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Abstract Cancer cachexia is a multi-organ syndrome and closely related to changes in signal communication between organs, which is mediated by cancer cachexia factors. Cancer cachexia factors, being the general name of inflammatory factors, circulating proteins, metabolites, and microRNA secreted by tumor or host cells, play a role in secretory or other organs and mediate complex signal communication between organs during cancer cachexia. Cancer cachexia factors are also a potential target for the diagnosis and treatment. The pathogenesis of cachexia is unclear and no clear effective treatment is available. Thus, the treatment of cancer cachexia from the perspective of the tumor ecosystem rather than from the perspective of a single molecule and a single organ is urgently needed. From the point of signal communication between organs mediated by cancer cachexia factors, finding a deeper understanding of the pathogenesis, diagnosis, and treatment of cancer cachexia is of great significance to improve the level of diagnosis and treatment. This review begins with cancer cachexia factors released during the interaction between tumor and host cells, and provides a comprehensive summary of the pathogenesis, diagnosis, and treatment for cancer cachexia, along with a particular sight on multi-organ signal communication mediated by cancer cachexia factors. This summary aims to deepen medical community's understanding of cancer cachexia and may conduce to the discovery of new diagnostic and therapeutic targets for cancer cachexia.

Background Cachexia is associated with adverse clinical outcomes in patients with gastric cancer (GC); therefore, a convenient and reliable method for monitoring cachexia is essential. This study aimed to evaluate the utility of the cachexia index (CXI) as a biomarker for estimating cancer cachexia and health-related quality of life (HRQoL) in GC patients. Methods The CXI was calculated as the skeletal muscle index (SMI) × serum albumin / neutrophil–lymphocyte ratio (NLR). Diagnosis of cachexia was based on Asian Working Group for Cachexia (AWGC) criteria and Fearon’s criteria. Univariate and multivariate logistic regression analyses were carried out to identify potential risk factors related to cancer cachexia and HRQoL respectively. Receiver Operating Characteristics (ROC) analysis was conducted to evaluate the diagnostic value in identifying cancer cachexia, and the area under the ROC curve (AUC) was calculated. Results This study comprised a total of 431 patients diagnosed with GC, including 309 males (71.7%) and 122 females (28.3%), with a median age of 68 years. Compared to patients without cachexia, the CXI values were significantly lower in those with cachexia defined by either the AWGC criteria or Fearon’s criteria ( p  < 0.001). After adjusting for potential confounding factors in the multivariate logistic analysis, CXI was found to be independently associated with AWGC-defined cachexia (OR = 0.98, 95% CI: 0.97–0.99, p  < 0.001), but not with Fearon-defined cachexia (OR = 1.00, 95% CI: 0.99–1.01, p  = 0.601). Based on ROC curve analysis, the AUC was 0.752 for males and 0.717 for females, with cut-off CXI values of 74.46 and 43.80 for identifying AWGC-defined cachexia, respectively. Patients with low CXI demonstrated greater severity in major aspects of HRQoL, and low CXI was independently associated with poor HRQoL (OR = 1.79, 95% CI = 1.05–3.07, p  = 0.033). Conclusions CXI could serve as a useful biomarker for evaluating cancer cachexia and HRQoL in patients with GC.

