HLA Loss Leukemia Relapses after Partially-Incompatible Allogeneic HSCT As a Prototypical System to Investigate Natural Killer Cell Dynamics
▪ Background Despite the constant improvement in the outcome of allogeneic Hematopoietic Stem Cell Transplantation (allo-HSCT) for Acute Myeloid Leukemia (AML), relapses remain frequent, warranting investigation on their biological bases. After haploidentical HSCT up to one third of AML relapses fea...
Saved in:
Published in | Blood Vol. 126; no. 23; p. 743 |
---|---|
Main Authors | , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
03.12.2015
|
Online Access | Get full text |
ISSN | 0006-4971 1528-0020 |
DOI | 10.1182/blood.V126.23.743.743 |
Cover
Abstract | ▪
Background
Despite the constant improvement in the outcome of allogeneic Hematopoietic Stem Cell Transplantation (allo-HSCT) for Acute Myeloid Leukemia (AML), relapses remain frequent, warranting investigation on their biological bases.
After haploidentical HSCT up to one third of AML relapses feature selective genomic loss of the HLA haplotype targeted by alloreactive donor T cells (Vago, N Engl J Med, 2009; Crucitti, Leukemia, 2015), evading their control and gaining the ability to outgrow.
Yet, Natural Killer (NK) cells mediate alloreactivity in response to loss of specific HLA allotypes from target cells: thus, in theory, HLA loss relapses should represent excellent targets for donor NK cell recognition. Here we investigated the dynamics of NK cells in this unique immunogenetic context, to understand the biological bases of their failure in preventing the emergence of HLA loss variants.
Methods
We took into consideration 23 patients who after T cell replete haploidentical HSCT experienced HLA loss relapses. NK cell alloreactivity was predicted according to the Perugia algorithm (Ruggeri, Science, 1999). Killer Cell Immunoglobulin-like Receptor (KIR) typing was performed using a commercially-available kit, and KIR B-content estimated using the EMBL-EBI calculator. The phenotypic features of peripheral blood NK cells were assessed by multiparametric flow cytometry, and high dimensional single-cell analysis was performed using the viSNE bioinformatic tool.
Results
Based on donor-recipient HLA typing, at the time of HSCT NK cell alloreactivity in the graft-versus-leukemia direction was predicted in 10/23 patients who experienced HLA loss relapses (43.5%). In 7/23 additional patients (30.4%), conditions for predicted NK cell alloreactivity were fulfilled at time of relapse, upon genomic loss of the mismatched HLA haplotype from AML blasts. In all cases KIR genotyping confirmed the presence in the donor repertoire of the necessary KIR genes. Only 3/17 HSC donors were homozygous for KIR A haplotypes, encoding preferentially inhibitory KIR genes, and most carried equal or higher numbers of activating KIR genes than expected (Cooley, Blood, 2010). Thus, the absence of NK cell-mediated control of HLA loss variants can not be explained by an unfavorable immunogenetic asset of HSC donors.
Therefore we characterized the phenotypic features of NK cells circulating in the peripheral blood of 7 patients at the time of HLA loss relapse (median time after HSCT 307 days, range 147-703), and compared them to their counterparts in healthy individuals (n=6), and matched-paired transplanted patients in remission (n=6), or at the time of non HLA loss ("classical") relapse (n=7). We analyzed a total of 27 markers involved in NK cell target recognition (KIRs, NKG2A, NKG2C, SIGLEC7, SIGLEC9), activation (NKp30, NKp44, NKp46, NKG2D, 2B4, DNAM1), maturation (CD57, CD16, CD62L), and exhaustion (PD1, TIM3, KLRG1). At the time of HLA loss relapse, NK cells had recovered a mature phenotype, although with a slightly higher frequency of CD56bright cells. In all cases in which NK cell alloreactivity had been predicted we detected the single-KIR+ NK cells of interest, without significant differences between patients and controls. However NK cells from transplanted patients expressed lower levels of the SIGLEC9 (p<0.0001) and SIGLEC7 (p=0.03) receptors as compared to healthy individuals, suggesting impaired antitumor activity (Jandus , J Clin Invest, 2014), and higher levels of exhaustion markers including TIM3 (p=0.03). Accordingly, viSNE maps demonstrated differential clustering of NK cells between patients and healthy subjects, mainly explained by the aforementioned differences.
