scholarly journals A three-gene signature might predict prognosis in patients with acute myeloid leukemia

2020 ◽  
Vol 40 (6) ◽  
Author(s):  
Xin Zhu ◽  
Qian Zhao ◽  
Xiaoyu Su ◽  
Jinming Ke ◽  
Yunyun Yi ◽  
...  
Keyword(s):  
Acute Myeloid Leukemia ◽  
Transcription Factor ◽  
High Risk ◽  
Myeloid Leukemia ◽  
Cox Regression ◽  
Risk Group ◽  
White Blood Cells ◽  
Gene Signature ◽  
Low Risk ◽  
Acute Myeloid

Abstract The identification of effective signatures is crucial to predict the prognosis of acute myeloid leukemia (AML). The investigation aimed to identify a new signature for AML prognostic prediction by using the three-gene expression (octamer-binding transcription factor 4 (OCT4), POU domain type 5 transcription factor 1B (POU5F1B) and B-cell-specific Moloney murine leukemia virus integration site-1 pseudogene 1 (BMI1P1). The expressions of genes were obtained from our previous study. Only the specimens in which three genes were all expressed were included in this research. A three-gene signature was constructed by the multivariate Cox regression analyses to divide patients into high-risk and low-risk groups. Receiver operating characteristic (ROC) analysis of the three-gene signature (area under ROC curve (AUC) = 0.901, 95% CI: 0.821–0.981, P<0.001) indicated that it was a more valuable signature for distinguishing between patients and controls than any of the three genes. Moreover, white blood cells (WBCs, P=0.004), platelets (PLTs, P=0.017), percentage of blasts in bone marrow (BM) (P=0.011) and complete remission (CR, P=0.027) had significant differences between two groups. Furthermore, high-risk group had shorter leukemia-free survival (LFS) and overall survival (OS) than low-risk group (P=0.026; P=0.006), and the three-gene signature was a prognostic factor. Our three-gene signature for prognosis prediction in AML may serve as a prognostic biomarker.

Treatment of Acute Myeloid Leukemia with the NOPHO-AML 2004 Study in Chinese Children: A Single Center Study

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 5270-5270
Author(s):  
Xiaoqin Feng ◽  
Chunfu Li
Keyword(s):  
Acute Myeloid Leukemia ◽  
High Risk ◽  
Myeloid Leukemia ◽  
Conflicts Of Interest ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Chinese Children ◽  
Hematopoietic Stem ◽  
Acute Myeloid

Abstract Objectives: The objective of the present study was to investigate the therapeutic efficacy and feasibility of NOPHO-AML 2004 study in the treatment of acute myeloid leukemia (AML; excluding acute promyelocytic leukemia) in Chinese children. Methods: Thirty-one children with novo AML treated with the NOPHO-AML 2004 study were recruited from Jan. 2010 to Dec. 2013, and the clinical data were retrospectively analyzed. Among 31 AML children, their age were from 2-14 years old (median age 8 years old). There were 12,15 and 4 children classified in low risk group, intermediate risk group and high risk group by cytogenetic risk classification respectively. Eight children received concomitant hematopoietic stem cell transplantation. Kaplan Meier method with Log-Rank testing was employed for survival analysis. Results: Follow-up was for a median 24 months (range: 5–50 months). The complete remission rate was 83.8%. The predicted 3-year leukemia free survival (LFS) rate was 53.8%. The LFS rate of low, intermediate and high risk group were 55.6%, 52.5% and 50.0% respectively. There was no significance in risk groups. The LFS rate of chemotherapy and chemotherapy concomitant HSCT were 42.7% and 87.5%, P<0.05. There were 2 cases of treatment related mortality including one case of sepsis and one case of ARDS. Conclusions: NOPHO-AML 2004 study is clinically efficacious for the treatment of AML in Chinese children. HSCT treatment had better outcome than only chemotherapy in childhood with non low risk AML in CR1 phase. Disclosures No relevant conflicts of interest to declare.

scholarly journals Detection of Measurable Residual Disease May Better Predict the Outcome Rather Than Mutations Based on Next-Generation Sequencing in Acute Myeloid Leukemia with Biallelic Mutations of CEBPA

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1449-1449
Author(s):  
Jing Wang ◽  
Hao Jiang ◽  
Xiaojun Huang ◽  
Guorui Ruan ◽  
Run-Qing Lu
Keyword(s):  
Acute Myeloid Leukemia ◽  
High Risk ◽  
Myeloid Leukemia ◽  
Residual Disease ◽  
Risk Group ◽  
Low Risk ◽  
Wild Type ◽  
Generation Sequencing ◽  
Acute Myeloid

Objectives: Acute myeloid leukemia (AML) patients with biallelic mutations of CEBPA (bi CEBPA) have a 30-50% relapse rate after standard chemotherapy. This study established the value of multiparameter flow cytometric measurable residual disease (MFC-MRD) detection, mutations based on next-generation sequencing (NGS), and compares the outcomes of risk stratification treatment in adult bi CEBPA AML patients. Methods: From March 2014 to December 2018, 124 patients with newly diagnosed acute myeloid leukemia with bi CEBPA were treated with chemotherapy. Out of these, 93 patients were analyzed further by a sensitive NGS assay for mutations in 87 candidate genes. MRD was detected in all patients by MFC after each cycle of induction and consolidation chemotherapy and every 3 months later. Results: Among these patients, 73 patients were male (58.9%), and median age was 37.5 (16-69) years. The expression of CD34, CD117, CD7, HLA-DR, CD15, CD33 and CD13 in 124 patients were 120 (96.8%), 123 (99.2%), 112 (90.3%), 107 (86.3), 93 (75.0%), 115 (92.7%) and 107 (86.3%) respectively. The most common co-occurring mutations were found in the GATA2 (n=29/93, 31%), WT1 (n=20/93, 21.7%), NRAS (n = 13/93, 14.0%), CSF3R (n = 12/93, 12.9%), and TET2 (n = 9/93, 9.6%) genes. All patients (100%) achieved complete remission (CR) including 114 patients (91.9%) who achieved it with only 1 induction course. The median follow-up was 33.5 (4-69) months. The 3-year Cumulative incidence of relapse (CIR), disease-free survival (DFS) and overall survival (OS) were 32.8%, 64.7%, and 84.3%, respectively. Univariate analysis results shown that WT1 Wild-type was favorable factor of 3-year CIR (23.3% vs. 47.0%, P=0.022) and 3-year DFS (75.5% vs 53.0%; P=0.031), GATA2 Wild-type had good trend for lower CIR and longer DFS and CSF3R Wild-type had inferior trend for higher CIR and shorter DFS. Patients with sustained positive MRD status after 2 consolidation cycles and MRD negative status loses in any time defined as "MRD high risk" had higher CIR (3-year CIR, 100% vs 25.5%; P&lt;0.001; 81.5% vs 6.4%; P&lt;0.001, respectively) and worse DFS and OS (3-year DFS, 0% vs 71.5%; P&lt;0.001; 16.8% vs 90.2%; P&lt;0.001, respectively; 3-year OS, 39.0% vs 89.8%; P&lt;0.001; 72.2% vs 96.5%; P=0.001, respectively ) than those with persistent negative MRD status that defined as "MRD low risk" (Figure). Multivariate analysis showed that MRD low risk was the only favorable factor of CIR, DFS and OS (CIR: HR=37.3, 95%CI: 8.6-161.3, P&lt;0.001;. DFS: HR=24.6, 95%CI: 7.2-84.0, P&lt;0.001; HR=28.2, 95%CI: 2.1-374.1, P=0.011; respectively). Thirty-two (91.4%) MRD high risk patients (P&lt;0.001) relapsed at a median time of 8 months (range: 3-32 months) include 21 patients of MRD negative status loses in any time and 11 patients with positive MRD status after 2 consolidation cycles. In totally 35 relapsed patients, 3 patients give up, 19 (61.3%) patients achieved CR2 after induction again. 15 CR2 and 4 non-remission patients underwent allo-HSCT achieved superior 3-year OS (83.0% vs 5.1%; p= 0.034; 75.0% vs 0%; p=0.006; respectively) than chemotherapy. To assess the role of risk stratification treatment by transplant or non-transplant, the124 patients were divided into 2 groups by the unique risk factor: MRD high risk group (n=43, 34.7%) and MRD low risk group (n=81, 65.3%). In the MRD low risk group (median follow-up: 35 months; range: 4-65 months), there was no significant difference in probabilities of 3-year OS (92.3% vs. 96.9%, P=0.428) between the transplant and non-transplant cohorts. In the MRD high risk group (median follow-up: 30 months; range: 7-69 months), 3-year OS was significantly better in the transplant cohort than in the non-transplant cohort (84.0% vs. 44.3%, p=0.007).Conclusions: MRD high risk may better predict the outcome rather than mutations based on NGS in AML with bi CEBPA, and allo-HSCT may achieve superior survival in MRD high risk patients. Key words: Acute myeloid leukemia with biallelic CEBPA mutations; next-generation sequencing; multiparameter flow cytometric measurable residual disease; allogeneic stem cell transplantation; Chemotherapy Disclosures No relevant conflicts of interest to declare.

