Intrinsic Biological Variability In High-Risk-Myelodysplastic Syndrome Impacts Overall Survival (OS) In Patients Experiencing Cytogenetic Evolution Treated With Azanucleosides

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1537-1537
Author(s):  
Ruben Hernandez Perez ◽  
Ang Li ◽  
Sarvari Venkata Yellapragada ◽  
Matthew Zheng ◽  
Maria Otazo ◽  
...  

Abstract Background Myelodysplastic syndromes (MDS) comprise a heterogeneous group of clonal myeloid disorders characterized by marrow failure and variable risk for acute leukemia transformation. The revised International prognostic scoring system (R-IPSS) biologically defines 5 risk disease categories and assists in logistic outcome prediction and treatment algorithm. For those patients (pts) with high risk MDS, treatment with hypomethylating agents (HMAs) such as azacitidine (AZA) and decitabine (DAC) is associated with prolonged survival. However primary and secondary treatment failures are common phenomenon and treatment outcomes after failure are dismal (Prebet T et al. JCO. 2011; Prebet T. Haematologica.2013). Mechanisms of loss of response to azanucleosides are largely unknown. Cytogenetic evolution (CE) defined as the acquisition of additional clones or karyotypic abnormalities in pts with preexisting normal or aberrant karyotype, during disease course or after treatment, is observed in about 30% of MDS patients, and is linked to genomic instability resulting in adverse outcomes. We investigated risk factors for CE in MDS pts treated with HMAs and its impact of OS. Method From 2000-2012, 13/124 pts (16%) (Median age 59 years; range 54-80) with confirmed diagnosis of MDS treated with HMAs were identified from the Michael E. Medical Center Cancer Registry. Patients were included if at least 2 G-banding metaphases studies were available and corresponded to: (1) karyotyping at disease diagnosis; and (2) at the time of azanucleoside failure. Overall Survival (OS) was analyzed for pts who have received HMAs with and without evidence of CE. Multivariate Cox regression analysis was performed to assess the impact of multiple independent variables on clinical outcome. Results The incidence of CE in patients treated with HMAs was 38%. Median R-IPSS scores at diagnosis for pts with and without CE were 7.5 (5-very high; WHO subgroups: RCMD [2] and RAEB-2 [3]) vs. 4.75 (4-high and 4-Int; WHO subgroups: RCMD [3], RCUD [1] CMML [2]; MDS/MPN [2]) P=0.003. OS for pts with and without CE treated with HMAs was 419 days (d) vs 743 d, respectively P=0.001;CI= 0.23-0.89. In patients with CE, univariate analysis identified platelets and blast count at disease initiation (P=0.03, each) as prognostic variables impacting clinical outcome; however, by multivariate analysis a non-statistically significant trend was observed only for R-IPSS, P=0.21. (Table 1). Conclusion In our retrospective analysis, acquisition of CE at the time of azanucleoside failure was associated with unfavorable outcome. Exploratory logistic regression analysis suggests that high-risk disease biology at disease initiation modulates incidence of CE in MDS pts treated with azanucleosides. Larger coalesced cohort of MDS pts experiencing CE could facilitate understanding of mechanisms associated with acquisition of genomic instability during azanucleoside failure and assist in identification of novel MDS targeted therapies that could ensure sustained response. Disclosures: No relevant conflicts of interest to declare.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 5380-5380
Author(s):  
Irene M. Cavattoni ◽  
Enrico Morello ◽  
Michael Mian ◽  
Elena Oldani ◽  
Tamara Intermesoli ◽  
...  