Conclusions
Even at late timepoints after partially-incompatible allo-HSCT, when HLA loss relapses typically occur, the reconstituted NK cell repertoire displays profound differences from its counterpart in healthy subjects, hinting for defective immunosurveillance. Therapeutic protocols employing freshly isolated mature donor NK cells should thus be further investigated for the prevention and treatment of HLA loss relapses.
[Display omitted]
No relevant conflicts of interest to declare. |
---|---|
AbstractList | Background
Despite the constant improvement in the outcome of allogeneic Hematopoietic Stem Cell Transplantation (allo-HSCT) for Acute Myeloid Leukemia (AML), relapses remain frequent, warranting investigation on their biological bases.
After haploidentical HSCT up to one third of AML relapses feature selective genomic loss of the HLA haplotype targeted by alloreactive donor T cells (Vago, N Engl J Med, 2009; Crucitti, Leukemia, 2015), evading their control and gaining the ability to outgrow.
Yet, Natural Killer (NK) cells mediate alloreactivity in response to loss of specific HLA allotypes from target cells: thus, in theory, HLA loss relapses should represent excellent targets for donor NK cell recognition. Here we investigated the dynamics of NK cells in this unique immunogenetic context, to understand the biological bases of their failure in preventing the emergence of HLA loss variants.
Methods
We took into consideration 23 patients who after T cell replete haploidentical HSCT experienced HLA loss relapses. NK cell alloreactivity was predicted according to the Perugia algorithm (Ruggeri, Science, 1999). Killer Cell Immunoglobulin-like Receptor (KIR) typing was performed using a commercially-available kit, and KIR B-content estimated using the EMBL-EBI calculator. The phenotypic features of peripheral blood NK cells were assessed by multiparametric flow cytometry, and high dimensional single-cell analysis was performed using the viSNE bioinformatic tool.
Results
Based on donor-recipient HLA typing, at the time of HSCT NK cell alloreactivity in the graft-versus-leukemia direction was predicted in 10/23 patients who experienced HLA loss relapses (43.5%). In 7/23 additional patients (30.4%), conditions for predicted NK cell alloreactivity were fulfilled at time of relapse, upon genomic loss of the mismatched HLA haplotype from AML blasts. In all cases KIR genotyping confirmed the presence in the donor repertoire of the necessary KIR genes. Only 3/17 HSC donors were homozygous for KIR A haplotypes, encoding preferentially inhibitory KIR genes, and most carried equal or higher numbers of activating KIR genes than expected (Cooley, Blood, 2010). Thus, the absence of NK cell-mediated control of HLA loss variants can not be explained by an unfavorable immunogenetic asset of HSC donors.
Therefore we characterized the phenotypic features of NK cells circulating in the peripheral blood of 7 patients at the time of HLA loss relapse (median time after HSCT 307 days, range 147-703), and compared them to their counterparts in healthy individuals (n=6), and matched-paired transplanted patients in remission (n=6), or at the time of non HLA loss ("classical") relapse (n=7). We analyzed a total of 27 markers involved in NK cell target recognition (KIRs, NKG2A, NKG2C, SIGLEC7, SIGLEC9), activation (NKp30, NKp44, NKp46, NKG2D, 2B4, DNAM1), maturation (CD57, CD16, CD62L), and exhaustion (PD1, TIM3, KLRG1). At the time of HLA loss relapse, NK cells had recovered a mature phenotype, although with a slightly higher frequency of CD56bright cells. In all cases in which NK cell alloreactivity had been predicted we detected the single-KIR+ NK cells of interest, without significant differences between patients and controls. However NK cells from transplanted patients expressed lower levels of the SIGLEC9 (p<0.0001) and SIGLEC7 (p=0.03) receptors as compared to healthy individuals, suggesting impaired antitumor activity (Jandus , J Clin Invest, 2014), and higher levels of exhaustion markers including TIM3 (p=0.03). Accordingly, viSNE maps demonstrated differential clustering of NK cells between patients and healthy subjects, mainly explained by the aforementioned differences.
