Journal: The EMBO Journal
Article Title: Dysfunctional natural killer cells can be reprogrammed to regain anti-tumor activity
doi: 10.1038/s44318-024-00094-5
Figure Lengend Snippet: ( A , B ) Correlation of NK- DGKA-EGR2 signatures with the overall survival of ( A ) AML patients, and ( B ) glioma patients comparing high and low quartiles. Kaplan Meier curves are presented showing patient survival (obtained from Survival Genie (Dwivedi et al, )) along with the P values. Right panels show the signature of immune cell infiltration in AML and glioma; and red squares represent positive correlation to immune cells observed in the cancer dataset. Bottom panels indicate the correlation of the survival score to the NK cell signatures. P values ( A , B ) were calculated using Log-rank t test. ( C ) Left panel: Schematic representation of the 3D OTS model using the NP delivery platform to reprogram anergic NK cells in a tumor milieu. Primary NK cells were used to obtain anergic and responsive subsets and were then seeded to pre-constructed 3D cultures and administered with NP encapsulating Egr2 or NS siRNA. Next, the pNKs were subjected to an Incucyte-based killing assay. Right panel: Human chronic myeloid leukemia OTS 3D domes were established using Matrigel and cultured for 48 h in OTS media consisting of RPMI media supplemented with 1 µg/mL fibroblast growth factor (FGF), 0.18 µg/mL epidermal growth factor (EGF) and 500 IU/mL transforming growth factor (TGFβ). After 48 h, the 3D cultures were incubated with either freshly isolated anergic or responsive NK cells. After 6 h of NK-tumor co-incubation, NPs encapsulating Egr2 siRNA or NS siRNA were added (represented by the pink-shaded region). The decrease in fluorescence intensity reflects target cell lysis by the respective NK cell population and the associated treatment. The analysis was performed for 25 individual field frames for each experimental condition (with approx. n = 30 cells each field). Statistical analysis was conducted for three independent experiments, and presented as means ± SEM ( n = 3 healthy donors). P value was calculated using two-way ANOVA with a Tukey’s post hoc test for multiple comparison, and paired t test was performed between each time point and group to find significant changes in tumor lysis between the groups at specific time points. Anergic NS siRNA vs Anergic Egr2 siRNA ( P value (*) = 0.0121, time point: 30 h). ( D ) Timeline of the in vivo experiment. PDAC-1-xenograft NRG mice were established as previously described and received a single infusion of 1.1*10 7 human pNK from four healthy donors on day 9 once the tumors reached ~250–300 cm 2 ; “tumor only” control did not receive NK cells but received NS siRNA encapsulated NPs. NPs encapsulating Egr2 siRNA or NS siRNA were administered i.v. from day 12 for every 3 days until day 27. ( E ) Tumor volume (in mm 3 ) was monitored and measured daily throughout the experiment. The pNK injection is depicted by a black arrow in a green-shaded region, and the NP injections are indicated by red arrows. Mice in the “tumor only” group ( n = 6 mice) received no pNK treatment but were administered NP encapsulated NS siRNA. Mice that were administered with Egr2 siRNA ( n = 8 mice) are depicted in red, while those receiving NS siRNA ( n = 8 mice) are depicted in blue. The bold lines indicate the average, and the dashed lines represent individual mice within their respective experimental groups. ( F ) Tumor sizes (mm 3 ) measured during the indicated days. Black graph represents the control group with tumor only. The blue and the red graphs represent groups of mice that received treatment with NP encapsulating NS siRNA or Egr2 siRNA, respectively. Tumor sizes at specific time points are indicated: Day 8 (one day before pNK injection) and Day 11 (2 days after pNK injection) are tumor sizes prior to NP injection; day 15 (6 days after pNK injection), day 19 (10 days after pNK injection) and day 27 (18 days after pNK injection and final day before tumor excision) represent tumor sizes following NP injection. Data are presented as mean ± SEM . P values are calculated using one-way ANOVA accompanied by a Tukeys’ post hoc multiple comparison test individually for each day presented and are indicated within the graph. ( G ) Tumor growth rate measured from day 12 (first NP administration) until day 27 (end point) shown for the three groups (Egr2 siRNA-NP vs NS siRNA-NP vs tumor only). Data are presented as mean ± SEM . P values are calculated using one-way ANOVA and are indicated within the graph ( N = 4 healthy donors were used to obtain the pNK; Groups – tumor only ( n = 6), NP Egr2 siRNA ( n = 8), NP NS siRNA ( n = 8), where n is the number of mice). ( H , I ) Ex vivo analysis. The tumors were excised on day 27 and processed to single-cell suspensions by dissociation as described in the Materials and Methods. They were then stained for ( H ) CD107a ( n = 3, where n is the number of mice used to obtain the pNK cells) and ( I ) PD-1 ( n = 3, where n is the number of mice used to obtain the pNK cells). The pNK were distinguished based on hCD45 expression and NP incorporation (PE positive). Fluorescence is represented as both relative MFI (left panels) and percentage of pNK (right panel). P values were calculated using a two-tailed paired t test and are represented within the graph presented as means ± SEM. ( J ) Scheme depicting the proposed signaling pathway of anergic cells in accordance with the transcriptome and protein level profiling; PA phosphatidic acid, PLC phospholipase Cγ1/2, DAG diacylglycerol, DGK diacylglycerol kinase, Egr early growth response, MAPK mitogen-activated protein kinase, NFAT nuclear factor of activated T cells, PD-1 programmed cell death protein 1, PKCθ protein kinase Cθ, SHP-1 Src homology 2 domain-containing protein tyrosine phosphatase 1, pS591 phospho – S591. “Anergic” cells exhibit elevated EGR2 expression, which subsequently triggers an increase in DGKα. This leads to the conversion of DAG to PA, in turn, PA recruits more SHP-1 to the cellular membrane. As a result availability of DAG is restricted, which hampers PKCθ activity, rendering it incapable of modulating SHP-1 activity (Ben-Shmuel et al, ). This allows SHP-1 to dephosphorylate LAT and PLCγ1/2 (Matalon et al, ), preventing the initiation of a secondary cascade. DAG depletion also inhibits the activation of the DAG-mediated Ras-Raf-MEK-ERK pathway and IP3-mediated calcium flux. Consequently, there is no nuclear translocation of NFAT and its effector partners, such as AP-1, to initiate an effector response. This ultimately results in establishing an “anergy-associated gene transcription program”. .
Article Snippet: Primary antibodies for immunoprecipitation and immunoblotting: rabbit anti-Cbl, mouse anti-GAPDH (sc-0411), rabbit anti-GAPDH (FL-335), mouse anti-pERK Tyr204 (Santa Cruz Biotechnology); rabbit anti-Egr2 (Sigma Aldrich), rabbit anti-DGKα (Proteintech); mouse anti-NFAT1 (Abcam), mouse anti- NFAT2 (Abcam), rabbit anti-DGKζ (Abcam); rabbit anti-pPLCγ1(Y783), rabbit anti-pSHP-1 S591(ECM Biosciences).
Techniques: Construct, Cell Culture, Incubation, Isolation, Fluorescence, Lysis, Comparison, In Vivo, Control, Injection, Ex Vivo, Staining, Expressing, Two Tailed Test, Membrane, Activity Assay, Activation Assay, Translocation Assay