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

The Impact of Model Assumptions on Personalized Lung Cancer Screening Recommendations

BACKGROUND

Recommendations regarding personalized lung cancer screening are being informed by natural-history modeling. Therefore, understanding how differences in model assumptions affect model-based personalized screening recommendations is essential.

DESIGN

Five Cancer Intervention and Surveillance Modeling Network (CISNET) models were evaluated. Lung cancer incidence, mortality, and stage distributions were compared across 4 theoretical scenarios to assess model assumptions regarding 1) sojourn times, 2) stage-specific sensitivities, and 3) screening-induced lung cancer mortality reductions. Analyses were stratified by sex and smoking behavior.

RESULTS

Most cancers had sojourn times <5 y (model range [MR]; lowest to highest value across models: 83.5%-98.7% of cancers). However, cancer aggressiveness still varied across models, as demonstrated by differences in proportions of cancers with sojourn times <2 y (MR: 42.5%-64.6%) and 2 to 4 y (MR: 28.8%-43.6%). Stage-specific sensitivity varied, particularly for stage I (MR: 31.3%-91.5%). Screening reduced stage IV incidence in most models for 1 y postscreening; increased sensitivity prolonged this period to 2 to 5 y. Screening-induced lung cancer mortality reductions among lung cancers detected at screening ranged widely (MR: 14.6%-48.9%), demonstrating variations in modeled treatment effectiveness of screen-detected cases. All models assumed longer sojourn times and greater screening-induced lung cancer mortality reductions for women. Models assuming differences in cancer epidemiology by smoking behaviors assumed shorter sojourn times and lower screening-induced lung cancer mortality reductions for heavy smokers.

CONCLUSIONS

Model-based personalized screening recommendations are primarily driven by assumptions regarding sojourn times (favoring longer intervals for groups more likely to develop less aggressive cancers), sensitivity (higher sensitivities favoring longer intervals), and screening-induced mortality reductions (greater reductions favoring shorter intervals).

IMPLICATIONS

Models suggest longer screening intervals may be feasible and benefits may be greater for women and light smokers.

HIGHLIGHTS

Natural-history models are increasingly used to inform lung cancer screening, but causes for variations between models are difficult to assess.This is the first evaluation of these causes and their impact on personalized screening recommendations through easily interpretable metrics.Models vary regarding sojourn times, stage-specific sensitivities, and screening-induced lung cancer mortality reductions.Model outcomes were similar in predicting greater screening benefits for women and potentially light smokers. Longer screening intervals may be feasible for women and light smokers.

Prognostic significance of body mass index and serum albumin as the indicators of nutritional status in small cell lung cancer

BACKGROUND

Body mass index (BMI) and serum albumin (ALB) level are long-established markers that reflect the nutritional status and eventually the prognosis of cancer patients. The objective of the study was to determine the clinical significance of these factors and specify their roles in outcomes compared with performance status (PS) and weight loss (WL), which are considered the most significant patient-related prognostic factors in small cell lung cancer (SCLC) treated with platinum-etoposide-based chemotherapy.

METHODS

A total of 378 patients with SCLC were enrolled in the study and analyzed retrospectively.

RESULTS

BMI values were similar by clinical stage, whereas the percentages of the patients with WL, low serum ALB, and particularly poor (≥2) PS were significantly higher in patients with extended disease SCLC (ED-SCLC) compared to those with limited disease SCLC (LD-SCLC). In LD-SCLC, patients with poor PS lived for a significantly shorter time than patients with good PS (HR: 7.791, p = 0.0001); however, BMI (HR: 1.035, p = 0.8), WL (HR: 0.857, p = 0.5), and ALB (HR: 0.743, p = 0.3) had no significant effect on the outcome. In ED-SCLC, PS (HR: 4.257, p = 0.0001), WL (HR: 1.677, p = 0.001), and ALB (HR: 0.680, p = 0.007) had an impact on survival, but BMI did not (HR: 0.791, p = 0.08). In LD-SCLC, the univariate analysis showed that only poor PS was correlated with increased mortality (HR: 7.791, p = 0.0001); yet it lost significance in multivariate analysis. In ED-SCLC, poor PS (HR: 4.257, p = 0.0001), WL (HR: 1.667, p = 0.001), and a low ALB level (HR: 0.680, p = 0.007) were shown to be factors for poor prognosis in the univariate analysis; yet only PS remained significant in multivariate analysis (HR: 2.286, p = 0.001).

CONCLUSION

Even though BMI and serum albumin showed no prognostic value in SCLC patients treated with chemotherapy, PS was found to be the most significant prognostic factor in both LD- and ED-SCLC stages.

Trends in nutritional status and factors affecting prognostic nutritional index in ovarian cancer patients during chemotherapy: a prospective longitudinal study based on generalized estimating equations

PURPOSE

Numerous studies have investigated the relationships between nutritional status and the prognosis of ovarian cancer (OC). However, the majority of these studies have focused on pre-chemotherapy malnutrition, with limited attention given to dynamic changes in nutritional status during chemotherapy and the associated risk factors affecting the prognostic nutritional index (PNI) in OC women. This study aims to explore the variation trend in the nutritional status of OC women over time during chemotherapy and assess its predictive factors.

METHODS

A prospective longitudinal study was conducted from January 2021 to August 2023. Body mass index (BMI), PNI, Nutritional Risk Screening (NRS) 2002, serum albumin, and prealbumin measurements were utilized to assess the nutritional status of OC women. Data were collected through face-to-face interviews before initial chemotherapy (T0) and during the first (T1), third (T2), and fifth (T3) cycles of chemotherapy. Generalized Estimating Equations (GEE) were employed for the analysis of potential predictive factors.

RESULTS

A total of 525 OC women undergoing chemotherapy completed the study. Significantly varied levels of BMI, PNI, and serum concentrations of hemoglobin, albumin, prealbumin, potassium, sodium, magnesium, and calcium were observed in these patients (p < 0.05). The prevalence of nutritional risk decreased over time during chemotherapy (p < 0.05). Nutritional parameters, including BMI, PNI, and the serum concentrations of albumin and prealbumin, exhibited an upward trend in nutritional status throughout the chemotherapy cycles (p < 0.05). Multivariate analysis indicated that higher levels of BMI, serum albumin, prealbumin, absolute lymphocyte count, and hemoglobin ≥ 110 g/L at admission were associated with elevated PNI after chemotherapy (β = 0.077, p = 0.028; β = 0.315, p < 0.001; β = 0.009, p < 0.001; β = 1.359, p < 0.001; β =  - 0.637, p = 0.005).

CONCLUSION

Patients consistently demonstrated improvements in nutritional risk and status from the initiation to the completion of chemotherapy cycles. Nutritional monitoring of OC women, particularly those exhibiting abnormalities at the commencement of chemotherapy, is crucial. Targeted nutritional support programs should be developed to enhance the prognosis of OC women.

Albumin‑bilirubin grade is an independent prognostic factor for small lung cell cancer

Albumin-bilirubin (ALBI) grade was first described in 2015 as an indicator of liver dysfunction in patients with hepatocellular carcinoma. ALBI grade has been reported to have prognostic value in several malignancies including non-small cell lung cancer (NSCLC). The present study aimed to explore the prognostic impact of ALBI grade in patients with small cell lung cancer (SCLC). It retrospectively analyzed 135 patients with SCLC treated at Hebei General Hospital between April 2015 and August 2021. Patients were divided into two groups according to the cutoff point of ALBI grade determined by the receiver operating characteristic (ROC) curve: Group 1 with pre-treatment ALBI grade ≤-2.55 for an improved hepatic reserve and group 2 with ALBI grade >-2.55. Kaplan-Meier and Cox regression analysis were performed to assess the potential prognostic factors associated with progression free survival (PFS) and overall survival (OS). Propensity score matching (PSM) was applied to eliminate the influence of confounding factors. PFS and OS (P<0.001) were significantly improved in group 1 compared with in group 2. Multivariate analysis revealed that sex (P=0.024), surgery (P=0.050), lactate dehydrogenase (LDH; P=0.038), chemotherapy (P=0.038) and ALBI grade (P=0.028) are independent risk factors for PFS and that surgery (P=0.013), LDH (P=0.039), chemotherapy (P=0.009) and ALBI grade (P=0.013) are independent risk factors for OS. After PSM, ALBI grade is an independent prognostic factor of PFS (P=0.039) and OS (P=0.007). It was concluded that ALBI grade was an independent prognostic factor in SCLC.

Exposure-response analysis using time-to-event data for bevacizumab biosimilar SB8 and the reference bevacizumab

Purpose: This analysis aimed to characterize the exposure-response relationship of bevacizumab in non-small-cell lung cancer (NSCLC) and evaluate the efficacy of SB8, a bevacizumab biosimilar, and Avastin®, the reference bevacizumab sourced from the European Union (EU), based on the exposure reported in a comparative phase III efficacy and safety study (EudraCT, 2015-004026-34; NCT02754882). Materials and methods: The overall survival (OS) and progression-free survival (PFS) data from 224 patients with steady-state trough concentrations (Css,trough) were analyzed. A parametric time-to-event (TTE) model was developed using NONMEM®, and the effects of treatments (SB8 and bevacizumab-EU) and patient demographic and clinical covariates on OS and PFS were evaluated. Simulations of median OS and PFS by bevacizumab Css,trough were conducted, and concentrations required to achieve 50% and 90% of the maximum median TTE were computed. Results: A log-logistics model with Css,trough best described the OS and PFS data. Treatment was not a predictor of the hazard for OS or PFS. Simulations revealed steep exposure-response curves with a phase of rapid rise before saturating to a plateau. The median Css,trough values of SB8 and bevacizumab-EU reported from the clinical study were on the plateaus of the exposure-response curves. The concentrations required to achieve 50% and 90% of the maximum effect were 82.4 and 92.2 μg/mL, respectively, for OS and 79.7 and 89.1 μg/mL, respectively, for PFS. Conclusion: Simulations based on the constructed TTE models for OS and PFS have well described the exposure-response relationship of bevacizumab in advanced NSCLC. The analysis demonstrated comparable efficacy between SB8 and bevacizumab-EU in terms of OS and PFS based on their exposure levels.

