Prognostic significance of cachexia in advanced non-small cell lung cancer patients treated with pembrolizumab

Leptin as a surrogate immune-metabolic marker to predict impact of anti-cachectic therapy: results of a prospective randomized trial in multiple solid tumors

DESCRIPTION OF THE WORK

Leptin is a reliable predictive and surrogate marker of the efficacy of multitargeted treatment of cancer cachexia.

PURPOSE

To the best of our knowledge, no study has assessed the predictive role of biomarkers in establishing the effectiveness of anti-cachectic treatment, which remains a complex issue. Herein, we aimed to find a marker that can detect early response to anti-cachectic treatment.

PATIENTS AND METHODS

From January 2012 to December 2022, all consecutive eligible advanced cancer patients with cachexia were prospectively enrolled in an exploratory and validation cohort according to eligibility criteria. All patients received a combined anti-cachectic treatment consisting of megestrol acetate plus celecoxib plus l-carnitine plus antioxidants that showed efficacy in a previous phase III randomized study. Primary endpoints were an increase in lean body mass (LBM), a decrease in resting energy expenditure (REE), a decrease in fatigue, and improvement in global quality of life.

RESULTS

A total of 553 consecutive patients were recruited. Twenty patients dropped out, equally distributed over the exploratory (11 patients) and validation (9 patients) cohorts, for early death due to disease progression. Then, 533 patients were deemed assessable. Leptin level changes inversely correlated with circulating levels of inflammatory mediators and reflected the improvement of body composition, energy metabolism, functional performance, and quality of life. At multivariate regression analysis, at week 8, leptin change was an independent predictor of LBM, skeletal muscle index (SMI), grip strength increase, and REE; at week 16, leptin change was an independent predictor of the same parameters and improvement in Eastern Cooperative Oncology Group performance status. The ability of leptin to predict changes in LBM, SMI, REE, and grip strength was superior to that of other inflammatory markers when comparing the receiver operating curves. Moreover, increasing delta leptin values were associated with significantly better outcomes in LBM, SMI, REE, grip strength, and fatigue.

CONCLUSIONS

Leptin is a reliable predictive marker for multitargeted anti-cachectic treatment outcomes. Thus, it can be an ideal candidate for monitoring and predicting the effects of anti-cachectic treatment and a surrogate marker of the immune-metabolic actions of the selected drugs.

Multicenter Pharmacokinetic and Pharmacodynamic Study of Pembrolizumab for Non-small-Cell Lung Cancer in Patients Aged 75 Years and Older

Pembrolizumab is a major treatment for recurrent or advanced non-small-cell lung cancer (NSCLC). However, data on its use and pharmacokinetics (PK) in older patients are limited. This open-label, multicenter, observational study evaluated real-world data on the safety, efficacy, and PK of pembrolizumab in older patients with NSCLC. In 99 patients aged ≥75 years, PK was determined by liquid chromatography-mass spectrometry on pretreatment samples. Performance status (PS), geriatric assessment (GA), overall response rate (ORR), progression-free survival (PFS), and overall survival (OS) were evaluated. The median age was 78 (75-87) years. PS was 2-3 in 14 patients. The median ORR, PFS, and OS were 47.5%, 8.0, and 20.5 months, respectively. Although PK and ORR were not significantly associated, patients with the lowest Cycle 1-trough quartile (Q1) experienced poorer PFS (Q1 vs. Q2-4; 3.4 vs. 11.8 months, P = 0.006) and OS (Q1 vs. Q2-4; 9.9 vs. 21.7 months, P = 0.005) than in other quartiles overall, and even in the PD-L1 ≥50% subset (PFS, Q1 vs. Q2-4; 4.1 vs. 14.7 months, P = 0.005; OS, Q1 vs. Q2-4; 9.4 vs. 22.1 months, P = 0.010). The Q1 subgroup was characterized by poor PS and lower albumin, and more frequent "weight loss ≥ 10%" on the GA. Pembrolizumab therapy had similar PK and efficaciousness in older as well as younger patients. In patients with PS ≥2, low albumin, and vulnerable GA, early increases in PK levels are less likely, potentially diminishing efficacy even when PD-L1 ≥50%.

