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229 Discovery of ganglioside GM2 activator as a novel proteomic biomarker associated with response to treatment in first-line melanoma subjects treated with PD-1 immunotherapy

Journal for immunotherapy of cancer, 2020-11, Vol.8 (Suppl 3), p.A247-A247

2020

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59 Integrating deep proteomics profiling with survival analysis to identify novel biomarkers of response to PD-1 blockade in NSCLC patients

Journal for immunotherapy of cancer, 2020-11, Vol.8 (Suppl 3), p.A37-A38

2020

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90 Unbiased proteomic profiling leads to the discovery of a novel non-invasive blood-based protein panel with significant positive predictive value in pancreatic and colorectal cancers

Journal for immunotherapy of cancer, 2021-11, Vol.9 (Suppl 2), p.A99-A99

2021

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Abstract 1267: Dual approach using unbiased proteomics and multiplexed immunofluorescence for the detection of markers predictive for immunotherapy in melanoma patients

Cancer research (Chicago, Ill.), 2022-06, Vol.82 (12_Supplement), p.1267-1267

2022

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Abstract 1615: Immune-related adverse effects (irAEs) associated proteomic profile in late-stage NSCLC patients after PD-1 blockade

Cancer research (Chicago, Ill.), 2021-07, Vol.81 (13_Supplement), p.1615-1615

2021

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Abstract 1623: Response and skin toxicity related protein signature in late stage melanoma patients after anti-PD-1 treatment

Cancer research (Chicago, Ill.), 2021-07, Vol.81 (13_Supplement), p.1623-1623

2021

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Abstract 21: LiP-MS, a machine learning-based chemoproteomic approach to identify drug targets in complex proteomes

Cancer research (Chicago, Ill.), 2021-07, Vol.81 (13_Supplement), p.21-21

2021

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Abstract 2755: Limited proteolysis coupled to mass spectrometry (LiP-MS), a novel drug target deconvolution strategy

Cancer research (Chicago, Ill.), 2019-07, Vol.79 (13_Supplement), p.2755-2755

2019

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Abstract 2924: Target identification, selectivity profiling and mechanistic insights of a Cdk9 inhibitor using complementary proteomics methods

Cancer research (Chicago, Ill.), 2022-06, Vol.82 (12_Supplement), p.2924-2924

2022

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Abstract 4077: Quantitative proteomics reveals novel immunomodulatory pathways of resistance to PARP therapy

Cancer research (Chicago, Ill.), 2020-08, Vol.80 (16_Supplement), p.4077-4077

2020

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Abstract 4547: High dimensional proteomic profiling of immune cell subsets with data-independent acquisition mass spectrometry

Cancer research (Chicago, Ill.), 2019-07, Vol.79 (13_Supplement), p.4547-4547

2019

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Abstract 927: Deep proteomic profiling of CD4+ and CD8+ T cell-depleted tumor models in PD-1 treatment

Cancer research (Chicago, Ill.), 2020-08, Vol.80 (16_Supplement), p.927-927

2020

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Abstract C078: Pembrolizumab response in melanoma patients: an analysis of the tumor microenvironment

Molecular cancer therapeutics, 2023-12, Vol.22 (12_Supplement), p.C078-C078

2023

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Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage. Performance of Human Experts and a Deep Learning

Bildverarbeitung Für Die Medizin 2024, 2024, p.10-10

2024

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Circulating Proteins Associated with Anti-IL6 Receptor Therapeutic Resistance in the Sera of Patients with Severe COVID-19

Journal of proteome research, 2024-11, Vol.23 (11), p.5001-5015

2024

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A Combined Proteomic and Transcriptomic Signature Is Predictive of Response to Anti-PD-1 Treatment: A Retrospective Study in Metastatic Melanoma Patients

International journal of molecular sciences, 2024-08, Vol.25 (17), p.9345

2024

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Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm

Veterinary pathology, 2023-01, Vol.60 (1), p.75-85

2023

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Different syngeneic tumors show distinctive intrinsic tumor-immunity and mechanisms of actions (MOA) of anti-PD-1 treatment

Scientific reports, 2022-02, Vol.12 (1), p.3278-3278, Article 3278

2022

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Evaluation of blood-based proteomic biomarkers associated with response to anti-PD-1 treatment in NSCLC

Journal of clinical oncology, 2020-05, Vol.38 (15_suppl), p.e21531-e21531

2020

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Mechanistic Insights into a CDK9 Inhibitor Via Orthogonal Proteomics Methods

ACS chemical biology, 2022-01, Vol.17 (1), p.54-67

2022

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Recapitulating the Binding Affinity of Nrf2 for KEAP1 in a Cyclic Heptapeptide, Guided by NMR, X‑ray Crystallography, and Machine Learning

Journal of the American Chemical Society, 2021-03, Vol.143 (10), p.3779-3793

2021

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229 Discovery of ganglioside GM2 activator as a novel proteomic biomarker associated with response to treatment in first-line melanoma subjects treated with PD-1 immunotherapy

59 Integrating deep proteomics profiling with survival analysis to identify novel biomarkers of response to PD-1 blockade in NSCLC patients

90 Unbiased proteomic profiling leads to the discovery of a novel non-invasive blood-based protein panel with significant positive predictive value in pancreatic and colorectal cancers

Abstract 1267: Dual approach using unbiased proteomics and multiplexed immunofluorescence for the detection of markers predictive for immunotherapy in melanoma patients

Abstract 1615: Immune-related adverse effects (irAEs) associated proteomic profile in late-stage NSCLC patients after PD-1 blockade

Abstract 1623: Response and skin toxicity related protein signature in late stage melanoma patients after anti-PD-1 treatment

Abstract 21: LiP-MS, a machine learning-based chemoproteomic approach to identify drug targets in complex proteomes

Abstract 2755: Limited proteolysis coupled to mass spectrometry (LiP-MS), a novel drug target deconvolution strategy

Abstract 2924: Target identification, selectivity profiling and mechanistic insights of a Cdk9 inhibitor using complementary proteomics methods

Abstract 4077: Quantitative proteomics reveals novel immunomodulatory pathways of resistance to PARP therapy

Abstract 4547: High dimensional proteomic profiling of immune cell subsets with data-independent acquisition mass spectrometry

Abstract 927: Deep proteomic profiling of CD4+ and CD8+ T cell-depleted tumor models in PD-1 treatment

Abstract C078: Pembrolizumab response in melanoma patients: an analysis of the tumor microenvironment

Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage. Performance of Human Experts and a Deep Learning

Circulating Proteins Associated with Anti-IL6 Receptor Therapeutic Resistance in the Sera of Patients with Severe COVID-19

A Combined Proteomic and Transcriptomic Signature Is Predictive of Response to Anti-PD-1 Treatment: A Retrospective Study in Metastatic Melanoma Patients

Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm

Different syngeneic tumors show distinctive intrinsic tumor-immunity and mechanisms of actions (MOA) of anti-PD-1 treatment

Evaluation of blood-based proteomic biomarkers associated with response to anti-PD-1 treatment in NSCLC

Mechanistic Insights into a CDK9 Inhibitor Via Orthogonal Proteomics Methods

Recapitulating the Binding Affinity of Nrf2 for KEAP1 in a Cyclic Heptapeptide, Guided by NMR, X‑ray Crystallography, and Machine Learning

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