Impact of Molecular and Cytogenetic Risk Stratification, Early Treatment Response, and Inflammatory Biomarkers on Survival in Intensively Treated Non-Acute Promyelocytic Leukemia Acute Myeloid Leukemia

Background: Acute myeloid leukemia (AML) is a clinically and molecular heterogeneous hematologic malignancy with highly variable treatment outcomes. The European Leukemia Net (ELN) 2022 classification integrates cytogenetic and molecular abnormalities to guide risk stratification and therapeutic decision making; however, real-world prognostic data from resource-limited settings remain limited. This study evaluated the impact of ELN 2022 molecular and cytogenetic risk stratification, early treatment response, and inflammatory biomarkers on remission and survival among intensively treated adults with non-acute promyelocytic leukemia (non-APL) AML. Methods: This retrospective single-center cohort study included 90 adults with newly diagnosed non-APL AML who received intensive induction chemotherapy. Patients were stratified according to the ELN 2022 classification into favorable (n = 10), intermediate (n = 67), and adverse (n = 13) risk groups. The primary outcomes were complete remission (CR), overall survival (OS), and event-free survival (EFS). Survival analyses were performed using the Kaplan–Meier method and Cox proportional hazards regression, while logistic regression was used to identify predictors of CR. Baseline inflammatory indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and Prognostic Nutritional Index (PNI), were evaluated as exploratory prognostic biomarkers. Results: CR was achieved in 53 patients (58.9%), whereas induction-related mortality occurred in 15 patients (16.7%). Median OS for the entire cohort was 3.0 months (interquartile range, 1.5–12.8 months). Day 28 induction response was the strongest independent predictor of OS (hazard ratio (HR), 4.81; 95% confidence interval (CI), 2.98–7.75; P < 0.001). Higher log-transformed NLR was independently associated with improved OS (HR, 0.56; 95% CI, 0.38–0.82; P = 0.003). Given the retrospective design, this NLR association should be regarded as an exploratory, hypothesis-generating observation rather than a confirmed protective effect. Although favorable-risk patients demonstrated longer median OS than intermediate- and adverse-risk patients (9.0, 3.0, and 2.0 months, respectively), differences among ELN risk groups were not statistically significant. Minimal residual disease negativity was achieved in 90.6% of patients who attained CR. Conclusions: In this real-world cohort of intensively treated adults with non-APL AML, day 28 induction response was the strongest independent predictor of survival. Although ELN 2022 risk stratification demonstrated clinically meaningful survival trends, it did not independently predict outcomes after multivariable adjustment, possibly reflecting the limited sample size and incomplete molecular profiling. Baseline NLR may provide complementary prognostic information and represent an inexpensive, readily available biomarker that merits further prospective validation. This association should be regarded as exploratory and may in part reflect unmeasured confounding by nutritional and immune status rather than a confirmed causal effect.

Authors

Institutions

Publication Details

Journal
World Journal of Oncology
Published
2026-11-11
DOI
https://doi.org/10.14740/wjon2856
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Impact of Molecular and Cytogenetic Risk Stratification, Early Treatment Response, and Inflammatory Biomarkers on Survival in Intensively Treated Non-Acute Promyelocytic Leukemia Acute Myeloid Leukemia

Fatma Elsayed, Mohamed Aleraky, Mohammad AbdElhameed Alwaseef, Neveen Shalaby et al.
World Journal of Oncology
Acute Myeloid Leukemia Research
article

Impact of Molecular and Cytogenetic Risk Stratification, Early Treatment Response, and Inflammatory Biomarkers on Survival in Intensively Treated Non-Acute Promyelocytic Leukemia Acute Myeloid Leukemia

Fatma Elsayed, Mohamed Aleraky, Mohammad AbdElhameed Alwaseef, Neveen Shalaby, Mona E Hashem, Soha Hamed Ammar, Ahmed Akef, Dina Ashraf Abdelhady, Mohamed Ibrahem, Loai Emam, Ghada Nabil Shahin, Esraa Adel Ahmed Ayad, Hend Hanafy Mahmoud Ismail, Mohammed H. Fouda, Ebtesam Elgezawy
article en

Abstract

Background: Acute myeloid leukemia (AML) is a clinically and molecular heterogeneous hematologic malignancy with highly variable treatment outcomes. The European Leukemia Net (ELN) 2022 classification integrates cytogenetic and molecular abnormalities to guide risk stratification and therapeutic decision making; however, real-world prognostic data from resource-limited settings remain limited. This study evaluated the impact of ELN 2022 molecular and cytogenetic risk stratification, early treatment response, and inflammatory biomarkers on remission and survival among intensively treated adults with non-acute promyelocytic leukemia (non-APL) AML. Methods: This retrospective single-center cohort study included 90 adults with newly diagnosed non-APL AML who received intensive induction chemotherapy. Patients were stratified according to the ELN 2022 classification into favorable (n = 10), intermediate (n = 67), and adverse (n = 13) risk groups. The primary outcomes were complete remission (CR), overall survival (OS), and event-free survival (EFS). Survival analyses were performed using the Kaplan–Meier method and Cox proportional hazards regression, while logistic regression was used to identify predictors of CR. Baseline inflammatory indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and Prognostic Nutritional Index (PNI), were evaluated as exploratory prognostic biomarkers. Results: CR was achieved in 53 patients (58.9%), whereas induction-related mortality occurred in 15 patients (16.7%). Median OS for the entire cohort was 3.0 months (interquartile range, 1.5–12.8 months). Day 28 induction response was the strongest independent predictor of OS (hazard ratio (HR), 4.81; 95% confidence interval (CI), 2.98–7.75; P < 0.001). Higher log-transformed NLR was independently associated with improved OS (HR, 0.56; 95% CI, 0.38–0.82; P = 0.003). Given the retrospective design, this NLR association should be regarded as an exploratory, hypothesis-generating observation rather than a confirmed protective effect. Although favorable-risk patients demonstrated longer median OS than intermediate- and adverse-risk patients (9.0, 3.0, and 2.0 months, respectively), differences among ELN risk groups were not statistically significant. Minimal residual disease negativity was achieved in 90.6% of patients who attained CR. Conclusions: In this real-world cohort of intensively treated adults with non-APL AML, day 28 induction response was the strongest independent predictor of survival. Although ELN 2022 risk stratification demonstrated clinically meaningful survival trends, it did not independently predict outcomes after multivariable adjustment, possibly reflecting the limited sample size and incomplete molecular profiling. Baseline NLR may provide complementary prognostic information and represent an inexpensive, readily available biomarker that merits further prospective validation. This association should be regarded as exploratory and may in part reflect unmeasured confounding by nutritional and immune status rather than a confirmed causal effect.

World Journal of OncologyVol. 17(6)
Ain Shams University (EG), Cairo University (EG), Mansoura University (EG), Al-Azhar University (EG), Zagazig University (EG), Tanta University (EG), Alexandria University (EG)
Acute Myeloid Leukemia Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon