The lncRNAs RP1-261G23.7, RP11-69E11.4 and SATB2-AS1 are a novel clinical signature for predicting recurrent osteosarcoma

Abstract Background: Osteosarcoma is the most common primary bone malignancy in children and adolescents. In order to find factors related to its recurrence, and thus improve recovery prospects, a powerful clinical signature is needed. Long noncoding RNAs (lncRNAs) are essential in osteosarcoma processes and development, and here we report significant lncRNAs to aid in earlier diagnosis of osteosarcoma. Methods: A univariate Cox proportional hazards regression analysis and a multivariate Cox regression analysis were used to analyze osteosarcoma patients’ lncRNA expression data from the Therapeutically Applicable Research To Generate Effective Treatments (TARGET), a public database. Results: A lncRNA signature consisting of three lncRNAs (RP1-261G23.7, RP11-69E11.4 and SATB2-AS1) was selected. The signature was used to sort patients into high-risk and low-risk groups with meaningful recurrence rates (median recurrence time 16.80 vs. >128.22 months, log-rank test, P<0.001) in the training group, and predictive ability was validated in a test dataset (median 16.32 vs. >143.80 months, log-rank test, P=0.006). A multivariate Cox regression analysis showed that the significant lncRNA was an independent prognostic factor for osteosarcoma patients. Functional analysis suggests that these lncRNAs were related to the PI3K-Akt signaling pathway, the Wnt signaling pathway, and the G-protein coupled receptor signaling pathway, all of which have various, important roles in osteosarcoma development. The significant 3-lncRNA set could be a novel prediction biomarker that could aid in treatment and also predict the likelihood of recurrence of osteosarcoma in patients.

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Prognostic impact of LDH and HCG levels in marker-positive seminomas.

Journal of Clinical Oncology ◽

10.1200/jco.2020.38.6_suppl.392 ◽

2020 ◽

Vol 38 (6_suppl) ◽

pp. 392-392 ◽

Cited By ~ 2

Author(s):

Christoph Alexander Seidel ◽

Gedske Daugaard ◽

Tim Nestler ◽

Alexey Tryakin ◽

Christian Daniel Fankhauser ◽

...

Keyword(s):

Regression Analysis ◽

Cox Regression ◽

Serum Levels ◽

Rank Test ◽

Prognostic Impact ◽

Recurrence Free Survival ◽

Free Survival ◽

Cox Regression Analysis ◽

Oncological Outcomes ◽

Log Rank Test

392 Background: The prognostic impact of LDH and HCG serum levels in marker positive metastatic seminoma patients is uncertain. This analysis evaluated the association between LDH and HCG levels with oncological outcomes in this patient population. Methods: Seminoma patients with elevated HCG levels were retrospectively analyzed. After stratification according to tumor marker levels pre- and post-orchiectomy, outcomes of subgroups were compared using log-rank test and cox-regression analysis. Study endpoints were cancer specific- (CSS) and recurrence-free survival (RFS). Results: In total, 429 HCG-positive metastatic seminoma patients (stage II n=291; stage III n=138) diagnosed between 1981 and 2018 were included. LDH + HCG levels ranged from 124 U/l to 8833 U/l (median: 619; IQR: 955) + 2 IU/l to 283,782 IU/l (median: 20; IQR: 63) pre- and from 107 U/l to 8650 U/l (median: 324; IQR: 481) + 0 IU/l to 36700 IU/l post-orchiectomy (median: 30; IQR: 121), respectively. Five-year CSS and RFS rates were 90% and 79%, respectively. Patients with LDH levels pre-orchiectomy <1.5 UNL (n=142) had a 5-year CSS (RFS) rate of 97% (88%), compared to 86% (81%) for ≥1.5 to 3 UNL (n=40), 83% (77%) for >3 to 5 UNL (n=44) and 83% (72%) for >5 UNL (n=44) (CSS p <0.001; RFS p=0.142). Concerning LDH levels post-orchiectomy this stratification was not significant but patients with LDH levels ≥3 UNL (n=77) displayed an impaired prognosis associated with a 5-year CSS (RFS) rate of 85% (79%) compared to 94% (82%) for levels <3 UNL (n=186) (CSS p=0.025; RFS p=0.447). Patients with HCG levels ≥2000 IU/l (n=17) pre- but not post-orchiectomy had a 5-year CSS (RFS) rate of 73% (60%) compared to 94% (79%) for patients with HCG levels <2000 IU/l (n=855) (CSS p=0.09; RFS p=0.04). In cox-regression analysis LDH ≥1.5 UNL (p=0.037; HR 3.32, CI95%1.08-10.26) and HCG levels ≥2000 IU/l (p=0.044; HR 3.69, 95%CI1.04-13.13) pre-orchiectomy were confirmed as prognostic factors for CSS. Conclusions: LDH levels inversely correlate with survival outcomes, suggesting ≥1.5 UNL pre- and ≥3 UNL post-orchiectomy as potential cut-off values for further risk assessment. Patients with extensive HCG elevations may represent an unfavorable subgroup concerning RFS and CSS, but only few patients were affected.

