Citations

Abstract Introduction: Pancreatic ductal adenocarcinoma (PDAC) is a major cancer killer with a low 5-year survival rate of 12%. Diagnosing PDAC at an early stage is one of the strongest predictors of long-term survival. Therefore, novel methods for early detection of PDAC must be explored. In this pilot study we aimed to compare the peripheral blood immune cell phenotypes in PDAC cases and cancer-free controls. Method: CyTOF (cytometry by time-of-flight) was used to evaluate peripheral blood mononuclear cells (PBMC) from newly diagnosed treatment naïve patients with PDAC and sex and age matched cancer-free controls using a 29-marker immune phenotyping panel. Multiple analysis approaches including dimensionality reduction using tSNE and clustering using Phenograph were used to evaluate the results. Immune subsets having differential abundance differences were verified by manual gating. Results: Twenty patients were included in this pilot study (15 PDAC cases; 5 Cancer-free controls). Among the 15 PDAC cases, 5 were early stage (Stage 1-2). Thirty-two unique immune cell clusters were identified using the Phenograph algorithm: 10 unique clusters with properties consistent with monocytes/macrophages, 9 CD4 T cell clusters, 6 CD8 T cell clusters and 4 NK cells clusters. When comparing the case and control groups we noted lower percentages of CD8+CD27+ T-cells in cases. This was further verified by manual gating that confirmed the distribution of CD8+CD27+ T-cells relative to all T-cells were decreased in PDAC patients. In addition, a 57% increase in naïve CD4 T cells was found in case samples compared to controls. A principal component analysis of the clustering results identified two unique clusters of immune profiles that emerged providing a potential peripheral blood immune cell signature that could stratify and differentiate PDAC cases from controls. A CD14+CD16+CD4LoCD38+CD45RO+ population of monocytes was the primary cell population driving this difference. Conclusion: This study provides early evidence to indicate that a distinct PBMC immune phenotype may differentiate PDAC patients from control subjects. Further analysis in larger sample sets is warranted for in-depth characterization and identification of unique immune based biomarkers for PDAC detection. Citation Format: Kevin D. Pavelko, Jose C. Villasboas, William R. Taylor, Karen A. Doering, John B. Kisiel, Shounak Majumder. Peripheral blood immune phenotypes in pancreatic ductal adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2445.

Abstract Background: Non-small cell lung cancer (NSCLC) makes up ~85% of lung cancers, and its major subtypes are adenocarcinoma (AD) and squamous cell carcinoma (SC). The histology classification of NSCLC has significant therapeutic and prognostic implications. As liquid biopsies are rapid and non-invasive, computational methods to classify NSCLC subtypes using cell-free DNA (cfDNA) are desired. Methods: Using The Cancer Genome Atlas (TCGA) NSCLC methylation data, we developed a method to classify AD and SC subtypes from cfDNA samples. We mapped TCGA methylation data to Guardant Infinity’s promoter regions and transformed them to allow for the transfer of the TCGA trained model to Infinity cfDNA epigenomic data. An advantage of this approach is that TCGA training data originates from the primary tumor, while cfDNA samples have low tumor fraction (TF) and may also contain signals from metastatic tumors. We trained a penalized Logistic Regression model with LASSO. To better fit the model to Infinity cfDNA data, we performed region filtering. Results: Our model effectively classified AD and SC subtypes from TCGA samples (AUC 0.97) (10-fold cross validation; Table 1). When evaluating on cfDNA samples with epigenomic TF ≥ 1%, the final model shows reasonable performance (AUC 0.94) (Table 1); the performance decreases when reduced to TF > 0.05% (AUC 0.89) as expected (Table 1). When evaluating cfDNA from uncategorized lung samples, the predicted AD probabilities have significant association with KRAS mutations (p-value = 0.027). Conclusion: Our results show that the penalized Logistic Regression model trained with tissue TCGA methylation data through mapping, transformation, and region selection can classify NSCLC subtypes from cfDNA samples. This method may offer a fast, non-invasive tool to inform subtype-based clinical decisions, especially in the setting of poorly-differentiated carcinomas, and to identify subtype switches upon resistance to targeted therapies. Table 1: Model evaluation on tissue TCGA samples and cfDNA Infinity samples (different TF cutoffs) Sample type N samples AUC Accuracy Sensitivity Specificity Precision F1 score tissue TCGA 907 0.97 0.93 0.94 +/- 0.02 0.93 +/- 0.02 0.94 +/- 0.02 0.94 +/- 0.01 cfDNA Infinity 17 (TF ≥ 1%) 0.94 0.88 0.83 +/- 0.3 0.91 +/- 0.17 0.83 +/- 0.3 0.83 +/- 0.21 cfDNA Infinity 29 (TF > 0.05%) 0.89 0.83 0.88 +/- 0.23 0.81 +/- 0.17 0.64 +/- 0.28 0.74 +/- 0.2 Citation Format: Laura Tung, Denis Tolkunov, Catalin Barbacioru, Deepika Kale, Scott Shell, Jill Tsai, Leylah Drusbosky, Kaushal Parikh, Han-Yu Chuang. Non-small cell lung cancer (NSCLC) histology classification using DNA methylation data captured from liquid biopsies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3499.

Abstract Background Although CAR T-cell therapy has achieved remarkable response in patients (pts) with B-cell non-Hodgkin’s lymphoma (NHL), 20-30% of pts still have primary refractory disease (PD1), and another 30-40% relapse (PD2). We and others have shown that monocytes can modulate T-cell functions and impact clinical response to chemoimmunotherapy in NHL. Given that monocytes nadir and recovery kinetics differ from lymphocytes post lymphodepletion chemotherapy, we hypothesize that monocyte phenotype at peak CAR-T expansion and in the early month post CAR-T can modulate immune responses. Methods scRNAseq were performed on peripheral blood mononuclear cells of NHL pts prior to lymphodepletion chemotherapy (pre), at peak CAR-T expansion (peak), and one month following CAR-T (M1). Seurat v4.3.0 was used for unsupervised hierarchical clustering analysis. Lugano criteria was used to determine clinical responses which were categorized as CR (complete remission), PD1, or PD2. Results We analyzed 129,981 monocytes from 77 samples of 32 pts (16 CR, 4 PD1, 12 PD2) and 5 healthy controls. Unsupervised hierarchical clustering analysis identified 13 monocyte clusters: 4 classical monocyte (CM) clusters with transcriptome profiles for enriched signaling in IL-6, TGFβ, EMT, and p53; 2 intermediate monocyte (IM) clusters enriched for IL-1 or CD38 signaling; 2 non-classical monocytes (NM), one with increased CD36 expression; 3 monocytic MDSC clusters with enrichment of TGFβ, SIRPα, and HIF1α signaling; and 2 lymphoma-associated monocytes, expressing CD163 or CD169. At Pre and Peak, the distribution of the monocyte clusters was similar in pts with CR, PD2, or PD1, with only a slight decrease in the percent of NM in the PD2 group at Pre and slight increase of CD36 NM in PD1 at Peak. Compared to Pre, all pts had increased percent of CD36 NM and IL-1 IM at Peak. Interestingly, while the distribution of monocyte clusters was similar at Pre and Peak across clinical responses, GSEA showed that monocytes in CR pts, compared to PD1 and PD2, had gene expression enrichment of MYC target V2 pathway at Pre and TGFβ pathway at Peak. At M1, pts in PD1 had increased percent of p53 and TGFβ CM and decreased percent of NM. In contrast, pts with CR had decreased percent of IL-6 CM, p53 CM, TGFβ CM, IL-1 IM and increased percent of NM. Notably, as pts with CR and PD2 may appear similar clinically at M1, pts with PD2, compared to CR, have increased IL-6 CM, IL-1 IM, and decreased NM. In addition, GSEA showed that PD2 pts had increased IFNα response. Our results demonstrate that monocyte phenotype differences at Pre and Peak could be associated with CAR-T clinical response, and that persistent inflammatory monocyte signaling at M1 in pts with clinical response is associated with relapse. These data suggest a role for development of monocyte biomarkers to predict response and therapeutic targeting. Citation Format: Andre de Menezes Silva Corraes, Panwen Wang, Radhika Bansal, Henan Zhang, Zuoyi Shao, Kevin Regan, Eider Moreno Cortes, Arushi Khurana, Nora Bennani, Yucai Wang, Paul Hampel, Jonas Paludo, Patrick Johnston, Hemant Murthy, Madiha Iqbal, Stephen Ansell, Javier Munoz, Allison Rosenthal, Mohamed Kharfan-Dabaja, Januario Castro, Saad Kenderian, Haidong Dong, Ying Li, Yi Lin. Monocyte transcriptome profiles associated with clinical response in patients with B-cell non-Hodgkin’s lymphoma receiving CD19-directed CAR-T therapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4001.

