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  • 1
    In: Journal of Thoracic Oncology, Elsevier BV, Vol. 17, No. 4 ( 2022-04), p. 558-567
    Type of Medium: Online Resource
    ISSN: 1556-0864
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
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  • 2
    In: Clinical & Translational Immunology, Wiley, Vol. 11, No. 1 ( 2022-01)
    Abstract: AXL‐mediated activation of aberrant tyrosine kinase drives various oncogenic processes and facilitates an immunosuppressive microenvironment. We evaluated the anti‐tumor and anti‐metastatic activities of SKI‐G‐801, a small‐molecule inhibitor of AXL, alone and in combination with anti‐PD‐1 therapy. Methods In vitro pAXL inhibition by SKI‐G‐801 was performed in both human and mouse cancer cell lines. Immunocompetent mouse models of tumor were established to measure anti‐metastatic potential of SKI‐G‐801. Furthermore, SKI‐G‐801, anti‐PD‐1 or their combination was administered as an adjuvant or neoadjuvant in the 4T1 tumor model to assess their potential for clinical application. Results SKI‐G‐801 robustly inhibited pAXL expression in various cell lines. SKI‐G‐801 alone or in combination with anti‐PD‐1 potently inhibited metastasis in B16F10 melanoma, CT26 colon and 4T1 breast models. SKI‐G‐801 inhibited the growth of B16F10 and 4T1 tumor‐bearing mice but not immune‐deficient mice. An antibody depletion assay revealed that CD8 + T cells significantly contributed to SKI‐G‐801‐mediated survival. Anti‐PD‐1 and combination group were observed the increased CD8 + Ki67 + and effector T cells and M1 macrophage and decreased M2 macrophage, and granulocytic myeloid‐derived suppressor cell (G‐MDSC) compared to the control group. The neoadjuvant combination of SKI‐G‐801 and anti‐PD‐1 therapy achieved superior survival benefits by inducing more profound T‐cell responses in the 4T1 syngeneic mouse model. Conclusion SKI‐G‐801 significantly suppressed tumor metastasis and growth by enhancing anti‐tumor immune responses. Our results suggest that SKI‐G‐801 has the potential to overcome anti‐PD‐1 therapy resistance and allow more patients to benefit from anti‐PD‐1 therapy.
    Type of Medium: Online Resource
    ISSN: 2050-0068 , 2050-0068
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
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  • 3
    In: Therapeutic Advances in Medical Oncology, SAGE Publications, Vol. 14 ( 2022-01), p. 175883592110687-
    Abstract: Predictive markers for treatment response and survival outcome have not been identified in patients with advanced non-small-cell lung cancer (NSCLC) receiving chemoimmunotherapy. We aimed to evaluate whether imaging biomarkers of 18 F-fluorodeoxyglucose ( 18 F-FDG) positron emission tomography/computed tomography (PET/CT) and routinely assessed clinico-laboratory values were associated with clinical outcomes in patients with advanced NSCLC receiving pembrolizumab plus platinum-doublet chemotherapy as a first-line treatment. Methods: We retrospectively enrolled 52 patients with advanced NSCLC who underwent baseline 18 F-FDG PET/CT before treatment initiation. PET/CT parameters and clinico-laboratory variables, constituting the prognostic immunotherapy scoring system, were collected. Optimal cut-off values for PET/CT parameters were determined using the maximized log-rank test for progression-free survival (PFS). A multivariate prediction model was developed based on Cox models for PFS, and a scoring system was established based on hazard ratios of the predictive factors. Results: During the median follow-up period of 16.7 months (95% confidence interval: 15.7–17.7 months), 43 (82.7%) and 31 (59.6%) patients experienced disease progression and death, respectively. Objective response was observed in 23 (44.2%) patients. In the multivariate analysis, maximum standardized uptake value, metabolic tumour volume 2.5 , total lesion glycolysis 2.5 , and bone marrow-to-liver uptake ratio from the PET/CT variables and neutrophil-to-lymphocyte ratio (NLR) from the clinico-laboratory variables were independently associated with PFS. The scoring system based on these independent predictive variables significantly predicted the treatment response, PFS, and overall survival. Conclusion: PET/CT variables and NLR were useful biomarkers for predicting outcomes of patients with NSCLC receiving pembrolizumab and chemotherapy as a first-line treatment, suggesting their potential as effective markers for combined PD-1 blockade and chemotherapy.
