Evidence map›Paper›PMID 33469361›Full record

ArticleCancer management and research2021

The Predictive Significance of the Advanced Lung Cancer Inflammation Index (ALI) in Patients with Melanoma Treated with Immunotherapy as Second-Line Therapy.

Xi Cheng, Yong Dong, Fang Lou

Abstract read
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Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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13citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xi Cheng *Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Yong Dong *Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Fang LouDepartment of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe advanced lung cancer inflammation index (ALI) is a useful tool to predict the clinical outcome in several malignancies. The ALI not only contains indices related to inflammation but also the body mass index (BMI), which was reported to correlate with the sarcopenic status. However, to date, its predictive significance in metastatic melanoma patients treated with second-line immunotherapy has not been evaluated.

methodsWe retrospectively analyzed data from patients who were diagnosed with metastatic melanoma and treated with immunotherapy as second-line therapy between 2016 and 2019. Weight, height, neutrophil, lymphocyte and serum albumin were collected at baseline prior to receiving immunotherapy. The BMI was calculated by dividing the weight by height squared. The neutrophil-to-lymphocyte ratio (NLR) was calculated by dividing the absolute neutrophil count by the absolute lymphocyte count. The ALI was defined as follows: ALI=BMI×serum albumin/NLR. The receiver operator curve (ROC) was used to determine the best cutoff value for ALI in predicting disease control (consisting of complete response, partial response and stable disease). The aim of this study was to investigate whether the ALI is a predictive indicator for progression-free survival in melanoma patients.

resultsForty-three patients were included in this retrospective cohort study. By ROC, ALI>50.98 before immunotherapy was predictive of disease control. Baseline continuous variables, such as BMI, NLR, C-reactive protein and C-reactive protein-to-albumin ratio, had significantly worse scores in patients of the low-ALI group (n=24) than high-ALI group (n=19). The median progression-free survival was significantly worse in the patients with ALI<50.98 than the patients with ALI>50.98 (2.60 months vs 11.17 months, P = 0.023, hazard ratio: 2.241, 95% confidence interval: 1.167-5.097).

conclusionThe advanced lung cancer inflammation index (ALI) >50.98 before immunotherapy is a strong predictor for disease control. The ALI also provides great predictive value for metastatic melanoma patients treated with immunotherapy as second-line therapy.

Indexed as

advanced lung cancer inflammation indeximmunotherapyinflammatory markermelanomaprediction

Identifiers

PMID33469361
PMCPMC7810587

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