Treatment of cancer of the anal canal. The Hamburg experience

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 14062-14062
Author(s):  
V. Rudat ◽  
S. Streller ◽  
D. Rades
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Anal Canal ◽  
Survival Data ◽  
Cox Regression ◽  
Haemoglobin Concentration ◽  
International Standards ◽  
Surgical Approaches ◽  
Rank Test ◽  
Cox Regression Analysis

14062 Background: To compare surgical and non-surgical treatment approaches for anal cancer and to identify prognostic factors. Methods: Survival data of 214 patients with cancer of the anal canal were reviewed who were referred for radiotherapy to the Department of Radiation Oncology of the University of Hamburg, Germany between 1/88 and 3/05. 75 patients received a definitive radiochemotherapy (RCT) with 5-FU and MMC according to international standards, 43 an operation followed by RCT (OP+RCT), 37 an operation followed by irradiation (OP+RT), 25 an irradiation alone (RT) and 34 an operation alone because they refused a planned adjuvant RCT or RT. The operations had been performed by different referring hospitals in and around Hamburg. Results: The median follow-up time of the living patients was 67 months (1–200 months). The 10 year overall survival rate for RCT was 0.62 (95%CI 0.46–0.77), for OP+RCT 0.65 (95%CI 0.47–0.83), for OP+RT 0.55 (95%CI 0.37–0.74), for OP alone 0.51 (95%CI 0.26–0.75) and for RT alone 0.27 (95%CI 0.05–0.48). There was no statistical difference between the overall survival of patients who received RCT, OP+RCT and OP+RT according to Kaplan Meier analysis (log rank test, p = 0.71). Cox regression analysis was used to examine the simultaneous influence of the prognostic factors T, N, age, haemoglobin concentration before radiotherapy, gender, and grading on the survival of patients who were treated with RCT. The model (p = 0.015) revealed T and N to be the only statistically significant prognostic factors. Conclusions: The different surgical and non-surgical approaches to treat cancer of the anal canal in Hamburg obviously reflect the individual preferences of the different physicians. Statistical analysis did not show a benefit of an OP added to RCT. Prognostic factors for survival after RCT were the T- and N-stage. No significant financial relationships to disclose.

scholarly journals Comparison of Resected Malignant Tumors of the Right- and Left-Sided Colon—Is There a Difference?

2021 ◽  
Author(s):  
Adrienn Biró ◽  
László Ternyik ◽  
Krisztián Somodi ◽  
Anna Dawson ◽  
Eszter Csulak ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Survival Data ◽  
Cox Regression ◽  
Malignant Tumors ◽  
Rank Test ◽  
Cox Regression Analysis ◽  
Study Results ◽  
The Right

AbstractEmbryological, anatomical, and immunological differences between the right-sided and left-sided colons are well known, but the difference in oncological behavior of colon tumors has only recently become the main subject of studies. Published articles propose that there is a difference not only in symptoms, but also in survival. Our aim was to analyze the clinicopathological and oncological differences among our patients who had been operated for colon cancer in our department. We examined the historical data of our patients who underwent colon resection for malignancy between 1st of January 2016 and 31st of December 2018. Tumor markers, histological results, postoperative complications, and oncological therapies were investigated. The primary outcome was overall survival. We analyzed our patients’ survival data with Kaplan–Meier log-rank test and Cox regression analysis. In our study, 267 patients were enrolled. One hundred thirty-three (49.8%) patients had right-sided colon cancer; 134 (50.2%) patients had left-sided colon cancer. Patients with right-sided colon cancer were significantly more likely to have mucinous adenocarcinoma (p = 0.037). No significant differences were revealed in overall survival between right-sided colon cancer and left-sided colon cancer patients (p = 0.381). Additional subgroup analysis showed that there were no significant differences in overall survival for laterality neither in the metastatic group (p = 0.824) nor in the non-metastatic group (p = 0.345). Based on the conflicting previous study results, our findings repeatedly highlight that the relationship between tumor location in the colon and overall survival is not straightforward.

scholarly journals Establishment and Validation of an MTORC1 Signaling-Related Gene Signature to Predict Overall Survival in Patients with Hepatocellular Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Zheng Yao ◽  
Song Wen ◽  
Jun Luo ◽  
Weiyuan Hao ◽  
Weiren Liang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Decision Tree ◽  
Survival Data ◽  
Cox Regression ◽  
Gene Signature ◽  
Related Gene ◽  
Cox Regression Analysis ◽  
Cancer Hallmarks ◽  
Mtorc1 Signaling

Background. Accurate and effective biomarkers for the prognosis of patients with hepatocellular carcinoma (HCC) are poorly identified. A network-based gene signature may serve as a valuable biomarker to improve the accuracy of risk discrimination in patients. Methods. The expression levels of cancer hallmarks were determined by Cox regression analysis. Various bioinformatic methods, such as GSEA, WGCNA, and LASSO, and statistical approaches were applied to generate an MTORC1 signaling-related gene signature (MSRS). Moreover, a decision tree and nomogram were constructed to aid in the quantification of risk levels for each HCC patient. Results. Active MTORC1 signaling was found to be the most vital predictor of overall survival in HCC patients in the training cohort. MSRS was established and proved to hold the capacity to stratify HCC patients with poor outcomes in two validated datasets. Analysis of the patient MSRS levels and patient survival data suggested that the MSRS can be a valuable risk factor in two validated datasets and the integrated cohort. Finally, we constructed a decision tree which allowed to distinguish subclasses of patients at high risk and a nomogram which could accurately predict the survival of individuals. Conclusions. The present study may contribute to the improvement of current prognostic systems for patients with HCC.

scholarly journals Incidence, Survival, and Associated Factors Estimation in Osteosarcoma Patients with Lung Metastasis: A Single-center Experience of 11 Years in Tianjin, China

2021 ◽  
Author(s):  
Chao Zhang ◽  
Haixiao Wu ◽  
Guijun Xu ◽  
Wenjuan Ma ◽  
Lisha Qi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Overall Survival ◽  
Regression Analysis ◽  
Prognostic Factors ◽  
Lung Metastasis ◽  
Associated Factors ◽  
Cox Regression ◽  
Cancer Center ◽  
Single Center ◽  
Cox Regression Analysis

Abstract Background: Osteosarcoma is the most common primary malignant bone tumor. The current study was conducted to describe the general condition of patients with primary osteosarcoma in a single cancer center in Tianjin, China and to investigate the associated factors in osteosarcoma patients with lung metastasis. Methods: From February 2009 to October 2020, patients from Tianjin Medical University Cancer Institute and Hospital, China were retrospectively analyzed. The Kaplan–Meier method was used to evaluate the overall survival of osteosarcoma patients. Prognostic factors of patients with osteosarcoma were identified by the Cox proportional hazard regression analysis. Risk factor of lung metastasis in osteosarcoma were investigated by the logistic regression model. Results: A total of 203 patients were involved and 150 patients were successfully followed up for survival status. The 5-year survival rate of osteo-sarcoma patients was 70.0%. Surgery, bone and lung metastasis were the significant prognostic factors in multivariable Cox regression analysis. Twenty-one (10.3%) patients showed lung metastasis at the diagnosis of osteosarcoma and 67 (33%) lung metastases during the later course. T3 stage (OR=11.415, 95%CI 1.362-95.677, P=0.025) and synchronous bone metastasis (OR=6.437, 95%CI 1.69-24.51, P=0.006) were risk factors of synchronous lung metastasis occurrence. Good necrosis (≥90%, OR=0.097, 95%CI 0.028-0.332, P=0.000) and elevated Ki-67 (≥50%, OR=4.529, 95%CI 1.241-16.524, P=0.022) were proved to be significantly associated with metachronous lung metastasis occurrence. Conclusion: The overall survival, prognostic factors and risk factors for lung metastasis in this single center provided insight about osteosarcoma management.

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

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.

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.

BCIRG 001 molecular analysis: Identification of prognostic factors in patients (pts) receiving adjuvant therapy for node- positive (N+) breast cancer (BC)

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 525-525
Author(s):  
C. M. Dumontet ◽  
J. C. Reed ◽  
M. Krajewska ◽  
I. Treilleux ◽  
J. R. Mackey ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Adjuvant Therapy ◽  
Tau Protein ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Rank Test ◽  
Lymph Node Status ◽  
Training Set ◽  
Primary Tumors ◽  
Cox Regression Analysis

