Literature DB >> 32342603

Combination of CD47 and signal-regulatory protein-α constituting the "don't eat me signal" is a prognostic factor in diffuse large B-cell lymphoma.

Ryo Kazama1,2, Hiroaki Miyoshi1, Mai Takeuchi1, Kohta Miyawaki1,3, Kazutaka Nakashima1, Noriaki Yoshida1,4, Keisuke Kawamoto5, Eriko Yanagida1, Kyohei Yamada1, Takeshi Umeno1, Takaharu Suzuki1,5, Koji Kato3, Jun Takizawa5, Masao Seto1, Koichi Akashi3, Koichi Ohshima1.   

Abstract

The interaction between CD47 and signal-regulatory protein-α (SIRPα) inhibits phagocytosis, thus affecting the clinical outcomes of neoplastic diseases. Although CD47 upregulation is associated with poor prognosis in several malignancies, the effect of SIRPα expression and its coexpression with CD47 remains unclear. This study aimed to investigate the clinicopathologic effect of CD47 and SIRPα expression in diffuse large B-cell lymphoma (DLBCL). Immunostaining of 120 biopsy samples showed that CD47 is primarily expressed in tumor cells, whereas SIRPα is expressed in nonneoplastic stromal cells, mostly macrophages. CD47high cases showed higher MYC protein expression and lower MYC translocation. The SIRPαhigh cases presented significantly shorter overall survival (OS) and progression-free survival (PFS) than SIRPαlow cases in the activated B-cell (ABC) subtype of DLBCL (P = .04 and P = .02, respectively). Both CD47high and SIRPαhigh presented significantly shorter OS and PFS than other cases among all DLBCL patients (P = .01 and P = .004, respectively), and the ABC type (P = .04 and P = .008, respectively) but not the germinal center B-cell type. Both CD47high and SIRPαhigh yielded a constant independent prognostic value for OS and PFS in multivariate analysis (hazard ratio [HR], 2.93; 95% confidence interval [CI], 1.20-7.43; P = .02; and HR, 2.87; 95% CI, 1.42-5.85; P = .003, respectively). To the best of our knowledge, this is the first study to report that combinatorial CD47 and SIRPα expression is a potential independent prognostic factor for DLBCL. Evaluation of CD47 and SIRPα expression could be useful before CD47 blockade therapy.
© 2020 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

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Keywords:  hematology; immunohistochemistry; non-Hodgkin lymphoma; pathology; prognosis

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Year:  2020        PMID: 32342603      PMCID: PMC7385345          DOI: 10.1111/cas.14437

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


INTRODUCTION

Diffuse large B‐cell lymphoma (DLBCL) is the most prevalent histologic subtype of non‐Hodgkin lymphomas (NHLs), accounting for 25%‐35% of NHL cases. Although a subset of patients could be successfully treated with regimens including anti‐CD20 Abs, the median overall survival (OS) among patients with refractory DLBCL is 6 months. Gene expression profiling studies have reported distinct expression profiles in both tumor cells and the tumor microenvironment, providing novel insights into the prognostic prediction or potential novel therapies for DLBCL. , , Immunotherapy, including immune checkpoint inhibitors or chimeric antigen receptor T cells, is a potentially novel approach for treating DLBCL. CD47, originally reported as an integrin‐associated protein, constitutes the “don’t eat me signal” in numerous cell types. , , Signal‐regulatory protein‐α (SIRPα), a CD47 ligand, is expressed on myeloid cells, including monocytes, macrophages, and granulocytes. , , The CD47‐SIRPα interaction initiates a dephosphorylation cascade that inhibits phagocytosis. , , CD47 is overexpressed in different cancers, preventing tumor cell phagocytosis and promoting tumor progression. , , , , Numerous methods and agents targeting the CD47‐SIRPα interaction are under investigation. CD47 mRNA upregulation is associated with poor prognosis in NHL, including DLBCL. An anti‐CD47 Ab is reportedly safe and induces durable complete responses in patients with relapsed or refractory DLBCL. Detailed analysis of the clinicopathologic characteristics of CD47 expression in DLBCL is required to determine the effectiveness of anti‐CD47 therapies. Furthermore, SIRPα expression in the tumor microenvironment in DLBCL has not been widely examined. In this study, we retrospectively investigated CD47 and SIRPα expression in DLBCL and evaluated the association between their expression and the clinicopathologic features of DLBCL.

MATERIALS AND METHODS

Patients and samples

We investigated 120 cases of DLBCL, 6 cases of double‐hit lymphoma (DHL), and 2 cases of triple‐hit lymphoma (THL) from 2005 to 2018 newly diagnosed at the Department of Pathology, Kurume University and treated by experienced hematologists at institutions including Kurume University, Kyushu University, and Niigata University. All cases were reviewed by hematopathologists (KO and HM) and diagnosed in accordance with the WHO classification. Double‐hit lymphoma includes high‐grade B‐cell lymphoma with MYC and BCL2 rearrangement. Triple‐hit lymphoma is composed of B‐cell lymphoma with translocation of MYC, BCL2, and BCL6. Cases of recurrent lymphoma or indolent lymphoma were not included. Thirty‐three cases of extranodal DLBCL were included. A tissue microarray containing 120 samples from these patients in a formalin‐fixed paraffin block was prepared, with each sample occupying a 2‐mm diameter space. Clinical data were obtained through reviewing medical charts. The use of materials and clinical information was approved by the Research Ethics Committee of Kurume University in accordance with the tenets of the Declaration of Helsinki.