Background The existing diagnostic criteria for cancer cachexia do not meet clinical needs. We aimed to establish novel comprehensive evaluation scales for cachexia specific to patients with solid tumours. Methods This study included 12 651 patients (males: 6793 [53.7%]; females: 5858 [46.3%]; medium age: 58 [interquartile range:50/66] years; medium follow‐up duration: 24.16 [13.32/44.84] months; 4271 [33.8%] patients died; mean survival: 55.53 [95% confidence interval, 54.87/56.10] months; 3344 [26.4%], 4184 [33.1%] and 5123 [40.5%] patients with Stage I–II, III and IV tumour, respectively; derivation set: 10022, validation set: 2629 patients) with 14 types of solid tumours, including lung, gastric, liver, breast, oesophageal, cervical, bladder, pancreatic, prostate, ovarian, colorectal cancer, nasopharyngeal and endometrial carcinoma and cholangiocarcinoma, from an open and ongoing multicentre cohort study in China. Risk factors for cachexia, including tumour characteristics and nutritional parameters, were examined to develop diagnostic scales using Cox proportional hazards models and Kaplan–Meier analysis. Results Ten nutrition items (body mass index, weight loss, intake reduction, physical activity function, fatigue, handgrip strength, anorexia, albumin level, albumin/globulin ratio and neutrophil/lymphocyte ratio) with different weighted scores were identified to construct a nutrition‐weighted scoring scale (NWSS) for nutrition risk. Tumour type and tumour burden status (tumour‐node‐metastasis stage and radical or non‐radical tumour) were determined to construct a disease‐weighted scoring scale (DWSS) for disease risk. A lumped scale (5 × 5 matrix) established using a five‐grade classification of nutrition and disease risk was used to determine a five‐grade classification of comprehensive cachexia risk: A, no cachexia risk (reference; lowest disease and nutrition risks); B, cachexia risk (hazard ratio [HR] = 4.517 [4.033/5.058]); C, pre‐cachexia (HR = 9.755 [8.73/10.901], medium survival = 21.21 months); D, cachexia (HR = 16.901 [14.995/19.049], medium survival = 11.61 months); and E, refractory cachexia (HR = 31.879 [28.244/35.981], medium survival = 4.83 months, highest disease and nutrition risks) (p < 0.001). Patients in Categories A–D benefited from nutrition therapy and anti‐tumour treatments to varying degrees. Patients in Category E were clinically refractory to nutrition therapy without prolonged survival compared with patients without nutrition therapy (medium survival, pre‐hospitalization nutrition therapy vs. hospitalization nutrition therapy vs. without nutrition therapy, 2.89 [1.91/3.88] vs. 4.04 [3.21/4.88] vs. 5.89 [4.73/7.04] months, p = 0.015) and anti‐tumour treatments without prolonged survival compared with patients receiving palliative care (medium survival, radical anti‐tumour treatments vs. adjuvant anti‐tumour treatments vs. palliative anti‐tumour treatments vs. and palliative care, 6.48 [4.42/8.53] vs. 6.48 [3.23/9.73] vs. 4.83 [4.22/5.44] vs. 2.70 [1.09/4.30] months, p = 0.263). Conclusion We systematically developed a novel definition and grading diagnostic criteria for tumour‐type‐specific comprehensive cancer cachexia risk.

More than 50% of people with advanced cancer suffer from cancer-related cachexia (CC) - a major contributor to morbidity and mortality. Despite the lack of local guidelines on CC diagnosis and management in Uganda, the American Society of Clinical Oncology (ASCO), the European Society for Medical Oncology (ESMO) and the Global Leadership Initiative on Malnutrition (GLIM) developed guidelines on CC screening and management. However, the level of knowledge on CC and compliance with the available guidelines among Ugandan oncology health professionals is unknown. This study aimed to assess the level of among (HCPs) involved in the care of cancer patients. In this phase one, a self-administered structured questionnaire developed using the ASCO/ESMO and GLIM guidelines on diagnosis and management of CC was used to assess the level of awareness, and knowledge of 200 health professionals from three hospital settings on CC, and compliance with the ASCO/ESMO/GLIM guidelines on CC related core communication, barriers to communication, clinician training in communication, discussing goals of care, treatment options and meeting the needs of the underserved populations. The data were entered into Research Electronic Data Capture software analysed using STATA version 18.0 software. The overall objectively correct knowledge score of CC diagnosis criteria was 67.5% ( = 135), yet there was a much lower level of awareness about ASCO/ESMO/GLIM guidelines on CC at 30% ( = 60) and only 21% ( = 42) of the HCPs have ever assessed Quality of life of CC patients. The compliance with ASCO/ESMO/GLIM guidelines on nutritional interventions for patients with CC varied across the variables markedly, ranging from 25.1% ( = 50) to 81% ( = 162) for the specific ASCO/ESMO/GLIM guidelines' recommendations. Whereas compliance with the guidelines on discussing goals of care, prognosis, treatment options and end-of-life care scored the highest in most variables, most HCPs exhibited low compliance with the discussion about patients' end-of-life preferences early in the course of incurable illness (49.8%, = 99). There were statistically significant differences between the mean scores of only two variables among the three hospitals in compliance with ASCO/ESMO/GLIM guidelines on the provision. This study indicated that the overall objectively correct knowledge of CC diagnosis criteria was inadequate, with a much lower level of awareness about the ASCO/ESMO/GLIM guidelines on CC and a handful of the HCPs have ever assessed the quality of life of CC patients. Quality improvement interventions on CC diagnosis and management should prioritize improving the level of knowledge on CC, diagnostic criteria and patient-clinician communication, including discussion about patients' end-of-life care using standardised tools such as ASCO/ESMO or GLIM guidelines on CC using a multidisciplinary team approach.

