Prediction of 90 Day and Overall Survival after Chemoradiotherapy for Lung Cancer: Role of Performance Status and Body Composition

Prevalence and prognostic value of global leadership initiative on malnutrition (GLIM) phenotypic cachexia criteria in cancer patients: A systematic review and meta-analysis

INTRODUCTION

The Global Leadership Initiative on Malnutrition (GLIM) criteria provide a framework for evaluating cachexia in cancer patients, yet variability in diagnostic application hinders its use. The aim of the present study was to examine the prevalence and prognostic value of GLIM phenotypic criteria in patients with cachexia cancer.

METHODS

This review adhered to a pre-defined protocol. A comprehensive search of PubMed and EMBASE databases was conducted using specific keywords up to June 12, 2024. Titles and abstracts were screened for relevance, and eligible full-text studies focused on the phenotypic criteria of the GLIM framework and their impact on overall survival OS in adult cancer patients. Studies with fewer than 100 patients or lacking OS data were excluded.

RESULTS

Of 477 studies identified 82 met the inclusion criteria (114,458 patients). Lung cancer was the most studied tumour type, followed by gastrointestinal and head and neck cancers. Within the GLIM framework, the prevalence of weight loss (WL) > 5 %, BMI <18.5, BMI <20.0, and lower muscle mass (LMM) were 34.21 %, 10.02 %, 9.51 %, and 41.89 %, respectively. Of the 82 studies, WL, BMI, and LMM were reported in 62 (75.6 %), 57 (69.5 %), and 16 (19.5 %) studies respectively and meta-analysis showed significant associations between phenotypic criteria and OS, with hazard ratios (HR) of 1.56 (1.24; 1.95), 1.18 (1.08; 1.28), and 2.03 (1.32; 3.12) respectively.

CONCLUSION

The present systematic review and meta-analysis highlights the prevalence and prognostic value of GLIM phenotypic criteria in patients with advanced cancer. The limitations of BMI as a phenotypic criterion is clear. Future studies should prioritize and standardise WL measurement and muscle mass assessment within the GLIM framework.

Relationship between quality of life before treatment and survival in patients with hematological malignancies: A meta-analysis

This meta-analysis aimed to investigate the impact of pretreatment quality of life (QoL) on overall survival (OS) in patients with hematological malignancies. The observational studies with relationship between QoL and OS in patients undergoing either hematopoietic stem cell transplantation (HSCT) or chemotherapy were collected. Stratification by treatment was performed to examine the association between QoL and OS. Six articles were included in the analysis. Overall, significant associations with OS were observed for global QoL (hazard ratio [HR] = 1.04, 95% confidence interval [CI] = 1.01-1.08), physical QoL (HR = 1.06, 95% CI:1.02-1.10), and social QoL (HR = 1.02, 95% CI: 1.00-1.03). When stratified by treatment, HSCT showed significant associations between OS and both global QoL (HR = 1.05, 95% CI:1.00-1.11) and physical QoL (HR = 1.03, 95% CI:1.00-1.06). For chemotherapy, significant associations were also observed between OS and global QoL (HR = 1.04, 95% CI:1.00-1.09), physical QoL (HR = 1.08, 95% CI:1.00-1.17), role QoL (HR = 1.02, 95% CI:1.00-1.04), and social QoL (HR = 1.02, 95% CI:1.00-1.04). No significant associations were observed regarding emotional QoL, which was only analyzed in HSCT. The factors influencing OS may vary depending on the treatment, emphasizing the importance of recognizing QoL from the pretreatment stage.

Evaluation of nutritional parameters that may be associated with survival in patients with locally advanced non-small cell lung carcinoma receiving definitive concurrent chemoradiotherapy: retrospective study conducted in a tertiary pulmonary hospital

Sarcopenia, defined as skeletal muscle loss, is thought to be a hallmark of cancer cachexia. It has an impact on mortality, especially in cancer patients. There are also opposing views regarding the relationship between definitive concurrent chemoradiotherapy (CRT) and sarcopenia in locally advanced lung cancer. Our aim was to investigate the prognostic effect of sarcopenia in our patients with locally advanced stage III non-small cell lung cancer (NSCLC) who received definitive concurrent CRT by using many markers, and to determine the overall survival (OS). The study was designed as a retrospective cohort. 54 patients with stage III NSCLC who received definitive concurrent CRT at the Radiation Oncology Unit of Health Sciences University Izmir Dr Suat Seren Chest Diseases and Surgery Training Hospital, between January 1, 2018 and December 31, 2019, were included in the study.92% of our patients were sarcopenic with international L3-skeletal muscle index (SMI) and Psoas muscle index (PMI) threshold values. The mean OS time was 32.4 months, and the 4-year survival rate was 38.9%. While the new threshold values specific to our patient group were 26.21 for SMI and 2.94 for PMI, SMI and PMI did not indicate OS with these values. Even with the new values, most proposed criteria for sarcopenia did not indicate OS. However, low BMI (≤21.30), low serum albumin (≤4.24 mg/dl) and low visceral fat tissue area (≤37) in univariate analysis, and low visceral fat tissue area (≤37) in multivariate analysis indicated OS. OS was poor in patients with low fat tissue area. In patients with stage III NSCLC who received definitive concurrent CRT, low visceral fat tissue area (≤37) indicated OS, rather than SMI, PMI and other sarcopenia indices.

Ninety-day mortality following curative intent radiotherapy for stage I-III lung cancer in the Netherlands

BACKGROUND AND PURPOSE

The 90-day mortality following lung cancer treatment is a common performance indicator. The aim of this study was to investigate 90-day mortality following (chemo)radiotherapy for stage I-III lung cancer to evaluate the applicability of this outcome indicator in this patient population.

MATERIALS AND METHODS

The Netherlands National Cancer Registry was queried for this retrospective population-based study. Early mortality rates from the start and end of radiotherapy are reported with 95% confidence intervals (CI). The association between clinical characteristics and 90-day mortality was evaluated with multivariable logistic regression analysis.

RESULTS

18,355 Patients treated between 2015 and 2020 were included. The 90-day mortality was 2.56% in stages I-II and 4.60% in stage III, was significantly higher in males, elderly patients and patients with a poor performance status and independent of facility volume. In stage I-II, 90-day mortality was lower after stereotactic versus conventional radiotherapy (2.0% versus 5.25%, OR 0.5 (95%CI 0.4-0.7)). In stage III, mortality decreased from 5.26% in 2015-2016 to 3.73% in 2019-2020 (OR 0.7 (95% CI 0.5-0.9)) and was lower after concurrent versus sequential chemoradiotherapy (3.4% versus 5.9%, OR 1.5 (95%CI 1.2-1.9)). Early mortality increased to 3.20% in stages I-II and 6.70% in stage III when calculated from the end of radiotherapy.