Abstract Antibody-drug conjugates (ADCs) are increasingly being used in clinic, and many novel ADCs are being tested in clinical trials. Most ADCs act by delivering cytotoxic payloads into target cells. The activity of most ADCs is predicated upon internalization to release the cytotoxic payloads intracellularly to act on the malignant cells. The degree of ADC internalization is incomplete or absent for many cell surface targets, limiting the activity of ADCs. PROTACs are heterobifunctional molecules that result in the polyubiquitylation of their targets by inducing proximity with E3 ligases. The proteasome then recognizes the poly-ubiquitin chains and degrades these targets. We hypothesized that PROTACs that act on the same targets as ADCs could improve the internalization and efficacy of these ADCs. Using multiple cell lines derived from breast, lung or pancreatic cancers that express the oncogenic cell surface proteins EGFR (ERBB1), HER2 (ERBB2) or MET (HGF), we measured antibody internalization with live cell imaging. Antibodies were labeled with a pH sensitive reagent that fluoresces red (640 nm) upon exposure to acidic environments. Fluorescence was measured over time to create an area under the curve which was compared between the cell lines that were treated with and without PROTACs. Antibody internalization was observed in all cell lines that expressed the targets recognized by the antibodies. The addition of PROTACs targeting the same oncogenic cell surface proteins as the antibodies significantly increased antibody internalization beyond that observed without PROTACs. Internalization of antibodies was confirmed by measuring intracellular immunoglobulins by Western blot. Antibody internalization with PROTACs was dose-dependent, increased over time and was blocked by either the clatharin inhibitor Dyngo4a or the proteasome inhibitor MG132. In the case of HER2 for which there are FDA-approved anti-HER2 ADCs, the cytotoxicity of trastuzumab emtansine (TDM1) significantly increased with the addition of a HER2-targeting PROTAC across a range of doses. PROTACs that target the same oncogenic cell surface proteins as antibodies improve antibody internalization and ADC cytotoxicity, in a process dependent upon clatharin and the proteasome. This novel application of PROTACs may impact the use of ADCs, and provides a rationale to combine these agents in clinical trials. Citation Format: Ezequiel J. Tolosa, Lin Yang, Jennifer Ayers-Ringler, Jayapal Mallareddy, Janet Schaefer-Klein, Farhad Kosari, Amar Natarajan, Aaron S. Mansfield. Proteolysis targeting chimera (PROTAC)-driven internalization of antibodies targeting oncogenic cell surface receptors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4518.

Abstract Glioblastoma (GBM) and Alzheimer’s disease (AD) are two devastating central nervous system diagnoses with no known cure. Both diseases are associated with advanced age. The majority of GBM tumors form in the frontal and temporal lobes, two of the brain regions most impacted by amyloid and tau pathology in AD. Females have a higher risk of AD, while males have a higher risk of GBM. Several large case series have established epidemiological evidence that the two diseases are inversely correlated. Nevertheless, it remains unknown whether presence of subclinical amyloid or tau pathology antagonizes the establishment or progression of GBM. The present study sought to characterize GBM growth, progression, and immune response in the setting of concomitant AD pathology using the syngeneic murine GL261 tumor model. To further understand the tumor cell changes that occur in the presence or absence of AD pathology, we engineered GL261 with a dual-tagged vector consisting of RiboTag (to allow for full-length mRNA profiling) and TurboID (to allow for proteomic profiling). GL261 cells were injected intracranially into APPNL-G-F/NL-G-F - MAPThuman/human, APPNL-G-F/+ - MAPThuman/+, and wildtype C57BL/6J mice. Tumors in both wildtype and AD conditions contained ~50% intratumoral myeloid cells (Iba+, P2RY12-). Differential activation of intratumoral myeloid cells will be assessed with immunohistochemistry. Microgliosis (IBA1, P2RY12) and astrogliosis (GFAP) around the tumor in the setting of Alzheimer’s pathology versus normal conditions will be compared. Invasiveness, proliferation, DNA damage (pH2AX), and apoptosis (cleaved PARP, cleaved Caspase 3) will be compared. Tumor cell-specific changes unique to tumors in the AD microenvironment will be assessed transcriptionally with RiboTag profiling as well as proteomically with TurboID purifications. Our preliminary data suggests that the presence of concomitant AD pathology affects GBM growth and progression as well as the immune response to the tumor, and warrants further investigation. Citation Format: David Nascari, Ryan Eghlimi, Angad Beniwal, Drake Alton, John Fryer, Nhan L. Tran. Altered tumor microenvironment in animal model of concomitant GBM and Alzheimer's pathology [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5562.

