Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Mar 11.
Published in final edited form as: Histopathology. 2016 Jan 26;69(1):155–158. doi: 10.1111/his.12914

Expression of CD30 as a biomarker to predict response to brentuximab vedotin

Mina L Xu 1, Carlos Acevedo-Gadea 2, Stuart Seropian 2, Samuel G Katz 1
PMCID: PMC7064871  NIHMSID: NIHMS1561227  PMID: 26648051

Sir: CD30 is a transmembrane receptor in the tumour necrosis factor receptor superfamily, member 8 (TNFRSF8) that was first identified in the malignant Hodgkin and Reed-Sternberg (HRS) cells of classical Hodgkin lymphoma.1 Brentuximab vedotin (SGN-35; BV) is an antibody–drug conjugate used currently in the setting of CD30-positive relapsed or refractory lymphomas. This study demonstrates our experience of relative CD30 expression with tumour response to BV.

Biopsies were collected from all patients receiving BV at our institution. Most recent biopsies from tumour at the time of relapse were reviewed independently by two haematopathologists. Antigen retrieval was performed using a Ventana kit. Rabbit monoclonal antibody to CD30 (clone BerH2, 1:300; Epito-mics, Burlingame, CA, USA) was used.

The percentage of CD30-positive cells of total cellularity, the percentage of CD30-positive cells of the tumour population and the stain strength (mild, moderate, marked) were estimated. The association of each variable with either complete response (CR) or complete and partial response (PR) was evaluated using univariate logistic regression analysis. All calculations used SAS statistical analysis software (SAS Institute Inc., Cary, NC, USA). Two-tailed P-values <0.05 were considered significant.

Patient and tumour characteristics are listed in Table 1. All patients received BV as single agent at 1.8 mg/kg by intravenous infusion once every 3 weeks for a maximum of 16 cycles or until disease progression or toxicity. Clinical response was assessed at average intervals of 3 weeks, 8 weeks and 1 year after starting therapy.

Table 1.

Clinicopathological characteristics

Case Diagnosis Gender Age (years) Site of disease Marrow involvement Prior therapy Best response % CD30 overall % CD30 of tumour
Non-Hodgkin lymphomas
 1 AITL F 79 LN Positive CHOP/ICE/Denileukin diftitox/Pralatrexate CR 0 0
 2 AITL M 62 LN Negative CHOP CR 20 35
 3 ALCL, ALK+ M 80 Soft tissue Positive Denileukin diftitox/XRT CR 8 95
 4 ALCL, ALK− M 24 LN Positive EPOCH/AutoSCT CR 15 100
 5 cALCL M 63 Tonsil Negative CHOP/methotrexate CR 18 95
 6 PTCL, NOS M 33 Skin Negative Gemcitabine/Romidepsin/Pralatrexate/EPOCH PR 0 0
 7 CTCL F 55 LN Negative Photopheresis/Targretin PR 50 70
 8 PTCL, NOS M 63 LN Positive CHOP/AlloSCT/Pralatrexate CR 5 10
 9 CTCL M 71 LN Negative Total skin irradiation/AlloSCT CR 0 0
 10 CTCL M 66 Skin NA Methotrexate/Targretin/Photopheresis SD 0 0
 11 CTCL F 62 Skin NA CHOP/Denileukin diftitox/Methotexate/Targretin PR 45 45
 12 CTCL F 70 Tonsil NA Photopheresis/IFN-alpha/Targretin/Romidepsin/Pralatrexate/EPOCH SD 85 97
 13 DLBCL F 20 LN Negative R-CVP/R-EPOCH PD 20 40
 14 DLBCL F 86 Bone Positive CEOP SD 0 0
 15 DLBCL M 49 Soft tissue Positive EPOCH-R/RICE/DHAP PR 30 80
Hodgkin lymphomas
 16 CHL M 18 LN Positive ABVD/ICE/AutoSCT/COPP/R-DHAP/EPOCH PR 18 100
 17 CHL F 21 LN Negative ABVD/DHAP/ICE/Auto-SCT/C-MOPP/Bendamustine PR 12 100
 18 CHL M 84 LN NA ABVD CR 5 100
 19 CHL F 23 LN Negative ABVD/BEACOPP CR 65 100
 20 CHL F 65 liver Negative ABVD PD 10 100
 21 CHL M 38 LN NA ABVD/ICE/AutoSCT/GND/AlloSCT/C-MOPP CR 25 100
 22 CHL F 28 LN NA ABVD/ICE/AutoSCT CR 25 100
 23 CHL M 89 Lung NA None PD 40 100
 24 CHL M 28 Mediastinal Positive ABVD/C-MOPP/AlloSCT PD 78 100
 25 CHL F 54 Mediastinal NA ABVD/ICE SD 3 100
 26 CHL M 54 LN Negative ABVD/ICE/AutoSCT SD 4 100
 27 CHL M 33 LN NA ABVD/ICE/AutoSCT PR 5 100