CONCLUSION

Short-term mortality rates following curative intent radiotherapy for lung cancer in the Netherlands are low and independent of facility volume. It was demonstrated that 90-day mortality is an arguable indicator to monitor radiotherapy quality and that standardization of definitions and relevant case-mix factors is warranted.

Thoracic Sarcopenia was a Poor Prognostic Predictor in Patients Receiving Immunotherapy for Advanced Non-small-cell Lung Cancer

RATIONALE AND OBJECTIVES

Sarcopenia, as measured at the level of the third lumbar (L3) has been shown to predict the survival of cancer patients. However, many patients with advanced non-small cell lung cancer (NSCLC) do not undergo routine abdominal imaging. The objective of this study was to investigate the association of thoracic sarcopenia with survival outcomes among patients who underwent immunotherapy for NSCLC.

MATERIALS AND METHODS

In this retrospective study, patients who initiated immunotherapy for advanced NSCLC from 2019 to 2022 were enrolled. and detailed patient data were collected. Cross sectional skeletal muscle area was calculated at the fifth thoracic vertebra (T5) on pretreatment chest computed tomography (CT) scan. Gender-specific lowest quartile values was used to define sarcopenia. The risk factors were analyzed using Cox analyses. The log-rank test and the random survival forest (RSF) were used to compare progression free survival (PFS). The model's performance was assessed using calibration curve and the receiver operating characteristic curve (ROC).

RESULTS

A total of 242 patients was included (discovery cohort n = 194, validation cohort n = 48). In the discovery cohort, patients with sarcopenia exhibited significantly poorer PFS (p < 0.001) than patients without sarcopenia. Univariate cox regression revealed that sarcopenia, lung cancer stage, body mass index, smoking status, and neutrophil-to-lymphocyte ratio were predictors of poor PFS. A RSF model was constructed based on the aforementioned parameters, to evaluate the model's efficacy, the ROC curve was utilized. with an area under the curve for predicting 6-month PFS of 0.68 and for 12-month PFS of 0.69. The prediction models for survival outcomes built by the discovery cohort showed similar performance in the validation cohort.

CONCLUSION

Sarcopenia at T5 is independent prognostic factors in patients who received immunotherapy for advanced NSCLC.

Early Mortality After Curative-intent Radiotherapy in Patients With Locally Advanced Non-small Cell Lung Cancer-A Population-based Cohort Study

AIMS

In patients with locally advanced non-small cell lung cancer (LA-NSCLC), curative-intent radiotherapy (RT) or chemoradiotherapy (CRT) is associated with considerable toxicity, and approximately half of the patients die within two years. A better understanding of early mortality is needed to improve patient selection and guide supportive interventions. In this population-based, nationwide cohort study, we investigated the incidence, temporal distribution, and risk factors of early mortality.

MATERIALS AND METHODS

Patients with stage II-III NSCLC treated with curative-intent RT/CRT in Denmark from 2010-2017 were included. Patients treated with preoperative or postoperative RT/CRT or stereotactic body radiation therapy were excluded. Early mortality was defined as all-cause death within 180 days from RT/CRT initiation. Multiple logistic regression was used to assess the impact of clinical and demographic variables.

RESULTS

We included 1742 patients. The early mortality rate was 10%. The temporal distribution of deaths was uniform across the first year following RT/CRT, indicating the absence of a high-risk period. In multivariable analysis, increasing age and performance status, male sex, and unspecified histology (NSCLC not otherwise specified) were associated with an increased risk. By contrast, the Charlson Comorbidity Index (CCI), TNM stage, and treatment period did not significantly alter the risk of early mortality. Overall survival rates improved throughout the inclusion period but early mortality rates did not.

CONCLUSION

No high-risk period for early mortality could be identified. Early mortality was not associated with CCI and other tools should be explored to quantify comorbidity for risk stratification in this setting.

Prognosis and risk factor assessment of patients with advanced lung cancer with low socioeconomic status: model development and validation

BACKGROUND

Lung cancer, a major global health concern, disproportionately impacts low socioeconomic status (SES) patients, who face suboptimal care and reduced survival. This study aimed to evaluate the prognostic performance of traditional Cox proportional hazards (CoxPH) regression and machine learning models, specifically Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost), in patients with advanced lung cancer with low SES.

DESIGN

A retrospective study.

METHOD

The 949 patients with advanced lung cancer with low SES who entered the hospice ward of a tertiary hospital in Wuhan, China, from January 2012 to December 2021 were randomized into training and testing groups in a 3:1 ratio. CoxPH regression methods and four machine learning algorithms (DT, RF, SVM, and XGBoost) were used to construct prognostic risk prediction models.

RESULTS

The CoxPH regression-based nomogram demonstrated reliable predictive accuracy for survival at 60, 90, and 120 days. Among the machine learning models, XGBoost showed the best performance, whereas RF had the lowest accuracy at 60 days, DT at 90 days, and SVM at 120 days. Key predictors across all models included Karnofsky Performance Status (KPS) score, quality of life (QOL) score, and cough symptoms.

CONCLUSIONS

CoxPH, DT, RF, SVM, and XGBoost models are effective in predicting mortality risk over 60-120 days in patients with advanced lung cancer with low SES. Monitoring KPS, QOL, and cough symptoms is crucial for identifying high-risk patients who may require intensified care. Clinicians should select models tailored to individual patient needs and preferences due to varying prediction accuracies.

REPORTING METHOD

This study was reported in strict compliance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Durvalumab Consolidation After Chemoradiotherapy in Elderly Patients With Unresectable Stage III NSCLC: A Real-World Multicenter Study

BACKGROUND

The PACIFIC trial demonstrated survival benefit of durvalumab after concurrent chemoradiotherapy (CCRT) in unresectable stage III non-small-cell lung cancer. Data on the effectiveness and safety of durvalumab in elderly patients is lacking.

METHODS

This retrospective study was conducted between September 2017 and September 2022. Progression-free survival (PFS), overall survival (OS), recurrence patterns, first subsequent treatment after recurrence, factors associated with survival outcomes, and adverse events (AEs) were compared.

