scholarly journals Salivary Metabolomics for Prognosis of Oral Squamous Cell Carcinoma

2022 ◽  
Vol 11 ◽  
Author(s):  
Shigeo Ishikawa ◽  
Masahiro Sugimoto ◽  
Tsuneo Konta ◽  
Kenichiro Kitabatake ◽  
Shohei Ueda ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Prognostic Factors ◽  
Prognostic Factor ◽  
Oral Squamous Cell Carcinoma ◽  
Regression Model ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Validation Group ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression

This study aimed to identify salivary metabolomic biomarkers for predicting the prognosis of oral squamous cell carcinoma (OSCC) based on comprehensive metabolomic analyses. Quantified metabolomics data of unstimulated saliva samples collected from patients with OSCC (n = 72) were randomly divided into the training (n = 35) and validation groups (n = 37). The training data were used to develop a Cox proportional hazards regression model for identifying significant metabolites as prognostic factors for overall survival (OS) and disease-free survival. Moreover, the validation group was used to develop another Cox proportional hazards regression model using the previously identified metabolites. There were no significant between-group differences in the participants’ characteristics, including age, sex, and the median follow-up periods (55 months [range: 3–100] vs. 43 months [range: 0–97]). The concentrations of 5-hydroxylysine (p = 0.009) and 3-methylhistidine (p = 0.012) were identified as significant prognostic factors for OS in the training group. Among them, the concentration of 3-methylhistidine was a significant prognostic factor for OS in the validation group (p = 0.048). Our findings revealed that salivary 3-methylhistidine is a prognostic factor for OS in patients with OSCC.

scholarly journals A novel long non-coding RNA, AC012456.4, as a valuable and independent prognostic biomarker of survival in oral squamous cell carcinoma

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5307 ◽  
Author(s):  
Xuegang Hu ◽  
Zailing Qiu ◽  
Jianchai Zeng ◽  
Tingting Xiao ◽  
Zhihong Ke ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Survival Analysis ◽  
Oral Squamous Cell Carcinoma ◽  
Proportional Hazards ◽  
Prognostic Biomarker ◽  
Cox Proportional Hazards ◽  
Regression Analyses ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
Kaplan Meier

Oral squamous cell carcinoma (OSCC) is a major malignant cancer of the head and neck. Long non-coding RNAs (lncRNAs) have emerged as critical regulators during the development and progression of cancers. This study aimed to identify a lncRNA-related signature with prognostic value for evaluating survival outcomes and to explore the underlying molecular mechanisms of OSCC. Associations between overall survival (OS), disease-free survival (DFS) and candidate lncRNAs were evaluated by Kaplan–Meier survival analysis and univariate and multivariate Cox proportional hazards regression analyses. The robustness of the prognostic significance was shown via the Gene Expression Omnibus (GEO) database. A total of 2,493 lncRNAs were differentially expressed between OSCC and control samples (fold change >2, p < 0.05). We used Kaplan–Meier survival analysis to identify 21 lncRNAs for which the expression levels were associated with OS and DFS of OSCC patients (p < 0.05) and found that down-expression of lncRNA AC012456.4 especially contributed to poor DFS (p = 0.00828) and OS (p = 0.00987). Furthermore, decreased expression of AC012456.4 was identified as an independent prognostic risk factor through multivariate Cox proportional hazards regression analyses (DFS: p = 0.004, hazard ratio (HR) = 0.600, 95% confidence interval(CI) [0.423–0.851]; OS: p = 0.002, HR = 0.672, 95% CI [0.523–0.863). Gene Set Enrichment Analysis (GSEA) indicated that lncRNA AC012456.4 were significantly enriched in critical biological functions and pathways and was correlated with tumorigenesis, such as regulation of cell activation, and the JAK-STAT and MAPK signal pathway. Overall, these findings were the first to evidence that AC012456.4 may be an important novel molecular target with great clinical value as a diagnostic, therapeutic and prognostic biomarker for OSCC patients.