Conclusions
Even at late timepoints after partially-incompatible allo-HSCT, when HLA loss relapses typically occur, the reconstituted NK cell repertoire displays profound differences from its counterpart in healthy subjects, hinting for defective immunosurveillance. Therapeutic protocols employing freshly isolated mature donor NK cells should thus be further investigated for the prevention and treatment of HLA loss relapses.
Figure 1. The same viSNE map, obtained by analysis of the entire dataset, is differentially colored to evidence the spatial distribution, and thus phenotypic similarity, of NK cells from each cohort (upper row) or the intensity of expression of the indicated markers (lower row). Figure 1. The same viSNE map, obtained by analysis of the entire dataset, is differentially colored to evidence the spatial distribution, and thus phenotypic similarity, of NK cells from each cohort (upper row) or the intensity of expression of the indicated markers (lower row). ▪ Background Despite the constant improvement in the outcome of allogeneic Hematopoietic Stem Cell Transplantation (allo-HSCT) for Acute Myeloid Leukemia (AML), relapses remain frequent, warranting investigation on their biological bases. After haploidentical HSCT up to one third of AML relapses feature selective genomic loss of the HLA haplotype targeted by alloreactive donor T cells (Vago, N Engl J Med, 2009; Crucitti, Leukemia, 2015), evading their control and gaining the ability to outgrow. Yet, Natural Killer (NK) cells mediate alloreactivity in response to loss of specific HLA allotypes from target cells: thus, in theory, HLA loss relapses should represent excellent targets for donor NK cell recognition. Here we investigated the dynamics of NK cells in this unique immunogenetic context, to understand the biological bases of their failure in preventing the emergence of HLA loss variants. Methods We took into consideration 23 patients who after T cell replete haploidentical HSCT experienced HLA loss relapses. NK cell alloreactivity was predicted according to the Perugia algorithm (Ruggeri, Science, 1999). Killer Cell Immunoglobulin-like Receptor (KIR) typing was performed using a commercially-available kit, and KIR B-content estimated using the EMBL-EBI calculator. The phenotypic features of peripheral blood NK cells were assessed by multiparametric flow cytometry, and high dimensional single-cell analysis was performed using the viSNE bioinformatic tool. Results Based on donor-recipient HLA typing, at the time of HSCT NK cell alloreactivity in the graft-versus-leukemia direction was predicted in 10/23 patients who experienced HLA loss relapses (43.5%). In 7/23 additional patients (30.4%), conditions for predicted NK cell alloreactivity were fulfilled at time of relapse, upon genomic loss of the mismatched HLA haplotype from AML blasts. In all cases KIR genotyping confirmed the presence in the donor repertoire of the necessary KIR genes. Only 3/17 HSC donors were homozygous for KIR A haplotypes, encoding preferentially inhibitory KIR genes, and most carried equal or higher numbers of activating KIR genes than expected (Cooley, Blood, 2010). Thus, the absence of NK cell-mediated control of HLA loss variants can not be explained by an unfavorable immunogenetic asset of HSC donors. Therefore we characterized the phenotypic features of NK cells circulating in the