RESULTS

Of the 286 patients, 120 (42.0%) were ≥ 70 years and 166 (58.0%) were < 70 years. The median PFS (17.7 vs. 19.4 months; P = .43) and median OS (35.7 months vs. not reached; P = .13) were similar between 2 groups. Proportion of patients who completed durvalumab was lower in elderly patients (27.5% vs. 39.2%; P = .040). In elderly patients, ECOG PS 0 or 1 was associated with better PFS, and being male and having received a cisplatin-based regimen during CCRT were factors associated with better and worse OS, respectively. In patients aged < 70 years, a PD-L1 ≥ 50% was associated with improved PFS and OS. Elderly patients experienced more treatment-related AEs, grade 3/4 AEs, permanent discontinuation of durvalumab, and treatment-related deaths. Among the AEs leading to permanent discontinuation or death, pulmonary AE was significantly more common in elderly patients.

CONCLUSION

Durvalumab demonstrated similar outcomes in elderly compared to younger patients. However, AEs were more common in elderly patients. Thus, judicious selection of patients and chemotherapy regimens, coupled with careful AE monitoring, are important factors for ensuring optimal durvalumab treatment.

Impact of skeletal muscle mass on postoperative complications in oral cancer surgery

BACKGROUND

Sarcopenia is characterized by a progressive and generalized loss of skeletal muscle mass and strength. The aim of this retrospective study was to investigate the impact of skeletal muscle mass on adverse events in free-flap reconstruction for defects after oral cancer resection.

RESULTS

Of 120 patients, recipient-site adverse events occurred in 56 patients (46.7%), and recipient-site surgical site infections occurred in 45 patients (37.5%). Skeletal muscle index was significantly associated with recipient-site adverse events in univariate analysis (P < 0.05). Lower body mass index and skeletal muscle index were significantly associated with recipient-site surgical site infection in univariate analysis (P < 0.05). In the multiple logistic regression model, a lower skeletal muscle index was a significant risk factor for recipient-site adverse events and surgical site infections (adverse events odds ratio; 3.17/P = 0.04; surgical site infection odds ratio; 3.76/P = 0.02).

CONCLUSIONS

The SMI at level Th12 was an independent factor for postoperative AEs, especially SSI, in OSCC patients with free-flap reconstruction.

Early detection and assessment of intensive care unit-acquired weakness: a comprehensive review

Intensive care unit-acquired weakness (ICU-AW) is a serious complication in critically ill patients. Therefore, timely and accurate diagnosis and monitoring of ICU-AW are crucial for effectively preventing its associated morbidity and mortality. This article provides a comprehensive review of ICU-AW, focusing on the different methods used for its diagnosis and monitoring. Additionally, it highlights the role of bedside ultrasound in muscle assessment and early detection of ICU-AW. Furthermore, the article explores potential strategies for preventing ICU-AW. Healthcare providers who manage critically ill patients utilize diagnostic approaches such as physical exams, imaging, and assessment tools to identify ICU-AW. However, each method has its own limitations. The diagnosis of ICU-AW needs improvement due to the lack of a consensus on the appropriate approach for its detection. Nevertheless, bedside ultrasound has proven to be the most reliable and cost-effective tool for muscle assessment in the ICU. Combining the Sequential Organ Failure Assessment (SOFA) score, Acute Physiology and Chronic Health Evaluation (APACHE) II score assessment, and ultrasound can be a convenient approach for the early detection of ICU-AW. This approach can facilitate timely intervention and prevent catastrophic consequences. However, further studies are needed to strengthen the evidence.

Treatment of unresectable stage III NSCLC: Real world cohort study and literature review

INTRODUCTION

Until recently, the treatment for patients with locally advanced unresectable stage III non-small cell lung cancer (NSCLC) was combined chemoradiotherapy (CRT), delivered either concurrently (cCRT) or sequentially (sCRT). There is limited data on the outcomes and safety of CRT in a real-world setting. We conducted a real-world cohort analysis of our Leuven Lung Cancer Group (LLCG) experience with CRT for unresectable stage III NSCLC, prior to the era of consolidation treatment with immunotherapy.

PATIENTS AND METHODS

In this observational, real-world monocentric cohort study, a total of 163 consecutive patients were included. They were diagnosed with unresectable stage III primary NSCLC and treated with CRT between January 1st, 2011, and December 31st, 2018. Patient and tumor characteristics, treatment patterns, toxicity, and primary outcome parameters such as PFS, OS and pattern of relapse were captured.

RESULTS

CRT was concurrent in 108 patients, sequential in 55. Overall tolerability was good, with two thirds of patients without severe adverse events such as severe febrile neutropenia, ≥ grade 2 pneumonitis, or ≥ grade 3 esophagitis. All registered adverse events were more frequent in the cCRT group compared to the sCRT group. Median PFS was 13.2 months (95% CI 10.3-16.2), median OS was 23.3 months (95% CI 18.3-28.0), with a 47.5% survival rate at 2 years, and 29.4% at five years.

CONCLUSIONS

This study provides a clinically relevant benchmark on the outcomes and toxicity of concurrent and sequential chemoradiotherapy in unresectable stage III NSCLC in a real-world setting in the pre-PACIFIC era.

Sarcopenia in Lung Cancer: A Narrative Review

It has been over 10 years since the relationship between sarcopenia and lung cancer was first explored. Since then, sarcopenia research has progressed substantially, and the prognostic value of this condition is becoming increasingly apparent. Prior systematic reviews and meta-analyses have established sarcopenia to be negatively associated with disease-free and overall-survival, as well as a major risk factor for post-operative complications. The bulk of the literature has explored sarcopenia in the resectable setting, with less emphasis placed on studies evaluating this condition in advanced disease. In this up-to-date review, an examination of the literature exploring the association between sarcopenia and long-term outcomes in advanced lung cancer is provided. We further explore the association between adverse events of medical therapy and the role of sarcopenia as a predictor of tumor response. Finally, the interventions on sarcopenia and cancer cachexia are reviewed, with an emphasis placed on prospective studies.

The Effect of Sarcopenia and Metabolic PET-CT Parameters on Survival in Locally Advanced Non-Small Cell Lung Carcinoma

The treatment of stage III non-small cell lung cancer (NSCLC) is complex. Here, we aimed to examine the prognostic utility of sarcopenia and metabolic muscle volumes and evaluate their relationship with oncological treatments in patients with locally advanced NSCLC. Patients with unresectable stage III NSCLC were evaluated retrospectively. Muscle fields were measured, and metabolic parameters of the psoas were obtained. The skeletal muscle index (SMI), sarcopenia, sarcopenic obesity, and body mass index (BMI)-associated sarcopenia were evaluated. Fifty-three (94.6%) patients were men, and three (5.4%) were women. Sarcopenia was identified in 36 (64.3%) patients. Pretreatment sarcopenia and BMI-associated sarcopenia negatively affected overall survival (p = 0.040 and 0.023, respectively). A high psoas SUVmean (Standardized Uptake Value mean) and low mean psoas HU (Hounsfield unit) were poor prognostic factors (p = 0.009 and 0.014, respectively). SMI and muscle mass decreased after oncological treatment. Advanced age, inability to complete treatment, administration of chemoradiotherapy after chemotherapy, presence of sarcopenia, and a low mean psoas HU decreased survival. In conclusion, sarcopenia and BMI-associated sarcopenia are poor prognostic factors in patients with lung cancer. Oncological treatments can adversely affect muscle mass. The metabolic parameters of the psoas muscle can predict patient prognosis.

The Association between Muscle Quantity and Overall Survival Depends on Muscle Radiodensity: A Cohort Study in Non-Small-Cell Lung Cancer Patients

The prognostic value of CT-derived muscle quantity for overall survival (OS) in patients with non-small-cell lung cancer (NSCLC) is uncertain due to conflicting evidence. We hypothesize that increased muscle quantity is associated with better OS in patients with normal muscle radiodensity but not in patients with fatty degeneration of muscle tissue and low muscle radiodensity. We performed an observational cohort study in NSCLC patients treated with radiotherapy. A deep learning algorithm was used to measure muscle quantity as psoas muscle index (PMI) and psoas muscle radiodensity (PMD) on computed tomography. The potential interaction between PMI and PMD for OS was investigated using Cox proportional-hazards regression. Baseline adjustment variables were age, sex, histology, performance score and body mass index. We investigated non-linear effects of continuous variables and imputed missing values using multiple imputation. We included 2840 patients and observed 1975 deaths in 5903 patient years. The average age was 68.9 years (standard deviation 10.4, range 32 to 96) and 1692 patients (59.6%) were male. PMI was more positively associated with OS for higher values of PMD (hazard ratio for interaction 0.915; 95% confidence interval 0.861-0.972; p-value 0.004). We found evidence that high muscle quantity is associated with better OS when muscle radiodensity is higher, in a large cohort of NSCLC patients treated with radiotherapy. Future studies on the association between muscle status and OS should accommodate this interaction in their analysis for more accurate and more generalizable results.

Prognostic Value of the Geriatric Nutritional Risk Index in Patients with Non-Small Cell Lung Cancer: A Meta-Analysis

This study aimed to quantitatively identify the prognostic and clinicopathological value of the geriatric nutritional risk index (GNRI) in non-small cell lung cancer (NSCLC) through a meta-analysis. The electronic databases PubMed, Web of Science, Embase, and Cochrane Library were thoroughly searched from inception to December 14, 2021. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to evaluate the prognostic value of GNRI. Odds ratios (ORs) and 95%CIs were combined to estimate the clinicopathological significance of the GNRI in NSCLC. Seven studies with 2,023 patients were included in the meta-analysis. A low GNRI score was significantly associated with poor overall survival (OS) (HR = 2.01, 95%CI = 1.65-2.44, p < 0.001) and worse progression-free survival (PFS), recurrence-free survival (RFS), and cancer-specific survival (CSS) (HR = 1.81, 95%CI = 1.48-2.22, p < 0.001) in NSCLC. Furthermore, a low GNRI score was significantly associated with the histological type of non-adenocarcinoma (OR= 1.55, 95%CI = 1.19-2.03, p = 0.001) and Eastern Cooperative Oncology Group performance status (ECOG PS) ≥2 (OR= 2.81, 95%CI= 1.49-5.32, p = 0.001). A low GNRI score is a significant and effective prognostic marker for poor survival outcomes in patients with NSCLC. In addition, low GNRI score was correlated with higher ECOG PS scores.

Prognostic value of myosteatosis in patients with lung cancer: a systematic review and meta-analysis

The prognostic value of myosteatosis has been widely investigated in lung cancer, yet conclusions remain controversial. The purpose of this meta-analysis was to illuminate this issue. Medline, Embase, Cochrane Library and Web of Science Core Collection online databases were systematically searched from inception to 24 September 2021. Newcastle-Ottawa Scale tool was applied to evaluate the quality of included studies. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS) and progression-free survival (PFS) were used to examine prognostic value of myosteatosis. Subgroup analysis and sensitivity analysis were conducted to assess heterogeneity and stability of results. A total of 484 articles were screened from which 9 eligible studies involving 1667 patients were enrolled in this meta-analysis. Lung cancer patients with myosteatosis had significantly worse OS than patients without myosteatosis (HR 1.10, 95% CI 1.05-1.16, P < 0.001), both in six multivariate analysis (HR 1.46, 95% CI 1.16-1.85, P = 0.001) and in three univariate analysis (HR 1.08, 95% CI 1.03-1.14, P = 0.003). Pooled data from five studies using multivariate survival analysis also showed that patients with myosteatosis had a statistically significant unfavorable PFS (HR = 1.27, 95% CI 1.00-1.62, P = 0.049). Sensitivity analysis showed the result for OS was stable. But for PFS, the result was not robust. Myosteatosis might serve as an independent indicator of unfavorable survival outcomes for OS and PFS in lung cancer patients. Further studies are needed to confirm our results.

Landscape of mortality during and within thirty days after non-palliative radiotherapy across eleven major cancer types

BACKGROUND AND PURPOSE

Peri-RT mortality (death during or within 30 days of non-palliative radiotherapy) has been historically overlooked, and rates and risk factors are unclear.

MATERIALS AND METHODS

Patients with non-metastatic cancer, treated with non-palliative external beam radiation (RT) 2004-2016, were identified in the National Cancer Database for 11 cancer types: breast, prostate, non-prostate genitourinary, bone/soft tissue, gynecological, head/neck, lymphoma, gastrointestinal (GI), small cell lung, non-small cell lung, and central nervous system (CNS). Multivariable logistic regression was used to identify predictors of peri-RT mortality controlled for 17 covariates, including patient, tumor, and treatment factors.

RESULTS

Approximately 1.53 million patients were identified. Peri-RT mortality was 2.46% overall, spanning two orders of magnitude from 0.14% for breast to 8.52% for CNS. Peri-RT mortality steadily improved from 3.13% in 2004 to 1.78% in 2016 (P < .0001). Major predictors of peri-RT mortality included age, baseline comorbidity, male sex, and stage (P < .0001). Conversely, higher patient volume at the treating facility and use of more conformal RT planning techniques were moderately protective (P < .0001). Racial disparities varied based on disease site, as Black patients had increased peri-RT mortality for breast, lymphoma, and GI cancers, but not for other cancer types. Lack of private insurance was associated with substantially increased peri-RT mortality regardless of cancer type.

CONCLUSION

Peri-RT mortality varied considerably according to multiple factors. Sociodemographic differences highlight areas of health disparities and opportunities for quality improvement. Early recognition of patients at increased risk may facilitate implementation of closer monitoring or other preventive measures.

Sarcopenia is associated with poor prognosis after chemoradiotherapy in patients with stage III non-small-cell lung cancer: a retrospective analysis

We intended to investigate whether muscle and adipose masses were associated with prognosis among patients with stage III non-small-cell lung cancer (NSCLC) who were undergoing chemoradiotherapy (CCRT). We retrospectively explored data of patients with stage III NSCLC who underwent definitive CCRT (≥ 60 Gy) between January 2004 and March 2018 at our hospital. We examined the relationship of overall survival (OS) with body mass index (BMI), skeletal muscle index (SMI), psoas muscle index (PMI), visceral adipose tissue index (VAI), subcutaneous adipose tissue index (SAI), and visceral-to-subcutaneous adipose tissue area ratio (VSR) using log-rank tests for the univariate analysis and Cox proportional hazard models for the multivariate analysis. Overall, 16, 32, and 12 patients had stage IIIA, IIIB, and IIIC NSCLC, respectively. The total radiotherapy dose ranged from 60 Gy/30 fractions to 66 Gy/33 fractions. In the univariate analysis, the performance status (PS), BMI, and SMI were associated with OS, whereas the PMI, VAI, SAI, and VSR were not. In the multivariate analysis, the PS and SMI were associated with OS. The hazard ratios and 95% confidence intervals were 2.91 and 1.28–6.64 for PS, and 2.36 and 1.15–4.85 for SMI, respectively. The 1, 3, and 5-year OS rates were 92.1%, 59.6%, and 51.0% in patients with high SMI, and 63.6%, 53.8%, and 17.9% in patients with low SMI, respectively. The SMI correlated with prognosis in our study population, whereas adipose mass did not. Therefore, sarcopenia should be considered while predicting the OS in such patients.

Sarcopenia is related to poor prognosis in patients after trimodality therapy for locally advanced non-small cell lung cancer

BACKGROUND

The association between sarcopenia and prognosis in patients with locally advanced non-small cell lung cancer (NSCLC) undergoing trimodality therapy, consisting of preoperative concurrent chemoradiotherapy and surgery, has not been reported. Therefore, we aimed to investigate the association of sarcopenia and fat mass with prognosis after trimodality therapy.

METHODS

To assess sarcopenia, the psoas muscle mass was measured. Using computed tomography data, including third lumbar vertebra level images, psoas muscle mass and visceral and subcutaneous fat mass were measured. Additionally, body mass indices, and visceral/subcutaneous fat ratio, obtained by dividing the visceral fat index by the subcutaneous fat index, were calculated. We investigated the relationship between these parameters and overall survival.

RESULTS

Ninety-nine eligible patients were included. In the univariate analysis, age, clinical stage, tumor location, psoas muscle index, and visceral/subcutaneous fat ratio were significant prognostic factors for overall survival (P = 0.008, P = 0.04, P = 0.04, P = 0.02, and P = 0.02, respectively). In the multivariate analysis, age and psoas muscle index were significant prognostic factors for overall survival (P = 0.01 and P = 0.03, respectively). The 5-year overall survival rates for the high and low psoas muscle index groups were 79.6% [95% confidence interval (CI), 67.1-94.5%] and 66.2% (95% CI, 54.1-81.1%), respectively; whereas, the 10-year overall survival rates were 61.9% (95% CI, 42.0-91.4%) and 25.3% (95% CI, 8.6-74.2%), respectively.

CONCLUSION

Sarcopenia was related to poor overall survival in patients with locally advanced NSCLC undergoing trimodality therapy. Assessment of body composition prior to treatment may provide important information for formulating rational therapeutic strategies.

Systematic review and meta-analysis of lean mass and mortality: Rationale and study description

Objectives

Muscle mass is one of the key components in defining sarcopenia and is known to be important for locomotion and body homeostasis. Lean mass is commonly used as a surrogate of muscle mass and has been shown to be associated with increased mortality. However, the relationship of lean mass with mortality may be affected by different clinical conditions, modalities used, cut-off point to define low or normal lean mass, and even types of cancer among cancer patients. Thus, we aim to perform a comprehensive meta-analysis of lean mass with mortality by considering all these factors.

Methods

Systematic search was done in PubMed, Cochrane Library and Embase for articles related to lean mass and mortality. Lean mass measured by dual X-ray absorptiometry, bioelectrical impedance analysis, and computerized tomography were included.

Results

The number of relevant studies has increased continuously since 2002. A total of 188 studies with 98 468 people were included in the meta-analysis. The association of lean mass with mortality was most studied in cancer patients, followed by people with renal diseases, liver diseases, elderly, people with cardiovascular disease, lung diseases, and other diseases. The meta-analysis can be further conducted in subgroups based on measurement modalities, site of measurements, definition of low lean mass adopted, and types of cancer for studies conducted in cancer patients.

Conclusions

This series of meta-analysis provided insight and evidence on the relationship between lean mass and mortality in all directions, which may be useful for further study and guideline development.

Nutritional Support in Lung Cancer Patients: The State of the Art

Lung cancer (LC) represents the most commonly diagnosed neoplasm worldwide for both sexes and is the leading cause of cancer mortality. Malnutrition is a comorbidity frequently found in neoplastic patients, but it remains often underestimated and thus undertreated. In this review, we aimed to investigate the incidence of malnutrition among LC patients according to different screening and assessment tools, to evaluate the impact of weight loss and body composition on survival, and to analyze the efficacy of different nutritional interventions in this setting. Although malnutrition, weight loss, and body composition changes can affect survival and other clinical outcomes in LC patients, the role of nutritional interventions is not yet strongly proven, and further studies are recommended. Nevertheless, screening, assessing, and eventually treating malnutrition in LC patients are strongly recommended, according to the most recent nutritional intervention guidelines for oncology patients.

