scholarly journals Epidemiological aspects of colorectal cancer in East Azerbaijan, Northwest Iran: five year survival analysis

2021 ◽  
Vol 40 (3) ◽  
pp. 190-199
Author(s):  
Ramin Barnous ◽  
Mohammad Hossein Somi ◽  
Zohreh Sanaat ◽  
Pooneh Jabbaripoor ◽  
Neda Dolatkhah ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Regression Analysis ◽  
Survival Analysis ◽  
Cox Regression ◽  
Survival Function ◽  
Rank Test ◽  
Female Ratio ◽  
Cox Regression Analysis ◽  
Common Cancer ◽  
East Azerbaijan

BackgroundColorectal cancer (CRC) is the third most common cancer and the second leading cause of death from cancer in the world. Currently, CRC is the fourth most common cancer in men and the second common cancer in women of all ages in Iran. The aim of this study was to determine the epidemiologic profile of CRC along with CRC specific survival analysis. MethodsThis was an analytical cross-sectional study using the East Azerbaijan Population Based Cancer Registry database (EA-PBCR) as a source for data related to patients with a diagnosis of CRC. Colorectal cancer specific 1- to 5-year survival analysis and mortality rates were calculated. Log-rank test and Cox regression analysis was performed to test the equality of survival function and mortality hazard. ResultsA total of 2,366 newly diagnosed CRCs were registered during 3 years, with a male: female ratio of 1.31. Overall survival rate was 49.8%. One- to 5-year survival rates were 96.21%, 56.94%, 48.62%, 47.88% and 46.76% respectively. At multivariate level, after adjusting for all variables, regression analysis showed that the hazard of mortality in stage IV cancers was 46.44 times higher than that in stage I cancers (HR=46.44, 95% CI: 14.86-145.14, p=0.000). However, differences in patients’ age group and sex and the subsite of cancer did not create any statistically significant variation between groups in regards to mortality hazards (p>0.05). ConclusionThis study demonstrated that the stage and grade of CRC were important prognostic factors and that early screening and diagnosis of CRC were essential.

scholarly journals Gastric cancer in East Azerbaijan, Iran: Five-year survival analysis of population-based cancer registry results

2020 ◽  
Vol 7 (11) ◽  
pp. 4114-4121
Author(s):  
Pooneh Jabbaripour ◽  
Mohammad Hossein Somi ◽  
Hossein Mashhadi Abdolahi ◽  
Roya Dolatkhah
Keyword(s):  
Gastric Cancer ◽  
Survival Analysis ◽  
Cancer Registry ◽  
Survival Data ◽  
Cox Regression ◽  
Survival Function ◽  
Population Based ◽  
Rank Test ◽  
Cancer Data ◽  
East Azerbaijan

Introduction: Gastric cancer is the most common cancer with significant increasing trends during the last decade in Iran. The aim of this study was to evaluate the epidemiologic profile of gastric cancer along with gastric cancer-specific survival analysis. Methods: This was an analytical cross-sectional study in which all gastric cancer data were analyzed using the database of the East Azerbaijan Population-Based Cancer Registry (EA-PBCR). The incidents of definitive gastric cancer diagnosis were between the period of March 20th, 2015 to March 19th, 2017 ( = 3 Iranian solar years). The survival analysis was performed using the Kaplan-Meier method and life tables for 1- to 5-year survival data. The Log-rank test and Cox regression were computed to test the equality of survival function and mortality hazard. Results: Overall, 2,631 newly diagnosed gastric cancer cases were registered for 3 years. Gastric cancer was 2.35 times more common in men than women. The most common age group was the 7th decade- with 531 (31.2%) gastric cancer cases. Most of the gastric cancer cases were non-cardia (n = 2,244, 85.29%) cancer, and the proportion of non-cardia to cardia gastric cancer was 5.8:1. Overall survival was 60.1%, and 1- to 5-year survival proportions were 91.61%, 64.21%, 58.53%, 30.14% and 24.77%, respectively. Cardia cancers had a worse survival rate than non-cardia cancers, and the hazard of mortality was 1.33 times higher in cardia than non-cardia cancers (hazard ratio or HR = 1.33; 95% CI: 1.05 - 1.68; P = 0.017). Conclusion: Non-cardia gastric cancer is still the most dominant subsite in East Azerbaijan, Iran. There was a higher 1- to 5- year survival proportion in East Azerbaijan, with lower overall mortality rates, compared to other regions of Iran.

