A multicentre analytical comparison study of inter-reader and inter-assay agreement of four programmed death-ligand 1 immunohistochemistry assays for scoring in triple-negative breast cancer

AIMS

Studies in various cancer types have demonstrated discordance between results from different programmed death-ligand 1 (PD-L1) assays. Here, we compare the reproducibility and analytical concordance of four clinically developed assays for assessing PD-L1-positivity in tumour-infiltrating immune cells in the tumour area (PD-L1-IC-positivity) in triple-negative breast cancer (TNBC).

METHODS AND RESULTS

Primary TNBC resection specimens (n = 30) were selected based on their PD-L1-IC-positivity per VENTANA SP142 (<1%: 15 cases; 1-5%: seven cases; >5%: eight cases). Serial histological sections were stained for PD-L1 using VENTANA SP142, VENTANA SP263, DAKO 22C3 and DAKO 28-8. PD-L1-IC-positivity and tumour cell expression (≥1 versus <1%) were scored by trained readers from seven sites using online virtual microscopy. The adjusted mean of PD-L1-IC-positivity for SP263 (7.8%) was significantly higher than those for the other three assays (3.7-4.9%). Differences in adjusted means were statistically significant between SP263 and the other three assays (P < 0.0001) but not between the three remaining assays when excluding SP263 (P = 0.0961-0.6522). Intra-class correlation coefficients revealed moderate-to-strong inter-reader agreement for each assay (0.460-0.805) and poor-to-strong inter-assay agreement for each reader (0.298-0.678) on PD-L1-IC-positivity.

CONCLUSIONS

In this first multicentre study of different PD-L1 assays in TNBC, we show that PD-L1-IC-positivity for SP142, 22C3 and 28-8 was reproducible and analytically concordant, indicating that these three assays may be analytically interchangeable. The relevance of the higher PD-L1-IC-positivity for SP263 should be further investigated.

Multicentric analytical comparability study of programmed death-ligand 1 expression on tumor-infiltrating immune cells and tumor cells in urothelial bladder cancer using four clinically developed immunohistochemistry assays

Programmed death-ligand 1 (PD-L1) expression on tumor cells (TC) or tumor-infiltrating immune cells (IC) correlated in several studies with PD-L1/programmed death-1 (PD-1) checkpoint inhibitor efficacy. Since June 2018, a positive PD-L1 status is required for atezolizumab or pembrolizumab treatment of patients with advanced or metastasized urothelial bladder cancer, who are ineligible for cisplatin-containing therapy. We examined technical comparability and inter-reader agreement of four clinically developed PD-L1 assays in locally advanced disease. Archived, formalin-fixed, paraffin-embedded sections from 30 patients (73.3% cystectomies, 26.7% transurethral resections) were stained by PD-L1 immunohistochemistry using VENTANA SP142, VENTANA SP263, DAKO 22C3, and DAKO 28-8 at two sites per manufacturers’ protocols and scored blinded at five sites for PD-L1 expression on IC (% per tumor area) and TC (%). Small, non-significant inter-assay differences were observed for IC. For TC, SP142 showed significantly lower staining percentages. Pairwise comparisons revealed − 0.3 to 1.6% differences in adjusted means between assays for IC, and for TC, − 10.5 to − 7.8% (SP142 versus others) and − 1.9 to 2.7% (other comparisons). Inter-reader and inter-assay agreement was moderate to high for both IC and TC. Allocation to binary cutoffs (1%, 5%, 10%) showed substantial to high Kappa agreement scores (0.440–0.923) for IC and TC between assays for each reader. This first multicenter study, with five independent readers blinded with respect to the assay used, suggests that all four currently clinically relevant assays are analytically similar for evaluation of PD-L1-stained IC and three (SP263, 22C3, and 28-8) for PD-L1-stained TC. Inter-observer agreement for trained readers in scoring of both IC and TC positivity was generally high.