Prevalence of and Survival with Cachexia among Patients with Cancer: A Systematic Review and Meta-Analysis

Cachexia is associated with lower overall survival (OS) in patients with cancer; however, the relationship between the two is reported to differ according to the definitive criteria for diagnosing cachexia. We aimed to investigate 1) the difference in the prevalence of cachexia in patients with cancer and 2) the association between cachexia and OS, depending on the definitive criteria for diagnosing cachexia in patients with cancer. We searched PubMed and Web of Science from their inception until July 31, 2023, to identify eligible studies. We conducted a systematic review of the prevalence of cachexia in patients with cancer and performed a meta-analysis to investigate its relationship with OS. A total of 125 articles comprising 137,960 patients were included in the systematic review, and 26 articles consisting of 11,118 patients underwent meta-analysis. The overall prevalence of cachexia in patients with cancer was 33.0% (95% confidence interval [CI]: 32.8, 33.3); however, it varied according to the definitive criteria for diagnosing cachexia (13.9%-56.5%). According to the Fearon 2011 criteria, the prevalence of cachexia was associated with a high hazard ratio (HR) for OS compared with that of noncachexia [HR: 1.58 (95% CI: 1.45, 1.73)]; according to the other criteria, the HR was 2.78 (95% CI: 1.88, 4.11), indicating significant subgroup differences (P = 0.006). The dose-response curve indicated that the HR for OS plateaued at a cachexia prevalence range of 40%-50% (l-shaped relationship). The prevalence of cachexia in patients with cancer may vary depending on the definitive criteria used to diagnose cachexia. The HR for OS was higher for low cachexia prevalence. The definitive criteria should be carefully considered when assessing cachexia in patients with cancer. This trial was registered at the PROSPERO as CRD42023435474.

Cancer cachexia: biomarkers and the influence of age

Cancer cachexia (Ccx) is a complex metabolic condition characterized by pronounced muscle and fat wasting, systemic inflammation, weakness and fatigue. Up to 30% of cancer patients succumb directly to Ccx, yet therapies that effectively address this perturbed metabolic state are rare. In recent decades, several characteristics of Ccx have been established in mice and humans, of which we here highlight adipose tissue dysfunction, muscle wasting and systemic inflammation, as they are directly linked to biomarker discovery. To counteract cachexia pathogenesis as early as possible and mitigate its detrimental impact on anti-cancer treatments, identification and validation of clinically endorsed biomarkers assume paramount importance. Ageing was recently shown to affect both the validity of Ccx biomarkers and Ccx development, but the underlying mechanisms are still unknown. Thus, unravelling the intricate interplay between ageing and Ccx can help to counteract Ccx pathogenesis and tailor diagnostic and treatment strategies to individual needs.

Involvement of the gut microbiota in cancer cachexia

Cancer cachexia, or the unintentional loss of body weight in patients with cancer, is a multiorgan and multifactorial syndrome with a complex and largely unknown etiology; however, metabolic dysfunction and inflammation remain hallmarks of cancer-associated wasting. Although cachexia manifests with muscle and adipose tissue loss, perturbations to the gastrointestinal tract may serve as the frontline for both impaired nutrient absorption and immune-activating gut dysbiosis. Investigations into the gut microbiota have exploded within the past two decades, demonstrating multiple gut-tissue axes; however, the link between adipose and skeletal muscle wasting and the gut microbiota with cancer is only beginning to be understood. Furthermore, the most used anticancer drugs (e.g. chemotherapy and immune checkpoint inhibitors) negatively impact gut homeostasis, potentially exacerbating wasting and contributing to poor patient outcomes and survival. In this review, we 1) highlight our current understanding of the microbial changes that occur with cachexia, 2) discuss how microbial changes may contribute to adipose and skeletal muscle wasting, and 3) outline study design considerations needed when examining the role of the microbiota in cancer-induced cachexia.

Effect of longitudinal changes of cachexia on the efficacy and toxicity of immune checkpoint inhibitors in esophageal squamous cell cancer (ESCC) patients

PURPOSE

Immune checkpoint inhibitors (ICIs) have enhanced survival in advanced esophageal squamous cell cancer (ESCC) patients, but their efficacy varies. Cachexia, characterized by muscle loss and significant weight loss, might influence ICI response. This study examines the relationship between cachexia's longitudinal changes and ICI outcomes in ESCC patients.

METHODS

ESCC patients undergoing at least two ICI cycles from 2017 to 2021 were studied. Cachexia's baseline and evolving patterns during ICI treatment were observed. Kaplan-Meier and Cox regression analyses were used to assess cachexia's effect on ICI efficacy. Chi-square tests were used to determine cachexia's link to immune-related adverse effects (irAEs).

RESULTS

Two hundred seventy-eight ICI-treated patients had a median progression-free survival (PFS) of 5.78 months and overall survival (OS) of 8.3 months. Pretreatment cachexia led to worse outcomes: PFS 7.87 versus 5.3 months, time to progression (TTP) 10.9 versus 6.1 months, and OS 14.3 versus 9.2 months. Irreversible cachexia showed the poorest results. Cachexia's changes weren't associated with irAEs.

CONCLUSION

Baseline and evolving cachexia significantly impact ICI efficacy in ESCC patients. Continuous cachexia monitoring during ICI therapy is crucial for optimal ESCC management.