scholarly journals Survival analysis and influence of the surgical aggression of a cohort of orthopedic and trauma patients in a non-controlled spread COVID-19 scenario

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Fernando Corella ◽  
Roberto S. Rosales ◽  
David Guzman Domenech ◽  
Miguel Cañones Martín ◽  
Ricardo Larrainzar-Garijo
Keyword(s):  
Blood Pressure ◽  
Regression Analysis ◽  
Survival Analysis ◽  
High Blood Pressure ◽  
Cox Regression ◽  
Survival Function ◽  
Hazard Ratio ◽  
Trauma Patients ◽  
Cox Regression Analysis ◽  
Transmission Area

Abstract Background Determining the infection rate and mortality probability in healthy patients who have undergone orthopedic and trauma surgeries (OTS) during a period of uncontrolled COVID-19 transmission may help to inform preparations for future waves. This study performed a survival analysis in a cohort of non-infected OTS patients and determined the effect of COVID-19 on mortality. Methods This observational study included 184 patients who underwent OTS in the month before surgical activities ceased and before the implementation of special measures. Four groups of surgery (GS) were established based on the location of the surgery and the grade of inflammation produced. Crude risk of infection and infection rates were assessed. Survival and failure functions by GS were analyzed. Comparison of the Kaplan-Meier survival curves by GS was assessed. Cox regression and Fine-Gray models were used to determine the effect of different confounders on mortality. Results The crude risk of COVID-19 diagnosis was 14.13% (95% CI: 9.83–19.90%). The total incidence rate was 2.67 (1000 person-days, 95% CI: 1.74–3.91). At the end of follow-up, there was a 94.42% chance of surviving 76 days or more after OTS. The differences in K-M survivor curves by GS indicated that GS 4 presented a lower survival function (Mantel-Cox test, p = 0.024; Wilcoxon-Breslow test, p = 0.044; Tarone-Ware test, p = 0.032). One of the best models to determine the association with mortality was the age-adjusted model for GS, high blood pressure, and respiratory history, with a hazard ratio of 1.112 in Cox regression analysis (95% CI: 1.005–1.230) and a sub hazard ratio of 1.111 (95% CI: 1.046–1.177) in Fine-Gray regression analysis for competitive risk. Conclusions The infection risk after OTS was similar to that of the general population in a community transmission area; the grade of surgical aggression did not influence this rate. The survival probability was extremely high if patients had not previously been infected. With higher grades of surgical aggression, the risk of mortality was higher in OTS patients. Adjusting for age and other confounders (e.g., GS, high blood pressure and respiratory history) was associated with higher mortality rates.

scholarly journals Prediction of Prognostic Biomarkers and Construction of an Autophagy Prognostic Model for Colorectal Cancer Using Bioinformatics

2020 ◽  
Vol 19 ◽  
pp. 153303382098417
Author(s):  
Ting-ting Liu ◽  
Shu-min Liu
Keyword(s):  
Colorectal Cancer ◽  
Regression Analysis ◽  
Prognostic Model ◽  
Cox Regression ◽  
Small Gtpase ◽  
Functional Enrichment ◽  
Clinical Correlation ◽  
Cox Regression Analysis ◽  
Prognostic Analysis ◽  
Key Genes