Abstract Background: Diffuse midline glioma (DMG) is a highly aggressive pediatric brain cancer with a poor prognosis [1]. Mechanistically, DMG harbors a lysine-to-methionine substitution at position 27 of histone H3.3 (H3.3K27M), which leads to global hypomethylation and a dramatically altered epigenetic landscape [2, 3]. Aim: This study aims to explore the H3.3K27M mutation from a novel perspective by investigating its effects on H3.3 ubiquitination, with the goal of identifying effective, novel therapeutic targets. Methods: Mass spectrometry was used to identify potential E3 ligases for H3.3, while immunoprecipitation to verify this interaction. Cell viability and survival were determined by MTS and clonogenic survival assays, respectively. Nucleosome fractionation was performed to detect the distribution of wild-type (WT) or K27M mutant H3.3 histones. Results: Mass spectrometry identified UBR7, an E3 ligase, as exhibiting a stronger binding affinity with WT H3.3 than its K27M mutant counterpart. Further nucleosome fractionation assay revealed that K27M histones are more likely deposited in nucleosomes than WT H3.3. Further analysis demonstrated that a non-phosphorylation mimic mutation (serine to alanine) at amino acid 28 (S28A) restored the binding affinity of K27M mutant H3.3 with UBR7. Importantly, this mutation disrupted H3.3 phosphorylation and significantly diminished cell survival, whereas the constitutively activated phosphorylation mutation (S to glutamine (E)) on S28 (S28E) mimics K27M mutation in promoting cell proliferation and survival. Conclusion: These findings suggest that S28ph impairs UBR7-mediated K27M ubiquitination and promotes DMG cell growth, suggesting that targeting S28ph is an effective therapeutic strategy. However, the underlying mechanisms by which K27M interplays with S28ph in promoting tumorigenesis require further investigation. Citation Format: Yuqian Yan. Targeting H3.3 serine 28 phosphorylation as a novel therapeutic strategy for diffuse midline glioma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1719.

Abstract The selectivity of the blood-brain-barrier (BBB) can prevent therapeutics from reaching the brain, and this may contribute to the high failure rate of new drugs for tumors like glioblastoma (GBM) and brain metastasis. The capacity to detect BBB penetrance in real-time in a noninvasive manner would arguably aid the rate of therapeutic development. Extracellular vesicles, which are membrane bound particles secreted by all cell types in the body, have potential as a neuro pharmacodynamic reporter given that their protein and RNA cargo reflect the originating cell population. We hypothesized that the exposure of GBM cells to therapy results in altered EV cargo, and that the detection of this shift can be leveraged as a liquid biopsy from patients during early clinical trials to determine BBB penetrance and tumor engagement. To identify cargo shifts indicative of treatment, we exposed four short-term patient derived glioma cell lines to arsenic trioxide (an idiopathic toxin), MLN4924 (a neddylation inhibitor), and the alkylating agent temozolomide, then harvested EVs for unbiased mass spectrometry and RNA sequencing. Interestingly, we identified conserved upregulated and downregulated protein and RNA species across cell lines and across drug treatments, despite the diverse mechanisms of action. Candidate proteins were further validated by mesoscale immunoassays and exoview evaluation of tetraspanin-captured EVs. RNA species were validated by qRT-PCR. Overall, we demonstrate that GBM-derived EV cargo changes in response to therapy, supporting the development of EVs as a reporter of drug delivery in GBM. Ongoing and future work is focused on identifying enrichment handles in order to selectively evaluate GBM-derived EV cargo from patient biofluids. Thus far, B7H3, PTPRZ1, EGFRvII and IL13Ra2 have been screened as putative handles. Success in this pursuit could substantially enhance findings and accelerate drug testing in early-stage clinical trials in brain tumor patients by reporting drug accessibility to the tumor and engagement with drug targets. Citation Format: Valerie DeLuca, Nanyun Tang, Nathaniel Hansen, Anjali Raju, Charles Shaffer, Yue Hao, Terry C. Burns, Jann N. Sarkaria, Ian Parney, Patrick Pirrotte, Kendall Van Keuren-Jensen, Michael E. Berens. Glioblastoma-derived extracellular vesicle cargo as a reporter of drug delivery and effect [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2130.