MODELLING THE DETERMINANTS OF UNDER-FIVE CHILD MORTALITY RATES USING COX PROPORTIONAL HAZARDS REGRESSION MODEL

2021 ◽  
Vol 4 (4) ◽  
pp. 401-408
Author(s):  
M. C. Musa ◽  
O. E. Asiribo ◽  
H. G. Dikko ◽  
M. Usman ◽  
S. S. Sani
Keyword(s):  
Regression Model ◽  
Child Mortality ◽  
Proportional Hazards ◽  
Mortality Rates ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Predictor Variables ◽  
Under Five ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression

An under-five childhood mortality rates in Nigeria is still high, despite efforts of government at all levels to combat the menace. This study examined some factors that significantly affect under-five child mortality. A sample of mothers with children under the age of five from Nigeria Demographic and Health Survey data (NDHS, 2013 & 2018) was used to assess the effect of some selected predictor variables (or covariates) on childhood survival. Cox proportional hazards model is essentially a regression model popularly used for investigating the association between the survival time and one or more predictor variables. The results from final fitted Cox proportional hazards regression model that the covariates, contraceptive used by the mother, state of residence, birth weight of child and type of toilet facility used by the h-ousehold were found to be significantly associated with under-five survival in the North Central Region of Nigeria. All the calculations are performed using the R software for statistical analysis.

scholarly journals Prognostic Significance of Serum Free Amino Acids in Head and Neck Cancers

Cells ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 428 ◽  
Author(s):  
Vit Vsiansky ◽  
Marketa Svobodova ◽  
Jaromir Gumulec ◽  
Natalia Cernei ◽  
Dagmar Sterbova ◽  
...  
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Regression Model ◽  
Head And Neck ◽  
Cell Lines ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Transformed Cells ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression

Despite distinctive advances in the field of head and neck squamous cell cancer (HNSCC) biomarker discovery, the spectrum of clinically useful prognostic serum biomarkers is limited. As metabolic activities in highly proliferative transformed cells are fundamentally different from those in non-transformed cells, specific shifts in concentration of different metabolites may serve as diagnostic or prognostic markers. Blood amino acids have been identified as promising biomarkers in different cancers before, but little is known about this field in HNSCC. Blood amino acid profiles of 140 HNSCC patients were examined using high-performance liquid chromatography. Cox proportional hazards regression model was used to assess the prognostic value of amino acid concentrations in serum. Colony forming assay was used to identify the effect of amino acids that were significant in Cox proportional hazards regression models on colony forming ability of FaDu and Detroit 562 cell lines. In the multivariable Cox regression model for overall survival (OS), palliative treatment was associated with an unfavourable prognosis while high serum levels of methionine have had a positive prognostic impact. In the relapse-free survival (RFS) multivariable model, methionine was similarly identified as a positive prognostic factor, along with tumor localization in the oropharynx. Oral cavity localization and primary radio(chemo)therapy treatment strategy have been linked to poorer RFS. 1mM serine was shown to support the forming of colonies in both tested HNSCC cell lines. Effect of methionine was exactly the opposite.

scholarly journals The prognostic value of B7-H6 in esophageal squamous cell carcinoma

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Huan Zhou ◽  
Jun Dong ◽  
Liyi Guo ◽  
Xicheng Wang ◽  
Kailin Wang ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Lymphatic Metastasis ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Tissue Samples ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression

AbstractB7-H6, a member of the B7 family molecules, participates in the clearance of tumor cells by binding to NKp30 on NK cells. B7-H6 expression level in esophageal squamous cell carcinoma (ESCC) and the clinical value remain unknown. The goal of this study was to determine the expression of B7-H6 in ESCC and further explore its clinical significance. We retrospectively collected the clinical data of 145 patients diagnosed with ESCC between January 2007 and December 2008. The expression of B7-H6 of the pathological tissue samples was detected by immunohistochemistry. The chi-square (χ2) test was used to analyse the relationships of B7-H6 and clinicopathological characteristics. Survival and hazard functions were estimated using the Kaplan-Meier method, and survival between groups was compared using the two-sided log-rank test. The Cox proportional hazards regression model was used to adjust for the risk factors related to overall survival (OS). 133/145 (91.72%) of the ESCC tissue samples exhibited B7-H6 expression. The expression level of B7-H6 was correlated with T stage (P = 0.036) and lymphatic metastasis status (P = 0.044). High B7-H6 expression (P = 0.003) was associated with a significantly worse OS than low B7-H6 expression. Multivariate Cox proportional hazards regression analysis demonstrated that tumour size (P = 0.021), B7-H6 expression (P = 0.025) and lymphatic metastasis status (P = 0.049) were independent prognostic factors of OS for ESCC. Collectively, our findings suggest that B7-H6 is widely expressed in ESCC samples. And B7-H6 may represent a predictor of poor prognosis for ESCC.