scholarly journals Construction of Immune-Related Prognostic Signatures in Acute Myeloid Leukemia

2020 ◽  
Author(s):  
Ruyi Xu ◽  
Yi Li ◽  
Yang Liu ◽  
Jianwei Qu ◽  
Wen Cao ◽  
...  
Keyword(s):  
Acute Myeloid Leukemia ◽  
High Risk ◽  
Myeloid Leukemia ◽  
Cox Regression ◽  
Risk Group ◽  
Early Stage ◽  
Chemotherapy Resistance ◽  
High Risk Group ◽  
Cox Regression Analysis ◽  
Acute Myeloid

Abstract Background: Acute Myeloid Leukemia (AML) is characterized as a type of hematological malignancy with poor survival. Accumulated evidence showed that dysregulated immune activities contribute to the pathogenesis of AML and accelerate the development of chemotherapy resistance. Thus, we aimed to construct prognostic signatures based on patients’ immune features to sort out the high-risk group and to identify survival-related checkpoint molecules as potential therapeutic targets.Methods: In the current study, we developed two prognostic signatures based on immune genes and infiltrated fraction of immune cells, respectively, using a least absolute shrinkage and selection operator model, and Cox regression analysis on 415 samples obtained from TCGA and GEO databases. Results: We found the optimum strategy for predicting patients’ survival is combined using these two prognostic immune-related signatures. Through our established signatures, we classified patients into Favorable Risk group and Poor Risk group, who showed significantly different OS and DFS. We further demonstrated the checkpoint molecules’ profile in different risk groups. Conclusions: we constructed a powerful prognostic tool here to help classify high-risk patients in early-stage, who may benefit from additional immune therapies by targeting identified checkpoint molecules.

scholarly journals Identification of prognostic gene signature associated with microenvironment of lung adenocarcinoma

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8128 ◽  
Author(s):  
Cheng Yue ◽  
Hongtao Ma ◽  
Yubai Zhou
Keyword(s):  
High Risk ◽  
Lung Adenocarcinoma ◽  
Prognostic Model ◽  
Cox Regression ◽  
Risk Group ◽  
Expression Profiles ◽  
Gene Signature ◽  
Low Risk ◽  
Differentially Expressed ◽  
Lasso Regression