Classification of DLBCL patients based on CD47 and SIRPα expression

Primary Abs used for immunohistochemical (IHC) staining were anti‐CD47 Ab (SP279, 1:400 dilution, ab226837; Abcam) and anti‐SIRPα/SHPS1 Ab (D6I3M, 1:200 dilution, 13 379; Cell Signaling Technology). Immunohistochemical staining was carried out using 2.5‐µm thick, formalin‐fixed, paraffin‐embedded tissue sections from the tissue microarray of patient samples, except for cases of DHL and THL, for which IHC staining was undertaken using whole sections. CD47 and SIRPα were primarily localized on the membrane and/or cytoplasm of tumor cells and stromal cells, respectively. The positive rate of CD47 expression in tumor cells and number of nonmalignant stromal cells expressing SIRPα were evaluated in a representative high‐power field, including the hotspot of CD47 or SIRPα expression (Figure 1). Patients with DLBCL were categorized in accordance with the patterns of CD47 and SIRPα expression. The cut‐off values for CD47 and SIPRα were defined as the median for each protein.
Figure 1

Representative immunohistochemical analysis of CD47 and signal‐regulatory protein‐α (SIRPα) expression in diffuse large B‐cell lymphoma (DLBCL). A, B, CD47low DLBCL. Neoplastic cells were negative for CD47. C, D, CD47high DLBCL. The plasma membranes and/or cytoplasm of neoplastic cells were positive for CD47 (brown staining). E, F, SIRPαlow DLBCL. The plasma membranes of neoplastic cells were negative for SIRPα. G, H, SIRPαhigh DLBCL. SIRPα‐positive nonmalignant stromal cells were observed. Most of those cells were morphologically consistent with monocyte‐derived cells, including macrophages. Some neoplastic cells were positive for SIRPα and excluded from enumeration. Original magnification, ×400 for all panels

Representative immunohistochemical analysis of CD47 and signal‐regulatory protein‐α (SIRPα) expression in diffuse large B‐cell lymphoma (DLBCL). A, B, CD47low DLBCL. Neoplastic cells were negative for CD47. C, D, CD47high DLBCL. The plasma membranes and/or cytoplasm of neoplastic cells were positive for CD47 (brown staining). E, F, SIRPαlow DLBCL. The plasma membranes of neoplastic cells were negative for SIRPα. G, H, SIRPαhigh DLBCL. SIRPα‐positive nonmalignant stromal cells were observed. Most of those cells were morphologically consistent with monocyte‐derived cells, including macrophages. Some neoplastic cells were positive for SIRPα and excluded from enumeration. Original magnification, ×400 for all panels

Immunohistochemical staining of other proteins

Paraffin‐embedded sections of each sample were subjected to IHC staining, using anti‐CD10 (56C6; Leica Microsystems), anti‐CD20 (L‐26; DakoCytomation), anti‐B‐cell lymphoma 2 (BCL2) (124; DakoCytomation), anti‐BCL6 (P1F6; Leica Microsystems), anti‐MUM1 (MUM1p; DakoCytomation), and anti‐c‐MYC (Y69; Abcam) Abs. Each case was considered as positive if more than approximately 30% neoplastic cells were positive, except for BCL2 and MYC, for which each case was considered positive if more than approximately 50% and 40% neoplastic cells were positive, respectively. Tumors coexpressing the MYC and BCL2 proteins were considered as double expressor lymphomas (DELs). Immunohistochemical staining was also undertaken with the anti‐CD68 Ab (KP‐1; DakoCytomation) as the panmacrophage marker and the anti‐CD163 Ab (10D6; Leica Microsystems) for the M2 macrophage. The number of CD68‐ and CD163‐positive cells was evaluated in a representative high‐power field corresponding to that of SIRPα.

Classification of DLBCL subtypes

The cell‐of‐origin of the tumors was established using the Hans algorithm : germinal center B‐cell (GCB) type or non‐GCB type, and the Lymph2Cx assay (NanoString Technologies) : GCB, activated B‐cell (ABC), or unclassified.

In situ hybridization for Epstein‐Barr virus‐encoded RNA

Epstein‐Barr virus (EBV) was detected by in situ hybridization with a fluorescein‐conjugated EBV peptide nucleic acid probe kit (DakoCytomation) following the manufacturer’s instructions. This probe was complementary to the 2 nuclear EBV‐encoded RNAs.

Fluorescence in situ hybridization

Fluorescence in situ hybridization was undertaken using 4‐μm tissue sections with the MYC FISH DNA Probe, Split Signal (Dako) as described previously. The slides were evaluated using a fluorescent microscope (BX51; Olympus). One hundred nuclei were scored, and cases were considered positive if more than 15% of the tumor cells showed a break‐apart signal.

Statistical analysis

Clinicopathologic characteristics were compared using the χ2 test or Fisher’s 2‐sided exact test. Pearson product‐moment correlation coefficient was used to determine the correlation between CD47 and SIRPα expression. The prognostic analyses included only patients who received rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R‐CHOP) or R‐CHOP‐like chemotherapy regimens. The end‐points of OS or progression‐free survival (PFS) were defined as the time to all‐cause mortality or relapse owing to DLBCL, respectively. Kaplan‐Meier analysis was carried out to estimate the OS and PFS distributions, and the log‐rank test was applied to identify significant differences. Univariate and multivariate Cox proportional regression models were used to evaluate the proposed prognostic factors. The variables included in the multivariate analysis were the DLBCL subtype, international prognostic index (IPI), MYC rearrangement, DEL, and CD47/SIRPα expression. , , , Results at P less than  .05 were considered significant. JMP version 13.0 software (SAS Institute) was used for statistical analysis.

