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.

scholarly journals Effect of Tumor Size on Long-Term Survival After Resection for Solitary Intrahepatic Cholangiocarcinoma

2021 ◽  
Vol 10 ◽  
Author(s):  
Junjie Kong ◽  
Yukun Cao ◽  
Jiawei Chai ◽  
Xihan Liu ◽  
Cunhu Lin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Prognostic Factor ◽  
Intrahepatic Cholangiocarcinoma ◽  
Tumor Size ◽  
Cox Regression ◽  
Independent Prognostic Factor ◽  
Rank Test ◽  
Term Survival ◽  
Cox Regression Analysis ◽  
Size Groups

BackgroundThe relationship between tumor size and survival in intrahepatic cholangiocarcinoma (ICC) is still controversial. This study aimed to evaluate the prognostic ability of tumor size for solitary ICC after resection and explore optimal cut-off values in different subgroups.MethodsPatients with solitary ICC who underwent liver resection from the Surveillance, Epidemiology, and End Results Program and Shandong Provincial Hospital were retrospectively analyzed. Kaplan-Meier and Cox regression analysis were used to assess the prognostic ability of tumor size. The log-rank test was used to determine the optimal cut-off values, and a minimum P was regarded as the optimal one in different subgroups.ResultsLarge tumor size groups had worse overall survival (OS) than small tumor size groups. Cox regression analysis suggested that tumor size was an independent prognostic factor for OS for solitary ICC after resection. Subgroup analysis showed tumor size was associated with OS for both solitary ICC with and without vascular invasion (VI). Furthermore, the optimal cut-off values for solitary ICC with and without VI were found to be 8 and 3 cm, respectively, which could divide the patients into two groups with significant differences in OS.ConclusionTumor size was an independent prognostic factor for solitary ICC after resection. The existing American Joint Committee on Cancer (AJCC) staging system could be improved if the cut-off value of the T1 stage was changed to 8 cm and if the T2 stage incorporated a tumor size with a cut-off value of 3 cm. Further studies with more cases are needed to validate these findings.

scholarly journals The prognostic and diagnostic significance of the neutrophil-to-lymphocyte ratio in hepatocellular carcinoma: a prospective controlled study

2021 ◽  
Author(s):  
Philip J. Johnson ◽  
Sofi Dhanaraj ◽  
Sarah Berhane ◽  
Laura Bonnett ◽  
Yuk Ting Ma
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Prognostic Factor ◽  
Cox Regression ◽  
Prognostic Models ◽  
Controlled Study ◽  
Cox Regression Analysis ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Significant Difference

Abstract Background The neutrophil–lymphocyte ratio (NLR), a presumed measure of the balance between neutrophil-associated pro-tumour inflammation and lymphocyte-dependent antitumour immune function, has been suggested as a prognostic factor for several cancers, including hepatocellular carcinoma (HCC). Methods In this study, a prospectively accrued cohort of 781 patients (493 HCC and 288 chronic liver disease (CLD) without HCC) were followed-up for more than 6 years. NLR levels between HCC and CLD patients were compared, and the effect of baseline NLR on overall survival amongst HCC patients was assessed via multivariable Cox regression analysis. Results On entry into the study (‘baseline’), there was no clinically significant difference in the NLR values between CLD and HCC patients. Amongst HCC patients, NLR levels closest to last visit/death were significantly higher compared to baseline. Multivariable Cox regression analysis showed that NLR was an independent prognostic factor, even after adjustment for the HCC stage. Conclusion NLR is a significant independent factor influencing survival in HCC patients, hence offering an additional dimension in prognostic models.