Background Lung cancer has the highest morbidity and mortality worldwide, and lung adenocarcinoma (LADC) is the most common pathological subtype. Accumulating evidence suggests the tumor microenvironment (TME) is correlated with the tumor progress and the patient’s outcome. As the major components of TME, the tumor-infiltrated immune cells and stromal cells have attracted more and more attention. In this study, differentially expressed immune and stromal signature genes were used to construct a TME-related prognostic model for predicting the outcomes of LADC patients. Methods The expression profiles of LADC samples with clinical information were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The differentially expressed genes (DEGs) related to the TME of LADC were identified using TCGA dataset by Wilcoxon rank sum test. The prognostic effects of TME-related DEGs were analyzed using univariate Cox regression. Then, the least absolute shrinkage and selection operator (LASSO) regression was performed to reduce the overfit and the number of genes for further analysis. Next, the prognostic model was constructed by step multivariate Cox regression and risk score of each sample was calculated. Then, survival and Receiver Operating Characteristic (ROC) analyses were conducted to validate the model using TCGA and GEO datasets, respectively. The Kyoto Encyclopedia of Genes and Genomes analysis of gene signature was performed using Gene Set Enrichment Analysis (GSEA). Finally, the overall immune status, tumor purity and the expression profiles of HLA genes of high- and low-risk samples was further analyzed to reveal the potential mechanisms of prognostic effects of the model. Results A total of 93 TME-related DEGs were identified, of which 23 DEGs were up-regulated and 70 DEGs were down-regulated. The univariate cox analysis indicated that 23 DEGs has the prognostic effects, the hazard ratio ranged from 0.65 to 1.25 (p < 0.05). Then, seven genes were screened out from the 23 DEGs by LASSO regression method and were further analyzed by step multivariate Cox regression. Finally, a three-gene (ADAM12, Bruton Tyrosine Kinase (BTK), ERG) signature was constructed, and ADAM12, BTK can be used as independent prognostic factors. The three-gene signature well stratified the LADC patients in both training (TCGA) and testing (GEO) datasets as high-risk and low-risk groups, the 3-year area under curve (AUC) of ROC curves of three GEO sets were 0.718 (GSE3141), 0.646 (GSE30219) and 0.643 (GSE50081). The GSEA analysis indicated that highly expressed ADAM12, BTK, ERG mainly correlated with the activation of pathways involving in focal adhesion, immune regulation. The immune analysis indicated that the low-risk group has more immune activities and higher expression of HLA genes than that of the high-risk group. In sum, we identified and constructed a three TME-related DEGs signature, which could be used to predict the prognosis of LADC patients.

scholarly journals An Immune Checkpoint-Related Gene Signature for Predicting Survival of Pediatric Acute Myeloid Leukemia

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Feng Jiang ◽  
Xin-Yu Wang ◽  
Ming-Yan Wang ◽  
Yan Mao ◽  
Xiao-Lin Miao ◽  
...  
Keyword(s):  
Acute Myeloid Leukemia ◽  
Immune Checkpoint ◽  
Myeloid Leukemia ◽  
Immune Cell ◽  
Cox Regression ◽  
Secondary Data ◽  
Gene Signature ◽  
Pediatric Acute Myeloid Leukemia ◽  
Pediatric Aml ◽  
Acute Myeloid

Objective. The aim of this research was to create a new genetic signature of immune checkpoint-associated genes as a prognostic method for pediatric acute myeloid leukemia (AML). Methods. Transcriptome profiles and clinical follow-up details were obtained in Therapeutically Applicable Research to Generate Effective Treatments (TARGET), a database of pediatric tumors. Secondary data was collected from the Gene Expression Omnibus (GEO) to test the observations. In univariate Cox regression and multivariate Cox regression studies, the expression of immune checkpoint-related genes was studied. A three-mRNA signature was developed for predicting pediatric AML patient survival. Furthermore, the GEO cohort was used to confirm the reliability. A bioinformatics method was utilized to identify the diagnostic and prognostic value. Results. A three-gene (STAT1, BATF, EML4) signature was developed to identify patients into two danger categories depending on their OS. A multivariate regression study showed that the immune checkpoint-related signature (STAT1, BATF, EML4) was an independent indicator of pediatric AML. By immune cell subtypes analyses, the signature was correlated with multiple subtypes of immune cells. Conclusion. In summary, our three-gene signature can be a useful tool to predict the OS in AML patients.