RESULTS

Immunohistochemical analysis of CD47 and SIRPα in DLBCL

CD47 was expressed in tumor cells. Signal‐regulatory protein‐α was expressed primarily in nonneoplastic stromal cells, most of which contained ovoid nuclei and a rich cytoplasm morphologically consistent with monocyte‐derived cells, including macrophages. The median CD47‐positive rate was 70%, and the median number of SIRPα‐positive stromal cells was 108 (Figure 2). Complete evaluation of SIRPα expression in stromal cells was interrupted among patients with an extremely high positive rate of 80% or greater in tumor cells; thus, 5 cases were excluded from the analyses including evaluation of the SIRPα expression status. The correlation between CD47 and SIRPα expression was not significant (Figure 3; r 2 = .03, P = .06). Seventy‐one cases (71/120, 59%) had the positive rate of CD47 expression greater than or equal to the median, which were categorized as CD47high. In 57 cases (57/115, 50%), the number of SIRPα‐positive stromal cells was greater than the median, and thus were categorized as SIRPαhigh.
Figure 2

Histograms for immunohistochemistry in diffuse large B‐cell lymphoma. A, Distributions of the rate of CD47‐positive tumor cells. B, Distributions of the number of signal‐regulatory protein‐α (SIRPα)‐positive stromal cells. Cut‐off points are shown as the median. HPF, high power field

Figure 3

Correlation between the rate of CD47‐positive tumor cells and the number of signal‐regulatory protein‐α (SIRPα)‐positive stromal cells in diffuse large B‐cell lymphoma. The coefficient of determination was 0.03 (P = .06)

Histograms for immunohistochemistry in diffuse large B‐cell lymphoma. A, Distributions of the rate of CD47‐positive tumor cells. B, Distributions of the number of signal‐regulatory protein‐α (SIRPα)‐positive stromal cells. Cut‐off points are shown as the median. HPF, high power field Correlation between the rate of CD47‐positive tumor cells and the number of signal‐regulatory protein‐α (SIRPα)‐positive stromal cells in diffuse large B‐cell lymphoma. The coefficient of determination was 0.03 (P = .06) The mean ratio of SIRPα‐positive stromal cells to CD68‐ and CD163‐positive cells was 0.81 and 3.19, respectively. The number of SIRPα‐positive stromal cells was significantly correlated with the number of CD68‐ and CD163‐positive cells (Figure 4; r 2 = .46, P < .0001 and r 2 = .35, P < .0001, respectively).
Figure 4

Correlation among the number of signal‐regulatory protein‐α (SIRPα)‐positive stromal, CD68‐positive, and CD163‐positive cells in diffuse large B‐cell lymphoma. A, Correlation between the number of SIRPα‐positive stromal cells and the number of CD68‐positive cells. The coefficient of determination was 0.46 (P < .0001). B, Correlation between the number of SIRPα‐positive stromal cells and the number of CD163‐positive cells. The coefficient of determination was 0.35 (P < .0001). HPF, high power field

Correlation among the number of signal‐regulatory protein‐α (SIRPα)‐positive stromal, CD68‐positive, and CD163‐positive cells in diffuse large B‐cell lymphoma. A, Correlation between the number of SIRPα‐positive stromal cells and the number of CD68‐positive cells. The coefficient of determination was 0.46 (P < .0001). B, Correlation between the number of SIRPα‐positive stromal cells and the number of CD163‐positive cells. The coefficient of determination was 0.35 (P < .0001). HPF, high power field

Immunohistochemical analysis of CD47 and SIRPα in DHL and THL

In DHL cases, the CD47‐positive rate was 80% or more in 5 cases, and the number of SIRPα‐positive stromal cells was greater than 108 in 1 case. In THL cases, the CD47‐positive rate was 80% or more in 2 cases and the number of SIRPα‐positive stromal cells was less than 108 in 2 cases. The distribution of the CD47‐positive rate and the number of SIRPα‐positive stromal cells in cases of DHL and THL are shown in Figure 5.
Figure 5

Distributions of the rate of CD47‐positive tumor cells and the number of signal‐regulatory protein‐α (SIRPα)‐positive stromal cells in cases of double‐hit lymphoma (squares) and triple‐hit lymphoma (triangles). HPF, high power field

Distributions of the rate of CD47‐positive tumor cells and the number of signal‐regulatory protein‐α (SIRPα)‐positive stromal cells in cases of double‐hit lymphoma (squares) and triple‐hit lymphoma (triangles). HPF, high power field

Clinicopathologic comparison between CD47high and CD47low

Table 1 summarizes the statistical comparisons between CD47 expression patterns for different clinical parameters of patients with DLBCL. The number of male patients exceeded that of female patients in CD47low cases (P = .005). Based on Hans criteria and Lymph2Cx, the number of GC‐type DLBCL was lower in CD47high cases than in CD47low cases (P = .01 and P < .0001, respectively). In CD47low cases, a significantly larger number of cases with MYC translocation was detected (P = .03), whereas the number of MYC protein‐positive cases was significantly higher among CD47high cases (P = .04). The number of DELs was significantly higher in CD47high cases than in CD47low cases (P = .005). Significant differences were observed between the 2 groups following initial therapy (P = .004). Six cases were treated with chemotherapy other than the R‐CHOP or R‐CHOP‐like regimen, including in CD47low cases: 2 patients were treated with rituximab, cyclophosphamide, vincristine, and prednisone; 1 patient was given rituximab, etoposide, prednisone, vincristine, cyclophosphamide, and doxorubicin; 1 patient was given cyclophosphamide, doxorubicin, and vincristine; 1 patient was given rituximab and etoposide; and 1 patient was given rituximab and etoposide. Other characteristics, including IPI and the rate of complete response to initial therapy, did not significantly differ between groups.
Table 1

Clinicopathologic comparison among CD47 expression patterns in diffuse large B‐cell lymphoma

CharacteristicCD47high (n = 71)CD47low (n = 49) P value
No.%No.%
Sex (male/female)34/3748/5236/1373/270.005
Age (y)
Median7268
Range29‐8723‐85
>6057/698331/44700.13
ECOG PS > 118/66279/41220.53
Extranodal sites > 14/6968/43190.06*
Ann Arbor stage > 237/655722/41540.74
IPI risk group0.62
Low (0‐2)31/664723/4255
High (3‐5)35/665319/4245
Hans criteria0.01
GCB27/684029/4663
Non‐GCB41/686017/4637
Lymph2Cx<0.0001
GCB19/712732/4965
ABC36/715110/4920
Unclassified16/71237/4914
MYC translocation, positive3/7148/48170.03*
MYC protein, positive38/715417/49350.04
DEL22/71315/49100.005
EBER‐ISH, positive2/7132/4941.00*
Treatment0.004*
R‐CHOP/R‐CHOP‐like70/719942/4986
Other chemotherapies0/7106/4912
RT alone1/7111/492
Treatment response0.91
CR/CRu53/707636/4777
Not CR17/702411/4723

Abbreviations: ABC, activated B‐cell; CR, complete response; CRu, uncertain complete response; DEL, double expressor lymphoma; EBER‐ISH, in situ hybridization for Epstein‐Barr virus‐encoded RNA; GCB, germinal center B‐cell; IPI, international prognostic index; PS, performance status; R‐CHOP, rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone; RT, radiotherapy.