peripheral blood of 7 patients at the time of HLA loss relapse (median time after HSCT 307 days, range 147-703), and compared them to their counterparts in healthy individuals (n=6), and matched-paired transplanted patients in remission (n=6), or at the time of non HLA loss ("classical") relapse (n=7). We analyzed a total of 27 markers involved in NK cell target recognition (KIRs, NKG2A, NKG2C, SIGLEC7, SIGLEC9), activation (NKp30, NKp44, NKp46, NKG2D, 2B4, DNAM1), maturation (CD57, CD16, CD62L), and exhaustion (PD1, TIM3, KLRG1). At the time of HLA loss relapse, NK cells had recovered a mature phenotype, although with a slightly higher frequency of CD56bright cells. In all cases in which NK cell alloreactivity had been predicted we detected the single-KIR+ NK cells of interest, without significant differences between patients and controls. However NK cells from transplanted patients expressed lower levels of the SIGLEC9 (p<0.0001) and SIGLEC7 (p=0.03) receptors as compared to healthy individuals, suggesting impaired antitumor activity (Jandus , J Clin Invest, 2014), and higher levels of exhaustion markers including TIM3 (p=0.03). Accordingly, viSNE maps demonstrated differential clustering of NK cells between patients and healthy subjects, mainly explained by the aforementioned differences. Conclusions Even at late timepoints after partially-incompatible allo-HSCT, when HLA loss relapses typically occur, the reconstituted NK cell repertoire displays profound differences from its counterpart in healthy subjects, hinting for defective immunosurveillance. Therapeutic protocols employing freshly isolated mature donor NK cells should thus be further investigated for the prevention and treatment of HLA loss relapses. [Display omitted] No relevant conflicts of interest to declare. |
Author | Oliveira, Giacomo Zito, Laura Ciceri, Fabio Bernardi, Massimo Toffalori, Cristina Lupo Stanghellini, Maria Teresa Peccatori, Jacopo Vago, Luca Crucitti, Lara Mazzi, Benedetta Carrabba, Matteo G Greco, Raffaella Gambacorta, Valentina Bonini, Chiara Noviello, Maddalena Fleischhauer, Katharina |
Author_xml | – sequence: 1 givenname: Valentina surname: Gambacorta fullname: Gambacorta, Valentina organization: Unit of Immunogenetics, Leukemia Genomics and Immunobiology, San Raffaele Scientific Institute, Milano, Italy – sequence: 2 givenname: Giacomo surname: Oliveira fullname: Oliveira, Giacomo organization: Unit of Immunogenetics, Leukemia Genomics and Immunobiology, San Raffaele Scientific Institute, Milano, Italy – sequence: 3 givenname: Laura surname: Zito fullname: Zito, Laura organization: Unit of Immunogenetics, Leukemia Genomics and Immunobiology, San Raffaele Scientific Institute, Milano, Italy – sequence: 4 givenname: Cristina surname: Toffalori fullname: Toffalori, Cristina organization: Unit of Immunogenetics, Leukemia Genomics and Immunobiology, San Raffaele Scientific Institute, Milano, Italy – sequence: 5 givenname: Lara surname: Crucitti fullname: Crucitti, Lara organization: Unit of Immunogenetics, Leukemia Genomics and Immunobiology, San Raffaele Scientific Institute, Milano, Italy – sequence: 6 givenname: Maddalena surname: Noviello fullname: Noviello, Maddalena organization: Experimental Hematology Unit, San Raffaele Scientific Institute, Milano, Italy – sequence: 7 givenname: Benedetta surname: Mazzi fullname: Mazzi, Benedetta