Elderly Patients with Acute Myeloid Leukemia Are Not All the Same: Results of the Prospective DSIL AML96 Trial.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 1840-1840
Author(s):  
Markus Andreas Schaich ◽  
Walter E. Aulitzky ◽  
Heinrich Bodenstein ◽  
Martin Bornhaeuser ◽  
Thomas Illmer ◽  
...  
Keyword(s):  
Acute Myeloid Leukemia ◽  
Prognostic Factors ◽  
High Risk ◽  
Elderly Patients ◽  
Induction Therapy ◽  
Myeloid Leukemia ◽  
Low Risk ◽  
Severe Toxicity ◽  
Elderly Aml ◽  
Acute Myeloid

Abstract The majority of patients with acute myeloid leukemia (AML) are older than 60 years at diagnosis. However, treatment results for these elderly patients are still unsatisfactory. This is thought to be due to a more aggressive disease, preexisting co-morbidities or a decreased tolerance for intensive treatment approaches. As for younger patients there is growing evidence that elderly AML patients may be divided into prognostic subgroups. So far data on prognostic factors in this group of patients are still sketchy. Between February 1996 and March 2005 a total of 827 elderly AML patients with a median age of 67 (61–87) years were treated within the prospective AML96 trial of the German Study Initiative Leukemia (DSIL). 643 patients had de novo and 184 patients secondary disease. All patients were scheduled to receive a double induction therapy with Daunorubicin and Ara-C (DA3+7). The consolidation therapy consisted of one course of m-Amsacrine and intermediate-dose (10g/m2) Ara-C. 265 (32%) patients reached CR criteria after double induction therapy. Forty-two patients (5%) had only a PR, 307(37%) displayed refractory disease, 126(15%) died during induction therapy and 77(10%) received only one course of induction therapy due to severe toxicity. Out of the 265 patients in CR 120 (45%) patients received the consolidation course. The strongest independent prognostic factors for achieving a CR were less than 10% blasts in the day 15 bone marrow, the presence of a NPM mutation or a low-risk karyotype (p&lt;0.0001 each). The 3-year overall (OS) and relapse-free survival (RFS) rates were 18% for all patients and 17% for all patients in CR, respectively. In the multivariate analysis the strongest prognostic factors for survival were age, LDH and cytogenetics (p&lt;0.0001 each). Using these three parameters a prognostic model for survival was established. Patients older than 70 years with intermediate- or high-risk cytogenetics and a high LDH level at diagnosis (n=213) had a 3-year OS of only 9%, whereas patients with low-risk cytogenetics or patients with intermediate-risk cytogenetics, younger than 70 years and a low LDH level (n=237) had a 3-year OS of 32%. All other patients (n=377) had an intermediate 3-year OS of 15% (p&lt;0.0001). In conclusion, elderly AML patients can be stratified into prognostic groups. AML patients older than 70 years with high LDH levels and intermediate- or high-risk cytogenetics at diagnosis do not profit from conventional chemotherapy.

Impact of allogeneic hematopoietic stem cell transplantation on pediatric acute myeloid leukemia of FAB subtypes M4 and M5

2020 ◽  
Author(s):  
Yu-juan Xue ◽  
Pan Suo ◽  
Yi-fei Cheng ◽  
Ai-dong Lu ◽  
Yu Wang ◽  
...  
Keyword(s):  
Acute Myeloid Leukemia ◽  
Stem Cell ◽  
High Risk ◽  
Myeloid Leukemia ◽  
Risk Groups ◽  
Low Risk ◽  
Intermediate Risk ◽  
Hematopoietic Stem ◽  
Pediatric Acute Myeloid Leukemia ◽  
Acute Myeloid