CR: Complete remission; PR: partial remission; SD: stable disease; PD: progressive disease; LN: lymph node; AITL: angioimmunoblastic T cell lymphoma; ALCL: anaplastic large cell lymphoma; cALCL: cutaneous anaplastic large cell lymphoma; PTCL NOS: peripheral T cell lymphoma, not otherwise specified; CTC:, cutaneous T cell lymphoma; DLBCL: diffuse large B cell lymphoma; CHL: classical Hodgkin lymphoma; R: rituximab; CHOP: cyclophosphamide, hydroxydaunorubicin, oncovine, prednisone; EPOCH: etoposide, prednisone, vincristine, cytoxan, doxorubicin; CEOP: cyclophosphamide, vincristine, epirubicin, prednisone; ICE: ifosfamide, carboplatin, etoposide; DHAP: dexam-ethasone, cytarabine, cisplatin; ABVD: doxorubicin, bleomycin, vinblastine, dacarbazine; COPP: cyclophosphamide, oncovin, procarbazine, prednisone; MOPP: mechlorethamine, vincristine, procarbazine, predisone; BEACOPP: bleomycin, etoposide, doxorubicin, cyclophosphamide, vincristine, procarbazine, prednisone; GND: gemcitabine, vinorelbine, doxorubicin; CVP: cyclophosphamide, vincrinstine, prednisone; XRT: radiation therapy; SCT: stem cell transplant.

Reduction in tumour burden was seen in 17 of 25 patients. The overall response rate (ORR) was 72%, with 44% achieving CR. In patients with non-Hodgkin lymphomas (NHL), 78% achieved a response and 50% CR. In classical Hodgkin lymphoma (CHL), the ORR was 64% while CR was seen in 36%.

Positive immunostaining for CD30 assessed as a percentage of total cellularity, or of the percentage of tumour cells showed no correlation with clinical outcome in either NHL or CHL. The strength of CD30 stain on tumour cells showed no association with response in NHL patients. However, in CHL there was a trend of increased response with increased stain strength. Statistical analyses were repeated to assess for correlation between all variables mentioned above at the approximate 1-year interval, which showed no significant correlation. Figure 1 demonstrates the staining patterns of a few of these cases.

Figure 1.

Figure 1.

A, Case 7 showing CD30 staining of ~70% of T cell lymphoma cells (inset shows CD3 stain). The patient achieved partial remission. B, Case 1 showing CD30 staining of ~0% of T cell lymphoma cells. The patient achieved complete remission.

Results of logistic regression analysis using clinical response as outcome are represented in Table 2. Odds ratios greater than 1 indicate that with each increase in scoring level of 1 unit (in %CD30 staining or stain strength), there is an increased probability of clinical response.

Table 2.