    Type of Medium: Online Resource
    ISSN: 1758-8359 , 1758-8359
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
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  • 4
    Online Resource
    Online Resource
    Elsevier BV ; 2019
    In:  International Journal of Radiation Oncology*Biology*Physics Vol. 105, No. 5 ( 2019-12), p. 1065-1073
    In: International Journal of Radiation Oncology*Biology*Physics, Elsevier BV, Vol. 105, No. 5 ( 2019-12), p. 1065-1073
    Type of Medium: Online Resource
    ISSN: 0360-3016
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
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  • 5
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2019
    In:  Cancer Research Vol. 79, No. 13_Supplement ( 2019-07-01), p. 4081-4081
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 4081-4081
    Abstract: Introduction: MERTK is thought to play a role in cancer immune evasion mechanism based on M2 type macrophage-driven immunosuppression in tumor microenvironment (TME). Thus, MERTK is a highly promising target for anti-cancer therapy under high tumor associated macrophages (TAMs) condition. We evaluated the anti-tumor effects and immune reaction of combination or single MERTK inhibitor in two lung squamous patients derived xenograft (PDX) tumor engrafted Hu-CD34-NSG models. Methods: The aPD-1 sensitive (YHIM2004) and aPD-1 non-sensitive (YHIM2009) squamous cell carcinoma PDX models were selected from pre-test with pembrolizumab. The selected two models were composed four groups; control, pembrolizumab, MERTK inhibitor, and combination. We applied pembrolizumab as aPD-1 blockade (10 mpk, q2w, i.p. inj.). The dose of MERTK inhibitor was 50 mpk, q1d by orally. The treatment was started when tumor size reached 100 mm3. Whole exome sequencing (WES), microarray (mRNA), flow cytometry, and multispectral image analysis were performed on the tumors. To elucidate the involvement of MERTK inhibitor in tumor, the tumor mutation burden, tumor microenvironment and immune cell phenotype were deconvoluted. Results: The TMB of YHIM2004 and YHIM2009 was 3.23 and 2.64 (mutations/Mb) respectively. The PD-L1 and TIL level of YHIM2004 were relatively higher than YHIM2009. Both two models were observed high macrophage in tumor. The two PDX-models, YHIM2004 (aPD-1 sensitive), YHIM2009 (aPD-1 non-sensitive) were observed anti-tumor effects in MERTK inhibitor single treatment groups (TGI = 44.23%, 67.40% respectively, p & lt; 0.05, t-test). Especially, YHIM2004 tumor was reduced after combination therapy more than single treatment. Of note, the NOG-PDX model demonstrated no anti-tumor effect in MERTK inhibitor monotherapy, suggesting that this drug involves anti-cancer immune responses. Flow cytometry data showed increased PD-1+ and granzyme B+ T cells (p & lt;0.05, t-test) in the combined group (YHIM2004) and MERTK inhibitor monotherapy group (YHIM2009) as much as the tumor suppressive effect. Conclusion: We concluded that MERTK signaling involves regulation of anti-cancer immune responses. Our results suggest an anti-cancer therapeutics of MERTK selective inhibitor on aPD-1 sensitive or non-sensitive tumors under high TAM tumor microenvironment. Citation Format: Kyoung-Ho Pyo, Ha-Ni Cho, Chun-Feng Xin, Jae Seok Cho, Han Na Kang, Jiyeon Yun, Hye Ryun Kim, Byoung Chul Cho. Efficacy of MERTK inhibitor in combination with pembrolizumab in lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4081.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 6
    In: Therapeutic Advances in Medical Oncology, SAGE Publications, Vol. 14 ( 2022-01), p. 175883592211417-
    Abstract: The clinical utility of plasma tumor mutational burden (pTMB) requires further validation. Herein, the pTMB and genetic alterations were investigated as predictive biomarkers for anti-PD-1 monotherapy outcome in metastatic non-small cell lung cancer (NSCLC). Methods: The GuardantOMNI panel (Guardant Health) was used to identify pTMB and genetic alterations. Data from 99 patients with metastatic NSCLC treated with pembrolizumab or nivolumab in first-, second-, or third-line settings between June 2016 and December 2020 were collected. Associations between pTMB and clinical benefit rate (CBR, stable disease ⩾6 months or partial response), progression-free survival (PFS), and overall survival (OS) were assessed. Results: Median pTMB in 84 patients was 10.8 mutations/megabase (mut/Mb). Histological analyses revealed that 61 and 36% of the patients had adenocarcinomas and squamous NSCLC, respectively. Most patients were treated with nivolumab (74%) and most anti-PD-1 agents were administered as second-line treatment (70%). The median follow-up duration was of 10.9 months (range, 0.2–40.7). Patients with high pTMB (⩾19 mut/Mb) had a higher CBR (69%) compared with low pTMB patients (33%; p = 0.01). ARID1A ( p = 0.007) and either ERBB2 or KIT mutations ( p = 0.012) were positive and negative determinants, respectively, for clinical benefit. Multivariate analysis further showed that high pTMB was an independent predictive biomarker for both PFS [hazard ratio (HR) = 0.44, 95% confidence interval (CI): 0.22–0.88, p = 0.02] and OS (HR = 0.37, 95% CI: 0.18–0.76, p = 0.007). Conclusion: High pTMB (⩾19 mut/Mb) is significantly associated with CBR in patients with NSCLC treated with anti-PD-1 agents.
