Physical function and quality of life in frail and/or elderly metastatic colorectal cancer patients treated with bevacizumab and capecitabine: An exploratory analysis.

2012 ◽  
Vol 30 (4_suppl) ◽  
pp. 627-627
Author(s):  
Peter Richard Ward ◽  
Andre K. D. Liem ◽  
He-jing Wang ◽  
Ravi Patel ◽  
Eddie Hong-Lung Hu ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Colorectal Cancer ◽  
Regression Analysis ◽  
Elderly Patients ◽  
Metastatic Colorectal Cancer ◽  
Functional Status ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Functional Measures

627 Background: Optimal treatment strategies in frail and/or elderly patients with metastatic colorectal cancer have not been well defined. Although the safety and efficacy of bevacizumab and capecitabine in this population has been reported, the impact on functional measures and quality of life has not been well described. In a prospective, phase II study of elderly metastatic colorectal patients with ECOG performance status (PS) 1 or 2 treated with first-line bevacizumab and capecitabine, we collected data on geriatric functional status and quality of life. The primary aim of this analysis was to explore the differences in geriatric health measures between patients with ECOG status 1 and 2. Methods: Functional status was measured by patient-reported limitations in ADLs and IADLs and ECOG PS was assessed. A “Get up and Go” test, hearing test, and 3-item recall exam was also performed. Quality of life (QoL) was assessed by means of the FACT-C questionnaire and patient-rated health status was measured by the EQ-5D questionnaire. The prognostic impact of baseline characteristics on survival was studied using univariate Cox-regression analysis. Results: The majority (62%) of the 45 participants treated were ECOG 2. This group had more limitations in IADLs, lower baseline QoL, and a lower patient-rated health score. For all participants, QoL significantly improved from baseline to the start of cycle 2 (FACT-C: 99.9 vs. 105.4, p=0.01) and did not deteriorate when baseline scores were compared to when participants went off study. (FACT-C: 99.9 vs. 98.6, p=0.59). In the Cox-regression analysis, the participant’s ability to perform the “Get up and Go” test was the only baseline characteristic that was prognostic for improved survival (HR = 0.31, p = 0.01). Conclusions: Our analysis shows that in this study of frail and/or elderly patients with metastatic colorectal cancer treated with bevacizumab and capecitabine, there is a significant amount of heterogeneity between the ECOG 1 and 2 groups in both functional measures and quality of life. We also showed that the “Get up and Go” test may be a useful prognostic indicator for survival in this population.

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 <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 < 0.001), older age (OR = 0.633 for ages 65–79 years, OR = 0.477 for age over 80 years, both P <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 <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 <3 cm, well differentiated, negative CEA level, and adenocarcinoma in elderly patients with T1 colorectal cancer which was suitable for local excision.

HPV and （ Neutrophil-to-lymphocyte ratio ） NLR are Prognostic Indicators of Laryngeal Cancer Patients Receiving Concurrent Chemoradiotherapy

2021 ◽  
Author(s):  
Ke-jie Li ◽  
Qi-yuan Lv ◽  
Yu-yan Xu ◽  
Zhen-yong Shao ◽  
Chang-Lin Zou ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Laryngeal Cancer ◽  
Roc Curve ◽  
Concurrent Chemoradiotherapy ◽  
Cox Regression ◽  
Individualized Treatment ◽  
Cox Regression Analysis

Abstract Background and objectives: After receiving radical concurrent radiotherapy and chemotherapy, some patients with laryngeal cancer still have recurrence, and the recurrence time of different patients is different, which will pose a threat to the quality of life and survival of patients. The purpose of our study is to find out the factors that can predict the recurrence of laryngeal cancer, provide more accurate and individualized treatment for patients with laryngeal cancer, and improve the quality of life of patients.Methods：We collected follow-up data from 123 patients with laryngeal cancer who were admitted to the First Affiliated Hospital of Wenzhou Medical University between 2010 and 2015. These patients received only radical concurrent chemoradiotherapy after diagnosis. Univariate Cox analysis was used to find the factors related to Progression-free survival（PFS）in patients with laryngeal cancer. Multivariate Cox regression analysis was used to determine the factors and indicators that could predict patients' PFS. The Receiver Operating Characteristic curve（ROC curve） was used to determine the optimal truncation value of the forecast index.Results：Univariate Cox regression analysis showed that HPV, lymph node metastasis, NLR, （lymphocyte-to-monocyte Ratio）LMR and white blood cell count were related to PFS in patients with laryngeal cancer. Multivariate Cox regression analysis showed that positive HPV and NLR were effective predictors of PFS in laryngeal cancer. According to the ROC curve, the area under the curve of NLR is 0.743, and the optimal truncation value is 2.26.Conclusions：HPV and NLR are reliable predictors of PFS in patients with laryngeal cancer receiving concurrent chemoradiotherapy, which can provide help and suggestions for follow-up and individualized treatment of laryngeal cancer after treatment.

scholarly journals TAS-102 in metastatic colorectal cancer (mCRC): efficacy, tolerability, and quality of life in heavily pretreated elderly patients: a real-life study

2020 ◽  
Vol 9 ◽  
pp. 1-8
Author(s):  
Giuseppe Cicero ◽  
Raffaele Addeo ◽  
Rossella De Luca ◽  
Giuseppe Lo Re ◽  
Leonardo Gulotta ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Colorectal Cancer ◽  
Elderly Patients ◽  
Metastatic Colorectal Cancer ◽  
Real Life ◽  
Life Study ◽  
Heavily Pretreated ◽  
Real Life Study

scholarly journals Quality-of-life findings from a randomised phase-III study of XELOX vs FOLFOX-6 in metastatic colorectal cancer

2009 ◽  
Vol 102 (1) ◽  
pp. 59-67 ◽  
Author(s):  
T Conroy ◽  
M Hebbar ◽  
J Bennouna ◽  
M Ducreux ◽  
M Ychou ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Colorectal Cancer ◽  
Metastatic Colorectal Cancer ◽  
Phase Iii ◽  
Phase Iii Study

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.

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