Preoperative fall risk assessment score as a prognostic factor in gastric cancer patients after gastrectomy

Author(s):  
Keita Kouzu ◽  
Hironori Tsujimoto ◽  
Hiromi Nagata ◽  
Hidekazu Sugasawa ◽  
Yusuke Ishibashi ◽  
...  

Abstract Objective Falls are related to frailty, which is known as an unfavorable prognosticator of gastric cancer. In this study, we investigated the influence of the fall risk assessment score on short- and long-term prognoses in patients with gastric cancer after gastrectomy. Methods A total of 430 patients who underwent gastrectomy for gastric cancer were included in this retrospective study. The fall risk assessment score was scored by nursing staffs on admission. We investigated the relationships between the fall risk assessment score and clinicopathological findings, postoperative outcomes and prognoses. We assigned patients with a fall risk assessment score ≥7 to the high-risk group (92 cases, 21.4%) and those with a fall risk assessment score <6 to the low-risk group (338 cases, 78.6%). Results There were no significant differences between the two groups in pathological stage of gastric cancer and postoperative complications, but the high-risk group had significantly longer postoperative hospital stays than the low-risk group (P < 0.001). The overall and the relapse-free survival rates in the high-risk group were significantly lower than those in the low-risk group. The high-risk group was one of the independent poor prognostic factors for overall survival, with a hazard ratio of 2.91 (P ≤ 0.001) in univariate analysis and a hazard ratio of 2.74 (P = 0.008) in multivariate analysis. Conclusions While the fall risk assessment score is an objective and easy-to-use method to assess fall risk and frailty, it may present a prognostic factor in gastric cancer.

2021 ◽  
Vol 10 (24) ◽  
pp. 5966
Author(s):  
Keita Kouzu ◽  
Hironori Tsujimoto ◽  
Yusuke Ishibashi ◽  
Hanae Shinada ◽  
Isawo Oikawa ◽  
...  

The current study investigated the impact of preoperative fall risk assessment score (FRAS) on long-term prognoses in patients with esophageal cancer (EC). A total of 161 patients with EC who underwent curative surgery were classified into a high-risk (95, 41.0%) and low-risk (66, 41.0%) groups according to their FRAS. This study investigated the relationships between the FRAS and clinicopathological findings and prognoses. Accordingly, patients in the high-risk group were significantly older and had a significantly higher Charlson comorbidity index than those in the low-risk group. No significant difference was found in pathological findings between both groups. The high-risk group had significantly lower overall survival (OS) and relapse-free survival (RFS) rates than the low-risk group (p = 0.004 and 0.001, respectively). Multivariate analysis identified high FRAS as an independent prognostic factor for poor OS, with a hazard ratio of 1.75 (p = 0.033). Moreover, re-analysis of the data after excluding age as a category showed that the high-risk group had significantly worse OS (p = 0.004) and RFS (p = 0.003) than the low-risk group. The FRAS can, therefore, be considered a useful method for assessing frailty and a potential prognostic factor for EC.


2021 ◽  
Vol 11 ◽  
Author(s):  
Haixu Wang ◽  
Qingkai Meng ◽  
Bin Ma

N6-methyladenosine (m6A) is a common form of mRNA modification regulated by m6A RNA methylation regulators and play an important role in the progression of gastric cancer (GC). However, the prognostic role of m6A-related lncRNA in gastric cancer has not been fully explored. This study aims at exploring the biological function and prognostic roles of the m6A-related lncRNA signature in gastric cancer. A total of 800 m6A-related lncRNAs were identified through Pearson correlation analysis between m6A regulators and all lncRNAs. Eleven m6A-related lncRNA signatures were identified through a survival analysis and the Kaplan-Meier (KM) curve analysis results suggest that patients in the low-risk group have a better overall survival (OS) and disease-free survival (DFS) outcome than the high-risk group. Also, the lncRNA signature can serve as an independent prognostic factor for OS and DFS. The gene set enrichment analysis (GSEA) result suggests that patients in the high-risk group were mainly enriched in the ECM receptor interaction, focal adhesion, and cytokine-cytokine receptor interaction pathway, while the low-risk group was characterized by the base excision repair pathway. We further constructed an individualized prognostic prediction model via the nomogram based on the independent prognostic factor for the OS and DFS, respectively. In addition, some candidate drugs aimed at GC risk group differentiation were identified using the Connective Map (CMAP) database. Lastly, four subgroups (C1, C2, C3, and C4) were identified based on the m6A-related lncRNA expression, through a consensus clustering algorithm. Among them, C1 and C2 have a greater likelihood to respond to immune checkpoint inhibitor immunotherapy, suggesting that the C1 and C2 subgroup might benefit from immunotherapy. In conclusion, the m6A-related lncRNA signature can independently predict the OS and DFS of GC and may aid in development of personalized immunotherapy strategies.


2017 ◽  
Vol 27 (1) ◽  
pp. 81-91 ◽  
Author(s):  
Anand Veeravagu ◽  
Amy Li ◽  
Christian Swinney ◽  
Lu Tian ◽  
Adrienne Moraff ◽  
...  

OBJECTIVEThe ability to assess the risk of adverse events based on known patient factors and comorbidities would provide more effective preoperative risk stratification. Present risk assessment in spine surgery is limited. An adverse event prediction tool was developed to predict the risk of complications after spine surgery and tested on a prospective patient cohort.METHODSThe spinal Risk Assessment Tool (RAT), a novel instrument for the assessment of risk for patients undergoing spine surgery that was developed based on an administrative claims database, was prospectively applied to 246 patients undergoing 257 spinal procedures over a 3-month period. Prospectively collected data were used to compare the RAT to the Charlson Comorbidity Index (CCI) and the American College of Surgeons National Surgery Quality Improvement Program (ACS NSQIP) Surgical Risk Calculator. Study end point was occurrence and type of complication after spine surgery.RESULTSThe authors identified 69 patients (73 procedures) who experienced a complication over the prospective study period. Cardiac complications were most common (10.2%). Receiver operating characteristic (ROC) curves were calculated to compare complication outcomes using the different assessment tools. Area under the curve (AUC) analysis showed comparable predictive accuracy between the RAT and the ACS NSQIP calculator (0.670 [95% CI 0.60–0.74] in RAT, 0.669 [95% CI 0.60–0.74] in NSQIP). The CCI was not accurate in predicting complication occurrence (0.55 [95% CI 0.48–0.62]). The RAT produced mean probabilities of 34.6% for patients who had a complication and 24% for patients who did not (p = 0.0003). The generated predicted values were stratified into low, medium, and high rates. For the RAT, the predicted complication rate was 10.1% in the low-risk group (observed rate 12.8%), 21.9% in the medium-risk group (observed 31.8%), and 49.7% in the high-risk group (observed 41.2%). The ACS NSQIP calculator consistently produced complication predictions that underestimated complication occurrence: 3.4% in the low-risk group (observed 12.6%), 5.9% in the medium-risk group (observed 34.5%), and 12.5% in the high-risk group (observed 38.8%). The RAT was more accurate than the ACS NSQIP calculator (p = 0.0018).CONCLUSIONSWhile the RAT and ACS NSQIP calculator were both able to identify patients more likely to experience complications following spine surgery, both have substantial room for improvement. Risk stratification is feasible in spine surgery procedures; currently used measures have low accuracy.


