scholarly journals Establishing standardized immune phenotyping of metastatic melanoma by digital pathology

2021 ◽  
Author(s):  
Bettina Sobottka ◽  
Marta Nowak ◽  
Anja Laura Frei ◽  
Martina Haberecker ◽  
Samuel Merki ◽  
...  
Keyword(s):  
T Cells ◽  
Cd8 T Cells ◽  
Validation Cohort ◽  
Checkpoint Inhibitors ◽  
Digital Pathology ◽  
Diagnostic Category ◽  
Predictive Biomarkers ◽  
Diagnostic Algorithm ◽  
Tumor Center ◽  
Immune Phenotyping

AbstractCD8+ tumor-infiltrating T cells can be regarded as one of the most relevant predictive biomarkers in immune-oncology. Highly infiltrated tumors, referred to as inflamed (clinically “hot”), show the most favorable response to immune checkpoint inhibitors in contrast to tumors with a scarce immune infiltrate called immune desert or excluded (clinically “cold”). Nevertheless, quantitative and reproducible methods examining their prevalence within tumors are lacking. We therefore established a computational diagnostic algorithm to quantitatively measure spatial densities of tumor-infiltrating CD8+ T cells by digital pathology within the three known tumor compartments as recommended by the International Immuno-Oncology Biomarker Working Group in 116 prospective metastatic melanomas of the Swiss Tumor Profiler cohort. Workflow robustness was confirmed in 33 samples of an independent retrospective validation cohort. The introduction of the intratumoral tumor center compartment proved to be most relevant for establishing an immune diagnosis in metastatic disease, independent of metastatic site. Cut-off values for reproducible classification were defined and successfully assigned densities into the respective immune diagnostic category in the validation cohort with high sensitivity, specificity, and precision. We provide a robust diagnostic algorithm based on intratumoral and stromal CD8+ T-cell densities in the tumor center compartment that translates spatial densities of tumor-infiltrating CD8+ T cells into the clinically relevant immune diagnostic categories “inflamed”, “excluded”, and “desert”. The consideration of the intratumoral tumor center compartment allows immune phenotyping in the clinically highly relevant setting of metastatic lesions, even if the invasive margin compartment is not captured in biopsy material.

Immunological and clinical profiles of patients with advanced or metastatic melanoma receiving immune checkpoint inhibitors to investigate potential biomarkers for immune-related adverse events.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14037-e14037
Author(s):  
Stephanie A. Berg ◽  
Michael Wesolowski ◽  
Brianna Burke ◽  
Courtney Regan Wagner ◽  
Joseph I Clark ◽  
...  
Keyword(s):  
T Cells ◽  
Adverse Events ◽  
Cd8 T Cells ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Molecular Mechanisms ◽  
Checkpoint Inhibitors ◽  
Rank Correlation ◽  
Predictive Biomarkers ◽  
Biological Variables

e14037 Background: Immune-related adverse events (irAEs) related to immune checkpoint inhibitors (ICIs) may target any organ and originate from autoreactive T cells injuring host tissues. There is a need to develop prognostic and predictive biomarkers to distinguish patients (pts) who will benefit from ICIs avoiding irAEs during treatment. We propose that irAEs are the result of many biological variables. We hypothesize that within each pts complex immunological profile, there may be patterns and associations which exist that represent a state of inflammation that is present prior to ICI therapy and hypothesize this could predict irAEs development. Methods: We created individual immunological profiles of 11 pts diagnosed with MM prior to receiving ICIs. Assays included: PBMC composition, circulating chemokines/cytokines, and IκB degradation status. CD4 and CD8 T cells were studied for their phenotype, activation status, proliferative capacity and cytolytic granules. Clinical data was collected on a larger MM pt cohort (n = 41) and descriptive statistics were utilized to characterize reported irAEs . Results: 110 input markers were utilized for immune signature analysis. 6 of the 11 pts reported grade 2+ irAEs after ICI therapy. The pro-inflammatory CCL13, CCL1, FLT-3, IL12p40, TRAIL, and granzyme b expressing CD4 T cells at steady state and after CD3 activation were significantly higher in pts with irAEs. Known inflammatory suspects (i.e., IL-2, IL-15, TNF-a or % CD8 T cells) were not associated with irAE development . A rank correlation test showed significant associations between the levels of these factors. irAEs were reported in 41% (n = 17) for our larger cohort, most frequently skin rash (7%), colitis (7%), hepatitis (7%) and thyroid dysfunction (4%). Conclusions: The immune signatures of pts with irAEs are highly heterogeneous and possess distinctive immunological patterns. Our results introduce possible molecular mechanisms that may aid understanding of irAE development, perhaps providing the basis for a new model prospectively testing these markers to risk stratify pts receiving ICIs.

