In this issue of Blood, De Kesel et al reveal widespread alterations in N6-methyladenosine (m6A) RNA methylation in T-cell acute lymphoblastic leukemia (T-ALL), identifying heterogeneous nuclear ribonucleoprotein C (HNRNPC) and fat mass and obesity-associated protein (FTO) as putative therapeutic targets.1 

T-ALL is an aggressive hematologic malignancy with limited treatment options upon relapse. Although the transcriptional and genomic landscapes of T-ALL are well described, posttranscriptional mechanisms, particularly RNA modifications, have remained poorly understood. Among these, m6A is the most abundant internal RNA modification in eukaryotic mRNA, regulating RNA stability, splicing, and translation in a context-dependent manner. The m6A machinery is composed of methyltransferases (“writers” such as METTL3 and METTL14), demethylases (“erasers” like FTO and ALKBH5), and m6A-binding proteins (“readers”), which include both the classical YTH domain family proteins (YTHDC1/2, YTHDF1-3) and nonclassical readers such as IGF2BP1-3 and HNRNPs, including HNRNPC, HNRNPG, and HNRNPA2B1.2 

Although m6A dysregulation has been established in acute myeloid leukemia (AML), its role in T-ALL has remained underexplored.3,4 De Kesel et al address this gap using a comprehensive, multiomics approach, integrating RNA sequencing (RNA-seq), m6A-enhanced cross linking immunoprecipitation (eCLIP), proteomics, and ribosome profiling across patient-derived models and cell lines. They report widespread remodeling of the m6A landscape in T-ALL, including a global reduction in significant m6A peaks, with a balanced distribution of hypo- and hypermethylated transcripts. Notably, key oncogenic pathways, particularly MYC targets and cholesterol biosynthesis-related transcripts, were selectively hypermethylated eCLIP suggesting that site-specific, rather than global, m6A changes may underlie leukemogenic programs. Correlative analyses across the RNA methylome, transcriptome, and proteome further underscore the biological significance of these m6A alterations.

To elucidate the functional role of specific m6A readers in T-ALL, the authors mined CRISPR screening data sets and DepMap dependency scores. HNRNPC emerged as a critical dependency. Previously described as an “m6A switch” reader that binds U-rich regions structurally modulated by nearby m6A marks,5 HNRNPC was found to be upregulated in T-ALL. It directly binds methylated transcripts including MYC, HMGCS1, and FDFT1, and its silencing suppressed translation of MYC and metabolic genes, leading to reduced leukemic growth and survival. HNRNPC preferentially bound hypermethylated transcripts, reinforcing its m6A-dependent activity. Importantly, not all HNRNPC binding sites overlapped with m6A-eCLIP peaks, hinting at possible m6A-independent functions in T-ALL.

Strikingly, the role of METTL3 in T-ALL diverged from its function in AML.4 Inhibition or knockdown of METTL3 in T-ALL paradoxically increased m6A abundance at MYC and cholesterol-related transcripts, alongside elevated MYC expression and cholesterol biosynthesis, despite a global reduction in m6A levels. These context-specific effects underscore the transcript-specific, and potentially reader-restricted, consequences of m6A regulation and suggest compensatory feedback mechanisms distinct from AML (see figure).

The m6A epitranscriptomic landscape in T-ALL and therapeutic implications of targeting HNRNPC and FTO. m6A is regulated by “writers” (METTL3/14, WTAP, VIRMA, RBM15, HAKAI) and “erasers” (FTO, ALKBH5). In T-ALL, global m6A is reduced, but MYC and cholesterol-related transcripts are hypermethylated and recognized by HNRNPC, enhancing their translation and promoting leukemia. METTL3 inhibition paradoxically increases m6A and expression of MYC and cholesterol metabolism despite reduced global m6A. In contrast, FTO inhibition lowers MYC and metabolic gene expression. FTO inhibition or HNRNPC loss impairs cholesterol metabolism, reduces MYC, and decreases leukemic proliferation and survival, ultimately lowering T-ALL burden.

The m6A epitranscriptomic landscape in T-ALL and therapeutic implications of targeting HNRNPC and FTO. m6A is regulated by “writers” (METTL3/14, WTAP, VIRMA, RBM15, HAKAI) and “erasers” (FTO, ALKBH5). In T-ALL, global m6A is reduced, but MYC and cholesterol-related transcripts are hypermethylated and recognized by HNRNPC, enhancing their translation and promoting leukemia. METTL3 inhibition paradoxically increases m6A and expression of MYC and cholesterol metabolism despite reduced global m6A. In contrast, FTO inhibition lowers MYC and metabolic gene expression. FTO inhibition or HNRNPC loss impairs cholesterol metabolism, reduces MYC, and decreases leukemic proliferation and survival, ultimately lowering T-ALL burden.