Post-prostatectomy PSA slope (ProsVue) in Gleason score ≥7 disease

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e15113-e15113
Author(s):  
Judd W. Moul ◽  
Hans Lilja ◽  
Oliver John Semmes ◽  
Robert Vessella ◽  
Jonathan E. McDermed ◽  
...  
Keyword(s):  
Prognostic Factor ◽  
Gleason Score ◽  
Stable Disease ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Independent Prognostic Factor ◽  
Clinical Recurrence ◽  
Prognostic Performance ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression

e15113 Background: A case-cohort designed multicenter clinical study addressed the prognostic value of the linear slope of PSA in 304 men after radical prostatectomy (RP) – 64 with clinical recurrence and 240 with stable disease. PSA was measured with Nucleic Acid Detection Immunoassay (NADiA) technology having a limit of quantification of 0.00065 ng (0.65 pg) per mL. Least-squares linear PSA slope (ProsVue) was calculated using 3 serum samples drawn 1.5-20 months (mo) post-RP. Multivariate Cox proportional hazards regression analysis showed that a ProsVue cutpoint of ≤2.0 pg/mL/mo was an independent prognostic factor for identifying men at reduced risk for recurrence along with clinical evaluation (HR=9.824). Of traditional risk factors – pre-RP PSA, Gleason score (GS) and pathologic stage, only GS was an independent prognostic factor (HR=5.3). This study tested the prognostic performance of ProsVue in a 164-man subset with pathologic GS ≥7. Methods: Recurrence was documented by positive imaging, positive biopsy or prostate cancer death. The same ProsVue cutpoint dichotomized men “at reduced” or “not at reduced” recurrence risk compared to clinically recurrent or stable disease status. Uni- and multivariate Cox proportional hazards regression were employed. Results: Median age, pre-RP PSA and percent tumor volume in the subset were 62.6, 7.2 ng/mL, and 20%. Distributions of GS 7, 8, 9 were 76.8%, 14.6% and 8.5%, respectively. Pathologic stages were T0-T2, T3a, T3b and T4 in 41%, 57%, 29% and 7% of men, respectively. Median follow-up in stable and recurrent groups was 10.8 and 4.8 yr. The table compares results in the full cohort and the GS ≥7 subgroup. Conclusions: ProsVue prognostic performance is maintained with GS ≥7. Performance parameters, especially the multivariate hazard ratio (HR) are minimally attenuated vs. the full case-cohort. [Table: see text]

scholarly journals High PD-L1 Expression Associates with Low T-Cadherin Expression and Poor Prognosis in HPV-Negative Head and Neck Squamous Cell Carcinoma

2021 ◽  
Author(s):  
Qiuju Wang ◽  
Yanzhen Zhao ◽  
Yan Chen ◽  
Yibo Chen ◽  
Xiaoyu Song ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Regression Analysis ◽  
Protein Expression ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression

Abstract PurposeT-cadherin is an immunoglobulin-like adhesion molecule which acts as a tumor suppressor gene, programmed cell death ligand 1 (PD-L1) is a cell surface protein that involves in the suppression of the immune system. This study aimed at exploring the correlation between T-cadherin and PD-L1, as well as their prognostic value in patients with HPV-negative head and neck squamous cell carcinoma (HNSCC). MethodsIn this study, immunohistochemical staining was used to determine the protein expression of T-cadherin and PD-L1 in 104 tissue specimens of HPV-negative HNSCC. Spearman linear correlation analysis was used to determine the association between protein expression of T-cadherin and PD-L1. Kaplan-Meier analysis was used to plot overall survival (OS) and disease-free survival (DFS) curves. Cox proportional hazards regression analysis was used to conduct univariate and multivariate analysis. ResultsThe results showed a large negative association between protein expression of T-cadherin and PD-L1 (r=-0.775, P<0.01), expression of T-cadherin and PD-L1 were associated with OS (P=0.021 and 0.034, respectively) and DFS (P=0.012 and 0.016, respectively) in patients with HPV-negative HNSCC. Cox proportional hazards regression analysis revealed that expression of T-cadherin and PD-L1 were independent prognostic predictors for OS and DFS in patients with HPV-negative HNSCC. The worst prognosis was observed in patients with T-cadherin negative/PD-L1 positive.ConclusionIn conclusion, expression of T-cadherin and PD-L1 were inversely correlated and were independent prognostic factors for patients with HPV-negative HNSCC.

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