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SHR Neuro Cancer Cardio Lipid Metab Microb

Barth, DA; Brenner, C; Riedl, JM; Prinz, F; Klocker, EV; Schlick, K; Kornprat, P; Lackner, K; Stöger, H; Stotz, M; Gerger, A; Pichler, M.
External validation of the prognostic relevance of the advanced lung cancer inflammation index (ALI) in pancreatic cancer patients.
Cancer Med. 2020; 9(15):5473-5479 Doi: 10.1002/cam4.3233 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG


Leading authors Med Uni Graz
Barth Dominik Andreas
Pichler Martin
Co-authors Med Uni Graz
Gerger Armin
Klocker Eva Valentina
Kornprat Peter
Lackner Karoline
Prinz Felix
Riedl Jakob
Stöger Herbert
Stotz Michael

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BACKGROUND: The advanced lung cancer inflammation index (ALI) was first introduced for prognosis prediction in lung cancer patients and since then evaluated in several other malignancies. However, in pancreatic cancer (PC) the ALI and its prognostic utility were only investigated in a comparably small and specific cohort of locally advanced PC patients treated with chemoradiotherapy. METHODS: In our single-center cohort study, we included 429 patients with histologically verified PC who were treated between 2003 and 2015 at our academic institution. The ALI was defined as body mass index (BMI; kg/m2 ) × serum albumin levels (g/dL)/neutrophil-lymphocyte ratio (NLR) and we defined the optimal cutoff for biomarker dichotomization by ROC-analysis. Kaplan-Meier method as well as uni- and multivariate Cox regression Hazard proportional models were implemented to assess the prognostic potential of ALI in PC patients. We considered cancer-specific survival (CSS) as the primary endpoint of the study. RESULTS: The ALI showed a significant negative correlation with CA19-9 levels and C-reactive protein levels whereas we found an association with localized tumor stage and better performance status (P < .05 for all mentioned variables). As opposed to patients with a high ALI, decreased ALI was significantly associated with shorter CSS (HR = 0.606, 95% CI: 0.471-0.779, P = .001). Multivariate analysis demonstrated tumor grade, tumor stage, chemotherapy, C-reactive protein levels, and CA19-9 levels to independently predict for CSS (all P < .05). In contrast the ALI failed to independently predict for CSS in the performed multivariate models (HR = 0.878, 95% CI: 0.643-1.198, P = .411). CONCLUSION: In this large cohort of PC patients, the ALI did not complement existing clinicopathological factors for outcome determination.
Find related publications in this database (using NLM MeSH Indexing)
Aged - administration & dosage
Cohort Studies - administration & dosage
Female - administration & dosage
Humans - administration & dosage
Inflammation - diagnosis
Lung Neoplasms - secondary
Male - administration & dosage
Middle Aged - administration & dosage
Pancreatic Neoplasms - complications
Prognosis - administration & dosage
Retrospective Studies - administration & dosage

Find related publications in this database (Keywords)
advanced lung cancer inflammation index
pancreatic cancer
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