Advanced Lung Cancer Inflammation Index Predicts Outcomes of Patients With Colorectal Cancer After Surgical Resection

Kusunoki, Kurando; Toiyama, Yuji; Okugawa, Yoshinaga; Yamamoto, Akira; Omura, Yusuke; Ohi, Masaki; Araki, Toshimitsu; Kusunoki, Masato

doi:10.1097/dcr.0000000000001658

Cited by 35 publications

(37 citation statements)

References 35 publications

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“…ALI was originally used to assess the prognosis of lung cancer patients, such as non-small cell lung cancer 28 and small cell lung cancer. 29 Soon after, researchers found that ALI is also a good independent prognostic indicator in nasopharyngeal carcinoma, 30 head and neck squamous cell carcinoma, 31 32 esophageal cancer, 32 gastric cancer, 21,33 colorectal cancer, 34,35 melanoma, 36 and diffuse large B-cell lymphoma. 37 ALI is an index related to inflammation and nutritional status.…”

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confidence: 99%

Association of Systemic Inflammation and Overall Survival in Elderly Patients with Cancer Cachexia – Results from a Multicenter Study

Ruan¹,

Yang²,

Zhang³

et al. 2021

JIR

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Background: Systemic inflammation and cachexia are associated with adverse clinical outcomes in elderly patients with cancer. The survival outcomes of elderly patients with cancer cachexia (EPCC) with high inflammation and a high risk of mortality are unknown. This study aimed to investigate the impact of high inflammation on the prognosis of EPCC patients with high mortality. Patients and Methods: This multicenter cohort study included 746 EPCC (age >65 years) with a mean age of 72.00 ± 5.24 years, of whom 489 (65.5%) were male. The cut-off value for the inflammation index was obtained using the optimal survival curve. The different inflammatory indicators were assessed using the concordance index (C-index), decision curve analysis (DCA), and prognostic receiver operating characteristic (ROC). The high mortality risk group of EPCC was defined by the 2011 Fearon Cancer Diagnostic Consensus. EPCC were divided into the high-risk group, which satisfies three diagnostic criteria, and a low-risk group, which satisfies only one or two diagnostic criteria. Results: The C-index, DCA, and prognostic ROC indicated the superiority of advanced lung cancer inflammation index (ALI) compared with other indicators, including neutrophillymphocyte ratio (NLR), prognostic nutritional index (PNI), systemic immuneinflammation index (SII), and platelet-lymphocyte ratio (PLR). Whether ALI was used as a continuous or a categorical variable, ALI had a better prognostic value in EPCC compared with other inflammatory indicators. In particular, patients with low ALI (<25.03) had a worse overall survival (OS) than patients with high ALI (≥25.03) (P < 0.001, HR [95% CI] = 2. 092 [1.590-2.751]). The combination effect analysis showed that the risk of mortality of the patients in the low-ALI and high-risk groups was 3.095-fold higher than that of patients in the high-ALI and low-risk groups. Conclusion:The prognostic and discriminative value of the inflammatory indicator ALI was better than that of NLR, PNI, SII, and PLR in EPCC. The high-risk group of EPCC with a low ALI would increase the death risk of OS.

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confidence: 99%

Association of Systemic Inflammation and Overall Survival in Elderly Patients with Cancer Cachexia – Results from a Multicenter Study

Ruan¹,

Yang²,

Zhang³

et al. 2021

JIR

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“…The novel inflammation-related marker ALI was first evaluated as a powerful prognostic index for metastatic non-small cell lung cancer. 11 The ALI combines BMI, ALB, and NLR (BMI × ALB/NLR), all of which play pivotal roles in nutritional, immune, and systemic inflammation 12,30 Previous studies have reported that the ALI is associated with non-small cell lung cancer, 11 esophageal squamous carcinoma, 17 colorectal cancer, 15 and diffuse large B-cell lymphoma. 16 A low ALI based on a decreased BMI, lower ALB, and/or high NLR indicates a high level of systemic inflammation.…”

Section: Discussionmentioning

confidence: 99%

“…13,14 Several studies have also reported associations between low ALI and clinical outcomes in patients with a variety of malignancies. 11,[15][16][17] However, to our knowledge, no study has assessed the diagnostic utility of the ALI for CAD or CAC.…”

