Predictive values of plasma TNFα and IL-8 for intracranial hemorrhage in patients with acute promyelocytic leukemia

Fangyi Dong, Li Chen, Chaoxian Zhao, Xiaoyang Li, Yun Tan, Huan Song, Wen Jin, Hongming Zhu, Yunxiang Zhang, Kai Xue, Junmin Li, Kankan Wang

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Front. Med. ›› 2022, Vol. 16 ›› Issue (6) : 909-918. DOI: 10.1007/s11684-021-0890-1
RESEARCH ARTICLE
RESEARCH ARTICLE

Predictive values of plasma TNFα and IL-8 for intracranial hemorrhage in patients with acute promyelocytic leukemia

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Abstract

In patients with acute promyelocytic leukemia (APL), intracranial hemorrhage (ICH), if not identified promptly, could be fatal. It is the leading cause of failure of induction and early death. Thus, biomarkers that could promptly predict severe complications are critical. Here, cytokine differences between patients with APL with and without ICH were investigated to develop predictive models for this complication. The initial cytokine profiling using plasma samples from 39 patients and 18 healthy donors found a series of cytokines that were remarkedly different between patients with APL and healthy controls. The APL patients were subsequently divided into high and low white blood cell count groups. Results showed that tumor necrosis factor α and interleukin 8 (IL-8) were vital in distinguishing patients with APL who did or did not develop ICH. In addition, verification in 81 patients with APL demonstrated that the two cytokines were positively correlated with the cumulative incidence of ICH. Finally, in-vitro and in-vivo experimental evidence were provided to show that IL-8 influenced the migration of APL-derived NB4 cells and impaired the blood–brain barrier in PML/RARα positive blast-transplanted FVB/NJ mice. These assessments may facilitate the early warning of ICH and reduce future mortality levels in APL.

Keywords

acute promyelocytic leukemia / intracranial hemorrhage / cytokines / biomarker

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Fangyi Dong, Li Chen, Chaoxian Zhao, Xiaoyang Li, Yun Tan, Huan Song, Wen Jin, Hongming Zhu, Yunxiang Zhang, Kai Xue, Junmin Li, Kankan Wang. Predictive values of plasma TNFα and IL-8 for intracranial hemorrhage in patients with acute promyelocytic leukemia. Front. Med., 2022, 16(6): 909‒918 https://doi.org/10.1007/s11684-021-0890-1