Fisher’s exact test.

Clinicopathologic comparison among CD47 expression patterns in diffuse large B‐cell lymphoma Abbreviations: ABC, activated B‐cell; CR, complete response; CRu, uncertain complete response; DEL, double expressor lymphoma; EBER‐ISH, in situ hybridization for Epstein‐Barr virus‐encoded RNA; GCB, germinal center B‐cell; IPI, international prognostic index; PS, performance status; R‐CHOP, rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone; RT, radiotherapy. Fisher’s exact test.

Overall survival and PFS curves in accordance with CD47 expression

The OS and PFS curves in patients with DLBCL treated with R‐CHOP or R‐CHOP‐like regimens are shown in Figure 6A,B. The results of subgroup analyses for Lymph2Cx are also shown, with ABC in Figure 6C,D, and GCB in Figure 6E,F. No significant differences in OS and PFS were observed in accordance with the positive rate of CD47.
Figure 6

Overall survival (OS) and progression‐free survival (PFS) of diffuse large B‐cell lymphoma (DLBCL) patients among the CD47 expression groups. A, OS of all patients. B, PFS of all patients. C, OS of activated B‐cell (ABC) subtype. D, PFS of ABC subtype. E, OS of germinal center B‐cell (GCB) subtype. F, PFS of GCB subtype. There were no significant differences in OS or PFS according to CD47 expression

Overall survival (OS) and progression‐free survival (PFS) of diffuse large B‐cell lymphoma (DLBCL) patients among the CD47 expression groups. A, OS of all patients. B, PFS of all patients. C, OS of activated B‐cell (ABC) subtype. D, PFS of ABC subtype. E, OS of germinal center B‐cell (GCB) subtype. F, PFS of GCB subtype. There were no significant differences in OS or PFS according to CD47 expression

Clinicopathologic comparison between SIRPαhigh and SIRPαlow

Table 2 summarizes the statistical comparisons between SIRPα expression patterns for different clinical parameters of patients with DLBCL. Pathological characteristics including Hans criteria, Lymph2Cx, and the positivity of MYC translocation or MYC protein, did not significantly differ between groups. No significant differences were observed between the 2 groups upon initial therapy. Other characteristics, including IPI and the rate of complete response to initial therapy, did not significantly differ between groups.
Table 2

Clinicopathologic comparison among signal‐regulatory protein‐α (SIRPα) expression patterns in diffuse large B‐cell lymphoma

CharacteristicSIRPαhigh (n = 57)SIRPαlow (n = 58) P value
No.%No.%
Sex (male/female)33/2458/4233/2557/430.91
Age (y)
Median7270.5
Range29‐8723‐85
>6039/527545/56800.50
ECOG PS > 115/503011/53210.28
Extranodal sites > 15/51106/56111.00
Ann Arbor stage > 228/466128/55510.32
IPI risk group0.38
Low (0‐2)23/504629/5355
High (3‐5)27/505424/5345
Hans criteria0.91
GCB25/534727/5648
Non‐GCB28/535329/5652
Lymph2Cx0.26
GCB19/573328/5848
ABC25/574420/5834
Unclassified13/572310/5817
MYC translocation, positive5/5796/57111.00*
MYC protein, positive26/574629/58500.64
DEL13/572314/58240.87
EBER‐ISH, positive2/5742/5831.00*
Treatment0.26*
R‐CHOP/R‐CHOP‐like51/578956/5897
Other chemotherapies4/5772/583
RT alone2/5740/580
Treatment response0.66
CR/CRu41/567343/5677
Not CR15/562713/5623

Abbreviations: ABC, activated B‐cell; CR, complete response; CRu, uncertain complete response; DEL, double expressor lymphoma; EBER‐ISH, in situ hybridization for Epstein‐Barr virus‐encoded RNA; GCB, germinal center B‐cell; IPI, international prognostic index; PS, performance status; R‐CHOP, rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone; RT, radiotherapy.

Fisher’s exact test.

Clinicopathologic comparison among signal‐regulatory protein‐α (SIRPα) expression patterns in diffuse large B‐cell lymphoma Abbreviations: ABC, activated B‐cell; CR, complete response; CRu, uncertain complete response; DEL, double expressor lymphoma; EBER‐ISH, in situ hybridization for Epstein‐Barr virus‐encoded RNA; GCB, germinal center B‐cell; IPI, international prognostic index; PS, performance status; R‐CHOP, rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone; RT, radiotherapy. Fisher’s exact test.