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An immune-relevant signature of nine genes as a prognostic biomarker in patients with gastric carcinoma

Open Medicine ◽

10.1515/med-2020-0142 ◽

2020 ◽

Vol 15 (1) ◽

pp. 850-859

Author(s):

Bing Wang ◽

Yang Zhang

Keyword(s):

Regression Analysis ◽

High Risk ◽

Gastric Carcinoma ◽

Proportional Hazards ◽

Cox Regression ◽

Malignant Tumors ◽

Risk Group ◽

Cox Proportional Hazards ◽

Rank Test ◽

Cox Regression Analysis

AbstractBackgroundAs one of the most common malignant tumors worldwide, the morbidity and mortality of gastric carcinoma (GC) are gradually increasing. The aim of this study was to construct a signature according to immune-relevant genes to predict the survival outcome of GC patients using The Cancer Genome Altas (TCGA).MethodsUnivariate Cox regression analysis was used to assess the relationship between immune-relevant genes regarding the prognosis of patients with GC. The least absolute shrinkage and selection operator (LASSO) Cox regression model was used to select prognostic immune-relevant genes and to establish the signature for the prognostic evaluation of patients with GC. Multivariate Cox regression analysis and Kaplan–Meier survival analysis were used to assess the independent prognostic ability of the immune-relevant gene signature.ResultsA total of 113 prognostic immune-relevant genes were identified using univariate Cox proportional hazards regression analysis. A signature of nine immune-relevant genes was constructed using the LASSO Cox regression. The GC samples were assigned to two groups (low- and high risk) according to the optimal cutoff value of the signature score. Compared with the patients in the high-risk group, patients in the low-risk group had a significantly better prognosis in the TCGA and GSE84437 cohorts (log-rank test P < 0.001). Multivariate Cox regression analysis demonstrated that the signature of nine immune-relevant genes might serve as an independent predictor of GC.ConclusionsOur results showed that the signature of nine immune-relevant genes may potentially serve as a prognostic prediction for patients with GC, which may contribute to the decision-making of personalized treatment for the patients.

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AB0274 USE OF TNF-INHIBITORS BIOSIMILARS IN CHRONIC INFLAMMATORY ARTHRITIDES: A THREE-YEAR EXPERIENCE IN A LARGE MONOCENTRIC COHORT OF PATIENTS FROM THE NORTH-EAST ITALY

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2020-eular.4898 ◽

2020 ◽

Vol 79 (Suppl 1) ◽

pp. 1435.2-1436

Author(s):

D. Astorri ◽

F. Ometto ◽

L. Friso ◽

B. Raffeiner ◽

C. Botsios ◽

...

Keyword(s):