Abstract Triple negative breast cancer (TNBC) represents an aggressive and therapeutically challenging breast cancer subtype with higher incidence and mortality rates in non-Hispanic Black (NHB) women. This disparity persists even after adjusting for socioeconomic factors, tumor biology, and quality of care. The study aims to unravel specific molecular mechanisms underlying this disparity, with a focus on Hedgehog signaling pathways in premenopausal NHB women. Understanding these mechanisms is vital for developing targeted therapies and personalized medicine approaches to address these health disparities. Our research utilized a unique cohort of NHB and non-Hispanic White (NHW) women who underwent breast reduction surgery at the Mayo Clinic and donated breast tissue samples for our study. We isolated RNA from whole tissue sections from a cohort of 12 NHB and 40 NHW women who were parous and premenopausal at time of surgery. We performed gene expression profiling using NanoString BC360 and IO360 assays. This allowed us to identify a distinct gene expression signature characteristic of basal-like/TNBC and indicative of heightened activity in the Hedgehog signaling pathway. We also employed advanced cell culture techniques to generate tissue organoids and subculture human mammary epithelial cells (HMECs) that preserve the intrinsic characteristics of the original tissue samples. We found that significantly differential expression of IL20RA and SOX10, principal factors in the gene expression signature, were preserved in both the derived organoids and the HMECs. These results suggest a potential intrinsic difference in the activation of the Hedgehog pathway in the breast epithelial cells of NHB women. This activation may contribute to increased proliferation and transformation of basal stem cells within the breast, possibly fueling the development and progression of TNBC. The implication of activated Hedgehog signaling in NHB women opens new avenues for understanding TNBC disparities. IL20RA and SOX10 represent potential biomarkers for TNBC risk that may serve as a stratification tool for NHB women. The results of this study have the potential to improve assessment and management of TNBC risk among NHB women, thereby contributing significantly to reducing health disparities in breast cancer outcomes. Citation Format: Jennifer Vanessa Cabezas, Savanna Touré, Matthew Wilson, Melody L. Stallings Mann, Laura M. Pacheco-Spann, Joshua W. Ogony, Mark E. Sherman, Derek C. Radisky. Identifying molecular mechanisms in triple negative breast cancer disparities: Unveiling the role of Hedgehog signaling in non-Hispanic Black women [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2139.

Abstract Background: PDAC is a particularly fatal condition lacking established biomarkers for the choice of first-line treatment (1L). The PurIST algorithm is a gene signature (Rashid et al. Clin. Cancer Res., 2020) that categorizes PDAC tumors into basal or classical molecular subtypes and has been previously validated in a patient cohort of advanced PDAC (N=258). In this post-hoc analysis study, we examine whether the PurIST subtypes can distinguish patients likely to respond to FOLFIRINOX (FFX) versus Gemcitabine + nab-paclitaxel (GnP). Methods: A cohort of de-identified PDAC patients was selected from the Tempus Oncology Database following an IRB-approved protocol. Inclusion criteria required no prior systemic treatment, a surgically unresectable/metastatic status, available RNA-sequencing data from primary or metastatic tissue, and the use of FFX or GnP as 1L systemic therapy with documented outcomes. RNA-sequencing was generated by the CAP/CLIA validated Tempus xR assay. The PurIST gene signature was applied to normalized gene expression values to classify samples into basal or classical subtypes. Univariate and multivariate Cox PH analyzes comparing overall survival (OS) with adjustment for delayed entry, between two common 1L treatment regimens, FFX and GnP, were performed for classical patients with an ECOG performance status of 0 or 1. Results: Application of the PurIST model to the PDAC cohort (N=258) resulted in 67% (N=173) labeled as classical, 23% (N=59) as basal, and the remainder as no-call. Amongst classical patients, 35% (N=61) had a known ECOG score of 0 or 1 and were retained for subsequent analysis. Within this subset, 37 were treated with FFX and 24 with GnP as 1L, with an overall median OS of 11.4 months (95% CI: 9.5-16.5) and a 12-month survival rate of 47.2%. A univariate Cox PH analysis showed that classical patients treated with FFX had a significantly longer OS time (HR (95% CI) = 2.32 (1.29-4.17)). This result remained significant in a multivariate Cox PH, adjusting for age and ECOG, (HR=2.5 (1.15-5.44)). Conclusion: In this real-world cohort of advanced PDAC patients, we showed that classical patients with low ECOG scores had superior OS with 1L FFX treatment compared to 1L GnP. These findings demonstrate the potential for PurIST to aid in optimal treatment selection for patients with advanced PDAC. Citation Format: Stephane Wenric, James M. Davison, John Guittar, Gregory M. Mayhew, Kirk Beebe, Alia Zander, Seung Won Hyun, Kyle Beauchamp, Michael V. Milburn, Vincent Chung, Tanios S. Bekaii-Saab, Charles M. Perou. Real-world validation of the PurIST classifier demonstrates enhanced therapy selection for pancreatic ductal adenocarcinoma (PDAC) patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2542.

