Evidence map›Paper›PMID 40904509›Full record

ArticleFrontiers in oncology2025

Association between advanced lung cancer inflammation index and distant metastasis in breast cancer: a retrospective cohort study.

Xiao-Dong Luan, Qian Ren, Ya-Lin Zhang, Wen-Hai Zhang, Chun-Feng Liang, Si-Zhi Liang, Zi-Hao Liu, Yu-Kun Liu

Abstract read
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Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiao-Dong LuanDepartment of Breast Surgery, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, Shandon, China.
Qian RenDepartment of Breast Surgery, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, Shandon, China.
Ya-Lin ZhangDepartment of Breast Surgery, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, Shandon, China.
Wen-Hai ZhangDepartment of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Chun-Feng LiangDepartment of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Si-Zhi LiangDepartment of Breast Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Zi-Hao LiuDepartment of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Yu-Kun LiuDepartment of Breast Surgery, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, Shandon, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to assess the relationship between the Advanced Lung Cancer Inflammation Index (ALI) and the risk of distant metastasis in breast cancer. While ALI is commonly used to evaluate the prognosis of lung cancer patients, its application in breast cancer and its correlation with distant metastasis are not well understood. Therefore, this study explores the potential of ALI as a predictor of distant metastasis in breast cancer patients. Methods: This retrospective study included 348 breast cancer patients, of whom 163 had distant metastasis. Patient demographic information, tumor characteristics, and ALI values were collected. Multivariate regression analysis was used to adjust for confounding factors, and dose-response analysis was performed to investigate the relationship between ALI and the risk of distant metastasis. The optimal ALI cutoff value was determined, and its predictive performance was evaluated. Results: The analysis showed that patients with lower ALI had a significantly higher risk of distant metastasis. Adjusted multivariate analysis revealed that for every one interquartile range (IQR) increase in ALI, the risk of distant metastasis in breast cancer decreased by 31% (OR=0.69, 95% CI 0.58-0.81). Dose-response analysis indicated a linear relationship between ALI and metastasis risk. The optimal ALI cutoff value was identified as 36.39 using the Youden index, with an area under the ROC curve (AUC) of 0.605, indicating moderate predictive power of ALI for distant metastasis in breast cancer. Conclusion: Lower ALI is significantly associated with an increased risk of distant metastasis in breast cancer. ALI may serve as a valuable predictor of distant metastasis, offering clinicians a new tool to better identify high-risk patients and facilitate early intervention. However, further prospective studies are required to validate its clinical utility.

Indexed as

advanced lung cancer inflammation index (ALI)breast cancerDistant metastasis (DM)prognostic biomarkerRetrospective cohort study

Identifiers

PMID40904509
PMCPMC12401971

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