Cancer cachexia consists of dramatic body weight loss with rapid muscle depletion due to imbalanced protein homeostasis. We found that the mRNA levels of apelin decrease in muscles from cachectic hepatoma-bearing rats and three mouse models of cachexia. Furthermore, apelin expression inversely correlates with MuRF1 in muscle biopsies from cancer patients. To shed light on the possible role of apelin in cachexia in vivo, we generated apelin 13 carrying all the last 13 amino acids of apelin in D isomers, ultimately extending plasma stability. Notably, apelin D-peptides alter cAMP-based signaling in vitro as the L-peptides, supporting receptor binding. In vitro apelin 13 protects myotube diameter from dexamethasone-induced atrophy, restrains rates of degradation of long-lived proteins and MuRF1 expression, but fails to protect mice from atrophy. D-apelin 13 given intraperitoneally for 13 days in colon adenocarcinoma C26-bearing mice does not reduce catabolic pathways in muscles, as it does in vitro. Puzzlingly, the levels of circulating apelin seemingly deriving from cachexia-inducing tumors, increase in murine plasma during cachexia. Muscle electroporation of a plasmid expressing its receptor APJ, unlike apelin, preserves myofiber area from C26-induced atrophy, supporting apelin resistance in vivo. Altogether, we believe that during cachexia apelin resistance occurs, contributing to muscle wasting and nullifying any possible peptide-based treatment.

Cancer-induced muscle wasting, which commonly occurs in cancer cachexia, is characterized by impaired quality of life and poor patient survival. To identify an appropriate treatment, research on the mechanism underlying muscle wasting is essential. Thus far, studies on muscle wasting using cancer cachectic models have generally focused on early cancer cachexia (ECC), before severe body weight loss occurs. In the present study, we established models of ECC and late cancer cachexia (LCC) and compared different stages of cancer cachexia using two cancer cachectic mouse models induced by colon-26 (C26) adenocarcinoma or Lewis lung carcinoma (LLC). In each model, tumor-bearing (TB) and control (CN) mice were injected with cancer cells and PBS, respectively. The TB and CN mice, which were euthanized on the 24th day or the 36th day after injection, were defined as the ECC and ECC-CN mice or the LCC and LCC-CN mice. In addition, the tissues were harvested and analyzed. We found that both the ECC and LCC mice developed cancer cachexia. The amounts of muscle loss differed between the ECC and LCC mice. Moreover, the expression of some molecules was altered in the muscles from the LCC mice but not in those from the ECC mice compared with their CN mice. In conclusion, the molecules with altered expression in the muscles from the ECC and LCC mice were not exactly the same. These findings may provide some clues for therapy which could prevent the muscle wasting in cancer cachexia from progression to the late stage.