Regression Analysis ◽

Disease Duration ◽

Cox Regression ◽

University Hospital ◽

Rank Test ◽

Cox Regression Analysis ◽

Factors Associated ◽

Drug Survival ◽

Log Rank Test ◽

Kaplan Meier

Background::In recent years several biosimilars (BS) of tumour necrosis factor inhibitors (TNF-i) were introduced. At the Padova University Hospital the first BS of etanercept (bsETN) was available in October 2016 and the BS of adalimumab (bsADA) was available in November 2018.Objectives:The objectives of the study were to evaluate the rate of bioriginator-biosimilar (BO-BS) switch in all patients with rheumatoid arthritis (RA), psoriatic arthritis (PSA) and axial spondiloarthritis (axSpA) in the cohort of the Padova University Hospital and to examine factors favouring BO-BS switch. Secondly, we investigated survival of BO-BS switch and BO treatment and factors associated with longer treatment survival.Methods:We considered all patients on ETN originator (boETN) treatment when the first bsETN was available (1st October 2016) and all patients on ADA originator (boADA) when bsADA was available (1st November 2018). Patients were followed until 30 August 2019 and were classified as BO-BS switchers if they underwent a switch from either boETN or boADA to BS during the follow-up, otherwise they were considered as continuing BO treatment. Factors associated with BO-BS switch were tested with a multivariable regression analysis. To test the survival of the BO-BS switch and of the BO treatment, Cox regression analysis was used including all variables achiving a p<0.10 in univariate analysis tested with Log-rank test and Kaplan-Meier curves.Results:Among 1208 patients (553 RA, 433 PSA, 215 axSpA), 560 (46.3%) patients switched to bsETN (391) or bsADA (169). Mean disease duration was 16 (14.2) years and mean duration of the bDMARD treatment was 96.3 (56.8) months. After adjustment for potential confounders, factors associated with BO-BS switch were a longer disease duration, a shorter duration of previous bDMARD treatments and diagnosis (Tab.1) RA patients had almost a 3 fold increased likelihood of being switched to BS compared to PSA and axSPA, while difference between PSA and axSPA was not significant.Following Cox regression analysis we observed a longer drug survival in BO-BS switchers compared to those continuing with BO (HR 1.38; 95% C.I. 1.2-1.58; p<0.001) (Fig. 1). A longer drug survival was also associated with a longer disease duration (.15years: HR 1.75; 95% C.I. 1.5-2; p<0.001), longer mean duration of previous bDMARDs (.5years: HR 4.1; 95% C.I. 3.5-4.7; p<0.001), and diagnosis (RA vs PSA: HR 1.22; 95% C.I. 1.02-1.47; p=0.030; RA vs axSpA: HR 0.89 95% C.I. 0.067-0.97; p=0.023; PSA vs axSpA: HR 0.66; 95% C.I. 0.57-0.77; p<0.001) (Fig 2).Figure 1.Kaplan-Meier curves for treatment survival, Log-rank test.Figure 2.Kaplan-Meier curves for treatment survival in all patients, Log-rank tesConclusion:BO-BS switch was undertaken in almost half of the patients. Patients with longer disease duration and longer bDMARD duration, were the most likely to be switched successfully to BS. BO-BS switching does not affect the survival of the treatment, indeed, it provides sustained effectiveness particularly if undertaken in patients with stable disease activity.Table 1.Factors associated with BO-BS switch, multivariate regression analysis.Disclosure of Interests:DAVIDE ASTORRI: None declared, Francesca Ometto: None declared, LARA FRISO: None declared, BERND RAFFEINER: None declared, Costantino Botsios: None declared, Andrea Doria Consultant of: GSK, Pfizer, Abbvie, Novartis, Ely Lilly, Speakers bureau: UCB pharma, GSK, Pfizer, Janssen, Abbvie, Novartis, Ely Lilly, BMS

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Prognostic factors for survival in patients with metastatic malign melanoma treated with ipilimumab: Turkish Oncology Group study

Journal of Oncology Pharmacy Practice ◽

10.1177/1078155218805539 ◽

2018 ◽

Vol 25 (7) ◽

pp. 1658-1664 ◽

Cited By ~ 3

Author(s):

Yuksel Urun ◽

H Arzu Yasar ◽

Hande Turna ◽

Ece Esin ◽

A Murat Sedef ◽

...

Keyword(s):

Regression Analysis ◽

Prognostic Factors ◽

Cox Regression ◽

Survival Rates ◽

Lactic Dehydrogenase ◽

Rank Test ◽

Cox Regression Analysis ◽

Log Rank Test ◽

Metastatic Sites ◽

Ecog Ps

Purpose Studies in the last decade show survival improvement with checkpoint blocker therapy in patients with metastatic malign melanoma. Our purpose was to define the efficacy of ipilimumab according to the patient's baseline characteristics including absolute lymphocytes count. Methods We collected the data of 97 patients with advanced malign melanoma treated with ipilimumab (3 mg/kg, q3w) retrospectively. Log-rank test was used to analyze the univariate effects of patient's characteristics (age, gender, metastatic sites, ECOG PS, type of melanoma, lactic dehydrogenase levels, anemia, lymphocytes (L), neutrophils (N), N/L ratio), c-kit and BRAF status. Survival analyses were estimated with Kaplan–Meier method. Cox regression analysis was used to assess the possible factors identified with log-rank test. Results The median age was 58, and 58% were male and 90% of patients had at least one prior systemic therapy. The median survival was 9.7 months for all patients; and the 12- and 24-month survival rates were 43% and 19%, respectively. Absolute lymphocytes count, lactic dehydrogenase level, bone metastasis, the number of metastatic sites, and RECIST response were significantly related to survival. After Cox regression analysis, RECIST response (complete or partial response), absolute lymphocytes count (more than 1500/mm3) and the number of metastatic sites (less than three sites) remained as significant independent prognostic factors for longer survival. Conclusion Ipilimumab improved survival of patients with metastatic malign melanoma. However, patients with fewer metastatic sites and higher absolute lymphocytes count have a significantly better benefit. To determine if these markers could be used to direct patient therapy, further validation analysis is needed.