    Type of Medium: Online Resource
    ISSN: 1758-8359 , 1758-8359
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
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  • 7
    In: Journal of Cancer Research and Clinical Oncology, Springer Science and Business Media LLC, Vol. 145, No. 6 ( 2019-6), p. 1613-1623
    Type of Medium: Online Resource
    ISSN: 0171-5216 , 1432-1335
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 1459285-X
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  • 8
    In: Oncotarget, Impact Journals, LLC, Vol. 7, No. 21 ( 2016-05-24), p. 30691-30701
    Type of Medium: Online Resource
    ISSN: 1949-2553
    URL: Issue
    Language: English
    Publisher: Impact Journals, LLC
    Publication Date: 2016
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  • 9
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 79, No. 13_Supplement ( 2019-07-01), p. 683-683
    Abstract: Cancer immunotherapy with anti-PD-1 therapy (αPD-1) has greatly improved the survival outcome of patients with non-small cell lung cancer (NSCLC). However, the response rates of αPD-1 are around 20-30% based on clinical trials. The presence of PD-L1, tumor infiltrating lymphocyte or tumor mutation burden may be used as indicators of response, but are still limited to predict αPD-1 response. In this study, we established the machine learning based clinical decision support system (CDSS) to predict the αPD-1 response by comprehensively combining clinical information and blood-based data which are easily assessable in routine practice.We enrolled 126 patients with NSCLC treated with the αPD-1 at Yonsei cancer center. Clinical data including patient characteristics, mutation, treatment outcomes, and adverse events were collected and analyzed. Forty patients additionally had blood-based immune data by flow cytometry. There were two data sets; clinical data set (n=126) with 15 variables, and immune data set (n=40) with 37 variables. We found that 27 variables out of 52 variables are selected by recursive feature elimination. The responders are defined as PR or SD ≥6 months and the non-responders are defined as the others. Supervised learning algorithms such as the LASSO, Ridge, Elastic Net, SVM, ANN, and RF were applied to each data set for predicting the αPD-1 response. The performances of each model were evaluated according to the ROC curve or cross-validation errors. Variable importance was measured by using the random forest and gradient boosting.Patient characteristics included male (69.8%), age ≥ 60 years (66.2%), ECOG 0/1 (77.7%), adenocarcinoma (69.8%), EGFR mutations (15.1%), and PD-L1 positive (61.2%). We classified the patients into responders (38%) and non-responders (62%) in total 126 patients. A result from the clinical data set of 126 patients demonstrated that the Ridge regression model (AUC: 0.78) can more accurately predict the αPD-1 response than others. Of 15 clinical variables, some are considered to be important in the following order; tumor burden,age, PD-L1, ECOG PS, and irAE based on the random forest. When we performed the machine learning process with clinical and immune data, The Ridge regression model (AUC:0.82) showed the good performance to predict αPD-1 response, compared to the single clinical model. The machine learning based CDSS for aPD-1 to NSCLC patients has benefit for predicting aPD-1 responses. Our prediction model could be easily accessible and fast processed in routine practice. The supervised machine learning based non-invasive predictive score (NIPS) demonstrates the rate of aPD-1 response on NSCLC patients. We will validate NIPS in independent patient cohort and currently are establishing the NIPS as web-based software. Citation Format: Kyoung-Ho Pyo, Beung-Chul Ahn, Chun-Feng Xin, Dongmin Jung, Chang Gon Kim, Min Hee Hong, Byoung Chul Cho, Hye Ryun Kim. A machine learning based clinical decision support system (CDSS) for anti-PD-1 therapy using non-invasive blood marker and clinical information for lung cancer patients [abstract]. In: Proceedings of the American As sociation for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 683.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
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  • 10
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 81, No. 13_Supplement ( 2021-07-01), p. 1826-1826
    Abstract: Introduction: GI-101 was designed to address the significant unmet needs in immunotherapy for noninflamed tumor. The harmonized mechanisms of action consist of the extracellular domain of CD80 acting as a CTLA-4 inhibitor, together with a long-acting IL-2 variant that preferentially binds to the IL2Rβ. Therefore, GI-101 can play a role in the activation of cytotoxic immune cells and inhibition of CTLA-4-B7.1 axis-based immune suppression. Methods: The binding affinity of GI-101 to IL-2Rs, CTLA-4, and CD28 was performed by SPR and immune cell proliferation was analyzed by CFSE assay in vitro. GI-101 induced dose-dependent pharmacodynamics effects with consistent magnitude following repeat administration in monkeys. Direct anti-tumor effect of GI-101 was tested by single or combination treatment manner in multiple syngeneic and humanized models. Immune profiling in TME was analyzed by flow cytometry, IHC and IFN-γ ELISPOT assay. To mimic the standard care (SOC) in clinic, TC1 lung cancer model was involved in evaluating the efficacy of both 1st line and maintenance therapy of GI-101 with or without immuno-chemotherapy (Cisplatin, Pemetrexed, and anti-PD-1). Results: CD80 of GI-101 highly binds to CTLA-4 (Kd, 2.9nM), acting as a decoy ligand. IL-2 variant induces CD8+ T and NK cell proliferation. However, GI-101 had no evidence of toxicity related to IL-2 activity in the non-GLP monkey study, including vascular leakage syndrome and cytokine storm. GI-101 elicits improved restoration of immune functions in human PBMCs co-cultured setting with PD-L1/CTLA-4 co-expressed tumor cells. A dose-dependent (3 to 12 mg/kg) single inhibition of tumor growth was observed in CT26 syngeneic model. Immune profiling revealed a robust increase of M1 macrophages, CD8+ central memory T (Tcm) and NK cells but not Tregs in TME. Splenocyte tumor-specific immune cells were strongly proliferated when stimulated with CT26 neoantigens (gp70). IFN-γ+ T cells were significantly increased in draining lymph nodes from GI-101 treated mice. Furthermore, GI-101 was superior at inhibiting tumor growth when co-treated with anti-PD-1 in syngeneic (MC38, TC1, and B16F10) and MDA-MB-231 humanized mice models. Finally, the combination of GI-101 and immuno-chemotherapy showed not only suppressed tumor growth but also improved survival compared to immuno-chemotherapy alone. Conclusion: The complementary modes of action of GI-101 via checkpoint blockade and IL-2 activity to enhance the proliferation and activation of Tcm and NK cells are projected to translate into superior clinical efficacy and safety as indicated even in ‘cold tumor' models. GI-101 has promising potential to replace the first-generation ICBs as a monotherapy or in combination with other immunotherapies. Our findings provide a rationale for further clinical investigations. Citation Format: Kyoung-Ho Pyo, Young Jun Koh, Chun-Bong Synn, Jae Hwan Kim, Youngseon Byeon, Ha Ni Jo, Young Seob Kim, Wongeun Lee, Do Hee Kim, Seul Lee, Dong Kwon Kim, Eun ji Lee, Beung-Chul Ahn, Min Hee Hong, Myoung Ho Jang, Sun Min Lim, Hye Ryun Kim, Su Youn Nam, Byoung Chul Cho. Comprehensive preclinical study on GI-101, a novel CD80-IgG4-IL2 variant protein, as a therapeutic antibody candidate with bispecific immuno-oncology target [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1826.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
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