Cancer cachexia (CC) is a multifactorial syndrome in patients with advanced cancer characterized by weight loss via skeletal-muscle and adipose-tissue atrophy, catabolic activity, and systemic inflammation. CC is correlated with functional impairment, reduced therapeutic responsiveness, and poor prognosis, and is a major cause of death in cancer patients. In colorectal cancer (CRC), cachexia affects around 50–61% of patients, but remains overlooked, understudied, and uncured. The mechanisms driving CC are not fully understood but are related, at least in part, to the local and systemic immune response to the tumor. Accumulating evidence demonstrates a significant role of tumor microenvironment (TME) cells (e.g., macrophages, neutrophils, and fibroblasts) in both cancer progression and tumor-induced cachexia, through the production of multiple procachectic factors. The most important role in CRC-associated cachexia is played by pro-inflammatory cytokines, including the tumor necrosis factor α (TNFα), originally known as cachectin, Interleukin (IL)-1, IL-6, and certain chemokines (e.g., IL-8). Heterogeneous CRC cells themselves also produce numerous cytokines (including chemokines), as well as novel factors called “cachexokines”. The tumor microenvironment (TME) contributes to systemic inflammation and increased oxidative stress and fibrosis. This review summarizes the current knowledge on the role of TME cellular components in CRC-associated cachexia, as well as discusses the potential role of selected mediators secreted by colorectal cancer cells in cooperation with tumor-associated immune and non-immune cells of tumor microenvironment in inducing or potentiating cancer cachexia. This knowledge serves to aid the understanding of the mechanisms of this process, as well as prevent its consequences.

Background Cancer‐associated cachexia can inhibit immune checkpoint inhibitor (ICI) therapy efficacy. Cachexia's effect on ICI therapy has not been studied in large cohorts of cancer patients aside from lung cancer. We studied associations between real‐world routinely collected clinical cachexia markers and disability‐free, hospitalization‐free and overall survival of cancer patients. Methods A retrospective study was conducted of electronic health records (EHR) of patients with lung, renal cell, melanoma and other cancers treated with ICI therapy at Northwestern Medicine of Chicago, IL, United States, between March 2011 and January 2022. Weight, body mass index, absolute neutrophil and lymphocyte counts, albumin and C‐reactive protein (CRP) measures were analysed to calculate the Fearon consensus criteria for cachexia, weight loss grading system (WLGS) score, neutrophil‐lymphocyte ratio (NLR), Prognostic Nutritional Index (PNI) and modified Glasgow Prognostic Score (mGPS) at ICI therapy initiation. Kaplan–Meier and Cox proportional hazards analyses were used to determine associations between these metrics and disability‐free, hospitalization‐free and overall survival. Results EHR analysis uncovered 3285 cancer patients on ICI therapy (54% > 65 years of age, 50.7% male, 77.7% White). At ICI therapy initiation, 1282 (39.0%) patients had cachexia (consensus criteria), 1641 (50.0%) had a WLGS score ≥ 2, 1806 (55.0%) had an NLR > 3, 1087 (33.1%) had albumin < 3.5 g/dL and 1318 (40.1%) had a PNI < 44. Missing measurements included CRP missing for 98.2% and mGPS missing for 98.6% of patients. Disability‐free (n = 1373), hospitalization‐free (n = 2374) and overall survival (n = 1599) events were analysed with 1‐year rates of 65% (64%–67%), 35% (34%–37%) and 65% (63%–66%), respectively. Multivariate Cox model analyses showed hazard ratios (HR) for cachexia at 1.58 (95% CI 1.38–1.80), 1.47 (95% CI 1.33–1.63) and 1.97 (95% CI 1.75–2.23) for disability, hospitalization and death, respectively. HRs for WLGS ≥ 2 were 1.45 (95% CI 1.28–1.66), 1.37 (95% CI 1.24–1.51) and 1.91 (95% CI 1.69–2.17). HRs for NLR > 3 were 1.57 (95% CI 1.35–1.83), 1.40 (95% CI 1.25–1.58) and 1.95 (95% CI 1.67–2.27). HRs for albumin < 3.5 g/dL were 1.33 (95% CI 1.15–1.54), 1.67 (95% CI 1.50–1.86) and 2.09 (95% CI 1.84–2.36). HRs for PNI < 44 were 1.60 (95% CI 1.39–1.84), 1.46 (95% CI 1.31–1.63) and 2.07 (95% CI 1.80–2.37). Conclusions Fearon consensus criteria, WLGS, NLR, albumin and PNI were routinely collected at ICI initiation in regular clinical practice and predictive of worse disability‐free, hospitalization‐free and overall survival in cancer patients receiving ICI therapy. These routine clinical measures may aid prognostication and decision‐making in cancer patients with cachexia.

