The inflammatory burden index is a superior systemic inflammation biomarker for the prognosis of non‐small cell lung cancer

Xie, Hailun; Ruan, Guo‐Tian; Wei, Lishuang; Deng, Li; Zhang, Qi; Ge, Yi‐Zhong; Song, Mengmeng; Zhang, Xi; Lin, Shiqi; Liu, Xiaoyue; Yang, Ming; Song, Chunhua; Zhang, Xiaowei; Shi, Hanping

doi:10.1002/jcsm.13199

Cited by 21 publications

(14 citation statements)

References 34 publications

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“…[15], intra-abdominal bacterial infection (IBI), Ratio of drainage fluid to preoperative serum amylase (DSAR) [16], modified Glasgow Prognostic Score (mGPS) [17], and other relevant variables [4]. These factors are selected based on their potential association with postoperative complications, inflammation, immune response, and nutritional status in patients undergoing pancreatic surgery for tumor resection [5].…”

Section: 3resultsmentioning

confidence: 99%

A nomogram for constructing a multidimensional postoperative pancreatic fistula for pancreatic tumors:Based on Systemic Inflammatory Biomarkers

Yang,

Zhang,

Tan

2024

Preprint

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1.1Objective According to relevant studies, the incidence of pancreatic tumors has increased in both Asian and Western countries [1]. Surgical resection is the cornerstone of treatment for this aggressive disease [2] [3]. According to relevant studies, postoperative pancreatic fistula (POPF) in pancreatic tumors is one of the most serious complications after surgery, which seriously affects the course of patients' treatment and their prognosis [2] [3]. In the present study, we aime to identify the risk factors associated with clinically relevant postoperative pancreatic fistula (CR-POPF) based on systemic inflammatory markers (SIB), and preoperative, intraoperative, and postoperative dimensions, and to establish a multidimensional columnar graphical model for predicting postoperative pancreatic fistula (POPF) in pancreatic tumors [4] [5]. 1.2Methods Ninety patients who underwent surgery for pancreatic tumors at the Department of Hepatobiliary Surgery of the First Affiliated Hospital of Dalian Medical University between November 21, 2022 and November 21, 2023 were retrospectively studied. This study has been approved by the Ethics Committee of the First Affiliated Hospital of Dalian Medical University, and the relevant guidelines and regulations have been strictly followed.The collected clinical data were first processed by feature engineering and analyzed with relevant statistics such as chi-square test according to the criteria described in the Supplementary file, and risk factors with P-Value ≤ 0.05were selected. Then, the data set was randomly divided into training set and validation set according to 7:3, and then batch one-way logistic regression analysis was performed and risk factors with P-Value ≤ 0.05 were selected, and then multifactorial logistic regression analysis was performed and the optimal multivariate regression model was constructed. Based on the results of multifactors logistic regression analysis, a multidimensional column-line diagram was developed . The Bootstrap method was used to validate the model in a relevant way, and the predictive performance was assessed using the subject work characteristics (ROC) curve, and the clinical application value of the model was verified using the decision curve analysis (DCA) and calibration (Calibration) curve. 1.3Results The incidence of POPF in this study was 50.0% (45/90). Multivariate logistic regression analysis identified the following variables as independent risk factors for POPF: preoperative albumin level(ALB, OR:5.06,P=0.012), neutrophil to lymphocyte ratio (NLR, OR: 9.55,P < 0.001), and systemic immunoinflammatory markers (SII, OR: 0.006,P =4.58), the ratio of amylase concentration in drainage fluid to preoperative blood amylase concentration (DSAR, OR=26.73,P < 0.001). We create a multi-dimensional nomogram by combining the above risk factors. The multidimensional nomogram model shows better predictive value. AUC under receiver Operating characteristic (ROC) curve: training set AUC=0.889 > 0.50, validation set AUC=0.949 > 0.50. The results show that the multidimensional nomogram model has good predictive performance, and the DCA and Calibration analyses of training set and validation set also show that the multidimensional nomogram model has higher clinical net benefit and better fit. 1.4Conclusion Based on SIB, the column diagram we constructed can scientifically, accurately and objectively predict the risk of POPF in patients after pancreatic tumor surgery, which can better assist clinicians to conduct scientific POPF risk assessment on patients about to undergo pancreatic tumor surgery, and timely conduct relevant clinical intervention, so as to better develop the mitigation strategy of pancreatic fistula and corresponding postoperative management. The quality of life and prognosis of patients after operation were improved.

