needs.

Current Therapeutic Targets in Cancer Cachexia: A Pathophysiologic Approach

Significant progress in our understanding of cancer cachexia has occurred in recent years. Despite these advances, no pharmacologic agent has achieved US Food and Drug Administration approval for this common and highly morbid syndrome. Fortunately, improved understanding of the molecular basis of cancer cachexia has led to novel targeted approaches that are in varying stages of drug development. This article reviews two major thematic areas that are driving these pharmacologic strategies, including those targeting signal mediators at the level of the CNS and skeletal muscle. Additionally, pharmacologic strategies are being tested in combination with targeted nutrients, nutrition therapy, and exercise to treat cancer cachexia. To this end, we highlight recently published and ongoing trials evaluating cancer cachexia therapies in these specific areas.

The differential effects of sarcopenia and cachexia on overall survival for pancreatic ductal adenocarcinoma patients following pancreatectomy: A retrospective study based on a large population

OBJECTIVES

Both cachexia and sarcopenia have been considered adverse predictors for prognosis in patients with pancreatic cancer; although sarcopenia and cachexia share some similarities, they are still defined as distinct nutritional conditions. We aimed to explore the differential impacts of sarcopenia and cachexia on prognosis for pancreatic ductal adenocarcinoma (PDAC) patients following radical excision.

METHODS

From January 2015 to May 2022, 614 patients undergoing surgery for PDAC were retrospectively included. Sarcopenia was defined as the L3 total skeletal muscle index below 52.4 cm² /m² (men) and 38.5 cm² /m² (women). Cachexia was classified according to the following criteria: involuntary weight loss >5% over the past 6 months, or weight loss >2% and BMI <20 kg/m² , or weight loss >2% and sarcopenia.

RESULTS

Of the 614 patients included in the analysis, 62% and 48% were diagnosed with sarcopenia and cachexia, respectively. Kaplan-Meier analysis showed that sarcopenia and/or cachexia were significantly associated with worse overall survival (OS) rather than worse recurrence-free survival (RFS). Moreover, Cox regression analysis revealed that cachexia rather than sarcopenia was an adverse factor for OS in all PDAC patients. For poorly differentiated PDAC, both cachexia and sarcopenia were significantly associated with shorter OS. However, for moderately/well-differentiated PADC, cachexia was an independent factor for adverse OS, but not sarcopenia.

CONCLUSIONS

Sarcopenia and cachexia have different effects on OS for PDAC patients undergoing radical excision. This difference may provide some important information for preoperative management.

Sarcopenia indicate poor survival in patients undergoing transarterial chemoembolization (TACE) for hepatic malignancies

BACKGROUND

Patient selection for transarterial chemoembolization (TACE) has remained challenging. Currently used markers mainly reflect liver function and turned out as less reliable in larger clinical trials. The patients´ body composition has been linked with patient outcome in different cancers. Now, we analyzed the function of different parameters of the patient's body composition as prognostic and/ or predictive parameters in patients that received TACE.

METHODS

CT scans were used to assess five parameters of the individual body composition (skeletal muscle index (SMI), median muscular attenuation (MMA), bone mineral density (BMD) as well as the visceral and subcutaneous fat area) in 89 patients undergoing TACE. Results were correlated with tumor response to TACE and outcome of patients.

RESULTS

SMI and visceral fat area were significantly higher in male patients and among patients undergoing TACE for HCC compared to patients with liver metastases. While all parameters of the body composition did not predict response to TACE, patients with an SMI below the ideal cutoff value of 37.76 cm²/m² had a significantly reduced long-term outcome with a median overall survival of 404 days compared to 1321 days for patients with a high SMI. Moreover, the pre-interventional SMI turned out as an independent prognostic factor in a multivariate Cox regression model including clinicopathological parameters and laboratory markers of organ dysfunction and systemic inflammation (HR: 0.899, 95% CI 0.827-0.979, p = 0.014).

CONCLUSION

The pre-interventional SMI represents an independent prognostic factor for overall survival following TACE. Assessment of the individual body composition using routine CT scan might help to identify the ideal patients for TACE.

Development of Nomogram Models Based on Peripheral Blood Score and Clinicopathological Parameters to Predict Preoperative Advanced Stage and Prognosis for Epithelial Ovarian Cancer Patients

Purpose

Nutritional and inflammatory states are crucial in cancer development. The purpose of this study is to construct a scoring system grounded on peripheral blood parameters associated with nutrition and inflammation and explore its value in stage, overall survival (OS), and progression-free survival (PFS) prediction for epithelial ovarian cancer (EOC) patients.

Patients and Methods

Four hundred and fifty-three EOC patients were retrospectively identified and their clinical data and relevant peripheral blood parameters were collected. The ratio of neutrophil to lymphocyte, lymphocyte to monocyte, fibrinogen to lymphocyte, total cholesterol to lymphocyte and albumin level were calculated and dichotomized. A scoring system named peripheral blood score (PBS) was constructed. Univariate and multivariate Logistic or Cox regression analyses were used to select independent factors; these factors were then used to develop nomogram models of advanced stage and OS, PFS, respectively. The internal validation and DCA analysis were performed to evaluate models.

Results

Lower PBS indicated a better prognosis and higher PBS indicated inferior. High PBS is associated with advanced stage, high CA125, serous histological type, poor differentiation, and accompanied ascites. The logistic regression showed age, CA125, and PBS were independent factors for the FIGO III-IV stage. The nomogram models for advanced FIGO stage based on these factors showed good efficiency. FIGO stage, residual disease, and PBS were independent factors affecting OS and PFS, the nomogram models composed of these factors had good performance. DCA curves revealed the models augmented net benefits.

Conclusion

PBS can be a noninvasive biomarker for EOC patients' prognosis. The related nomogram models could be powerful, cost-effective tools to provide information of advanced stage, OS, and PFS for EOC patients.