Overall survival and PFS curves in accordance with SIRPα expression

The OS and PFS curves in patients with DLBCL treated with R‐CHOP or R‐CHOP‐like regimens are shown in Figure 7A,B. Subgroup analyses for Lymph2Cx are also shown, with ABC in Figure 7C,D, and GCB in Figure 7E,F. In the ABC subtype, the OS and PFS of the SIRPαhigh cases were significantly inferior to those of SIRPαlow cases (P = .04 and P = .02, respectively). No significant differences in OS and PFS were observed in accordance with SIRPα expression in all cases, nor the GCB subtype with R‐CHOP or R‐CHOP‐like treatment.
Figure 7

Overall survival (OS) and progression‐free survival (PFS) of diffuse large B‐cell lymphoma (DLBCL) patients among the signal‐regulatory protein‐α (SIRPα) expression groups. A, OS of all patients. B, PFS of all patients. C, OS of activated B‐cell (ABC) subtype. D, PFS of ABC subtype. E, OS of germinal center B‐cell (GCB) subtype. F, PFS of GCB subtype. Significantly worse OS and PFS of SIRPαhigh were observed in ABC subtype (P = .04 and P = .02, respectively). There were no significant differences in OS or PFS according to SIRPα expression in all patients and in GCB subtype

Overall survival (OS) and progression‐free survival (PFS) of diffuse large B‐cell lymphoma (DLBCL) patients among the signal‐regulatory protein‐α (SIRPα) expression groups. A, OS of all patients. B, PFS of all patients. C, OS of activated B‐cell (ABC) subtype. D, PFS of ABC subtype. E, OS of germinal center B‐cell (GCB) subtype. F, PFS of GCB subtype. Significantly worse OS and PFS of SIRPαhigh were observed in ABC subtype (P = .04 and P = .02, respectively). There were no significant differences in OS or PFS according to SIRPα expression in all patients and in GCB subtype

Overall survival and PFS curves between CD47 and SIRPα expression and others

For patients with DLBCL treated with R‐CHOP or R‐CHOP‐like regimens, the OS and PFS curves are shown in Figure 8A,B. Thirty‐six cases (36/108, 34%) were categorized as CD47high/SIRPαhigh, whereas 71 cases (71/108, 66%) were categorized as others, including CD47high/SIRPαlow, CD47low/SIRPαhigh, and CD47low/SIRPαlow. The OS and PFS of the CD47high/SIRPαhigh group were significantly inferior to those of the other groups (P = .01 and P = .004, respectively). In the ABC subtype, significantly inferior OS and PFS were observed in the CD47high/SIRPαhigh group compared to that in the other groups (Figure 8C,D; P = .04 and P = .008, respectively). No significant differences in OS or PFS were observed in the GCB subtype (Figure 1, 4, 8
Figure 8

Overall survival (OS) and progression‐free survival (PFS) of diffuse large B‐cell lymphoma (DLBCL) patients among the CD47/signal‐regulatory protein‐α (SIRPα) expression groups. A, OS of all patients. B, PFS of all patients. C, OS of activated B‐cell (ABC) subtype. D, PFS of ABC subtype. E, OS of germinal center B‐cell (GCB) subtype. F, PFS of GCB subtype. Significantly worse OS and PFS of CD47high/SIRPαhigh were observed in all patients (P = .01 and P = .004, respectively) and in ABC subtype (P = .04 and P = .008, respectively). There were no significant differences in OS or PFS according to CD47/SIRPα expression in GCB subtype. “Others” include CD47high/SIRPαlow, CD47low/SIRPαhigh, and CD47low/SIRPαlow

E,F). Overall survival (OS) and progression‐free survival (PFS) of diffuse large B‐cell lymphoma (DLBCL) patients among the CD47/signal‐regulatory protein‐α (SIRPα) expression groups. A, OS of all patients. B, PFS of all patients. C, OS of activated B‐cell (ABC) subtype. D, PFS of ABC subtype. E, OS of germinal center B‐cell (GCB) subtype. F, PFS of GCB subtype. Significantly worse OS and PFS of CD47high/SIRPαhigh were observed in all patients (P = .01 and P = .004, respectively) and in ABC subtype (P = .04 and P = .008, respectively). There were no significant differences in OS or PFS according to CD47/SIRPα expression in GCB subtype. “Others” include CD47high/SIRPαlow, CD47low/SIRPαhigh, and CD47low/SIRPαlow

Univariate and multivariate analyses of OS and PFS in patients with DLBCL in accordance with CD47 and SIRPα expression

Univariate analysis identified the following variables as prognostic factors for OS: high IPI (hazard ratio [HR], 3.64; 95% confidence interval [CI], 1.51‐10.13; P = .004), DEL (HR, 2.34; 95% CI, 1.05‐5.09; P = .04), and CD47high/SIRPαhigh (HR, 2.68; 95% CI, 1.20‐6.12; P = .02) (Table 3). The following variables were identified as prognostic factors for PFS: high IPI (HR, 2.26; 95% CI, 1.17‐4.53; P = .02); and CD47high/SIRPαhigh (HR, 2.46; 95% CI, 1.29‐4.68; P = .007) (Table 4).
Table 3

Prognostic factors affecting the overall survival of patients with diffuse large B‐cell lymphoma

VariableUnivariate analysisMultivariate analysis
HR (95% CI) P valueHR (95% CI) P value
Lymph2Cx ABC (vs GCB, unclassified)1.69 (0.78‐3.72)0.180.92 (0.27‐3.05)0.89
IPI high (3‐5) (vs low [0‐2])3.64 (1.51‐10.13)0.0043.68 (1.39‐10.87)0.008
MYC translocation positive (vs negative)3.13 (0.91‐8.25)0.071.13 (0.17‐4.69)0.88
DEL (vs non‐DEL)2.34 (1.05‐5.09)0.042.27 (0.76‐7.22)0.14
CD47high/SIRPαhigh (vs others)2.68 (1.20‐6.12)0.022.93 (1.20‐7.43)0.02

Abbreviations: ABC, activated B‐cell; CI, confidence interval; DEL, double expressor lymphoma; GCB, germinal center B‐cell; HR, hazard ratio; IPI, international prognostic index.

Including CD47high/signal‐regulatory protein‐α (SIRPα)low, CD47low/SIRPαhigh, and CD47low/SIRPαlow.

Table 4

Prognostic factors affecting the progression‐free survival of patients with diffuse large B‐cell lymphoma

VariableUnivariate analysisMultivariate analysis
HR (95% CI) P valueHR (95% CI) P value
Lymph2Cx ABC (vs GCB, unclassified)1.61 (0.87‐3.00)0.131.09 (0.44‐2.64)0.85
IPI high (3‐5) (vs low [0‐2])2.26 (1.17‐4.53)0.022.19 (1.04‐4.69)0.04
MYC translocation positive (vs negative)2.60 (0.89‐6.10)0.081.27 (0.28‐4.12)0.72
DEL (vs non‐DEL)1.84 (0.93‐3.47)0.081.55 (0.64‐3.80)0.33
CD47high/SIRPαhigh (vs others)2.46 (1.29‐4.68)0.0072.87 (1.42‐5.85)0.003

Abbreviations: ABC, activated B‐cell; CI, confidence interval; DEL, double expressor lymphoma; GCB, germinal center B‐cell; IPI, international prognostic index.

†Including CD47high/signal‐regulatory protein‐α (SIRPα)low, CD47low/SIRPαhigh, and CD47low/SIRPαlow.

Prognostic factors affecting the overall survival of patients with diffuse large B‐cell lymphoma Abbreviations: ABC, activated B‐cell; CI, confidence interval; DEL, double expressor lymphoma; GCB, germinal center B‐cell; HR, hazard ratio; IPI, international prognostic index. Including CD47high/signal‐regulatory protein‐α (SIRPα)low, CD47low/SIRPαhigh, and CD47low/SIRPαlow. Prognostic factors affecting the progression‐free survival of patients with diffuse large B‐cell lymphoma Abbreviations: ABC, activated B‐cell; CI, confidence interval; DEL, double expressor lymphoma; GCB, germinal center B‐cell; IPI, international prognostic index. †Including CD47high/signal‐regulatory protein‐α (SIRPα)low, CD47low/SIRPαhigh, and CD47low/SIRPαlow. Multivariate analysis based on CD47 and SIRPα expression revealed that CD47high/SIRPαhigh is a significant independent prognostic factor for OS (HR, 2.93; 95% CI, 1.20‐7.43; P = .02) (Table 3) and PFS (HR, 2.87; 95% CI, 1.42‐5.85; P = .003) (Table 4).

DISCUSSION

The present study shows that patients with DLBCL with a high expression of SIRPα on stromal cells and those with coexpression of CD47 on DLBCL tumor cells and SIRPα on stromal cells have a poor prognosis, which was observed only in the ABC subtype of DLBCL and not in the GCB subtype. Coexpression of CD47 and SIRPα was also an independent poor prognostic factor for OS and PFS in patients with DLBCL. Numerous previous studies reported that CD47 upregulation on tumor cells is associated with poor prognosis in various neoplasms, including DLBCL; however, few studies have investigated SIRPα expression in the tumor microenvironment. , , , , , In the current study, upregulation of CD47 on tumor cells alone did not predict poor prognosis, but upregulation of SIRPα on stromal cells, mostly macrophages, and combinatorial upregulation of CD47 and SIRPα were well correlated with poor outcomes. Macrophages and other phagocytes can inhibit tumor growth through phagocytosis and play an important role in Ab‐dependent phagocytosis during treatment with anti‐CD20 Abs, a key component of DLBCL treatment. , The interaction of CD47 on tumor cells with SIRPα on phagocytes inhibits this immune function, thus enabling tumor cells to evade phagocytosis and leading to tumor growth and progression. , , In the present study, a significantly worse prognosis was observed in patients with DLBCL with a high SIRPα expression on stromal cells, most of which were morphologically consistent with monocyte‐derived cells, including macrophages. Correlation among SIRPα, CD68, and CD163 expression was also observed, suggesting that SIRPα‐positive cells accounted for some parts of CD68‐ and CD168‐positive macrophages. Tumor‐infiltrating macrophages, also known as tumor‐associated macrophages (TAMs), tend to acquire the M2 immunosuppressive phenotype, rather than the M1 phenotype, which has strong tumoricidal activity. Several studies reported that an increased number of CD163‐positive M2 type TAMs is associated with poor prognosis in DLBCL. , , An in vitro study using bone marrow‐derived macrophages reported M2 polarization with SIRPα overexpression and M1 polarization with interference of CD47 or SIRPα signaling, suggesting that the interaction between SIRPα and CD47 polarizes macrophages to the M2 phenotype. A study of endometrial cancer reported that CD47 blockade results in increased phagocytosis among M2 macrophages without affecting the function of M1 macrophages, indicating the importance of the CD47‐SIRPα interaction in M2 type TAMs. Our results regarding the association between high expression of SIRPα and poor therapeutic outcomes in DLBCL can be explained on the basis of the M2 type TAM‐rich microenvironment provided by the interaction between CD47 and SIRPα. The OS and PFS of patients with DLBCL with a high expression of both CD47 and SIRPα were significantly inferior to those of the other groups in the present study. These inferior results were also observed in the ABC subtype but not in the GCB subtype. Our results were partly consistent with those of a study showing that the negative effect of high CD47 expression on OS after R‐CHOP treatment was only evident in the non‐GCB subtype of DLBCL. The ABC or non‐GCB subtypes of DLBCL show significantly poorer outcomes than the GCB subtype. , Different subtypes show different gene profiles in the tumor and its microenvironment. , A significant correlation between the non‐GCB subtype and high‐M2 type TAM density was also reported. The interaction between CD47 and SIRPα could influence the prognostic difference between DLBCL subtypes. CD47 is expressed on numerous cell types in all tissues, modulating various cellular functions through interactions with other proteins, including SIRPα. The transcription factor MYC directly interacts with the promoters of CD47. In a study of DLBCL cell lines, high levels of surface CD47 were observed in DHL, which was reduced by transcriptional repression of MYC. MYC translocation reportedly occurs in approximately 10% of lymphomas with DLBCL‐like morphology, and their presence is associated with poor outcomes, whereas some of these tumors are classified as high‐grade B‐cell lymphoma when accompanied by BCL2 and/or BCL6 translocations. , , , CD47 upregulation could partly account for the aggressiveness of DLBCL with high expression of MYC. In the present study, high expression of CD47 in tumor cells was correlated with positivity for the MYC protein, not MYC translocation, which might differ among the subtypes of DLBCL. Novel treatment methods targeting the CD47‐SIRPα interaction have been intensively investigated. An anti‐CD47 Ab, Hu5F9‐G4, in combination with rituximab displayed promising activity against relapsed or refractory DLBCL or follicular lymphoma. The mechanisms underlying the antitumor activity of the Ab have been explained based on synergistic macrophage‐mediated, Ab‐dependent cellular phagocytosis with rituximab. , , Considering the important role of macrophages expressing SIRPα in this novel treatment, evaluation of SIRPα expression along with CD47 could help predict treatment responsiveness and provide insights into the therapeutic indications. There were some limitations to the present study. First, although the results of the present study are significant, the number of cases was relatively small. Further studies of a large cohort are warranted to validate our results. Second, cut‐off points for CD47 and SIRPα expression have not been determined. Although we considered the median as the cut‐off for positive expression, previous studies adopted other criteria to evaluate positivity in IHC analysis. , Further studies are required to determine the appropriate threshold expression levels on IHC. Third, evaluating the expression of proteins with the immunoenzyme method of IHC, the cases with an extremely high SIRPα expression on tumor cells were excluded from the present study. Although the essential result of the present study could not change by this exclusion, considering the small proportion of those cases, further studies using other methods are warranted. Finally, we did not count the number of stromal cells without expression of SIRPα. Thus, we could not determine whether the small number of cells expressing SIRPα indicated a small overall number of stromal cells or a small proportion of SIRPα‐positive cells. Although correlation among the expression of SIRPα, CD68, and CD163 was revealed, further studies evaluating the types of TAMs or other stromal cells expressing SIRPα will improve the understanding of the association between its expression and the tumor microenvironment in DLBCL. In conclusion, we showed that higher expression levels of CD47 on tumor cells and SIRPα on stromal cells indicate a poor prognosis in DLBCL, highlighting the importance of the association between tumor cells and stromal cells in DLBCL. Evaluation of CD47 and SIRPα expression could be useful before treatment with CD47 blockade therapy. Additional detailed studies are required to determine the clinical and biological significance of the CD47‐SIRPα interaction in DLBCL.