Close modal

In parallel, the m6A demethylase FTO was found to be more highly expressed in T-ALL than in normal thymocytes or AML. Pharmacologic inhibition of FTO using bisantrene6 or brequinar7 significantly suppressed MYC expression, cholesterol metabolism, and leukemic burden in vitro and in vivo. FTO inhibitors also synergized with dexamethasone and standard chemotherapies, reinforcing their translational potential. These findings align with prior studies in AML but suggest heightened relevance in T-ALL. However, FTO demethylates additional RNA modifications, including m6Am and m1A,8 and its genetic silencing yielded more modest effects than pharmacologic inhibition, raising the possibility of broader mechanisms, including inhibition of topoisomerase II and DHODH and previously linked mode of action of these compounds.9 

In conclusion, De Kesel et al provide a foundational framework for understanding the m6A epitranscriptome in T-ALL. Their findings identify HNRNPC as a novel oncogenic m6A regulator and reinforce the therapeutic potential of targeting RNA methylation programs in T-ALL. The study unveils a complex regulatory axis involving m6A, MYC, and metabolic pathways, expanding the landscape of therapeutic targets beyond DNA and chromatin to include RNA-level control of gene expression.

The lineage- and transcript-specific effects of METTL3 underscore the nuanced and context-dependent roles of m6A. Future studies should dissect site-specific methylation kinetics; explore feedback loops between MYC signaling, m6A dynamics, and metabolism; and develop more selective small-molecule inhibitors or degraders of HNRNPC and FTO. Identifying predictive biomarkers of m6A dependence will be key to translating these insights into precision therapies. As with AML, it remains to be determined which T-ALL subtypes are particularly vulnerable to epitranscriptomic perturbation. Overall, this study enriches our understanding of m6A-associated vulnerabilities in T-ALL and strengthens the rationale for targeting RNA modifications in hematologic malignancies.

Conflict-of-interest disclosure: X.X. declares no competing financial interests. M.G.K. is a scientific advisory board member of 858 Therapeutics and received laboratory support from AstraZeneca, and consulting and laboratory support from Transition Bio.

1.
De Kesel
J
,
Fijalkowski
I
,
Pieters
T
, et al
.
HNRNPC and m6A RNA methylation control oncogenic transcription and metabolism in T-cell leukemia
.
Blood
.
2025
;
146
(
3
):
275
-
290
.
2.
Jiang
X
,
Liu
B
,
Nie
Z
, et al
.
The role of m6A modification in the biological functions and diseases
.
Signal Transduct Target Ther
.
2021
;
6
(
1
):
74
.
3.
Vu
LP
,
Pickering
BF
,
Cheng
YM
, et al
.
The N6-methyladenosine (m6A)-forming enzyme METTL3 controls myeloid differentiation of normal hematopoietic and leukemia cells
.
Nat Med
.
2017
;
23
(
11
):
1369
-
1376
.
4.
Barbieri
I
,
Tzelepis
K
,
Pandolfini
L
, et al
.
Promoter-bound METTL3 maintains myeloid leukaemia by m6A-dependent translation control
.
Nature
.
2017
;
552
(
7683
):
126
-
131
.
5.
Liu
N
,
Dai
Q
,
Zheng
G
,
He
C
,
Parisien
M
,
Pan
T
.
N(6)-methyladenosine-dependent RNA structural switches regulate RNA-protein interactions
.
Nature
.
2015
;
518
(
7540
):
560
-
564
.
6.
Spiegel
RJ
,
Blum
RH
,
Levin
M
, et al
.
Phase I clinical trial of 9,10-anthracene dicarboxaldehyde (Bisantrene) administered in a five-day schedule
.
Cancer Res
.
1982
;
42
(
1
):
354
-
358
.
7.
de Forni
M
,
Chabot
GG
,
Armand
JP
, et al
.
Phase I and pharmacokinetic study of brequinar (DUP 785; NSC 368390) in cancer patients
.
Eur J Cancer
.
1993
;
29A
(
7
):
983
-
988
.
8.
Wei
J
,
Liu
F
,
Lu
Z
, et al
.
Differential m(6)A, m(6)A(m), and m(1)A Demethylation mediated by FTO in the cell nucleus and cytoplasm
.
Mol Cell
.
2018
;
71
(
6
):
973
-
985.e5
.
9.
Sexauer
AN
,
Alexe
G
,
Gustafsson
K
, et al
.
DHODH: a promising target in the treatment of T-cell acute lymphoblastic leukemia
.
Blood Adv
.
2023
;
7
(
21
):
6685
-
6701
.
Sign in via your Institution