References

[1]
dela Serna J, MontesinosP, VellengaE, RayónC, ParodyR, LeónA, EsteveJ, BerguaJM, MiloneG, DebénG, RivasC, GonzálezM, TormoM, Díaz-MediavillaJ, GonzálezJD, NegriS, AmutioE, BrunetS, LowenbergB, SanzMA. Causes and prognostic factors of remission induction failure in patients with acute promyelocytic leukemia treated with all-trans retinoic acid and idarubicin. Blood 2008; 111( 7): 3395– 3402
CrossRef Pubmed Google scholar
[2]
YanadaM, MatsushitaT, AsouN, KishimotoY, TsuzukiM, MaedaY, HorikawaK, OkadaM, OhtakeS, YagasakiF, MatsumotoT, KimuraY, ShinagawaK, IwanagaM, MiyazakiY, OhnoR, NaoeT. Severe hemorrhagic complications during remission induction therapy for acute promyelocytic leukemia: incidence, risk factors, and influence on outcome. Eur J Haematol 2007; 78( 3): 213– 219
CrossRef Pubmed Google scholar
[3]
JillellaAP, KotaVK. The global problem of early deaths in acute promyelocytic leukemia: a strategy to decrease induction mortality in the most curable leukemia. Blood Rev 2018; 32( 2): 89– 95
CrossRef Pubmed Google scholar
[4]
ManthaS, GoldmanDA, DevlinSM, LeeJW, ZanninoD, CollinsM, DouerD, IlandHJ, LitzowMR, SteinEM, AppelbaumFR, LarsonRA, StoneR, PowellBL, GeyerS, LaumannK, RoweJM, ErbaH, CoutreS, OthusM, ParkJH, WiernikPH, TallmanMS. Determinants of fatal bleeding during induction therapy for acute promyelocytic leukemia in the ATRA era. Blood 2017; 129( 13): 1763– 1767
CrossRef Pubmed Google scholar
[5]
Mantha S, Tallman MS, Devlin SM, Soff GA. Predictive factors of fatal bleeding in acute promyelocytic leukemia. Thromb Res 2018; 164(Supp 1): S98–S102
[6]
De BoerB, ShevelevaS, ApeltK, VellengaE, MulderAB, SchuringaGH, JacobJ. The IL1–IL1RAP axis plays an important role in the inflammatory leukemic niche that favors acute myeloid leukemia proliferation over normal hematopoiesis. Haematologica 2021; 106( 12): 3067– 3078
CrossRef Pubmed Google scholar
[7]
ForteD, García-FernándezM, Sánchez-Aguilera A, StavropoulouV, FieldingC, Martín-PérezD, LópezJA, CostaASH, TronciL, NikitopoulouE, BarberM, GallipoliP, MarandoL, Fernándezde Castillejo CL, TzankovA, DietmannS, CavoM, CataniL, CurtiA, VázquezJ, FrezzaC, HuntlyBJ, SchwallerJ, Méndez-FerrerS. Bone marrow mesenchymal stem cells support acute myeloid leukemia bioenergetics and enhance antioxidant defense and escape from chemotherapy. Cell Metab 2020; 32( 5): 829– 843.e9
CrossRef Pubmed Google scholar
[8]
StuaniL, SarryJE. Microenvironmental aspartate preserves leukemic cells from therapy-induced metabolic collapse. Cell Metab 2020; 32( 3): 321– 323
CrossRef Pubmed Google scholar
[9]
BulaevaE, PellacaniD, NakamichiN, HammondCA, BeerPA, LorzadehA, MoksaM, CarlesA, BilenkyM, LefortS, ShuJ, WilhelmBT, WengAP, HirstM, EavesCJ. MYC-induced human acute myeloid leukemia requires a continuing IL-3/GM-CSF costimulus. Blood 2020; 136( 24): 2764– 2773
CrossRef Pubmed Google scholar
[10]
YamashitaM, PasseguéE. TNF-α coordinates hematopoietic stem cell survival and myeloid regeneration. Cell Stem Cell 2019; 25( 3): 357– 372.e7
CrossRef Pubmed Google scholar
[11]
SinclairA, ParkL, ShahM, DrotarM, CalaminusS, HopcroftLE, KinstrieR, GuitartAV, DunnK, AbrahamSA, SansomO, MichieAM, MacheskyL, KrancKR, GrahamGJ, PellicanoF, HolyoakeTL. CXCR2 and CXCL4 regulate survival and self-renewal of hematopoietic stem/progenitor cells. Blood 2016; 128( 3): 371– 383
CrossRef Pubmed Google scholar
[12]
ChenF, ZhouK, ZhangL, MaF, ChenD, CuiJ, FengX, YangS, ChiY, HanZ, XueF, RongL, GeM, WanL, XuS, DuW, LuS, RenH, HanZ. Mesenchymal stem cells induce granulocytic differentiation of acute promyelocytic leukemic cells via IL-6 and MEK/ERK pathways. Stem Cells Dev 2013; 22( 13): 1955– 1967
CrossRef Pubmed Google scholar
[13]
MaR, LiT, CaoM, SiY, WuX, ZhaoL, YaoZ, ZhangY, FangS, DengR, NovakovicVA, BiY, KouJ, YuB, YangS, WangJ, ZhouJ, ShiJ. Extracellular DNA traps released by acute promyelocytic leukemia cells through autophagy. Cell Death Dis 2016; 7( 6): e2283
CrossRef Pubmed Google scholar
[14]
PalibrkV, SuganthanR, SchefflerK, WangW, BjøråsM, BøeSO. PML regulates neuroprotective innate immunity and neuroblast commitment in a hypoxic-ischemic encephalopathy model. Cell Death Dis 2016; 7( 7): e2320
CrossRef Pubmed Google scholar
[15]
BreenKA, GrimwadeD, HuntBJ. The pathogenesis and management of the coagulopathy of acute promyelocytic leukaemia. Br J Haematol 2012; 156( 1): 24– 36
CrossRef Pubmed Google scholar
[16]
SanzMA, LoCoco F, MartínG, AvvisatiG, RayónC, BarbuiT, Díaz-MediavillaJ, FioritoniG, GonzálezJD, LisoV, EsteveJ, FerraraF, BoluferP, BernasconiC, GonzalezM, RodeghieroF, ColomerD, PettiMC, RiberaJM, MandelliF. Definition of relapse risk and role of nonanthracycline drugs for consolidation in patients with acute promyelocytic leukemia: a joint study of the PETHEMA and GIMEMA cooperative groups. Blood 2000; 96( 4): 1247– 1253
Pubmed
[17]
BreimanL. Random Forests. Mach Learn 2001; 45( 1): 5– 32
CrossRef Google scholar
[18]
LiawA, WienerM. Classification and regression by randomForest. R News 2002; 2 : 18– 22
[19]
LehmannS, RavnA, CarlssonL, AntunovicP, DenebergS, MöllgårdL, DerolfAR, StockelbergD, TidefeltU, WahlinA, WennströmL, HöglundM, JuliussonG. Continuing high early death rate in acute promyelocytic leukemia: a population-based report from the Swedish Adult Acute Leukemia Registry. Leukemia 2011; 25( 7): 1128– 1134
CrossRef Pubmed Google scholar
[20]
GurnariC, BrecciaM, Di GiulianoF, ScalzulliE, DivonaM, PiciocchiA, CicconiL, De BellisE, VendittiA, Del PrincipeMI, ArceseW, Lo-CocoF, GaraciF, VosoMT. Early intracranial haemorrhages in acute promyelocytic leukaemia: analysis of neuroradiological and clinico-biological parameters. Br J Haematol 2021; 193( 1): 129– 132
CrossRef Pubmed Google scholar
[21]
Sanchez-CorreaB, BerguaJM, CamposC, GayosoI, ArcosMJ, BañasH, MorgadoS, CasadoJG, SolanaR, TarazonaR. Cytokine profiles in acute myeloid leukemia patients at diagnosis: survival is inversely correlated with IL-6 and directly correlated with IL-10 levels. Cytokine 2013; 61( 3): 885– 891
CrossRef Pubmed Google scholar
[22]
CareyA, EdwardsDK 5th, EideCA, NewellL, TraerE, MedeirosBC, PollyeaDA, DeiningerMW, CollinsRH, TynerJW, DrukerBJ, BagbyGC, McWeeneySK, AgarwalA. Identification of interleukin-1 by functional screening as a key mediator of cellular expansion and disease progression in acute myeloid leukemia. Cell Rep 2017; 18( 13): 3204– 3218
CrossRef Pubmed Google scholar
[23]
KatsumuraKR, OngIM, DeVilbissAW, SanalkumarR, BresnickEH. GATA factor-dependent positive-feedback circuit in acute myeloid leukemia cells. Cell Rep 2016; 16( 9): 2428– 2441
CrossRef Pubmed Google scholar
[24]
BinderS, LucianoM, Horejs-HoeckJ. The cytokine network in acute myeloid leukemia (AML): a focus on pro- and anti-inflammatory mediators. Cytokine Growth Factor Rev 2018; 43 : 8– 15
CrossRef Pubmed Google scholar
[25]
BiKH, JiangGS. Relationship between cytokines and leukocytosis in patients with APL induced by all-trans retinoic acid or arsenic trioxide. Cell Mol Immunol 2006; 3( 6): 421– 427
Pubmed
[26]
ChoudhryA, DeLougheryTG. Bleeding and thrombosis in acute promyelocytic leukemia. Am J Hematol 2012; 87( 6): 596– 603
CrossRef Pubmed Google scholar
[27]
JambrovicsK, UrayIP, KeresztessyZ, KeillorJW, FésüsL, BalajthyZ. Transglutaminase 2 programs differentiating acute promyelocytic leukemia cells in all-trans retinoic acid treatment to inflammatory stage through NF-κB activation. Haematologica 2019; 104( 3): 505– 515
CrossRef Pubmed Google scholar
[28]
HanahanD, WeinbergRA. Hallmarks of cancer: the next generation. Cell 2011; 144( 5): 646– 674
CrossRef Pubmed Google scholar
[29]
TrabanelliS, ChevalierMF, Martinez-UsatorreA, Gomez-CadenaA, SaloméB, LeccisoM, SalvestriniV, VerdeilG, RacleJ, PapayannidisC, MoritaH, PizzitolaI, GrandclémentC, BohnerP, BruniE, GirotraM, PallaviR, FalvoP, LeibundgutEO, BaerlocherGM, Carlo-StellaC, TaurinoD, SantoroA, SpinelliO, RambaldiA, GiarinE, BassoG, TresoldiC, CiceriF, GfellerD, AkdisCA, MazzarellaL, MinucciS, PelicciPG, MarcenaroE, McKenzieANJ, VanheckeD, CoukosG, MavilioD, CurtiA, DerréL, JandusC. Tumour-derived PGD2 and NKp30-B7H6 engagement drives an immunosuppressive ILC2-MDSC axis. Nat Commun 2017; 8( 1): 593
CrossRef Pubmed Google scholar
[30]
MantovaniA, AllavenaP, SicaA, BalkwillF. Cancer-related inflammation. Nature 2008; 454( 7203): 436– 444
CrossRef Pubmed Google scholar
[31]
TsaiWH, HsuHC, LinCC, HoCK, KouYR. Role of interleukin-8 and growth-regulated oncogene-alpha in the chemotactic migration of all-trans retinoic acid-treated promyelocytic leukemic cells toward alveolar epithelial cells. Crit Care Med 2007; 35( 3): 879– 885
CrossRef Pubmed Google scholar
[32]
TsaiWH, ShihCH, LinCC, HoCK, HsuFC, HsuHC. Monocyte chemotactic protein-1 in the migration of differentiated leukaemic cells toward alveolar epithelial cells. Eur Respir J 2008; 31( 5): 957– 962
CrossRef Pubmed Google scholar
[33]
Ataca AtillaP, McKennaMK, TashiroH, SrinivasanM, MoF, WatanabeN, SimonsBW, McLean StevensA, RedellMS, HeslopHE, MamonkinM, BrennerMK, AtillaE. Modulating TNFα activity allows transgenic IL15-Expressing CLL-1 CAR T cells to safely eliminate acute myeloid leukemia. J Immunother Cancer 2020; 8( 2): e001229
CrossRef Pubmed Google scholar
[34]
KangTY, BocciF, JollyMK, LevineH, OnuchicJN, LevchenkoA. Pericytes enable effective angiogenesis in the presence of proinflammatory signals. Proc Natl Acad Sci USA 2019; 116( 47): 23551– 23561
CrossRef Pubmed Google scholar
[35]
SmythLCD, RustenhovenJ, ParkTI, SchwederP, JanssonD, HeppnerPA, O’CarrollSJ, MeeEW, FaullRLM, CurtisM, DragunowM. Unique and shared inflammatory profiles of human brain endothelia and pericytes. J Neuroinflammation 2018; 15( 1): 138
CrossRef Pubmed Google scholar
[36]
VolkA, LiJ, XinJ, YouD, ZhangJ, LiuX, XiaoY, BreslinP, LiZ, WeiW, SchmidtR, LiX, ZhangZ, KuoPC, NandS, ZhangJ, ChenJ, ZhangJ. Co-inhibition of NF-κB and JNK is synergistic in TNF-expressing human AML. J Exp Med 2014; 211( 6): 1093– 1108
