Associations between pretreatment nutritional assessments and treatment complications in patients with stage I-III non-small cell lung cancer: A systematic review

Dietary Counseling Outcomes in Patients with Lung Cancer in an Upper-Middle-Income Country: An Open-Label Randomized Controlled Trial

Background: Malnutrition harms treatment outcomes, QoL, and survival in lung cancer patients. Effective dietary counseling can improve nutrition, but few randomized controlled trials have focused on lung cancer patients. The objective of this study was to determine if dietary counseling improves nutritional and treatment outcomes when compared to routine care. Methods: This open-label parallel RCT was conducted at Maharaj Nakorn Chiang Mai Hospital in Thailand. The investigators used computer-generated blocked randomization to assign patients to dietary counseling by a nutritionist or routine care. The nutritionist sessions occurred before treatment, with follow-ups at 3-4 weeks and 12 weeks. The primary outcome was the mean percentage change in the body weight of patients at 12 weeks. Secondary outcomes included changes in the BMI, nutrition score, QoL, serum albumin level, lymphocyte count, energy and protein intake, treatment response, PFS, and OS. Results: Between April 2020 and May 2022, after completing recruitment, 80 lung cancer patients were randomized: 43 to dietary counseling and 37 to routine care. The dietary counseling group showed significant benefits, with smaller decreases in body weight at 3-4 weeks (-0.8% vs. -2.6%, p = 0.05) and 12 weeks (-1.1% vs. -4.3%, p = 0.05). They also had higher energy and protein intake levels and better treatment response rates. The secondary outcomes and significant adverse events did not differ significantly between the groups. Conclusions: Dietary counseling helps to maintain body weight, maintain dietary intake, and enhance treatment responses in lung cancer patients. Although not all nutritional markers or survival outcomes were affected, these findings highlight the importance of early nutritional interventions.

Influence of abdominal fat distribution and inflammatory status on post-operative prognosis in non-small cell lung cancer patients: a retrospective cohort study

PURPOSE

To evaluate the influence of visceral fat area (VFA), subcutaneous fat area (SFA), the systemic immune-inflammation index (SII) and total inflammation-based systemic index (AISI) on the postoperative prognosis of non-small cell lung cancers (NSCLC) patients.

METHODS

266 NSCLC patients received surgery from two academic medical centers were included. To assess the effect of abdominal fat measured by computed tomography (CT) imaging and inflammatory indicators on patients' overall survival (OS) and progression-free survival (PFS), Kaplan-Meier survival analysis and Cox proportional hazards models were used.

RESULTS

Kaplan-Meier analysis showed the OS and PFS of patients in high-VFA group was better than low-VFA group (p < 0.05). AISI and SII were shown to be risk factors for OS and PFS (p < 0.05) after additional adjustment for BMI (Cox regression model II). After further adjustment for VFA (Cox regression model III), low-SFA group had longer OS (p < 0.05). Among the four subgroups based on VFA (high/low) and SFA (high/low) (p < 0.05), the high-VFA & low-SFA group had the longest median OS (108 months; 95% CI 74-117 months) and PFS (85 months; 95% CI 65-117 months), as well as the lowest SII and AISI (p < 0.05). Low-SFA was a protective factor for OS with different VFA stratification (p < 0.05).

CONCLUSION

VFA, SFA, SII and AISI may be employed as significant prognostic markers of postoperative survival in NSCLC patients. Moreover, excessive SFA levels may encourage systemic inflammation decreasing the protective impact of VFA, which may help to provide targeted nutritional support and interventions for postoperative NSCLC patients with poor prognosis.

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.

Evidence base for exercise prehabilitation suggests favourable outcomes for patients undergoing surgery for non-small cell lung cancer despite being of low therapeutic quality: a systematic review and meta-analysis

OBJECTIVE

The aim of this systematic review was to evaluate whether exercise prehabilitation programs reduce postoperative complications, postoperative mortality, and length of hospital stay (LoS) in patients undergoing surgery for non-small cell lung cancer (NSCLC), thereby accounting for the quality of the physical exercise program.

METHODS

Two reviewers independently selected randomized controlled trials (RCTs) and observational studies and assessed them for methodological quality and therapeutic quality of the exercise prehabilitation program (i-CONTENT tool). Eligible studies included patients with NSCLC performing exercise prehabilitation and reported the occurrence of 90-day postoperative complications, postoperative mortality, and LoS. Meta-analyses were performed and the certainty of the evidence was graded (Grading of Recommendations Assessment, Development and Evaluation (GRADE)) for each outcome.

RESULTS

Sixteen studies, comprising 2,096 patients, were included. Pooled analyses of RCTs and observational studies showed that prehabilitation reduces postoperative pulmonary complications (OR 0.45), postoperative severe complications (OR 0.51), and LoS (mean difference -2.46 days), but not postoperative mortality (OR 1.11). The certainty of evidence was very low to moderate for all outcomes. Risk of ineffectiveness of the prehabilitation program was high in half of the studies due to an inadequate reporting of the dosage of the exercise program, inadequate type and timing of the outcome assessment, and low adherence.

