Inflammation-related parameter serve as prognostic biomarker in esophageal squamous cell carcinoma

Abstract

ObjectiveThe aim of this study was to explore the predictive role of inflammation-related parameters in prognosis of esophageal squamous cell carcinoma (ESCC).MethodsA total of 370 ESCC patients subjected to curative surgery were enrolled. All patients had complete medical records and did not receive preoperative adjuvant therapy. Preoperative systemic immune-inflammation index (SII) was calculated as platelet count × neutrophil count/lymphocyte count, prognostic nutrition index (PNI) as albumin concentration (g/L) + 5 × total lymphocyte count (109/L), and systemic inflammation response index (SIRI) as neutrophil count × monocyte count/lymphocyte count. The optimal cut‐off values of preoperative SII, neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), PNI, and SIRI were determined via receiver operating characteristic (ROC) analysis, and their correlations with clinical parameters and survival analyzed.ResultsNLR was associated with gender (P = 0.022), and PLR (P = 0.037), PNI (P = 0.017) was associated with survival status, LMR was related with gender (P = 0.034) and survival status (P = 0.01), SIRI was correlated with gender (P = 0.000), smoking history (P = 0.000) and drinking history (P = 0.004). Survival analysis indicated that high PLR (P = 0.042), low LMR (P = 0.001), and low PNI (P = 0.007) were predictive of poor prognosis of ESCC. Stratified analysis revealed the prognostic predictor roles of distinct markers in different ESCC subgroups. SII and SIRI were predominantly correlated with the clinical outcome in the lymphatic metastasis subgroup. Further univariate analysis disclosed that T stage, smoking history, lymphatic metastasis, TNM staging, PLR, LMR, and PNI potentially serve as influencing factors(P < 0.05). Multivariate analysis identified T stage (HR = 1.781, P = 0.002), TNM staging (HR = 8.617, P = 0.001) and LMR (HR = 0.504, P = 0.001) as independent predictors for outcomes of ESCC.ConclusionsLow LMR could serve as an independent marker of poor prognosis in patients with ESCC. Inflammation-related markers have distinct predictive roles in ESCC subgroups with different features.

NRF2/HO-1 axis, BIRC5, and TP53 expression in ESCC and its correlation with clinical pathological characteristics and prognosis

“…As many studies have reported, these biomarkers are involved in the development, angiogenesis, and invasion of ESCC. [37][38][39] As a result, using data from the TCGA and HPA databases, we comprehensively investigated the expression of NRF2/HO-1, BIRC5, and TP53 in patients with esophageal carcinoma. We discovered that the expression levels of the aforementioned four transcription factors were substantially higher than those of the normal samples.…”

“…As many studies have reported, these biomarkers are involved in the development, angiogenesis, and invasion of ESCC. 37–39…”

Predictive Value of Inflammatory and Nutritional Indexes in the Pathology of Bladder Cancer Patients Treated with Radical Cystectomy

“…The treatment outcomes and the occurrence of postoperative complications in oncology patients are often related to their nutritional status, which can be impaired by cancer-induced chronic inflammation [ 15 ]. In a large number of cancers, it has been shown that biomarkers of the inflammatory response can predict the prognosis and outcomes of these patients [ 16 , 17 , 18 , 19 ]. In recent years, the focus of numerous studies with oncology patients has been markers that can be calculated from blood count parameters such as the neutrophil-to-lymphocyte ratio (NLR) [ 20 , 21 ], the derived neutrophil-to-lymphocyte ratio (dNLR), the systemic immuno-inflammatory index (SII), and the systemic inflammatory response index (SIRI) [ 19 , 22 , 23 ].…”