525 Background: BCIRG 001 (1,491 pts) demonstrated significant superiority of docetaxel/doxorubicin/cyclophosphamide (TAC) over fluorouracil/doxorubicin/cyclophosphamide (FAC) given as adjuvant therapy for N+ operable BC in terms of disease-free survival (DFS) and overall survival (OS) (Martin et al, N Eng J Med, 2005). This ancillary study was aimed to identify tumor-associated factors related to DFS and OS. Methods: Formalin-fixed primary tumors from pts in BCIRG 001 were analysed by immunohistochemistry. Protocol- specified assessment of histological grade (GR), tumor size (TS), estrogen (ER) and progesterone receptors (PR), lymph node status (LN), HER2, MUC1, Mib, p53, Bcl-2, Bax, Bcl-X, Bag-1, tubulin β isotypes II, III and IV, tau protein and detyrosinated a tubulin was performed. Parameters were scored as the percentage of positive cells and analysed as lower or greater than median values. The samples were randomly split into training (2/3) and validation (1/3) sets. Associations between selected parameters and DFS or OS were tested through univariate analyses using the Kaplan Meier method (log-rank test) on the training set. A backward stepwise Cox regression analysis was performed to identify the final model of prognostic factors on the training set. Multivariate analyses were applied to the validation set. Results: 1,350 samples were split into a training (n=906) and a validation (n=444) set. In univariate GR, TS, LN, ER and PR, Mib, tau protein and HER2 were correlated with DFS in both sets. In multivariate ER, PR, TS, LN, Mib (all p<0.01) and tau (p=0.043) were significantly associated with DFS in the training set. In univariate GR, TS, LN, ER and PR, Mib, MUC1, Bcl-2, tubulin III and IV and tau were correlated with OS in both sets, with a trend for p53. In multivariate ER, TS, LN, Mib, p53 (all p<0.01) and PR (p=0.028) were independently correlated with OS in the training set. Conclusions: These data suggest that tau and p53 are independent markers of DFS and OS, respectively, while Mib is correlated with both DFS and OS in pts receiving these forms of adjuvant chemotherapy for N+ BC. Complementary analyses will be presented. No significant financial relationships to disclose.

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 Analysis of Immune-Related Signatures Related to CD4+ T Cell Infiltration With Gene Co-Expression Network in Pancreatic Adenocarcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Zhen Tan ◽  
Yubin Lei ◽  
Bo Zhang ◽  
Si Shi ◽  
Jiang Liu ◽  
...  
Keyword(s):  
Overall Survival ◽  
Molecular Mechanisms ◽  
Cox Regression ◽  
Risk Groups ◽  
Gene Signature ◽  
Gene Expression Omnibus ◽  
Ductal Adenocarcinoma ◽  
Rank Test ◽  
Cancer Center ◽  
Cox Regression Analysis

BackgroundPancreatic ductal adenocarcinoma (PDAC) is one of the most invasive solid malignancies. Immunotherapy and targeted therapy confirmed an existing certain curative effect in treating PDAC. The aim of this study was to develop an immune-related molecular marker to enhance the ability to predict Stages III and IV PDAC patients.MethodIn this study, weighted gene co-expression network (WGCNA) analysis and a deconvolution algorithm (CIBERSORT) that evaluated the cellular constituent of immune cells were used to evaluate PDAC expression data from the GEO (Gene Expression Omnibus) datasets, and identify modules related to CD4+ T cells. LASSO Cox regression analysis and Kaplan–Meier curve were applied to select and build prognostic multi-gene signature in TCGA Stages III and IV PDAC patients (N = 126). This was followed by independent Stages III and IV validation of the gene signature in the International Cancer Genome Consortium (ICGC, N = 62) and the Fudan University Shanghai Cancer Center (FUSCC, N = 42) cohort. Inherited germline mutations and tumor immunity exploration were applied to elucidate the molecular mechanisms in PDAC. Univariate and Multivariate Cox regression analyses were applied to verify the independent prognostic factors. Finally, a prognostic nomogram was created according to the TCGA-PDAC dataset.ResultsA four-gene signature comprising NAPSB, ZNF831, CXCL9 and PYHIN1 was established to predict overall survival of PDAC. This signature also robustly predicted survival in two independent validation cohorts. The four-gene signature could divide patients into high and low-risk groups with disparity overall survival verified by a Log-rank test. Expression of four genes positively correlated with immunosuppression activity (PD-L1 and PD1). Immune-related genes nomogram and corresponding calibration curves showed significant performance for predicting 3-year survival in TCGA-PDAC dataset.ConclusionWe constructed a novel four-gene signature to predict the prognosis of Stages III and IV PDAC patients by applying WGCNA and CIBERSORT algorithm scoring to transcriptome data different from traditional methods of filtrating for differential genes in cancer and healthy tissues. The findings may provide reference to predict survival and was beneficial to individualized management for advanced PDAC patients.

