Host Immunogenetic Single Nucleotide Polymorphisms (SNPs) Predict Overall Survival in Small Lymphocytic Lymphoma.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 2396-2396
Author(s):  
Carrie A. Thompson ◽  
Sophia Wang ◽  
Matthew J. Maurer ◽  
Thomas M. Habermann ◽  
Richard K. Severson ◽  
...  
Keyword(s):  
Overall Survival ◽  
Los Angeles ◽  
Risk Score ◽  
Prognostic Biomarkers ◽  
Risk Scores ◽  
Tnf Alpha ◽  
Small Lymphocytic Lymphoma ◽  
Risk Of Death ◽  
Individual Snps

Abstract Small lymphocytic lymphoma (SLL) is an incurable indolent lymphoma, and there are relatively few prognostic biomarkers for this important NHL subtype. We evaluated the hypothesis that inherited variability in cytokine and immune-related genes was associated with overall survival in SLL. We genotyped 73 SNPs in 44 candidate genes in 140 SLL patients aged 20–70 years who participated in a population-based case-control study conducted from 1998–2000 through the Surveillance, Epidemiology, and End Results (SEER) cancer registries in Detroit, Seattle, Iowa, and Los Angeles. DNA was extracted from a venous blood sample or mouthwash buccal cell sample. All genotyping was conducted at the National Cancer Institute Core Genotyping Facility using the Taqman platform. Histology, stage, presence of B-symptoms, first course of therapy, date of last follow-up, and vital status were derived from linkage to registry databases at each study site in the spring of 2005. Cox proportional hazards analysis was used to estimate the hazard ratio (HR) and 95% confidence interval for the association between individual SNPs and overall survival, adjusted for age, demographic and clinical factors. Multiple simultaneous modeling strategies were used to identify the best summary multi-SNP risk score to predict survival. At last follow-up, there were 45 deaths in 140 patients (32%). The median follow-up of the 95 surviving patients was 58 months (range 24–75 months). In multivariate modeling, SNPs in IL13 (rs1800925; HRCC=2.36, 1.24–4.49), IL7R (rs1494555; HRGG =2.20, 0.84–5.76), and TNF-alpha (rs1800630; HRAC/AA=1.73, 0.95–3.17) were the strongest and most robust predictors of survival. Two or more deleterious genotypes from these three SNPs increased the risk of death (HR=2.2, 1.2–4.1) compared with one or fewer deleterious genotypes (p=0.009). Three groups (low, intermediate, and high risk) were defined by combining the SNP score and a clinical/demographic score. The 5-year Kaplan-Meier survival estimates for these groups were 85%, 65%, and 11%, respectively. Compared to patients with a low risk score, patients with intermediate (HR=2.5, 1.2–5.1) or high (HR=11, 4.3–27.7) risk scores had poorer overall survival (p=3.9 x 10−8). Our preliminary results suggest that SNPs in IL13, IL7R, and TNF-alpha alone and in combination predict overall survival in SLL, lending support to the hypothesis that host genetic background is a promising class of prognostic biomarkers in SLL.

scholarly journals Prognostic Value of D-dimer in patients with acute coronary syndrome treated by percutaneous coronary intervention: a retrospective cohort study

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Runzhen Chen ◽  
Chen Liu ◽  
Peng Zhou ◽  
Yu Tan ◽  
Zhaoxue Sheng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Percutaneous Coronary Intervention ◽  
Prognostic Value ◽  
Coronary Intervention ◽  
Risk Scores ◽  
Risk Of Death ◽  
Clinical Risk ◽  
Percutaneous Coronary ◽  
D Dimer

Abstract Background Associations between D-dimer and outcomes of patients with acute coronary syndromes (ACS) remain controversial. This study aimed to investigate the prognostic value of D-dimer in ACS patients treated by percutaneous coronary intervention (PCI). Methods In this observational study, 3972 consecutive patients with ACS treated by PCI were retrospectively recruited. The X-tile program was used to determine the optimal D-dimer thresholds for risk stratifications. Cox regression with multiple adjustments was used for outcome analysis. Restricted cubic spline (RCS) analysis was performed to assess the dose-response association between D-dimer and outcomes. The C-index was calculated to evaluate the additional prognostic value of D-dimer when added to clinical risk factors and commonly used clinical risk scores, with internal validations using bootstrapping methods. The primary outcome was all-cause death. Results During a median follow-up of 720 days, 225 deaths occurred. Based on the thresholds generated by X-tile, ACS-PCI patients with median (420–1150 ng/mL, hazard ratio [HR]: 1.58, 95 % confidence interval [CI]: 1.14–2.20, P = 0.007) and high (≥ 1150 ng/mL, HR: 1.98, 95 % CI: 1.36–2.89, P < 0.001) levels of D-dimer showed substantially higher risk of death compared to those with low D-dimer (< 420 ng/mL). RCS analysis depicted a constant relation between D-dimer and various outcomes. The addition of D-dimer levels significantly improved risk predictions for all-cause death when combined with the fully adjusted models (C-index: 0.853 vs. 0.845, P difference = 0.021), the GRACE score (C-index: 0.826 vs. 0.814, P difference = 0.027), and the TIMI score (C-index: 0.804 vs. 0.776, P difference < 0.001). The predicted mortality at the median follow-up (two years) was 1.7 %, 5.2 %, and 10.9 % for patients with low, median, and high D-dimer, respectively, which was well matched with the observed mortality (low D-dimer group: 1.2 %, median D-dimer group: 5.2 %, and high D-dimer group: 12.6 %). Conclusions For ACS patients treated by PCI, D-dimer level was an independent predictor for adverse outcomes, and provided additional prognostic value when combined with clinical risk factors and risk scores. Risk stratifications based on D-dimer was plausible to differentiate ACS-PCI patients with higher risk of death.

Risks of Stroke Recurrence and Mortality After First and Recurrent Strokes in Denmark: A Nationwide Registry Study

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000013118
Author(s):  
Nils Skajaa ◽  
Kasper Adelborg ◽  
Erzsébet Horváth-Puhó ◽  
Kenneth J Rothman ◽  
Victor W. Henderson ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Intracerebral Hemorrhage ◽  
Risk Score ◽  
Recurrent Stroke ◽  
Recurrent Event ◽  
Risk Scores ◽  
Stroke Recurrence ◽  
Stroke Severity ◽  
Risk Of Death ◽  
First Time

Background and Objectives:To examine risks of stroke recurrence and mortality after first and recurrent stroke.Methods:Using Danish nationwide health registries, we included patients (age ≥18 years) with first-time ischemic stroke (N = 105,397) or intracerebral hemorrhage (N = 13,350) during 2004–2018. Accounting for the competing risk of death, absolute risks of stroke recurrence were computed separately for each stroke subtype and within strata of age groups, sex, stroke severity, body mass index, smoking, alcohol, the Essen stroke risk score, and atrial fibrillation. Mortality risks were computed after first and recurrent stroke.Results:After adjusting for competing risks, the overall 1-year and 10-year risks of recurrence were 4% and 13% following first-time ischemic stroke and 3% and 12% following first-time intracerebral hemorrhage. For ischemic stroke, the risk of recurrence increased with age, was higher for men and following mild than more severe stroke. The most marked differences were across Essen risk scores, for which recurrence risks increased with increasing scores. For intracerebral hemorrhage, risks were similar for both sexes and did not increase with Essen risk score. For ischemic stroke, the 1-year and 10-year risks of all-cause mortality were 17% and 56% after a first-time stroke and 25% and 70% after a recurrent stroke; corresponding estimates for intracerebral hemorrhage were 37% and 70% after a first-time event and 31% and 75% after a recurrent event.Conclusion:The risk of stroke recurrence was substantial following both subtypes, but risks differed markedly among patient subgroups. The risk of mortality was higher after a recurrent than first-time stroke.

Sarcomatoid Renal Cell Carcinoma: Biologic Behavior, Prognosis, and Response to Combined Surgical Resection and Immunotherapy

1999 ◽  
Vol 17 (2) ◽  
pp. 523-523 ◽  
Author(s):  
Thomas Cangiano ◽  
Joseph Liao ◽  
John Naitoh ◽  
Frederick Dorey ◽  
Robert Figlin ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Multivariate Analysis ◽  
Cell Carcinoma ◽  
Surgical Resection ◽  
Median Duration ◽  
Renal Cell ◽  
High Dose ◽  
Risk Of Death

PURPOSE: Sarcomatoid variants of renal cell carcinoma (RCC) are aggressive tumors that respond poorly to immunotherapy. We report the outcomes of 31 patients with sarcomatoid RCC treated with a combination of surgical resection and immunotherapy. PATIENTS AND METHODS: Patients were identified from the database of the University of California Los Angeles Kidney Cancer Program. We retrospectively reviewed the cases of 31 consecutive patients in whom sarcomatoid RCC was diagnosed between 1990 and 1997. Clinical stage, sites of metastasis, pathologic stage, and type of immunotherapy were abstracted from the medical records. The primary end point analyzed was overall survival, and a multivariate analysis was performed to distinguish any factors conferring an improved survivorship. RESULTS: Twenty-six percent of patients were male and 74% were female, and the median age was 59 years (range, 34 to 73 years). Length of follow-up ranged from 2 to 77 months (mean, 21.4 months). Twenty-eight patients (84%) had known metastases at the time of radical nephrectomy (67% had lung metastases and 40% had bone, 21% had liver, 33% had lymphatic, and 15% had brain metastases). Twenty-five patients (81%) received immunotherapy, including low-dose interleukin (IL)-2–based therapy (five patients), tumor-infiltrating lymphocyte–based therapy plus IL-2 (nine patients), high-dose IL-2–based therapy (nine patients), dendritic cell vaccine–based therapy (one patient), and interferon alpha–based therapy alone (one patient). Two patients (6%) achieved complete responses (median duration, 46+ months) and five patients (15%) achieved partial responses (median duration, 36 months). One- and 2-year overall survival rates were 48% and 37%, respectively. Using a multivariate analysis, age, sex, and percentage of sarcomatoid tumor (< or > 50%) did not significantly correlate with survival. Improved survival was found in patients receiving high-dose IL-2 therapy compared with patients treated with surgery alone or any other form of immunotherapy (P = .025). Adjusting for age, sex, and percentage of sarcomatoid tumor, the relative risk of death was 10.4 times higher in patients not receiving high-dose IL-2 therapy. Final pathologic T stage did not correlate significantly with outcome, but node-positive patients had a higher death rate per year of follow-up than did the rest of the population (1.26 v 0.76, Cox regression analysis). CONCLUSION: Surgical resection and high-dose IL-2–based immunotherapy may play a role in the treatment of sarcomatoid RCCs in select patients.

Germline Variation in TNF and NF-Kappa B Pathways and Prognosis In Mantle Cell Lymphoma

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 4127-4127
Author(s):  
Thomas M. Habermann ◽  
Matthew J Maurer ◽  
Brian Link ◽  
William R Macon ◽  
Alice H. Wang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Genetic Variation ◽  
Mantle Cell Lymphoma ◽  
Disease Progression ◽  
Cell Lymphoma ◽  
Age At Diagnosis ◽  
Individual Snps ◽  
Gene Level ◽  
Mantle Cell