Mortality burden of pre-treatment weight loss in patients with non-small-cell lung cancer: A systematic literature review and meta-analysis

Cachexia, with weight loss (WL) as a major component, is highly prevalent in patients with cancer and indicates a poor prognosis. The primary objective of this study was to conduct a meta-analysis to estimate the risk of mortality associated with cachexia (using established WL criteria prior to treatment initiation) in patients with non-small-cell lung cancer (NSCLC) in studies identified through a systematic literature review. The review was conducted according to PRISMA guidelines. Embase® and PubMed were searched to identify articles on survival outcomes in adult patients with NSCLC (any stage) and cachexia published in English between 1 January 2016 and 10 October 2021. Two independent reviewers screened titles, abstracts and full texts of identified records against predefined inclusion/exclusion criteria. Following a feasibility assessment, a meta-analysis evaluating the impact of cachexia, defined per the international consensus criteria (ICC), or of pre-treatment WL ≥ 5% without a specified time interval, on overall survival in patients with NSCLC was conducted using a random-effects model that included the identified studies as the base case. The impact of heterogeneity was evaluated through sensitivity and subgroup analyses. The standard measures of statistical heterogeneity were calculated. Of the 40 NSCLC publications identified in the review, 20 studies that used the ICC for cachexia or reported WL ≥ 5% and that performed multivariate analyses with hazard ratios (HRs) or Kaplan-Meier curves were included in the feasibility assessment. Of these, 16 studies (80%; n = 6225 patients; published 2016-2021) met the criteria for inclusion in the meta-analysis: 11 studies (69%) used the ICC and 5 studies (31%) used WL ≥ 5%. Combined criteria (ICC plus WL ≥ 5%) were associated with an 82% higher mortality risk versus no cachexia or WL < 5% (pooled HR [95% confidence interval, CI]: 1.82 [1.47, 2.25]). Although statistical heterogeneity was high (I2 = 88%), individual study HRs were directionally aligned with the pooled estimate, and there was considerable overlap in CIs across included studies. A subgroup analysis of studies using the ICC (HR [95% CI]: 2.26 [1.80, 2.83]) or WL ≥ 5% (HR [95% CI]: 1.28 [1.12, 1.46]) showed consistent findings. Assessments of methodological, clinical and statistical heterogeneity indicated that the meta-analysis was robust. Overall, this analysis found that ICC-defined cachexia or WL ≥ 5% was associated with inferior survival in patients with NSCLC. Routine assessment of both weight and weight changes in the oncology clinic may help identify patients with NSCLC at risk for worse survival, better inform clinical decision-making and assess eligibility for cachexia clinical trials.

Cancer cachexia as a predictor of adverse outcomes in patients with non-small cell lung cancer: A meta-analysis

INTRODUCTION

Cancer cachexia is a complex problem characterized by weight loss due to skeletal muscle and adipose tissue reduction. The purpose of this meta-analysis is to examine the association between cancer cachexia and adverse outcomes in patients with non-small cell lung cancer (NSCLC).

METHODS

A comprehensive search was conducted in the PubMed, Web of Science, and Embase databases from their inception to January 15, 2024. Retrospective or prospective studies that investigated the cancer cachexia as a predictor of overall survival (OS), progression-free survival (PFS), overall response rate (ORR), or disease control rate (DCR) in NSCLC patients were included in this analysis.

RESULTS

Sixteen studies, comprising 5919 NSCLC patients, were identified. The pooled prevalence of cachexia in NSCLC patients was 39%, with individual studies reporting rates ranging from 19% to 63.8%. A meta-analysis using a random effects model showed that cachexia was associated with reduced OS (hazard ratio [HR] 1.84; 95% confidence interval [CI] 1.54-2.21) and PFS (HR 1.49; 95% CI 1.27-1.73). Subgroup analysis indicated that cancer cachexia significantly predicted OS, regardless of study design, NSCLC subtypes, cancer stage, definitions of cachexia, or follow-up duration. However, there was no clear association between cancer cachexia and ORR or DCR.

CONCLUSIONS

Cancer cachexia emerges is a negative prognostic factor for OS and PFS in NSCLC patients. Assessing cancer cachexia can improve risk classification for survival outcomes in this patient population.

Understanding cachexia and its impact on lung cancer and beyond

Cancer cachexia is a multifactorial syndrome characterized by loss of body weight secondary to skeletal muscle atrophy and adipose tissue wasting. It not only has a significant impact on patients' quality of life but also reduces the effectiveness and tolerability of anticancer therapy, leading to poor clinical outcomes. Lung cancer is a prominent global health concern, and the prevalence of cachexia is high among patients with lung cancer. In this review, we integrate findings from studies of lung cancer and other types of cancer to provide an overview of recent advances in cancer cachexia. Our focus includes topics such as the clinical criteria for diagnosis and staging, the function and mechanism of selected mediators, and potential therapeutic strategies for clinical application. A comprehensive summary of current studies will improve our understanding of the mechanisms underlying cachexia and contribute to the identification of high-risk patients, the development of effective treatment strategies, and the design of appropriate therapeutic regimens for patients at different disease stages.