Meaningful measures in cancer cachexia: implications for practice and research

PURPOSE OF REVIEW

Cancer cachexia is a complex inflammatory syndrome, which presents with a variety of discrete symptoms and signs. This creates a challenge for both clinicians and researchers in recognizing and assessing the syndrome. This review explores the evidence for various measures used in the assessment of cachexia.

RECENT FINDINGS

Objectively, cachexia may be assessed using CT-derived measures of skeletal muscle [skeletal muscle index (SMI) and skeletal muscle density (SMD)]. Evidence suggests that SMD may be of equal or greater value than SMI in assessing cachexia. Inflammatory markers are also used, and include interleukin(IL)-1α; IL-1β; IL-6 and Interferon Gamma (IFNγ). Other robust measures include performance status and the modified Glasgow prognostic score (mGPS). These measures, however, are more commonly used in academia. By comparison, clinical assessment is limited to individual measures of patient function, such as hand grip strength (HGS), calf circumference, gait speed, and the 'timed up and go test' (TUG). These have each been linked with components of cachexia but are less well evidenced. Evidence also exists for patient-reported quality-of-life measures, based upon the EORTC- QLQ-C30 questionnaire, in assessing cachexia.

SUMMARY

Further assessment is required to compare clinical measures of cachexia and determine their utility.

Role that anorexia and weight loss play in patients with stage IV lung cancer

OBJECTIVE

To evaluate the prevalence of anorexia and weight loss at diagnosis (pre-treatment), to identify the factors associated with pre-treatment weight loss, and to determine the prognostic role of anorexia and weight loss in the overall survival of patients with stage IV lung cancer.

METHODS

This was a retrospective observational cohort study. The patients were stratified by the presence/absence of anorexia and of pre-treatment weight loss, which generated a measure composed of four categories, which were the independent variables.

RESULTS

Among the 552 patients included in the study, anorexia and pre-treatment weight loss were present in 39.1% and 70.1%, respectively. After adjusting for age, male gender, and Karnofsky performance status, we found that anorexia and tumor size were significantly associated with pre-treatment weight loss. In a Cox multivariate analysis, adjusted for age, male gender and low Karnofsky performance status were found to be independent predictors of worse survival, as was concomitance of anorexia and weight loss.

CONCLUSIONS

Anorexia and pre-treatment weight loss appear to be relevant problems in the follow-up of patients with advanced (stage IV) lung cancer Specific interventions are of crucial importance in individualized treatment plans, even within the context of palliative care.

Analysis of early respiratory-related mortality after radiation therapy of non-small-cell lung cancer: feasibility of automatic data extraction for dose-response studies

Purpose: To examine the feasibility of automatic data extraction from clinical radiation therapy (RT) databases at four hospitals to investigate the impact of mean lung dose (MLD) and age on the risk of early respiratory-related death and early overall death for patients treated with RT for non-small-cell lung cancer (NSCLC).Material and methods: We included adult patients with NSCLC receiving curatively intended RT between 2002 and 2017 at four hospitals. A script was developed to automatically extract RT-related data. The cause of death for patients deceased within 180 days of the start of RT was retrospectively assessed. Using logistic regression, the risks of respiratory-related death and of overall death within 90 and 180 days were investigated using MLD and age as variables.Results: Altogether, 1785 patients were included in the analysis of early overall mortality and 1655 of early respiratory-related mortality. The respiratory-related mortalities within 90 and 180 days were 0.9% (15/1655) and 3.6% (60/1655). The overall mortalities within 90 and 180 days were 2.5% (45/1785) and 10.6% (190/1785). Higher MLD and older age were associated with an increased risk of respiratory-related death within 180 days and overall death within 90 and 180 days (all p<.05). For example, the risk of respiratory-related death within 180 days and their 95% confidence interval for patients aged 65 and 75 years with MLDs of 20 Gy was according to our logistic model 3.8% (2.6-5.0%) and 7.7% (5.5-10%), respectively.Conclusions: Automatic data extraction was successfully used to pool data from four hospitals. MLD and age were associated with the risk of respiratory-related death within 180 days of the start of RT and with overall death within 90 and 180 days. A model quantifying the risk of respiratory-related death within 180 days was formulated.

Predictive factors for progression-free survival in non-small cell lung cancer patients receiving nivolumab based on performance status

BACKGROUND

Nivolumab has promising efficacy for the treatment of non-small cell lung cancer (NSCLC). Various predictive factors for nivolumab response in those with NSCLC have been reported, including performance status (PS). The objective of this retrospective study was to determine the predictive factors for nivolumab response in those with NSCLC with good PS and those with poor PS.

METHODS

We retrospectively collected pretreatment clinical data of 296 consecutive patients with NSCLC treated with nivolumab. We investigated the relationship between progression-free survival (PFS) and patient characteristics and analyzed predictive factors associated with good PS (PS 0-1) or poor PS (PS 2-4).

RESULTS

The median age of patients was 70 years; 206 patients were male, and 224 were classified as having good PS (PS 0-1). The median PFS was 3.0 months, 3.7 months, and 1.2 months for all patients, patients with good PS, and patients with poor PS respectively. Multivariate analysis showed that never smoking (hazard ratio [HR], 1.77; 95% confidence interval [CI], 1.15-2.75), high C-reactive protein (CRP) (HR, 1.39; 95% CI, 1.00-1.93), liver metastasis (HR, 1.95; 95% CI, 1.24-3.07), pleural effusion (HR, 1.45; 95% CI, 1.06-2.00), and steroid use (HR, 2.85; 95% CI, 1.65-4.94) were associated with significantly shorter PFS in patients with good PS. A high advanced lung cancer inflammation index (ALI) was significantly associated with longer PFS in patients with poor PS (HR, 0.24; 95% CI, 0.08-0.79).

CONCLUSIONS

In patients with NSCLC treated with nivolumab, the factors found to be predictive of shorter PFS in patients with good PS were never smoking, high CRP, liver metastasis, pleural effusion, and steroid administration, whereas high ALI was predictive of longer PFS in patients with poor PS.

Cancer cachexia in thoracic malignancy: a narrative review

PURPOSE OF REVIEW

Thoracic malignancies are amongst the most lethal of all cancers. Cancer cachexia lacks unanimously accepted diagnostic criteria, and therefore is referenced to as a conceptual framework whereby cancer cachexia is 'an ongoing loss of skeletal muscle mass (termed sarcopenia), with or without loss of fat mass that cannot be reversed by conventional nutritional support and leads to progressive functional impairment'. This review summarises the current evidence base in this field, including imaging techniques currently used to define sarcopenia, inflammatory and metabolic changes associated with the syndrome and ongoing research into potential treatment strategies.