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Predictive impact of PVL assessments on clinical outcomes in patients undergoing TAVR

European Heart Journal ◽

10.1093/ehjci/ehaa946.2581 ◽

2020 ◽

Vol 41 (Supplement_2) ◽

Author(s):

K Matsushita ◽

B Marchandot ◽

M Kibler ◽

C Sato ◽

J Heger ◽

...

Keyword(s):

Clinical Outcomes ◽

Cox Regression ◽

Adenosine Diphosphate ◽

Rank Test ◽

Multicenter Studies ◽

Cox Regression Analysis ◽

Paravalvular Leakage ◽

Transcatheter Aortic Valve ◽

Log Rank Test ◽

Cerebrovascular Events

Abstract Introduction Paravalvular leakage (PVL) following transcatheter aortic valve replacement (TAVR) is associated with greater mortality. In clinical practice, determining PVL severity after TAVR remains challenging and often requires multiparametric assessment. Purpose This study sought to evaluate the respective value of various modalities of PVL assessments, including transthoracic echocardiography (TTE), cine-angiography, aortic regurgitation index (ARI), and closure time with adenosine diphosphate (CT-ADP), in the prediction of adverse clinical outcomes. Methods We included 1044 patients from our prospective TAVR registry between February 2010 and May 2019. Major adverse cardiac and cerebrovascular events (MACCE) was defined as a composite of all-cause death, myocardial infarction, stroke, and heart failure hospitalization within 1-year. Established cutoff values of ARI (<25) and CT-ADP (>180 sec) were used to assess the presence of PVL after TAVR. Results Moderate to severe PVL occurred in 14.2% and 5.2% of patients as measured by TTE and angiography. The rate of patients with ARI <25 and CT-ADP >180 sec were 36.5% and 24.9%, respectively. Among the four modalities, PVL evaluated by angiography predicted poorer clinical outcomes (Log rank test; p=0.001), whereas TTE, ARI <25, and CT-ADP >180 sec were not associated with 1-year MACCE. By multivariate Cox regression analysis, moderate to severe PVL by angiography was an independent predictor of 1-year MACCE (hazard ratio: 1.96; 95% confidence interval: 1.22–3.00; p=0.007). Conclusions Paravalvular leakage measured by angiography was evidenced as the most meaningful modality in the prediction of adverse clinical outcomes. Future multicenter studies are warranted to ensure these findings in the current TAVR era. Figure 1 Funding Acknowledgement Type of funding source: None

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Tumor Volume Reduction Rate to Induction Chemotherapy Is a Prognostic Factor for Locally Advanced Head and Neck Squamous Cell Carcinoma: a Retrospective Cohort Study

10.21203/rs.3.rs-993291/v1 ◽

2021 ◽

Author(s):

Chi-hsien Huang ◽

Ting-Chun Lin ◽

Ming-Yu Lien ◽

Fu-Ming Cheng ◽

Kai-Chiun Li ◽

...

Keyword(s):

Tumor Volume ◽

Cox Regression ◽

Reduction Rate ◽

Volume Reduction ◽

Cancer Site ◽

Rank Test ◽

Primary Cancer ◽

Cox Regression Analysis ◽

Log Rank Test ◽

Tumor Volume Reduction

Abstract BackgroundAim of this study was to evaluate the prognostic of tumor volume reduction rate (TVRR) status post induction chemotherapy (IC) in LA-HNSCC.MethodsPatients with newly diagnosed LA-HNSCC from year 2007 to 2016 at a single center were included in this retrospective study. All patients had received IC as TPF (taxotere, platinum, fluorouracil) followed by daily definitive intensity-modulated radiotherapy (IMRT) for 70 Gy in 35 fractions concurrent with or without cisplatin-based chemotherapy. Tumor volume reduction rate of the primary tumor (TVRR-T) and lymph node (TVRR-N) was measured and calculated by contrast-enhanced CT images at diagnosis, and one month after final IC cycle, and analyzed though a univariate and multivariate Cox regression model.ResultsNinety patients of the primary cancer sites at hypopharynx (31/90, 34.4%), oropharynx (29/90, 32.2%), oral cavity (19/90, 21.1%) and larynx (11/90, 12.2%) were included in this study, with a median follow-up time interval of 3.9 years. In univariate Cox regression analysis, the TVRR-T as the only variable showed a significant difference for disease-free survival (DFS) (hazard ratio [HR] 0.77, 95% confidence interval (CI) 0.63 to 0.96; P = 0.02), aside from cancer site, RECIST, age and IC dose. In multivariate Cox regression analysis, The TVRR-T was also an independently significant prognostic factor for DFS (HR 0.77, 95% CI 0.62 to 0.97; P = 0.02). At a cutoff value using TVRR-T of 50% in Kaplan-Meier survival analysis, the DFS was significant higher with TVRR-T ≥ 50% group (log-rank test, p = 0.024), and also a trend of improved OS. (log-rank test, p = 0.069).ConclusionsTVRR-T was related to improved DFS and trend of improved OS. Other factors including patient’s age at diagnosis, the primary cancer site, and RECIST, were not significantly related to DFS.

