Comparison of the prognostic value of immunoinflammation-based biomarkers in patients with gastric cancer

Hirahara, Noriyuki; Matsubara, Takeshi; Fujii, Yusuke; Kaji, Shunsuke; Yasunari, Kenichi; Hyakudomi, Ryoji; Yamamoto, Tetsu; Taniura, Takahito; Tajima, Yoshitsugu

doi:10.18632/oncotarget.27653

Cited by 27 publications

(35 citation statements)

References 32 publications

(39 reference statements)

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“…Extensive research revealed that inflammatory cells promote the proliferation and metastasis of tumor cells by creating tumor microenvironment. [6][7][8] Studies have shown that large numbers of infiltrating white blood cells that persist in nasopharyngeal cancer lesions can promote the growth of nasopharyngeal cancer cells. 9 In addition, a large-scale study from Hong Kong found that even a small tumor load can release a sufficient amount of EBV DNA into the circulation, demonstrating the potential of circulating EBV DNA analysis in the screening of early asymptomatic nasopharyngeal carcinoma.…”

Section: Introductionmentioning

confidence: 99%

Nomogram Based on Lactate Dehydrogenase-to-Albumin Ratio (LAR) and Platelet-to-Lymphocyte Ratio (PLR) for Predicting Survival in Nasopharyngeal Carcinoma

Peng¹,

Liang²,

Chen³

et al. 2021

JIR

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Purpose The prognosis of inflammation-related indicators like lactate dehydrogenase/albumin ratio (LAR) and the platelet/lymphocyte ratio (PLR) in nasopharyngeal carcinoma (NPC) is not yet clear. Our objective is to establish and verify the nomogram using LAR and PLR ratio for the first time to explore the prognostic value in NPC. Patients and Methods This was a retrospective collection of 1661 patients with non-metastatic NPC admitted to our hospital from 2010 to 2017. The final variables of overall survival (OS) and progression-free survival (PFS) were selected by Cox regression analysis to establish nomograms, and the methods to verify the prediction precision and discriminative ability of the nomograms were concordance index (C index), the receiver operating characteristic (ROC) curve and calibration curve. The risk stratification was carried out through the nomograms and compared with the current staging system by the Kaplan–Meier methods. Results Multivariate Cox analysis resulted that age, plasma Epstein–Barr Virus (EBV) DNA, T stage, N stage, white blood cells (WBC), PLR and LAR were independent prognostic risk factors for OS and PFS, and sex is an independent prognostic risk factor for OS. The C-indexes of OS nomogram were 0.722 (95% CI: 0.706–0.738) and 0.747 (95% CI: 0.717–0.777) in the training cohort and validation cohort, which were statistically higher than the current 8th AJCC staging system (0.646 and 0.688). The C-indexes of PFS nomogram were 0.696 (95% CI: 0.680–0.713) and 0.690 (95% CI: 0.660–0.720), which were also statistically higher than the current 8th AJCC staging system (0.632 and 0.666). Otherwise, ROC curves and the calibration curve for probability also confirmed satisfied consistency with actual observations. Conclusion LAR is a novel useful independent factor in NPC. The proposed nomogram LAR and PLR resulted in more accurate prognostic prediction than current staging system for NPC patients.

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Section: Introductionmentioning

confidence: 99%

Nomogram Based on Lactate Dehydrogenase-to-Albumin Ratio (LAR) and Platelet-to-Lymphocyte Ratio (PLR) for Predicting Survival in Nasopharyngeal Carcinoma

Peng¹,

Liang²,

Chen³

et al. 2021

JIR

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“…For instance, the SII has also been shown to be associated with poorer survival in small cell lung cancer, hepatocellular carcinoma, colorectal cancer, and stomach cancer. 25,26 In a study conducted by Aksu et al, the rela-tionship between inflammatory parameters and the need for invasive intervention in patients with non-ST myocardial infarction during the COVID-19 pandemic period was investigated. At the end of the study, the authors found high SII values to be significantly higher in patients who needed invasive intervention.…”

Section: Discussionmentioning

confidence: 99%

Genel Yoğun Bakım Ünitesinde Yatan COVID 19 Hastalarında Mortaliteyi Öngörmede İnflamasyon İndekslerinin Prediktif Değerleri