organization: Unit of Immunogenetics, Leukemia Genomics and Immunobiology, San Raffaele Scientific Institute, Milano, Italy – sequence: 8 givenname: Raffaella surname: Greco fullname: Greco, Raffaella organization: Unit of Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milano, Italy – sequence: 9 givenname: Maria Teresa surname: Lupo Stanghellini fullname: Lupo Stanghellini, Maria Teresa organization: Unit of Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milano, Italy – sequence: 10 givenname: Matteo G surname: Carrabba fullname: Carrabba, Matteo G organization: Unit of Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milano, Italy – sequence: 11 givenname: Massimo surname: Bernardi fullname: Bernardi, Massimo organization: Unit of Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milano, Italy – sequence: 12 givenname: Jacopo surname: Peccatori fullname: Peccatori, Jacopo organization: Unit of Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milano, Italy – sequence: 13 givenname: Katharina surname: Fleischhauer fullname: Fleischhauer, Katharina organization: Institute for Experimental Cellular Therapy, Institute for Experimental Cellular Therapy, Essen, Germany – sequence: 14 givenname: Chiara surname: Bonini fullname: Bonini, Chiara organization: Experimental Hematology Unit, San Raffaele Scientific Institute, Milano, Italy – sequence: 15 givenname: Fabio surname: Ciceri fullname: Ciceri, Fabio organization: Unit of Hematology and Bone Marrow Transplantation, San Raffaele Scientific Institute, Milano, Italy – sequence: 16 givenname: Luca surname: Vago fullname: Vago, Luca organization: Unit of Immunogenetics, Leukemia Genomics and Immunobiology, San Raffaele Scientific Institute, Milano, Italy |
BookMark | eNqFkMlOwzAQhi0EEmV5BCS_QIqXbBUHVJWlFREgtqs1dSaVwYkr2yDlHXho0pYTFw6jOcx8v_R_R2S_cx0ScsbZmPNSnC-tc_X4jYt8LOS4SLezR0Y8E2XCmGD7ZMQYy5N0UvBDchTCO2M8lSIbke95NaWVC4FW-PmBrQH6hBbWAQOFJqKnj-CjAWv7ZNFp164hmqVFOrXWrbBDo-n8efZCp8M_ffQuutivjQZLn_sQsaXR0UX3hSGaFUSk9xA__XC9M9YO6TO0ll71HbRGhxNy0IANePq7j8nrzfXLbJ5UD7eL2bRKNM9SmdTlJGuknugi5xmTjJcZIJaFxBy4mNRcg9QMgBcZyznKoqxTwRohOZRQN1Iek4tdrvZDc4-N0iYOvVwXPRirOFMbsWorVm3EKiHVIHUzA539odfetOD7f7nLHYdDtS-DXgVtsNNYG486qtqZfxJ-AP5Bl68 |
CitedBy_id | crossref_primary_10_1016_j_jtct_2020_10_005 crossref_primary_10_1016_j_trim_2022_101602 |
ContentType | Journal Article |
Copyright | 2015 American Society of Hematology |
Copyright_xml | – notice: 2015 American Society of Hematology |
DBID | 6I. AAFTH AAYXX CITATION |
DOI | 10.1182/blood.V126.23.743.743 |
DatabaseName | ScienceDirect Open Access Titles Elsevier:ScienceDirect:Open Access CrossRef |
DatabaseTitle | CrossRef |
DatabaseTitleList | CrossRef |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine Chemistry Biology Anatomy & Physiology |
EISSN | 1528-0020 |
EndPage | 743 |
ExternalDocumentID | 10_1182_blood_V126_23_743_743 S0006497118477221 |
GroupedDBID | --- -~X .55 0R~ 23N 2WC 34G 39C 4.4 53G 5GY 5RE 5VS 6I. 6J9 AAEDW AAFTH AAXUO ABOCM ACGFO ADBBV ADVLN AENEX AFOSN AITUG AKRWK ALMA_UNASSIGNED_HOLDINGS AMRAJ BAWUL BTFSW CS3 DIK DU5 E3Z EBS EJD EX3 F5P FDB FRP GS5 GX1 H13 IH2 K-O KQ8 L7B LSO MJL N9A OK1 P2P R.V RHI ROL SJN THE TR2 TWZ W2D W8F WH7 WOQ WOW X7M YHG YKV AALRI AAYXX ACVFH ADCNI AEUPX AFPUW AGCQF AIGII AKBMS AKYEP CITATION |
ID | FETCH-LOGICAL-c1543-d895f3c9c7615030185aee873e6a129d1ca3c0aa175061e378d420f231a8adf33 |