CONCLUSION

Although risk of ineffectiveness was high for half of the prehabilitation programs and certainty of evidence was very low to moderate, prehabilitation seems to result in a reduction of postoperative pulmonary and severe complications, as well as LoS in patients undergoing surgery for NSCLC.

Comparison of the geriatric nutritional risk index and the prognostic nutritional index in determining survival outcome in patients with non-small cell lung cancer undergoing surgical resection: A cohort study

To assess the clinical feasibility of the geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI) as determinants of survival in patients with stage I to III non-small cell lung cancer (NSCLC). This retrospective study included patients with stage I to III NSCLC from all age groups. Hazard ratios (HRs) for overall survival (OS), cancer-specific survival (CSS), and relapse-free survival (RFS) were calculated using the Cox regression analysis. The concordance index (C-index) of the models was evaluated following the establishment of the prognostic models for survival. The median patient age was 69 years, and 64.6% of the patients were male. In total, 172 (65.4%) patients were classified as having stage I disease, 52 (19.8%) as stage II disease, and 39 (14.8%) as stage III disease. Using multivariate Cox regression analysis, the HRs of GNRI for OS, CSS, and RFS were 0.37 (P = .003), 0.47 (P = .041), and 0.38 (P < .001), respectively. However, the HRs of the PNI for survival outcomes were not statistically significant. Overall, age, sex, tumor-node-metastasis (TNM) stage, pleural invasion (PI), and GNRI were significant determinants of OS and constituted the OS model (concordance index [C-index], 0.824). In addition, age, TNM stage, PI, and GNRI were significant determinants of CSS and constituted the CSS model (C-index, 0.828). Finally, TNM stage, PI, lymphatic invasion, and GNRI were significant determinants of RFS and constituted the RFS model (C-index, 0.783). Our study showed that GNRI, but not PNI, was a predictor of OS, CSS, and RFS in patients with stage I-III NSCLC across all age groups. Excellent discriminant power was observed for OS, CSS, and RFS models.

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.

Pre-Treatment CRP-Albumin-Lymphocyte Index (CALLY Index) as a Prognostic Biomarker of Survival in Patients with Epithelial Ovarian Cancer

Background

The novel CRP–albumin–lymphocyte (CALLY) index is an improved immunonutritive scoring system, based on serum C-reactive protein (CRP), serum albumin, and the lymphocyte count. It has been determined as a prognostic index for patients with hepatocellular carcinoma. This study was conducted to explore the prognostic value of the CALLY index in patients with epithelial ovarian cancer (EOC) undergoing surgery.

Methods

Patients with EOC treated with surgery as an initial therapy were enrolled to form the training and validation cohorts. The effect of the CALLY index on overall survival (OS) and disease-free survival (DFS) was analyzed using Kaplan–Meier method and Cox proportional hazards model. The CALLY index was calculated as: (Albumin × Lymphocyte)/ (CRP × 10⁴).

Results

There were 190 patients in the training cohort and 120 in the validation cohort, respectively. With a cut-off value of 3, patients were classified into the CALLY <3 and CALLY ≥3 groups. The CALLY index ≥3 was associated with better survival outcomes both in the training and validation cohorts. The univariate and multivariate COX analysis revealed that FIGO stage, lymphatic metastasis, and CALLY index were the prognostic factors for both OS and DFS.

Conclusion

The CALLY index is a novel prognostic biomarker for patients with EOC after surgery. The novel CALLY index could select appropriate patients with poor prognosis for postoperative adjuvant therapy.

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

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

Cancer, Phase Angle and Sarcopenia: The Role of Diet in Connection with Lung Cancer Prognosis

Lung cancer is the most common cause of cancer death and is associated with malnutrition and sarcopenia. The detection of sarcopenia and conduction of simple body composition measurements, such as the phase angle (PhA) deriving from bioelectrical impedance analysis (BIA), can help to early identify, monitor, prevent and treat malnutrition. The present review aims to clarify the relationship between PhA and sarcopenia with the pathophysiology, clinical outcomes, and therapeutic aspects of lung cancer. PhA and sarcopenia are connected to lung cancer prognosis through various mechanisms including inflammation and oxidative stress, although more research is needed to identify the critical thresholds for increased mortality risk. Moreover, emphasis is given on the role of dietary interventions (oral nutritional supplementation, and dietary counseling) to manage sarcopenia and related variables in patients with lung cancer. Oral nutritional supplements and/or those containing n - 3 polyunsaturated fatty acids may have a positive effect on physical strength measures and muscle mass if administered at the beginning of chemotherapy. Data on sole dietary counseling or multimodal interventions are less promising so far. In the future, sophisticated body composition phenotypes deriving from the described methods along with artificial intelligence techniques could be used to design personalized nutrition interventions and timely treat these patients.