Aydın

Alpsoy

Yıldırım

et al. 2022

Online Türk Sağlık Bilimleri Dergisi

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Kür esel bir pandemiye neden olan kor onavir üs hastalığı 2019 (COVID-19), milyonlarca insanın enfekte olmasına ve birçok insanın ölmesine neden oldu. Bu çalışmada rutin olarak değerlendirilen klinik ve laboratuvar değerlerinin COVID-19 hastalığı olan hastaların mortalitesini tahmin edip edemeyeceğini araştırmayı amaçladık. Materyal ve Metot: Çalışmamızda COVID 19 tanısı ile genel yoğun bakım ünitesinde yatırılan 89 hastanın rutin laboratuvar parametreleri retrospektif olarak incelendi. Sistemik inflamasyonun agregat indeksi (AISI) ve diğer infalamatuar değerler COVID-19 polimeraz zincir reaksiyonu testi pozitif olan ve akciğer tomografisinde buzlu cam opasitesi olan hastalarda yapılan kan testlerinden hesaplandı. Hastalar yoğun bakım takiplerinde ölenler (sağ kalamayanlar) ve taburcu olanlar (sağ kalanlar) olarak iki gruba ayrıldı. Bulgular: Çalışmamızda takipte ölen 48 hastada AISI, diğer inflamatuar parametreler, ferritin, troponin I, ddimer ve prokalsitonin gibi biyokimyasal paramtereler taburcu edilen hastalardan anlamlı derecede yüksekti. Hipertansiyon ve daha yüksek AISI ve ferritin seviyeleri, Cox regresyon analizinde azalmış sağkalım ile istatistiksel olarak ilişkiliydi (Sırasıyla: Risk oranı (RO)=3,176;%95 Güven aralığı (GA),

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“…SII including neutrophil, platelet, and lymphocyte counts, which shows the balance between the immune system of the host and the inflammatory state, is a prognostic marker in patients with sepsis 31 . It is also used as a poor prognosis indicator for small cell lung, hepatocellular, colorectal, and gastric cancers 32–35 . In the study of Usul et al, in which they examined 282 patients, SII was found to be higher in COVID‐19 patients compared to healthy controls, and it was suggested that it plays a diagnostic role for SARS‐CoV‐2 infection 36 .…”

Section: Discussionmentioning

confidence: 99%

Predicting hospital mortality in COVID‐19 hemodialysis patients with developed scores

Sevinç

Demi̇rci̇

Timur

2021

Seminars in Dialysis

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Various risk scores such as COVID‐GRAM Critical Illness Risk Score (COVID‐GRAM), quick COVID‐19 Severity Index (qCSI), and systemic immune‐inflammation index (SII) have been developed to determine critical illness in hospitalized patients. None of these risk scoring systems was evaluated in HD patients who indeed carry the highest risk of developing critical illnesses. We aimed to evaluate, in hemodialysis (HD) patients with COVID‐19, the performance of these scoring systems for the need of intensive care unit (ICU) and mortality. The qCSI, COVID‐GRAM, and SII scores of the patients at admission to hospital were calculated and grouped according to the scoring results. The primary outcome of the study was mortality and need of ICU. Critical illness was described as a composition of admission to the ICU, invasive ventilation, or death. It was determined that when the qCSI is over 6.5, the need for ICU increased 13.8 times and mortality increased 21.3 times. When the COVID‐GRAM score is >157, the ICU need increased 14.7 times and the mortality increased 33.7 times. We found that the need for ICU increased 4.2 times and mortality increased 3.1 times when the SII score was >1145. These tests, which can be easily calculated, could be used to estimate the risk of developing critical illness among COVID‐19 HD patients. Estimating the risk of critical illness could help to reduce mortality in HD patients.

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Comparison of the prognostic value of immunoinflammation-based biomarkers in patients with gastric cancer

Cited by 27 publications

References 32 publications

Nomogram Based on Lactate Dehydrogenase-to-Albumin Ratio (LAR) and Platelet-to-Lymphocyte Ratio (PLR) for Predicting Survival in Nasopharyngeal Carcinoma

Nomogram Based on Lactate Dehydrogenase-to-Albumin Ratio (LAR) and Platelet-to-Lymphocyte Ratio (PLR) for Predicting Survival in Nasopharyngeal Carcinoma

Genel Yoğun Bakım Ünitesinde Yatan COVID 19 Hastalarında Mortaliteyi Öngörmede İnflamasyon İndekslerinin Prediktif Değerleri

Predicting hospital mortality in COVID‐19 hemodialysis patients with developed scores

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