CONFLICT OF INTEREST

The authors have no conflict of interest.
  37 in total

1.  Outcomes in refractory diffuse large B-cell lymphoma: results from the international SCHOLAR-1 study.

Authors:  Michael Crump; Sattva S Neelapu; Umar Farooq; Eric Van Den Neste; John Kuruvilla; Jason Westin; Brian K Link; Annette Hay; James R Cerhan; Liting Zhu; Sami Boussetta; Lei Feng; Matthew J Maurer; Lynn Navale; Jeff Wiezorek; William Y Go; Christian Gisselbrecht
Journal:  Blood       Date:  2017-08-03       Impact factor: 22.113

2.  Determining cell-of-origin subtypes of diffuse large B-cell lymphoma using gene expression in formalin-fixed paraffin-embedded tissue.

Authors:  David W Scott; George W Wright; P Mickey Williams; Chih-Jian Lih; William Walsh; Elaine S Jaffe; Andreas Rosenwald; Elias Campo; Wing C Chan; Joseph M Connors; Erlend B Smeland; Anja Mottok; Rita M Braziel; German Ott; Jan Delabie; Raymond R Tubbs; James R Cook; Dennis D Weisenburger; Timothy C Greiner; Betty J Glinsmann-Gibson; Kai Fu; Louis M Staudt; Randy D Gascoyne; Lisa M Rimsza
Journal:  Blood       Date:  2014-01-07       Impact factor: 22.113

Review 3.  The CD47-SIRPα signaling axis as an innate immune checkpoint in cancer.

Authors:  Hanke L Matlung; Katka Szilagyi; Neil A Barclay; Timo K van den Berg
Journal:  Immunol Rev       Date:  2017-03       Impact factor: 12.988

4.  CD47 Expression Defines Efficacy of Rituximab with CHOP in Non-Germinal Center B-cell (Non-GCB) Diffuse Large B-cell Lymphoma Patients (DLBCL), but Not in GCB DLBCL.

Authors:  Yuan He; Janneke de Boer; Edwin Bremer; Tom van Meerten; Renée Bouwstra; Hilde Kooistra; Ewa Cendrowicz; Rudolf S N Fehrmann; Emanuele Ammatuna; Christine Zu Eulenburg; Marcel Nijland; Gerwin Huls
Journal:  Cancer Immunol Res       Date:  2019-08-13       Impact factor: 11.151

5.  MYC regulates the antitumor immune response through CD47 and PD-L1.

Authors:  Stephanie C Casey; Ling Tong; Yulin Li; Rachel Do; Susanne Walz; Kelly N Fitzgerald; Arvin M Gouw; Virginie Baylot; Ines Gütgemann; Martin Eilers; Dean W Felsher
Journal:  Science       Date:  2016-03-10       Impact factor: 47.728

6.  Preparation of Cells from Formalin-Fixed, Paraffin-Embedded Tissue for Use in Fluorescence In Situ Hybridization (FISH) Experiments.

Authors:  Stanislawa Weremowicz
Journal:  Curr Protoc Hum Genet       Date:  2015-01-20

7.  Overexpression of CD47 predicts poor prognosis and promotes cancer cell invasion in high-grade serous ovarian carcinoma.

Authors:  Yinuo Li; Shuhua Lu; Ying Xu; Chunping Qiu; Chengjuan Jin; Yuqiong Wang; Zhaojian Liu; Beihua Kong
Journal:  Am J Transl Res       Date:  2017-06-15       Impact factor: 4.060

8.  CD47 Blockade by Hu5F9-G4 and Rituximab in Non-Hodgkin's Lymphoma.

Authors:  Ranjana Advani; Ian Flinn; Leslie Popplewell; Andres Forero; Nancy L Bartlett; Nilanjan Ghosh; Justin Kline; Mark Roschewski; Ann LaCasce; Graham P Collins; Thu Tran; Judith Lynn; James Y Chen; Jens-Peter Volkmer; Balaji Agoram; Jie Huang; Ravindra Majeti; Irving L Weissman; Chris H Takimoto; Mark P Chao; Sonali M Smith
Journal:  N Engl J Med       Date:  2018-11-01       Impact factor: 91.245

9.  Pre-Clinical Development of a Humanized Anti-CD47 Antibody with Anti-Cancer Therapeutic Potential.

Authors:  Jie Liu; Lijuan Wang; Feifei Zhao; Serena Tseng; Cyndhavi Narayanan; Lei Shura; Stephen Willingham; Maureen Howard; Susan Prohaska; Jens Volkmer; Mark Chao; Irving L Weissman; Ravindra Majeti
Journal:  PLoS One       Date:  2015-09-21       Impact factor: 3.240

10.  Targeting MYC activity in double-hit lymphoma with MYC and BCL2 and/or BCL6 rearrangements with epigenetic bromodomain inhibitors.

Authors:  Weiping Li; Shiv K Gupta; Weiguo Han; Ryan A Kundson; Sara Nelson; Darlene Knutson; Patricia T Greipp; Sherine F Elsawa; Eduardo M Sotomayor; Mamta Gupta
Journal:  J Hematol Oncol       Date:  2019-07-09       Impact factor: 17.388

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  9 in total

1.  CD47 (Cluster of Differentiation 47).

Authors:  Sukhbir Kaur; Jeffrey S Isenberg; David D Roberts
Journal:  Atlas Genet Cytogenet Oncol Haematol       Date:  2021

2.  Combination of CD47 and signal-regulatory protein-α constituting the "don't eat me signal" is a prognostic factor in diffuse large B-cell lymphoma.

Authors:  Ryo Kazama; Hiroaki Miyoshi; Mai Takeuchi; Kohta Miyawaki; Kazutaka Nakashima; Noriaki Yoshida; Keisuke Kawamoto; Eriko Yanagida; Kyohei Yamada; Takeshi Umeno; Takaharu Suzuki; Koji Kato; Jun Takizawa; Masao Seto; Koichi Akashi; Koichi Ohshima
Journal:  Cancer Sci       Date:  2020-06-29       Impact factor: 6.716

3.  Expression and Prognostic Significance of CD47-SIRPA Macrophage Checkpoint Molecules in Colorectal Cancer.

Authors:  Akane Sugimura-Nagata; Akira Koshino; Satoshi Inoue; Aya Matsuo-Nagano; Masayuki Komura; Miho Riku; Hideaki Ito; Akihito Inoko; Hideki Murakami; Masahide Ebi; Naotaka Ogasawara; Toyonori Tsuzuki; Satoru Takahashi; Kunio Kasugai; Kenji Kasai; Shingo Inaguma
Journal:  Int J Mol Sci       Date:  2021-03-07       Impact factor: 5.923

4.  Expression of CD47 and SIRPα Macrophage Immune-Checkpoint Pathway in Non-Small-Cell Lung Cancer.

Authors:  Alexandra Giatromanolaki; Achilleas Mitrakas; Ioannis Anestopoulos; Andreas Kontosis; Ioannis M Koukourakis; Aglaia Pappa; Mihalis I Panayiotidis; Michael I Koukourakis
Journal:  Cancers (Basel)       Date:  2022-04-01       Impact factor: 6.639

5.  CD24 is a surrogate for 'immune-cold' phenotype in aggressive large B-cell lymphoma.

Authors:  Morihiro Higashi; Shuji Momose; Natsuko Takayanagi; Yuka Tanaka; Tomoe Anan; Takahisa Yamashita; Jun Kikuchi; Michihide Tokuhira; Masahiro Kizaki; Jun-Ichi Tamaru
Journal:  J Pathol Clin Res       Date:  2022-03-14

Review 6.  Overcoming tumor resistance mechanisms in CAR-NK cell therapy.

Authors:  Antonio Valeri; Almudena García-Ortiz; Eva Castellano; Laura Córdoba; Elena Maroto-Martín; Jessica Encinas; Alejandra Leivas; Paula Río; Joaquín Martínez-López
Journal:  Front Immunol       Date:  2022-08-03       Impact factor: 8.786

7.  Tumor microenvironment in giant cell tumor of bone: evaluation of PD-L1 expression and SIRPα infiltration after denosumab treatment.

Authors:  Yu Toda; Kenichi Kohashi; Hidetaka Yamamoto; Shin Ishihara; Yoshihiro Ito; Yosuke Susuki; Kengo Kawaguchi; Daisuke Kiyozawa; Dai Takamatsu; Izumi Kinoshita; Yuichi Yamada; Junki Maehara; Atsushi Kimura; Sadafumi Tamiya; Kenichi Taguchi; Tomoya Matsunobu; Yoshihiro Matsumoto; Yasuharu Nakashima; Masaaki Mawatari; Yoshinao Oda
Journal:  Sci Rep       Date:  2021-07-20       Impact factor: 4.379

Review 8.  Therapy Strategy of CD47 in Diffuse Large B-Cell Lymphoma (DLBCL).

Authors:  Wenqi Zhang; Yanfeng Fan; Meng Li; Linqi Yang; Zhenya Zhang; Lihong Liu
Journal:  Dis Markers       Date:  2021-09-16       Impact factor: 3.434

9.  CD24, not CD47, negatively impacts upon response to PD-1/L1 inhibitors in non-small-cell lung cancer with PD-L1 tumor proportion score < 50.

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  9 in total

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