Pretreatment serum lactate dehydrogenase as a prognostic indicator for oral cavity squamous cell carcinoma

Takenaka, Yukinori; Oya, Ryohei; Aoki, Kengo; Hamaguchi, Hiroko; Takemura, Kazuya; Nozawa, Masayuki; Kitamura, Takahiro; Yamamoto, Yoshihiko; Uno, Atsuhiko

doi:10.1080/00016489.2017.1398839

Cited by 10 publications

(12 citation statements)

References 14 publications

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“…The determined AIC value was lower for model 1 than for model 2, and the adjusted R 2 value for model 1 was higher than that for model 2. This suggests that model 1 had a higher predictive accuracy for PB NGAL levels than did model 2 (Table ) . In both models, the only significant independent variable was neutrophil count ( P = 0.000).…”

Section: Resultsmentioning

confidence: 92%

“…When independent variables presented variance influence factor (VIF) values >10, those independent variables were considered to have multicollinearity. The predictive accuracy of the multiple regression models was assessed using Akaike's information criterion (AIC) and adjusted R 2 values . Statistical significance was set at P < 0.05.…”

Section: Methodsmentioning

confidence: 99%

“…This suggests that model 1 had a higher predictive accuracy for PB NGAL levels than did model 2 (Table 3). 14,15 In both models, the only significant independent variable was neutrophil count (P = 0.000).…”

Section: Simple Regression Analysis Of the Relationship Of Pb Ngal mentioning

confidence: 97%

“…The predictive accuracy of the multiple regression models was assessed using Akaike's information criterion (AIC) and adjusted R 2 values. 14,15 Statistical significance was set at P < 0.05. Wilcoxon's signed rank test was carried out with P values at <0.01 (=0.05/5).…”

Section: Statistical Analysesmentioning

confidence: 99%

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Association of peripheral blood neutrophil gelatinase‐associated lipocalin levels with bone marrow neutrophil gelatinase‐associated lipocalin levels and neutrophil count in hematologic malignancy

Cho

Yoon

Kim

et al. 2019

Clinical Laboratory Analysis

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BackgroundAlthough neutrophil gelatinase‐associated lipocalin (NGAL) is a biomarker for acute kidney injury, recently, high NGAL levels have been reported in hematologic malignancies. Given the mechanism underlying NGAL synthesis and secretion in neutrophilic series, it is speculated that NGAL levels are higher in bone marrow (BM) than in peripheral blood (PB). Additionally, PB NGAL levels are thought to be associated with neutrophilic parameters. We aimed to test both hypotheses in hematologic malignancies.MethodsPaired BM and PB samples were collected from 41 patients undergoing BM examination for hematologic malignancies. NGAL levels were measured using immunoassays. Data on hematologic parameters were collected from medical records. Single and multiple regression analyses were performed to analyze the relationship.ResultsPB and BM NGAL (n = 41) levels were significantly different (163.0 ± 258.3 and 413.1 ± 616.2 ng/mL [mean ± standard deviation], respectively; P < 0.05). Simple regression analysis and multicollinearity assessment showed that BM NGAL levels, BM neutrophil%, and neutrophil count were significant predictors of PB NGAL. Two multiple regression models were developed (model 1, PB NGAL = 21.467* neutrophil count ‐ 0.785*BM neutrophil%; model 2, PB NGAL = 21.202*neutrophil count‐ 0.915*BM neutrophil% +0.10*BM NGAL). Akaike's information criterion and adjusted R 2 values showed that model 1 had higher predictive accuracy for PB NGAL. In both models, neutrophil count was the only significant predictor.ConclusionBM NGAL was significantly higher than PB NGAL in hematologic malignancy. In addition, PB NGAL could be expressed as a multiple regression model including neutrophil count and BM neutrophil%, being significantly influenced by neutrophil count.

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Section: Resultsmentioning

confidence: 92%

Section: Methodsmentioning

confidence: 99%

Section: Simple Regression Analysis Of the Relationship Of Pb Ngal mentioning

confidence: 97%

Section: Statistical Analysesmentioning

confidence: 99%

See 2 more Smart Citations

Association of peripheral blood neutrophil gelatinase‐associated lipocalin levels with bone marrow neutrophil gelatinase‐associated lipocalin levels and neutrophil count in hematologic malignancy

Cho

Yoon

Kim

et al. 2019

Clinical Laboratory Analysis

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“…The AIC value was lower for Model 1 than for Model 2, and the adjusted R 2 value for Model 1 was higher than that for Model 2. This suggested that model 1 had higher predictive accuracy for NGAL normalized counts than model 2 (Table 3) [19,20]. However, multiple regression analysis showed multicollinearity between TLR4 (VIF=17.277) and STAT3 (VIF=22.683), two independent variables in model 1 (Table 3).…”

Section: Multiple Regression Analysis Of the Normalized Counts Of Ngal And Those Of Other Cytokine Genesmentioning

confidence: 95%

Analysis of the Relationship between the Expression Levels of Neutrophil Gelatinase-Associated Lipocalin and Cytokine Genes in Bone Marrow

2021

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Background : Recently, various associations of NGAL with several hematological cancers have been reported. However, given that the regulation of NGAL gene expression by cytokines is tissue-specific, NGAL expression in relation to those of cytokine genes has not been analyzed in bone marrow (BM) tissue. The purpose of this study was to analyze the association between NGAL and 48 cytokine gene expression levels in mononuclear cells (MNCs) of BM at the time of diagnosis of hematological malignancy and to explore the expression pattern of NGAL and related cytokine genes in patients with hematological malignancies and controls. Methods : BM MNCs were isolated from 48 patients, who were classified as patients presenting myeloproliferative neoplasm, acute myeloid leukemia, myelodysplastic syndrome, and as controls. NGAL and cytokine genes were analyzed using NanoString. Data on hematological parameters were collected from medical records. Single and multiple regression analyses were performed to analyze relationships. Results : Normalized counts of 26 cytokine genes were related to NGAL normalized counts, while STAT3 and TLR4 normalized counts had the highest explanatory power. The following multiple regression model was developed: NGAL normalized counts=4316.825 + 9.056 × STAT3 normalized counts + 844.226 × IL5 normalized counts + 17.540 × TLR1 normalized counts - 28.206 × TLR2 normalized counts - 42.524 × IRAK4 normalized counts. In the multiple regression analysis, STAT3 and TLR4 normalized counts showed multicollinearity. NGAL , STAT3 , IL5 , and TLR4 normalized counts showed similar intergroup patterns. Conclusions : NGAL normalized counts was predicted by a multiple regression model, while they showed similar intergroup patterns to STAT3 , IL5 , and TLR4 normalized counts.

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Changes in conditional net survival and dynamic prognostic factors in patients with newly diagnosed metastatic prostate cancer initially treated with androgen deprivation therapy

et al. 2019

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Background The purpose of this study was to identify predictive factors associated with conditional net survival in patients with metastatic hormone‐naive prostate cancer (mHNPC) initially treated with androgen deprivation therapy (ADT). Methods At nine hospitals in Tohoku, Japan, the medical records of 605 consecutive patients with mHNPC who initially received ADT were retrospectively reviewed. The Pohar Perme estimator was used to calculate conditional net cancer‐specific survival (CSS) and overall survival (OS) for up to 5 years subsequent to the diagnosis. Using multiple imputation, proportional hazard ratios for conditional CSS and OS were calculated with adjusted Cox regression models. Results During a median follow up of 2.95 years, 208 patients died, of which 169 died due to progressive prostate cancer. At baseline, the 5‐year CSS and OS rates were 65.5% and 58.2%, respectively. Conditional 5‐year net CSS and OS survival gradually increased for all the patients. In patients given a 5‐year survivorship, the conditional 5‐year net CSS and OS rates improved to 0.906 and 0.811, respectively. Only the extent of disease score (EOD) ≥2 remained a prognostic factor for CSS and OS up to 5 years; as survival time increased, other variables were no longer independent prognostic factors. Conclusions The conditional 5‐year net CSS and OS in patients with mHNPC gradually increased; thus, the risk of mortality decreased with increasing survival. The patient's risk profile changed over time. EOD remained an independent prognostic factor for CSS and OS after 5‐year follow‐up. Conditional net survival can play a role in clinical decision‐making, providing intriguing information for cancer survivors.

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Pretreatment serum lactate dehydrogenase as a prognostic indicator for oral cavity squamous cell carcinoma

Abstract: Pretreatment serum LDH is an independent prognostic factor for overall survival in patients with OSCC.

Cited by 10 publications

References 14 publications

Association of peripheral blood neutrophil gelatinase‐associated lipocalin levels with bone marrow neutrophil gelatinase‐associated lipocalin levels and neutrophil count in hematologic malignancy

Association of peripheral blood neutrophil gelatinase‐associated lipocalin levels with bone marrow neutrophil gelatinase‐associated lipocalin levels and neutrophil count in hematologic malignancy

Analysis of the Relationship between the Expression Levels of Neutrophil Gelatinase-Associated Lipocalin and Cytokine Genes in Bone Marrow

Changes in conditional net survival and dynamic prognostic factors in patients with newly diagnosed metastatic prostate cancer initially treated with androgen deprivation therapy

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