Abstract Cytotoxic CD8+ T cells play a key role in response to anti-PD-1/PD-L1 immune checkpoint inhibitors (ICI) therapy. However, the exact effector molecules that are regulated by PD-1 signals in cytotoxic CD8+ T cells have not been completely defined. Lack of this knowledge is a crucial problem in addressing how to overcome the low clinical response rate to ICI therapy. When exploring why certain patients not responding to ICI therapy, we found non-responders did not have an elevated NKG7 expression in CD8+ T cells as responders to ICI therapy. The difference in NKG7 expression in CD8+ T cells between non-responders and responders to anti-PD-1 therapy prompted us to investigate the potential role of PD-1 signaling in regulating NKG7 expression. To that end, we generated a CD8+ T cell-specific Pdcd1 conditional knockout mice (CD8 E8ICre-Pdcd1fl/fl, also known as CD8-PD-1 cKO) where Pdcd1 is deleted after thymic selection of single positive CD8+ T cells. We observed a delayed tumor growth and prolonged survival in CD8-PD-1 cKO mice compared to control mice after B16-OVA melanoma tumor challenge. On Day 12, when the CD8-PD-1 cKO mice demonstrated their ability to control tumor growth, we conducted single cell RNA sequencing on isolated tumor infiltrating CD8+ T cells, revealing a significant increase of Nkg7 expression in effector CD8+ T cells in the Pdcd1 deficient CD8+ T cells compared to the control wild type T cells. Pdcd1-deficient effector CD8+ T cells also had increased expression of genes linked to NFAT/Calcineurin signaling pathway including Nfatc1, S100a4, Tbet and Tox, suggesting Nkg7 could be regulated by Pdcd1 via the NFAT pathway. To determine the impact of increased NKG7 expression in CD8+ T cells, we used OVA protein as a surrogate tumor antigen in vaccination. We found a complete B16-OVA tumor rejection in CD8-PD-1 cKO mice compared to control mice when tumor cells were injected on day 7 after vaccination with OVA protein and poly (I:C) (as an adjuvant), but only a partial rejection on day 21. The CD8-PD-1 cKO mice that were tumor-free for 30-40 days rejected 2nd tumor challenge with B16-OVA tumors. This long-term protection is tumor antigen (OVA) specific because these mice did not reject B16F10 tumor cells that do not express OVA antigen. We also found effector memory CD8+ T cells with high cytotoxicity increased in the spleen of CD8-PD-1 cKO mice after OVA antigen immunization compared to control. In conclusion, we found NKG7 is one of the effector molecules in cytotoxic CD8+ T cells, which can be regulated by PD-1 signals through NFAT signaling. Targeting the PD-1-NFAT pathway may be a new option to overcome low responses of T cells to ICI therapy in treatment of refractory cancer. Citation Format: Zhiming Mao, Joanina Gicobi, Jacob Hirdler, Xin Liu, Michelle Hsu, Emilia Dellacecca, Wenjing Zhang, Fabrice Lucien-Matteoni, Hai dong. PD-1 signals regulate NKG7 that is required for CD8+ T cells to sustain cytotoxicity and durable antitumor memory responses [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3979.