NCOA3: A molecular prognostic marker for melanoma

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 8007-8007 ◽  
Author(s):  
J. Rangel ◽  
S. Torabian ◽  
L. Shaikh ◽  
M. Nosrati ◽  
J. R. Miller ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Primary Melanoma ◽  
Tumor Location ◽  
Tumor Thickness ◽  
Rank Test ◽  
Cox Regression Analysis ◽  
Clark Level

8007 Background: Nuclear receptor coactivator-3 (NCOA3, also known as AIB1 or SRC-3), a member of the steroid receptor coactivator 1 family, has been shown to be amplified in human breast cancer. We recently identified NCOA3 as differentially expressed in metastatic melanomas by gene expression profiling, suggesting its role as a possible molecular prognostic factor. In this study, we assessed the prognostic significance of NCOA3 expression in a large melanoma patient cohort using tissue micro-arrays (TMAs). Methods: We used a commercially available antibody against NCOA3 to perform immunohistochemical analysis of NCOA3 expression in TMAs containing primary melanoma specimens from 353 patients seen at the UCSF Melanoma Center. Cases included clinicopathologic information (e.g., age, sex, tumor location, tumor thickness, Clark level and ulceration), as well as sentinel lymph node (SLN) status, and information regarding relapse-free (RFS) and disease-specific (DSS) survival. NCOA3 expression was assessed on a 4-point scale (0–3) by an observer blinded to patient outcomes. Results: High NCOA3 expression was significantly predictive of SLN metastasis by univariate logistic regression (p=0.015), and associated with a higher mean positive SLN count (p=0.03, Le test). Kaplan-Meier analysis demonstrated a significant association between increased NCOA3 expression and reduced RFS as well as DSS (p=0.024, and p=0.031 by log-rank test, respectively). Multivariate step-wise logistic regression analysis of 12 factors revealed NCOA3 expression, along with tumor thickness, age, vascular involvement, and Clark level to be independent predictors of SLN status. Multivariate Cox regression analysis showed the independent impact of NCOA3 expression on RFS and DSS with the inclusion of the AJCC factors tumor thickness, ulceration, Clark level, tumor location, patient age and sex. Conclusions: These results reveal NCOA3 to be a novel, independent marker of melanoma outcome, with a significant impact on SLN metastasis, RFS and DSS. No significant financial relationships to disclose.

NLRP3 is a Novel Prognostic Biomarker and Correlates With Immune Infiltrates in Lung Adenocarcinoma and Skin Cutaneous Melanoma

2021 ◽  
Author(s):  
Chenxi Yuan ◽  
Qingwei Wang ◽  
Xueting Dai ◽  
Yipeng Song ◽  
Jinming Yu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Lung Adenocarcinoma ◽  
Immune Cells ◽  
Cutaneous Melanoma ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Potential Biomarker ◽  
The Impact ◽  
Nlrp3 Expression

Abstract Background: Lung adenocarcinoma (LUAD) and skin cutaneous melanoma (SKCM) are common tumors around the world. However, the prognosis in advanced patients is poor. Because NLRP3 was not extensively studied in cancers, so that we aimed to identify the impact of NLRP3 on LUAD and SKCM through bioinformatics analyses. Methods: TCGA and TIMER database were utilized in this study. We compared the expression of NLRP3 in different cancers and evaluated its influence on survival of LUAD and SKCM patients. The correlations between clinical information and NLRP3 expression were analyzed using logistic regression. Clinicopathologic characteristics associated with overall survival in were analyzed by Cox regression. In addition, we explored the correlation between NLRP3 and immune infiltrates. GSEA and co-expressed gene with NLRP3 were also done in this study. Results: NLRP3 expressed disparately in tumor tissues and normal tissues. Cox regression analysis indicated that up-regulated NLRP3 was an independent prognostic factor for good prognosis in LUAD and SKCM. Logistic regression analysis showed increased NLRP3 expression was significantly correlated with favorable clinicopathologic parameters such as no lymph node invasion and no distant metastasis. Specifically, a positive correlation between increased NLRP3 expression and immune infiltrating level of various immune cells was observed. Conclusion: Together with all these findings, increased NLRP3 expression correlates with favorable prognosis and increased proportion of immune cells in LUAD and SKCM. These conclusions indicate that NLRP3 can serve as a potential biomarker for evaluating prognosis and immune infiltration level.

