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Systemic inflammation response index (SIRI) predicts prognosis in hepatocellular carcinoma patients.

ABSTRACT: The systemic inflammation response index (SIRI) is a useful tool for predicting prognosis in some types of cancer. In this retrospective study, we evaluated the efficacy of SIRI in predicting overall survival in hepatocellular carcinoma (HCC) patients following local or systemic therapy. A cutoff value of 1.05 was identified for SIRI using ROC analysis in a training patient cohort. In the validation cohort, survival analysis revealed that median overall survival was longer in HCC patients with SIRI scores < 1.05 than in those with scores ? 1.05. Cox analysis of the validation cohort demonstrated that SIRI was associated with overall survival and was more predictive of overall survival that the AFP level or Child-Pugh score. However, SIRI and Barcelona Clinic Liver Cancer (BCLC) stage were equally effective for predicting survival. In addition, HCC patients with BCLC stage C had higher SIRI scores and poorer overall survival. SIRI also correlated with liver function parameters. Thus SIRI may be a convenient, low cost and reliable tumor marker for predicting prognosis in HCC patients.

SUBMITTER: Xu L

PROVIDER: S-EPMC5471025 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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Systemic inflammation response index (SIRI) predicts prognosis in hepatocellular carcinoma patients.

Xu Litao L Yu Shulin S Zhuang Liping L Wang Peng P Shen Yehua Y Lin Junhua J Meng Zhiqiang Z

Oncotarget 20170501 21

The systemic inflammation response index (SIRI) is a useful tool for predicting prognosis in some types of cancer. In this retrospective study, we evaluated the efficacy of SIRI in predicting overall survival in hepatocellular carcinoma (HCC) patients following local or systemic therapy. A cutoff value of 1.05 was identified for SIRI using ROC analysis in a training patient cohort. In the validation cohort, survival analysis revealed that median overall survival was longer in HCC patients with S ...[more]

PMID: 28430597

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Project description:It has been confirmed that the systemic inflammation response index (SIRI) based on peripheral blood neutrophil, monocyte and lymphocyte counts can be used for the prognostication of patients with various malignant tumors. However, the prognostic value of SIRI in cervical cancer patients has not yet been reported. This study found that a higher SIRI was related to lymphovascular invasion and was also significantly associated with FIGO stage, radiotherapy, neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and monocyte/lymphocyte ratio (MLR) but not related to other clinical and pathological parameters. According to the Kaplan-Meier survival analysis, a high SIRI was associated with the poor prognosis of cervical cancer patients in the primary and validation groups. SIRI, NLR, PLR, and MLR can all be used to determine the prognosis of patients with operable cervical cancer. Moreover, it was confirmed that only SIRI was an independent prognostic factor for patients with operable cervical cancer. The same result was obtained in the propensity score matching (PSM) analysis. In the ROC curve analysis, SIRI was more accurate in predicting the prognosis of cervical cancer patients. Then, a nomogram was established based on SIRI, FIGO stage and lymphovascular invasion, which could determine the prognosis of cervical cancer patients more accurately than FIGO stage. The validation cohort showed the same results. In addition, the changes in SIRI relative to the baseline value at 4-8 weeks after surgery were closely related to the survival of cervical cancer patients. Compared with those with unchanged SIRI (absolute value of variation <25%), cervical cancer patients with an increase in SIRI > 75% had worse OS (P < 0.001), while patients with a decrease in SIRI > 75% had a better prognosis (P < 0.001). SIRI can serve as a new independent prognostic index and a potential marker for therapeutic response monitoring in patients with curable cervical cancer. Compared with the traditional FIGO staging system, the nomogram integrating SIRI can predict the survival of cervical cancer patients more objectively and reliably after radical surgery.

Project description:BackgroundThe systemic immune-inflammation index (SII) has emerged as a promising marker predicting the prognosis of some cancers, while its role in urothelial carcinoma (UC) remains uncertain, especially in upper urinary tract urothelial carcinoma (UTUC). This meta-analysis aimed to investigate the association of SII with the prognosis of UC and the response to intravesical Bacillus Calmette-Guerin (BCG) therapy of non-muscle invasive bladder cancer (NMIBC).MethodsA systematic search in PubMed, Embase, Web of Science, and the Cochrane Library was performed to identify relevant studies. The extracted hazard ratios (HRs) and 95% confidence intervals (CIs) were used to evaluate the association between SII and overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS) of patients with UC. Additionally, we pooled odds ratios (ORs) and 95% CIs to assess the relationship between SII and BCG response in patients with NMIBC. Subgroup and sensitivity analyses were performed to explore potential sources of heterogeneity.ResultsTwenty studies comprising a total of 12,645 patients were eligible. This meta-analysis revealed that high SII levels independently increased the risk of OS (HR 1.55, 95%CI 1.25-1.92), CSS (HR 1.82, 95%CI 1.36-2.45), and RFS (HR 1.26, 95% CI 1.18-1.35) in patients with UC, including those with upper tract urothelial carcinoma. Additionally, elevated SII levels could predict a lower response to intravesical BCG treatment (OR 0.18, 95%CI 0.07-0.45) and higher disease recurrence (HR 1.61, 95%CI 1.31-1.98) in patients with NMIBC. Furthermore, elevated SII levels were positively associated with advanced age, lymphovascular invasion, hydronephrosis, and high tumor grade and stage (pT ≥ 3).ConclusionsElevated preoperative SII levels are associated with poor survival outcomes in patients with UC, as well as worse response to BCG treatment in patients with NMIBC. Therefore, SII can serve not only as an independent prognostic predictor of patients with UC but also as a guide for BCG therapy in NMIBC.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023409077, identifier CRD42023409077.

