Prognostic significance of inflammatory cytokine polymorphisms in AML: a study of IFNG, TNFA, and IL1B polymorphisms

BACKGROUND: Inflammatory cytokines influence the pathogenesis and progression of acute myeloid leukaemia (AML), not only by shaping the leukemic microenvironment, but also by supporting leukaemia stem cell survival and resistance to therapy. We, therefore, investigated the associations between the cytokine polymorphisms IFNG+874 A/T, TNFA-857 C/T, and IL1B -31 C/T and AML outcomes, as well as their influence on clinical features. RESULTS: Ninety-three patients with AML and 117 healthy controls were analysed. The T allele of TNFA - 857 C/T (i.e., the high-expression allele) was observed at a significantly higher frequency in the patients with AML vs. the controls (AML vs. control = 24.7% vs. 16.2%, p = 0.04). Patients with the high-expression TT genotype had shorter overall survival (TT vs. CC = 46.0 vs. 224.1 months, p < 0.001). Patients with the high-expression non-CC genotype relapsed more frequently than those with the low-expression CC genotype (relapse vs. non-relapse = 55.8% vs. 26.9%, p = 0.01). No significant associations were observed for the IFNG + 874 A/T and IL1B -31 C/T polymorphism. CONCLUSION: TNFA - 857 C/T polymorphisms can influence patient susceptibility to AML, as well as its prognosis. This suggests a link between chronic inflammation and leukemogenesis, as well as the potential value of TNFA genotyping in risk assessments.

Authors

Institutions

Publication Details

Journal
BMC Immunology
Published
2026-05-02
DOI
https://doi.org/10.1186/s12865-026-00837-5
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
article

Prognostic significance of inflammatory cytokine polymorphisms in AML: a study of IFNG, TNFA, and IL1B polymorphisms

Tsukasa Oda, Takafumi Okawa, Nanami Gotoh, Yoshiyuki Ogawa et al.
BMC Immunology
Acute Myeloid Leukemia Research
article

Prognostic significance of inflammatory cytokine polymorphisms in AML: a study of IFNG, TNFA, and IL1B polymorphisms

Tsukasa Oda, Takafumi Okawa, Nanami Gotoh, Yoshiyuki Ogawa, Ikuko Matsumura, Nobuhiko Kobayashi, Akira Matsumoto, Tsatsralgerel Munkh-Erdene, Eiji Miyauchi, Yuri Miyazawa, Hisashi Takei, Asumi Kojima, Nobuo Sasaki, Miri Kitamura, Takayuki Saitoh, Hiroshi Handa
article en

Abstract

BACKGROUND: Inflammatory cytokines influence the pathogenesis and progression of acute myeloid leukaemia (AML), not only by shaping the leukemic microenvironment, but also by supporting leukaemia stem cell survival and resistance to therapy. We, therefore, investigated the associations between the cytokine polymorphisms IFNG+874 A/T, TNFA-857 C/T, and IL1B -31 C/T and AML outcomes, as well as their influence on clinical features. RESULTS: Ninety-three patients with AML and 117 healthy controls were analysed. The T allele of TNFA - 857 C/T (i.e., the high-expression allele) was observed at a significantly higher frequency in the patients with AML vs. the controls (AML vs. control = 24.7% vs. 16.2%, p = 0.04). Patients with the high-expression TT genotype had shorter overall survival (TT vs. CC = 46.0 vs. 224.1 months, p < 0.001). Patients with the high-expression non-CC genotype relapsed more frequently than those with the low-expression CC genotype (relapse vs. non-relapse = 55.8% vs. 26.9%, p = 0.01). No significant associations were observed for the IFNG + 874 A/T and IL1B -31 C/T polymorphism. CONCLUSION: TNFA - 857 C/T polymorphisms can influence patient susceptibility to AML, as well as its prognosis. This suggests a link between chronic inflammation and leukemogenesis, as well as the potential value of TNFA genotyping in risk assessments.

BMC Immunology
Gunma University (JP), Gunma University Hospital (JP)
Good health and well-being
Openalex Percentile: Top 10%
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.