Objective: The incidence of colorectal cancer is increasing every year, and autophagy may be related closely to the pathogenesis of colorectal cancer. Autophagy is a natural catabolic mechanism that allows the degradation of cellular components in eukaryotic cells. However, autophagy plays a dual role in tumorigenesis. It not only promotes normal cell survival and tumor growth but also induces cell death and suppresses tumors survival. In addition, the pathogenesis of various conditions, including inflammation, neurodegenerative diseases, or tumors, is associated with abnormal autophagy. The present work aimed to examine the significance of autophagy-related genes (ARGs) in prognosis prediction, to construct an autophagy prognostic model, and to identify independent prognostic factors for colorectal cancer (CRC). Methods: This study discovered a total of 36 ARGs in CRC cases using The Cancer Genome Atlas (TCGA) and Human Autophagy-dedicated (HADd) databases along with functional enrichment analysis. Then, an autophagy prognostic model was constructed using univariate Cox regression analysis, and the key prognostic genes were screened. Finally, independent prognostic markers were determined through independent prognostic analysis and clinical correlation analysis of key genes. Results: Of the 36 differentially expressed ARGs, 13 were related to prognosis, as determined by univariate Cox regression analysis. A total of 6 key genes were obtained by a multivariate Cox regression analysis. Independent prognostic values were shown by 3 genes, namely, microtubule-associated protein 1 light chain 3 (MAP1LC3C), small GTPase superfamily and Rab family (RAB7A), and WD-repeat domain phosphoinositide-interacting protein 2 (WIPI2) by independent prognostic analysis and clinical correlation. Conclusions: In this study, molecular bioinformatics technology was employed to determine and construct a prognostic model of autophagy for colon cancer patients, which revealed 3 autophagy-related features, namely, MAP1LC3C, WIPI2, and RAB7A.

scholarly journals Identification of Immune-Related Prognostic mRNA and lncRNA in Patients with Hepatocellular Carcinoma

2022 ◽  
Vol 2022 ◽  
pp. 1-16
Author(s):  
Dan Chen ◽  
Xiaoting Li ◽  
Hui Li ◽  
Kai Wang ◽  
Xianghua Tian
Keyword(s):  
Hepatocellular Carcinoma ◽  
Flow Cytometry ◽  
T Cells ◽  
Regression Analysis ◽  
Survival Analysis ◽  
Immune Cells ◽  
Cox Regression ◽  
Differentially Expressed ◽  
Cox Regression Analysis ◽  
Immune Related Genes

Background. As the most common hepatic malignancy, hepatocellular carcinoma (HCC) has a high incidence; therefore, in this paper, the immune-related genes were sought as biomarkers in liver cancer. Methods. In this study, a differential expression analysis of lncRNA and mRNA in The Cancer Genome Atlas (TCGA) dataset between the HCC group and the normal control group was performed. Enrichment analysis was used to screen immune-related differentially expressed genes. Cox regression analysis and survival analysis were used to determine prognostic genes of HCC, whose expression was detected by molecular experiments. Finally, important immune cells were identified by immune cell infiltration and detected by flow cytometry. Results. Compared with the normal group, 1613 differentially expressed mRNAs (DEmRs) and 1237 differentially expressed lncRNAs (DElncRs) were found in HCC. Among them, 143 immune-related DEmRs and 39 immune-related DElncRs were screened out. These genes were mainly related to MAPK cascade, PI3K-AKT signaling pathway, and TGF-beta. Through Cox regression analysis and survival analysis, MMP9, SPP1, HAGLR, LINC02202, and RP11-598F7.3 were finally determined as the potential diagnostic biomarkers for HCC. The gene expression was verified by RT-qPCR and western blot. In addition, CD4 + memory resting T cells and CD8 + T cells were identified as protective factors for overall survival of HCC, and they were found highly expressed in HCC through flow cytometry. Conclusion. The study explored the dysregulation mechanism and potential biomarkers of immune-related genes and further identified the influence of immune cells on the prognosis of HCC, providing a theoretical basis for the prognosis prediction and immunotherapy in HCC patients.

scholarly journals Clinicopathological and molecular differences in colorectal cancer according to location

2019 ◽  
Vol 34 (1) ◽  
pp. 47-53 ◽  
Author(s):  
Yu-Lun Hsu ◽  
Chun-Chi Lin ◽  
Jeng-Kai Jiang ◽  
Hung-Hsin Lin ◽  
Yuan-Tzu Lan ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Colon Cancer ◽  
Overall Survival ◽  
Cox Regression ◽  
Rank Test ◽  
Advanced Tumor Stage ◽  
Tumor Seeding ◽  
Cox Regression Analysis ◽  
Advanced Tumor ◽  
Tumor Node Metastasis Stage