Influence of cachexia on immunotherapy efficacy and prognosis for malignant tumors of the digestive system

BACKGROUND

The presence of cancer cachexia is a significant adverse prognostic indicator in patients with malignant tumors. Cancer cachexia is a multifactorial syndrome characterized by a constant loss of skeletal muscles with or without a loss of weight, leading to immune dysfunction. We performed a retrospective study to investigate the influence of cachexia on the immunotherapy efficacy and prognosis for malignant tumors of the digestive system.

METHODS

The present study adopts a cross-sectional design. The prognosis data of patients with advanced cancer of the digestive system who received immunotherapy from September 2021 to December 2022 were analyzed. Cachexia was calculated using the change of the area of the psoas major muscle (PMMA) or the weight. We measured the change at the beginning of immunotherapy and at least 2 cycles afterward. The participants were categorized into the cachexia group and control group based on the evaluation criteria. Kaplan-Meier and Log-rank methods were used for survival analysis. Cox proportional hazard model as a method to assess the contribution of different clinical factors to overall survival (OS) and progression-free survival (PFS).

RESULTS

A total number of 98 patients, including esophageal carcinoma (4, 4%), gastric (36, 37%), colorectal (51, 52%), and other cancer types (7, 7%), were enrolled. Fifty-four patients were diagnosed with non-cancer cachexia, and the cancer cachexia group included 44 patients. The median PFS in the cachexia group was shorter than that in the control group (130 days vs. 212 days). Their difference was not significant (p = .321). The survival rate of the patients without cachexia was longer than of those with cachexia (p = .027). The level of albumin and the number of metastatic organs were related to PFS (p = .020, p = .029). The albumin level was significantly associated with the OS of patients (p = .003).

CONCLUSIONS

The presence of cachexia was significantly associated with poor OS in patients with malignant tumors of the digestive system who received immunotherapy, not with PFS or the response to immunotherapy.

Exploring the multifaceted effects of Interleukin-1 in lung cancer: From tumor development to immune modulation

Lung cancer, acknowledged as one of the most fatal cancers globally, faces limited treatment options on an international scale. The success of clinical treatment is impeded by challenges such as late diagnosis, restricted treatment alternatives, relapse, and the emergence of drug resistance. This predicament has led to a saturation point in lung cancer treatment, prompting a rapid shift in focus towards the tumor microenvironment (TME) as a pivotal area in cancer research. Within the TME, Interleukin-1 (IL-1) is abundantly present, originating from immune cells, tissue stromal cells, and tumor cells. IL-1's induction of pro-inflammatory mediators and chemokines establishes an inflammatory milieu influencing tumor occurrence, development, and the interaction between tumors and the host immune system. Notably, IL-1 expression in the TME exhibits characteristics such as staging, tissue specificity, and functional pluripotency. This comprehensive review aims to delve into the impact of IL-1 on lung cancer, encompassing aspects of occurrence, invasion, metastasis, immunosuppression, and immune surveillance. The ultimate goal is to propose a novel treatment approach, considering the intricate dynamics of IL-1 within the TME.

Cancer cachexia reduces the efficacy of immune checkpoint inhibitors in cancer patients

OBJECTIVE

Cachexia, a multifactorial syndrome, is frequently noticed in cancer patients. A recent study has shown inconsistent findings about the relationship between cachexia and the efficiency of immune checkpoint inhibitors (ICIs). To analyze this disparity, we did a meta-analysis.

METHODS

From the beginning of each database to July 2023, literature describing the association between cachexia and prognosis of ICI-treated patients with solid malignancies was systematically searched in three online databases. Estimates were pooled, and 95% confidence intervals (CIs) were generated.

RESULTS

We analyzed a total of 12 articles, which included data from 1407 patients. The combined results of our analysis showed that cancer patients with cachexia had significantly worse overall survival (HR = 1.88, 95% CI: 1.59-2.22, p < 0.001), progression-free survival (HR = 1.84, 95% CI: 1.59-2.12, p < 0.001), and time to treatment failure (HR = 2.15, 95% CI: 1.32-3.50, p = 0.002). These findings were consistent in both univariate and multivariate analyses. Additionally, while not statistically significant, we observed a trend towards a lower objective response rate in cancer patients with cachexia compared to those without cachexia (OR = 0.59, 95% CI: 0.32-1.09, p = 0.093).