Section: Introductionmentioning

confidence: 99%

Nomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification

Fan

Zhang

Liu

et al. 2021

Clin Appl Thromb Hemost

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Aim To develop and validate 3 nomograms incorporating the advanced lung cancer inflammation index (ALI) that can aid in predicting the risk of coronary artery disease (CAD) and coronary artery calcification (CAC). Methods The study enrolled 562 consecutive patients with suspected CAD who underwent coronary computed tomographic angiography between September 2015 and June 2017. Independent risk factors for CAD, CAC, and CAD with CAC were identified via univariate and multivariate analysis, and nomograms were established based on the independent predictors identified. The area under the curve (AUC), calibration curve, and decision curve analysis were used to evaluate the nomograms. Correlations between ALI and other clinical indicators were examined via Spearman correlation analysis. Results In total, 549 patients with suspected CAD who underwent coronary computed tomographic angiography were included. Male sex, hypertension, diabetes, dyslipidemia, ischemic stroke, and ALI were independent predictors of both CAD and CAC. Male sex, hypertension, diabetes, dyslipidemia, and ALI were also identified as independent predictors of CAD with CAC. The AUC values for the nomograms developed using these risk factors were 0.739 (95% confidence interval [CI], 0.693-0.785), 0.728 (95% CI, 0.684-0.772), and 0.717 (95% CI 0.673-0.761), respectively. ALI was negatively correlated with neutrophil-to-lymphocyte ratio and CAC score and positively correlated with serum albumin levels and body mass index (all P < .05). Conclusions ALI is an independent predictor of CAD, CAC, and CAD with CAC. Our ALI-based nomograms can provide accurate and individualized risk predictions for patients with suspected CAD.

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“…ALI was calculated as BMI (kg/m 2 ) ×ALB (g/dL) ÷ NLR. 8 Preoperative serum carcinoembryonic antigen (CEA), squamous cell carcinoma antigen (SCC), cytokeratin-19 fragment (CYFRA 21-1), and neuron-specific enolase (NSE) levels were measured by enzyme immunoassays at the same hospital laboratory.…”

Section: Methodsmentioning

confidence: 99%

“…The prognostic accuracy of ALI has been tested in patients with different malignancies including lung cancer. 7 – 9 Non-small cell lung cancer (NSCLC) is the most common type of lung cancer. 10 However, the prognostic significance of ALI has not been adequately investigated in patients with NSCLC following video-assisted thoracic surgery (VATS) as the resection technique, especially patients at stage III.…”

Section: Introductionmentioning

confidence: 99%

The advanced lung cancer inflammation index predicts outcomes of patients with non-small cell lung cancer following video-assisted thoracic surgery

Han

Zhao

et al. 2021

J Int Med Res

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Objective The advanced lung cancer inflammation index (ALI) predicts overall survival (OS) in patients with advanced lung cancer. However, few studies have tested ALI’s prognostic effect in patients with non-small cell lung cancer (NSCLC) following video-assisted thoracic surgery (VATS), especially patients at stage III. This study investigated the relationship between ALI and outcomes of patients with NSCLC following VATS. Methods We retrospectively examined 339 patients with NSCLC who underwent VATS at Hebei General Hospital, China. Preoperative clinical and laboratory parameters were collected and analyzed. Optimal cutoff values of potential prognostic factors, including ALI, were determined. Kaplan–Meier and Cox regression analyses were used to determine each factor’s prognostic value. Results The median OS was 31 months. The optimal cutoff value for ALI was 41.20. Patients with high ALI (≥41.20) displayed increased OS (33.87 vs. 30.24 months), higher survival rates, and milder clinical characteristics. Univariate and multivariate analyses showed a significant correlation between ALI and the prognosis of patients with NSCLC, including those at stage IIIA, who underwent VATS. Conclusions Low ALI correlated with poor outcomes in patients with NSCLC following VATS. Preoperative ALI might be a potential prognostic biomarker for patients with NSCLC following VATS, including patients at stage IIIA.

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Advanced Lung Cancer Inflammation Index Predicts Outcomes of Patients With Colorectal Cancer After Surgical Resection

Cited by 35 publications

References 35 publications

Association of Systemic Inflammation and Overall Survival in Elderly Patients with Cancer Cachexia – Results from a Multicenter Study

Association of Systemic Inflammation and Overall Survival in Elderly Patients with Cancer Cachexia – Results from a Multicenter Study

Nomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification

The advanced lung cancer inflammation index predicts outcomes of patients with non-small cell lung cancer following video-assisted thoracic surgery

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