Abstract Abstract 4127 Introduction: Mantle cell lymphoma (MCL) is an aggressive lymphoma. NF-κB has been shown to be constitutively activated in MCL cell lines and patient biopsy samples and may play a key role in the growth and survival of MCL cells. We previously reported in a pilot study of 39 MCL patients from the NCI-SEER Survival Study that host genetic variation in candidate TNF and NF-κB genes was associated with overall survival after accounting for clinical variables (Blood 2007;110(11):472a). Here, we attempt to replicate the top 8 genes (NFKB1, IRF4, TNFSF13B, TNFRSF25, NFKBIA, LTA/TNF, TRAF5, RELB) and associated single nucleotide polymorphisms (SNPs) in an independent sample of MCL patients. Methods: We genotyped 71 SNPs from 8 genes in a prospective cohort of newly diagnosed MCL patients with germline DNA enrolled at the Mayo Clinic and University of Iowa from 2002–2008 as part of the Molecular Epidemiology Resource of the Iowa/Mayo Lymphoma SPORE. All patients were systematically followed through 2009 for overall survival (OS) and event-free survival (EFS, defined as disease progression, retreatment or death due to any cause). Genotyping was performed on an Illumina Golden-Gate platform. Cox regression was used to estimate Hazard Ratios (HRs) and 95% confidence intervals (CI) for individual SNPs with OS and EFS. Each SNP was modeled with the most prevalent homozygous genotype used as the reference group. An ordinal test was used to assess the trend across genotype. A principal components methodology was used for gene-level analyses. All Cox models were adjusted for MIPI and treatment. We compared our results to the previously reported NCI-SEER study that included MCL patients diagnosed from 1998–2000. The NCI-SEER study had a median age at diagnosis of 64 years (range 38–74), 27 deaths (69%), and a median follow-up for living patients of 47 months (23-85 months). Replication was declared based on a p-trend<0.10 in the gene-level test or p-trend<0.10 in the SNP-level ordinal trend test and a HR of similar direction and magnitude to the NCI-SEER study result. Results: The median age at diagnosis of the 101 patients in the SPORE was 64 years (range 42–88), and by simplified MIPI score there were 38% low risk, 37% intermediate risk, and 26% high risk patients. The most common initial therapy was anthracycline-based chemotherapy ± rituximab (59%) with or without stem cell transplantation. Through 2009, there were 61 events (60%) and 31 (31%) deaths, with a median follow-up for living patients of 59 months (range 29–90). At the gene-level, none of the 8 genes replicated at p<0.10. However, at the SNP level, the genes with SNPs that replicated for OS included TRAF5 (rs3738199, rs6684874, rs12569232), TNFRSF25 (rs3138156), and RELB (rs10424046, rs1560725). The strongest TRAF5 SNP was rs3738199 which had a minor allele frequency (MAF) of 0.35. Compared to patients with the AA genotype, those with the AG (HR=2.14, 95% CI 0.91–5.01) or GG (HR=3.72, 95% CI 1.34–10.3) genotypes had inferior survival (p-trend=0.0092). The TNFRSF25 SNP rs3138156 had a MAF of 0.054; compared to patients with the AA genotype, those with the AG or GG genotype (HR=2.46, 95% CI 0.88–6.89) had inferior survival (p=0.087). Finally, the strongest RELB SNP was rs10424046, and had a MAF of 0.54. Compared to patients with the GG genotype, those with the GC (HR=0.57, 95% CI 0.25–1.28) or CC (HR=0.39, 95% CI 0.14–1.12) genotypes had superior survival (p-trend=0.065). Similar results for EFS were observed for the TRAF5 and RELB SNPs. Discussion: Germline genetic variation in the TNF and NF-κB pathway genes TRAF5, RELB, and TNFRSF25 were associated with prognosis in MCL after adjustment for clinical and treatment factors, and this result replicates findings from an independent dataset. TRAF5 is one of the components of a multiple protein complex which binds to TNF receptor cytoplasmic domains and mediates TNF-induced activation; RELB is part of the NF-κB complex; and TNF super family receptor member 25 stimulates NF-κB activity and regulates apoptosis through signal transduction that is mediated by various death domain containing adaptor proteins. In summary, genetic variation in TNF and NF-κB pathway genes may play a role in disease progression and overall survival in MCL, supporting further targeting of this pathway for therapy. Support: Lymphoma Research Foundation, P50 CA97274, R01 CA129539. Disclosures: No relevant conflicts of interest to declare.

scholarly journals Patient Related Factors Have an Indepedent Impact on Overall Survival in Myelodysplastic Syndrome Patients: A Report of the MDS-Can Registry

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 165-165
Author(s):  
Rena Buckstein ◽  
Richard A. Wells ◽  
Nancy Zhu ◽  
Thomas J. Nevill ◽  
Heather A Leitch ◽  
...  
Keyword(s):  
Overall Survival ◽  
Physical Performance ◽  
Predictive Factors ◽  
Research Funding ◽  
Performance Tests ◽  
Related Factors ◽  
Risk Of Death ◽  
The Impact ◽  
Very High

Abstract Introduction: MDS is a disease of the elderly; yet, the impact of clinical frailty (an age-related vulnerability state created by a multidimensional loss of reserves) and patient-reported outcomes on overall survival (OS) are unknown. Rockwood et al. have developed a simple 9-point clinical frailty scale (CFS) that correlated highly with the risk of death, institutionalization, worsening health and hospital use (Rockwood K., CMAJ 2005). In a prospective, national MDS registry, participants have undergone annual evaluations with the following: (a) 3 geriatric physical performance tests, (b) Charlson (CCI) and Della Porta comorbidity index (DP-CCI) scores, (c) graded frailty using the Rockwood CFS, (d) disability assessments with the Lawton Brody SIADL, and (e) QOL using the EORTC QLQ C-30 and the EQ-5D. The results of these frailty assessments and the effects of these patient-related factors and reported outcomes on OS, in addition to the IPSS/revised IPSS, will be presented. Methods: Overall survival was measured from time to enrollment. Results from physical performance tests were divided into quintiles with higher scores indicating better performance. We used univariate and multivariable Cox proportional hazard model to determine significant predictive factors of overall survival (OS). The variables considered included age, IPSS, R-IPSS, ferritin, LDH, transfusion dependence, hemoglobin (hgb), ECOG, frailty, CCI and DP-CCI, grip strength, 4 M walk test, stand-sit test, modified short physical performance battery (SPPB), Lawton Brody SIADL, time from diagnosis and selected QOL domains including the EQ-5D summary score, EORTC physical functioning, dyspnea and fatigue scores. Results: 453 MDS patients (pts) have been consented and enrolled locally since January 2008 (n=231) and nationally since January 2012 (n=222). Median time from diagnosis was 5.8 mos (IQR 1.4-21). Median age was 73 y (range, 26-95 y), 65% were male and the R-IPSS scores were very low (14%), low (46%), intermediate (24%), high (10%) and very high (6%). Thirty-three % of pts were transfusion dependent at enrollment. Median CCI and DP-CCI scores were 1 (0-12) and 0 (0-6) respectively with 18% and 24% falling into the highest category scores. Median frailty scale score (n=346) was 3 (1-9) with 25% having scores indicating moderate (4-5) or severe (6-9) frailty. The CCI and DP-CCI strongly correlated (r=0.6; p< .0001) with each other, while frailty significantly but modestly correlated with them (r=0.3-0.35, p<.0001). With a median follow up (from enrollment) of 15 mos (95% CI: 13-16), 159 (35%) pts have died and 28 pts lost to follow up. Actuarial survival was 41.0 mos (range, 33.6 - 48.5 mos). When considering patient related factors - age, frailty, comorbidity (both indices), sex, ECOG, the 10 x stand sit test, the SPPB, Lawton Brody SIADL, and all QOL domains considered above were significantly predictive of OS. The multivariable model with the highest R2 included R-IPSS (p=.0004), frailty (1-3 vs 4-9, p= .004), CCI (0-1 vs >2, p=.03) and EORTC fatigue (p=.01) as summarized in Table 1 below. A frailty score > 3 predicted for worse survival (figure 1: 2 year OS 68.5% vs. 83.8%) and further refined survival within the R-IPSS categories (Figure 2). Frailty was also the single most predictive factor for OS from the start of azacitidine therapy (not shown). Conclusions: Patient-related factors such as frailty and comorbidity (that evaluate physiologic reserve and global fitness) should be considered in addition to traditional MDS prognostic indices. Abstract 165. Table. Independent Covariate Predictive factors at baseline Coefficient SE p -value HR 95% CI of HR R2 (%) Time from diagnosis (months) * 0.0335 0.1076 0.7557 1.034 0.837 1.277 17.29% R-IPSS (5 categories) <.0001 Very high vs. very low 2.5701 0.7289 0.0004 13.066 3.131 54.524 High vs. very low 2.1156 0.6437 0.0010 8.294 2.349 29.285 Intermediate vs. very low 1.0466 0.6430 0.1036 2.848 0.808 10.043 Low vs. very low 0.6346 0.6181 0.3045 1.886 0.562 6.334 Frailty (1-3 vs. 4-9) -0.8323 0.2905 0.0042 0.435 0.246 0.769 Comorbidity Charlson (0-1 vs. ³2) -0.5915 0.2749 0.0314 0.553 0.323 0.949 EORTC fatigue * 0.3671 0.1546 0.0176 1.443 1.066 1.954 natural log-transformation was applied for normalizing distribution Figure 1 Overall survival by Frailty (n=346) Figure 1. Overall survival by Frailty (n=346) Figure 2 Overall Survival by Frailty and R-IPSS Figure 2. Overall Survival by Frailty and R-IPSS Disclosures Buckstein: Celgene Canada: Research Funding. Wells:Celgene: Honoraria, Other, Research Funding; Novartis: Honoraria, Research Funding; Alexion: Honoraria, Research Funding. Leitch:Alexion: Honoraria, Research Funding; Novartis: Honoraria, Research Funding, Speakers Bureau; Celgene: Educational Grant Other, Honoraria, Research Funding. Shamy:Celgene: Honoraria, Other.

scholarly journals Incidence and Outcomes of Pediatric Myelodysplastic Syndrome in the US

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 1285-1285
Author(s):  
Ana Xavier ◽  
Matthew A. Kutny ◽  
Luciano J Costa
Keyword(s):  
Overall Survival ◽  
Myelodysplastic Syndrome ◽  
Pediatric Patients ◽  
De Novo ◽  
The United States ◽  
Refractory Anemia ◽  
Histological Subtype ◽  
Risk Of Death

Background There is lack of epidemiological data on pediatric myelodysplastic syndrome (p-MDS) in the literature. MDS became reportable to the Surveillance, Epidemiology and End Results (SEER) Program in 2001, providing an opportunity to estimate the incidence and survival of pediatric patients with MDS in the United States. Methods We utilized data from the National Cancer Institute SEER-18 to determine the incidence and long term overall survival (OS) of pediatric patients (ages 0 to 20 years) diagnosed with de novo MDS or therapy-related MDS. Inclusion criteria was diagnosis of MDS (International Classification of Diseases-Oncology, Third Edition, ICD-O-4 codes 9980/3, 9991/3, 9992/3, 9982/3, 9985/3, 9983/3, 9986/3, 9986/3, 9989/3, 9985/3, 9975/3, and 9987/3) between 2001 and 2011. Follow up was updated through the end of 2011 (November 2013 submission). Overall survival was estimated using the method of Kaplan-Meier. A Cox proportional hazard model was used to compare the effects of age, race, gender, histological subtype, and etiology (de novovs. therapy-related) on survival. Results The incidence of p-MDS was 1.16 cases/1 million population*year. A greater incidence occurred in children younger than 1 year of age possibly reflecting congenital bone marrow failure syndromes (Figure 1). A total of 314 p-MDS cases were included in the analysis with median follow up of 31 months (range 0-131). Median age of patients was 9 years; 167 (53.3%) had MDS unclassifiable (NOS), 40 (12.7%) had therapy-related MDS (t-MDS), 44 (14%) had refractory anemia with excess blasts (RAEB), 32 (10.3%) had refractory anemia (RA), 17 (5.4%) had refractory cytopenia with multilineage dysplasia (RCMD), 6 (1.9%) had refractory anemia with ring sideroblasts (RARS), 5 (1.6%) had refractory anemia with excess blasts in transformation (RAEBT), and 3 (0.9%) had MDS associated with isolated del(5q). Male patients comprised 154 (49%) of cases. Racial groups included white (218, 69.4%), 52 (15.7%) black, 37 (11.8%) of other races, and 7 (2.3%) the race was unknown. The 5 year-OS for the entire cohort was 68% (95% C.I.=62.3-73.7). Patients with t-MDS had significantly worse 5 year-OS (41.2%; 95%C.I.=23.8-58.6) compared to those with de novo MDS (71.3%; 95%C.I.=65.3-77.2; P=0.004, Figure 2). In multivariate analysis of age, race, gender, histological subtype, and etiology (de novovs. therapy-related) utilizing Cox regression model, only t-MDS was associated with higher risk of death (HR=2.07, 95% C.I.=1.25-3.42, P=0.005). Conclusions Pediatric MDS is a rare disorder, with higher incidence among children younger than 1 year of age. Over two thirds of p-MDS patients will become long-term survivors, although significantly inferior outcome is seen in t-MDS. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.

scholarly journals A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Jun Wu ◽  
Yuqing Lou ◽  
Yi-Min Ma ◽  
Jun Xu ◽  
Tieliu Shi
Keyword(s):  
Overall Survival ◽  
Lung Adenocarcinoma ◽  
Risk Score ◽  
Early Stage ◽  
Differential Expression Analysis ◽  
The Cancer Genome Atlas ◽  
Clinical Staging ◽  
Risk Scores ◽  
Regulatory Relationship ◽  
Score Model

Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer with heterogeneous outcomes and diverse therapeutic responses. To classify patients into different groups and facilitate the suitable therapeutic strategy, we first selected eight microRNA (miRNA) signatures in The Cancer Genome Atlas (TCGA)-LUAD cohort based on multi-strategy combination, including differential expression analysis, regulatory relationship, univariate survival analysis, importance clustering, and multivariate combinations analysis. Using the eight miRNA signatures, we further built novel risk scores based on the predefined cutoff and beta coefficients and divided the patients into high-risk and low-risk groups with significantly different overall survival time (p-value &lt; 2 e−16). The risk-score model was confirmed with an independent dataset (p-value = 4.71 e−4). We also observed that the risk scores of early-stage patients were significantly lower than those of late-stage patients. Moreover, our model can also provide new insights into the current clinical staging system and can be regarded as an alternative system for patient stratification. This model unified the variable value as the beta coefficient facilitating the integration of biomarkers obtained from different omics data.

scholarly journals Clinical Outcome After Microsurgical Resection of Central Neurocytoma: A Single-Centre Analysis of 15 Years

2021 ◽  
Vol 12 ◽  
Author(s):  
Dan Cao ◽  
Yong Chen ◽  
Zhengqian Guo ◽  
Yibo Ou ◽  
Jian Chen
Keyword(s):  
Overall Survival ◽  
Progression Free Survival ◽  
Extent Of Resection ◽  
Central Neurocytoma ◽  
Complication Rates ◽  
Long Term Outcome ◽  
Free Survival ◽  
Risk Of Death

Objective: This study aimed to explore the immediate postoperative and long-term outcomes of central neurocytoma (CN) based on 15 years of experience in our institution.Methods: This single-institution study collected data of 43 patients with CN who underwent surgery between 2005 and 2020. We reviewed data of clinical, immediate postoperative outcome, and long-term outcome of patients. More specifically, we divided complications into neurological and regional complications groups.Results: Among the 43 patients with CN who underwent surgery, the transcortical (72.1%) or transcallosal (25.6%) approach was used. There were 18 patients (41.9%) who complained about postoperative neurological complications, including motor weakness (25.6%), memory deficit (18.6%), aphasia (7.0%), and seizure (4.7%). In addition, 18 patients suffered postoperative regional complications such as hydrocephalus (2.3%), hematoma (34.9%), infection (4.7%), and subcutaneous hydrops (2.3%). Only one-quarter of patients had suffered permanent surgical complications. The majority of patients recovered from the deficit and could turn back to normal life. There were no significant differences in the clinical outcomes between transcortical and transcallosal approaches. At a median follow-up of 61.8 months, the 5-year overall survival and progression-free survival were 87.0 and 74.0%, respectively. A multivariate Cox model analysis showed that the extent of resection was not related to progression-free survival. However, the extent of resection was significantly associated with overall survival, and gross total resection decreased the risk of death.Conclusions: Patients with CN show favorable outcomes after surgery. The transcortical and transcallosal approaches have similar postoperative complication rates and long-term follow-up outcomes. In terms of long-term prognosis, maximal safety resection should be the first choice of CN.

scholarly journals Polygenic Risk Score in Follicular Lymphoma Risk and Prognosis in a Population-Based Case-Control Study in Los Angeles County

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2296-2296
Author(s):  
Charlie Zhong ◽  
Jianning Luo ◽  
Chun R Chao ◽  
Susan Neuhausen ◽  
Joo Y. Song ◽  
...  
Keyword(s):  
Risk Factors ◽  
Overall Survival ◽  
Los Angeles ◽  
Genetic Risk ◽  
Los Angeles County ◽  
Case Control Study ◽  
Case Control ◽  
Risk Alleles ◽  
Control Study

Abstract Background: Although several prognostic factors are regularly utilized for follicular lymphoma (FL) - e.g., extent of disease, presence of B-symptoms, and the FL international prognostic index (IPI) - they do not fully account for the heterogeneity in patient outcomes. Etiologic risk factors may influence the heterogeneity of prognostic outcomes, but relatively few risk factors for FL have been identified and subsequently confirmed. Recent epidemiologic studies have uncovered genetic risk loci associated with FL risk. To date, the association between these risk alleles with FL prognosis remains unknown. We therefore sought to evaluate whether identified genetic risk loci specific to FL also play a role in FL prognosis. Methods: We previously conducted a population-based case-control study of primary, incident Non-Hodgkin Lymphoma (NHL) among women in Los Angeles County diagnosed from 2006 to 2009. A total of 230 FL cases were enrolled in the study along with 246 age- and race- matched controls. To ascertain treatment and follow-up information, medical records were retrieved and abstracted, and data linkages to the California hospitalization discharge records and SEER-Medicare were conducted. Based on abstracted data, we constructed a surrogate to the FL IPI. Genotyping for FL genetic risk alleles identified in the National Human Genome Research Institute-European Bioinformatics Institute genome wide association study catalog (rs12195582, rs13254990, rs17749561, rs4245081, and rs4938573) was conducted and used to construct a polygenic risk score (PRS). The PRS was computed by taking a weighted average of the five alleles and the log of their reported odds ratio and creating tertiles based on the values of our control. To confirm the risk association, we first evaluated the association between our PRS and FL risk, adjusted for demographic characteristics and potential confounders (e.g., smoking status, BMI, and family history of hematologic malignancies). We subsequently confirmed the prognostic performance of our reconstructed IPI and then evaluated the association between the PRS and FL outcomes, including overall survival (OS), defined as date of initial diagnosis to date of death or last known follow-up; and event-free survival at 12 months (EFS12) and 24 months (EFS24), where events consisted of progression, refractory disease, or death. Results: In case-control analysis, we confirmed an increased FL risk associated with the third tertile PRS (OR=2.19, 95% CI=1.22-3.94), compared to the first tertile. The median follow-up time among FL cases was 8.5 years (IQR: 7.1-10.1) after initial diagnosis: 50 (22%) FL cases had died, 198 (86%) achieved EFS12 and 186 (81%) achieved EFS24. The re-constructed FL-IPI in our case population was statistically significantly associated with overall survival (HR=4.00, 95% CI=1.32-12.16). In our multivariate model that included the PRS, we observed a marginally significant risk for longer overall survival (HR=0.39, 95% CI=0.15, 1.01), but no association with EFS12 or EFS24. No statistically significant associations of individual risk alleles and prognostic outcomes were observed. Race-specific results and evaluation of demographic and other risk factors on risk and survival will also be presented in relation to the PRS. Conclusion: In our population sample of FL cases identified from the Los Angeles County Cancer Registry and initially recruited for a case-control study, we confirmed the association between a PRS and FL risk. We further report a potential association between the PRS and improved overall survival, suggesting an opposite effect for the PRS on risk versus survival. Larger studies on FL with genetic data and prognostic outcomes are warranted to replicate this finding. Disclosures Chao: Seattle Genetics: Research Funding.

scholarly journals Identification Sixteen Metabolic Genes as Potential Biomarkers for Colon Adenocarcinoma 

2020 ◽  
Author(s):  
Binbin Cui ◽  
Fuqiang Zhao ◽  
Yanlong Liu ◽  
Xinyue Gu ◽  
Bomiao Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Risk Score ◽  
Cox Regression ◽  
Colon Adenocarcinoma ◽  
Curve Analysis ◽  
Gene Set Enrichment Analysis ◽  
Risk Scores ◽  
Metabolic Genes ◽  
Cox Analysis

Abstract Purpose Colon adenocarcinoma (COAD) is the most common primary malignant tumor of the digestive tract. It is still important to find important markers that affect the prognosis of COAD. This research aims to identify some key prognosis-related metabolic genes (PRMG) and establish a clinical prognosis model for COAD patients. Method We used The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) to obtain gene expression profiles of COAD, and then identified differentially expressed prognostic-related metabolic genes through R language and Perl software, Through univariate Cox analysis and least absolute shrinkage and selection operator (LASSO) Cox analysis to obtain target genes, established metabolic genes prognostic models and risk scores. Through COX regression analysis, independent risk factors affecting the prognosis of COAD were analyzed, and Receiver Operating Characteristic (ROC) curve analysis of independent prognostic factors was performed and a nomogram for predicting overall survival was constructed. Perform the consistency index (C-index) test and decision curve analysis (DCA) on the nomogram, and use Gene Set Enrichment Analysis (GSEA) to identify the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway of model genes. Result We selected PRMG based on the expression of metabolic genes, and used LASSO Cox regression to construct 16 metabolic gene (SEPHS1, P4HA1, ENPP2, PTGDS, GPX3, CP, ASPA, POLR3A, PKM, POLR2D , XDH, EPHX2, ADH1B, HMGCL, GPD1L and MAOA) models. The risk score generated from our model can well predict the survival prognosis of COAD. A nomogram based on the clinicopathological characteristics and risk scores of COAD can personally predict the overall survival rate of COAD patients. Conclusion We comprehensively identified metabolic genes related to the prognosis of COAD. The risk score based on the expression of 16 metabolic genes can effectively predict the prognosis of patients with COAD.

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