ISSN | 0006-4971 |
IngestDate | Tue Jul 01 03:03:13 EDT 2025 Thu Apr 24 22:57:27 EDT 2025 Sun Apr 06 06:52:56 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 23 |
Language | English |
License | This article is made available under the Elsevier license. |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c1543-d895f3c9c7615030185aee873e6a129d1ca3c0aa175061e378d420f231a8adf33 |
OpenAccessLink | https://dx.doi.org/10.1182/blood.V126.23.743.743 |
PageCount | 1 |
ParticipantIDs | crossref_citationtrail_10_1182_blood_V126_23_743_743 crossref_primary_10_1182_blood_V126_23_743_743 elsevier_sciencedirect_doi_10_1182_blood_V126_23_743_743 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2015-12-03 |
PublicationDateYYYYMMDD | 2015-12-03 |
PublicationDate_xml | – month: 12 year: 2015 text: 2015-12-03 day: 03 |
PublicationDecade | 2010 |
PublicationTitle | Blood |
PublicationYear | 2015 |
Publisher | Elsevier Inc |
Publisher_xml | – name: Elsevier Inc |
SSID | ssj0014325 |
Score | 2.1700382 |
Snippet | ▪
Background
Despite the constant improvement in the outcome of allogeneic Hematopoietic Stem Cell Transplantation (allo-HSCT) for Acute Myeloid Leukemia... Background Despite the constant improvement in the outcome of allogeneic Hematopoietic Stem Cell Transplantation (allo-HSCT) for Acute Myeloid Leukemia (AML),... |
SourceID | crossref elsevier |
SourceType | Enrichment Source Index Database Publisher |
StartPage | 743 |
Title | HLA Loss Leukemia Relapses after Partially-Incompatible Allogeneic HSCT As a Prototypical System to Investigate Natural Killer Cell Dynamics |
URI | https://dx.doi.org/10.1182/blood.V126.23.743.743 |
Volume | 126 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lj9MwELaqRTwuCLqgXV7yAXGJEtI4bZxjKY8Kugi03dXeIsdxpIi0qbbpofwGfgQ_lRnbaVJR8dhDIzeynUjzZeazPQ9CXoaZn0rFfTfLFXfB4jE3lgJaIx6pMONhoCO8zz6Pphfhx6vhVa_3s-O1tKlTT34_GFdyE6nCPZArRsn-h2R3k8INaIN84QoShus_yXg6GzszsHLOTG2-qUUhtG_baq3Wtvb3FxwkynLrgh7AL78uMFJqXILGAyVXSGd6PpmDjByBIQN1VW9XWmomkTkS0zYRh0LPZp2l45MOIHQmuO_31pS0X--dDpe2BL327BGLFNTutaGplwLNnK3ZbXZ3Qd8WutqR86GAjotqt5ld6BpPOnZ7139e5blAt0G9xatVlJ3M7l0MhtoPhLUbak1QzZ7PJ1pQLHw32FPSJq7eojFgHZ0bmTxP1nzbf79bBo6ZZnU0gHcJs3kB86Cvtxu9l3T7XHM1eAdYAMP6AzMV3AoiYGd47P-1PacKWWBqZNhXtjFi8LDXBx91mP10GM38AblvlyJ0bHD1kPTUsk-Ox0tRV4stfUW1c7A-demT22-a1t1JUyKwT-6cWc-MY_IDsEgRi7TBIm2wSDUW6WEs0haLFLFIx9CfdrFIDRZpXdEOFqnFIjVYpIhF2mDxEbl4_24-mbq20ocrgcIzN-PxMGcylhHWJwCbw4dCKR4xNRJASLOBFEz6QgDXBf6pWMSzMPBzWJsILrKcscfkaFkt1Qmhfp6q0I9FpjIZpiqNB0Lx1BcjzhiWLjglYSOBRNo0-FiNpUz0cpgHiRZcgoJLApaA0PB3SrzdsJXJA_O3AbwRb2LJrCGpCSDyz0Of3HzoU3Kv_c6ekaP6eqOeA2uu0xcauL8AxALEJQ |
linkProvider | Colorado Alliance of Research Libraries |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=HLA+Loss+Leukemia+Relapses+after+Partially-Incompatible+Allogeneic+HSCT+As+a+Prototypical+System+to+Investigate+Natural+Killer+Cell+Dynamics&rft.jtitle=Blood&rft.au=Gambacorta%2C+Valentina&rft.au=Oliveira%2C+Giacomo&rft.au=Zito%2C+Laura&rft.au=Toffalori%2C+Cristina&rft.date=2015-12-03&rft.pub=Elsevier+Inc&rft.issn=0006-4971&rft.volume=126&rft.issue=23&rft.spage=743&rft.epage=743&rft_id=info:doi/10.1182%2Fblood.V126.23.743.743&rft.externalDocID=S0006497118477221 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0006-4971&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0006-4971&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0006-4971&client=summon |