Purpose: The incidence, pathogenesis, molecular pathways, and outcomes of colorectal cancer vary depending on the location of the tumor. This study aimed to compare the difference in tumor characteristics and the outcome between right-sided colon cancer and left-sided colorectal cancer (LCRC). Materials and methods: A total of 1503 patients with colorectal cancer who underwent surgery at the Taipei Veterans General Hospital between 2000 and 2010 were enrolled in this study. Right-sided colon cancer was defined as cancers in the cecum, ascending colon, and transverse colon, while LCRC was defined as cancers in the splenic flexure colon, descending colon, sigmoid colon, and rectum. The endpoint was overall survival. The mutations were detected via polymerase chain reaction and MASS array. The prognostic value was determined using the log-rank test and the Cox regression analysis. Results: A total of 407 and 1096 cases were classified as right-sided colon cancer and LCRC, respectively. Compared to patients with LCRC, those with right-sided colon cancer had more mucinous type cancer (7.4% vs. 3.5%), poorly differentiated tumor (11.5% vs. 3.6%), and advanced tumor-node-metastasis stage. The risk for peritoneal tumor seeding was higher in the right-sided colon cancer group (12.8% vs. 5.7%). Overall survival was better in LCRC than in right-sided colon cancer ( P=0.036). Conclusions: In our study, right-sided colon cancer had a more advanced tumor stage, a higher risk of peritoneal metastasis, and a poorer outcome than LCRC. Moreover, right-sided colon cancer had more gene mutations in BRAF, KRAS, SMAD4, TGF-β, PIK3CA, PTEN, AKT1, and high microsatellite instability.

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.

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.

scholarly journals Influence of Old Age on Risk of Lymph Node Metastasis and Survival in Patients With T1 Colorectal Cancer: A Population-Based Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Hua Ye ◽  
Bin Zheng ◽  
Qi Zheng ◽  
Ping Chen
Keyword(s):  
Colorectal Cancer ◽  
Regression Analysis ◽  
Lymph Node ◽  
Elderly Patients ◽  
Old Age ◽  
Tumor Size ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
T1 Colorectal Cancer ◽  
Well Differentiated

BackgroundWe aimed at determining the influence of old age on lymph node metastasis (LNM) and prognosis in T1 colorectal cancer (CRC).MethodsWe collected data from eligible patients in Surveillance, Epidemiology, and End Results database between 2004 and 2015. Independent predictors of LNM were identified by logistic regression analysis. Cox regression analysis, propensity score-matched analysis, and competing risks analysis were used to analyze the associations between old age and lymph node (LN) status and to validate the prognostic value of old age on cancer-specific survival (CSS).ResultsIn total, 10,092 patients were identified. Among them, 6,423 patients (63.6%) had greater than or equal to 12 examined lymph nodes (LNE ≥12), and 5,777 patients (57.7%) were 65 years or older. The observed rate of LNM was 4.6% (15 out of 325) in T1 CRC elderly patients, with tumor size &lt;3 cm, well differentiated, with negative carcinoembryonic antigen (CEA) level, and adenocarcinoma. Logistic regression models demonstrated that tumor size ≥3 cm (odds ratio, OR = 1.316, P = 0.038), poorly differentiated (OR = 3.716, P &lt; 0.001), older age (OR = 0.633 for ages 65–79 years, OR = 0.477 for age over 80 years, both P &lt;0.001), and negative CEA level (OR = 0.71, P = 0.007) were independent prognostic factors. Cox regression analysis demonstrated that CSS was not significantly different between elderly patients undergoing radical resection with LNE ≥12 and those with LNE &lt;12 (hazard ratio = 0.865, P = 0.153), which was firmly validated after a propensity score-matched analysis by a competing risks model.ConclusionsThe predictive value of tumor size, grading, primary site, histology, CEA level, and age for LNM should be considered in medical decision making about local resection. We found that tumor size was &lt;3 cm, well differentiated, negative CEA level, and adenocarcinoma in elderly patients with T1 colorectal cancer which was suitable for local excision.

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