RECENT FINDINGS

Sarcopenia is a key component of the cancer cachexia syndrome. It is common in patients with both early-stage and advanced NSCLC. Patients with sarcopenia have more treatment-related side effects and poorer overall survival compared with nonsarcopenic patients.

SUMMARY

Early identification of cancer cachexia may facilitate stratification of patients most-at-risk and initiation of emerging anticachexia treatments. If these are proven to be effective, this strategy has the potential to improve tolerance to anti-cancer therapies, improving the quality of life, and perhaps the survival, of patients with thoracic malignancies.

Reproducibility of semiautomated body composition segmentation of abdominal computed tomography: a multiobserver study

Background

Segmentation of computed tomography (CT) images provides quantitative data on body tissue composition, which may greatly impact the development and progression of diseases such as type 2 diabetes mellitus and cancer. We aimed to evaluate the inter- and intraobserver variation of semiautomated segmentation, to assess whether multiple observers may interchangeably perform this task.

Methods

Anonymised, unenhanced, single mid-abdominal CT images were acquired from 132 subjects from two previous studies. Semiautomated segmentation was performed using a proprietary software package. Abdominal muscle compartment (AMC), inter- and intramuscular adipose tissue (IMAT), visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were identified according to pre-established attenuation ranges. The segmentation was performed by four observers: an oncology resident with extensive training and three radiographers with a 2-week training programme. To assess interobserver variation, segmentation of each CT image was performed individually by two or more observers. To assess intraobserver variation, three of the observers did repeated segmentations of the images. The distribution of variation between subjects, observers and random noise was estimated by a mixed effects model. Inter- and intraobserver correlation was assessed by intraclass correlation coefficient (ICC).

Results

For all four tissue compartments, the observer variations were far lower than random noise by factors ranging from 1.6 to 3.6 and those between subjects by factors ranging from 7.3 to 186.1. All interobserver ICC was ≥ 0.938, and all intraobserver ICC was ≥ 0.996.

Conclusions

Body composition segmentation showed a very low level of operator dependability. Multiple observers may interchangeably perform this task with highly reproducible results.

Electronic supplementary material

The online version of this article (10.1186/s41747-019-0122-5) contains supplementary material, which is available to authorized users.

Body Mass Index (BMI), BMI Change, and Overall Survival in Patients With SCLC and NSCLC: A Pooled Analysis of the International Lung Cancer Consortium

INTRODUCTION

The relationships between morbid obesity, changes in body mass index (BMI) before cancer diagnosis, and lung cancer outcomes by histology (SCLC and NSCLC) have not been well studied.

METHODS

Individual level data analysis was performed on 25,430 patients with NSCLC and 2787 patients with SCLC from 16 studies of the International Lung Cancer Consortium evaluating the association between various BMI variables and lung cancer overall survival, reported as adjusted hazard ratios (aHRs) from Cox proportional hazards models and adjusted penalized smoothing spline plots.

RESULTS

Overall survival of NSCLC had putative U-shaped hazard ratio relationships with BMI based on spline plots: being underweight (BMI < 18.5 kg/m2; aHR = 1.56; 95% confidence interval [CI]:1.43-1.70) or morbidly overweight (BMI > 40 kg/m2; aHR = 1.09; 95% CI: 0.95-1.26) at the time of diagnosis was associated with worse stage-specific prognosis, whereas being overweight (25 kg/m2 ≤ BMI < 30 kg/m2; aHR = 0.89; 95% CI: 0.85-0.95) or obese (30 kg/m2 ≤ BMI ≤ 40 kg/m2; aHR = 0.86; 95% CI: 0.82-0.91) was associated with improved survival. Although not significant, a similar pattern was seen with SCLC. Compared with an increased or stable BMI from the period between young adulthood until date of diagnosis, a decreased BMI was associated with worse outcomes in NSCLC (aHR = 1.24; 95% CI: 1.2-1.3) and SCLC patients (aHR=1.26 (95% CI: 1.0-1.6). Decreased BMI was consistently associated with worse outcome, across clinicodemographic subsets.

CONCLUSIONS

Both being underweight or morbidly obese at time of diagnosis is associated with lower stage-specific survival in independent assessments of NSCLC and SCLC patients. In addition, a decrease in BMI at lung cancer diagnosis relative to early adulthood is a consistent marker of poor survival.

Nomogram-based parameters to predict overall survival in a real-world advanced cancer population undergoing palliative care

Background

Although palliative care has been accepted throughout the cancer trajectory, accurate survival prediction for advanced cancer patients is still a challenge. The aim of this study is to identify pre-palliative care predictors and develop a prognostic nomogram for overall survival (OS) in mixed advanced cancer patients.

Methods

A total of 378 consecutive advanced cancer patients were retrospectively recruited from July 2013 to October 2015 in one palliative care unit in China. Twenty-three clinical and laboratory characters were collected for analysis. Prognostic factors were identified to construct a nomogram in a training cohort (n = 247) and validated in a testing cohort (n = 131) from the setting.

Results

The median survival time was 48.0 (95% CI: 38.1–57.9) days for the training cohort and 52.0 (95% CI: 34.6–69.3) days for the validation cohort. Among pre-palliative care factors, sex, age, tumor stage, Karnofsky performance status, neutrophil count, hemoglobin, lactate dehydrogenase, albumin, uric acid, and cystatin-C were identified as independent prognostic factors for OS. Based on the 10 factors, an easily obtained nomogram predicting 90-day probability of mortality was developed. The predictive nomogram had good discrimination and calibration, with a high C-index of 0.76 (95% CI: 0.73–0.80) in the development set. The strong discriminative ability was externally conformed in the validation cohort with a C-index of 0.75.

Conclusions

A validated prognostic nomogram has been developed to quantify the risk of mortality for advanced cancer patients undergoing palliative care. This tool may be useful in optimizing therapeutic approaches and preparing for clinical courses individually.

Electronic supplementary material

The online version of this article (10.1186/s12904-019-0432-7) contains supplementary material, which is available to authorized users.

Textural analysis and lung function study: Predicting lung fitness for radiotherapy from a CT scan

OBJECTIVE

This study tested the hypothesis that shows advanced image analysis can differentiate fit and unfit patients for radical radiotherapy from standard radiotherapy planning imaging, when compared to formal lung function tests, FEV1 (forced expiratory volume in 1 s) and TLCO (transfer factor of carbon monoxide).