Logistic regression analysis of CD30 positivity for clinical response to brentuximab vedotin

CR CR+PR
Odds ratio CI P Odds ratio CI P
All samples (n = 27)
 % CD30 of the cellularity 1.04 (0.79, 1.35) 0.774 1.29 (0.65, 2.56) 0.472
 Stain strength 0.67 (0.17, 2.67) 0.574 2.49 (0.58, 10.66) 0.220
Non-Hodgkin lymphoma (n = 15)
 % CD30 of the cellularity 0.00 (<0.001, 83.11) 0.232 0.00 (<0.001, 9.86) 0.155
 % CD30 of all tumour 0.06 (0.002, 1.98) 0.115 0.13 (0.002, 10.39) 0.357
 Stain strength 0.19 (0.02, 2.4) 0.199 1.00 (0.10, 10.073) 1.000
Classical Hodgkin lymphoma (n = 12)
 % CD30 of the cellularity 1.09 (0.82, 1.45) 0.543 1.67 (0.29, 9.54) 0.563
 Stain strength 1.93 (0.14–26.79) 0.625 5.90 (0.46–76.64) 0.174

CR, Complete remission; PR, partial remission; CI, confidence interval.

CD30 is expressed on the cell surface of a wide range of lymphomas, but few non-malignant cells, providing a rational therapeutic target. Although limited by a small sample size, we find that the level of CD30 expression detected by immunohistochemistry is not a good predictor of clinical response to BV. The efficacy demonstrated in our institution is comparable to a large Phase II trial showing an ORR of 75% and CR of 34%.2 A recent study showed a significant correlation between CD30 mRNA levels to CD30 immunohistochemical scores using an identical anti-CD30 antibody clone to the one used here.3

Computer-assisted methods of CD30 detection have been evaluated. A study of 49 diffuse large B cell lymphomas (DLBCLs) in a multi-institutional clinical trial reported no correlation between response and expression of CD30, similar to our findings.4 Interestingly, some tumours negative by visual examination proved to have a quantifiable level of CD30 expression by computer-assisted methods. Unfortunately, computer-assisted methods are not available routinely for clinical use and may not be practical to implement.

Multispectral imaging (MSI) provides another method of possibly increasing sensitivity to low-level CD30 expression. In a Phase II trial of BV in cutaneous T cell lymphoma (CTCL), it was shown that objective clinical response was seen regardless of visual CD30 expression. Some of the positivity visualized later by MSI was found to be co-expressed by elements of the microenvironment, such as macrophages and cytotoxic T cells.5

In conclusion, our study demonstrates a lack of correlation between clinical outcome and CD30 expression on tumour cells as assessed by immunohistochemistry. As such, it may not be rational to use this marker for strict enrolment purposes. Larger, multi-institutional efforts are necessary to validate these findings. The potential that BV activity may be independent of the level of CD30 expression is worth additional investigation in order to elucidate its mechanism and identify eligible patients more effectively.

Footnotes

Ethics approving committee

Yale Human Research Protection Program Human Investigation Committee #1201009533. First approved 1/17/2012; last re-approved: 1/17/2015. This study fulfilled the criteria for waiver of informed, written consent. It was performed according to the Declaration of Helsinki.

Conflict of interests

The authors have no conflicts of interests or sources of funding to disclose.

References

  • 1.Schwab U, Stein H, Gerdes J et al. Production of a monoclonal antibody specific for Hodgkin and Sternberg-Reed cells of Hodgkin’s disease and a subset of normal lymphoid cells. Nature 1982; 299; 65–67. [DOI] [PubMed] [Google Scholar]
  • 2.Younes A, Gopal AK, Smith SE et al. Results of a pivotal phase II study of brentuximab vedotin for patients with relapsed or refractory Hodgkin’s lymphoma. J. Clin. Oncol 2012; 30; 2183–2189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Bossard C, Dobay MP, Parrens M et al. Immunohistochemistry as a valuable tool to assess CD30 expression in peripheral T-cell lymphomas: high correlation with mRNA levels. Blood 2014; 124; 2983–2986. [DOI] [PubMed] [Google Scholar]
  • 4.Jacobsen ED, Sharman JP, Oki Y et al. Brentuximab vedotin demonstrates objective responses in a phase 2 study of relapsed/refractory DLBCL with variable CD30 expression. Blood 2015; 125; 1394–1402. [DOI] [PubMed] [Google Scholar]
  • 5.Kim YH, Tavallaee M, Sundram U et al. Phase II investigator-initiated study of brentuximab vedotin in mycosis fungoides and Sezary syndrome with variable cd30 expression level: a multi-institution collaborative project. J. Clin. Oncol 2015; 33; 3750–3758. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES