• Bone marrow CD8+ T-cell differentiation states play a crucial role in patients with AML response to therapy.

  • Single-cell RNA sequencing analysis reveals developmental dichotomic programs and clonal expansion in relation to therapy response in AML.

Abstract

The interplay between T-cell states of differentiation, dysfunction, and treatment response in acute myeloid leukemia (AML) remains unclear. Here, we leveraged a multimodal approach encompassing high-dimensional flow cytometry and single-cell transcriptomics and found that early memory CD8+ T cells are associated with therapy response and exhibit a bifurcation into 2 distinct terminal end states. One state is enriched for markers of activation, whereas the other expresses natural killer (NK)-like and senescence markers. The skewed clonal differentiation trajectory toward CD8+ senescence was also a hallmark indicative of therapy resistance. We validated these findings by generating an AML CD8+ single-cell atlas integrating our data and other independent data sets. Finally, our analysis revealed that an imbalance between CD8+ early memory and senescent-like cells is linked to AML treatment refractoriness and poor survival. Our study provides crucial insights into the dynamics of CD8+ T-cell differentiation and advances our understanding of CD8+ T-cell dysfunction in AML.

1.
Waldman
AD
,
Fritz
JM
,
Lenardo
MJ
.
A guide to cancer immunotherapy: from T cell basic science to clinical practice
.
Nat Rev Immunol
.
2020
;
20
(
11
):
651
-
668
.
2.
Hiam-Galvez
KJ
,
Allen
BM
,
Spitzer
MH
.
Systemic immunity in cancer
.
Nat Rev Cancer
.
2021
;
21
(
6
):
345
-
359
.
3.
Zeidner
JF
,
Vincent
BG
,
Ivanova
A
, et al
.
Phase II trial of pembrolizumab after high-dose cytarabine in relapsed/refractory acute myeloid leukemia
.
Blood Cancer Discov
.
2021
;
2
(
6
):
616
-
629
.
4.
Abbas
HA
,
Hao
D
,
Tomczak
K
, et al
.
Single cell T cell landscape and T cell receptor repertoire profiling of AML in context of PD-1 blockade therapy
.
Nat Commun
.
2021
;
12
(
1
):
6071
.
5.
Daver
N
,
Garcia-Manero
G
,
Basu
S
, et al
.
Efficacy, safety, and biomarkers of response to azacitidine and nivolumab in relapsed/refractory acute myeloid leukemia: a nonrandomized, open-label, phase II study
.
Cancer Discov
.
2019
;
9
(
3
):
370
-
383
.
6.
Tambaro
FP
,
Singh
H
,
Jones
E
, et al
.
Autologous CD33-CAR-T cells for treatment of relapsed/refractory acute myelogenous leukemia
.
Leukemia
.
2021
;
35
(
11
):
3282
-
3286
.
7.
Cummins
KD
,
Gill
S
.
Chimeric antigen receptor T-cell therapy for acute myeloid leukemia: how close to reality?
.
Haematologica
.
2019
;
104
(
7
):
1302
-
1308
.
8.
Miller
BC
,
Sen
DR
,
Al Abosy
R
, et al
.
Subsets of exhausted CD8+ T cells differentially mediate tumor control and respond to checkpoint blockade
.
Nat Immunol
.
2019
;
20
(
3
):
326
-
336
.
9.
Hudson
WH
,
Gensheimer
J
,
Hashimoto
M
, et al
.
Proliferating transitory T cells with an effector-like transcriptional signature emerge from PD-1+ stem-like CD8+ T cells during chronic infection
.
Immunity
.
2019
;
51
(
6
):
1043
-
1058.e4
.
10.
Tsui
C
,
Kretschmer
L
,
Rapelius
S
, et al
.
MYB orchestrates T cell exhaustion and response to checkpoint inhibition
.
Nature
.
2022
;
609
(
7926
):
354
-
360
.
11.
Beltra
J-C
,
Manne
S
,
Abdel-Hakeem
MS
, et al
.
Developmental relationships of four exhausted CD8+ T cell subsets reveals underlying transcriptional and epigenetic landscape control m
.
Immunity
.
2020
;
52
(
5
):
825
-
841.e8
.
12.
Sade-Feldman
M
,
Yizhak
K
,
Bjorgaard
SL
, et al
.
Defining T cell states associated with response to checkpoint immunotherapy in melanoma
.
Cell
.
2018
;
175
(
4
):
998
-
1013.e20
.
13.
Good
CR
,
Aznar
MA
,
Kuramitsu
S
, et al
.
An NK-like CAR T cell transition in CAR T cell dysfunction
.
Cell
.
2021
;
184
(
25
):
6081
-
6100.e26
.
14.
Rutella
S
,
Vadakekolathu
J
,
Mazziotta
F
, et al
.
Immune dysfunction signatures predict outcomes and define checkpoint blockade-unresponsive microenvironments in acute myeloid leukemia
.
J Clin Invest
.
2022
;
132
(
21
):
e159579
.
15.
Knaus
HA
,
Berglund
S
,
Hackl
H
, et al
.
Signatures of CD8+ T cell dysfunction in AML patients and their reversibility with response to chemotherapy
.
JCI Insight
.
2018
;
3
(
21
):
e120974
.
16.
Zheng
L
,
Qin
S
,
Si
W
, et al
.
Pan-cancer single-cell landscape of tumor-infiltrating T cells
.
Science
.
2021
;
374
(
6574
):
abe6474
.
17.
van der Leun
AM
,
Thommen
DS
,
Schumacher
TN
.
CD8+ T cell states in human cancer: insights from single-cell analysis
.
Nat Rev Cancer
.
2020
;
20
(
4
):
218
-
232
.
18.
Bottomly
D
,
Long
N
,
Schultz
AR
, et al
.
Integrative analysis of drug response and clinical outcome in acute myeloid leukemia
.
Cancer Cell
.
2022
;
40
(
8
):
850
-
864.e9
.
19.
Mahnke
YD
,
Brodie
TM
,
Sallusto
F
,
Roederer
M
,
Lugli
E
.
The who’s who of T-cell differentiation: human memory T -cell subsets
.
Eur J Immunol
.
2013
;
43
(
11
):
2797
-
2809
.
20.
Gattinoni
L
,
Speiser
DE
,
Lichterfeld
M
,
Bonini
C
.
T memory stem cells in health and disease
.
Nat Med
.
2017
;
23
(
1
):
18
-
27
.
21.
Brenchley
JM
,
Karandikar
NJ
,
Betts
MR
, et al
.
Expression of CD57 defines replicative senescence and antigen-induced apoptotic death of CD8+ T cells
.
Blood
.
2003
;
101
(
7
):
2711
-
2720
.
22.
Larbi
A
,
Fulop
T
.
From “truly naïve” to “exhausted senescent” T cells: when markers predict functionality
.
Cytometry A
.
2014
;
85
(
1
):
25
-
35
.
23.
Dufva
O
,
Pölönen
P
,
Brück
O
, et al
.
Immunogenomic landscape of hematological malignancies
.
Cancer Cell
.
2020
;
38
(
3
):
424
-
428
.
24.
van Galen
P
,
Hovestadt
V
,
Wadsworth Ii
MH
, et al
.
Single-cell RNA-seq reveals AML hierarchies relevant to disease progression and immunity
.
Cell
.
2019
;
176
(
6
):
1265
-
1281.e24
.
25.
Chow
MT
,
Ozga
AJ
,
Servis
RL
, et al
.
Intratumoral activity of the CXCR3 chemokine system is required for the efficacy of anti-PD-1 therapy
.
Immunity
.
2019
;
50
(
6
):
1498
-
1512.e5
.
26.
Andreatta
M
,
Corria-Osorio
J
,
Müller
S
,
Cubas
R
,
Coukos
G
,
Carmona
SJ
.
Interpretation of T cell states from single-cell transcriptomics data using reference atlases
.
Nat Commun
.
2021
;
12
(
1
):
2965
.
27.
Penter
L
,
Liu
Y
,
Wolff
JO
, et al
.
Mechanisms of response and resistance to combined decitabine and ipilimumab for advanced myeloid disease
.
Blood
.
2023
;
141
(
15
):
1817
-
1830
.
28.
Desai
PN
,
Wang
B
,
Fonseca
A
, et al
.
Single-cell profiling of CD8+ T cells in acute myeloid leukemia reveals a continuous spectrum of differentiation and clonal hyperexpansion
.
Cancer Immunol Res
.
2023
;
11
(
7
):
1011
-
1028
.
29.
Good
Z
,
Spiegel
JY
,
Sahaf
B
, et al
.
Post-infusion CAR TReg cells identify patients resistant to CD19-CAR therapy
.
Nat Med
.
2022
;
28
(
9
):
1860
-
1871
.
30.
Lasry
A
,
Nadorp
B
,
Fornerod
M
, et al
.
An inflammatory state remodels the immune microenvironment and improves risk stratification in acute myeloid leukemia
.
Nat Cancer
.
2023
;
4
(
1
):
149
.
31.
Phipson
B
,
Sim
CB
,
Porrello
ER
,
Hewitt
AW
,
Powell
J
,
Oshlack
A
.
propeller: testing for differences in cell type proportions in single cell data
.
Bioinformatics
.
2022
;
38
(
20
):
4720
-
4726
.
32.
Reshef
YA
,
Rumker
L
,
Kang
JB
, et al
.
Co-varying neighborhood analysis identifies cell populations associated with phenotypes of interest from single-cell transcriptomics
.
Nat Biotechnol
.
2022
;
40
(
3
):
355
-
363
.
33.
Szabo
PA
,
Levitin
HM
,
Miron
M
, et al
.
Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease
.
Nat Commun
.
2019
;
10
(
1
):
4706
.
34.
Pace
L
,
Goudot
C
,
Zueva
E
, et al
.
The epigenetic control of stemness in CD8+ T cell fate commitment
.
Science
.
2018
;
359
(
6372
):
177
-
186
.
35.
Döhner
H
,
Estey
E
,
Grimwade
D
, et al
.
Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel
.
Blood
.
2017
;
129
(
4
):
424
-
447
.
36.
Street
K
,
Risso
D
,
Fletcher
RB
, et al
.
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics
.
BMC Genomics
.
2018
;
19
(
1
):
477
.
37.
Bergen
V
,
Lange
M
,
Peidli
S
,
Wolf
FA
,
Theis
FJ
.
Generalizing RNA velocity to transient cell states through dynamical modeling
.
Nat Biotechnol
.
2020
;
38
(
12
):
1408
-
1414
.
38.
Wolf
FA
,
Hamey
FK
,
Plass
M
, et al
.
PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells
.
Genome Biol
.
2019
;
20
(
1
):
59
.
39.
Lowery
FJ
,
Krishna
S
,
Yossef
R
, et al
.
Molecular signatures of antitumor neoantigen-reactive T cells from metastatic human cancers
.
Science (1979)
.
2022
;
375
(
6583
):
877
-
884
.
40.
Shugay
M
,
Bagaev
D V
,
Zvyagin
I V
, et al
.
VDJdb: a curated database of T-cell receptor sequences with known antigen specificity
.
Nucleic Acids Res
.
2018
;
46
(
D1
):
D419
-
D427
.
41.
Zhang
L
,
Yu
X
,
Zheng
L
, et al
.
Lineage tracking reveals dynamic relationships of T cells in colorectal cancer
.
Nature
.
2018
;
564
(
7735
):
268
-
272
.
42.
Andreatta
M
,
Berenstein
AJ
,
Carmona
SJ
.
scGate: marker-based purification of cell types from heterogeneous single-cell RNA-seq datasets
.
Bioinformatics
.
2022
;
38
(
9
):
2642
-
2644
.
43.
le Dieu
R
,
Taussig
DC
,
Ramsay
AG
, et al
.
Peripheral blood T cells in acute myeloid leukemia (AML) patients at diagnosis have abnormal phenotype and genotype and form defective immune synapses with AML blasts
.
Blood
.
2009
;
114
(
18
):
3909
-
3916
.
44.
Vadakekolathu
J
,
Minden
MD
,
Hood
T
, et al
.
Immune landscapes predict chemotherapy resistance and immunotherapy response in acute myeloid leukemia
.
Sci Transl Med
.
2020
;
12
(
546
):
eaaz0463
.
45.
Daniel
B
,
Yost
KE
,
Hsiung
S
, et al
.
Divergent clonal differentiation trajectories of T cell exhaustion
.
Nat Immunol
.
2022
;
23
(
11
):
1614
-
1627
.
46.
Giles
JR
,
Ngiow
SF
,
Manne
S
, et al
.
Shared and distinct biological circuits in effector, memory and exhausted CD8+ T cells revealed by temporal single-cell transcriptomics and epigenetics
.
Nat Immunol
.
2022
;
23
(
11
):
1600
-
1613
.
47.
Muroyama
Y
,
Wherry
EJ
.
Memory T-cell heterogeneity and terminology
.
Cold Spring Harb Perspect Biol
.
2021
;
13
(
10
):
a037929
.
48.
Joshi
NS
,
Cui
W
,
Chandele
A
, et al
.
Inflammation directs memory precursor and short-lived effector CD8+ T cell fates via the graded expression of T-bet transcription factor
.
Immunity
.
2007
;
27
(
2
):
281
-
295
.
You do not currently have access to this content.
Sign in via your Institution