Factors Predictive of Distant Metastases in Patients With Breast Cancer Who Have a Pathologic Complete Response After Neoadjuvant Chemotherapy

2005 ◽  
Vol 23 (28) ◽  
pp. 7098-7104 ◽  
Author(s):  
Ana M. Gonzalez-Angulo ◽  
Sean E. McGuire ◽  
Thomas A. Buchholz ◽  
Susan L. Tucker ◽  
Henry M. Kuerer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Neoadjuvant Chemotherapy ◽  
Distant Metastasis ◽  
Cox Regression ◽  
Clinical Stage ◽  
Pathologic Complete Response ◽  
Distant Metastases ◽  
Complete Response ◽  
Cox Regression Analysis

Purpose To identify clinicopathological factors predictive of distant metastasis in patients who had a pathologic complete response (pCR) after neoadjuvant chemotherapy (NC). Methods Retrospective review of 226 patients at our institution identified as having a pCR was performed. Clinical stage at diagnosis was I (2%), II (36%), IIIA (27%), IIIB (23%), and IIIC (12%). Eleven percent of all patients were inflammatory breast cancers (IBC). Ninety-five percent received anthracycline-based chemotherapy; 42% also received taxane-based therapy. The relationship of distant metastasis with clinicopathologic factors was evaluated, and Cox regression analysis was performed to identify independent predictors of development of distant metastasis. Results Median follow-up was 63 months. There were 31 distant metastases. Ten-year distant metastasis-free rate was 82%. Multivariate Cox regression analysis using combined stage revealed that clinical stages IIIB, IIIC, and IBC (hazard ratio [HR], 4.24; 95% CI, 1.96 to 9.18; P < .0001), identification of ≤ 10 lymph nodes (HR, 2.94; 95% CI, 1.40 to 6.15; P = .004), and premenopausal status (HR, 3.08; 95% CI, 1.25 to 7.59; P = .015) predicted for distant metastasis. Freedom from distant metastasis at 10 years was 97% for no factors, 88% for one factor, 77% for two factors, and 31% for three factors (P < .0001). Conclusion A small percentage of breast cancer patients with pCR experience recurrence. We identified factors that independently predicted for distant metastasis development. Our data suggest that premenopausal patients with advanced local disease and suboptimal axillary node evaluation may be candidates for clinical trials to determine whether more aggressive or investigational adjuvant therapy will be of benefit.

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.

Cetuximab (CTX) in first-line treatment of elderly patients with metastatic colorectal cancer (mCRC), KRAS wild type: French multicentre prospective community-based registry and results.

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 760-760
Author(s):  
Laurent Mineur ◽  
Eric François ◽  
Jean Marc Phelip ◽  
Rosine Guimbaud ◽  
Carine Plassot ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Prognostic Factor ◽  
Cox Regression ◽  
Univariate Analysis ◽  
Rank Test ◽  
Wild Type ◽  
Community Based ◽  
Cox Models ◽  
Cox Regression Analysis ◽  
Effective Age

760 Background: Pts included in clinical trials represent the unusual population in mCRC. This study aims to provide oncologist with a better understanding of the potential benefit of CT with CTX in older patients with mCRC KRAS wild type and evaluate prognostic variables on the PFS including the age. Methods: Premium cancer study is a French multicentre prospective community-based registry. 493 pts enrolled and 487 included between September 2009 to March 2012 from 94 French centers and physicians. Pts had to provide written informed consent and protocol submitted to regulatory authorities. Predefined efficacy endpoints was PFS. CTX was administrated at 250 mg/m2 weekly (n=100; 20.3%) or 500 mg/m2 every 2 weeks (n=380;77,2%), other n=13; 2.5%) CT regimen choice was at physician’s discretion.. The main analysis is PFS as well as analysis of prognostic factors of this PFS (29 items including age (< 65 years n=229; 65-74 years n= 165.; ≥75years n=93). Univariate analysis was performed for each covariate, PFS was estimated by Kaplan-Meier curves and compared by log-rank test. univariable Cox regression analysis was used to assess the association between each variable and outcome. Multivariable stepwise Cox models were then fitted for final variable selection of prognostic factors on PFS. Results: Univariate significant prognostic factors for PFS are OMS (0-1 vs 2-3), Tobacco, Site of tumor (right vs other), Number of metastatic organ (1 vs 2-3), Resecability of metastatic disease defined before CT (definitively non resectable metastases vs possible resectable), Surgery of mCRC, folliculitis or xerosis or paronychia grade 0-1 vs 2-4. Age was unidentified as a prognostic factor in univariate analysis. Four factors were independently associated with a better PFS: xerosis [hazard ratio (HR0,651); 95% confidence interval (CI) 0,494-0,857], (WHO PS) 0–1 (HR0,519 ; 95% CI 0,371–0,726) and folliculitis (HR 0,711; 95% CI0,558–0,956) metastases surgery 0,287(CI 0,205-0,403). Conclusions: CTX in combination with standard CT is effective, age is not identified as a prognostic factor for the PFS. Both groups of pts based on age benefit from CTX.

scholarly journals Oestrogen receptor 1 mRNA is a prognostic factor in ovarian cancer patients treated with neo-adjuvant chemotherapy: determination by array and kinetic PCR in fresh tissue biopsies

2009 ◽  
Vol 16 (4) ◽  
pp. 1241-1249 ◽  
Author(s):  
Claudio Zamagni ◽  
Ralph M Wirtz ◽  
Pierandrea De Iaco ◽  
Marta Rosati ◽  
Elke Veltrup ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Adjuvant Chemotherapy ◽  
Prognostic Factor ◽  
Cox Regression ◽  
Endocrine Treatment ◽  
Rank Test ◽  
Mrna Levels ◽  
Cox Regression Analysis ◽  
Platinum Based Chemotherapy ◽  
Neo Adjuvant Chemotherapy

Oestrogen receptors (ESRs) regulate the growth and differentiation of normal ovarian epithelia. However, to date their role as biomarkers in the clinical setting of ovarian cancer remains unclear. In view of potential endocrine treatment options, we tested the role of ESR1 mRNA expression in ovarian cancer in the context of a neo-adjuvant chemotherapy trial. Study participants had epithelial ovarian or peritoneal carcinoma unsuitable for optimal upfront surgery and were treated with neo-adjuvant platinum-based chemotherapy before surgery. RNA was isolated from frozen tumour biopsies before treatment. RNA expression of ESR1 was determined by microarray and reverse transcriptase kinetic PCR technologies. The prognostic value of ESR1 was tested using univariate and multivariate Cox proportional hazards models, Kaplan–Meier survival statistics and the log-rank test. ESR1 positively correlates with proliferation markers and histopathological grading. ESR1 was a significant predictor of survival as a continuous variable in the univariate Cox regression analysis. In multivariate analysis, elevated baseline ESR1 mRNA levels predicted prolonged progression-free survival (P=0.041) and overall survival (P=0.01) after neo-adjuvant chemotherapy, independently of pathological grade and age. We conclude that pretreatment ESR1 mRNA is associated with tumour growth and is a strong prognostic factor in ovarian cancer, independent of the strongest clinical parameters used in clinical routine. We suggest that ESR1 mRNA status should be considered in order to minimize possible confounding effects in ovarian cancer clinical trials, and that early treatment with anti-hormonal agents based on reliable hormone receptor status determination is worth investigating.

scholarly journals The prognostic value of androgen receptor (AR) in HER2-enriched metastatic breast cancer

2020 ◽  
Vol 27 (4) ◽  
pp. 199-208 ◽  
Author(s):  
Xinyue Wang ◽  
Xiwen Bi ◽  
Zhangzan Huang ◽  
Jiajia Huang ◽  
Wen Xia ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Regression Analysis ◽  
Metastatic Breast Cancer ◽  
Androgen Receptor ◽  
Prognostic Factor ◽  
Cox Regression ◽  
Metastatic Breast ◽  
Independent Prognostic Factor ◽  
First Line ◽  
Cox Regression Analysis

