Impact of region of diagnosis, ethnicity, age, and gender on survival in acute myeloid leukemia (AML)

Real-world treatment outcomes from a retrospective cohort of patients with acute myeloid leukemia from an urban safety net hospital

IntroductionWhile continual advancements in acute myeloid leukemia have augmented response rates and survival, outcomes in clinical trials may not correlate with real-world practice as trials may underrepresent individuals with comorbidities, decreased performance status, and older age. Additionally, clinical trials may underrepresent certain ethnicities, and disparities based on ethnicity, socioeconomic status, and insurance have been demonstrated in acute myeloid leukemia.MethodsWe performed a retrospective chart review of adult patients with acute myeloid leukemia who were treated at Harbor-UCLA from 2014 to 2022 to examine patient characteristics, management patterns, and outcomes in a safety net hospital setting.ResultsThe median age was 56 years old (range 18-84). In regards to risk stratification, 22%, 33%, and 41% had favorable, intermediate, and adverse risk acute myeloid leukemia, respectively. The most common induction regimens included 7 + 3 (55%), azacitidine (10%), azacitidine + venetoclax (7%), and 7 + 3 + midostaurin (7%). The complete remission rate was 51%. Among patients who received intensive induction chemotherapy, 15% underwent re-induction with a second cycle, 51% received consolidation therapy, and 5% received maintenance therapy with a targeted agent. Overall, 12% of patients received allogeneic stem cell transplant. Median overall survival was 12.2 months, and 5-year overall survival was 18%.ConclusionsSuboptimal response rates and survival in this population may be related to low rates of re-induction and allogeneic transplant in addition to high rates of adverse cytogenetics, secondary acute myeloid leukemia, and supportive care only. Efforts to increase access to clinical trials, novel therapies, and transplants for diverse and underinsured populations are essential.

Prediction of survival in acute myeloid leukemia patients by extracellular to intracellular water ratio and sarcopenia: development and validation of a novel nomogram

Acute myeloid leukemia (AML) commonly affects the elderly with a poor prognosis. Body water composition analysis provides a new perspective for biomedical research. This study aims to develop and validate a simple nomogram for predicting overall survival (OS) in AML survivors. A total of 291patients were enrolled and randomly divided into a training cohort and an internal validation cohort. The median duration of follow-up was 32.2 months.The LASSO regression was used to screen predictors of survival in the training cohort, and the multivariate Cox model was used to establish a nomogram. The discrimination and calibration of the nomogram were evaluated using the C-index, area under the time-dependent receiver operating characteristic curve (time-dependent AUC), and calibration plots. The net benefits of the nomogram at different threshold probabilities were quantified. Five predictors of AML survival were identified: Age, Extracellular water/Intracellular water (ECW/ICW) ratio, European Leukemia Net Risk, Sarcopenia, and WBC. The nomogram showed good performance in both the training cohort (C-index 0.755, 95% CI 0.728-0.782) and the internal validation cohort (C-index 0.773, 95% CI 0.729 to 0.817). The AUC values for the training cohort were 0.866, 0.849, 0.818, and 0.779 at 12, 24, 36, and 48 months, respectively; the AUC values for the internal validation cohort were 0.799, 0.779, 0.797, and 0.786 at 12, 24, 36, and 48 months, respectively. The calibration curves of the nomogram showed acceptable consistency, and the decision curve analysis indicated higher net benefit in clinical practice. In this study, we developed and validated an easily applicable model to predict OS in AML patients.

Diverse real-life outcomes after intensive risk-adapted therapy for 1034 AML patients from the CETLAM Group

Given the heterogeneity of acute myeloid leukemia patients, it is necessary to identify patients considered fit for intensive therapy but who will perform poorly, and in whom alternative approaches deserve investigation. We analyzed 1034 fit adults ≤70 years intensively treated between 2012 and 2022 in the CETLAM group. Young adults ( ≤ 60 years) presented higher remission rates and improved survival than older adults above that age (CR 79% vs. 73%; p = 0.03 and 4-yr OS 53% vs. 33%; p < 0.001). Remission and survival outcomes varied among different genetic subsets. An especially adverse genetic group included complex, monosomal karyotype, TP53 alterations (deleted/mutated), and MECOMr. Transplant feasibility in this very adverse risk group was low, and OS and EFS at 4 years were 14% and 12%, in contrast to 70% and 57% in the favorable group and 38% and 32% in all other patients. We integrated clinical and genetic data into the Intensive Chemotherapy Score for AML (ICSA) with 6-risk categories with significantly different remission rates and OS, validated in another cohort of 581 AML patients from a previous CETLAM protocol. In summary, we identified groups of fit patients that benefit differently from an intensive approach which may be helpful in future treatment decisions.