Author(s):  
Shilang Xiao ◽  
Xiaoming Liu ◽  
Lingzhi Yuan ◽  
Fen Wang

Background: Accumulating literature demonstrates that long noncoding RNAs (lncRNAs) are involved in ferroptosis and gastric cancer progression. However, the predictive value of ferroptosis-related lncRNAs for prognosis and therapeutic response is yet to be elucidated in gastric cancer (GC).Method: The transcriptomic data and corresponding clinical information of GC patients were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database. The association between ferroptosis-related lncRNAs and ferroptosis regulators was analyzed by Spearman correlation analysis. Then, we established a risk predictive model based on the ferroptosis-related lncRNAs using multivariate Cox regression analysis. Furthermore, we performed correlation analysis for the risk score and characteristics of biological processes, immune landscape, stromal activity, genomic integrity, drug response, and immunotherapy efficacy.Results: We constructed a 17-ferroptosis-related-lncRNA signature via multivariate Cox analysis to divide patients into two groups: low- and high-risk groups. The low-risk group was linked to prolonged overall survival and relapse-free survival. The risk score had good predictive ability to predict the prognosis of GC patients compared with other clinical biomarkers. We found that the high-risk group was associated with activation of carcinogenetic signaling pathways, including stromal activation, epithelial-mesenchymal-transition (EMT) activation, and immune escape through integrated bioinformatics analysis. In contrast, the low-risk group was associated with DNA replication, immune-flamed state, and genomic instability. Additionally, through Spearman correlation analysis, we found that patients in the high-risk group may respond well to drugs targeting cytoskeleton, WNT signaling, and PI3K/mTOR signaling, and drugs targeting chromatin histone acetylation, cell cycle, and apoptosis regulation could bring more benefits for the low-risk group. The high-risk group was associated with poor immunotherapy efficacy.Conclusion: Our study systematically evaluated the role of ferroptosis-related lncRNAs in t tumor microenvironment, therapeutic response, and prognosis of GC. Risk score–based stratification could reflect the characteristic of biological processes, immune landscape, stromal activity, genomic stability, and pharmaceutical profile in GC patients. The ferroptosis-related lncRNA signature could serve as a reliable biomarker to predict prognosis and therapeutic response of patients with GC.


2021 ◽  
Author(s):  
Fang Wen ◽  
Xiaoxue Chen ◽  
Wenjie Huang ◽  
Shuai Ruan ◽  
Suping Gu ◽  
...  

Abstract Background: The diagnosis rate and mortality of gastric cancer (GC) are among the highest in the global, so it is of great significance to predict the survival time of GC patients. Ferroptosis and iron-metabolism make a critical impact on tumor development and are closely linked to the treatment of cancer and the prognosis of patients. However, the predictive value of the genes involved in ferroptosis and iron-metabolism in GC and their effects on immune microenvironment remain to be further clarified.Methods: In this study, the RNA sequence information and general clinical indicators of GC patients were acquired from the public databases. We first systematically screen out 134 DEGs and 13 PRGs related to ferroptosis and iron-metabolism. Then, we identified six PRDEGs (GLS2, MTF1, SLC1A5, SP1, NOX4, and ZFP36) based on the LASSO-penalized Cox regression analysis. The 6-gene prognostic risk model was established in the TCGA cohort and the GC patients were separated into the high- and the low-risk groups through the risk score median value. GEO cohort was used for verification. The expression of PRDEGs was verified by quantitative QPCR.Results: Our study demonstrated that patients in the low-risk group had a higher survival probability compared with those in high-risk group. In addition, univariate and multivariate Cox regression analyses confirmed that the risk score was an independent prediction parameter. The ROC curve analysis and nomogram manifested that the risk model had the high predictive ability and was more sensitive than general clinical features. Furthermore, compared with the high-risk group, the low-risk group had higher TMB and a longer 5-year survival period. In the immune microenvironment of GC, there were also differences in immune function and highly infiltrated immune cells between the two risk groups.Conclusions: The prognostic risk model based on the six genes associated with ferroptosis and iron-metabolism has a good performance for predicting the prognosis of patients with GC. The treatment of cancer by inducing tumor ferroptosis or mediating tumor iron-metabolism, especially combined with immunotherapy, provides a new possibility for individualized treatment of GC patients.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I Piras ◽  
G Murenu ◽  
G Piras ◽  
G Pia ◽  
A Azara ◽  
...  