CONCLUSION

Poor survival in cachexia patients suggests a negative relationship between cachexia and ICI efficacy. In clinical practice, the existence of cachexia should be estimated to choose individuals who may benefit from ICIs.

Antibody Drug Clearance: An Underexplored Marker of Outcomes with Checkpoint Inhibitors

Immune-checkpoint inhibitor (ICI) therapy has dramatically changed the clinical landscape for several cancers, and ICI use continues to expand across many cancer types. Low baseline clearance (CL) and/or a large reduction of CL during treatment correlates with better clinical response and longer survival. Similar phenomena have also been reported with other monoclonal antibodies (mAb) in cancer and other diseases, highlighting a characteristic of mAb clinical pharmacology that is potentially shared among various mAbs and diseases. Though tempting to attribute poor outcomes to low drug exposure and arguably low target engagement due to high CL, such speculation is not supported by the relatively flat exposure-response relationship of most ICIs, where a higher dose or exposure is not likely to provide additional benefit. Instead, an elevated and/or increasing CL could be a surrogate marker of the inherent resistant phenotype that cannot be reversed by maximizing drug exposure. The mechanisms connecting ICI clearance, therapeutic efficacy, and resistance are unclear and likely to be multifactorial. Therefore, to explore the potential of ICI CL as an early marker for efficacy, this review highlights the similarities and differences of CL characteristics and CL-response relationships for all FDA-approved ICIs, and we compare and contrast these to selected non-ICI mAbs. We also discuss underlying mechanisms that potentially link mAb CL with efficacy and highlight existing knowledge gaps and future directions where more clinical and preclinical investigations are warranted to clearly understand the value of baseline and/or time-varying CL in predicting response to ICI-based therapeutics.

Time-dependent clearance can confound exposure-response analysis of therapeutic antibodies: A comprehensive review of the current literature

Exposure-response (ER) analysis is used to optimize dose and dose regimens during clinical development. Characterization of relationships between drug exposure and efficacy or safety outcomes can be utilized to make dose adjustments that improve patient response. Therapeutic antibodies typically show predictable pharmacokinetics (PK) but can exhibit clearance that decreases over time due to treatment. Moreover, time-dependent changes in clearance are frequently associated with drug response, with larger decreases in clearance and increased exposure seen in patients who respond to treatment. This often confounds traditional ER analysis, as drug response influences exposure rather than the reverse. In this review, we survey published population PK analyses for reported time-dependent drug clearance effects across 158 therapeutic antibodies approved or in regulatory review. We describe the mechanisms by which time-dependent clearance can arise, and evaluate trends in frequency, magnitude, and time scale of changes in clearance with respect to indication, mechanistic interpretation of time-dependence, and PK modeling techniques employed. We discuss the modeling and simulation strategies commonly used to characterize time-dependent clearance, and examples where time-dependent clearance has impeded ER analysis. A case study using population model simulation was explored to interrogate the impact of time-dependent clearance on ER analysis and how it can lead to spurious conclusions. Overall, time-dependent clearance arises frequently among therapeutic antibodies and has spurred erroneous conclusions in ER analysis. Appropriate PK modeling techniques aid in identifying and characterizing temporal shifts in exposure that may impede accurate ER assessment and successful dose optimization.

The landscape of immune therapy in vulnerable patients with advanced non-small cell lung cancer: a narrative review

BACKGROUND AND OBJECTIVE

The clinical development of immune checkpoint inhibitors (ICIs) has led to substantial advances in the treatment of lung cancer. In particular, the contribution of ICIs to the long-term survival of certain patients with non-small cell lung cancer (NSCLC) has been reported. With the accumulated experience in the use of ICIs, numerous studies have documented the efficacy and safety of ICIs in patients with diverse backgrounds, including those with problematic indications for drug therapy. In the current review, we summarize the most recent literature-based findings on ICI administration in vulnerable patients with NSCLC and provide an overview of the current status and prospects of ICIs.

METHODS

Herein, we defined vulnerable as the group of patients with NSCLC and performance status (PS) ≥2 (poor PS), advanced age (≥75 years), or cancer cachexia. We conducted a narrative review of the literature on the efficacy and safety of ICIs in vulnerable patients with advanced NSCLC.

KEY CONTENT AND FINDINGS

Among the vulnerable patient group, poor PS was a strong, poor prognostic factor, even in patients undergoing ICI therapy. ICI therapy in older patients can be effective, although adverse events (AEs) should be carefully monitored. The efficacy of ICI therapy in patients with cancer cachexia is poor, with further therapeutic development warranted.

CONCLUSIONS

Although prior studies have evaluated lung cancer pharmacotherapy in various vulnerable populations, clinical studies on the application of ICIs in patients with vulnerable NSCLC are lacking in both number and quality. Further development of these therapeutic agents, with the emergence of additional evidence regarding their appropriate use in this population, is expected.