Nomogram models predicting prognosis for patients with t(8;21) acute myeloid leukemia: a SEER-based study

BACKGROUND

Acute myeloid leukemia (AML) with t(8;21) manifests as a diverse hematological malignancy. Although it was categorized into a favorable subtype, 30-40% of patients experience relapse. The objective of this research was to devise a nomogram for the accurate anticipation of both overall survival (OS) and cancer-specific survival (CSS) in t(8;21) AML.

METHODS

From the Surveillance, Epidemiology, and End Results (SEER) database, individuals diagnosed with t(8;21) AML from 2000 to 2018 were selected. Prognostic factors for t(8;21) AML were identified using Cox regression analysis and Akaike Information Criterion (AIC), forming the basis for constructing prognostic nomograms.

RESULTS

Key variables, including first primary tumor, age group, race, and chemotherapy, were identified and integrated into the nomogram. The C-index values for the nomograms predicting OS and CSS were 0.753 (validation: 0.765) and 0.764 (validation: 0.757), respectively. Ultimately, based on nomogram scores, patients were stratified into high-risk and low-risk groups, revealing significant disparities in both OS and CSS between these groups (P < 0.001).

CONCLUSION

This study innovatively crafted nomograms, incorporating clinical and therapeutic variables, to forecast the 1-, 3-, and 5-year survival rates for individuals with t(8;21) AML.

The Clinical Profile of Newly Diagnosed Acute Myeloid Leukemia at a Tertiary Care Center in South India: A Cross-Sectional Study

Background and objective Acute myeloid leukemia (AML) is a heterogeneous and aggressive blood malignancy prevalent among both children and adults, accounting for a significant proportion of acute leukemia cases worldwide. Our study aimed to shed light on the demographic and clinical profile and risk stratification of newly diagnosed AML cases at a tertiary care government hospital in South India. Methods We conducted a cross-sectional study involving 221 patients with AML in the Department of Clinical Hematology, Rajiv Gandhi Government General Hospital and Madras Medical College, Chennai, Tamil Nadu from January 2020 to December 2022. All data were collected from the hospital database of patients' medical records. A thorough analysis of clinical history, comorbidities, laboratories, risk stratification, and chemotherapy regimen was performed. The patients included in the study were newly diagnosed cases of AML over the age of 13 years, and we excluded all the relapsed cases. Results The highest proportion of patients were in the age group of 41-50 years (22.2%), and there was a significant male predominance (55.7%) in the cohort. Occupationwise, 31% of the study population were farmers, followed by housewives (16.3%). While no identifiable risk factors for AML were found in 191 cases (86.4%), 4.1% had undergone previous chemotherapy, and 3.6% had myelodysplastic syndrome (MDS). Hyperuricemia was noted in 50 cases (22.6%) while 8.6% had tumor lysis syndrome (TLS). About 53.8% of cases fell in the intermediate risk category of AML. Standard induction chemotherapy was administered in 87.3% of cases of AML. Conclusions Gaining awareness and knowledge about the regional demographic data and clinical presentation of AML will aid in the early detection, prompt referral, and initiation of treatment, thereby further improving patient outcomes in the era of targeted therapy and hematopoietic stem cell transplantation.

PARP-1 improves leukemia outcomes by inducing parthanatos during chemotherapy

Previous chemotherapy research has focused almost exclusively on apoptosis. Here, a standard frontline drug combination of cytarabine and idarubicin induces distinct features of caspase-independent, poly(ADP-ribose) polymerase 1 (PARP-1)-mediated programmed cell death "parthanatos" in acute myeloid leukemia (AML) cell lines (n = 3/10 tested), peripheral blood mononuclear cells from healthy human donors (n = 10/10 tested), and primary cell samples from patients with AML (n = 18/39 tested, French-American-British subtypes M4 and M5). A 3-fold improvement in survival rates is observed in the parthanatos-positive versus -negative patient groups (hazard ratio [HR] = 0.28-0.37, p = 0.002-0.046). Manipulation of PARP-1 activity in parthanatos-competent cells reveals higher drug sensitivity in cells that have basal PARP-1 levels as compared with those subjected to PARP-1 overexpression or suppression. The same trends are observed in RNA expression databases and support the conclusion that PARP-1 can have optimal levels for favorable chemotherapeutic responses.

Prevalence of Gene Rearrangement by Multiplex PCR in De Novo Acute Myeloid Leukemia in Adult Iraqi Patients

Introduction

Gene rearrangements of acute myeloid leukemia (AML) play a significant role in categorizing patients and provide valuable information about prognosis and treatment choices. However, in Iraq, the prevalence and prognostic significance of gene rearrangements in AML have not been previously examined.

Methods

This study utilized a multiplex reverse transcription real-time PCR (RT-qPCR) system to identify gene rearrangements in a group of 115 adult patients from Iraq who had been diagnosed with De Novo AML. The diagnosis of AML was confirmed through blood film and flow cytometry. The ethical committee of the College of Medicine at the University of Baghdad provided approval for this research study.

Results

In this study, 66.1% of the patients diagnosed with acute myeloid leukemia (AML) exhibited distinct genetic abnormalities. Among these abnormalities, the most frequent was the rearrangement involving the KMT2A gene, observed in 19.9% of the patients. The risk stratification analysis revealed that 40% of the patients were classified as having a favorable risk, 4.3% as intermediate risk, and 25.2% as adverse risk. A subtype of AML known as core-binding factor (CBF) AML was identified in 21.7% of the cases, with 84% of these patients achieving complete remission. The NPM-RARA gene rearrangement, found in 43% of acute promyelocytic leukemia (APL) cases, was associated with a 71% complete remission rate. Among patients with KMT2A rearrangement, which accounted for 19.9% of all AML cases, the MLL-AF10 rearrangement was the most common, although only one patient with KMT2A rearrangement achieved complete remission. Furthermore, the analysis of demographic data revealed a significant association between increased risk and advanced age, presence of comorbidities, and FAB classification (M0 subtype).

Conclusion

The prevalence of genetic rearrangements in Iraqi De Novo AML patients is higher than the global trend, highlighting the importance of genetic characterization in risk assessment and treatment decisions.

A Survival Analysis of Acute Myeloid Leukemia Patients Treated With Intensive Chemotherapy: A Single Center Experience

INTRODUCTION

Acute myeloid leukaemia (AML) is a haematological disease associated with a dismal prognosis, despite major progress made in recent years in terms of antileukemic agents and supportive care.

METHODS

We investigated the results of the intensive treatment of 133 fit AML patients (de novo and secondary) from a referral cancer centre in Romania, treated between January 2015 and December 2021.

RESULTS

We included 79 male and 54 female patients with a median age of 53 years (range 18-70). Molecular biology analysis was available for 82.7% of patients, whereas karyotype analysis was only available for 33% of patients. The median overall survival (OS) was 8.7 months, and the disease-free survival rate was 26.3% at a median follow-up of 33.7 months. The complete remission (CR) rate after induction was 48.9% for all patients and 61.9% for patients who were assessable (excluding patients who died before being assessed for response). Twelve patients underwent allogeneic bone marrow transplantation (BMT), with the median OS not reached. Early mortality (EM), defined as death during the first 30 days after admission, was 17.3%, with the main cause of death being septic shock (78.3%). Elderly patients (≥60 years of age) had a lower OS, more primary refractory disease, and higher rates of early mortality.

CONCLUSION

Complete remission rates and OS in our cohort were lower than in other reports. Early mortality was unexpectedly high, mainly due to infections, which were the main causes of death in our cohort.

One-Year Survival and Prognosticators of Adults With Acute Leukemia at the Uganda Cancer Institute

PURPOSE

Acute leukemias are associated with substantial morbidity and mortality, particularly in the adult population. Despite an increasing burden of acute leukemia in developing countries, there are limited data on clinical outcomes and prognostic factors in this setting. In this study, we aimed to describe the clinical characteristics, survival, and prognostic factors of adults with acute leukemia at the Uganda Cancer Institute (UCI).

METHODS

A retrospective cohort study was conducted between January 2009 and December 2018, reviewing data of patients 18 years or older with a cytopathologic diagnosis of acute leukemia at UCI. Data were extracted on clinical and laboratory characteristics, response to treatment, and survival. Cox-proportional hazards regression and survival analysis were performed to determine survival rates and associated factors. P < .05 was considered statistically significant.

RESULTS

In total, 233 participants were enrolled. Most (59.2%. n = 138) participants were male, with a median age of 32 years (IQR, 23-48 years), and 136 (58.4%) had AML. Overall, the 1-year survival was 16.5%, with a median survival time of 47 (IQR, 21-219) days. Predictors of mortality were being a female (adjusted hazard ratio [aHR], 2.8; 95% CI, 1.2 to 6.7; P = .022) and overweight (aHR, 4.2; 95% CI, 1.3 to 13.4; P = .015). Among the patients who had AML, the predictors were poor Eastern Cooperative Oncology Group (ECOG; aHR, 3.1; 95% CI, 1.6 to 6.2; P = .001) and HIV (aHR, 6.0; 95% CI, 1.7 to 20.5; P = .004). Among the patients who had ALL, the predictors were poor ECOG (aHR, 2.3; 95% CI, 1.3 to 4.1; P = .006).

CONCLUSION

Patients with acute leukemia in Uganda have poor overall survival. Prospective studies are recommended to better understand causes of early mortality.

Acute myeloid leukemia in the medically unfit elderly patients

Acute Myeloid Leukemia is a clonal proliferative disorder whose incidence increases with age. While studies have shown that the elderly medically unfit patients have poorer outcomes with intensive chemotherapy, a vast majority of them are deemed ineligible for intensive chemotherapy. Multiple studies have also shown that poor performance status prior to treatment initiation affects the prognosis. An accurate comprehensive assessment is hence vital to the selection of such patients. The chemotherapy agents that have been used for AML in the medically unfit patients have also changed significantly in the past few years. In this review we focus on the importance of comprehensive geriatric assessment prior to chemotherapy initiation among patients who are 75 years and older and the treatment approaches available for the medically unfit, Acute Myeloid Leukemia patients.

Validation and refinement of the 2022 European LeukemiaNet genetic risk stratification of acute myeloid leukemia

The revised 2022 European LeukemiaNet (ELN) AML risk stratification system requires validation in large, homogeneously treated cohorts. We studied 1118 newly diagnosed AML patients (median age, 58 years; range, 18-86 years) who received cytarabine-based induction chemotherapy between 1999 and 2012 and compared ELN-2022 to the previous ELN-2017 risk classification. Key findings were validated in a cohort of 1160 mostly younger patients. ELN-2022 reclassified 15% of patients, 3% into more favorable, and 12% into more adverse risk groups. This was mainly driven by patients reclassified from intermediate- to adverse-risk based on additional myelodysplasia-related mutations being included as adverse-risk markers. These patients (n = 79) had significantly better outcomes than patients with other adverse-risk genotypes (5-year OS, 26% vs. 12%) and resembled the remaining intermediate-risk group. Overall, time-dependent ROC curves and Harrel's C-index controlling for age, sex, and AML type (de novo vs. sAML/tAML) show slightly worse prognostic discrimination of ELN-2022 compared to ELN-2017 for OS. Further refinement of ELN-2022 without including additional genetic markers is possible, in particular by recognizing TP53-mutated patients with complex karyotypes as "very adverse". In summary, the ELN-2022 risk classification identifies a larger group of adverse-risk patients at the cost of slightly reduced prognostic accuracy compared to ELN-2017.

Induction Therapy and Survival for Acute Myeloid Leukemia in Hispanic Adults from Puerto Rico

BACKGROUND

Acute myeloid leukemia (AML) is the most common type of leukemia in adults. There are no previous studies evaluating AML treatment patterns in Puerto Rico. We describe the first-line therapy patterns and survival of patients diagnosed with AML in Puerto Rico using the Puerto Rico Central Cancer Registry Health Insurance Linkage Database (2011-2015).

METHODS

We describe patient characteristics according to intensive, non-intensive, and non-treatment status. We used Cox proportional hazard models to evaluate the factors associated with the risk of death stratified by intensive and non-intensive therapy. For this study, 385 patients with AML were included.

RESULTS

The mean age was 67 years old and 50.1% were female. Nearly half of AML patients (46.8%) received intensive treatment, 23.6% received non-intensive treatment, and 26.2% did not receive treatment. The overall 3-year survival rate was 17.9%. Among those who received intensive therapy, the risk of death among females was lower than males (hazard ratio [HR]: 0.64, 95% confidence interval [CI]: 0.44-0.93). Patients 60 years or older who received intensive treatment had a higher risk of death than younger patients (HR: 1.67, 95% CI: 1.09-2.55). Patients with poor/adverse risk receiving intensive (HR: 3.43, 95% CI: 1.76-6.69) or non-intensive (HR: 4.32, 95% CI: 1.66-11.28) treatment had a higher risk of death than patients with a favorable risk category.

CONCLUSION

Our findings are the first step to monitor the quality of care of patients with AML in Puerto Rico, particularly related to the administration of appropriate induction therapies, which is one of the most important predictors of AML survival.

Comprehensive analysis for cellular senescence-related immunogenic characteristics and immunotherapy prediction of acute myeloid leukemia

In malignancies, cellular senescence is critical for carcinogenesis, development, and immunological regulation. Patients with acute myeloid leukemia (AML) have not investigated a reliable cellular senescence-associated profile and its significance in outcomes and therapeutic response. Cellular senescence-related genes were acquired from the CellAge database, while AML data were obtained from the GEO and TCGA databases. The TCGA-AML group served as a training set to construct a prognostic risk score signature, while the GSE71014 set was used as a testing set to validate the accuracy of the signature. Through exploring the expression profiles of cellular senescence-related genes (SRGs) in AML patients, we used Lasso and Cox regression analysis to establish the SRG-based signature (SRGS), which was validated as an independent prognostic predictor for AML patients via clinical correlation. Survival analysis showed that AML patients in the low-risk score group had a longer survival time. Tumor immune infiltration and functional enrichment analysis demonstrated that AML patients with low-risk scores had higher immune infiltration and active immune-related pathways. Meanwhile, drug sensitivity analysis and the TIDE algorithm showed that the low-risk score group was more susceptible to chemotherapy and immunotherapy. Cell line analysis in vitro further confirmed that the SRGs in the proposed signature played roles in the susceptibility to cytarabine and YM155. Our results indicated that SRGS, which regulates the immunological microenvironment, is a reliable predictor of the clinical outcome and immunotherapeutic response in AML.