Exploring the impact of patient-specific clinical features on osimertinib effectiveness in a real-world cohort of patients with EGFR mutated non-small cell lung cancer

Osimertinib is prescribed to patients with metastatic non-small cell lung cancer (NSCLC) and a sensitizing EGFR mutation. Limited data exists on the impact of patient characteristics or osimertinib exposure on effectiveness outcomes. This was a Dutch, multicenter cohort study. Eligible patients were ≥18 years, with metastatic EGFRm+ NSCLC, receiving osimertinib. Primary endpoint was progression-free survival (PFS). Secondary endpoints included overall survival (OS) and safety. Kaplan-Meier analyses and multivariate Cox proportional hazard models were performed. In total, 294 patients were included. Primary EGFR-mutations were mainly exon 19 deletions (54%) and p.L858R point mutations (30%). Osimertinib was given in first-line (40%), second-line (46%) or beyond (14%), with median PFS 14.4 (95% CI: 9.4-19.3), 13.9 (95% CI: 11.3-16.1) and 8.7 months (95% CI: 4.6-12.7), respectively. Patients with low BMI (<20.0 kg/m2 ) had significantly shorter PFS/OS compared to all other subgroups. Patients with a high plasma trough concentration in steady state (Cmin,SS ; >271 ng/mL) had shorter PFS compared to a low Cmin,SS (<163 ng/mL; aHR 2.29; 95% CI: 1.13-4.63). A significant longer PFS was seen in females (aHR = 0.61, 95% CI: 0.45-0.82) and patients with the exon 19 deletion (aHR = 0.58, 95% CI: 0.36-0.92). A trend towards longer PFS was seen for TP53 wild-type patients, while age did not impact PFS. Patients with a primary EGFR exon 19 deletion had longer PFS, while a low BMI, male sex and a high Cmin,SS were indicative for shorter PFS and/or OS. Age was not associated with effectiveness outcomes of osimertinib.

Physical Resilience as a Predictor of Lifespan and Late-Life Health in Genetically Heterogeneous Mice

Dynamic measures of resilience-the ability to resist and recover from a challenge-may be informative of the rate of aging before overt manifestations such as chronic disease, disability, and frailty. From this perspective mid-life resilience may predict longevity and late-life health. To test this hypothesis, we developed simple, reproducible, clinically relevant challenges, and outcome measures of physical resilience that revealed differences between and within age groups of genetically heterogeneous mice, and then examined associations between mid-life resilience and both lifespan and late-life measures of physiological function. We demonstrate that time to recovery from isoflurane anesthesia and weight change following a regimen of chemotherapy significantly differed among young, middle-aged, and older mice, and were more variable in older mice. Females that recovered faster than the median time from anesthesia (more resilient) at 12 months of age lived 8% longer than their counterparts, while more resilient males in mid-life exhibited better cardiac (fractional shortening and left ventricular volumes) and metabolic (glucose tolerance) function at 24 months of age. Moreover, female mice with less than the median weight loss at Day 3 of the cisplatin challenge lived 8% longer than those that lost more weight. In contrast, females who had more weight loss between Days 15 and 20 were relatively protected against early death. These data suggest that measures of physical resilience in mid-life may provide information about individual differences in aging, lifespan, and key parameters of late-life health.

Prognostic significance of body mass index in small-cell lung cancer: Exploring the relationship with skeletal muscle status

BACKGROUND

We investigated the prognostic significance of body mass index in small-cell lung cancer and explored whether skeletal muscle status affects the body mass index-survival relationship.

METHODS

This retrospective study evaluated data from patients who underwent platinum-etoposide chemotherapy for small-cell lung cancer between March 2010 and December 2021. Skeletal muscle status was assessed using non-contrast computed tomography images of baseline positron-emission tomography-computed tomography, with the skeletal muscle index defined as the cross-sectional area of skeletal muscle divided by height squared, and the average attenuation values of skeletal muscle. Cox proportional hazards regression analysis was used to determine the correlations of body mass index, skeletal muscle metrics, and overall survival.

RESULTS

We analysed the data of 1146 Asian patients (1006 men and 140 women, with a median age of 67 years [interquartile range: 61-72 years]), including 507 and 639 patients with limited and extensive disease, respectively. Being underweight, defined as a body mass index <18.5 kg/m2 , was associated with shorter overall survival, independent of clinical covariates in both the limited-disease (hazard ratio, 1.77; 95% confidence interval, 1.01-3.09) and extensive-disease (hazard ratio, 1.71; 95% confidence interval, 1.18-2.48) groups. The prognostic value of being underweight remained significant after additional adjustment for skeletal muscle index and attenuation in both limited-disease (hazard ratio, 1.96; 95% confidence interval, 1.09-3.51) and extensive-disease (hazard ratio, 1.75; 95% confidence interval, 1.17-2.61) groups.

CONCLUSIONS

Being underweight is an independent poor prognostic factor for shorter overall survival in Asian patients with small-cell lung cancer, regardless of skeletal muscle status.

High-fat diet induces C-reactive protein secretion, promoting lung adenocarcinoma via immune microenvironment modulation

To understand the effects of a high-fat diet (HFD) on lung cancer progression and biomarkers, we here used an inducible mutant epidermal growth factor receptor (EGFR)-driven lung cancer transgenic mouse model fed a regular diet (RD) or HFD. The HFD lung cancer (LC-HFD) group exhibited significant tumor formation and deterioration, such as higher EGFR activity and proliferation marker expression, compared with the RD lung cancer (LC-RD) group. Transcriptomic analysis of the lung tissues revealed that the significantly changed genes in the LC-HFD group were highly enriched in immune-related signaling pathways, suggesting that an HFD alters the immune microenvironment to promote tumor growth. Cytokine and adipokine arrays combined with a comprehensive analysis using meta-database software indicated upregulation of C-reactive protein (CRP) in the LC-HFD group, which presented with increased lung cancer proliferation and metastasis; this was confirmed experimentally. Our results imply that an HFD can turn the tumor growth environment into an immune-related pro-tumorigenic microenvironment and demonstrate that CRP has a role in promoting lung cancer development in this microenvironment.

Impact of anesthetic factors on prognosis of patients with non-small cell lung cancer after surgery

Background

Nowadays, the influence of anesthesia management on the prognosis of cancer patients has been widely concerned. The goal of this study is to assess the association between anesthetic factors and the prognosis of patients with non-small cell lung cancer (NSCLC) after surgery.

Methods

Patients with NSCLC who underwent surgery from January 1, 2006, to December 31, 2009 were selected. Cox proportional hazards model and Logistic regression analysis model were used to screen the independent predictors of prognosis of patients. The primary endpoint was postoperative overall survival (OS), and the secondary endpoint was postoperative recurrence-free survival (RFS) and postoperative pulmonary complications (PPCs).

Results

A total of 588 patients were included into the final analysis. The overall RFS was 4.4 [interquartile range (IQR), 1.1-10.1] years, and the OS was 6.2 (IQR, 2.4-10.2) years. Age ≥60 years, advanced tumor stage, and maximal tumor size >3 cm were associated with shortened survival, whereas high BMI grade, mediastinal lymph node dissection, perioperative fentanyl equivalents >28.2 µg/kg, and high tumor grade were associated with prolonged survival (P<0.05); perioperative glucocorticoid administration delayed recurrence (P<0.05); advanced tumor stage and perioperative fentanyl equivalents >28.2 µg/kg were associated with an increased PPCs risk (P<0.05).

Conclusions

The findings from this study revealed that perioperative anesthetic factors may impact the prognosis of patients with NSCLC after surgery. Perioperative opioid and glucocorticoid exposure were independent predictors for outcomes. However, perioperative fentanyl equivalents over 28.2 µg/kg seemed to be beneficial to OS, but contribute to the occurrence of PPCs.

The progresses of relevant factors on the efficacy of immune checkpoint inhibitors in the non-small cell lung cancer patients

Lung cancer has the highest mortality rate of all cancers worldwide. Although immune checkpoint inhibitor (ICI)-based therapy can improve the survival of patients with lung cancer, its efficacy is affected by many factors. Therefore, it is necessary to identify factors that affect the efficacy of ICI-based treatment and establish a model for predicting drug response and resistance before and during treatment for individualized and accurate treatment of patients. This review summarizes the clinical and biological factors related to ICI-based treatment of non-small cell lung cancer (NSCLC) and the recent research progress of predictive models for assessing ICI efficacy.

Development and validation of novel immune-inflammation-based clinical predictive nomograms in HER2-negative advanced gastric cancer

Purpose

To explore the predictive value of multiple immune-inflammatory biomarkers including serum VEGFA and systemic immune-inflammation index (SII) in HER2-negative advanced gastric cancer (AGC) and establish nomograms for predicting the first-line chemotherapeutic efficacy, progression-free survival (PFS) and overall survival (OS) of patients with this fatal disease.

Methods

From November 2017 to April 2022, 102 and 34 patients with a diagnosis of HER2-negative AGC at the First Affiliated Hospital of Bengbu Medical College were enrolled as development and validation cohorts, respectively. Univariate and multivariate analyses were performed to evaluate the clinical value of the candidate indicators. The variables were screened using LASSO regression analysis. Predictive models were developed using significant predictors and are displayed as nomograms.

Results

Baseline VEGFA expression was significantly higher in HER2-negative AGC patients than in nonneoplastic patients and was associated with malignant serous effusion and therapeutic efficacy (all p<0.001). Multivariate analysis indicated that VEGFA was an independent predictor for first-line therapeutic efficacy and PFS (both p<0.01) and SII was an independent predictor for first-line PFS and OS (both p<0.05) in HER2-negative AGC patients. The therapeutic efficacy model had an R2 of 0.37, a Brier score of 0.15, and a Harrell's C-index of 0.82 in the development cohort and 0.90 in the validation cohort. The decision curve analysis indicated that the model added more net benefits than VEGFA assessment alone. The PFS/OS models had Harrell's C-indexes of 0.71/0.69 in the development cohort and 0.71/0.62 in the validation cohort.

Conclusion

The established nomograms integrating serum VEGFA/SII and commonly available baseline characteristics provided satisfactory performance in predicting the therapeutic efficacy and prognosis of HER2-negative AGC patients.

Treatment and mortality risk of older adults with non-small cell cancer in Taiwan: A population-based cohort study

BACKGROUND

Older patients tend to have decreased physical functions and more comorbidities than younger patients. At present, the best management for very elderly patients with lung cancer is not known. In this study, we aimed to investigate treatment and mortality risk of older adults with non-small cell cancer (NSCLC) in Taiwan.

METHODS

This study analyzed data from the Taiwan Cancer Registry database. Patients aged ≥80 years with newly diagnosed NSCLC between 2010 and 2017 were included. Treatment options were categorized as curative, palliative, and no treatment. Patients were followed up until death or December 31, 2020. Univariable and multivariable Cox proportional hazards models were used to estimate mortality risk, and Kaplan-Meier survival curves were drawn.