scholarly journals Expression of LOX Suggests Poor Prognosis in Gastric Cancer

2021 ◽  
Vol 8 ◽  
Author(s):  
Jinfeng Zhu ◽  
Chen Luo ◽  
Jiefeng Zhao ◽  
Xiaojian Zhu ◽  
Kang Lin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Poor Prognosis ◽  
Cox Regression ◽  
Gene Set Enrichment Analysis ◽  
High Expression ◽  
Expression Level ◽  
Cox Regression Analysis

Background: Lysyl oxidase (LOX) is a key enzyme for the cross-linking of collagen and elastin in the extracellular matrix. This study evaluated the prognostic role of LOX in gastric cancer (GC) by analyzing the data of The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) dataset.Methods: The Wilcoxon rank-sum test was used to calculate the expression difference of LOX gene in gastric cancer and normal tissues. Western blot and immunohistochemical staining were used to evaluate the expression level of LOX protein in gastric cancer. Kaplan-Meier analysis was used to calculate the survival difference between the high expression group and the low expression group in gastric cancer. The relationship between statistical clinicopathological characteristics and LOX gene expression was analyzed by Wilcoxon or Kruskal-Wallis test and logistic regression. Univariate and multivariate Cox regression analysis was used to find independent risk factors affecting the prognosis of GC patients. Gene set enrichment analysis (GSEA) was used to screen the possible mechanisms of LOX and GC. The CIBERSORT calculation method was used to evaluate the distribution of tumor-infiltrating immune cell (TIC) abundance.Results: LOX is highly expressed in gastric cancer tissues and is significantly related to poor overall survival. Wilcoxon or Kruskal-Wallis test and Logistic regression analysis showed, LOX overexpression is significantly correlated with T-stage progression in gastric cancer. Multivariate Cox regression analysis on TCGA and GEO data found that LOX (all p < 0.05) is an independent factor for poor GC prognosis. GSEA showed that high LOX expression is related to ECM receptor interaction, cancer, Hedgehog, TGF-beta, JAK-STAT, MAPK, Wnt, and mTOR signaling pathways. The expression level of LOX affects the immune activity of the tumor microenvironment in gastric cancer.Conclusion: High expression of LOX is a potential molecular indicator for poor prognosis of gastric cancer.

scholarly journals Prognostic Significance of PD-L1 and mTOR Expression in Oral Squamous Cell Carcinoma

2020 ◽  
Author(s):  
Nattinee Charoen ◽  
Kitti Jantharapattana ◽  
Paramee Thongsuksai
Keyword(s):  
Squamous Cell Carcinoma ◽  
Regression Analysis ◽  
Prognostic Factors ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Cox Regression ◽  
Prognostic Significance ◽  
P Value ◽  
Cox Regression Analysis

Objective: Programmed cell death ligand 1 (PD-L1) and mammalian target of rapamycin (mTOR) are key players in host immune evasion and oncogenic activation, respectively. Evidence of the prognostic role in oral squamous cell carcinoma (OSCC) is conflicting. This study examined the associations of PD-L1 and mTOR expression with 5-year overall survival in OSCC patients. Material and Methods: The expressions of PD-L1 and mTOR proteins were immunohistochemically evaluated on tissue microarrays of 191 patients with OSCC who were treated by surgery at Songklanagarind Hospital, Thailand from 2008 to 2011. Cox regression analysis was used to determine independent prognostic factors. Results: PD-L1 expression was observed in 14.1% of cases while mTOR expression was present in 74.3% of cases. Females were more likely to have tumors with PD-L1 (p-value=0.007) and mTOR expressions (p-value=0.003) than males. In addition, lower clinical stage and well differentiated tumor are more likely to have mTOR expression (p-value= 0.038 and p-value<0.001, respectively). Cox regression analysis showed that age, tumor stage, nodal stage, combined surgical treatment with radiation or chemoradiation therapy, surgical margin status, PD-L1 expression and mTOR expression are independent prognostic factors. High PD-L1 expression (hazard ratio (HR) 3.14, 95% confidence interval (CI), 1.26–7.79) and high mTOR expression (HR 1.69, 95% CI, 1.00–2.84) are strong predictors of poor outcome. Conclusion: A proportion of OSCC expressed PD-L1 and mTOR proteins. Expression of PD-L1 and mTOR proteins are strong prognostic factors of OSCC.

scholarly journals Construction and Validation of a Metabolic Reprogramming Related Prognostic Model for Hepatocellular Carcinoma

2020 ◽  
Author(s):  
Xiaohong - Liu ◽  
Qian - Xu ◽  
Zi-Jing - Li ◽  
Bin - Xiong
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Risk Score ◽  
Prognostic Model ◽  
Cox Regression ◽  
Expression Profiles ◽  
Prognostic Significance ◽  
Metabolic Reprogramming ◽  
Cox Regression Analysis ◽  
Metabolic Genes

Abstract BackgroundMetabolic reprogramming is an important hallmark in the development of malignancies. Numerous metabolic genes have been demonstrated to participate in the progression of hepatocellular carcinoma (HCC). However, the prognostic significance of the metabolic genes in HCC remains elusive. MethodsWe downloaded the gene expression profiles and clinical information from the GEO, TCGA and ICGC databases. The differently expressed metabolic genes were identified by using Limma R package. Univariate Cox regression analysis and LASSO (Least absolute shrinkage and selection operator) Cox regression analysis were utilized to uncover the prognostic significance of metabolic genes. A metabolism-related prognostic model was constructed in TCGA cohort and validated in ICGC cohort. Furthermore, we constructed a nomogram to improve the accuracy of the prognostic model by using the multivariate Cox regression analysis.ResultsThe high-risk score predicted poor prognosis for HCC patients in the TCGA cohort, as confirmed in the ICGC cohort (P < 0.001). And in the multivariate Cox regression analysis, we observed that risk score could act as an independent prognostic factor for the TCGA cohort (HR (hazard ratio) 3.635, 95% CI (confidence interval)2.382-5.549) and the ICGC cohort (HR1.905, 95%CI 1.328-2.731). In addition, we constructed a nomogram for clinical use, which suggested a better prognostic model than risk score.ConclusionsOur study identified several metabolic genes with important prognostic value for HCC. These metabolic genes can influence the progression of HCC by regulating tumor biology and can also provide metabolic targets for the precise treatment of HCC.

scholarly journals Liver Transplantation for HCC in HIV-Infected Patients: Long-Term Single-Center Experience

Cancers ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 4727
Author(s):  
Gian Piero Guerrini ◽  
Massimiliano Berretta ◽  
Giovanni Guaraldi ◽  
Paolo Magistri ◽  
Giuseppe Esposito ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Hiv Infection ◽  
Highly Active Antiretroviral Therapy ◽  
Cox Regression ◽  
Independent Predictive Factor ◽  
Cox Regression Analysis ◽  
Single Center Experience ◽  
Highly Active

Background: HIV-infected patients now have long life expectation since the introduction of the highly active antiretroviral therapy (HAART). Liver diseases, especially cirrhosis and hepatocellular carcinoma (HCC), currently represent a leading cause of death in this setting of patients. Aim: To address the results of liver transplantation (LT) for HCC in HIV-infected patients. Methods: All patients with and without HIV infection who underwent LT for HCC (n = 420) between 2001 and 2021 in our center were analyzed with the intent of comparing graft and patient survival. Cox regression analysis was used to determine prognostic survival factors and logistic regression to determine the predictor factors of post-LT recurrence. Results: Among 1010 LT, 32 were HIV-infected recipients. With an average follow-up of 62 ± 51 months, 5-year overall survival in LT recipients with and without HIV-infection was 71.6% and 69.9%, respectively (p = ns), whereas 5-year graft survival in HIV-infected and HIV-non infected was 68.3% and 68.2%, respectively (p = ns). The independent predictive factor of survival in the study group was: HCV infection (HR 1.83, p = 0.024). There were no significant differences in the pathological characteristics of HCC between the two groups. The logistic regression analysis of the study population demonstrated that microvascular invasion (HR 5.18, p< 0.001), HCC diameter (HR 1.16, p = 0.028), and number of HCC nodules (HR 1.26, p = 0.003) were predictors of recurrence post-LT. Conclusion: Our study shows that HIV patients undergoing LT for HCC have comparable results in terms of post-LT survival. Excellent results can be achieved for HIV-infected patients with HCC, as long as a strategy of close surveillance and precise treatment of the tumor is adopted while on the waiting list.

Prognostic value of D-dimer/fibrinogen ratio in the adverse outcomes of patients hospitalized for heart failure

2020 ◽  
Vol 14 (18) ◽  
pp. 1733-1745
Author(s):  
Tian-Jun Zhao ◽  
Qian-Kun Yang ◽  
Chun-Yu Tan ◽  
Li-Dan Bi ◽  
Jie Li ◽  
...  
Keyword(s):  
Heart Failure ◽  
Regression Analysis ◽  
Cox Regression ◽  
Prognostic Indicator ◽  
Adverse Outcomes ◽  
Rank Test ◽  
Clinical Value ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
D Dimer

Aim: To evaluate the clinical value of plasma D-dimer/fibrinogen ratio (DFR) in patients hospitalized for heart failure (HF). Methods: Clinical data of 235 patients were retrospectively analyzed. Kaplan–Meier method and Cox regression analysis were used to identify significant prognosticators. Results: The Kaplan–Meier analysis showed that a higher DFR level was significantly associated with an increase in the end point outcomes, including HF readmission, thrombotic events and death (log-rank test: p < 0.001). The multivariate Cox regression analysis showed that the high tertile of DFR was significantly associated with the study end points (HR: 2.18; 95% CI: 1.31–3.62; p = 0.003), compared with the low tertile. Conclusion: DFR is a reliable prognostic indicator for patients hospitalized for HF.

Prognostic Significance of Nuclear Receptor Coactivator-3 Overexpression in Primary Cutaneous Melanoma

2006 ◽  
Vol 24 (28) ◽  
pp. 4565-4569 ◽  
Author(s):  
Javier Rangel ◽  
Sima Torabian ◽  
Ladan Shaikh ◽  
Mehdi Nosrati ◽  
Frederick L. Baehner ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Nuclear Receptor ◽  
Cutaneous Melanoma ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Primary Cutaneous Melanoma ◽  
Nuclear Receptor Coactivator ◽  
Kaplan Meier ◽  
The Impact

Purpose To assess the prognostic significance of nuclear receptor coactivator-3 (NCOA3) overexpression in primary cutaneous melanoma. Patients and Methods NCOA3 expression was assessed using immunohistochemical analysis of a melanoma tissue microarray (TMA) containing primary melanomas from 343 patients with defined histology and follow-up. The impact of the presence or absence of various prognostic factors on relapse-free survival (RFS) and disease-specific survival (DSS) of melanoma patients was assessed using Cox regression and Kaplan-Meier analysis. The impact of presence or absence of various factors on sentinel lymph node (SLN) metastasis was assessed using logistic regression analysis. Results Increasing degree of NCOA3 expression was significantly predictive of SLN metastasis (P = .013) and the mean number of SLN metastases (P = .031). Kaplan-Meier analysis demonstrated a significant association between NCOA3 overexpression and reduced RFS (P = .021) and DSS (P = .030). Logistic regression analysis revealed increasing degree of NCOA3 expression to be an independent predictor of SLN status (P = .017). Multivariate Cox regression analysis showed the independent impact of NCOA3 expression on RFS (P = .0095) and DSS (P = .021). NCOA3 was the most powerful factor predicting DSS, outperforming tumor thickness and ulceration. Conclusion These results identify NCOA3 as a novel, independent marker of melanoma outcome, with a significant impact on SLN metastasis, RFS, and DSS.

Abnormal Serum Free Light Chain Ratios Are Associated with Earlier Time to First Treatment and Poor Survival in Patients with Chronic Lymphocytic Leukaemia

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 3141-3141
Author(s):  
Guy Pratt ◽  
Graham Mead ◽  
Supratik Basu ◽  
Abe Jacobs ◽  
Roger Holder ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Lymphocytic Leukemia ◽  
Female Ratio ◽  
Cox Regression Analysis ◽  
Serum Free ◽  
Kaplan Meier ◽  
Mutational Status ◽  
Time To First Treatment

Abstract Introduction: Serum free light chains (sFLC) have prognostic significance in plasma cell disorders. In B-cell chronic lymphocytic leukemia (CLL), a small study found 8/18 (44%) of patients to have abnormal FLC ratios but no assessment of prognostic value was published. The aim of the present study was to determine whether abnormal serum FLC concentrations are indicative of a poor prognosis in CLL patients. Methods: Sera were analysed from 381 previously diagnosed CLL patients (Stage A 307; B 30; C 26; 18 missing; male: Female Ratio 1.6:1, mean age 71 (29–98)) with samples taken before their first treatment (303) or after treatment (78). The study was approved by the Birmingham Heart of England NHS Trust Review Board. Patients were described using the Binet staging system and measured for prognostic markers including CD38, Zap70, mutational status, β2M and FLC. Kaplan Meier survival curves and Cox proportional hazards regression (age, sex, CD38, Zap 70, mutational status, β2M and sFLC) were calculated using SPSS v14. Results: 147/381 (39%) patient sera had abnormal sFLC ratios. Kaplan Meier analysis of all deaths showed abnormal ratios were significantly associated with worse survival (n=350, p&lt;0.001). Analysis of deaths attributed to CLL (n=30) also indicated that an abnormal FLC ratio was predictive of shorter survival (p=0.001). However, for deaths not attributed to CLL (n=32), the FLC ratio was not significantly predictive of outcome (p=0.112). For Cox regression analysis (n=228) of deaths attributed to CLL only, three significant, independent, prognostic factors were identified: CD38 (p&lt;0.001), abnormal ratio (p&lt;0.001) and Stage (p=0.027). Analysis of the untreated patient population (n=303), using Kaplan Meier analysis of time to first treatment, found that an abnormal lambda ratio (p=0.04) but not an abnormal kappa ratio (p=0.443) predicted earlier treatment. For patients with an abnormal lambda ratio, the mean time to first treatment was 38 months earlier than those patients with a normal ratio. Cox regression analysis (n=171) of time to first treatment, found 4 significant, independent factors predicting earlier treatment: Zap70 (p&lt;0.001), Age (p&lt;0.001), abnormal sFLC ratio (p=0.001) and Stage (p=0.027). Conclusions: As shown in other monoclonal gammopathies, abnormal sFLC ratios were associated with poorer outcomes in patients with CLL. Furthermore, in an untreated population, patients with an abnormal lambda sFLC ratio required earlier treatment, indicating a pathological mechanism which is as yet unclear but which warrants further investigation.