METHODS

An apical region of interest (ROI) of lung parenchyma was extracted from a standard radiotherapy planning CT scan. Software using a grey level co-occurrence matrix (GLCM) assigned an entropy score to each voxel, based on its similarity to the voxels around it.

RESULTS

Density and entropy scores were compared between a cohort of 29 fit patients (defined as FEV1 and TLCO above 50 % predicted value) and 32 unfit patients (FEV1 or TLCO below 50% predicted). Mean and median density and median entropy were significantly different between fit and unfit patients (p = 0.005, 0.0008 and 0.0418 respectively; two-sided Mann-Whitney test).

CONCLUSION

Density and entropy assessment can differentiate between fit and unfit patients for radical radiotherapy, using standard CT imaging.

ADVANCES IN KNOWLEDGE

This study shows that a novel assessment can generate further data from standard CT imaging. These data could be combined with existing studies to form a multiorgan patient fitness assessment from a single CT scan.

A window beneath the skin: how computed tomography assessment of body composition can assist in the identification of hidden wasting conditions in oncology that profoundly impact outcomes

Advancements in image-based technologies and body composition research over the past decade has led to increased understanding of the importance of muscle abnormalities, such as low muscle mass (sarcopenia), and more recently low muscle attenuation (MA), as important prognostic indicators of unfavourable outcomes in patients with cancer. Muscle abnormalities can be highly prevalent in patients with cancer (ranging between 10 and 90 %), depending on the cohort under investigation and diagnostic criteria used. Importantly, both low muscle mass and low MA have been associated with poorer tolerance to chemotherapy, increased risk of post-operative infectious and non-infectious complications, increased length of hospital stay and poorer survival in patients with cancer. Studies have shown that systemic antineoplastic treatment can exacerbate losses in muscle mass and MA, with reported loss of skeletal muscle between 3 and 5 % per 100 d, which are increased exponentially with progressive disease and proximity to death. At present, no effective medical intervention to improve muscle mass and MA exists. Most research to date has focused on treating muscle depletion as part of the cachexia syndrome using nutritional, exercise and pharmacological interventions; however, these single-agent therapies have not provided promising results. Rehabilitation care to modify body composition, either increasing muscle mass and/or MA should be conducted, and its respective impact on oncology outcomes explored. Although the optimal timing and treatment strategy for preventing or delaying the development of muscle abnormalities are yet to be determined, multimodal interventions initiated early in the disease trajectory appear to hold the most promise.

Development and Validation of a Nomogram for Assessing Survival in Patients With Metastatic Lung Cancer Referred for Radiotherapy for Bone Metastases

Importance

A survival prediction model for patients with bone metastases arising from lung cancer would be highly valuable.

Objective

To develop and validate a nomogram for assessing the survival probability of patients with metastatic lung cancer receiving radiotherapy for osseous metastases.

Design, Setting, Participants

In this prognostic study, the putative prognostic indicators for constructing the nomogram were identified using multivariable Cox regression analysis with backward elimination and model selection based on the Akaike information criterion. The nomogram was subjected to internal (bootstrap) and external validation; its calibration and discriminative ability were evaluated with calibration plots and the Uno C statistic, respectively. The training and validation set cohorts were from a tertiary medical center in northern Taiwan and a tertiary institution in southern Taiwan, respectively. The training set comprised 477 patients with metastatic lung cancer who received radiotherapy for osseous metastases between January 2000 and December 2013. The validation set comprised 235 similar patients treated between January 2011 and December 2017. Data analysis was conducted May 2018 to July 2018.

Main Outcomes and Measures

The nomogram end points were death within 3, 6, and 12 months.

Results

Of 477 patients in the training set, 292 patients (61.2%) were male, and the mean (SD) age was 62.86 (11.66) years. Of 235 patients in the validating set, 113 patients (48.1%) were male, and the mean (SD) age was 62.65 (11.49) years. In the training set, 186 (39%), 291 (61%), and 359 (75%) patients died within 3, 6, and 12 months, respectively, and the median overall survival was 4.21 (95% CI, 3.68-4.90) months. In the validating set, 84 (36%), 120 (51%), and 144 (61%) patients died within 3, 6, and 12 months, respectively, and the median overall survival was 5.20 (95% CI, 4.07-7.17) months. Body mass index (18.5 to <25 vs ≥25: hazard ratio [HR], 1.42; 95% CI, 1.14-1.78 and <18.5 vs ≥25: HR, 2.31; 95% CI, 1.56-3.44), histology (non-small cell vs small cell lung cancer: HR, 0.59; 95% CI, 0.41-0.86), epidermal growth factor receptor mutation (positive vs unknown: HR, 0.66; 95% CI, 0.46-0.93 and negative vs unknown: HR, 0.98; 95% CI, 0.66-1.45), smoking status (ever smoker vs never smoker: HR, 1.50; 95% CI, 1.24-1.83), age, and neutrophil to lymphocyte ratio were incorporated. The HRs of age and neutrophil to lymphocyte ratio were modeled nonlinearly with restricted cubic splines (both P < .001). The nomogram's discriminative ability was good in the training set (C statistic, ≥0.77; P < .001) and was validated using both an internal bootstrap method (C statistic, ≥0.76; P < .001) and an external validating set (C statistic, ≥0.75; P < .001). The calibration plots for the end points showed optimal agreement between the nomogram's assessment and actual observations.

Conclusions and Relevance

The nomogram (with web-based tool) can be useful for assessing the probability of survival at 3, 6, and 12 months in patients with metastatic lung cancer referred for radiotherapy to treat bone metastases, and it may guide radiation oncologists in treatment decision making and engaging patients in end-of-life discussions and/or hospice referrals at appropriate times.

The Obesity Paradox in Cancer: How Important Is Muscle?

Although higher body mass index (BMI) increases the incidence of many cancers, BMI can also exhibit a null or U-shaped relationship with survival among patients with existing disease; this association of higher BMI with improved survival is termed the obesity paradox. This review discusses possible explanations for the obesity paradox, the prevalence and consequences of low muscle mass in cancer patients, and future research directions. It is unlikely that methodological biases, such as reverse causality or confounding, fully explain the obesity paradox. Rather, up to a point, higher BMI may truly be associated with longer survival in cancer patients. This is due, in part, to the limitations of BMI, which scales weight to height without delineating adipose tissue distribution or distinguishing between adipose and muscle tissue. Thus, cancer patients with higher BMIs often have higher levels of protective muscle. We assert that more precise measures of body composition are required to clarify the relationship of body size to cancer outcomes, inform clinical decision-making, and help tailor lifestyle interventions.