CD86 regulates myeloma cell survival

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CD86 regulates myeloma cell survival by Catherine M. Gavile, Benjamin G. Barwick, Scott Newman, Paola Neri, Ajay K. Nooka, Sagar Lonial, Kelvin P. Lee, and Lawrence H. Boise BloodAdv Volume 1(25):2307-2319 November 28, 2017 © 2017 by The American Society of Hematology

Catherine M. Gavile et al. Blood Adv 2017;1:2307-2319 © 2017 by The American Society of Hematology

CD28 and CD86 expression influences patient outcomes. CD28 and CD86 expression influences patient outcomes. (A) Plot of CD28 vs CD86 expression in patients enrolled in CoMMpass. Vertical and horizontal dashed lines represent the 25th and 75th percentiles. (B) Kaplan-Meier survival curves for patients in the top (red) and bottom (blue) CD28 and CD86 expression quartiles and all other patients (gray) in the CoMMpass study. Both PFS (left) and OS (right) are shown. (C) Histogram of percentage of myeloma cells positive for CD28 by flow cytometry data from 141 patients (left) and boxplot of CD28 mRNA expression for patients with myelomas that are <100% CD28+ and those that are 100% CD28+ (right). (D) PFS (left) and OS (right) for 141 patients with both CD28 flow cytometry and outcome data in the CoMMpass study. FPKM, fragments per kilobase of transcript per million reads mapped; HR, hazard ratio. Catherine M. Gavile et al. Blood Adv 2017;1:2307-2319 © 2017 by The American Society of Hematology

Silencing or blockade of CD86 results in myeloma cell death. Silencing or blockade of CD86 results in myeloma cell death. (A) Myeloma cell lines were infected with lentiviral particles carrying empty vector (pLKO.1) or the individual shRNAs, and cell death was monitored by annexin V–fluorescein isothiocyanate staining for 4 days. Data for different time points were all compared with pLKO.1 controls (left). mRNA quantification as measured via qRT-PCR comparing levels of CD28 or CD86 to vector-controls (middle). Representative histograms show CD28 or CD86 surface levels at day 4 postinfection. Thin gray histograms at left are isotype controls (right). (B) mRNA quantification as measured via qRT-PCR comparing levels of CD28 or CD86 with vector controls (left). Representative histograms show CD28 or CD86 surface expression at day 4 postinfection. Thin gray histograms at left are isotype controls (right). (A-B) All data are presented as mean ± standard error of the mean (SEM) of at least 3 independent experiments. *P < .05, **P < .01, ***P < .005. All qRT-PCR data are normalized to β-actin as an endogenous control and then compared relative to mRNA levels in pLKO.1 empty vector control. RNA was extracted on day 3 postinfection. For flow cytometry data, histograms are representative of the annexin V− set in the population. (C) Gating strategy for cells from the buffy coat from a bone marrow aspirate of a patient with myeloma. Total cells were separated into CD138+ (purple) vs CD138− (orange). Histograms show that CD138+ cells are also CD38− CD28− CD86+. (D) Cells from the buffy coat from the same patient with myeloma were infected with lentivirus containing shCD86 or pLKO.1 empty vector control. Cell death of CD38+ vs CD38− cells was assessed via staining with annexin V at indicated time points postinfection. Representative histograms for CD86 surface expression are from day 3 postinfection. FSC, forward scatter; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; SSC, side scatter. Catherine M. Gavile et al. Blood Adv 2017;1:2307-2319 © 2017 by The American Society of Hematology

Gene expression changes in CD28- vs CD86-silenced cells are consistent with regulation of both distinct and common pathways, including expression of IRF4. Gene expression changes in CD28- vs CD86-silenced cells are consistent with regulation of both distinct and common pathways, including expression of IRF4. (A) Gene set enrichment analysis showing upregulated (top) and downregulated (bottom) gene sets in shCD28- (blue) and shCD86-treated (red) myeloma cells. For each gene set, the enrichment score is shown above the ranked change in gene expression, where genes that overlap the gene set are denoted by blue and red ticks for shCD28 and shCD86, respectively. (B) qRT-PCR showing IRF4 mRNA levels when CD28 or CD86 was silenced in MM.1s or 8226 cells. (C) Representative western blots showing IRF4 levels with silencing of CD28 or CD86 in cell lines indicated at different time points. (D) Integrin levels were measured via qRT-PCR (ITGB7 and ITGB1; left). Representative histograms showing ITGβ1 and ITGβ7 on day 4 after shRNA treatment (right). For qRT-PCR, all data are normalized to β-actin as an endogenous control and then compared relative to mRNA levels in pLKO.1 empty vector control. RNA was extracted at day 3 postinfection. Data shown are mean ± SEM of at least 3 independent experiments. Histograms showing surface levels of indicated molecules. Gray histograms at left represent unstained or isotype controls. Flow cytometry data shown are from day 4 postinfection with lentiviral vectors. Flow cytometry and western blot data shown are representative of at least 3 independent experiments. (E) Cell adhesion 3 days postinfection with lentivirus containing the indicated shRNA. Myeloma cells stained with calcein AM were cocultured with HS-5 cells for 2 hours. Fluorescence was measured (485/528 emission/excitation) with BioTek Synergy H1 multiwell plate reader, and data are presented as fluorescence relative to pLKO.1 controls (mean ± SEM). Prewash readings were taken to ensure similar numbers of live cells were added to each well. All samples were plated in triplicate. Data are mean of 3 independent experiments. GAPDH, glyceraldehyde-3-phosphate dehydrogenase; GX, gene expression changes; RFU, relative fluorescence unit. Catherine M. Gavile et al. Blood Adv 2017;1:2307-2319 © 2017 by The American Society of Hematology

Overexpression of CD86 provides a survival advantage against different cell death signals. Overexpression of CD86 provides a survival advantage against different cell death signals. (A) Alignment of CD86 cytoplasmic domains using Clustal. *Denotes identity; : and . denote similarity. (B) Diagrams showing structure of the 2 different CD86 constructs. CD86FLm represents full-length CD86, whereas CD86TLm represents the tail-less version, wherein the cytosolic domain was shortened to 7 amino acids to abrogate signaling capacity. The histograms at the right show surface levels of stable transfection of CD86 constructs compared with pCDNA3.1 vector control and parental cells. (C) Representative histograms showing surface expression of indicated molecules in RPMI8226 CD86FLm- and CD86TLm-expressing cells. (D) Concentration curves for CD86 transfectants and vector controls with indicated pharmacologic agents. Cells were treated for 24 hours (except in the case of dexamethasone [48 hours]), and cell death was measured via annexin V–propidium iodide staining. Data shown as percentage of untreated control for each cell line. Data shown are mean ± SEM of at least 3 independent experiments. TM, transmembrane. Catherine M. Gavile et al. Blood Adv 2017;1:2307-2319 © 2017 by The American Society of Hematology

Overexpression of CD86FLm provides a survival advantage against silencing of CD86 and CD28 but not against silencing of IRF4. Overexpression of CD86FLm provides a survival advantage against silencing of CD86 and CD28 but not against silencing of IRF4. (A) Representative histograms showing the levels of surface CD86 in 3 different cell lines when either CD28, CD86, or glyceraldehyde-3-phosphate dehydrogenase (GAPDH) are silenced. Thin black histograms at left are unstained pLKO.1-infected controls. (B) Cell death measured at day 4 postinfection via annexin V staining, shown as percentage of pLKO.1-infected controls. (A-B) Data shown are from day 4 postinfection and representative of at least 3 independent experiments. (C) qRT-PCR was performed to determine levels of CD86, CD28, and IRF4 to compare the different cell lines. Data are normalized to β-actin as endogenous control and then compared relative to mRNA levels in pLKO.1 empty vector control. Data shown are mean ± SEM of at least 3 independent experiments. (D) Representative western blots showing levels of IRF4 in cells overexpressing CD86FLm or CD86TLm when either CD86 or CD28 are silenced. Lysates are from day 4 postinfection. (E) Cell death as measured by annexin V staining at day 4 postinfection in 8226-pCDNA3.1 or 8226-CD86FLm cells where CD86 or IRF4 was silenced; shown as percentage of pLKO.1-infected controls. (F) Representative western blots showing levels of IRF4 and β-actin in lysates from experiments in panel E. Data shown are mean ± SEM of at least 3 independent experiments. *P < .05, **P < .01, ***P < .005. Catherine M. Gavile et al. Blood Adv 2017;1:2307-2319 © 2017 by The American Society of Hematology

Cell death induced by CD86 blockade is only partially caspase dependent and has similarities to death induced by loss of IRF4. Cell death induced by CD86 blockade is only partially caspase dependent and has similarities to death induced by loss of IRF4. (A) Panels showing cell death represented as percentage of pLKO.1-infected controls over time in RPMI8226 cells overexpressing the indicated Bcl-2 family members (left). Representative histograms showing surface expression of CD28 or CD86 in 8226-pCDNA3.1 controls and 8226–Mcl-1 transfectants (right). (B) Cell death levels measured via percentage of annexin V+ cells at day 4 postinfection. For Q-VD-Oph–treated cells, the caspase inhibitor was added at day 2 postinfection. All data are from day 4 postinfection. (C) Representative western blots showing caspase-3 and poly (ADP-ribose) polymerase (PARP) cleavage with silencing of CD28 or CD86, with or without Q-VD-Oph. (D) Cell death with IRF4 or CD86 silencing was measured via annexin V staining, in the presence or absence of Q-VD-Oph. (E) Representative western blots showing expression of IRF4, caspase 3, and PARP when CD86 or IRF4 are silenced in MM.1s and 8226 cells. Data shown are mean ± SEM or representative of at least 3 independent experiments. *P < .05. UNT, untreated. Catherine M. Gavile et al. Blood Adv 2017;1:2307-2319 © 2017 by The American Society of Hematology