In Vitro Model to Predict Response to Daratumumab Therapy in Relapsed/Refractory Multiple Myeloma
Authors: Van Nieuwenhuijzen Niels , Cuenca Marta , Abbink Leonie , Lammers Eline , Jak Margot , Peperzak Victor , Minnema Monique C. 
Published: November 2021

Background

Since its approval in 2015, daratumumab has become incorporated in standard-of-care regimens of antimyeloma therapy. However, response to daratumumab in patients with relapsed/refractory multiple myeloma (RRMM) is heterogeneous, and a reliable biomarker of response is lacking. Expression of CD38 was shown to be associated with response to daratumumab, but failed to predict responses consistently and is therefore not used in clinical practice.

Aim of our study was to develop an in vitro method that accurately identifies patients with RRMM that will respond to daratumumab treatment.

Methods

We obtained CD38 mean fluorescent intensity (MFI) of plasma cells from patients with RRMM just before starting daratumumab therapy, as well as best clinical response to treatment and duration of response to daratumumab in weeks. When possible, extra material was obtained at the bone marrow biopsy performed before the start of daratumumab treatment and frozen in liquid nitrogen in our local biobank facility. All included patients provided written informed consent.

Bone marrow mononuclear cells from patients with RRMM were thawed and cultured for a week in a hydrogel-based culture system, supplemented with pro-survival cytokines IL-6 and APRIL. To examine the in vitro response to daratumumab, we added 0.1 μg/ml daratumumab or 0.1 μg/ml IgG1κ isotype to the culture wells. We measured complement-dependent cytotoxicity (CDC) by adding 10% pooled human serum and antibody-dependent cellular cytotoxicity (ADCC) by adding healthy-donor peripheral blood mononuclear cells (PBMC) in a 10:1 effector-to-target ratio. After overnight incubation, hydrogel cultures were broken down mechanically and specific lysis was determined with flow cytometry, using CD138 and CD38 multi-epitope antibodies to select plasma cells, and using ToPro3 live/dead stain and Flow-Count Fluorospheres to obtain absolute numbers of surviving plasma cells.

Results

First, we analyzed CD38 MFI of plasma cells from 35 patients with RRMM just before starting daratumumab treatment, both as monotherapy or as part of a regimen. As was previously reported by others 1,2, we found a significant association between expression of CD38 and response (p = 0.01) (Figure 1A). However, we also observed considerable overlap between CD38 MFI values of responders and non-responders, with AUC ROC = 0.75. Therefore the discriminatory value of CD38 expression to predict response is weak.

Next, we tested daratumumab in vitro on plasma cells obtained from 10 patients with RRMM. Daratumumab ADCC was associated with clinical response by the corresponding patients (p = 0.008), with a median specific lysis of 54.3% for patients who obtained a PR and 26.0% for patients who did not obtain a PR (Figure 1B). Median CDC for patients who did not obtain a PR was 3.16% versus 45.3% for patients who did obtain a PR, without a significant difference between the two groups (p = 0.18). Further evaluation of these results revealed AUC ROC of 1.00 and 0.81 for ADCC and CDC, respectively, outperforming CD38 expression. For ADCC, a threshold value of 39.6% lysis translated to a diagnostic accuracy of 100%, while for CDC a threshold value of 29.4% resulted in a diagnostic accuracy of 87.5%. Ultimately, we compared these results to CD38 expression. With an optimal CD38 MFI threshold value of 10989, diagnostic accuracy of CD38 expression was 71.4%. In addition, we examined ability of the test methods to predict the clinically experienced duration of response to daratumumab treatment. We observed no difference in duration of response when using the optimal threshold values of CD38 MFI (p = 0.13) and CDC lysis (p = 0.12), but duration of response was significantly different for patients with an ADCC lysis above and below the threshold value of 39.6% (p = 0.002) (Figure 1C).

Conclusion

In summary, we developed an straightforward and consistent in vitro method to predict response to daratumumab treatment in vivo. Measuring ADCC in patient-derived plasma cells using healthy-donor PBMC within our hydrogel-based culture system corresponds with the overall clinical response and duration of response to daratumumab. Our results support further clinical validation of the in vitro use of primary plasma cells to identify patients most likely to benefit from treatment.

References

1. Nijhof IS, et al. Blood. 2016;128(7):959-970.

2. Kitadate A, et al. Haematologica. 2019;105(1):e37-e40.

Figure 1 Figure 1.

Disclosures

Peperzak: Philips Healthcare: Research Funding. Minnema: Celgene: Other: Travel expenses; Alnylam: Consultancy; Janssen: Consultancy; Cilag: Consultancy; Kite/Gilead: Consultancy; BMS: Consultancy.