RESULTS

A total of 11 941 patients, aged ≥80 years, with newly diagnosed NSCLC between 2010 and 2017 were identified from the Taiwan Cancer Registry and followed up until 2020. The mean age was 84.4 ± 3.7 years old, and 7468 (62.54%) were men. The Kaplan-Meier survival curves showed significant differences across the three treatment options (log-rank p < 0.001). Results from multivariate Cox regression demonstrated that patients on palliative treatment (adjusted HR: 0.52, 95% CI: 0.48-0.56, p < 0.001) and curative treatment (adjusted HR: 0.45, 95% CI: 0.42-0.48, p < 0.001) had a significantly lower mortality risk than those with no treatment. The subgroup analyses stratified by cancer stages also showed consistent findings.

CONCLUSION

Elderly patients with NSCLC had significantly decreased mortality risk when receiving curative or palliative treatment compared with those without treatment. In the future, further studies are warranted to investigate complications and quality of life of elderly patients with NSCLC during palliative or curative treatment.

Association between duration of smoking abstinence before non-small-cell lung cancer diagnosis and survival: a retrospective, pooled analysis of cohort studies

BACKGROUND

The association between duration of smoking abstinence before non-small-cell lung cancer (NSCLC) diagnosis and subsequent survival can influence public health messaging delivered in lung-cancer screening. We aimed to assess whether the duration of smoking abstinence before diagnosis of NSCLC is associated with improved survival.

METHODS

In this retrospective, pooled analysis of cohort studies, we used 26 cohorts participating in Clinical Outcomes Studies of the International Lung Cancer Consortium (COS-ILCCO) at 23 hospitals. 16 (62%) were from North America, six (23%) were from Europe, three (12%) were from Asia, and one (4%) was from South America. Patients enrolled were diagnosed between June 1, 1983, and Dec 31, 2019. Eligible patients had smoking data before NSCLC diagnosis, epidemiological data at diagnosis (obtained largely from patient questionnaires), and clinical information (retrieved from medical records). Kaplan-Meier curves and multivariable Cox models (ie, adjusted hazard ratios [aHRs]) were generated with individual, harmonised patient data from the consortium database. We estimated overall survival for all causes, measured in years from diagnosis date until the date of the last follow-up or death due to any cause and NSCLC-specific survival.

FINDINGS

Of 42 087 patients with NSCLC in the COS-ILCCO database, 21 893 (52·0%) of whom were male and 20 194 (48·0%) of whom were female, we excluded 4474 (10·6%) with missing data. Compared with current smokers (15 036 [40·0%] of 37 613), patients with 1-3 years of smoking abstinence before NSCLC diagnosis (2890 [7·7%]) had an overall survival aHR of 0·92 (95% CI 0·87-0·97), patients with 3-5 years of smoking abstinence (1114 [3·0%]) had an overall survival aHR of 0·90 (0·83-0·97), and patients with more than 5 years of smoking abstinence (10 841 [28·8%]) had an overall survival aHR of 0·90 (0·87-0·93). Improved NSCLC-specific survival was observed in 4301 (44%) of 9727 patients who had quit cigarette smoking and was significant at abstinence durations of more than 5 years (aHR 0·87, 95% CI 0·81-0·93). Results were consistent across age, sex, histology, and disease-stage distributions.

INTERPRETATION

In this large, pooled analysis of cohort studies across Asia, Europe, North America, and South America, overall survival was improved in patients with NSCLC whose duration of smoking abstinence before diagnosis was as short as 1 year. These findings suggest that quitting smoking can improve overall survival, even if NSCLC is diagnosed at a later lung-cancer screening visit. These findings also support the implementation of public health smoking cessation strategies at any time.

FUNDING

The Alan B Brown Chair, The Posluns Family Fund, The Lusi Wong Fund, and the Princess Margaret Cancer Foundation.

Association Between Visceral Fat Area and Cancer Prognosis: A Population-Based Multicenter Prospective Study

BACKGROUND

Diverse indicators have been used to represent adipose tissue, while the relationship between body adipose mass and the prognosis of patients with cancer remains controversial.

OBJECTIVE

This study aimed to explore the indicators of optimal body composition that represent body fat mass to predict risk of cancer-related mortality.

METHODS

We conducted a population-based multicenter prospective cohort study of patients with initial cancer between February 2012 and September 2020. Clinical information, body composition indicators, hematologic test results, and follow-up data were collected. Body composition indicators were analyzed using principal component analysis to select the most representative indicators, and the cutoff value was set according to the optimal stratification method. The hazard ratio (HR) for mortality was calculated using Cox proportional hazards regression models.

RESULTS

Among 14,018 patients with complete body composition data, visceral fat area (VFA) is a more optimal indicator for body fat content (principal component index: 0.961) than body mass index (principal component index: 0.850). The cutoff points for VFA in terms of time to mortality were 66 cm2 and 102 cm2 for gastric/esophageal cancer and other cancers, respectively. Among the 2788 patients treated systemically, multivariate analyses demonstrated that a lower VFA was associated with a higher risk of death in patients with cancer of diverse types (HR: 1.33; 95% CI: 1.08, 1.64; P = 0.007), especially gastric cancer (HR: 2.13; 95% CI: 1.3, 3.49; P = 0.003), colorectal cancer HR: 1.81; 95% CI: 1.06, 3.08; P = 0.030) and nonsmall-cell lung cancer (HR: 1.27; 95% CI: 1.01, 1.59; P = 0.040).

CONCLUSION

VFA is an independent prognostic indicator of muscle mass in patients with diverse types of cancer, particularly gastric, colorectal, and nonsmall-cell lung cancers.

TRIAL REGISTRATION NUMBER

ChiCTR1800020329.

Prognostic Potential of the Prognostic Nutritional Index in Non-Small Cell Lung Cancer Patients Receiving Pembrolizumab Combination Therapy with Carboplatin and Paclitaxel/Nab-Paclitaxel

INTRODUCTION

Pembrolizumab (Pemb) therapy in conjunction with carboplatin and paclitaxel (PTX)/nab-PTX has been efficacious in treating non-small cell lung cancer (NSCLC). However, the response predictors of this combination therapy (Pemb-combination) remain undetermined. We aimed to evaluate whether Glasgow prognostic score (GPS), neutrophil-to-lymphocyte ratio (NLR), body mass index (BMI), platelet-to-lymphocyte ratio (PLR), and prognostic nutritional index (PNI) are potential factors in prognosticating the response to Pemb-combination therapy in advanced NSCLC patients.

METHODS

We retrospectively recruited 144 NSCLC patients receiving first-line treatment with Pemb-combination therapy from 13 institutions between December 1, 2018, and December 31, 2020. GPS, NLR, BMI, PLR, and PNI were assessed for their efficacy as prognostic indicators. Cox proportional hazard models and the Kaplan-Meier method were used to compare the progression-free survival (PFS) and overall survival (OS) of the patients.

RESULTS

The treatment exhibited a response rate of 63.1% (95% confidence interval [CI]: 55.0-70.6%). Following Pemb-combination administration, the median PFS and OS were 7.3 (95% CI: 5.3-9.4) and 16.5 (95% CI: 13.9-22.1) months, respectively. Contrary to PNI, NLR, GPS, BMI, and PLR did not display substantially different PFS in univariate analysis. However, multivariate analysis did not identify PNI as an independent prognostic factor for PFS. Furthermore, univariate analysis revealed that GPS, BMI, and PLR exhibited similar values for OS but not NLR and PNI. Patients with PNI ≥45 were predicted to have better OS than those with PNI <45 (OS: 23.4 and 13.9 months, respectively, p = 0.0028). Multivariate analysis did not establish NLR as an independent prognostic factor for OS.

CONCLUSION

The PNI evidently predicted OS in NSCLC patients treated with Pemb-combination as first-line therapy, thereby validating its efficiency as a prognostic indicator of NSCLC.

[A Prognostic Model of Elderly Patients with Non-small Cell Lung Cancer Based on Geriatric Nutritional Risk Index]

BACKGROUND

The relationship between nutritional status and prognosis of cancer patients has emerged as a hotspot for research. The aim of this study is to explore the application value of the geriatric nutritional risk index (GNRI) in assessing the prognosis of elderly patients with non-small cell lung cancer (NSCLC), and establish a Nomogram to predict the prognosis of elderly patients with NSCLC.

METHODS

The data of patients with NSCLC aged ≥65 years who were initially treated in the First Affiliated Hospital of Zhengzhou University from January 2016 to December 2019 were retrospectively analyzed. To determine the optimal cut-off value for GNRI, receiver operating characteristic (ROC) curve was constructed, and the patients were divided into high and low GNRI groups. Kaplan-Meier curve and Log-rank test were used to compare overall survival (OS) of the two groups. Univariate and multivariate Cox regression was used to analyze the risk factors for poor prognosis in elderly patients with NSCLC. Nomogram predicting survival in elderly patients with NSCLC was constructed and validated by using R software.

RESULTS

Statistically significant differences in age, gender, body mass index (BMI), histological type, albumin, treatment methods, neutrophil to lymphocyte ratio (NLR), prognostic nutritional index (PNI), systemic immune-inflammation index (SII) and cytokeratin 19 fragment (CYFRA21-1) were observed between the high and low GNRI groups (P<0.05). The Kaplan-Meier curve showed a shorter OS in the low-GNRI group. Multivariate Cox regression analysis showed that CYFRA21-1>3.3 ng/mL was an independent risk factor for the development of OS in patients with NSCLC, and GNRI>97.09 was a protective factor [hazard ratio (HR)=0.52, 95% confidence interval (CI): 0.34-0.79, P<0.05]. Patients in the stage IV had a 1.98-fold increased risk of death compared with patients in the stage I (95%CI: 1.02-3.86, P<0.05). The risk of death was 3.58 times higher in patients receiving chemotherapy alone compared with those receiving combination therapy (95%CI: 2.03-6.32, P<0.05). A Nomogram constructed on the basis of GNRI, which predicted the OS of elderly patients with NSCLC with a concordance index (C-index) of 0.70 (95%CI: 0.65-0.76), and the area under the curve (AUC) for 1 and 2-year survival rates to be 0.93 (95%CI: 0.87-0.98) and 0.72 (95%CI: 0.63-0.80), respectively, and the calibration curve has a good coincidence of prediction.

CONCLUSIONS

High GNRI scores are significantly associated with improved survival in elderly patients with NSCLC, and reliance on cut-off values may provide the appropriate timing for nutritional support. The Nomogram constructed in this study can be used as an effective tool to predict the survival rate of elderly patients with NSCLC, which has strong clinical practicability.