Project description:Simple Summary Proteinuria is a common adverse event of systemic therapy for hepatocellular carcinoma (HCC); however, its effect on clinical outcomes is not well understood. A retrospective analysis of 321 patients with unresectable HCC who received systemic therapy as first-line treatment was performed to assess the impact of pretreatment proteinuria on treatment response. Patients without pretreatment proteinuria who received lenvatinib or atezolizumab plus bevacizumab had longer overall survival, but those treated with sorafenib did not. Additionally, a quantitative analysis of 111 patients treated with lenvatinib or atezolizumab plus bevacizumab revealed that the severity of proteinuria was an independent predictor of prognosis, along with liver function. Therefore, pretreatment proteinuria may predict a poorer prognosis in patients with unresectable HCC treated with lenvatinib or atezolizumab plus bevacizumab but not in those treated with sorafenib. Abstract Background: Proteinuria is a common adverse event in systemic therapy for hepatocellular carcinoma (HCC). However, whether the presence of pretreatment proteinuria affects the clinical course is still unclear. Method: From 2011 to 2022, 321 patients with unresectable HCC who were treated with systemic therapy as first-line treatment were enrolled in this study. We retrospectively analyzed the presence of pretreatment proteinuria and the treatment course of systemic therapy. Results: In the cohort, 190 patients were tested for proteinuria qualitatively within 3 months before systemic therapy; 75 were treated with sorafenib, 72 were treated with lenvatinib, and 43 were treated with atezolizumab plus bevacizumab. Overall survival tended to be longer for patients treated with lenvatinib and significantly longer with atezolizumab plus bevacizumab in patients without pretreatment proteinuria but not for those treated with sorafenib. Further analysis was performed in 111 patients treated with lenvatinib or atezolizumab plus bevacizumab who had proteinuria measured quantitatively. Multivariate analysis including proteinuria, liver function, and HCC stage revealed that the severity of proteinuria was an independent predictor of prognosis. Conclusion: Pretreatment proteinuria predicts a poorer prognosis in patients with unresectable HCC treated with lenvatinib or atezolizumab plus bevacizumab but not in those treated with sorafenib.

Project description:BackgroundDue to the viral infection, chronic inflammation significantly increases the likelihood of hepatocellular carcinoma (HCC) development. Nevertheless, an inflammation-based signature aimed to predict the prognosis and therapeutic effect in virus-related HCC has rarely been established.MethodBased on the integrated analysis, inflammation-associated genes (IRGs) were systematically assessed. We comprehensively investigated the correlation between inflammation and transcriptional profiles, prognosis, and immune cell infiltration. Then, an inflammation-related risk model (IRM) to predict the overall survival (OS) and response to treatment for virus-related HCC patients was constructed and verified. Also, the potential association between IRGs and tumor microenvironment (TME) was investigated. Ultimately, hub genes were validated in plasma samples and cell lines via qRT-PCR. After transfection with shCCL20 combined with overSLC7A2, morphological change of SMMC7721 and huh7 cells was observed. Tumorigenicity model in nude mouse was established.ResultsAn inflammatory response-related gene signature model, containing MEP1A, CCL20, ADORA2B, TNFSF9, ICAM4, and SLC7A2, was constructed by conjoint analysis of least absolute shrinkage and selection operator (LASSO) Cox regression and gaussian finite mixture model (GMM). Besides, survival analysis attested that higher IRG scores were positively relevant to worse survival outcomes in virus-related HCC patients, which was testified by external validation cohorts (the ICGC cohort and GSE84337 dataset). Univariate and multivariate Cox regression analyses commonly proved that the IRG was an independent prognostic factor for virus-related HCC patients. Thus, a nomogram with clinical factors and IRG was also constructed to superiorly predict the prognosis of patients. Featured with microsatellite instability-high, mutation burden, and immune activation, lower IRG score verified a superior OS for sufferers. Additionally, IRG score was remarkedly correlated with the cancer stem cell index and drug susceptibility. The measurement of plasma samples further validated that CCL20 upexpression and SLC7A2 downexpression were positively related with virus-related HCC patients, which was in accord with the results in cell lines. Furthermore, CCL20 knockdown combined with SLC7A2 overexpression availably weakened the tumor growth in vivo.ConclusionsCollectively, IRG score, serving as a potential candidate, accurately and stably predicted the prognosis and response to immunotherapy in virus-related HCC patients, which could guide individualized treatment decision-making for the sufferers.

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Systemic inflammation response index (SIRI) predicts prognosis in hepatocellular carcinoma patients.

Publications

Systemic inflammation response index (SIRI) predicts prognosis in hepatocellular carcinoma patients.

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