scholarly journals Age as a Prognostic Factor in Anaplastic Thyroid Cancer

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Vladan Zivaljevic ◽  
Katarina Tausanovic ◽  
Ivan Paunovic ◽  
Aleksandar Diklic ◽  
Nevena Kalezic ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Thyroid Cancer ◽  
Prognostic Factor ◽  
Cox Regression ◽  
Postoperative Radiotherapy ◽  
Distant Metastases ◽  
Anaplastic Thyroid Cancer ◽  
Multivariate Regression Analysis ◽  
Rank Test ◽  
Cox Regression Analysis

Background.Anaplastic thyroid cancer (ATC) is one of the tumors with the shortest survival in human medicine.Aim.The aim was to determine the importance of age in survival of patients with ATC.Material and Methods. We analyzed the data on 150 patients diagnosed with ATC in the period from 1995 to 2006. The Kaplan-Meier method and log-rank test were used to determine overall survival. Prognostic factors were identified by univariate and multivariate Cox regression analysis.Results.The youngest patient was 35 years old and the oldest was 89 years old. According to univariate regression analysis, age was significantly associated with longer survival in patients with ATC. In multivariate regression analysis, patients age, presence of longstanding goiter, whether surgical treatment is carried out or not, type of surgery, tumor multicentricity, presence of distant metastases, histologically proven preexistent papillary carcinoma, radioiodine therapy, and postoperative radiotherapy were included. According to multivariate analysis, besides surgery (P=0.000, OR = 0.43, 95% CI = 0.29–0.63), only patients age (P=0.023, OR = 0.68, 95% CI = 0.49–0.95) was independent prognostic factor of favorable survival in patients with ATC.Conclusion. Age is a factor that was independently associated with survival time in ATC. Anaplastic thyroid cancer has the best prognosis in patients younger than 50 years.

Expression of MUM1/IRF4 correlates with clinical outcome in patients with B-cell chronic lymphocytic leukemia

Blood ◽  
2002 ◽  
Vol 100 (13) ◽  
pp. 4671-4675 ◽  
Author(s):  
Chung-Che Chang ◽  
Jennifer Lorek ◽  
Daniel E. Sabath ◽  
Ying Li ◽  
Christopher R. Chitambar ◽  
...  
Keyword(s):  
Chronic Lymphocytic Leukemia ◽  
B Cell ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Lymphocytic Leukemia ◽  
Rank Test ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Interferon Regulatory Factor 4 ◽  
Cell Chronic Lymphocytic Leukemia

In this study, we evaluated the prognostic significance of multiple myeloma-1/interferon regulatory factor-4 (MUM1/IRF4) expression in B-cell chronic lymphocytic leukemia (B-CLL). Our results demonstrated that the absence of MUM1/IRF4 expression showed the highest relative risk among the factors analyzed in determining the probability for death in patients with B-CLL using univariate and multivariate Cox regression analysis. Patients without MUM1/IRF4 expression had significantly worse overall survival than did those with MUM1/IRF4 expression (52% cumulative survival, 63 months vs not reached, Kaplan-Meier survival analysis; P < .03, log-rank test). Patients with MUM1/IRF4 expression were more likely to have disease at low Rai stage and interstitial/nodular marrow involvement. Furthermore, only 1 of 11 patients with MUM1/IRF4 expression and interstitial/nodular marrow involvement died during a 100-month follow-up. Our results suggest that B-CLL with expression of MUM1/IRF4, indicative of postgerminal center origin, has a more favorable clinical course and that MUM1/IRF4 is an important prognostic marker in B-CLL.

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