scholarly journals Development and Validation of Nomograms to Predict Prognosis of Oral and Oropharyngeal Mucoepidermoid Carcinoma: A SEER-Based Study

2020 ◽  
Author(s):  
muyuan liu ◽  
Litian Tong ◽  
Manbin Xu ◽  
Xiang Xu ◽  
Bin Liang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Mucoepidermoid Carcinoma ◽  
Cox Regression ◽  
Seer Database ◽  
Disease Specific Survival ◽  
Cox Regression Analysis ◽  
T Stage ◽  
N Stage ◽  
Disease Specific

Abstract Background: Due to the low incidence of mucoepidermoid carcinoma, there lacks sufficient studies for determining optimal treatment and predicting prognosis. The purpose of this study was to develop prognostic nomograms, to predict overall survival and disease-specific survival (DSS) of oral and oropharyngeal mucoepidermoid carcinoma patients, using the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) database. Methods: Clinicopathological and follow-up data of patients diagnosed with oral and oropharyngeal mucoepidermoid carcinoma between 2004 and 2017 were collected from the SEER database. The Kaplan-Meier method with the log-rank test was employed to identify single prognostic factors. Multivariate Cox regression was utilized to identify independent prognostic factors. C-index, area under the ROC curve (AUC) and calibration curves were used to assess performance of the prognostic nomograms. Results: A total of 1230 patients with oral and oropharyngeal mucoepidermoid carcinoma were enrolled in the present study. After multivariate Cox regression analysis, age, sex, tumor subsite, T stage, N stage, M stage, grade and surgery were identified as independent prognostic factors for overall survival. T stage, N stage, M stage, grade and surgery were identified as independent prognostic factors for disease-specific survival. Nomograms were constructed to predict the overall survival and disease-specific survival based on the independent prognostic factors. The fitted nomograms possessed excellent prediction accuracy, with a C-index of 0.899 for OS prediction and 0.893 for DSS prediction. Internal validation by computing the bootstrap calibration plots, using the validation set, indicated excellent performance by the nomograms. Conclusion: The prognostic nomograms developed, based on individual clinicopathological characteristics, in the present study, accurately predicted the overall survival and disease-specific survival of patients with oral and oropharyngeal mucoepidermoid carcinoma.

scholarly journals Prognostic Factors in Elderly Patients with High-grade Gliomas: A Retrospective Analysis of 24 Cases

2018 ◽  
Vol 09 (03) ◽  
pp. 312-316 ◽  
Author(s):  
Meenu Gupta ◽  
Saurabh Bansal ◽  
Deep Shankar Pruthi ◽  
Manju Saini ◽  
Nadia Shirazi ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Elderly Patients ◽  
Retrospective Analysis ◽  
Cox Regression ◽  
Rank Test ◽  
Karnofsky Performance Scale ◽  
High Grade ◽  
Concomitant Chemotherapy ◽  
Cox Regression Analysis ◽  
High Grade Gliomas

ABSTRACT Background and Objectives: Due to the aging of the population, diagnosis of high-grade gliomas (HGGs) in the elderly is becoming more common. The purpose of this study was to report our experience in 24 elderly patients with HGGs and evaluate the value of different prognostic factors. Design and Setting: Retrospective analysis of 24 elderly patients of ≥60 years with newly diagnosed HGGs, who were treated at our department between January 2009 and December 2012, was done. Patients and Methods: Age, gender, Karnofsky performance scale (KPS) score, extent of surgery, and use of temozolomide were evaluated using univariate and multivariate analyses. Survival was determined using the Kaplan–Meier method, and differences were compared using the log-rank test. Cox regression analysis was conducted to identify the independent prognostic factors. Results: The median overall survival of the patient cohort was 10 months. The 1- and 2-year survival rates were 45.8% and 16.6%, respectively. The analysis revealed that KPS score and use of concomitant chemotherapy were significant prognostic factors. Conclusion: The results of our analyses demonstrate that KPS score and use of concomitant chemotherapy yield encouraging outcomes in elderly patients with HGGs, validating the results published in research papers.

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