Evaluation of Efficacy of ALK Inhibitors According to Body Mass Index in ALK Rearranged NSCLC Patients-A Retrospective Observational Study

No evidence exists as to whether body mass index (BMI) impairs clinical outcomes from ALK inhibitors (ALKi) in patients with ALK-rearranged non-small cell lung cancer (NSCLC). Retrospective data of patients affected by metastatic ALK-rearranged NSCLC treated with ALKi were collected. We divided patients into "low- BMI" (≤25 kg/m²) and "high- BMI" (>25 kg/m²) categories and correlated them with overall survival (OS) and progression-free survival (PFS). We included 40 patients treated with ALKi. We observed a 3-year OS of 81.5% in high-BMI vs. 49.6% in low-BMI categories (p = 0.049); the 3-year first-line PFS was superior in high-BMI vs. low-BMI patients (47% vs. 19%, p = 0.019). As expected, patients treated with Alectinib had a 55.6% 3-year PFS vs. 7.1% for others treated with ALKi (p = 0.025). High-BMI was associated with a 100% 3-year PFS rate vs. 25.4% in low-BMI Alectinib patients (p = 0.03). BMI was independently correlated with first-line PFS and OS at multivariate analysis with PS (HR 0.39, CI 95% 0.16-0.96, p = 0.042; HR 0.18, CI 95% 0.05-0.61, p = 0.006). High-BMI was associated with higher efficacy in ALK-rearranged patients. These results are particularly exciting for Alectinib and could be correlated to mechanisms that should be investigated in subsequent prospective studies.

Combined systemic immune-inflammatory index and prognostic nutritional index predict outcomes in advanced non-small cell lung cancer patients receiving platinum-doublet chemotherapy

Background

Systemic immune-inflammatory index (SII) and prognostic nutritional index (PNI) could evaluate the therapeutic efficacy and prognosis in different tumors. However, no studies investigated the SII-PNI score to predict outcomes in non-small cell lung cancer (NSCLC) patients treated with platinum-doublet chemotherapy. The aim of this study was to investigate the SII-PNI score in predicting outcomes in non-small cell lung cancer (NSCLC) patients treated with platinum-doublet chemotherapy.

Materials and methods

Our study retrospectively analyzed clinical data from 124 patients with advanced NSCLC receiving platinum-doublet chemotherapy. The SII and PNI were calculated based on peripheral blood cell counts and serum albumin, and the optimal cut-off values were determined using receiver operating characteristic (ROC). All patients were divided into three groups according to the SII-PNI score. The association between the SII-PNI score and the clinicopathological characteristics of the patients was examined. The Kaplan-Meier and Cox regression models were used to assess progression-free survival (PFS)and overall survival (OS).

Results

There was no significant correlation between SII, PNI at baseline and chemotherapy response in patients with advanced NSCLC (p&gt;0.05). However, after receiving 4 cycles of platinum-doublet chemotherapy, the SII of the SD group (p=0.0369) and PD group (p=0.0286) was significantly higher than that of the PR group. At the same time, the PNI of the SD group (p=0.0112) and the PD group (p=0.0007) was significantly lower than that of the PR group. The PFS of patients with SII-PNI scores of 0, 1, and 2 were 12.0, 7.0, and 5.0 months, and the OS of patients with SII-PNI scores of 0, 1, and 2 were 34.0, 17.0, and 10.5 months, respectively. There was statistical significance among the three groups (all p &lt;0.001). Multivariate analyses showed that the chemotherapy response of progressive disease (PD) (HR, 3.508; 95% CI, 1.546-7.960; p=0.003) and SII-PNI score of 2 (HR, 4.732; 95% CI, 2.561-8.743; p &lt; 0.001) were independently associated with a shorter OS. The uses of targeted drugs (HR, 0.543; 95% CI, 0.329-0.898; p=0.017) and immune checkpoint inhibitors (HR, 0.218; 95% CI, 0.081-0.584; p=0.002) were protective factors for OS in patients with NSCLC.

Conclusion

Compared with baseline parameters, the correlation between SII, PNI after 4 cycles of chemotherapy and the chemotherapy effect was more significant. The SII-PNI score after 4 cycles of chemotherapy is an effective prognostic biomarker for advanced NSCLC patients treated with platinum-doublet chemotherapy. Patients with a higher SII-PNI score had a worse prognosis.

Diastole/Body Mass Index Ratio Can Predict Post-Thoracoscopic Surgery Metastasis in Stage I Lung Adenocarcinoma

Background: According to recent animal models for lung adenocarcinoma metastasis, cardiac function may be related to the clinical outcome. The aim of this study is to identify a predictable index for postoperative metastasis (POM) that is associated with cardiac function. Methods. Two hundred and seven consecutive patients who underwent thoracoscopic resection for stage I lung adenocarcinoma were included. Disease-free survival (DFS), overall survival (OS), and patients’ clinical and pathological characteristics were analyzed. Results. Among the 207 patients, 17 cases demonstrated metastasis, 110 cases received a preoperative echocardiogram, and six cases had POM. Mitral valve peak A velocity, which is one of the left ventricular diastolic function parameters affected by BMI (MVPABMI), was associated with a negative factor for POM (hazard ratio (HR): 2.139, p = 0.019) and a poor 5-year DFS in the above median (100% vs. 87%, p = 0.014). The predictable rate increased from 30.7% to 75% when the MVPABMI was above the median = 3.15 in the solid subtype). Conclusions. MVPABMI is a novel index for POM prediction in early-stage lung adenocarcinoma. This is a pilot study and the first attempt at research to verify that the diastole and the BMI may be associated with POM in early-stage lung adenocarcinoma.

The Impact of Pretreatment Low Body Mass Index on Cause-Specific Mortality in Patients with Squamous Cell Carcinoma of the Oral Cavity

The association between the pretreatment body mass index (BMI) and oral squamous cell carcinoma (SCC) outcomes is controversial. We aimed to examine the association between BMI and cause-specific mortality due to cancer of the oral cavity and patterns of failure that correlate with increased mortality. We enrolled 2,023 East Asian patients in this multicenter cohort study. We used the cumulative incidence competing risks method and the Fine-Gray model to analyze factors associated with cause-specific mortality, local recurrence, regional metastasis, and distant metastasis as first events. The median follow-up period was 62 mo. The 5-year cause-specific mortality for patients with underweight was 25.7%, which was significantly higher than that for patients with normal weight (12.7%, P < 0.0001). The multivariate model revealed that underweight was an independent risk factor for cause-specific mortality and regional metastasis (P < 0.05). Moreover, patients with underweight displayed a 51% and 55% increased risk of cause-specific mortality and regional metastasis, respectively, compared with their normal weight counterparts. Local recurrence was not associated with the BMI categories; however, the incidence of distant metastasis inversely decreased with BMI value. In summary, being underweight at diagnosis should be considered a high-risk mortality factor for oral SCC.

Pretreatment glasgow prognostic score predicts survival among patients administered first-line atezolizumab plus carboplatin and etoposide for small cell lung cancer

Background

There are no established predictive biomarkers for the effectiveness of first-line atezolizumab plus carboplatin and etoposide therapy in patients with small-cell lung cancer (SCLC). Therefore, the current study aimed to investigate whether the Glasgow prognostic score (GPS), neutrophil-to-lymphocyte ratio (NLR), and body mass index (BMI) can predict the effectiveness of first-line atezolizumab plus carboplatin and etoposide therapy in patients with extensive-disease SCLC.

Methods

We reviewed data from 84 patients who received first-line atezolizumab plus carboplatin and etoposide therapy for SCLC at nine Japanese institutions between August 2019 and May 2021. Further, we evaluated the prognostic value of the GPS, NLR, and BMI. The Kaplan-Meier and Cox proportional hazard models were used to examine differences in progression-free survival (PFS) and overall survival (OS). Moreover, the GPS, NLR, and BMI consisted of C-reactive protein and albumin concentrations, neutrophil and lymphocyte counts, and body weight and height, respectively.

Results

The response rate was 72.6% (95% confidence interval: 63.0-82.1%). The median PFS and OS from the initiation of treatment were 5.4 (95% CI: 4.9-5.9) months and 15.4 (95% CI: 11.4-16.8) months, respectively. The GPS independently predicted the effectiveness of first-line atezolizumab plus carboplatin and etoposide treatment, as a favorable GPS (GPS 0-1) was correlated with significantly better PFS and OS rates compared to a poor GPS (GPS 2) (PFS: 5.8 vs. 3.8 months, p = 0.0005; OS: 16.5 vs. 8.4 months, p<0.0001).

Conclusions

This is the first analysis to evaluate the association between the GPS, NLR, and BMI and the treatment effectiveness of survival among patients receiving first-line atezolizumab plus carboplatin and etoposide therapy for SCLC. Among patients receiving this treatment for SCLC, GPS was significantly associated with the PFS and OS rates, suggesting that GPS might be useful for evaluating therapeutic outcomes in these patients.

Overweight and Obesity are Associated with Poorer Survival Among Patients with Advanced Non-Small Cell Lung Cancer Receiving Platinum-Based Chemotherapy

Background and Aim

Most patients with non-small cell lung cancer (NSCLC) are diagnosed in advanced-stage disease and therefore have poor overall survival. It remains unclear whether nutritional status affects response rate and overall survival in NSCLC patients. This study aimed to evaluate the association of nutritional status with treatment response and overall survival in patients with advanced stage of NSCLC.

Methods

Patients aged ≥18 years with stage II-IV NSCLC (January-June 2018) in a national cancer center in Indonesia were enrolled in this study. The patients were followed up for 2 years since NSCLC diagnosis was established. Clinical data including age, sex, histology of cancer, disease stage, cachexia, and weight status before chemotherapy were reviewed and analyzed. Logistic regression and Cox regression analyses were performed.

Results

A total of 174 patients (71% males, mean age = 58±9.4 years) was included. Complete response was found in <1% patients, partial response 41%, stable disease 33%, and progressive disease 25%. Median survival was 12 months (95% CI: 11-13 months). Mortality rate was 5.7 per 100 person-months. Poor survival was associated with being males (HR: 1.77, 95% CI: 1.15-2.72, P = 0.009), and overweight or obesity (HR 1.67, 95% CI: 1.04-2.69, P = 0.034). These associations were independent of sex, age, staging, histopathology, performance status and D-dimer level at baseline. Cachexia and BMI at baseline were not associated with treatment response.

Conclusion

Males and having overweight or obesity are independently associated with lower survival in patients with advanced stage of NSCLC undergoing platinum-based chemotherapy.

The Effect of Body Mass Index on Survival in Lung Cancer

The prognostic significance of body mass index in lung cancer and the direction of this relationship are not yet clear. This study aimed to evaluate the relationship between BMI and overall survival time of advanced-stage lung cancer patients treated in a center in Turkey, a developing country. In this study, the data of 225 patients diagnosed with stage III or stage IV lung cancer between 2016 and 2020 were analyzed. The effects of BMI and other variables on survival were examined by Cox regression analysis for NSCLC and SCLC. For NSCLC and SCLC, being underweight compared to the normal group, being diagnosed at a more advanced stage, and having a worse performance score were associated with a significantly higher risk of death. Other variables significantly associated with survival were gender, type of radiotherapy for NSCLC, age group, and family history for SCLC. This study showed that being underweight relative to the normal group was associated with worse survival for NSCLC and SCLC but did not support the obesity paradox. Studies that are representative of all BMI categories and free of bias are needed to understand the BMI-lung cancer survival relationship clearly.