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Identification of the Novel Methylated Genes’ Signature to Predict Prognosis in INRG High-Risk Neuroblastomas

Journal of Oncology ◽

10.1155/2021/1615201 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Zhichao Liu ◽

Changchun Li

Keyword(s):

Regression Analysis ◽

High Risk ◽

Survival Time ◽

Median Survival ◽

Median Survival Time ◽

Test Group ◽

Functional Enrichment ◽

Rank Test ◽

Cox Regression Analysis ◽

Log Rank Test

Background. Neuroblastomas are the most frequent extracranial pediatric solid tumors. The prognosis of children with high-risk neuroblastomas has remained poor in the past decade. A powerful signature is required to identify factors associated with prognosis and improved treatment selection. Here, we identified a strong methylation signature that favored the earlier diagnosis of neuroblastoma in patients. Methods. Gene methylation (GM) data of neuroblastoma patients from the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) were analyzed using a multivariate Cox regression analysis (MCRA) and univariate Cox proportional hazards regression analysis (UCPHRA). Results. The methylated genes’ signature consisting of eight genes (NBEA, DDX28, TMED8, LOC151174, EFNB2, GHRHR, MIMT1, and SLC29A3) was selected. The signature divided patients into low- and high-risk categories, with statistically significant survival rates (median survival time: 25.08 vs. >128.80 months, log-rank test, P < 0.001 ) in the training group, and the validation of the signature’s risk stratification ability was carried out in the test group (log-rank test, P < 0.01 , median survival time: 30.48 vs. >120.36 months). The methylated genes’ signature was found to be an independent predictive factor for neuroblastoma by MCRA. Functional enrichment analysis suggested that these methylated genes were related to butanoate metabolism, beta-alanine metabolism, and glutamate metabolism, all playing different significant roles in the process of energy metabolism in neuroblastomas. Conclusions. The set of eight methylated genes could be used as a new predictive and prognostic signature for patients with INRG high-risk neuroblastomas, thus assisting in treatment, drug development, and predicting survival.

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miR-181 Expression is Associated With The Prognosis in Lung Cancer.

10.21203/rs.3.rs-44942/v1 ◽

2020 ◽

Author(s):

Yue Zhao ◽

Xiangjun Kong ◽

Hongbing Wang

Keyword(s):

Lung Cancer ◽

Overall Survival ◽

Prognostic Value ◽

Cox Regression ◽

Suppressor Gene ◽

Rank Test ◽

High Morbidity ◽

Cox Regression Analysis ◽

Log Rank Test ◽

Cancer Tissues

Abstract Background: Lung cancer is one of the most common cancers, with high morbidity and mortality. MiRNAs are proved to play important roles in various human cancers. In our study, we aimed to explore the prognostic value of miR-181 in lung cancerMethods: Quantitative real-time polymerase chain reaction (QRT-PCR) was used to detect the expression level of miR-181 in lung cancer tissues and the paired non-cancerous tissues. The relationship between miR-181 expression and clinicopathologic parameters were analyzed by chi-square test. Kaplan-Meier method with log rank test was applied for overall survival analysis. Furthermore, the Cox regression analyses were performed to evaluate the prognostic value of miR-181 in lung cancer.Results: Down-regulated miR-181 expression was observed in lung cancer tissues (P<0.001), moreover, its expression was significantly correlated with TNM stage (P=0.015) and metastasis (P=0.000). In addition, lung cancer patients with lower miR-181 expression level had poorer overall survival than those with higher expression (log rank test, P=0.011). Cox regression analysis suggested that miR-181 was an independent prognostic factor for lung cancer (HR=1.961, 95%CI=1.135-3.388, P=0.016).Conclusion: MiR-181 may be a tumor suppressor gene in lung cancer, which can predict outcomes for the patients.

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

Biomarkers in Medicine ◽

10.2217/bmm-2020-0553 ◽

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.

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Age as a Prognostic Factor in Anaplastic Thyroid Cancer

International Journal of Endocrinology ◽

10.1155/2014/240513 ◽

2014 ◽

Vol 2014 ◽

pp. 1-5 ◽

Cited By ~ 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.

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