Abstract Background Falls in hospital are adverse events with serious consequences for the patient. Fall risk assessment requires easy tools that are suitable for the specific clinical context. This is important to quickly identify preventing measures. The aim of the study is to identify an appropriate scale for assessing fall risk in patients from an emergency department. Methods For the fall risk assessment in the emergency department, three scales were identified in literature: Kinder 1, MEDFRAT, and Morse. MEDFRAT and Morse classify the patient in high, moderate, and low risk; Kinder 1 split patients “at risk” (also when there is only one positive item) and “non-risk” (in which all items are negative). The study was carried out in July 2019 in an Italian emergency department. Patients who arrived in triage were assessed for the fall risk using the three scales. Results On a sample of 318 patients, the used scales show different levels of fall risk. For Kinder 1, 83.02% is at risk and 16.98% is not at risk; for MEDFRAT, 14.78% is at high risk, 15.09% moderate, and 70.13% low risk; for Morse, 8.81% is at high risk, 35.53% moderate, and 56.66% low risk. As Kinder 1 implies as “high risk” that all items of the questionnaire are positive, to compare Kinder 1 to the other scales with three measurements, we assumed only one positive response as “moderate risk”, all negative responses as “low risk”. Thus, Kinder 1 shows no cases at high risk, 83.02% moderate risk, and 16.98% low risk. All the scales show that the moderate-high risk increases with age. MEDFRAT and Morse have concordant percentages for young (13.6%), elderly (61.2%), and long-lived (66.6%) people. Kinder 1, 59%, 96.7%, and 100%, respectively. Conclusions The comparison between scales shows inhomogeneity in identifying the level of risk. MEDFRAT and Morse appear more reliable and consistent. Key messages An appropriate assessment scale is important to identify the fall risk level. Identifying accurate fall risk levels allows for implementing specific prevention actions.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Wenkai Han ◽  
Xiaoyan Xu ◽  
Kai Che ◽  
Guofeng Ma ◽  
Danxia Li ◽  
...  

Background. Autophagy plays an essential role in tumorigenesis. At present, due to the unclear role of autophagy in renal clear cell carcinoma, we studied the potential value of autophagy-related genes (ARGs) in renal clear cell carcinoma (ccRCC). Methods. We obtained all ccRCC data from The Cancer Genome Atlas (TCGA). We extracted the expression data of ARGs for difference analysis and carried out biological function analysis on the different results. The autophagy risk model was constructed. The 5-year survival rate was assessed using the model, and the predictive power of the model was evaluated from multiple perspectives. Cox regression analysis was use to assess whether the model could be an independent prognostic factor. Finally, the correlation between the model and clinical indicators is analyzed. Results. The patients were divided into the high-risk group and low-risk group according to the median of autophagy risk score, and the results showed that the prognosis of the low-risk group was better than that of a high-risk group. The validation results of external data sets show that our model has good predictive value for ccRCC patients. The model can be an independent prognostic factor. Finally, the results show that our model has a stable predictive ability. Conclusion. The autophagy gene model we constructed can be used as an excellent prognostic indicator for ccRCC. Our study provides the possibility of individualized and precise treatment for ccRCC patients.


Author(s):  
Shuang Dai ◽  
Tao Liu ◽  
Xiao-Qin Liu ◽  
Xiao-Ying Li ◽  
Ke Xu ◽  
...  