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

BACKGROUND

This study aimed to explore the relationship between the modified advanced lung cancer inflammation index (mALI) and the survival of overweight or obese patients with lung cancer (LC).

METHODS

The mALI was defined as the appendix skeletal muscle index multiplied by the serum albumin level/neutrophil-to-lymphocyte ratio. The cutoff values for males and females were assessed separately. Survival curves were estimated using the Kaplan-Meier method, and statistical differences were determined using the log-rank test. Univariate and multivariate Cox proportional hazards models were used for the survival analysis. The area under the receiver operating characteristic curve was used to compare the prognostic value of mALI with other nutrition assessment indicators.

RESULTS

The mALI cut-offs for males and females were 8.59 and 8.26, respectively. Malnutrition, high systemic inflammation, and advanced stage for overweight or obese LC patients were found to be correlated with a low mALI. The median survival of patients with a low mALI was significantly lower than patients with a high mALI by approximately 25 months. In addition, the mALI can be used as an effective supplement to the traditional pathological stage. Multivariable analysis found that mALI was an independent prognostic factor of overall survival (hazard ratio = 0.531; 95% CI, 0.402-0.700; P < 0.001). The prognostic predictive performance of mALI was superior to that of other nutrition assessment indicators.

CONCLUSIONS

The mALI was an independent risk factor for the prognosis of overweight or obese LC patients, and a useful supplement to the pathological stage.

Mendelian randomization to explore the direct or mediating associations between socioeconomic status and lung cancer

Objective

The purpose of this study was to verify whether there are direct or mediated causal associations between socioeconomic status and lung cancer.

Methods

Pooled statistics were obtained from corresponding genome-wide association studies. The inverse-variance weighted, weighted median, MR-Egger, MR-PRESSO and contamination-mixture methods were used as supplements to Mendelian randomization (MR) statistical analysis. Cochrane's Q value and the MR-Egger intercept were used for sensitivity analysis.

Results

In the univariate MR analysis, household income and education had protective effects on overall lung cancer (income: P = 5.46×10^-4; education: P = 4.79×10^-7) and squamous cell lung cancer (income: P = 2.67×10^-3; education: P = 1.42×10^-10). Smoking and BMI had adverse effects on overall lung cancer (smoking: P = 2.10×10^-7; BMI: P = 5.67×10^-4) and squamous cell lung cancer (smoking: P = 5.02×10^-6; BMI: P = 2.03×10^-7). Multivariate MR analysis found that smoking and education were independent risk factors for overall lung cancer (smoking: P = 1.96×10^-7; education: P = 3.11×10^-3), while smoking was an independent risk factor for squamous cell lung cancer (P = 2.35×10^-6). Smoking, education, and household income mediate the effect of BMI on overall lung cancer (smoking 50.0%, education 49.2%, income 25.3%) and squamous cell lung cancer (smoking 34.8%, education 30.8%, income 21.2%). Smoking, education, and BMI mediate the effect of income on overall lung cancer (smoking 13.9%, education 54.8%, BMI 9.4%) and squamous cell lung cancer (smoking 12.6%, education 63.3%, BMI 11.6%). Smoking, BMI, and income mediate the effect of education on squamous cell lung cancer (smoking 24.0%, BMI 6.2%, income 19.4%).

Conclusion

Income, education, BMI, and smoking are causally associated with both overall lung cancer and squamous cell lung cancer. Smoking and education are independent association factors for overall lung cancer, while smoking is an independent association factor for squamous cell lung cancer. Smoking and education also play important mediating roles in overall lung cancer and squamous cell lung cancer. No causal relationship was found between multiple risk factors associated with socioeconomic status and lung adenocarcinoma.

Early recurrence factors in patients with stage III non-small cell lung cancer treated with concurrent chemoradiotherapy

BACKGROUND

The clinical characteristics and risk factors for cancer recurrence have not been well evaluated regarding early recurrence in patients with unresectable locally advanced non-small cell lung cancer (LA-NSCLC) who receive concurrent chemoradiotherapy (CRT). The aim of this study was to determine the clinical characteristics and risk factors of patients with stage III unresectable LA-NSCLC treated with CRT who developed early recurrence.

METHODS

We retrospectively reviewed the clinical records of 46 patients diagnosed with stage III unresectable LA-NSCLC treated with CRT at our center between July 2012 and July 2021. A tumor proportion score (TPS) < 50% was defined as "low expression" and a TPS > 50% was defined as "high expression."

RESULTS

A total of 17 (37.0%) patients had a confirmed recurrence within 1 year of treatment. More patients had a lower body mass index in the early recurrence group than in the later recurrence group (p = 0.038). A higher number of patients in the late recurrence group underwent surgery after CRT (p = 0.036). Patients with a higher TPS were more likely to experience late recurrence than early recurrence (p = 0.001), whereas more patients with stage N3 disease were in the early recurrence group (p = 0.011). Multivariate analysis identified lower TPS expression as an independent risk factor for early recurrence after CRT. Overall survival was prolonged in the late recurrence group (p < 0.001).

CONCLUSIONS

A lower TPS may be a predictor of early recurrence after CRT in patients with LA-NSCLC. These patients should be closely monitored for post-treatment recurrence.

CoxMKF: a knockoff filter for high-dimensional mediation analysis with a survival outcome in epigenetic studies

MOTIVATION

It is of scientific interest to identify DNA methylation CpG sites that might mediate the effect of an environmental exposure on a survival outcome in high-dimensional mediation analysis. However, there is a lack of powerful statistical methods that can provide a guarantee of false discovery rate (FDR) control in finite-sample settings.

RESULTS

In this article, we propose a novel method called CoxMKF, which applies aggregation of multiple knockoffs to a Cox proportional hazards model for a survival outcome with high-dimensional mediators. The proposed CoxMKF can achieve FDR control even in finite-sample settings, which is particularly advantageous when the sample size is not large. Moreover, our proposed CoxMKF can overcome the randomness of the unstable model-X knockoffs. Our simulation results show that CoxMKF controls FDR well in finite samples. We further apply CoxMKF to a lung cancer dataset from The Cancer Genome Atlas (TCGA) project with 754 subjects and 365 306 DNA methylation CpG sites, and identify four DNA methylation CpG sites that might mediate the effect of smoking on the overall survival among lung cancer patients.

AVAILABILITY AND IMPLEMENTATION

The R package CoxMKF is publicly available at https://github.com/MinhaoYaooo/CoxMKF.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

ATP5O Hypo-crotonylation Caused by HDAC2 Hyper-Phosphorylation Is a Primary Detrimental Factor for Downregulated Phospholipid Metabolism under Chronic Stress

Objective. Chronic stress (CS)-induced abnormal metabolism and other subsequent aspects of abnormality are threatening human health. Little is known regarding whether and how protein post-translational-modifications (PTMs) correlate with abnormal metabolism under CS. The aim of this study was to address this issue and also identify novel key protein PTM. Methods. First, we screened which pan-PTM had significant change between control and CS female mice and whether clinical CS females had similar pan-PTM change. Second, we performed quantitative PTM-omics and metabolomics to verify the correlation between abnormal protein PTMs and atypical metabolism. Third, we performed quantitative phospho-omics to identify the key PTM-regulating enzyme and investigate the interaction between PTM protein and PTM-regulating enzyme. Fourth, we attempted to rectify the abnormal metabolism by correcting the activity of the PTM-regulating enzyme. Finally, we examined whether the selected key protein was also correlated with stress scores and atypical metabolism in clinical women. Results. We initially found that multiple tissues of CS female mice have downregulated pan-crotonylation, and verified that the plasma of clinical CS females also had downregulated pan-crotonylation. Then we determined that ATP5O-K51 crotonylation decreased the most and also caused gross ATP5O decrement, whereas the plasma of CS mice had downregulated phospholipids. Next, downregulating ATP5O crotonylation partially recapitulated the downregulated phospholipid metabolism in CS mice. Next, we verified that HDAC2-S424 phosphorylation determined its decrotonylation activity on ATP5O-K51. Furthermore, correcting HDAC2 hyper-phosphorylation recovered the gross ATP5O level and partially rescued the downregulated phospholipid metabolism in CS mice. Finally, the ATP5O level was also significantly lower and correlated with high stress scores and downregulated phospholipid metabolism in clinical female plasma. Conclusion. This study discovered a novel PTM mechanism involving two distinct types of PTM in CS and provided a novel reference for the clinical precautions and treatments of CS.

Impact of sarcopenia on the prognosis and treatment of lung cancer: an umbrella review

BACKGROUND

Lung cancer is the leading cause of cancer-related mortality worldwide. Sarcopenia, defined as the loss of muscle mass and function, is known to cause adverse health outcomes. The purpose of this umbrella review was to integrate published systematic reviews and meta-analyses exploring sarcopenia and lung cancer to provide comprehensive knowledge on their relationship.

METHODS

Eligible studies were searched from scientific databases until June 28, 2022. Critical appraisal was performed using A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2. The impact of sarcopenia on the pathophysiology, prevalence, and prognosis of lung cancer is summarized at the level of systematic reviews or meta-analyses.

RESULTS

Fourteen reviews and meta-analyses were conducted. The methodological quality was high for one review, low for nine, and critically low for four. The most common standard for diagnosing sarcopenia in the lung cancer population is computed tomography (CT) to measure the skeletal muscle index at the third lumbar vertebra (L3). Sarcopenia was highly prevalent among patients with lung cancer, with a pooled prevalence ranging from 42.8% to 45.0%. The association between sarcopenia and increased postoperative complications and decreased disease control rates with immune checkpoint inhibitors has been demonstrated. Mortality was significantly higher in sarcopenic patients than in non-sarcopenic patients with lung cancer, regardless of the stage of disease or type of treatment.

CONCLUSIONS

Sarcopenia is a poor prognostic factor for lung cancer. Future studies are necessary to clarify the pathophysiology of sarcopenia and develop effective interventions for sarcopenia in patients with lung cancer.

Construction of Brain Metastasis Prediction Model and Optimization of Prophylactic Cranial Irradiation Selection for Limited-Stage Small-Cell Lung Cancer

Prophylactic cranial irradiation (PCI), as an essential part of the treatment of limited-stage small-cell lung cancer (LS-SCLC), inevitably leads to neurotoxicity. This study aimed to construct a brain metastasis prediction model and identify low-risk patients to avoid PCI; 236 patients with LS-SCLC were retrospectively analyzed and divided into PCI (63 cases) and non-PCI groups (173 cases). The nomogram was developed based on variables determined by univariate and multivariate analyses in the non-PCI group. According to the cutoff nomogram score, all patients were divided into high- and low-risk cohorts. A log-rank test was used to compare the incidence of brain metastasis between patients with and without PCI in the low-risk and high-risk groups, respectively. The nomogram included five variables: chemotherapy cycles (ChT cycles), time to radiotherapy (RT), lactate dehydrogenase (LDH), pro-gastrin-releasing peptide precursor (ProGRP), and lymphocytes−monocytes ratio (LMR). The area under the receiver operating characteristics (AUC) of the nomogram was 0.763 and 0.782 at 1 year, and 0.759 and 0.732 at 2 years in the training and validation cohorts, respectively. Based on the nomogram, patients were divided into high- and low-risk groups with a cutoff value of 165. In the high-risk cohort, the incidence of brain metastasis in the non-PCI group was significantly higher than in the PCI group (p < 0.001), but there was no difference in the low-risk cohort (p = 0.160). Propensity score-matching (PSM) analysis showed similar results; the proposed nomogram showed reliable performance in assessing the individualized brain metastasis risk and has the potential to become a clinical tool to individualize PCI treatment for LS-SCLC.

Obesity accelerates immune evasion of non-small cell lung carcinoma via TFEB-dependent upregulation of Siglec-15 and glycolytic reprogramming

Although obesity contributes to tumor incidence and progression in various cancers, whether obesity impacts the tumor microenvironment (TME) of non-small cell lung cancer (NSCLC) remains largely under-explored. We generated NSCLC xenograft model in diet-induced obese mice and identified that TFEB is critical to accelerate obesity-related NSCLC progression with mimic intrinsic functions on tumor biology. Mechanically, TFEB binds directly to Siglec-15 promoter to upregulate Siglec-15 expression and binds to Hk2 and Ldha promoters to enhance glycolytic flux in NSCLC cells, which restrain the expansion and cytotoxic function of CD8⁺ T cells while maintain suppressive Treg cells in TME, jointly promoting immune evasion of NSCLC cells in obesity. Blocking tumor TFEB improves the therapeutic efficiency of anti-PD-1 in obese mice. Altogether, our data identify essential roles of TFEB in remodeling immunosuppressive TME and promoting NSCLC development in obesity, providing scientific rational for TFEB as a potential biomarker to predict immune checkpoint blockade efficiency in obese NSCLC patients.

Lung Cancer Absolute Risk Models for Mortality in an Asian Population using the China Kadoorie Biobank

BACKGROUND

Lung cancer is the leading cause of cancer mortality globally. Early detection through risk-based screening can markedly improve prognosis. However, most risk models were developed in North American cohorts of smokers, whereas less is known about risk profiles for never-smokers, which represent a growing proportion of lung cancers, particularly in Asian populations.

METHODS

Based on the China Kadoorie Biobank, a population-based prospective cohort of 512 639 adults with up to 12 years of follow-up, we built Asian Lung Cancer Absolute Risk Models (ALARM) for lung cancer mortality using flexible parametric survival models, separately for never and ever-smokers, accounting for competing risks of mortality. Model performance was evaluated in a 25% hold-out test set using the time-dependent area under the curve and by comparing model-predicted and observed risks for calibration.

RESULTS

Predictors assessed in the never-smoker lung cancer mortality model were demographics, body mass index, lung function, history of emphysema or bronchitis, personal or family history of cancer, passive smoking, and indoor air pollution. The ever-smoker model additionally assessed smoking history. The 5-year areas under the curve in the test set were 0.77 (95% confidence interval = 0.73 to 0.80) and 0.81 (95% confidence interval = 0.79 to 0.84) for ALARM-never-smokers and ALARM-ever smokers, respectively. The maximum 5-year risk for never and ever-smokers was 2.6% and 12.7%, respectively.

CONCLUSIONS

This study is among the first to develop risk models specifically for Asian populations separately for never and ever-smokers. Our models accurately identify Asians at high risk of lung cancer death and may identify those with risks exceeding common eligibility thresholds who may benefit from screening.

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

BACKGROUND

Systemic inflammation and handgrip weakness have been used to predict mortality in many cancers. The purpose of current study was to evaluate the association of co-occurrence of inflammation indicators and handgrip weakness with overall survival (OS) of lung cancer (LC) patients with good performance status.

METHODS

The cutoff points for handgrip strength (HGS) and the four inflammation indicators were calculated using Maxstat. The time-dependent receiver operating characteristic curve and C-index were used to select optimal inflammation indicator for predicting OS of LC patients. The Cox proportional hazard regression model was used to calculate the hazard ratio (HR) of mortality. Kaplan-Meier curves were constructed to evaluate the association of indicators and the OS of LC patients.

RESULTS

Among the 1951 patients, the mean ± standard deviation (SD) age was 60.6 ± 9.9 years, and 1300 (66.6%) patients were male. In patients with good performance status (PS), handgrip weakness (HR, 1.49; 95% confidence interval [95% CI], 1.30-1.70, p < 0.001) and low advanced lung cancer inflammation index (ALI) (HR, 2.05; 95%CI, 1.79-2.34, p < 0.001), high systemic immune-inflammation index (SII) (HR, 1.91; 95%CI, 1.66-2.19, p < 0.001), high platelet: lymphocyte ratio (PLR) (HR, 1.60; 95%CI, 1.40-1.82, p < 0.001), or high neutrophil: lymphocyte ratio (NLR) (HR, 2.01; 95%CI, 1.76-2.30, p < 0.001) were associated with increased mortality risk of LC patients. ALI had better C-index (0.624) and time-AUC in the prediction of OS in LC patients with good PS than other three combinations. The co-occurrence of handgrip weakness and low ALI more than doubled the risk of death in LC with good PS (HR, 2.44; 95% CI, 2.06-2.89, p < 0.001).

CONCLUSION

In LC patients who have good PS, patients with combined handgrip weakness and low ALI have the worst prognosis.

THE TRIAL REGISTRATION NUMBER

ChiCTR1800020329.

Metabolic Obesity Phenotypes and Risk of Lung Cancer: A Prospective Cohort Study of 450,482 UK Biobank Participants

(1) Background: The association between metabolic obesity phenotypes and incident lung cancer (LC) remains unclear. (2) Methods: Based on the combination of baseline BMI categories and metabolic health status, participants were categorized into eight groups: metabolically healthy underweight (MHUW), metabolically unhealthy underweight (MUUW), metabolically healthy normal (MHN), metabolically unhealthy normal (MUN), metabolically healthy overweight (MHOW), metabolically unhealthy overweight (MUOW), metabolically healthy obesity (MHO), and metabolically unhealthy obesity (MUO). The Cox proportional hazards model and Mendelian randomization (MR) were applied to assess the association between metabolic obesity phenotypes with LC risk. (3) Results: During a median follow-up of 9.1 years, 3654 incident LC patients were confirmed among 450,482 individuals. Compared with participants with MHN, those with MUUW had higher rates of incident LC (hazard ratio (HR) = 3.24, 95% confidence interval (CI) = 1.33–7.87, p = 0.009). MHO and MHOW individuals had a 24% and 18% lower risk of developing LC, respectively (MHO: HR = 0.76, 95% CI = 0.61–0.95, p = 0.02; MHO: HR = 0.82, 95% CI = 0.70–0.96, p = 0.02). No genetic association of metabolic obesity phenotypes and LC risk was observed in MR analysis. (4) Conclusions: In this prospective cohort study, individuals with MHOW and MHO phenotypes were at a lower risk and MUUW were at a higher risk of LC. However, MR failed to reveal any evidence that metabolic obesity phenotypes would be associated with a higher risk of LC.

Racial difference in BMI and lung cancer diagnosis: analysis of the National Lung Screening Trial

Background

The inverse relationship between BMI and lung cancer diagnosis is well defined. However, few studies have examined the racial differences in these relationships. The purpose of this paper is to explore the relationships amongst race, BMI, and lung cancer diagnosis using the National Lung Screening Trial (NLST) data.

Methods

Multivariate regression analysis was used to analyze the BMI, race, and lung cancer diagnosis relationships.

Results

Among 53,452 participants in the NLST cohort, 3.9% were diagnosed with lung cancer, 43% were overweight, and 28% were obese. BMI was inversely related to lung cancer diagnosis among Whites: those overweight (aOR = .83, 95%CI = .75-.93), obese (aOR = .64, 95%CI = .56-.73) were less likely to develop lung cancer, compared to those with normal weight. These relationships were not found among African-Americans.

Conclusion

Our findings indicate that the inverse relationship of BMI and lung cancer risk among Whites is consistent, whereas this relationship is not significant for African-Americans. In consideration of higher lung cancer incidence among African Americans, we need to explore other unknown mechanisms explaining this racial difference.

Naples Prognostic Score is an Independent Prognostic Factor in Patients with Small Cell Lung Cancer and Nomogram Predictive Model Established

Background

The routine clinical nutritional and inflammatory indicators such as serum albumin, total cholesterol and lymphocytes have been widely investigated in the prognosis of small cell lung cancer (SCLC). The Naples prognostic score (NPS), based on nutritional and inflammatory status, has been identified as a prognostic impactor in several malignancies. However, the prognostic role of NPS in SCLC has not been elucidated. This study aims to evaluate the prognostic effect of NPS in SCLC patients.

Patients and Methods

Patients with SCLC were recruited at Hebei General Hospital between April 2015 and August 2021. Pretreatment clinical and laboratory data were obtained. Participants were assigned into three groups according to NPS (group 0: NPS=0, group 1: NPS=1 or 2, group 2: NPS=3 or 4). Kaplan-Meier and Cox regression analysis were performed to assess the prognostic significance of NPS. The RMS package in R software was used to draw the nomogram predictive model.

Results

A total of 128 patients were enrolled. The median progression-free survival (PFS) and overall survival (OS) was 7.2 and 12.3 months, respectively. The median PFS and OS was 12.3 vs 19.8 months, 7.6 vs 14.1 months and 6.0 vs 8.45 months for the three groups respectively. There were significant differences in both OS and FPS among the three groups. Survival analysis showed that NPS was significantly correlated with both OS and PFS (P<0.05). Lower NPS is associated with longer OS and PFS. Multivariate analysis showed that NPS has an independent prognostic impact on OS (P<0.05). The nomogram predictive model showed that NPS has good predictive power for survival rates.

Conclusion

NPS is an independent prognostic factor for OS in SCLC patients. Low NPS may predict longer OS. Therefore NPS plays a vital role in the nomogram predictive model of survival rates in SCLC patients.

C2CD4A/B variants in the predisposition of lung cancer in the Chinese Han population

BACKGROUND

The mRNA levels of C2CD4A and C2CD4B were dysregulation in lung cancer (LC). We aimed to evaluate the role of C2CD4A/B variants in LC susceptibility.

METHODS

There were 710 cases with LC and 710 healthy controls enrolled in the study. The genotyping of twelve variants in C2CD4A/B was carried out by Agena MassARRAY system. Odds ratios (ORs) were calculated by logistic regression analysis to assess the relationship between these variants and LC predisposition.

RESULTS

Rs8037894 (OR = 0.81, p = 0.005), rs7172432 (OR = 0.83, p = 0.013), rs11856307 (OR = 0.86, p = 0.043), and rs1436953 (OR = 0.79, p = 0.002) were related to the reduced risk of LC. Besides, the relation of rs7172432 with LC risk in subjects aged > 60 years was observed. Rs4502156 conferred to the increased LC risk, while rs1436953 was associated with the lower susceptibility to LC among males. Rs731820, rs4502156, rs11071657, rs7172432, and rs11856307 contributed to the predisposition of LC among subjects with BMI > 24 kg/m², while rs7495253 was associated with an increased risk of LC in subjects with BMI ≤ 24 kg/m². The increased LC risk was found in rs4502156, while the protective risk effect of rs8037894, rs7172432, rs11856307, and rs1436953 on the occurrence of LC was observed in smokers and non-drinkers. Moreover, rs7495253 and rs7495931 had a higher risk of lymphatic metastasis. Rs1436953 was related to the reduced risk of lung adenocarcinoma, while rs4502156, rs8037894, rs7172432, rs11856307, and rs1436953 were related to the risk of small cell carcinoma.

CONCLUSIONS

Our results first display that C2CD4A/B polymorphisms served as protective factors for LC predisposition in a Chinese Han population. These findings could provide new biological insight into the understanding of C2CD4A/B genes on LC pathogenesis.

Glucose-Restricted Diet Regulates the Tumor Immune Microenvironment and Prevents Tumor Growth in Lung Adenocarcinoma

Background

Lung cancer is the second common cancer type in western countries and has a high mortality. During the development and progression of the tumor, the nutrients in its environment play a central role. The tumor cells depend crucially on glucose metabolism and uptake. Tumor cell metabolism is dominated by the Warburg effect, where tumor cells produce large amounts of lactate from pyruvate under aerobic conditions. We thus reasoned that, reducing carbohydrates in the diet might support anti-tumoral effects of current immunotherapy and additionally target tumor immune escape.

Objectives

The link between reducing carbohydrates to improve current immunotherapy is not clear. We thus aimed at analyzing the effects of different glucose levels on the tumor development, progression and the anti-tumoral immune response.

Methods

We correlated the clinical parameters of our LUAD cohort with different metabolic markers. Additionally, we performed cell culture experiments with A549 tumor cell line under different glucose levels. Lastly, we investigated the effect of low and high carbohydrate diet in an experimental murine model of lung cancer on the tumor progression and different immune subsets.

Results

Here we found a positive correlation between the body mass index (BMI), blood glucose levels, reduced overall survival (OS) and the expression of Insulin-like growth factor-1 receptor (IGF1R) in the lung tumoral region of patients with lung adenocarcinoma (LUAD). Furthermore, increasing extracellular glucose induced IGF1R expression in A549 LUAD cells. Functional studies in a murine model of LUAD demonstrated that, glucose restricted diet resulted in decreased tumor load in vivo. This finding was associated with increased presence of lung infiltrating cytotoxic CD8+ T effector memory (TEM), tissue resident memory T (TRM) and natural killer cells as well as reduced IGFR mRNA expression, suggesting that glucose restriction regulates lung immunity in the tumor microenvironment.

Conclusions

These results indicate that, glucose restricted diet improves lung immune responses of the host and suppresses tumor growth in experimental lung adenocarcinoma. As glucose levels in LUAD patients were negatively correlated to postoperative survival rates, glucose-restricted diet emerges as therapeutic avenue for patients with LUAD.

MEG3 LncRNA from Exosomes Released from Cancer-Associated Fibroblasts Enhances Cisplatin Chemoresistance in SCLC via a MiR-15a-5p/CCNE1 Axis

PURPOSE

Long non-coding RNAs (lncRNAs) may act as oncogenes in small-cell lung cancer (SCLC). Exosomes containing lncRNAs released from cancer-associated fibroblasts (CAF) accelerate tumorigenesis and confer chemoresistance. This study aimed to explore the action mechanism of the CAF-derived lncRNA maternally expressed gene 3 (MEG3) on cisplatin (DDP) chemoresistance and cell processes in SCLC.

MATERIALS AND METHODS

Quantitative real-time PCR was conducted to determine the expression levels of MEG3, miR-15a-5p, and CCNE1. Cell viability and metastasis were measured by 3-(4, 5-dimethyl-2-thiazolyl)-2, 5-diphenyl-2-h-tetrazolium bromide and invasion assays, respectively. A xenograft tumor model was developed to confirm the effect of MEG3 overexpression on SCLC progression in vivo. Relationships between miR-15a-5p and MEG3/CCNE1 were predicted using StarBase software and validated by dual luciferase reporter assay. Western blotting was used to determine protein levels. A co-culture model was established to explore the effects of exosomes on MEG3 expression in SCLC cell lines.

RESULTS

MEG3 was overexpressed in SCLC tissues and cells. MEG3 silencing significantly repressed cell viability and metastasis in SCLC. High expression of MEG3 was observed in CAF-derived conditioned medium (CM) and exosomes, and promoted chemoresistance and cancer progression. Additionally, MEG3 was found to serve as a sponge of miR-15a-5p to mediate CCNE1 expression. Overexpression of miR-15a-5p and knockout of CCNE1 reversed the effects of MEG3 overexpression on cell viability and metastasis.

CONCLUSION

MEG3 lncRNA released from CAF-derived exosomes promotes DDP chemoresistance via regulation of a miR-15a-5p/CCNE1 axis. These findings may provide insight into SCLC therapy.

Accounting for EGFR Mutations in Epidemiologic Analyses of Non-Small Cell Lung Cancers: Examples Based on the International Lung Cancer Consortium Data

BACKGROUND

Somatic EGFR mutations define a subset of non-small cell lung cancers (NSCLC) that have clinical impact on NSCLC risk and outcome. However, EGFR-mutation-status is often missing in epidemiologic datasets. We developed and tested pragmatic approaches to account for EGFR-mutation-status based on variables commonly included in epidemiologic datasets and evaluated the clinical utility of these approaches.

METHODS

Through analysis of the International Lung Cancer Consortium (ILCCO) epidemiologic datasets, we developed a regression model for EGFR-status; we then applied a clinical-restriction approach using the optimal cut-point, and a second epidemiologic, multiple imputation approach to ILCCO survival analyses that did and did not account for EGFR-status.

RESULTS

Of 35,356 ILCCO patients with NSCLC, EGFR-mutation-status was available in 4,231 patients. A model regressing known EGFR-mutation-status on clinical and demographic variables achieved a concordance index of 0.75 (95% CI, 0.74-0.77) in the training and 0.77 (95% CI, 0.74-0.79) in the testing dataset. At an optimal cut-point of probability-score = 0.335, sensitivity = 69% and specificity = 72.5% for determining EGFR-wildtype status. In both restriction-based and imputation-based regression analyses of the individual roles of BMI on overall survival of patients with NSCLC, similar results were observed between overall and EGFR-mutation-negative cohort analyses of patients of all ancestries. However, our approach identified some differences: EGFR-mutated Asian patients did not incur a survival benefit from being obese, as observed in EGFR-wildtype Asian patients.

CONCLUSIONS

We introduce a pragmatic method to evaluate the potential impact of EGFR-status on epidemiological analyses of NSCLC.

IMPACT

The proposed method is generalizable in the common occurrence in which EGFR-status data are missing.

Extreme leanness, lower skeletal muscle quality, and loss of muscle mass during treatment are predictors of poor prognosis in cervical cancer treated with concurrent chemoradiation therapy

BACKGROUND

Human papillomavirus vaccination is not widespread in Japan, and the low screening rates result in many cases of locally advanced cervical cancer. We investigated the prognostic significance of sarcopenia in patients with cervical cancer to guide healthcare policies to improve treatment outcomes.

METHODS

This retrospective study included 83 patients with cervical cancer without distant metastasis who underwent primary concurrent chemoradiotherapy between 2013 and 2018. We analyzed the indicators of physical condition and muscle quantity using the SYNAPSE VINCENT software. Muscle mass and the relationship between treatment toxicity and prognosis were evaluated.

RESULTS

The patients' median age was 60 (range 33‒80) years. Cancer stage distribution was as follows: cT2b or higher, 84.3%; N1, 65.1%; and MA, 27.7%. The overall sarcopenia (skeletal muscle index [SMI] < 38.5) rate was 30.1%, and the rate was 33.9 and 22.2% in patients aged < 64 and ≥ 65 years, respectively. No correlation was observed between clinical stage and musculoskeletal indices. Treatment resulted in decreased body weight and SMI; after treatment, the sarcopenia rate increased to 37.3%. A higher intramuscular adipose tissue content (IMAC) reduced the number of chemotherapy cycles needed. Treatment-associated SMI decreases of ≥ 7% indicated poor prognosis, with significant differences in progression-free survival and overall survival (p = 0.013 and p = 0.012, respectively). Patients who were very lean (body mass index < 18.5 kg/m²) before treatment had a poor prognosis (p = 0.016 and p < 0.001).

CONCLUSIONS

Our findings emphasize the importance of assessing original nutritional status and maintaining muscle mass and quality during the treatment of patients with cervical cancer.

Multimodal analysis suggests differential immuno-metabolic crosstalk in lung squamous cell carcinoma and adenocarcinoma

Immunometabolism within the tumor microenvironment is an appealing target for precision therapy approaches in lung cancer. Interestingly, obesity confers an improved response to immune checkpoint inhibition in non-small cell lung cancer (NSCLC), suggesting intriguing relationships between systemic metabolism and the immunometabolic environment in lung tumors. We hypothesized that visceral fat and ¹⁸F-Fluorodeoxyglucose uptake influenced the tumor immunometabolic environment and that these bidirectional relationships differ in NSCLC subtypes, lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). By integrating ¹⁸F-FDG PET/CT imaging, bulk and single-cell RNA-sequencing, and histology, we observed that LUSC had a greater dependence on glucose than LUAD. In LUAD tumors with high glucose uptake, glutaminase was downregulated, suggesting a tradeoff between glucose and glutamine metabolism, while in LUSC tumors with high glucose uptake, genes related to fatty acid and amino acid metabolism were also increased. We found that tumor-infiltrating T cells had the highest expression of glutaminase, ribosomal protein 37, and cystathionine gamma-lyase in NSCLC, highlighting the metabolic flexibility of this cell type. Further, we demonstrate that visceral adiposity, but not body mass index (BMI), was positively associated with tumor glucose uptake in LUAD and that patients with high BMI had favorable prognostic transcriptional profiles, while tumors of patients with high visceral fat had poor prognostic gene expression. We posit that metabolic adjunct therapy may be more successful in LUSC rather than LUAD due to LUAD's metabolic flexibility and that visceral adiposity, not BMI alone, should be considered when developing precision medicine approaches for the treatment of NSCLC.