Abstract P6-03-01: Variables influencing HER2-positivity in breast cancer: Assessment and validation of a statistical model based on two multicenter noninterventional studies in Germany

Background:

HER2 testing in breast cancer (BC), routine for &gt;10 years, allows selection of patients (pts) for HER2-targeted therapy; however, testing quality remains a concern. While guidelines recommend assessment of HER2-positivity rates as a quality indicator, the influence of patient- or tumor-related factors on variability was unknown until we identified the effect (in order of influence) of histologic grade, hormone receptor (HR) status, histologic subtype, age, and nodal status in a large, multicenter, observational study in Germany (NIU HER2 study; Rüschoff et al., Mod Pathol 2017). Based on these variables and the statistical model developed, potential issues with HER2 testing quality in local practice may be identified. We now report interim analyses from a multicenter study in Germany (EPI HER2 BC study; NCT02666261), where data from the NIU and EPI studies were compared and the validity of the NIU study model assessed.

Methods:

Routine HER2 test results and patient- and tumor-related data were collected from eligible pts with BC. Factors influencing HER2-positivity rates in the EPI study were compared with those identified in the NIU study. The predictive power of the NIU study model, fitted to EPI data, was determined and assessments performed using the variable coefficients and cutoff resulting from the NIU study analysis. Attempts were also made to improve the model.

Results:

Analyses included 15281 (NIU) and 6019 (EPI) invasive BC samples. The distribution of relevant variables, including HER2-positivity rate (NIU: 14.4%; EPI: 13.5%), was comparable. When the NIU study model was fitted to EPI study data, all five covariates identified in the NIU analyses had a significant effect on HER2-positivity (p&lt;0.001); the order of influence for covariates differed between studies (EPI [in order of influence]: histologic grading, histologic subtype, HR status, nodal status, and age). The relationship between HER2-positivity rate and the combined influence of covariates, visualized with the NIU study prediction profiler, was reproduced with EPI study data. The NIU study statistical model, with variable coefficients and cut-point determined in the NIU study, was used to predict the HER2-positivity of samples in EPI; if their NIU model-estimated probability of positivity was &gt;0.1407, the resulting sensitivity, specificity, and receiver operating characteristic (ROC) area under the curve (AUC) were 0.7032, 0.6622, and 0.7259, respectively. Thus, initial validation of the NIU study model with EPI data was successful. Semiquantitative estrogen and progesterone receptor expression data were available from EPI only; their inclusion as independent continuous, rather than categorical, variables improved the model (ROC AUC = 0.7533).

Conclusions:

The statistical modeling approach used to analyze data from the NIU study showed that patient- or tumor-related characteristics should be considered when assessing HER2 testing quality. Our present analysis validates and improves upon this statistical model and further highlights the need to assess HER2 testing quality in BC. Comparison of calculated vs actual positivity rates may help identify centers with potential HER2 testing quality issues.

Citation Format: Rüschoff J, Lebeau A, Kreipe H, Gerharz CD, Sinn P, Schildhaus H-U, Tennstedt-Schenk C, Ammann JU, Künzel C, Koch W, Untch M. Variables influencing HER2-positivity in breast cancer: Assessment and validation of a statistical model based on two multicenter noninterventional studies in Germany [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P6-03-01.

Development and use of IgM/J-chain fusion proteins for characterization of immunoglobulin superfamily ligand-receptor interactions

Discovery of binding partners for immunoglobulin molecules expressed by cells of the immune system is an important topic of current research. However, many ligand-receptor interactions are of low affinity, and hence detection is refractory to most established protocols. We evaluated fusion proteins based on human IgM as high avidity probes to screen for ligand-receptor binding. We describe methods for cloning, expression, and quantification of IgM fusion proteins with J-chain. Furthermore, we outline protocols to assess binding of IgM fusion proteins to cells and to plate-bound proteins. Compared to standard IgG-fusion proteins, IgM + J chain increased binding of a test interaction, PD-L1 to PD-1, up to 1000-fold.

Butyrophilin Btn2a2 inhibits TCR activation and phosphatidylinositol 3-kinase/Akt pathway signaling and induces Foxp3 expression in T lymphocytes

