Integrating clinical features with genetic factors enhances survival prediction for adults with acute myeloid leukemia

Immunotherapy-relevance of a candidate prognostic score for Acute Myeloid Leukemia

Background

Acute Myeloid Leukemia (AML) exhibits a wide array of phenotypic manifestations, progression patterns, and heterogeneous responses to immunotherapies, suggesting involvement of complex immunobiological mechanisms. This investigation aimed to develop an integrated prognostic model for AML by incorporating cancer driver genes, along with clinical and phenotypic characteristics of the disease, and to assess its implications for immunotherapy responsiveness.

Methods

Critical oncogenic driver genes linked to survival were identified by screening primary effector and corresponding gene pairs using data from The Cancer Genome Atlas (TCGA), through univariate Cox proportional hazard regression analysis. This was independently verified using dataset GSE37642. Primary effector genes were further refined using LASSO regression. Transcriptomic profiling was quantified using multivariate Cox regression, and the derived prognostic score was subsequently validated. Finally, a multivariate Cox regression model was developed, incorporating the transcriptomic score along with clinical parameters such as age, gender, and French-American-British (FAB) classification subtype. The 'Accurate Prediction Model of AML Overall Survival Score' (APMAO) was developed and subsequently validated. Investigations were conducted into functional pathway enrichment, alterations in the gene mutational landscape, and the extent of immune cell infiltration associated with varying APMAO scores. To further investigate the potential of APMAO scores as a predictive biomarker for responsiveness to cancer immunotherapy, we conducted a series of analyses. These included examining the expression profiles of genes related to immune checkpoints, the interferon-gamma signaling pathway, and m6A regulation. Additionally, we explored the relationship between these gene expression patterns and the Tumor Immune Dysfunction and Exclusion (TIDE) dysfunction scores.

Results

Through the screening of 95 cancer genes associated with survival and 313 interacting gene pairs, seven genes (ACSL6, MAP3K1, CHIC2, HIP1, PTPN6, TFEB, and DAXX) were identified, leading to the derivation of a transcriptional score. Age and the transcriptional score were significant predictors in Cox regression analysis and were integral to the development of the final APMAO model, which exhibited an AUC greater than 0.75 and was successfully validated. Notable differences were observed in the distribution of the transcriptional score, age, cytogenetic risk categories, and French-American-British (FAB) classification between high and low APMAO groups. Samples with high APMAO scores demonstrated significantly higher mutation rates and pathway enrichments in NFKB, TNF, JAK-STAT, and NOTCH signaling. Additionally, variations in immune cell infiltration and immune checkpoint expression, activation of the interferon-γ pathway, and expression of m6A regulators were noted, including a negative correlation between CD160, m6A expression, and APMAO scores.

Conclusion

The combined APMAO score integrating transcriptional and clinical parameters demonstrated robust prognostic performance in predicting AML survival outcomes. It was linked to unique phenotypic characteristics, distinctive immune and mutational profiles, and patterns of expression for markers related to immunotherapy sensitivity. These observations suggest the potential for facilitating precision immunotherapy and advocate for its exploration in upcoming clinical trials.

Assessing the impact of prophylactic anidulafungin during remission induction of acute myeloid leukemia - A propensity-score matching analysis

INTRODUCTION

Invasive fungal infection (IFI) accounts for substantial morbidity during the treatment of acute myeloid leukemia (AML) in adults. Antifungal prophylaxis (AP) is needed during intensive chemotherapy, and posaconazole is not widely available. In this study, we aimed to examine the impact of prophylactic anidulafungin during intensive AML remission induction.

METHODS

This is a retrospective cohort encompassing newly diagnosed AML adult patients. All subjects received intensive chemotherapy and were divided into three groups: patients who did not receive any AP and patients who received fluconazole (150-400 mg/day) or anidulafungin (100 mg/day).

RESULTS

During AML induction, 82 patients did not receive AP, 108 and 14 patients received anidulafungin and fluconazole, respectively. IFI incidence was 27%, classified as possible, probable, and proven in 65, 2 and 33%, respectively. Multivariable analysis showed that lower neutrophil counts are associated with IFI (OR = 2.8), whereas age, genetic classification, and lymphocyte counts were not. To examine the impact of anidulafungin in comparison with 'no AP', a propensity score matching analysis was performed. Use of anidulafungin was not related to less IFI during induction, while neutrophil counts remained significant. Patients under prophylactic anidulafungin received less amphotericin B (p < 0.001) but not voriconazole (p = 0.49).

DISCUSSION

To our knowledge, this is the first study addressing the role of anidulafungin during AML induction. Here, the incidence of mold infections did not decrease with AP, suggesting that in a setting with a high incidence of IFI, broad spectrum AP might be more suitable.

Effective Prognostic Model for Therapy Response Prediction in Acute Myeloid Leukemia Patients

Acute myeloid leukemia (AML) is a hematopoietic disorder characterized by the malignant transformation of bone marrow-derived myeloid progenitor cells with extremely short survival. To select the optimal treatment options and predict the response to therapy, the stratification of AML patients into risk groups based on genetic factors along with clinical characteristics is carried out. Despite this thorough approach, the therapy response and disease outcome for a particular patient with AML depends on several patient- and tumor-associated factors. Among these, tumor cell resistance to chemotherapeutic agents represents one of the main obstacles for improving survival outcomes in AML patients. In our study, a new prognostic scale for the risk stratification of AML patients based on the detection of the sensitivity or resistance of tumor cells to chemotherapeutic drugs in vitro as well as MDR1 mRNA/P-glycoprotein expression, tumor origin (primary or secondary), cytogenetic abnormalities, and aberrant immunophenotype was developed. This study included 53 patients diagnosed with AML. Patients who received intensive or non-intensive induction therapy were analyzed separately. Using correlation, ROC, and Cox regression analyses, we show that the risk stratification of AML patients in accordance with the developed prognostic scale correlates well with the response to therapy and represents an independent predictive factor for the overall survival of patients with newly diagnosed AML.

Health-Related Quality of Life as Assessed by the EQ-5D-5L Predicts Outcomes of Patients Treated with Azacitidine-A Prospective Cohort Study by the AGMT

In this prospective study (NCT01595295), 272 patients treated with azacitidine completed 1456 EuroQol 5-Dimension (EQ-5D) questionnaires. Linear mixed-effect modelling was used to incorporate longitudinal data. When compared with a matched reference population, myeloid patients reported more pronounced restrictions in usual activities (+28%, p < 0.0001), anxiety/depression (+21%, p < 0.0001), selfcare (+18%, p < 0.0001) and mobility (+15%, p < 0.0001), as well as lower mean EQ-5D-5L indices (0.81 vs. 0.88, p < 0.0001), and lower self-rated health on the EuroQol Visual Analogue Scale (EQ-VAS) (64 vs. 72%, p < 0.0001). After multivariate-adjustment, (i) the EQ-5D-5L index assessed at azacitidine start the predicted time with clinical benefit (TCB) (9.6 vs. 6.6 months; p = 0.0258; HR = 1.43), time to next treatment (TTNT) (12.8 vs. 9.8 months; p = 0.0332; HR = 1.42) and overall survival (OS) (17.9 vs. 12.9 months; p = 0.0143; HR = 1.52); (ii) Level Sum Score (LSS) predicted azacitidine response (p = 0.0160; OR = 0.451) and the EQ-5D-5L index showed a trend (p = 0.0627; OR = 0.522); (iii) up to 1432 longitudinally assessed EQ-5D-5L response/clinical parameter pairs revealed significant associations of EQ-5D-5L response parameters with haemoglobin level, transfusion dependence and hematologic improvement. Significant increases of the likelihood ratios were observed after addition of LSS, EQ-VAS or EQ-5D-5L-index to the International Prognostic Scoring System (IPSS) or the revised IPSS (R-IPSS), indicating that they provide added value to these scores.

In utero origin of myelofibrosis presenting in adult monozygotic twins

The latency between acquisition of an initiating somatic driver mutation by a single-cell and clinical presentation with cancer is largely unknown. We describe a remarkable case of monozygotic twins presenting with CALR mutation-positive myeloproliferative neoplasms (MPNs) (aged 37 and 38 years), with a clinical phenotype of primary myelofibrosis. The CALR mutation was absent in T cells and dermal fibroblasts, confirming somatic acquisition. Whole-genome sequencing lineage tracing revealed a common clonal origin of the CALR-mutant MPN clone, which occurred in utero followed by twin-to-twin transplacental transmission and subsequent similar disease latency. Index sorting and single-colony genotyping revealed phenotypic hematopoietic stem cells (HSCs) as the likely MPN-propagating cell. Furthermore, neonatal blood spot analysis confirmed in utero origin of the JAK2V617F mutation in a patient presenting with polycythemia vera (aged 34 years). These findings provide a unique window into the prolonged evolutionary dynamics of MPNs and fitness advantage exerted by MPN-associated driver mutations in HSCs.

Predictive factors associated with induction-related death in acute myeloid leukemia in a resource-constrained setting

Despite advances in supportive measures, acute myeloid leukemia (AML) remission induction still has a high mortality rate in real-world studies as compared to prospective reports. We analyzed data from 206 AML adult patients treated with conventional chemotherapy. The primary endpoint was the 60-day mortality rate, aiming to find risk factors and to examine the role of anti-infection prophylaxis. The 60-day mortality rate was 26%, raising to 41% among those older than 60 years. Complete response was documented at the end of induction in 49%. The final survival model showed that age > 60 years (HR 3.2), Gram-negative colonization (HR 3), monocytic AML (HR 1.8), C-reactive protein (CRP) > 15 mg/dL (HR 10), and an adverse risk in the genetic stratification (HR 3) were associated with induction death. Multidrug-resistant bacteria colonization, thrombosis, and AKI were documented in 71%, 12%, and 66% of the cohort, respectively. Antibacterial and antifungal prophylaxis did not improve outcomes in this study. Our report corroborated the higher mortality during AML induction compared to real-world data from the USA and Europe. In line with other publications, age and cytogenetic stratification influenced early death in this cohort. Noticeably, Gram-negative colonization, monocytic AML, and CRP were also significant to early mortality.

A systematic review of modeling and simulation approaches in designing targeted treatment technologies for Leukemia Cancer in low and middle income countries

Virtual experimentation is a widely used approach for predicting systems behaviour especially in situations where resources for physical experiments are very limited. For example, targeted treatment inside the human body is particularly challenging, and as such, modeling and simulation is utilised to aid planning before a specific treatment is administered. In such approaches, precise treatment, as it is the case in radiotherapy, is used to administer a maximum dose to the infected regions while minimizing the effect on normal tissue. Complicated cancers such as leukemia present even greater challenges due to their presentation in liquid form and not being localised in one area. As such, science has led to the development of targeted drug delivery, where the infected cells can be specifically targeted anywhere in the body. Despite the great prospects and advances of these modeling and simulation tools in the design and delivery of targeted drugs, their use by Low and Middle Income Countries (LMICs) researchers and clinicians is still very limited. This paper therefore reviews the modeling and simulation approaches for leukemia treatment using nanoparticles as an example for virtual experimentation. A systematic review from various databases was carried out for studies that involved cancer treatment approaches through modeling and simulation with emphasis to data collected from LMICs. Results indicated that whereas there is an increasing trend in the use of modeling and simulation approaches, their uptake in LMICs is still limited. According to the review data collected, there is a clear need to employ these tools as key approaches for the planning of targeted drug treatment approaches.

Hypoalbuminemia as a prognostic biomarker for higher mortality and treatment complications in acute myeloid leukemia

Older age and poor performance status lead to worse outcomes in acute myeloid leukemia (AML) patients. Hypoalbuminemia is a negative predictor of morbidity and mortality in several malignancies. We evaluated the relationship between baseline serum albumin levels on treatment-related complications, as well as short-term mortality and overall survival (OS) in 756 newly diagnosed AML patients. We conducted a retrospective multicenter study to examine treatment-related complications and OS according to pretreatment serum albumin levels: normal albumin ≥3.5 g/dl, marked hypoalbuminemia <2.5 g/dl, and hypoalbuminemia 2.5-3.4 g/dl. In an adjusted multivariate analysis, a lower baseline albumin was independently associated with a higher number of grade ≥3 complications when adjusting for age, secondary AML, sex and intensive treatment. When comparing normal to markedly low albumin levels, the estimated mean number of complications increases by a factor of 1.35. Patients who had a normal baseline albumin had a 30 day-mortality rate of 4.8%, which was significantly lower compared with patients with hypoalbuminemia (16.5%) and marked hypoalbuminemia (33.9%; p < 0.01). Similarly, 60-day mortality rate was significantly higher in the hypoalbuminemia group (24.0%) and marked hypoalbuminemia group (45%) compared with normal albumin group (8.3%; p < 0.01). Patients with lower baseline albumin levels have increased treatment-related morbidity and mortality, suggesting that pre-treatment serum albumin is an important independent prognostic marker.

Drug responsiveness of leukemic cells detected in vitro at diagnosis correlates with therapy response and survival in patients with acute myeloid leukemia

BACKGROUND

Acute myeloid leukemia (AML) is the most common acute leukemia in adults, and chemotherapy remains the most commonly used treatment approach for this group of hematological disorders. Drug resistance is one of the predictors of unfavorable prognosis for leukemia patients.

AIM

The purpose of this study was to perform a retrospective analysis of the survival rate in AML patients according to age, tumor status, and chemotherapy regimen received and to analyze the therapy response of AML patients depending on the treatment received, initial responsiveness of tumor cells to chemotherapeutic drugs measured in vitro at diagnosis and expression of immunological markers.

METHODS

The survival of AML patients (n = 127) was analyzed using the Kaplan-Meier method. Drug sensitivity of tumor cells of AML patients (n = 37) and the expression of immunological markers were evaluated by the WST test and flow cytometry, respectively. Correlation analysis was performed using Spearman's rank order correlation coefficient.

RESULTS

We found the treatment regimen to be the defining factor in the patient survival rate. In addition, the initial responsiveness of tumor cells to chemotherapeutic drugs measured in vitro at diagnosis correlated with the therapy response of AML: patients with high tumor cell sensitivity to particular cytotoxic drugs demonstrated a good response to treatment including these drugs, and patients with initial resistance of tumor cells to a particular chemotherapeutic agents and received it according to the clinical protocols demonstrated a poor response to antitumor therapy. Correlations of drug resistance in leukemic cells with the expression of immature and aberrant immunophenotype markers as established unfavorable prognostic factors confirm our assumption.

CONCLUSION

The evaluation of the responsiveness of tumor cells to chemotherapy in vitro at diagnosis can be a useful tool for predicting the response of leukemia patients to planned chemotherapy.

Molecular-Based Score inspired on metabolic signature improves prognostic stratification for myelodysplastic syndrome

Deregulated cellular energetics is formally incorporated as an emerging hallmark of cancer, however little is known about its processes in myelodysplastic syndromes (MDS). Using transcriptomic data of CD34+ cells from 159 MDS patients and 17 healthy donors, we selected 37 genes involved in cellular energetics and interrogated about its clinical and prognostic functions. Based on the low expression of ACLY, ANPEP, and PANK1, as well as high expression of PKM and SLC25A5, we constructed our Molecular-Based Score (MBS), that efficiently discriminated patients at three risks groups: favourable risk (n = 28; 3-year overall survival (OS): 100%); intermediate (n = 60; 76% [62-93%]) and adverse (n = 71; 35% [17-61%]). Adverse MBS risk was independently associated with inferior OS (HR = 10.1 [95% CI 1.26-81]; P = 0.029) in multivariable analysis using age, gender and the revised international prognostic score system as confounders. Transcriptional signature revealed that Favourable- and intermediate-risk patients presented enriched molecular programs related to mature myeloid progenitors, cell cycle progression, and oxidative phosphorylation, indicating that this cells differs in their origin, metabolic state, and cell cycle regulation, in comparison to the adverse-risk. Our study provides the first evidence that cellular energetics is transcriptionally deregulated in MDS CD34+ cells and establishes a new useful prognostic score based on the expression of five genes.