Background: Tumor immune microenvironment plays a vital role in tumorigenesis and progression of gastric cancer (GC), but potent immune biomarkers for predicting the prognosis have not been identified yet.Methods: At first, RNA-sequencing and clinical data from The Cancer Genome Atlas (TCGA) were mined to identify an immune-risk signature using least absolute shrinkage and selection operator (LASSO) regression and multivariate stepwise Cox regression analyses. Furthermore, the risk score of each sample was calculated, and GC patients were divided into high-risk group and low-risk group based on their risk scores. Subsequently, the performance of this signature, including the correlation with overall survival (OS), clinical features, immune cell infiltration, and immune response, has been tested in GC data from TCGA database and Gene Expression Omnibus (GSE84437), respectively.Results: An immune signature composed of four genes (MAGED1, ACKR3, FZD2, and CTLA4) was constructed. The single sample gene set enrichment analysis (ssGSEA) indicated that activated CD4+/CD8+ T cell, activated dendritic cell, and effector memory CD8+ T cell prominently increased in the low-risk group, showing relatively high immune scores and low stromal scores. Further GSEA analysis indicated that TGF-β, Ras, and Rap1 pathways were activated in the high-risk group, while Th17/Th1/Th2 differentiation, T cell receptor and PD-1/PD-L1 checkpoint pathways were activated in the low-risk group. Low-risk patients presented higher tumor mutation burden (TMB) and expression of HLA-related genes. The immune-associated signature showed an excellent predictive ability for 2-, 3-, and 5-year OS in GC.Conclusion: The immune-related prognosis model contributes to predicting the prognosis of GC patients and providing valuable information about their response to immunotherapy using integrated bioinformatics methods.


2022 ◽  
Vol 2022 ◽  
pp. 1-17
Author(s):  
Lei Zhang ◽  
Dahai Hu ◽  
Shuchen Huangfu ◽  
Jiaxin Zhou ◽  
Wei Wang ◽  
...  

The genomic variant features (mutations, deletions, structural variants, etc.) within gastric cancer impact its evolution and immunogenicity. The tumor has developed several coping strategies to respond to these changes by DNA repair and replication (DRR). However, the intrinsic relationship between the associated DRR-related genes and gastric cancer progression remained unknown. This study selected DRR-related genes with tumor mutation burden based on the TCGA (The Cancer Genome Atlas) database of gastric cancer transcriptome and mutation data. The prognosis model of seven genes (LAMA2, CREB3L3, SELP, ABCC9, CYP1B1, CDH2, and GAMT) was constructed by a univariate and LASSO regression analysis and divided into high-risk and low-risk groups with the median risk score. Survival analysis showed that overall survival (OS) was lower in the high-risk group than that in the low-risk group. Moreover, patients with gastric cancer in the high-risk group have worse survival in different subgroups, including age, gender, histological grade, and TNM stage. The nomogram that included risk scores for DRR-related genes could accurately foresee OS of patients with gastric cancer. Interestingly, the tumor mutation burden score was higher in the low-risk group than that in the high-risk group, and the risk score for DRR-related genes was negatively correlated with tumor mutation burden in gastric cancer. Next, we further combined the risk score and tumor mutation burden to evaluate the prognosis of gastric cancer patients. The low-risk cohort had a better prognosis than the high-risk cohort in the high tumor mutation burden subgroup. The number of mutation types in the high-risk group was lower than that in the low-risk group. In the immune microenvironment of gastric cancer, more naïve B cells, memory resting CD4+ T cells, Treg cells, monocytes cells, and resting mast cells were infiltrated in the high-risk group. At last, PD-L1 and IAP expressions were negatively correlated with the risk scores; patients with gastric cancer in the low-risk group showed better immunotherapy outcomes than those in the high-risk group. Overall, the DRR-related gene signature based on tumor mutation burden is a novel biomarker for prognostic and immunotherapy response in patients with gastric cancer.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 1707-1707
Author(s):  
Ho-Jin Shin ◽  
Jooseop Chung ◽  
Hyeoung Joon Kim ◽  
Sang Kyun Sohn ◽  
Yoo-Hong Min ◽  
...  

Abstract Abstract 1707 Core binding factor AML including t(8;21) and inv(16) have been associated with a relatively favorable prognosis compared with patients with normal or adverse karyotypes, and treated similarly. However, both t(8;21) and inv(16) AML seem to differ with respect to several biologic features and several reports demonstrated inferior outcome of t(8;21) compared with inv(16). Advanced age, higher WBC or granulocytic count, as well as CD56 expression or granulocytic sarcoma have been reported as poor prognostic factors in t(8;21) patients. Higher bone marrow (BM) blasts, lower platelets, and non-white race in t(8;21) AML adversely affected the probability to achieve CR. The KIT mutation is associated with poor prognosis in AML1-ETO-positive AML. Five-year survival rate was only around 40% in patients with t(8;21) having poor prognostic factors. Several chemotherapeutic strategies have been reported, among which high-dose cytarabine (HDAC) is generally the most effective option for successful postremission therapy. Furthermore, none of the randomized studies disclosed an advantage of allogeneic SCT (alloSCT) in this group of patients, given the relatively high treatment-related death (TRD) rate. Patients with t(8;21) AML with unfavorable prognosis may benefit from intensive postremission therapy such as early hematopoietic SCT. We conducted a retrospective study to investigate whether postremission therapies impact on survival according to prognostic factors in 132 AML patients with t(8;21) achieving first CR. Univariate analyses of prognostic factors for survival were performed in the patients with t(8;21), as well as more limited population of chemotherapy (CTx) group according to postremission therapies. The BM cellularity was a single most important independent prognostic factor on survival when using BM cellularity cutoffs as 90%. The 5-year overall survival (OS) in patients with t(8;21) and CTx group were significantly lower at 49.7% and 44.3% in patients with ≥ 90% BM cellularity, compared with 81.4% and 81.9% in those with < 90% BM cellularity, respectively (P = 0.001 and 0.027, respectively). The only other prognostic factor that influenced OS in CTx group was WBC count with cutoffs as 9.1 × 109/L. High WBC count was trend towards poor OS in CTx group (P = 0.067). In multivariate analysis, BM cellularity appeared to be the only independent prognostic factor for OS in either AML patients with t(8;21) (P = 0.002) or CTx group (P = 0.055). Interestingly, we found positive correlation between BM cellularity and WBC count (P = 0.013), peripheral blood (PB) blast percentage (P = 0.001) and serum LDH level (P = 0.017) but not hemoglobin level and BM blast percentage in a linear regression model. And also, we confirmed negative correlation between BM cellularity and platelet count (P = 0.009). It is speculated that BM cellularity represents on poor prognostic factors including WBC and platelet counts, and PB blast percentage in patients with t(8;21). By combining dichotomized WBC count and BM cellularity in a univariate analysis for OS in CTx group, three risk groups could be established: low risk group, WBC count less than 9.1 × 109/L and BM cellularity less than 90%; intermediate risk group, WBC count ≥ 9.1 × 109/L and BM cellularity less than 90%; high risk group, BM cellularity ≥ 90%. In CTx group, 5-year OS was 81.9% in low risk group, 64.8% in intermediate group, and 32.1% in high risk group (P = 0.041). In alloSCT group, 5-year OS was 94.1% in low risk group, 29.1% in intermediate risk group, and 77.8% in high risk group (P = 0.042). In low risk group, 5-year OS was 81.9% in CTx group, 65.6% in autologous SCT (autoSCT) group, 94.1% in alloSCT group. In intermediate risk group, 5-year OS was 64.8% in CTx group, 29.1% in alloSCT group. In high risk group, 5-year OS was 32.1% in CTx group, 52.5% in autoSCT group, and 77.8% in alloSCT group. We found that BM cellularity was the most powerful independent prognostic factor in AML patients with t(8;21). The newly proposed model using BM cellularity and WBC count demonstrated a simple and valid measurement as main prognostic factor. We suggest a risk-adapted postremissin strategies based on this prognostic model for AML with t(8;21) such as low and intermediate risk patients receiving three cycles or more than three cycles of HDAC CTx and high risk patients undergoing SCT in first CR as postremission therapy. Disclosures: No relevant conflicts of interest to declare.


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