The butyrophilin-related protein Btn2a2 was upregulated on murine APC including CD19(+) B cells, CD11b(+)F4/80(+) peritoneal macrophages, and CD11c(+) bone marrow-derived dendritic cells after activation with LPS or Pam3CysK4, suggesting a role in modulation of T lymphocytes. Consistent with this, binding of mouse Btn2a2-Fc to CD3(+) primary mouse T cells stimulated with anti-CD3 and anti-CD28 reduced the number of proliferating cells and entry of cells into the cell cycle. Binding of Btn2a2-Fc to anti-CD3-stimulated T cells inhibited CD3ε, Zap70, and subsequent Erk1/2 activation. It also interfered with activation of the regulatory subunit of PI3K, p85, and activation of Akt in T cells stimulated with both anti-CD3 and anti-CD28. Inhibition of Akt activation by Btn2a2-Fc was, in contrast to inhibition by programmed death ligand-1-Fc, not overcome by anti-CD28 costimulation. Using Foxp3-GFP-transgenic, naive T cells, Btn2a2-Fc induced de novo expression of Foxp3 in a dose-dependent manner, and Btn2a2-Fc-induced CD4(+)CD25(+)Foxp3(+) T cells had inhibitory properties. The data indicate an important physiological role for Btn2a2 in inhibiting T cell activation and inducing Foxp3(+) regulatory T cells.

BTN1A1, the mammary gland butyrophilin, and BTN2A2 are both inhibitors of T cell activation

Butyrophilin (BTN) genes encode a set of related proteins. Studies in mice have shown that one of these, BTN1A1, is required for milk lipid secretion in lactation, whereas butyrophilin-like 2 is a coinhibitor of T cell activation. To understand these disparate roles of BTNs, we first compared the expression and functions of mouse Btn1a1 and Btn2a2. Btn1a1 transcripts were not restricted to lactating mammary tissue but were also found in virgin mammary tissue and, interestingly, spleen and thymus. In confirmation of this, BTN1A1 protein was detected in thymic epithelial cells. By contrast, Btn2a2 transcripts and protein were broadly expressed. Cell surface BTN2A2 protein, such as the B7 family molecule programmed death ligand 1, was upregulated upon activation of T cells. We next examined the potential of both BTN1A1 and BTN2A2 to interact with T cells. Recombinant Fc fusion proteins of murine BTN2A2 and, surprisingly BTN1A1, bound to activated T cells, suggesting the presence of one or more receptors on these cells. Immobilized BTN-Fc fusion proteins, but not MOG-Fc protein, inhibited the proliferation of CD4 and CD8 T cells activated by anti-CD3. BTN1A1 and BTN2A2 also inhibited T cell metabolism, IL-2, and IFN-gamma secretion. Inhibition of proliferation was not abrogated by exogenous IL-2 but could be overcome following costimulation with high levels of anti-CD28 Ab. These data are consistent with a coinhibitory role for mouse BTNs, including BTN1A1, the BTN expressed in the lactating mammary gland and on milk lipid droplets.

Sensitization of neuroblastoma cells for TRAIL-induced apoptosis by NF-kappaB inhibition

The transcription factor nuclear factor-kappaB (NF-kappaB) plays a central role in stress-induced transcriptional activation and has been implicated in chemoresistance of cancers. In the present study, we investigated the role of NF-kappaB in inducible chemoresistance of neuroblastoma. Doxorubicin, VP16 and the cytotoxic ligand TRAIL trigger NF-kappaB activation, whereas cisplatin and taxol have no impact on NF-kappaB activity. Specific inhibition of NF-kappaB activation by overexpression of dominant-negative mutant IkappaBalpha-super-repressor does not alter cell death upon doxorubicin or VP16 treatment, although it prevents doxorubicin- or VP16-mediated NF-kappaB activation. By comparison, inhibition of TRAIL-stimulated NF-kappaB activation by IkappaBalpha-superrepressor or the small molecule NF-kappaB inhibitor BMS-345541 significantly enhances TRAIL-induced apoptosis, pointing to an antiapoptotic function of NF-kappaB in TRAIL-mediated apoptosis. Analysis of signaling pathways reveals that NF-kappaB inhibition prevents TRAIL-triggered up-regulation of Mcl-1, promoting TRAIL-induced cytochrome c release and activation of caspases. Accordingly, knockdown of Mcl-1 by RNA interference significantly enhances TRAIL-induced apoptosis and also increases sensitivity of neuroblastoma cells to CD95- or chemotherapy-induced apoptosis. In conclusion, NF-kappaB regulates apoptosis in a stimulus-specific manner in neuroblastoma cells and confers protection against TRAIL-induced apoptosis. By demonstrating that NF-kappaB inhibition sensitizes neuroblastoma cells for TRAIL-induced apoptosis, our findings have important implications. Thus, NF-kappaB inhibitors may open new perspectives to potentiate the efficacy of TRAIL-based protocols in the treatment of neuroblastoma.