The significance of androgen receptor (AR) in metastatic breast cancer (MBC) remains unclear, and it is still largely unknown how AR expression level influences HER2-positive tumors. This study aimed to investigate the prognostic and predictive value of AR in HER2-enriched MBC. Primary and/or paired metastatic tumors of 304 patients with pathologically confirmed HER2-enriched MBC were collected and immunohistochemically assessed for AR expression. The associations of AR and other clinicopathological characteristics were compared using the Chi-square test. Progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan–Meier method and log-rank test. Cox regression analysis was used to determine independent prognostic factors. AR-positivity with a cut-off value of 10% was observed in 237 (78.0%) cases and was associated with longer PFS, 13.2 months, as compared to that of 8.2 months (P = 0.004) in patients with AR-negativity. Moreover, a significant increase in the 5-year OS rate (65.3% vs 36.2%, P < 0.001) was also observed for patients with AR-positive tumors. Cox regression analysis identified AR-positivity as an independent prognostic factor of both PFS (hazard ratio = 0.71, P = 0.039) and OS (HR = 0.53, P = 0.013). Additionally, for those who received first-line Trastuzumab therapies, prolonged PFS (15.8 months vs 8.2 months, P = 0.005) and 5-year OS rate (66.2% vs 26.2%, P = 0.009) were observed in AR-positive tumors compared to AR-negative ones. In conclusion, AR was identified as an independent prognostic factor for favorable PFS and OS and could also predict the efficacy of first-line Trastuzumab treatment in patients with HER2-enriched MBC.

scholarly journals Increased Colonic Expression of ACE2 Associates with Poor Prognosis in Crohn’s Disease

2021 ◽  
Author(s):  
Takahiko Toyonaga ◽  
Kenza Araba ◽  
Meaghan Kennedy ◽  
Benjamin Keith ◽  
Elisabeth Wolber ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Protein Expression ◽  
Cox Regression ◽  
Multivariate Regression Analysis ◽  
Rna Seq ◽  
Cox Regression Analysis ◽  
Molecular Stratification ◽  
The Impact

Abstract Background and Aims: The host receptor for SARS-CoV-2, angiotensin-converting enzyme 2 (ACE2), is highly expressed in small intestine. Our aim was to study colonic ACE2 expression in Crohn's disease (CD) and non-inflammatory bowel disease (non-IBD) controls. We hypothesized that the colonic expression levels of ACE2 impacts CD course. Methods: We examined the expression of colon ACE2 using RNA-seq and quantitative (q) RT-PCR from 69 adult CD and 14 NIBD control patients. In a subset of this cohort we validated ACE2 protein expression and localization in formalin-fixed, paraffin-embedded matched colon and ileal tissues using immunohistochemistry. The impact of increased ACE2 expression in CD for the risk of surgery was evaluated by a multivariate regression analysis and a Kaplan-Meier estimator. To provide critical support for the generality of our findings, we analyzed previously published RNA-seq data from two large independent cohorts of CD patients. Results: Colonic ACE2 expression was significantly higher in a subset of adult CD patients (ACE2-high CD). IHC in a sampling of ACE2-high CD patients confirmed high ACE2 protein expression in the colon and ileum compared to ACE2-low CD and NIBD patients. Notably, we found that ACE2-high CD patients are significantly more likely to undergo surgery within 5 years of diagnosis, with a Cox regression analysis finding that high ACE2 levels is an independent risk factor (OR 2.18; 95%CI, 1.05-4.55; p=0.037). Conclusion: Increased intestinal expression of ACE2 is associated with deteriorated clinical outcomes in CD patients. These data point to the need for molecular stratification that may impact CD disease-related outcomes.

scholarly journals Logistic Regression Analysis of the Factors Involved in the Failure of Osseointegration and Survival of Dental Implants with an Internal Connection and Machined Collar: A 6-Year Retrospective Cohort Study

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Aritza Brizuela-Velasco ◽  
Ángel Álvarez-Arenal ◽  
Esteban Pérez-Pevida ◽  
Iker Bellanco-De La Pinta ◽  
Héctor De Llanos-Lanchares ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Dental Implants ◽  
Cox Regression ◽  
Rank Test ◽  
Cox Regression Analysis ◽  
Internal Connection ◽  
Study Results ◽  
Logit Function ◽  
Cox Analysis

Background. Although the long-term success rate of dental implants is currently close to 95%, it is necessary to provide more evidence on the factors related to the failure of osseointegration and survival. Purpose. To establish the risk factors associated with the failure of osseointegration and survival of dental implants with an internal connection and machined collar and to establish a predictive statistical model. Materials and Methods. An analytical, retrospective, and observational clinical study of a sample of 297 implants with a follow-up of up to 76 months. Independent variables related to the implant, patient, and surgical and rehabilitative procedures were identified. The dependent variables were failure of osseointegration and failure of implant survival after prosthetic loading. A survival analysis was carried out by applying the Kaplan-Meier model (significance for p < 0.05 ). The log-rank test and the Cox regression analysis were applied to the factors that presented differences. Finally, the regression logit function was used to determine whether it is possible to predict the risk of implant failure according to the analyzed variables with the data obtained in this study. Results. The percentages of osseointegration and survival were 97.6 and 97.2%, respectively. For osseointegration, there were significant differences according to gender ( p = 0.048 ), and the risk of nonosseointegration was 85% lower in women. Regarding survival, the Cox analysis converged on only two factors, which were smoking and treatment with anticoagulant drugs. The risk of loss was multiplied by 18.3 for patients smoking more than 10 cigarettes per day and by 28.2 for patients treated with anticoagulants. Conclusions. The indicated risk factors should be considered, but the analysis of the results is not sufficient to create a predictive model.

scholarly journals A Novel Signature to Predict Thyroid Cancer Prognosis and Immune Landscape Using Immune-Related LncRNA Pairs

2021 ◽  
Author(s):  
BO SONG ◽  
Lijun Tian ◽  
Fan Zhang ◽  
Zheyu Lin ◽  
Boshen Gong ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Thyroid Cancer ◽  
High Risk ◽  
Small Molecule ◽  
Immune Cell ◽  
Cox Regression ◽  
Risk Group ◽  
High Risk Group ◽  
Immune Cell Infiltration ◽  
Cox Regression Analysis

Abstract Background: Thyroid cancer (TC) is the most common endocrine malignancy worldwide. The incidence of TC is high and increasing worldwide due to continuous improvements in diagnostic technology. TC is still often overtreated due to a lack of reliable diagnostic biomarkers. Therefore, determining accurate prognostic predictions to stratify TC patients is important.Methods: Raw data were downloaded from the TCGA database, and pairwise comparisons were applied to identify differentially expressed immune-related lncRNA (DEirlncRNA) pairs. Then, we used univariate Cox regression analysis and a modified Lasso algorithm on these pairs to construct a risk assessment model for TC. Next, TC patients were assigned to high- and low-risk groups based on the optimal cutoff score of the model for the 1-year ROC curve. We evaluated the signature in terms of prognostic independence, predictive value, immune cell infiltration, ICI-related molecules and small-molecule inhibitor efficacy. Results: We identified 30 DEirlncRNA pairs through Lasso regression, and 14 pairs served as the novel predictive signature. The high-risk group had a significantly poorer prognosis than the low-risk group. Cox regression analysis revealed that this immune-related signature can predict prognosis independently and reliably for TC. With the CIBERSORT algorithm, we found an association between the signature and immune cell infiltration. Additionally, several immune checkpoint inhibitor (ICI)-related molecules, such as PD-1 and PD-L1, showed a negative correlation with the high-risk group. We further found that some commonly used small-molecule inhibitors, such as sunitinib, were related to this new signature. Conclusions: We constructed a prognostic immune-related lncRNA signature that can predict TC patient survival without considering the technical bias of different platforms, and this signature also sheds light on TC overall prognosis and novel clinical treatments, such as ICB therapy and small molecular inhibitors.

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