Abstract INTRODUCTION We retrospectively analyzed the impact on post-relapse survival of selected prognostic factors and salvage therapy (finalized to perform an allo-SCT) in 145 patients (pts) with non-APL AML who had been initially treated with standard induction and risk-adapted consolidation. The aim was to identify factors associated with a better outcome at first relapse. METHODS All pts were at first recurrence following consolidation of CR1 with (i) high-dose Ara-C (HiDAC) multicycle therapy supported by blood stem cells (standard risk, as defined by mixed clinico-cytogenetic criteria) or (ii) allo-SCT in case of high-risk prognostic profile. Median pt age was 55 y (range 21–68). CR1 duration was ≤ 6 months in 49 pts (34%), ranging from 0.6 to 6 mo (median 3.7). 25/68 pts (37%) had an unfavourable cytogenetics (CG), and 8.2 % had MDS-related AML. 96 pts (66%) had received HiDAC and 21 (15%) an allo-SCT according to study design. RESULTS 105 pts (72%) received salvage chemotherapy, 10 pts (7%) underwent directly allo-SCT, while the remaining 30 (21%) received palliation and all of them died. Salvage therapy consisted again of HiDAC alone or in combination with fludarabine or anthracyclines. After reinduction, 52/105 pts (49.5%) achieved CR2 and 15 (14%) died of complications. Altogether, 42 pts (29%, group 1) received an allo-SCT following relapse, 27 (64%) in CR2, 5 beyond CR2 and 10 soon after relapse. Of 20 more pts (14%, group 2) in CR2 but without HLA identical donor, 13 could be given further intensive consolidation therapy. Both groups were comparable regarding adverse prognostic features such as age >55 y, WBC count>50,000/μL, unfavourable CG, presence of FLT-3 ITD, prior allo-SCT and 1st CR lasting ≤ 6 mo. At the end of treatment, 37/42 pts (88%) receiving SCT and all 20 pts (100%) given only chemotherapy were in CR2. Logistic regression analysis showed that intensive treatment without HiDAC at induction (p=0.04) as well as CR1 lasting <6 mo (p=0.01) negatively affected CR2 rate. Median duration of CR2 was 7.5 mo (range 1–49) in group 1 compared to 4 mo (range 1–15) in group 2. Day 100 non-relapse mortality in the 2 groups was 7% and 10%. After a median follow-up of 9.4 mo in group 1 (range 3–49) and 10 mo in group 2 (range 2–65), 2-y OS was 24% and 15.5%, respectively. Notably, 2-y OS in allo-SCT group ranged from 42% in pts ≤ 45 years to 14% in older ones. Moreover, survival was affected by risk category. In fact 2-y OS of 14/37 (38%) standard risk pts undergoing allo-SCT at salvage was 41% vs 17% in 28/108 (26%) comparable high risk pts. Cox regression analysis revealed achievement of CR2 being the only independent prognostic factor related to overall survival (p=0.0001). CONCLUSIONS AML patients receiving intensive chemotherapy including HiDAC at 1st relapse reached a high CR2 rate, regardless of type of prior risk-adapted consolidation. Further intensification with allo-SCT may offer substantial salvage rates to younger standard risk patients, thus adding value to the underlying concept of a risk-oriented first-line therapy.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jie Zhao ◽  
Rixiang Zhao ◽  
Xiaocen Wei ◽  
Xiaojing Jiang ◽  
Fan Su

Background. Ovarian cancer (OC) is the top of the aggressive malignancies in females with a poor survival rate. However, the roles of immune-related pseudogenes (irPseus) in the immune infiltration of OC and the impact on overall survival (OS) have not been adequately studied. Therefore, this study aims to identify a novel model constructed by irPseus to predict OS in OC and to determine its significance in immunotherapy and chemotherapy. Methods. In this study, with the use of The Cancer Genome Atlas (TCGA) combined with Genotype-Tissue Expression (GTEx), 55 differentially expressed irPseus (DEirPseus) were identified. Then, we constructed 10 irPseus pairs with the help of univariate, Lasso, and multivariate Cox regression analysis. The prognostic performance of the model was determined and measured by the Kaplan–Meier curve, a time-dependent receiver operating characteristic (ROC) curve. Results. After dividing OC subjects into high- and low-risk subgroups via the cut-off point, it was revealed that subjects in the high-risk group had a shorter OS. The multivariate Cox regression performed between the model and multiple clinicopathological variables revealed that the model could effectively and independently predict the prognosis of OC. The prognostic model characterized infiltration by various kinds of immune cells and demonstrated the immunotherapy response of subjects with cytotoxic lymphocyte antigen 4 (CTLA4), anti-programmed death-1 (PD-1), and anti-PD-ligand 1 (PD-L1) therapy. A high risk score was related to a higher inhibitory concentration (IC50) for etoposide ( P = 0.0099 ) and mitomycin C ( P = 0.0013 ). Conclusion. It was the first study to identify a novel signature developed by DEirPseus pairs and verify the role in predicting OS, immune infiltrates, immunotherapy, and chemosensitivity. The irPseus are vital factors predicting the prognosis of OC and could act as a novel potential treatment target.


2021 ◽  
Author(s):  
Omar Abdel-Rahman ◽  
Sheryl L. Koski

Objective: To assess the survival differences between cisplatin/etoposide versus carboplatin/etoposide chemotherapy regimens in the management of extra-pulmonary neuroendocrine carcinomas (NECs). Methods: Administrative cancer care databases in the province of Alberta, Canada were reviewed, and patients with extra-pulmonary NECs (including those with small cell and large cell neuroendocrine carcinomas) who were treated with either cisplatin/ etoposide or carboplatin/ etoposide, 2004-2019, were reviewed. Kaplan-Meier survival estimates were used to compare the survival outcomes according to the type of platinum agent, and multivariable Cox regression analysis was used to assess the impact of the type of platinum agent on overall survival outcomes. Results: A total of 263 eligible patients were included in this analysis. These include 176 patients who received cisplatin/ etoposide and 87 patients who received carboplatin/etoposide. Using Kaplan-Meier survival estimates, patients treated with cisplatin have better overall survival compared to patients treated with carboplatin (P=0.005). Multivariable Cox regression analysis suggested that the following factors were associated with worse overall survival: higher Charlson comorbidity index (HR: 1.17; 95% CI: 1.05-1.30), gastrointestinal primary site (HR: 1.55; 95% CI: 1.12-2.14), stage IV disease (HR: 1.75; 95% CI: 1.28-2.38) and use of carboplatin (HR: 1.40; 95% CI: 1.02-1.92). Conclusions: The current study suggested that cisplatin/etoposide might be associated with better overall survival compared to carboplatin/etoposide among patients with extra-pulmonary NECs. It is unclear if this is related to differences in inherent responsiveness to the two platinum agents, or due to differences in comorbidity burden between the two treatment groups.


2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 687-687
Author(s):  
Omar Abdel-Rahman ◽  
Hatim Karachiwala ◽  
Jacob C. Easaw

687 Background: The current study aims at assessing the patterns of opioid use, and evaluating the impact of opioid use on survival outcomes among patients with advanced GI cancers who were included in eight clinical trials. Methods: De-identified datasets of eight clinical trials evaluating first-line systemic treatment for advanced GI cancers (NCT01124786; NCT00844649; NCT00290966; NCT00678535; NCT00699374; NCT00272051; NCT00305188; NCT00384176) were accessed from the Project Data Sphere platform. These trials evaluated patients with pancreatic, gastric, hepatocellular and colorectal carcinoma. Multivariable logistic regression analysis was used to evaluate factors predicting the use of opioids. Kaplan-Meier survival estimates were used to compare survival outcomes in each disease entity among patients who did or did not receive opioid treatment. Multivariable Cox regression analysis was used to assess the impact of opioid use on survival outcomes in each disease entity. Results: A total of 3441 participants were included in the current analysis. The following factors predicted a higher probability of opioid use within logistic regression analysis: younger age (P = 0.004), non-white race (P = 0.010), higher ECOG score (P < 0.001) and pancreatic primary site (P < 0.001). Use of opioids was consistently associated with worse overall survival in Kaplan-Meier survival estimates of each disease entity (for pancreatic cancer: P = 0.008; for gastric cancer: P < 0.001; for hepatocellular carcinoma: P < 0.001 and for colorectal cancer: P < 0.001). Within multivariable Cox regression analysis, opioid use was associated with worse overall survival among patients with pancreatic cancer (HR = 1.245; 95% CI: 1.063-1.459; P = 0.007), gastric cancer (HR = 1.725; 95% CI: 1.403-2.122; P < 0.001), hepatocellular carcinoma (HR = 1.841; 95 CI: 1.480-2.290; P < 0.001) and colorectal cancer (HR = 1.651; 95% CI: 1.380-1.975; P < 0.001). Conclusions: Opioid use is consistently associated with worse overall survival among patients with different GI cancers. Further studies are needed to evaluate the underlying mechanisms of this observation.


2020 ◽  
Author(s):  
Haige Zheng ◽  
Xiangkun Wu ◽  
Huixian Liu ◽  
Yumin Lu ◽  
Hengguo Li

Abstract Background: Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous tumor with high incidence and poor prognosis. Therefore, effective predictive models are needed to evaluate patient outcomes and optimize treatment. Methods: Ten gene microarray datasets were obtained from the gene expression omnibus (GEO) database. Level 3 mRNA expression and clinical data were obtained in The Cancer Genome Atlas (TCGA) database. We identified highly robust differentially-expressed genes (DEGs) between HNSCC and normal tissue in nine GEO and TCGA datasets using Robust Rank Aggregation (RRA) method. Univariate Cox regression analysis and lasso Cox regression analysis were performed to identify DEGs related to the Overall-survival (OS) and to construct a prognostic gene signature. External validation was performed using GSE65858. Moreover, gene set enrichment analyses (GSEA) analysis was used to analyze significantly rich pathways in high-risk and low-risk groups, and tumor immunoassays were used to clarify immune correlation of the prognostic gene. Finally, integrate multiple forecast indicators were used to build a nomogram using the TCGA-HNSCC dataset. Kaplan–Meier analysis, receiver operating characteristic (ROC), a calibration plot, Harrell’s concordance index (C-index), and decision curve analysis (DCA) were used to test the predictive capability of the seven genetic signals and the nomogram. Results: A novel seven-gene signature (including SLURP1, SCARA5, CLDN10, MYH11, CXCL13, HLF, and ITGA3) was established to predict overall survival in HNSCC patients. ROC curve performed well in the training and validation data sets. Kaplan–Meier analysis demonstrated that low-risk groups had a longer survival time. The nomogram containing seven genetic markers and clinical prognostic factors was a good predictor of HNSCC survival and showed a certain net clinical benefit through the DCA curve. Further research demonstrated that the infiltration degree of CD8 + T cells, B cells, neutrophils, and NK cells were significantly lower in the high-risk group.Conclusion: Our analysis established a seven-gene model and nomogram to accurately predict the prognosis status of HNSCC patients, immune relevance was also described, which may provide a new possibility for individual treatment and medical decision-making.


2021 ◽  
Vol 8 ◽  
Author(s):  
Haige Zheng ◽  
Huixian Liu ◽  
Yumin Lu ◽  
Hengguo Li

Background: Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous tumor with a high incidence and poor prognosis. Therefore, effective predictive models are needed to evaluate patient outcomes and optimize treatment.Methods: Robust Rank Aggregation (RRA) method was used to identify highly robust differentially-expressed genes (DEGs) between HNSCC and normal tissue in 9 GEO and TCGA datasets. Univariate Cox regression analysis and Lasso Cox regression analysis were performed to identify DEGs related to the Overall survival (OS) and to construct a prognostic gene signature (HNSCCSig). External validation was performed using GSE65858 dataset. Moreover, comprehensive bioinformatics analyses were used to identify the association between HNSCCSig and tumor immune environment.Results: A total of 257 reliable DEGs were identified by differentially analysis result of TCGA and GSE65858 datasets. The HNSCCSig including 7 mRNAs (SLURP1, SCARA5, CLDN10, MYH11, CXCL13, HLF, and ITGA3) were developed and validated to identify high-risk group who had a worse OS than low-risk group in TCGA and GSE65858 datasets. Cox regression analysis showed that the HNSCCSig could independently predict OS in both the TCGA and the GSE65858 datasets. Further research demonstrated that the infiltration bundance of CD8 + T cells, B cells, neutrophils, and NK cells were significantly lower in the high-risk group. A nomogram was also constructed by combining the HNSCCSig and clinical characters.Conclusion: We established and validated the HNSCCSig consisting of SLURP1, SCARA5, CLDN10, MYH11, CXCL13, HLF, and ITGA3. A nomogram combining HNSCCSig and some clinical parameters was constructed to identify high-risk HNSCC-patients with poor prognosis.


2021 ◽  
Author(s):  
Bo Wu ◽  
Haoqun Xie ◽  
Wang Yibo ◽  
Guo Zhen ◽  
Hou Yuanyuan ◽  
...  

Abstract Background: Ewing’s sarcoma is the second most prevalent primary malignant bone neoplasm. RNA-binding proteins(RBPs) play a crucial role in post-transcriptional events. In tumor cells, the alterations of post-transcription enable cells to adapt to adjacent environment rapidly. Thus, the functions of RBPs in Ewing’s sarcoma can be of high value in the prognostic[1]. The underlying mechanism between Ewing’s sarcoma and RBPs remained unclear. Methods: Based on the GEO dataset, we investigated the global protein expression profile of Ewing's sarcoma patients. Differentially expressed proteins and survival-related RNA-binding protein related genes (RRGs) were evaluated by computational difference algorithm and COX regression analysis. In addition, we also explored the mutations in these RRGs. A new prognostic indicator based on RRGs was developed and tested afterwards using multivariate COX analysis.Results: The results showed that a total of 16 RRGs which closely associated with the overall survival in Ewing’s sarcoma patients using multivariate Cox regression analysis. The prognosis-related RRGs signature established using Cox regression model consists of 8 RRGs that can divide patients into high-risk and low-risk groups. Our results suggested that overall survival rate of high-risk group patients was shorter than the patients in low-risk group. According to multivariate Cox analysis, risk score index was an independent prognosis factor for Ewing’s sarcoma. In addition, the area under the curve of the corresponding receiver operating characteristic (ROC) curve of survival is 0.947.Conclusion: The 8 RRGs marker can predict the prognosis of Ewing’s sarcoma and thus help individualized treatment of patients at different risks.


2016 ◽  
Vol 34 (4_suppl) ◽  
pp. 388-388
Author(s):  
Bradley Krasnick ◽  
Linda Jin ◽  
Jesse Davidson ◽  
Cecilia Grace Ethun ◽  
Timothy M. Pawlik ◽  
...  

388 Background: Surgical resection is the cornerstone of curative therapy for localized hilar cholangiocarcinoma. However, the effect of adjuvant therapy (AT) on survival is unclear. We analyzed the impact of AT on overall survival (OS) in those patients undergoing curative resection for hilar cholangiocarcinoma. Methods: We reviewed 294 patients who underwent curative resections for hilar cholangiocarcinoma between 1998 and 2015 from ten institutions participating in the U.S Extrahepatic Biliary Malignancy consortium. We analyzed the impact of AT on the primary outcome of OS. Probability of OS was calculated in the method of Kaplan and Meier and analyzed using multivariate Cox regression analysis. Statistical significance was set at p≤0.05. Results: Mean age was 65 years. OS at 5 years was 16%. A total of 146 patients (50%) received AT. Of these patients, 44 patients underwent solely chemotherapy, 5 underwent only radiation therapy (XRT), and 97 underwent combined therapy. On univariate analysis, patients who received AT and those who did not had similar demographic and preoperative features, with the major difference being in the rate of lymph node (LN) positive disease (50% AT group vs. 19% no AT group, p<0.01). In a multivariate Cox regression analysis, AT conferred a significant protective effect on OS (HR 0.578, p<0.01, 95% CI 0.38-0.86), even when adjusting for age, tumor size, R0 resection status, ASA classification, and LN positivity (Table). Conclusions: AT is associated with improved OS in resected hilar cholangiocarcinoma. This association remains even after adjusting for poor prognostic features. We acknowledge that there is an inherent selection bias when looking at those who underwent AT, and thus future prospective randomized trials are needed. [Table: see text]


Author(s):  
Gong Chao-yang ◽  
Tang Rong ◽  
Shi Yong-qiang ◽  
Liu Tai-cong ◽  
Zhou Kai-sheng ◽  
...  

In this study, we identified eight survival-related metabolic genes in differentially expressed metabolic genes by univariate Cox regression analysis based on the therapeutically applicable research to generate effective treatments (n = 84) data set and genotype tissue expression data set (n = 396). We also constructed a six metabolic gene signature to predict the overall survival of osteosarcoma (OS) patients using least absolute shrinkage and selection operator (Lasso) Cox regression analysis. Our results show that the six metabolic gene signature showed good performance in predicting survival of OS patients and was also an independent prognostic factor. Stratified correlation analysis showed that the metabolic gene signature accurately predicted survival outcomes in high-risk and low-risk OS patients. The six metabolic gene signature was also verified to perform well in predicting survival of OS patients in an independent cohort (GSE21257). Then, using univariate Cox regression and Lasso Cox regression analyses, we identified an eight metabolism-related long noncoding RNA (lncRNA) signature that accurately predicts overall survival of OS patients. Gene set variation analysis showed that the apical surface and bile acid metabolism, epithelial mesenchymal transition, and P53 pathway were activated in the high-risk group based on the eight metabolism-related lncRNA signature. Furthermore, we constructed a competing endogenous RNA (ceRNA) network and conducted immunization score analysis based on the eight metabolism-related lncRNA signature. These results showed that the six metabolic gene signature and eight metabolism-related lncRNA signature have good performance in predicting the survival outcomes of OS patients.


2021 ◽  
pp. 019459982199338
Author(s):  
Flora Yan ◽  
Dylan A. Levy ◽  
Chun-Che Wen ◽  
Cathy L. Melvin ◽  
Marvella E. Ford ◽  
...  

Objective To assess the impact of rural-urban residence on children with obstructive sleep-disordered breathing (SDB) who were candidates for tonsillectomy with or without adenoidectomy (TA). Study Design Retrospective cohort study. Setting Tertiary children’s hospital. Methods A cohort of otherwise healthy children aged 2 to 18 years with a diagnosis of obstructive SDB between April 2016 and December 2018 who were recommended TA were included. Rural-urban designation was defined by ZIP code approximation of rural-urban commuting area codes. The main outcome was association of rurality with time to TA and loss to follow-up using Cox and logistic regression analyses. Results In total, 213 patients were included (mean age 6 ± 2.9 years, 117 [55%] male, 69 [32%] rural dwelling). Rural-dwelling children were more often insured by Medicaid than private insurance ( P < .001) and had a median driving distance of 74.8 vs 16.8 miles ( P < .001) compared to urban-dwelling patients. The majority (94.9%) eventually underwent recommended TA once evaluated by an otolaryngologist. Multivariable logistic regression analysis did not reveal any significant predictors for loss to follow-up in receiving TA. Cox regression analysis that adjusted for age, sex, insurance, and race showed that rural-dwelling patients had a 30% reduction in receipt of TA over time as compared to urban-dwelling patients (hazard ratio, 0.7; 95% CI, 0.50-0.99). Conclusion Rural-dwelling patients experienced longer wait times and driving distance to TA. This study suggests that rurality should be considered a potential barrier to surgical intervention and highlights the need to further investigate geographic access as an important determinant of care in pediatric SDB.


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