CrossRef Pubmed Google scholar
[37]
LeeTH, HsiehST, ChiangHY. Fibronectin inhibitor pUR4 attenuates tumor necrosis factor α-induced endothelial hyperpermeability by modulating β1 integrin activation. J Biomed Sci 2019; 26( 1): 37
CrossRef Pubmed Google scholar
[38]
DoranKS, LiuGY, NizetV. Group B streptococcal beta-hemolysin/cytolysin activates neutrophil signaling pathways in brain endothelium and contributes to development of meningitis. J Clin Invest 2003; 112( 5): 736– 744
CrossRef Pubmed Google scholar
[39]
SempleBD, KossmannT, Morganti-KossmannMC. Role of chemokines in CNS health and pathology: a focus on the CCL2/CCR2 and CXCL8/CXCR2 networks. J Cereb Blood Flow Metab 2010; 30( 3): 459– 473
CrossRef Pubmed Google scholar
[40]
MengL, ZhaoY, BuW, LiX, LiuX, ZhouD, ChenY, ZhengS, LinQ, LiuQ, SunH. Bone mesenchymal stem cells are recruited via CXCL8-CXCR2 and promote EMT through TGF-β signal pathways in oral squamous carcinoma. Cell Prolif 2020; 53( 8): e12859
CrossRef Pubmed Google scholar
[41]
JayatilakaH, TyleP, ChenJJ, KwakM, JuJ, KimHJ, LeeJSH, WuPH, GilkesDM, FanR, WirtzD. Synergistic IL-6 and IL-8 paracrine signalling pathway infers a strategy to inhibit tumour cell migration. Nat Commun 2017; 8( 1): 15584
CrossRef Pubmed Google scholar
[42]
CaiP, WuQ, WangY, YangX, ZhangX, ChenS. An effective early death scoring system for predicting early death risk in de novo acute promyelocytic leukemia. Leuk Lymphoma 2020; 61( 8): 1989– 1995
CrossRef Pubmed Google scholar
[43]
JinB, ZhangY, HouW, CaoF, LuM, YangH, TianX, WangY, HouJ, FuJ, LiH, ZhouJ. Comparative analysis of causes and predictors of early death in elderly and young patients with acute promyelocytic leukemia treated with arsenic trioxide. J Cancer Res Clin Oncol 2020; 146( 2): 485– 492
CrossRef Pubmed Google scholar
[44]
AblaO, RibeiroRC, TestiAM, MontesinosP, CreutzigU, SungL, Di GiuseppeG, StephensD, FeusnerJH, PowellBL, HasleH, KaspersGJL, Dalla-PozzaL, LassalettaA, TallmanMS, LocatelliF, ReinhardtD, Lo-CocoF, HitzlerJ, SanzMA. Predictors of thrombohemorrhagic early death in children and adolescents with t(15;17)-positive acute promyelocytic leukemia treated with ATRA and chemotherapy. Ann Hematol 2017; 96( 9): 1449– 1456
CrossRef Pubmed Google scholar

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. 81890994, 81770144, 81870119, 81800141, and 81770153) and the National Key Research and Development Program (No. 2019YFA0905900).

Compliance with ethics guidelines

Fangyi Dong, Li Chen, Chaoxian Zhao, Xiaoyang Li, Yun Tan, Huan Song, Wen Jin, Hongming Zhu, Yunxiang Zhang, Kai Xue, Junmin Li, and Kankan Wang declare that they have no conflict of interest. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000 (5). Informed consent was obtained from all patients for being included in the study. All institutional and national guidelines for the care and use of laboratory animals were followed.

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Supplementary material is available in the online version of this article at https://doi.org/10.1007/s11684-021-0890-1 and is accessible for authorized users.

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