Abstract Background: FAB-M4 and M5 are unique subgroups of pediatric acute myeloid leukemia. However, for these patients, few studies have demonstrated the clinical and biological characteristics and efficacy of hematopoietic stem cell transplantation (HSCT), and especially haplo-HSCT. Procedure: We retrospectively evaluated the outcomes of 70 children with FAB-M4/M5 enrolled in our center from January 2013 to December 2017. Results: Of the patients, 32, 23, and 15 were in low-risk, intermediate-risk, and high-risk groups, respectively. T(16;16), inv16/CBFB-MYH11 was the most frequent cytogenetic abnormality. Among detected genetic alterations, WT1 was mutated at the highest frequency, followed by FLT3-ITD, NPM1, and CEBPA. Thirty-three patients received HSCT (haplo-HSCT = 30), of which four, 18, and 11 were in low-risk, intermediate-risk, and high-risk groups, respectively. For all patients, the 3-year overall survival (OS), event-free survival (EFS), and cumulative incidence of relapse (CIR) were 85.3 ± 4.3%, 69.0 ± 5.7%, and 27.9 ± 5.2%, respectively. By multivariate analysis, low-risk stratification predicted superior OS, EFS, and PLT ≤ 50 × 109/L at diagnosis, with FLT3-ITD mutations predicting higher CIR and poorer EFS. In intermediate- and high-risk groups, HSCT was independently associated with higher EFS and lower CIR. With a median post-transplant observation time of 30.0 months, the 3-year OS, EFS, CIR, and non-relapse mortality in the haplo-HSCT group were 74.2 ± 8.6%, 68.3 ± 8.9, 24.6 ± 7.6%, and 6.6 ± 4.1%, respectively. Conclusions: Risk-oriented treatment is important for pediatric FAB-M4/M5. For intermediate- and high-risk groups, HSCT significantly improved survival and haplo-HSCT might be a viable alternative approach.

Early immunophenotypical evaluation of minimal residual disease in acute myeloid leukemia identifies different patient risk groups and may contribute to postinduction treatment stratification

Blood ◽  
2001 ◽  
Vol 98 (6) ◽  
pp. 1746-1751 ◽  
Author(s):  
Jesús F. San Miguel ◽  
Marı́a B. Vidriales ◽  
Consuelo López-Berges ◽  
Joaquı́n Dı́az-Mediavilla ◽  
Norma Gutiérrez ◽  
...  
Keyword(s):  
Acute Myeloid Leukemia ◽  
High Risk ◽  
Minimal Residual Disease ◽  
Myeloid Leukemia ◽  
Residual Disease ◽  
Response To Therapy ◽  
Low Risk ◽  
Prognostic Impact ◽  
Minimal Residual ◽  
Acute Myeloid

Abstract Early response to therapy is one of the most important prognostic factors in acute leukemia. It is hypothesized that early immunophenotypical evaluation may help identify patients at high risk for relapse from those who may remain in complete remission (CR). Using multiparametric flow cytometry, the level of minimal residual disease (MRD) was evaluated in the first bone marrow (BM) in morphologic CR obtained after induction treatment from 126 patients with acute myeloid leukemia (AML) who displayed aberrant phenotypes at diagnosis. Based on MRD level, 4 different risk categories were identified: 8 patients were at very low risk (fewer than 10−4 cells), and none have relapsed thus far; 37 were at low risk (10−4 to 10−3 cells); and 64 were at intermediate risk (fewer than 10−3 to 10−2 cells), with 3-year cumulative relapse rates of 14% and 50%, respectively. The remaining 17 patients were in the high-risk group (more than 10−2 residual aberrant cells) and had a 3-year relapse rate of 84% (P = .0001). MRD level not only influences relapse-free survival but also overall survival (P = .003). The adverse prognostic impact was also observed when M3 and non-M3 patients with AML were separately analyzed, and was associated with adverse cytogenetic subtypes, 2 or more cycles to achieve CR, and high white blood cell counts. Multivariate analysis showed that MRD level was the most powerful independent prognostic factor, followed by cytogenetics and number of cycles to achieve CR. In conclusion, immunophenotypical investigation of MRD in the first BM in mCR obtained after AML induction therapy provides important information for risk assessment in patients with AML.

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