Prognostic Factors in Advanced Non-Small Cell Lung Cancer Patients Treated with Immunotherapy

Taking into account the huge epidemiologic impact of lung cancer (in 2020, lung cancer accounted for 2,206,771 of the cases and for 1,796,144 of the cancer-related deaths, representing the second most common cancer in female patients, the most common cancer in male patients, and the second most common cancer in male and female patients) and the current lack of recommendations in terms of prognostic factors for patients selection and management, this article aims to provide an overview of the current landscape in terms of currently available immunotherapy treatments and the most promising assessed prognostic biomarkers, highlighting the current state-of-the-art and hinting at future challenges.

Real world prognostic utility of platelet lymphocyte ratio and nutritional status in first-line immunotherapy response in stage IV non-small cell lung cancer

BACKGROUND

Elevated platelet lymphocyte ratio (PLR) and low body mass index (BMI) are associated with inferior survival in non-small cell lung cancer (NSCLC) patients receiving immunotherapy (IO). We evaluated real-world prognostic utility of PLR, BMI, and albumin level in stage IV NSCLC patients receiving first line (1L) IO.

METHODS

We identified 75 stage IV patients who received 1L IO therapy at USC Norris Comprehensive Cancer Center and Los Angeles General Medical Center from 2015 to 2022. The primary outcome was overall survival (OS) from time of IO with attention to pre-treatment BMI < 22, albumin < 3.5 g/dL, and PLR > 180.

RESULTS

Median age was 66.5 years with 49 (65.3%) males. 25 (33.3%) had BMI < 22. 45/75 (60%) had PLR > 180. Patients with BMI < 22 had inferior OS (13.1 months (m) vs. 37.4 m in BMI > 28, p-value = 0.042) along with patients with albumin<3.5 g/dL (OS: 2.8 m vs. 14.6 m, p-value = 0.0027), and patients with PLR>180 (OS: 8.7 m vs. 23.0 m, p = 0.028). Composite BMI < 22, PLR > 180 had the worst OS, p-value = 0.0331. Multivariate analysis controlling for age, smoking, gender, PD-L1 tumor proportion score (TPS), and histology (adenocarcinoma, squamous, adenosquamous, and large cell) showed that BMI (HR: 0.8726, 95% CI: 0.7892-0.954) and PLR > 180 (HR: 2.48, 95% CI: 1.076-6.055) were significant in OS mortality risk.

CONCLUSION

Patients with a composite of BMI < 22, albumin < 3.5 g/dL, and PLR > 180 had significantly worse OS. This highlights the importance of screening for poor nutritional status and high PLR to better inform stage IV NSCLC patients receiving IO therapy of their prognosis and supportive care.

MICROABSTRACT

We evaluated real-world prognostic utility of platelet lymphocyte ratio (PLR), body mass index (BMI), and albumin level in 75 Stage IV NSCLC patients receiving first line IO. Patients with a composite of BMI < 22, albumin < 3.5 g/dL, and PLR > 180 had significantly worse OS. This highlights the importance of screening for poor nutritional status and high PLR to better inform stage IV NSCLC patients of their prognosis and to emphasize supportive care needs.

Immunodiagnosis - the promise of personalized immunotherapy

Immunotherapy showed remarkable efficacy in several cancer types. However, the majority of patients do not benefit from immunotherapy. Evaluating tumor heterogeneity and immune status before treatment is key to identifying patients that are more likely to respond to immunotherapy. Demographic characteristics (such as sex, age, and race), immune status, and specific biomarkers all contribute to response to immunotherapy. A comprehensive immunodiagnostic model integrating all these three dimensions by artificial intelligence would provide valuable information for predicting treatment response. Here, we coined the term "immunodiagnosis" to describe the blueprint of the immunodiagnostic model. We illustrated the features that should be included in immunodiagnostic model and the strategy of constructing the immunodiagnostic model. Lastly, we discussed the incorporation of this immunodiagnosis model in clinical practice in hopes of improving the prognosis of tumor immunotherapy.

Exosomal IL-8 derived from Lung Cancer and Colon Cancer cells induced adipocyte atrophy via NF-κB signaling pathway

BACKGROUND

Cytokines secreted in the tumor microenvironment function in cancer cachexia (CC), a common clinicopathological syndrome associated with adipocyte wasting and skeletal muscle atrophy. Extracellular vesicles (EVs) secreted by cancer cells actively engage in inter-tissue communication; EVs and enclosed cytokines are largely undefined in CC adipocytes wasting.

METHODS

EVs derived from Lewis lung carcinoma (LLC) and colorectal cancer C26 cells were extracted and characterized. Conditioned medium and EVs from cancer cells were applied to 3 T3-L1 adipocytes. Recombinant IL-8, IL-8 neutralizing antibody, CXCR2 and NF-κB inhibitor were examined in functional assays. Lipolysis of adipocytes was monitored by Western blots, Oil red O staining and glycerol assays. Furthermore, LLC and C26 cell lines were established as cachexia model to explore the relevance of IL-8 and NF-κB signaling in CC adipose wasting. Adipose tissues were collected for histology analyses.

RESULTS

LLC and C26 cell-derived EVs induced lipolysis of 3 T3-L1 adipocytes. Specially, Dil-labeled EVs were effectively taken up by 3 T3-L1 adipocytes, which were motivated by the delivered IL-8 to elicit the NF-κB pathway. In comparison, special IL-8 neutralizing antibody relieved that lipolysis of 3 T3-L1 adipocytes induced by EVs together with conditioned medium of LLC and C26 cells, respectively. Consistently, both CXCR2 and NF-κB inhibitors would lessen the phenotype of lipolysis in 3 T3-L1 adipocytes. In the in vivo settings, both LLC and C26-tumor bearing mice had higher serum IL-8 levels as compared to the control groups. Two typical lipolysis markers, PGC1α and UCP1, were also up-regulated in the adipose tissues of LLC and C26-tumor mice groups, respectively.

CONCLUSIONS

EVs secreted by LLC and C26 tumor cells would induce adipocyte wasting via extracellular IL-8-mediated NF-κB signaling. Our study pointed out the physiological and therapeutic values of exosomal IL-8 in CC lipolysis.

Malnutrition and Erythropoietin Resistance among Patients with End-Stage Kidney Disease: Where Is the Perpetrator of Disaster?

BACKGROUND

Hemodialyzed patients with poor erythropoietin response tend to have low volume of visceral adipose tissue and score high on malnutrition-inflammation score. This study investigates in-depth the role of leptin and chosen cytokines in the development of malnutrition-inflammation syndrome (MIS) and erythropoietin resistance.

METHODS

Eighty-one hemodialyzed patients with erythropoietin-treated anemia were enrolled in the study. Their body composition was measured. Erythropoietin resistance index was calculated. Blood samples for leptin, IL-6, IL-18, TNF-alpha, and IL-1-alpha serum levels were drawn.

RESULTS

Leptin showed negative correlation with erythropoietin resistance index (ERI), whilst IL-6 showed the opposite. IL-6 seemed to be linked more to HD parameters and vintage, while TNF-alpha and leptin were more dependent on body composition. IL-18 and IL-1-alpha did not affect nutritional parameters nor ERI.

CONCLUSION

Modulation of adipokine- and cytokine-related signaling is a promising target in tempering malnutrition in hemodialyzed, and thus achieving better outcomes in anemia treatment. Large clinical studies that target the inflammatory response in hemodialysis, especially regarding IL-6, TNF-alpha, and leptin, would be of great worth.

Cancer Cachexia among Patients with Advanced Non-Small-Cell Lung Cancer on Immunotherapy: An Observational Study with Exploratory Gut Microbiota Analysis

Cancer cachexia exerts a negative clinical influence on patients with advanced non-small-cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICI). The prognostic impact of body weight change during ICI treatment remains unknown. The gut microbiota (GM) is a key contributor to the response to ICI therapy in cancer patients. However, the association between cancer cachexia and GM and their association with the response to ICIs remains unexplored. This study examined the association of cancer cachexia with GM composition and assessed the impact of GM on clinical outcomes in patients with NSCLC treated with ICIs. In this observational, prospective study, which included 113 Japanese patients with advanced NSCLC treated with ICIs, the prevalence of cachexia was 50.4% (57/113). The median progression-free survival (PFS) and overall survival (OS) were significantly shorter in the cachexia group than in the non-cachexia group (4.3 vs. 11.6 months (p = 0.003) and 12.0 months vs. not reached (p = 0.02), respectively). A multivariable analysis revealed that baseline cachexia was independently associated with a shorter PFS. Moreover, a gain in body weight from the baseline (reversible cachexia) was associated with a significantly longer PFS and OS compared to irreversible cachexia. Microbiome profiling with 16S rRNA analysis revealed that the cachexia group presented an overrepresentation of the commensal bacteria, Escherichia-Shigella and Hungatella, while the non-cachexia group had a preponderance of Anaerostipes, Blautia, and Eubacterium ventriosum. Anaerostipes and E. ventriosum were associated with longer PFS and OS. Moreover, a cachexia status correlated with the systemic inflammatory marker-derived-neutrophil-to-lymphocytes ratio (dNLR) and Lung Immune Prognostic Index (LIPI) indexes. Our study demonstrates that cachexia and longitudinal bodyweight change have a prognostic impact on patients with advanced NSCLC treated with ICI therapy. Moreover, our study demonstrates that bacteria associated with ICI resistance are also linked to cachexia. Targeted microbiota interventions may represent a new type of treatment to overcome cachexia in patients with NSCLC.