Cancer-associated cachexia (CAC) is a hypermetabolic syndrome characterized by unintended weight loss due to the atrophy of adipose tissue and skeletal muscle. A phenotypic switch from white to beige adipocytes, a phenomenon called browning, accelerates CAC by increasing the dissipation of energy as heat. Addressing the mechanisms of white adipose tissue (WAT) browning in CAC, we now show that cachexigenic tumors activate type 2 immunity in cachectic WAT, generating a neuroprotective environment that increases peripheral sympathetic activity. Increased sympathetic activation, in turn, results in increased neuronal catecholamine synthesis and secretion, β-adrenergic activation of adipocytes, and induction of WAT browning. Two genetic mouse models validated this progression of events. 1) Interleukin-4 receptor deficiency impeded the alternative activation of macrophages, reduced sympathetic activity, and restrained WAT browning, and 2) reduced catecholamine synthesis in peripheral dopamine β-hydroxylase (DBH)–deficient mice prevented cancer-induced WAT browning and adipose atrophy. Targeting the intraadipose macrophage-sympathetic neuron cross-talk represents a promising therapeutic approach to ameliorate cachexia in cancer patients.

Background Cancer cachexia represents a central obstacle in medical oncology as it is associated with poor therapy response and reduced overall survival. Systemic inflammation is considered to be a key driver of cancer cachexia; however, clinical studies with anti‐inflammatory drugs failed to show distinct cachexia‐inhibiting effects. To address this contradiction, we investigated the functional importance of innate immune cells for hepatocellular carcinoma (HCC)‐associated cachexia. Methods A transgenic HCC mouse model was intercrossed with mice harbouring a defect in myeloid cell‐mediated inflammation. Body composition of mice was analysed via nuclear magnetic resonance spectroscopy and microcomputed tomography. Quantitative PCR was used to determine adipose tissue browning and polarization of adipose tissue macrophages. The activation state of distinct areas of the hypothalamus was analysed via immunofluorescence. Multispectral immunofluorescence imaging and immunoblot were applied to characterize sympathetic neurons and macrophages in visceral adipose tissue. Quantification of pro‐inflammatory cytokines in mouse serum was performed with a multiplex immunoassay. Visceral adipose tissue of HCC patients was quantified via the L3 index of computed tomography scans obtained during routine clinical care. Results We identified robust cachexia in the HCC mouse model as evidenced by a marked loss of visceral fat and lean mass. Computed tomography‐based analyses demonstrated that a subgroup of human HCC patients displays reduced visceral fat mass, complementing the murine data. While the myeloid cell‐mediated inflammation defect resulted in reduced expression of pro‐inflammatory cytokines in the serum of HCC‐bearing mice, this unexpectedly did not translate into diminished but rather enhanced cachexia‐associated fat loss. Defective myeloid cell‐mediated inflammation was associated with decreased macrophage abundance in visceral adipose tissue, suggesting a role for local macrophages in the regulation of cancer‐induced fat loss. Conclusions Myeloid cell‐mediated inflammation displays a rather unexpected beneficial function in a murine HCC model. These results demonstrate that immune cells are capable of protecting the host against cancer‐induced tissue wasting, adding a further layer of complexity to the pathogenesis of cachexia and providing a potential explanation for the contradictory results of clinical studies with anti‐inflammatory drugs.