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Section: 3resultsmentioning

confidence: 99%

A nomogram for constructing a multidimensional postoperative pancreatic fistula for pancreatic tumors:Based on Systemic Inflammatory Biomarkers

Yang,

Zhang,

Tan

2024

Preprint

Self Cite

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“…As a parameter combining platelet count and lymphocyte count, PLR can provide relatively accurate prognostic information about cancer patients (29,30). It is widely accepted that there is a strong correlation between the development and prognosis of tumors and a systemic inflammatory response (31)(32)(33). As a commonly used marker of systemic inflammation, the prognostic value of NLR has also been powerfully demonstrated in PCa (34)(35)(36).…”

Section: Discussionmentioning

confidence: 99%

Association between platelet‑to‑lymphocyte ratio and serum prostate specific antigen

Hu,

Yan,

Huang

et al. 2023

Mol Clin Oncol

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There is evidence that the systemic inflammatory response may have an impact on prostate-specific antigen (PSA) levels. However, the relationship between the platelet-to-lymphocyte ratio (PLR) and PSA remains unclear. As a result, the relationship between PLR and PSA using the National Health and Nutrition Examination Survey (NHANES) database was examined. After the screening, 6,638 participants out of 52,186 in the NHANES survey conducted between 2001 to 2010 were suitable for the present study. The PLR was the independent variable in the present study, and PSA was the dependent variable. The selected subjects in the present study had an average age of 58.563±11.848 years. After controlling for covariates, the results showed that with every increase in PLR, the PSA concentration increased by 0.004 ng/ml (0.001, 0.007). This difference was statistically significant. Furthermore, a smoothing curve based on a fully adjusted model was created to investigate the possibility of a linear relationship between PLR and PSA concentration in men from USA. In men from USA, an independent and positive correlation between PLR and PSA was identified, which could potentially result in overdiagnosis of asymptomatic prostate cancer in populations with higher PLR levels.

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“…Only a handful of studies have compared biomarkers of systemic inflammation across the different families highlighted above. Xie et al investigated 16 biomarkers of systemic inflammation, comprising CRP, platelets, NC, LC, and albumin, in patients with NSCLC across all stages and treatment modalities [77]. Individual constituent inflammatory biomarkers or novel scores were not evaluated.…”

Section: Identifying An Optimal Biomarker Of Systemic Inflammationmentioning

confidence: 99%

“…Some inflammatory biomarkers such as the mGPS have demonstrated prognostic value in cohorts of patients with localised, locally advanced, or advanced/metastatic NSCLC [44,77,90,91]. The overall level of systemic inflammation observed appears to rise with increasing stage.…”

Section: Chemo-immunotherapy Immunotherapy Monotherapymentioning

confidence: 99%

“…For example, in a large meta-analysis, Huang et al found that the SII in patients with NSCLC was significantly higher in patients with locally advanced disease compared to those with localised disease [67]. Xie et al also found that that a high IBI was associated with advanced pathological stage and that it could differentiate the prognosis of patients with NSCLC with the same pathological stage [77]. It is less clear if the type of systemic inflammation observed differs between stage.…”

Section: Chemo-immunotherapy Immunotherapy Monotherapymentioning

confidence: 99%

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Prognostic Biomarkers of Systemic Inflammation in Non-Small Cell Lung Cancer: A Narrative Review of Challenges and Opportunities

Stares,

Brown,

Abhi

et al. 2024

Cancers

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Non-small cell lung cancer (NSCLC) is a common malignancy and is associated with poor survival outcomes. Biomarkers of systemic inflammation derived from blood tests collected as part of routine clinical care offer prognostic information for patients with NSCLC that may assist clinical decision making. They are an attractive tool, as they are inexpensive, easily measured, and reproducible in a variety of healthcare settings. Despite the wealth of evidence available to support them, these inflammatory biomarkers are not yet routinely used in clinical practice. In this narrative review, the key inflammatory indices reported in the literature and their prognostic significance in NSCLC are described. Key challenges limiting their clinical application are highlighted, including the need to define the optimal biomarker of systemic inflammation, a lack of understanding of the systemic inflammatory landscape of NSCLC as a heterogenous disease, and the lack of clinical relevance in reported outcomes. These challenges may be overcome with standardised recording and reporting of inflammatory biomarkers, clinicopathological factors, and survival outcomes. This will require a collaborative approach, to which this field of research lends itself. This work may be aided by the rise of data-driven research, including the potential to utilise modern electronic patient records and advanced data-analysis techniques.

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The inflammatory burden index is a superior systemic inflammation biomarker for the prognosis of non‐small cell lung cancer

Cited by 21 publications

References 34 publications

A nomogram for constructing a multidimensional postoperative pancreatic fistula for pancreatic tumors:Based on Systemic Inflammatory Biomarkers

A nomogram for constructing a multidimensional postoperative pancreatic fistula for pancreatic tumors:Based on Systemic Inflammatory Biomarkers

Association between platelet‑to‑lymphocyte ratio and serum prostate specific antigen

Prognostic Biomarkers of Systemic Inflammation in Non-Small Cell Lung Cancer: A Narrative Review of Challenges and Opportunities

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