Inflammation as a Therapeutic Target in Cancer Cachexia

Cachexia is a common complication of cancer and is associated with poor quality of life and a decrease in survival. Many patients with cancer cachexia suffer from inflammation associated with elevated cytokines, such as interleukin-1beta (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor (TNF). Single-agent trials to treat cancer cachexia have not led to substantial benefit as the type of cytokine which is elevated has rarely been specified and targeted. Cachexia may also be multifactorial, involving inflammation, anorexia, catabolism, depression, and pain, and targeting the multiple causes will likely be necessary to achieve improvement in weight and appetite. A PUBMED search revealed over 3000 articles on cancer cachexia in the past ten years. We attempted to review any studies related to inflammation and cancer cachexia identified by Google Scholar and PUBMED and further search for articles listed in their references. The National Comprehensive Cancer Network (NCCN) guidelines do not provide any suggestion for managing cancer cachexia except a dietary consult. A more targeted approach to developing therapies for cancer cachexia might lead to more personalized and effective therapy.

Early change in the clearance of pembrolizumab reflects the survival and therapeutic response: A population pharmacokinetic analysis in real-world non-small cell lung cancer patients

OBJECTIVES

The dosing pattern of pembrolizumab is based on population pharmacokinetic (Pop-PK) analysis of clinical trials. Data for Japanese patients or patient populations with poor conditions such as cachexia are scarce. In this study, we performed a Pop-PK analysis of Japanese non-small cell lung cancer patients and analyzed the relationship between exposure, treatment effect, and survival.

MATERIALS AND METHODS

A total of 270 blood samples from 76 patients who received 200 mg pembrolizumab every 3 weeks between March 2017 and December 2018 were included. Blood concentrations of pembrolizumab were measured using mass spectrometry, and Pop-PK analysis was conducted using the Phoenix NLME software with a one-compartment model.

RESULTS

The estimated median of clearance (CL) in this analysis population was 0.104 L/day, about half of the historical data for Western data. Overall, pembrolizumab CL decreased over time, with some populations showing increased CL early in the treatment and others showing decreased CL over time. When the time-varying CL was stratified by quartile, the group with decreasing CL showed significantly better treatment response and survival than the group with increasing CL, even though the group included more patients with cachexia. Detailed analysis suggested that the patient population that responded to pembrolizumab treatment had an improved general condition and reduced protein catabolism, further decreasing CL.

CONCLUSION

In populations that benefit from pembrolizumab treatment, CL may be reduced early in their treatment, which may be a predictive and prognostic factor. However, further prospective validation of our findings is needed.

Risk factors and predictors of immune-related adverse events: implications for patients with non-small cell lung cancer

INTRODUCTION

Immune checkpoint inhibitors (ICI) are now utilized as a standard of care treatment for multiple cancers, including in both the metastatic setting as well as in earlier stages of disease. The identification of unique immune-related adverse events (irAE) that occur during ICI treatment has led to intense research to identify potential risk factors and biomarkers that may assist in clinical decision making. Although initial studies in ICI were primarily in advanced stage disease, the use of ICI in earlier stages of disease as adjuvant therapies requires a better understanding of patient risk stratification to mitigate or prevent serious irAE.

AREAS COVERED

In this review, we set out to describe the current state of research regarding potential risk factors for irAE in patients with non-small cell lung cancer, as well as explore the barriers to understanding irAE. We review data from irAE that occur in large phase 3 trials and prospective studies focusing on irAE, as well as the many retrospective studies that currently form the bulk of our understanding of irAE.

Cytokines and Chemokines in Cancer Cachexia and Its Long-Term Impact on COVID-19

Cancer cachexia remains a serious public health concern worldwide, particularly as cancer rates rise. Treatment is endangered, and survival is reduced, because this illness is commonly misdiagnosed and undertreated. Although weight loss is the most evident sign of cachexia, there are other early metabolic and inflammatory changes that occur before the most obvious symptoms appear. Cachexia-related inflammation is induced by a combination of factors, one of which is the release of inflammation-promoting chemicals by the tumor. Today, more scientists are beginning to believe that the development of SARS-CoV-2 (COVID-19) related cachexia is similar to cancer-related cachexia. It is worth noting that patients infected with COVID-19 have a significant inflammatory response and can develop cachexia. These correlations provide feasible reasons for the variance in the occurrence and severity of cachexia in human malignancies, therefore, specific therapeutic options for these individuals must be addressed based on disease types. In this review, we highlighted the role of key chemokines, cytokines, and clinical management in relation to cancer cachexia and its long-term impact on COVID-19 patients.