The pharmacoeconomic benefits of pemetrexed dose individualization in lung cancer patients

Neutropenia is a dose-related treatment-limiting and costly adverse event of pemetrexed. We postulate that individualized dosing reduces the incidence of neutropenia. The aims of this study were to 1) investigate the costs of pemetrexed-related neutropenia and 2) to determine the pharmacoeconomic benefits of individualized dosing of pemetrexed in terms of budget impact, yearly cost savings and reduction in severe neutropenia. Retrospective data on the treatment of ≥grade 3 neutropenia during pemetrexed-based chemotherapy were collected from three Dutch hospitals to determine the mean health care consumption during a neutropenic episode. Subsequently, Monte Carlo simulations were performed using a validated pharmacokinetic/pharmacodynamic (PK/PD) model to predict the neutropenia incidence during four cycles for standard dosing of pemetrexed and individualized dosing. The mean costs per neutropenia and the expected neutropenia incidence were combined to calculate the budget impact and cost savings. We found that the average costs per pemetrexed-associated neutropenic episode to be € 1,490. The neutropenia incidence for the standard and individualized pemetrexed dosing strategies were 12.7 and 9.9%, respectively. This resulted in total expected neutropenia-related costs of approximately € 3.0 million and €2.4 million, respectively. Taking the number of patients eligible for pemetrexed treatment into account, individualized dosing could result in saving €686,000 on a yearly basis in the Netherlands alone. Individualized dosing of pemetrexed can decrease the incidence of neutropenia and thus result in a significant decrease in neutropenia-related costs and decreased risk of hospitalization or even death while maintaining therapeutic exposure.

A Low Advanced Lung Cancer Inflammation Index Predicts a Poor Prognosis in Patients With Metastatic Non–Small Cell Lung Cancer

Introduction: Inflammation plays a crucial role in cancers, and the advanced lung cancer inflammation index (ALI) is considered to be a potential factor reflecting systemic inflammation.

Objectives: This work aimed to explore the prognostic value of the ALI in metastatic non–small cell lung cancer (NSCLC) and classify patients according to risk and prognosis.

Methods: We screened 318 patients who were diagnosed with stage IV NSCLC in Hubei Cancer Hospital from July 2012 to December 2013. The formula for ALI is body mass index (BMI, kg/m²) × serum albumin (Alb, g/dl)/neutrophil–lymphocyte ratio (NLR). Categorical variables were analyzed by the chi-square test or Fisher’s exact test. The overall survival (OS) rates were analyzed by the Kaplan–Meier method and plotted with the R language. A multivariate Cox proportional hazard model was used to analyze the relationship between ALI and OS.

Results: According to the optimal cut-off value determined by X-tile software, patients were divided into two groups (the ALI <32.6 and ALI ≥32.6 groups), and the median OS times were 19.23 and 39.97 months, respectively (p < 0.01). A multivariable Cox regression model confirmed that ALI and chemotherapy were independent prognostic factors for OS in patients with NSCLC. OS in the high ALI group was better than that in the low ALI group (HR: 1.39; 95% CI: 1.03–1.89; p = 0.03).

Conclusions: Patients with a low ALI tend to have lower OS among those with metastatic NSCLC, and the ALI can serve as an effective prognostic factor for NSCLC patients.

The Association between Pretreatment anemia and Overall Survival in Advanced Non-small Cell lung Cancer: A Retrospective Cohort Study Using Propensity Score Matching

Background: The purpose of this study was to investigate whether pretreatment anemia was an independent risk factor for survival in patients with advanced non-small cell lung cancer (NSCLC) after adjusting for other covariates. Methods: We used propensity score matching (PSM) to minimize the influence of confounding factors and used χ2 (categorical variables), Student's t-test (normal distribution), or Mann-Whitney U test (skewed distribution) to analyze the differences among the Hb groups. Cox regression and Kaplan-Meier analyses were used to assess the association between anemia and survival. P values < 0.05 (two-sided) were considered statistically significant. Results: The average age of the 758 selected participants was 58.2±11 years, and 210 patients (27.7%) had anemia. In the multivariate analysis, anemia was associated with a poor prognosis in the unmatched cohort (Hazards ratio (HR)=1.3, 95% (confidence interval (CI): 1.1-1.6; p= 0.008), and the matched cohort (HR=1.7, 95% CI: 1.3-2.3; p <0.001), emerging as an independent risk and prognostic factor in advanced NSCLC patients. In the Kaplan-Meier curve, the average survival time of anemic and non-anemic patients was 9.3 months (95% CI: 7.9-11.4 months) vs. 14.1 months (95% CI: 12-16.3 months) (p=0.0073) in the unmatched cohort. After propensity score matching, the average survival time of anemic and non-anemic patients was 10.9 months (95% CI: 8.8-12.9. months) vs. 17.8 months (95% CI: 16.0-23.3 months) (p <0.001). Conclusion: Pretreatment anemia was an independent risk and prognostic factor for survival in patients with advanced NSCLC. Large-scale studies are required to confirm our findings.

Changes in older adults' life space during lung cancer treatment: A mixed methods cohort study

BACKGROUND

Maintenance of function during cancer treatment is important to older adults. Characteristics associated with pretreatment life-space mobility and changes during non-small cell lung cancer (NSCLC) treatment remain unknown.

METHODS

This mixed methods cohort study recruited adults age ≥65 with advanced NSCLC starting palliative chemotherapy, immunotherapy, and/or targeted therapy from a Comprehensive Cancer Center, Veterans Affairs, and safety-net clinic. Patients completed geriatric assessments including Life-Space Assessment (LSA) pretreatment and at 1, 2, 4, and 6 months after treatment initiation. LSA scores range from 0 to 120 (greater mobility); LSA <60 is considered restricted. We used mixed-effects models to examine pretreatment LSA, change from 0 to 1 month, and change from 1 to 6 months. A subgroup participated in semistructured interviews pretreatment and at 2 and 6 months to understand the patient experience of life-space change. For each interview participant, we created joint displays of longitudinal LSA scores juxtaposed with illustrative quotes.

RESULTS

Among 93 patients, median age was 73 (range 65-94). Mean pretreatment LSA score was 67.1. On average, LSA declined 10.1 points from pretreatment to 1 month and remained stable at 6 months. Pretreatment LSA score was associated with several demographic, clinical, geriatric assessment, and symptom characteristics. LSA decline at 1 month was greater among patients with high anxiety (slope = -12.6 vs. -2.3, p = 0.048). Pretreatment body mass index <21 kg/m2 was associated with LSA improvement from 1 to 6 months (slope = 4.1 vs. -0.04, p = 0.003). Joint displays illustrated the impact of different life-space trajectories on patients' lives in their words.

CONCLUSION

Older adults with NSCLC have low pretreatment life space with many developing restricted life space during treatment. Incorporating life-space assessments into clinical cancer care may help older adults concretely visualize how treatment might impact their daily function to allow for informed decision making and identify early changes in mobility to implement supportive interventions.

REVOLUTION (Routine EValuatiOn of people LivIng with caNcer)-Protocol for a prospective characterisation study of patients with incurable cancer

Introduction

There is a pressing need for a holistic characterisation of people with incurable cancer. In this group, where quality of life and improvement of symptoms are therapeutic priorities, the physical and biochemical manifestations of cancer are often studied separately, giving an incomplete picture. In order to improve care, spur therapeutic innovation, provide meaningful endpoints for trials and set priorities for future research, work must be done to explore how the tumour influences the clinical phenotype. Characterisation of the host-tumour interaction may also provide information regarding prognosis, allowing appropriate planning of investigations, treatment and referral to palliative medicine services.

Methods

Routine EValuatiOn of people LivIng with caNcer (REVOLUTION) is a prospective observational study that aims to characterise people with incurable cancer around five key areas, namely body composition, physical activity, systemic inflammatory response, symptoms, and quality of life by developing a bio-repository. Participants will initially be recruited from a single centre in the UK and will have assessments of body composition (bio-impedance analysis [BIA] and computed tomography [CT]), assessment of physical activity using a physical activity monitor, measurement of simple markers of inflammation and plasma cytokine proteins and three symptom and quality of life questionnaires.

Discussion

This study aims to create a comprehensive biochemical and clinical characterisation of people with incurable cancer. Data in this study can be used to give a better understanding of the ‘symptom phenotype’ and quality of life determinants, development of a profile of the systemic inflammatory response and a detailed characterisation of body composition.

Higher body mass index indicated better overall survival in pancreatic ductal adenocarcinoma patients: a real-world study of 2010 patients

BACKGROUND

The association between body mass index (BMI) and the overall survival (OS) of pancreatic ductal adenocarcinoma (PDAC) patients remains controversial and unclear, METHOD: A total of 2010 patients from a high-volume center were enrolled in the study. The OS of PDAC patients was evaluated based on restricted cubic spline (RCS), propensity score (PS) and multivariable risk adjustment analyses.

RESULT

BMI was linearly related to the OS (total P = 0.004, nonlinear P = 0.124). BMI was analyzed as categorical data based on X-tile software-defined cutoffs and World Health Organization (WHO)-recommended cutoffs. Adjusted with confounding covariates, higher BMI manifested as a positive prognostic predictor. Furthermore, BMI was proven to be associated with the OS in the PS analysis. (UnderweightXtile vs. NormalXtileP = 0.003, OverweightXtile vs. NormalXtileP = 0.019; UnderweightWHO vs. NormalWHOP < 0.001, OverweightWHO vs. NormalWHOP = 0.024). It was also revealed that patients with higher BMI benefitted more from chemotherapy. (Adjusted hazard ratio (aHR): UnderweightXtile vs. NormalXtile vs. OverweightXtile: 0.565 vs. 0.474 vs. 0.409; UnderweightWHO vs. NormalWHO vs. OverweightWHO: 0.613 vs. 0.464 vs. 0.425).

CONCLUSION

Among PDAC patients, there was a positive association between BMI and the OS, especially in patients treated with chemotherapy.