Polymorphisms in the Genes Coding for TLRs, NLRs and RLRs Are Associated with Clinical Parameters of Patients with Acute Myeloid Leukemia

Toll-like receptors (TLRs), NOD-like receptors (NLRs), and RIG-I-like receptors (RLRs) are major elements of the innate immune system that recognize pathogen-associated molecular patterns. Single-nucleotide polymorphisms (SNPs) in the TLR, NLR, and RLR genes may lead to an imbalance in the production of pro- and anti-inflammatory cytokines, changes in susceptibility to infections, the development of diseases, and carcinogenesis. Acute myeloid leukemia (AML) is a bone marrow malignancy characterized by uncontrolled proliferation of transformed myeloid precursors. We retrospectively analyzed 90 AML patients. We investigated the effect of fifteen SNPs located in the genes coding for RLR1 (rs9695310, rs10738889, rs10813831), NOD1 (rs2075820, rs6958571), NOD2 (rs2066845, rs2066847, rs2066844), TLR3 (rs5743305, rs3775296, 3775291), TLR4 (rs4986791, rs4986790), and TLR9 (rs187084, rs5743836). We observed that TLR4 rs4986791, TLR9 rs5743836, and NOD2 rs2066847 were associated with CRP levels, while RLR-1 rs10738889 was associated with LDH level. Furthermore, we found TLR3 rs5743305 AA to be more common in patients with infections. We also found TLR9 rs187084 C to be associated with more favorable risk, and RLR-1 rs9695310 GG with higher age at diagnosis. In conclusion, the current study showed that SNPs in the genes encoding TLRs, NLRs, and RLRs may be potential biomarkers in patients with AML.

Use of Venetoclax in Patients with Relapsed or Refractory Acute Myeloid Leukemia: The PETHEMA Registry Experience

Simple Summary

The use of venetoclax combined with hypomethylating agents or low-dose cytarabine in patients with newly diagnosed acute myeloid leukemia unfit for intensive chemotherapy was recently approved. However, the evidence in relapse or refractory patients is still scarce. The cohort of patients included in our study was heavily pretreated and had a poor performance status. It is still necessary to identify those patients at higher risk of early death who would not benefit from this type of treatment. For these ultra-high-risk patients, other treatment strategies should be followed.

Abstract

The effectiveness of venetoclax (VEN) in relapsed or refractory acute myeloid leukemia (RR-AML) has not been well established. This retrospective, multicenter, observational database studied the effectiveness of VEN in a cohort of 51 RR-AML patients and evaluated for predictors of response and overall survival (OS). The median age was 68 years, most were at high risk, 61% received ≥2 therapies for AML, 49% had received hypomethylating agents, and ECOG was ≥2 in 52%. Complete remission (CR) rate, including CR with incomplete hematological recovery (CRi), was 12.4%. Additionally, 10.4% experienced partial response (PR). The CR/CRi was higher in combination with azacitidine (AZA; 17.9%) than with decitabine (DEC; 6.7%) and low-dose cytarabine (LDAC; 0%). Mutated NPM1 was associated with increased CR/CRi. Median OS was 104 days (95% CI: 56–151). For the combination with AZA, DEC, and LDAC, median OS was 120 days, 104 days, and 69 days, respectively; p = 0.875. Treatment response and ECOG 0 influenced OS in a multivariate model. A total of 28% of patients required interruption of VEN because of toxicity. Our real-life series describes a marginal probability of CR/CRi and poor OS after VEN-based salvage. Patients included had very poor-risk features and were heavily pretreated. The small percentage of responders did not reach the median OS.

First report from a single center retrospective study in Kazakhstan on acute myeloid leukemia treatment outcomes

Acute myeloid leukemia (AML) is the most common hematological malignancy in adults. In the last decade, internationally approved AML treatment guidelines, including hematopoietic stem cell transplantation are widely used in Kazakhstan. The categorization of acute myeloid leukemia was done according to the French-American British classification. The prognosis of patients at the time of diagnosis was determined by cytogenetic tests following the guidelines of the European LeukemiaNet. The overall survival and event-free survival were analyzed using the Kaplan-Meier method, and hazard ratios were defined with Cox regression. In total, 398 patients with AML were treated in the National Research Oncology Center between 2010 and 2020. The mean age was 38.3 years. We found a correlation between ethnicity, cytogenetic group, white blood cell count, and treatment approaches with overall and event-free survival. There was a significantly longer OS in a cytogenetic group with a good prognosis compared with intermediate and poor prognosis. The median survival time in the group with a good prognosis was 43 months, 23 months in the intermediate group (p = 0.7), and 12 months in the poor prognosis group (p = 0.016). There was a significantly longer OS for the group of patients who received hematopoietic stem cell transplantation (HSCT), 52 months versus 10 months in the group who received chemotherapy only, p-value < 0.0001. Prognostic factors, such as cytogenetic group, initial WBC count, and treatment approaches are significantly associated with patient survival. Our study data were consistent with the most recent studies, available in the literature adjusted for the population in question.

Indeterminate and oncogenic potential: CHIP vs CHOP mutations in AML with NPM1 alteration

In AML patients, recurrent mutations were shown to persist in remission, however, only some have a prognostic value and persistent mutations might therefore reflect a re-established premalignant state or truly active disease causing relapse. We aimed to dissect the nature of co-mutations in NPM1 mutated AML where the detection of NPM1 transcripts allows highly specific and sensitive detection of complete molecular remission (CMR). We analysed 150 consecutive patients who achieved CMR following intensive treatment by next generation sequencing on paired samples at diagnosis, CMR and relapse (38/150 patients). Patients with persistence or the acquisition of non-DTA (DNMT3A, TET2, ASXL1) mutations at CMR (23/150 patients, 15%) have a significantly worse prognosis (EFS HR = 2.7, p = 0.003; OS HR = 3.6, p = 0.012). Based on clonal evolution analysis of diagnostic, CMR and relapse samples, we redefine pre-malignant mutations and include IDH1, IDH2 and SRSF2 with the DTA genes in this newly defined group. Only the persistence or acquisition of CHOP-like (clonal hematopoiesis of oncogenic potential) mutations was significantly associated with an inferior outcome (EFS HR = 4.5, p = 0.0002; OS HR = 5.5, p = 0.002). Moreover, the detection of CHOP-like mutations at relapse was detrimental (HR = 4.5, p = 0.01). We confirmed these findings in a second independent whole genome sequencing cohort.

Survival prognostic factors in patients with acute myeloid leukemia using machine learning techniques

This paper identifies prognosis factors for survival in patients with acute myeloid leukemia (AML) using machine learning techniques. We have integrated machine learning with feature selection methods and have compared their performances to identify the most suitable factors in assessing the survival of AML patients. Here, six data mining algorithms including Decision Tree, Random Forrest, Logistic Regression, Naive Bayes, W-Bayes Net, and Gradient Boosted Tree (GBT) are employed for the detection model and implemented using the common data mining tool RapidMiner and open-source R package. To improve the predictive ability of our model, a set of features were selected by employing multiple feature selection methods. The accuracy of classification was obtained using 10-fold cross-validation for the various combinations of the feature selection methods and machine learning algorithms. The performance of the models was assessed by various measurement indexes including accuracy, kappa, sensitivity, specificity, positive predictive value, negative predictive value, and area under the ROC curve (AUC). Our results showed that GBT with an accuracy of 85.17%, AUC of 0.930, and the feature selection via the Relief algorithm has the best performance in predicting the survival rate of AML patients.

Prognostic effect of gender on outcome of treatment for adults with acute myeloid leukaemia

There are conflicting reports in the literature suggesting that one gender or the other has a better survival with acute myeloid leukaemia (AML). The present study was done in an attempt to resolve the issue. The effect of gender was examined on 3546 newly diagnosed patients with AML, including 548 patients with acute promyelocytic leukaemia (APL) enrolled in 10 multi-institutional treatment studies from March 1984 to November 2008. Kaplan-Meier estimates were used to estimate event-time distributions for survival and multivariate models were used to examine the gender effect after adjusting for multiple risk factors. P values were based on two-sided tests. Non-APL female patients had a significantly better overall (OS) but not disease-free survival (DFS) than males, irrespective of age, initial white blood cell count, or dose of daunorubicin. No differences were observed for obese or FMS-like tyrosine kinase 3-internal tandem duplication (FLT3-ITD)-positive patients. Female patients with APL had a significantly better OS and DFS than male patients with APL, and differences in survival were greater for patients with t(15;17) + other cytogenetic abnormalities compared with those with t(15;17) only. Gender is an independent prognostic variable in patients with AML. Whether these survival differences are due to hormonal, genetic or pharmacokinetic differences between the sexes or differential toxin exposure such as smoking is unknown. However, the former seems less likely as patient age did not influence the survival advantage for female patients.

Validation and refinement of the revised 2017 European LeukemiaNet genetic risk stratification of acute myeloid leukemia

The revised 2017 European LeukemiaNet (ELN) recommendations for genetic risk stratification of acute myeloid leukemia have been widely adopted, but have not yet been validated in large cohorts of AML patients. We studied 1116 newly diagnosed AML patients (age range, 18–86 years) who had received induction chemotherapy. Among 771 patients not selected by genetics, the ELN-2017 classification re-assigned 26.5% of patients into a more favorable or, more commonly, a more adverse-risk group compared with the ELN-2010 recommendations. Forty percent of the cohort, and 51% of patients ≥60 years, were classified as adverse-risk by ELN-2017. In 599 patients <60 years, estimated 5-year overall survival (OS) was 64% for ELN-2017 favorable, 42% for intermediate-risk and 20% for adverse-risk patients. Among 517 patients aged ≥60 years, corresponding 5-year OS rates were 37, 16, and 6%. Patients with biallelic CEBPA mutations or inv(16) had particularly favorable outcomes, while patients with mutated TP53 and a complex karyotype had especially poor prognosis. DNMT3A mutations associated with inferior OS within each ELN-2017 risk group. Our results validate the prognostic significance of the revised ELN-2017 risk classification in AML patients receiving induction chemotherapy across a broad age range. Further refinement of the ELN-2017 risk classification is possible.

Efficacy and Safety of Metronomic Chemotherapy Versus Palliative Hydroxyurea in Unfit Acute Myeloid Leukemia Patients: A Multicenter, Open-Label Randomized Controlled Trial

Background:

Management of unfit AML patients is a therapeutic challenge. Most hematologists tend to avoid aggressive treatment leaving patients with a choice of best supportive care. We hypothesized that metronomic chemotherapy could be an alternative treatment for unfit AML patients.

Methods:

A multi-center randomized controlled trial was conducted in seven university-affiliated hospitals in Thailand. Unfit AML patients were recruited and followed up from December 2014 to December 2017. Patients were randomly assigned to receive either metronomic chemotherapy or palliative hydroxyurea. Overall survival rates were compared using Cox’s proportional hazard survival analysis.

Results:

A total of 81 eligible patients were randomly allocated and included for ITT analysis. The OS rate was higher in group receiving metronomic chemotherapy than in group receiving palliative treatment at 6 and 12 months with borderline significance (6 months HR 0.60; 95%CI 0.36, 1.02; p-value 0.060; 12 months: HR 0.66; 95%CI 0.41, 1.08; p-value 0.097).

Conclusion:

Metronomic chemotherapy could prolong survival time of unfit AML patients, especially in the first 12 months after diagnosis without increasing treatment-associated adverse events.

An Overview on G Protein-coupled Receptor-induced Signal Transduction in Acute Myeloid Leukemia

BACKGROUND

Acute Myeloid Leukemia (AML) is a genetically heterogeneous disease characterized by uncontrolled proliferation of precursor myeloid-lineage cells in the bone marrow. AML is also characterized by patients with poor long-term survival outcomes due to relapse. Many efforts have been made to understand the biological heterogeneity of AML and the challenges to develop new therapies are therefore enormous. G Protein-coupled Receptors (GPCRs) are a large attractive drug-targeted family of transmembrane proteins, and aberrant GPCR expression and GPCR-mediated signaling have been implicated in leukemogenesis of AML. This review aims to identify the molecular players of GPCR signaling, focusing on the hematopoietic system, which are involved in AML to help developing novel drug targets and therapeutic strategies.

METHODS

We undertook an exhaustive and structured search of bibliographic databases for research focusing on GPCR, GPCR signaling and expression in AML.

RESULTS AND CONCLUSION

Many scientific reports were found with compelling evidence for the involvement of aberrant GPCR expression and perturbed GPCR-mediated signaling in the development of AML. The comprehensive analysis of GPCR in AML provides potential clinical biomarkers for prognostication, disease monitoring and therapeutic guidance. It will also help to provide marker panels for monitoring in AML. We conclude that GPCR-mediated signaling is contributing to leukemogenesis of AML, and postulate that mass spectrometrybased protein profiling of primary AML cells will accelerate the discovery of potential GPCR related biomarkers for AML.

Risk assessment of FLT3 and PAX5 variants in B-acute lymphoblastic leukemia: a case-control study in a Pakistani cohort

AIMS

B-cell acute lymphoblastic leukemia (B-ALL) is amongst the most prevalent cancers of children in Pakistan. Genetic variations in FLT3 are associated with auto-phosphorylation of kinase domain that leads to increased proliferation of blast cells. Paired box family of transcription factor (PAX5) plays a critical role in commitment and differentiation of B-cells. Variations in PAX5 are associated with the risk of B-ALL. We aimed to analyze the association of FLT3 and PAX5 polymorphisms with B cell leukemia in Pakistani cohort.

METHODS

We collected 155 B-ALL subject and 155 control blood samples. For analysis, genotyping was done by tetra ARMS-PCR. SPSS was used to check the association of demographic factors of SNPs present in the population with the risk of B-ALL.

RESULTS

Risk allele frequency A at locus 13q12.2 (rs35958982, FLT3) was conspicuous and showed positive association (OR = 2.30, CI [1.20–4.50], P = 0.005) but genotype frequency (OR = 3.67, CI [0.75–18.10], P = 0.088) failed to show any association with the disease. At locus 9p13.2 (rs3780135, PAX5), the risk allele frequency was significantly higher in B-ALL subjects than ancestral allele frequency (OR = 2.17, CI [1.37–3.43], P = 0.000). Genotype frequency analysis of rs3780135 polymorphism exhibited the protective effect (OR = 0.55, CI [0.72–1.83], P = 0.029). At locus 13q12.2 (rs12430881, FLT3), the minor allele frequency G (OR = 1.15, CI [1.37–3.43], P = 0.043) and genotype frequency (OR = 2.52, P = 0.006) reached significance as showed p < 0.05.

CONCLUSION

In the present study, a strong risk of B-cell acute lymphoblastic leukemia was associated with rs35958982 and rs12430881 polymorphisms. However, rs3780135 polymorphism showed the protective effect. Additionally, other demographic factors like family history, smoking and consanguinity were also found to be important in risk assessment. We anticipate that the information from genetic variations in this study can aid in therapeutic approach in the future.

The Epidemiological Trend of Acute Myeloid Leukemia in Childhood: a Population-Based Analysis

Acute myeloid leukemia (AML) is the fifth most common malignancy in children, and the prognosis for AML in children remains relatively poor. However, its incidence and survival trends based on a large sample size have not been reported.

Children diagnosed with AML between 1975 and 2014 were accessed from the Surveillance, Epidemiology, and End Results database. Incidence and survival trends were evaluated by age-adjusted incidence and relative survival rates (RSRs) and Kaplan-Meier analyses. Cox regression was performed to identify independent risk factors for child AML death.

The overall incidence of AML in childhood increased each decade between 1975 and 2014, with the total age-adjusted incidence increasing from 5.766 to 6.615 to 7.478 to 7.607 per 1,000,000 persons. In addition, the relative survival rates of AML in childhood improved significantly, with 5-year RSRs increasing from 22.40% to 39.60% to 55.50% to 68.30% over the past four decades (p < 0.0001). Furthermore, survival disparities among different races and socioeconomic statuses have continued to widen over the past four decades. Multivariate Cox regression analyses showed a higher risk of death in Black patients (HR = 1.245, 95% CI: 1.077-1.438, p = 0.003) with Whites as a reference.

These results may help predict future trends for AML in childhood, better design clinical trials by eliminating disparities, and ultimately improve clinical management and outcome.

Outcomes of Autologous Hematopoietic Cell Transplantation Compared With Chemotherapy Consolidation Alone for Non-High-Risk Acute Myeloid Leukemia in First Complete Remission in a Minority-Rich Inner-City Cohort With Limited Access to Allografts

INTRODUCTION

In the United States, autologous hematopoietic cell transplantation (autoHCT) has fallen out of favor over chemotherapy consolidation for non-high-risk acute myeloid leukemia (AML) when allogeneic hematopoietic cell transplantation (alloHCT) is unfeasible, which is common in racial minorities because of donor registry under-representation and socioeconomic challenges. We compared autoHCT consolidation outcomes with chemotherapy alone in a minority-rich cohort in the Bronx.

PATIENTS AND METHODS

We identified adults with favorable or intermediate cytogenetic risk AML in first complete remission after induction at Montefiore Medical Center from 1999 to 2015, and analyzed 81 patients who received consolidation with ≥2 cycles of chemotherapy, of whom 28 received autoHCT.

RESULTS

The cohort predominantly consisted of ethnic/racial minorities (69%). Age, sex, race, presenting white cell count, and cytogenetic risk were similar between groups. The autoHCT group had longer relapse-free (RFS; 43 vs. 11 months; P = .003) and overall (OS) survival (not reached vs. 36 months; P = .043). Adjusted multivariable analysis showed significant benefit of autoHCT over chemotherapy alone for RFS (hazard ratio [HR], 0.53; 95% confidence interval [CI], 0.37-0.75; P < .001) and OS (HR, 0.61; 95% CI, 0.40-0.95; P = .027).

CONCLUSION

In this inner-city non-high-risk AML cohort, autoHCT provided OS and RFS benefit compared with chemotherapy alone. AutoHCT might constitute a valuable option for ethnic/racial minorities affected by significant barriers to alloHCT, whereas integration of measurable residual disease can help select patients more likely to benefit.

Prognostic nomogram for adult patients with acute myeloid leukemia: A SEER database analysis

Acute myeloid leukemia (AML) is hematopoietic malignancy. This study was designed to develop an individualized prognostic nomogram to predict cancer-specific survival (CSS) and overall survival (OS) of AML.The clinical data of AML patients (n = 58,882) diagnosed from 1973 to 2014 were obtained from the Surveillance, Epidemiology, and End Results database. The patients were divided into training cohort (n = 29,441) and validation cohort (n = 29,441). The prognostic nomograms were designed with clinical variables selected by multivariate Cox regression model in training cohort. The concordance index (C-index), calibration curve, and receiver operating characteristic curve were used to assess the performance of the nomograms.The predictors in nomogram for CSS were AML subtypes, age, sex, region, marital status, and chemotherapy, whereas the predictors for OS were AML subtypes, age, sex, region, race, marital status, and chemotherapy. The C-indexes of the nomograms in internal validation for CSS and OS were 0.712 and 0.703, respectively, whereas the C-indexes in external validation for CSS and OS were 0.712 and 0.705, respectively. The area under the curve of receiver operating characteristic curves for CSS and OS were 0.799 (95% confidence interval: 0.792-0.806) and 0.809 (95% confidence interval: 0.803-0.816), respectively.The individualized prognostic nomogram could perform relatively accurate prediction of outcome in adult patients with AML.