scholarly journals Case Report: Exceptional Response to Nivolumab Plus Ipilimumab in a Young Woman With TFE3-SFPQ Fusion Translocation-Associated Renal Cell Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Dylan J. Martini ◽  
Caroline S. Jansen ◽  
Lara R. Harik ◽  
Sean T. Evans ◽  
T. Anders Olsen ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
T Cells ◽  
Cell Carcinoma ◽  
Cd8 T Cells ◽  
Renal Cell ◽  
Lymphovascular Invasion ◽  
Checkpoint Inhibitors ◽  
Predictive Biomarkers ◽  
Response To Treatment ◽  
Rare Malignancy

Translocation-associated renal cell carcinoma (tRCC) is a rare, aggressive malignancy that primarily affects children and young adults. There is no clear consensus on the most effective treatment for tRCC and there are no biomarkers of response to treatments in these patients. We present a case of a 23 year-old female with metastatic tRCC to the lungs who was started on treatment with nivolumab and ipilimumab. She had a complete radiographic response to treatment and has been progression-free for over 18 months. Immunofluorescence imaging performed on the baseline primary tumor sample showed significant intratumoral immune infiltration. Importantly, these cells are present in niches characterized by TCF1+ CD8+ T cells. Histopathologic investigation showed the presence of lymphocytes in the fibrovascular septae and foci of lymphovascular invasion. Furthermore, lymphovascular invasion and intratumor niches with TCF1+ CD8+ T cells may predict a favorable response to treatment with nivolumab and ipilimumab. These findings have significant clinical relevance given that immune checkpoint inhibitors are approved for several malignancies and predictive biomarkers for response to treatment are lacking. Importantly, the identification of these TCF1+ CD8+ T cells may guide treatment for patients with tRCC, which is a rare malignancy without a consensus first-line treatment option.

Predictive biomarkers for response to nivolumab in head and neck squamous cell carcinoma (HNSCC) (NCT#03652142).

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 6060-6060
Author(s):  
Amanda Psyrri ◽  
Niki Gavrielatou ◽  
Aris Spathis ◽  
Maria Anastasiou ◽  
Ekaterina Fortis ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Cd8 T Cells ◽  
Checkpoint Inhibitors ◽  
Predictive Biomarkers ◽  
Cd8 T Cell ◽  
Post Treatment ◽  
Tertiary Lymphoid Structures ◽  
Pre Treatment ◽  
Lymphoid Structures

6060 Background: Tumor immune cell compositions determine response to immunotherapy. For a better understanding of the mechanisms of resistance to nivolumab in HNSCC, we sought to investigate a prospective cohort of longitudinal HNSCC samples from recurrent/metastatic HNSCC pts treated with nivolumab and identify biomarkers of response and resistance. We will specifically focus on modulation of immune markers following two cycles of nivolumab. Methods: Patients with platinum-refractory HNSCC with no contraindication to nivolumab therapy are included in this study. Tumor biopsies are performed at baseline, 24-72 hours after the second cycle and at progression with appropriate written informed consent. Samples were assessed for the presence of Tertiary Lymphoid Structures (TLS), PD-L1 expression (TPS and CPS) and CD8 T cell infiltrates combined with Ki67 (CD8/Ki67 double IHC stain). The primary outcome measure of the study is change in the percentage of immune cells in post treatment compared to baseline biopsies. Secondary endpoints include safety of performing a second biopsy, best overall response rate, biomarker expression in association with response and survival. Evaluation of other biomarkers including tumor mutational burden, HLA class I and II expression and adaptive immunity cell populations using multiplex IF is ongoing. Results: Of 20 patients evaluable for response, 14 had PD (8 of whom showed hyper-progression) and 6 attained disease control (1 with PR). PD-L1 status (CPS or TPS) was not altered by treatment (p = 0.905) and CPS > 20 pre-treatment showed a favorable trend towards response (p = 0.117). Absence of tertiary lymphoid structures was associated with disease progression (p = 0.0374). Infiltrating plasma cell count remained unchanged pre- and post-treatment and was unrelated to response (p = 0.458). The percentage of proliferating CD8+ T cells (CD8+/Ki67+) increased in post-treatment biopsies in the entire population (p = 0.022) and especially in progressors (p = 0.039). Pre-treatment CD8+ T cell density was higher in patients with hyper-progression compared to progressors (p = 0.029). Conclusions: Increased percentage of proliferating CD8+ T cells in progressors might represent dysfunctional T cells as has been recently shown in melanoma pts (Li H et al Cell 2019) and clinical efforts to reactivate intratumoral T cells may augment the efficacy of PD1 checkpoint inhibitors. Clinical trial information: NCT03652142.

scholarly journals Inhibition of the PI3K/mTOR Pathway in Breast Cancer to Enhance Response to Immune Checkpoint Inhibitors in Breast Cancer

2021 ◽  
Vol 22 (10) ◽  
pp. 5207
Author(s):  
Chi Yan ◽  
Jinming Yang ◽  
Nabil Saleh ◽  
Sheau-Chiann Chen ◽  
Gregory D. Ayers ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Tumor Growth ◽  
Cd8 T Cells ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Mtor Pathway ◽  
Complete Regression ◽  
Mtor Inhibition

Objectives: Inhibition of the PI3K/mTOR pathway suppresses breast cancer (BC) growth, enhances anti-tumor immune responses, and works synergistically with immune checkpoint inhibitors (ICI). The objective here was to identify a subclass of PI3K inhibitors that, when combined with paclitaxel, is effective in enhancing response to ICI. Methods: C57BL/6 mice were orthotopically implanted with syngeneic luminal/triple-negative-like PyMT cells exhibiting high endogenous PI3K activity. Tumor growth in response to treatment with anti-PD-1 + anti-CTLA-4 (ICI), paclitaxel (PTX), and either the PI3Kα-specific inhibitor alpelisib, the pan-PI3K inhibitor copanlisib, or the broad spectrum PI3K/mTOR inhibitor gedatolisib was evaluated in reference to monotherapy or combinations of these therapies. Effects of these therapeutics on intratumoral immune populations were determined by multicolor FACS. Results: Treatment with alpelisib + PTX inhibited PyMT tumor growth and increased tumor-infiltrating granulocytes but did not significantly affect the number of tumor-infiltrating CD8+ T cells and did not synergize with ICI. Copanlisib + PTX + ICI significantly inhibited PyMT growth and increased activation of intratumoral CD8+ T cells as compared to ICI alone, yet did not inhibit tumor growth more than ICI alone. In contrast, gedatolisib + ICI resulted in significantly greater inhibition of tumor growth compared to ICI alone and induced durable dendritic-cell, CD8+ T-cell, and NK-cell responses. Adding PTX to this regimen yielded complete regression in 60% of tumors. Conclusion: PI3K/mTOR inhibition plus PTX heightens response to ICI and may provide a viable therapeutic approach for treatment of metastatic BC.

scholarly journals 540 Baseline mTOR transcriptional signatures in CD8 T cells are associated with immune-related adverse events but not anti-tumor responses in patients receiving immune checkpoint inhibitors

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A570-A570
Author(s):  
Chen Zhao ◽  
Matthew Mule ◽  
Andrew Martins ◽  
Iago Pinal Fernandez ◽  
Renee Donahue ◽  
...  
Keyword(s):  
T Cells ◽  
Adverse Events ◽  
Tumor Immunity ◽  
Cd8 T Cells ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Effector Memory ◽  
Link Type ◽  
Anti Tumor Activity

BackgroundImmune checkpoint inhibitors (ICIs) have changed the cancer treatment landscape, but immune-related adverse events (irAEs) can affect a wide range of tissues in patients receiving ICIs. Severe irAEs can be life-threatening or fatal and prohibit patients from receiving further ICI treatment. While the clinical features of irAEs are well documented, the pathological mechanisms and predictive biomarkers are largely unknown. In addition, there is a critical need to preserve ICI-induced anti-tumor immunity while controlling for irAEs, which requires deciphering molecular and cellular signatures associated specifically with irAEs beyond those more generally linked to anti-tumor immunity.MethodsTo unbiasedly identify immune cells and states associated with irAEs, we applied CITE-seq to measure transcripts and surface proteins (83 protein markers) from PBMCs collected from patients with thymic epithelial tumors before and after treatment with an anti-PD-L1 antibody (avelumab, NCT01772004, NCT03076554).ResultsSamples from 9 patients were analyzed. No patient had a history of pre-existing paraneoplastic autoimmune disease. Anti-tumor activity was observed in all cases, and 5 patients had clinical and/or biochemical evidence of immune-related muscle inflammation (myositis with or without myocarditis). Multilevel models applied within highly resolved cell clusters revealed transcriptional states associated with ICI response and more uniquely with irAEs. A total of 190,000 cells were included in the analysis after quality control. Most notably, CD45RA+ effector memory CD8 T cells with an mTOR transcriptional signature were highly enriched at baseline and post treatment in patients with irAEs.ConclusionsOur findings suggest the potential therapeutic avenues by using mTOR inhibitors to dampen autoimmune responses while potentially sparing anti-tumor activity, to prevent treatment discontinuation and improve clinical outcomes for cancer patients treated with ICIs.AcknowledgementsThis research was supported in part by the Intramural Research Program of the NCI (the Center for Cancer Research), NIAID and NIAMS, and through a Cooperative Research and Development Agreement between the National Cancer Institute and EMD Serono.Trial RegistrationNCT01772004, NCT03076554Ethics ApprovalThis study is approved by NCI institutional review board.

scholarly journals 281 Measuring immune checkpoint inhibitor efficacy using primary patient-derived 3D spheroids

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A305-A305
Author(s):  
Kathryn Appleton ◽  
Katy Lassahn ◽  
Ashley Elrod ◽  
Tessa DesRochers
Keyword(s):  
T Cells ◽  
Cd8 T Cells ◽  
Immune Checkpoint ◽  
Checkpoint Inhibitors ◽  
Clinical Success ◽  
Single Cells ◽  
Granzyme B ◽  
Immune Checkpoints ◽  
Dependent Manner ◽  
Luminex Technology

BackgroundCancerous cells can utilize immune checkpoints to escape T-cell-mediated cytotoxicity. Agents that target PD-1, PD-L1 and CTLA4 are collectively deemed immune checkpoint inhibitors (ICIs), and many have been approved for treatment of non-small cell lung cancer (NSCLC) and melanoma. Unfortunately, many patients do not respond to these therapies and often experience disease progression. Immunohistochemistry assays to predict response to ICIs have been inconsistent in their readouts and often patients with low expression levels respond to ICIs. Understanding the determinants of ICI response in individual patients is critical for improving the clinical success of this drug class. Using patient-derived spheroids from NSCLC and melanoma primary tissue, we developed a multi-plexed assay for detecting ICI efficacy.MethodsNine NSCLC and 11 melanoma primary tumor samples were dissociated to single cells, classified for immune checkpoint expression and cell content by flow cytometry, and seeded for spheroid formation. Spheroids were treated with pembrolizumab, nivolumab, atezolizumab, ipilimumab or durvalumab across a range of concentrations and monitored for cytotoxicity at 24-hours and viability at 72-hours by multiplexing CellTox™ Green Cytotoxicity Assay and CellTiter-Glo® 3D Cell Viability Assay. IFNγ and granzyme B secretion was assessed using Luminex technology. ICI response was evaluated by determining the concentration-response relationship for all three read-outs.ResultsIncreased IFNγ and granzyme B were detected for every ICI in one or more patient samples. ICI-induced IFNγ secretion inversely correlated with PD-1+ immune cells. Durvalumab was significantly more cytotoxic for both NSCLC and melanoma spheroids compared to the other ICIs and significantly reduced spheroid viability with mean spheroid survival decreasing to 19.5% for NSCLC and 58.2% for melanoma. We evaluated if there was an association between durvalumab response and cell composition and found that percent spheroid survival significantly correlated with CD8+ T-cells for both NSCLC (r=-0.7920, p=0.0191) and melanoma (r=-0.6918, p=0.0390). Furthermore, CD8+ T-cells correlated with durvalumab-induced granzyme B secretion for NSCLC (r=-0.7645, p=0.0271) and melanoma (r=-0.7419, p=0.0221).ConclusionsIn this study we show ICI-specific increases in immune-related analytes in a concentration-dependent manner for NSCLC and melanoma patient-derived spheroids. We detected spheroid cytotoxicity following short term ICI treatment which closely mirrored decreased spheroid viability at a later timepoint. Finally, we can decipher response mechanisms as exemplified by durvalumab-induced granzyme B secretion correlating with the presence of CD8+ T-cells which results in reduced spheroid viability for both tested cancer indications.

scholarly journals Peripheral Levels of EPCs, T Cells, and Macrophages’ as Possible Predictive Biomarkers of Acute Myocardial Infarction

2020 ◽  
Author(s):  
Amankeldi Salybekov ◽  
Katsuaki Sakai ◽  
Makoto Natsumeda ◽  
Kosit Vorateera ◽  
Shuzo Kobayashi ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
T Cells ◽  
Cd8 T Cells ◽  
Immune Cell ◽  
Temporal Dynamics ◽  
Predictive Biomarkers ◽  
Mortality And Morbidity ◽  
Patients With Diabetes ◽  
Functionally Impaired

Abstract Acute myocardial infarction (AMI), with a very relevant global disease burden, remains the major mortality and morbidity cause among all cardiovascular diseases. Patient prognosis is strictly dependent on early diagnosis and the adoption of adequate interventions. AMI diagnosis requires constant optimization, particularly considering the individuals at higher risk (or more vulnerable to worse outcomes) such as patients with diabetes mellitus and atherosclerosis. Herein, we investigated the levels of peripheral blood EPCs and immune cell-subsets from myeloid and lymphoid lineages, as well as their temporal dynamics, in the quest for new prognostic biomarkers of AMI. We collected blood from 18 hospitalized patients (days 3 and 7 after AMI onset) and 16 healthy volunteers, and resolved their circulating PBMC populations via flow cytometry. Overall, our data demonstrate a significant decrease in peripheral EPCs and CD8+ T cells, three days following an AMI. EPCs appear to be functionally impaired in AMI patients, and their circulating numbers associate with cardiac vessel lesions. Furthermore, CD8+ T cells (and even M1-macrophages) in the periphery, in combination with the classical laboratory determinations, may serve as high accuracy biomarkers of AMI, potentially aiding to prevent worse AMI outcomes.

GDF15 expression in metastatic colorectal cancer.

2021 ◽  
Vol 39 (3_suppl) ◽  
pp. 116-116
Author(s):  
Priya Jayachandran ◽  
Joanne Xiu ◽  
Shivani Soni ◽  
Richard M. Goldberg ◽  
Benjamin Adam Weinberg ◽  
...  
Keyword(s):  
Colon Cancer ◽  
T Cells ◽  
Nk Cells ◽  
Chromatin Remodeling ◽  
Cancer Progression ◽  
Cd8 T Cells ◽  
Immune Cell ◽  
Checkpoint Inhibitors ◽  
Metastatic Colon Cancer ◽  
Genomic Alterations

116 Background: Cachexia affects many cancer patients. Growth differentiation factor-15 (GDF15) is a protein that regulates weight and the stress response of cells. The GDF15 gene encodes a ligand of TGF-beta that triggers cachexia and modulates the progression from tumorigenesis to metastasis. Inhibition of GDF15 with an antibody restored muscle mass and fat in animal models. Serum levels rise in proportion to the progression of colon cancer, predict outcome, and have been correlated with CEA. Methods: We retrospectively reviewed 7607 CRC tumors profiled by Caris Life Sciences (Phoenix, AZ) from 2019 to 2020. Profiling included whole transcriptome sequencing (RNA-Seq by NovoSeq). Tumor mutational burden, mismatch repair status, and pathway genomic alterations were evaluated. QuantiSEQ was used to assess immune cell infiltration in the tumor microenvironment. Results: GDF15 expression ranged from 0 to 593 transcripts per million (TPM) with median of 30 (IQR = 15.02). There was no association with age, sex, or primary tumor sidedness. MSI-H/dMMR tumors had higher GDF15 expression (median 37 vs 30, p = 0.0004); TMB > = 17 tumors was seen in 5.9% of bottom quartile (Q1) GDF15 expressors and 8.3% of top quartile (Q4). PDL1 IHC positivity was inversely correlated with GDF15 expression (7.1% in Q1 vs. 2.6% in Q4, p < 0.0001). Genomic alterations associated with higher GDF15 expression (Q4 vs Q1) included genes on TGF-B (SMAD2/4), PI3K (PIK3CA, MTOR), chromatin remodeling (ARID1A, KMT2C), DDR (ATM) and Wnt pathway (APC); those inversely associated included MYC CNA and TP53. Q1 tumors had higher CNA of ERBB2 and FGFR1. Relative neutrophils and NK cells in the TME increased from Q1 to Q4 (p < 0.001). There was a decrease in CD8+ T-cells and Treg cells from Q1 to Q4. Conclusions: GDF15 expression correlates with increased dMMR/MSI-H and TMB, but not with PDL1 expression. Mutations and activated pathways associated with GDF15 expression may explain increased cachexia with more aggressive disease. The association with chromatin remodeling may warrant therapies targeting histone modification and epigenetics. The increase in NK cells but decrease in CD8+ T cells in the TME with increasing GDF15 suggests approaches to treatment. Higher CD8+ lymphocyte counts correlate with PFS with immunotherapy. Anti-PD-L1 therapy reinvigorates the killing function of CD8+ T cells. The decrease in CD8+ T cells and PDL1 positivity with rising GDF15 suggests worse outcome and a lack of response to anti-PDL1 therapy. NK cell checkpoint inhibitors, CARs, and an anti-GFRAL antibody are now in clinical trials and might be utilized in high GDF15 cancers. GDF15 is emerging as a target in the treatment of obesity and cachexia and as a prognostic marker in oncology. Understanding its expression in metastatic colon cancer may reveal which patients could benefit from developing anti-GDF15 targeted therapies against cancer progression.

scholarly journals IMMU-18. IMMUNOGENOMIC RESPONDER PHENOTYPE FROM A PHASE I TRIAL OF ANTI-LAG3 OR ANTI-CD137 ALONE AND IN COMBINATION WITH ANTI-PD-1 IN PATIENTS WITH RECURRENT GBM

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi122-vi123
Author(s):  
Christina Jackson ◽  
John Choi ◽  
JiaJia Zhang ◽  
Anna Piotrowski ◽  
Tobias Walbert ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Cd8 T Cells ◽  
Peripheral Blood ◽  
Mononuclear Cells ◽  
Checkpoint Inhibitors ◽  
Lower Percentage ◽  
Radiographic Evaluation ◽  
Peripheral Blood Mononuclear ◽  
Initial Resection

Abstract BACKGROUND Immune checkpoint inhibitors (ICIs) are not uniformly effective in glioblastoma treatment. Immunogenomic determinants may identify patients who are most likely to benefit from these therapies. Therefore, we compared the immunogenomic phenotype of a responder to combination anti-LAG-3 and anti-PD-1 therapy to non-responders. METHODS We performed T cell receptor (TCR) sequencing and gene expression analysis on pre-treatment, post-chemoradiation, and post-immunotherapy tumor specimens of glioblastoma patients treated with anti-LAG3 in combination with anti-PD-1 after first recurrence (NCT02658981, ongoing). We evaluated T cell clonotypes and immunophenotype of serially collected peripheral blood mononuclear cells (PBMCs) during treatment using multi-parametric flow cytometry. RESULTS To date, six patients have been enrolled in the initial anti-LAG-3 and anti-PD-1 cohort. One patient demonstrated complete response, one had stable disease, and four had progressive disease by radiographic evaluation. The responder demonstrated substantially higher TCR clonality in the resected tumor at initial diagnosis compared to non-responders (mean 0.028 vs. 0.005). Shared tumor infiltrating clonotypes with pre-immunotherapy PBMCs exhibited an increase in frequency from initial resection (6.8%) to resection at recurrence (20%). The responder’s tumor at initial resection exhibited increased gene signatures of PD1low CD8+ T cells, chemokine signaling, and interferon gamma pathways. On PBMC phenotypic analysis, the responder demonstrated significantly higher percentages of CD137+ CD8+T cells (median 8.38% vs 3.24%, p=0.02) and lower percentages of Foxp3+CD137+ CD4+T cells compared to non-responders (median 18.5% vs. 38.5%, p=0.006). Interestingly, dynamic analysis of PBMCs showed that the responder demonstrated a lower percentage of PD1+ CD8+ T cells pre-immunotherapy (median 2.5% vs.12.4%, p=0.002), with persistent decrease over the course of treatment while non-responders showed no consistent pattern. CONCLUSION Our preliminary results demonstrate significant differences in tumor and peripheral blood immunogenomic characteristics between responder and non-responders to anti-LAG3 and anti-PD-1 therapy. These immunogenomic characteristics may help stratify patients’ response to combination ICIs.

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