4.8 Editorial Material

Immunoactivating the tumor microenvironment enhances immunotherapy as predicted by integrative computational model

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.2001050117

关键词

-

资金

  1. NIH [R01CA138264, U01CA212007, R01CA196701]
  2. AstraZeneca
  3. Boehringer Ingelheim

向作者/读者索取更多资源

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Review Biochemistry & Molecular Biology

Mechanistic Computational Models of MicroRNA-Mediated Signaling Networks in Human Diseases

Chen Zhao, Yu Zhang, Aleksander S. Popel

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2019)

Article Biochemistry & Molecular Biology

Suppression of Ocular Vascular Inflammation through Peptide-Mediated Activation of Angiopoietin-Tie2 Signaling

Adam C. Mirando, Raquel Lima e Silva, Zenny Chu, Peter A. Campochiaro, Niranjan B. Pandey, Aleksander S. Popel

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2020)

Article Oncology

Quantitative systems pharmacology model predictions for efficacy of atezolizumab and nab-paclitaxel in triple-negative breast cancer

Hanwen Wang, Huilin Ma, Richard J. Sove, Leisha A. Emens, Aleksander S. Popel

Summary: This study introduces a modular quantitative systems pharmacology (QSP) platform for predicting immunotherapy efficacy and identifying predictive biomarkers. Virtual clinical trials were conducted using a virtual patient cohort generated by the model, with retrospective analysis and model validation based on clinical trial data.

JOURNAL FOR IMMUNOTHERAPY OF CANCER (2021)

Article Oncology

A Spatial Quantitative Systems Pharmacology Platform spQSP-IO for Simulations of Tumor-Immune Interactions and Effects of Checkpoint Inhibitor Immunotherapy

Chang Gong, Alvaro Ruiz-Martinez, Holly Kimko, Aleksander S. Popel

Summary: The study aims to develop a platform that combines the strengths of QSP and ABM models to create a cancer development model in the context of anti-cancer immunity and immune checkpoint inhibition therapy, which can be applied in virtual clinical trials and biomarker discovery.

CANCERS (2021)

Article Mathematical & Computational Biology

A systems biology model of junctional localization and downstream signaling of the Ang-Tie signaling pathway

Yu Zhang, Christopher D. Kontos, Brian H. Annex, Aleksander S. Popel

Summary: The Ang-Tie signaling pathway plays a crucial role in vascular growth and stability, with dysregulation leading to vascular dysfunction and various diseases. A mechanistic computational model has been developed to understand the complex molecular mechanisms of this pathway and predict potential therapeutic strategies for inflammatory endothelial cells.

NPJ SYSTEMS BIOLOGY AND APPLICATIONS (2021)

Article Oncology

Quantitative Spatial Profiling of Immune Populations in Pancreatic Ductal Adenocarcinoma Reveals Tumor Microenvironment Heterogeneity and Prognostic Biomarkers

Haoyang Mi, Shamilene Sivagnanam, Courtney B. Betts, Shannon M. Liudahl, Elizabeth M. Jaffee, Lisa M. Coussens, Aleksander S. Popel

Summary: Quantitative image analysis of PDAC specimens reveals intertumoral and intratumoral heterogeneity of immune populations and identifies spatial immune architectures that are significantly associated with disease prognosis.

CANCER RESEARCH (2022)

Review Pharmacology & Pharmacy

The tumor microenvironment and triple-negative breast cancer aggressiveness: shedding light on mechanisms and targeting

Natsuki Furukawa, Vered Stearns, Cesar A. Santa-Maria, Aleksander S. Popel

Summary: Compared to other subtypes of breast cancer, there are limited targeted therapy options for triple-negative breast cancer (TNBC). Research has shown that not only cancer cells, but also stromal cells and immune cells in the tumor microenvironment (TME) play significant roles in the progression of TNBC. Therefore, understanding the components of the TME and the interactions between different cell populations is critical.

EXPERT OPINION ON THERAPEUTIC TARGETS (2022)

Article Oncology

Quantifying Intratumoral Heterogeneity and Immunoarchitecture Generated In-Silico by a Spatial Quantitative Systems Pharmacology Model

Mehdi Nikfar, Haoyang Mi, Chang Gong, Holly Kimko, Aleksander S. Popel

Summary: This study introduces a new approach to quantitatively validate the performance of a hybrid spatio-temporal method called spatial quantitative systems pharmacology (spQSP). The study uses a compartmental QSP model and a spatial agent-based model to simulate the effect of anti-PD-1 therapy on tumor growth dynamics and intratumoral heterogeneity. Four spatial metrics and the ratio of cancer cells to immune cells are used to categorize the tumor microenvironment and evaluate the efficacy of the treatment. The results of this study can facilitate future research on specific cancer types, different therapeutics, and immunopathological samples.

CANCERS (2023)

Article Oncology

Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibition

Hanwen Wang, Theinmozhi Arulraj, Holly Kimko, Aleksander S. Popel

Summary: QSP models can be used to generate virtual patients and predict drug response. This study used immunogenomic data and pharmacokinetic data to generate virtual patients for non-small cell lung cancer (NSCLC) and predicted clinical response to PD-L1 inhibition.

NPJ PRECISION ONCOLOGY (2023)

Article Multidisciplinary Sciences

A transcriptome-informed QSP model of metastatic triple-negative breast cancer identifies predictive biomarkers for PD-1 inhibition

Theinmozhi Arulraj, Hanwen Wang, Leisha A. Emens, Cesar A. Santa-Maria, Aleksander S. Popel

Summary: This study developed a quantitative systems pharmacology model based on transcriptome information to predict and identify response to anti-PD-1 therapy in patients with triple-negative breast cancer. The results suggest that certain features can serve as biomarkers individually or in combination to predict treatment response and guide potential therapeutic strategies.

SCIENCE ADVANCES (2023)

Article Mathematical & Computational Biology

Experiment-based computational model predicts that IL-6 classic and trans-signaling exhibit similar potency in inducing downstream signaling in endothelial cells

Min Song, Youli Wang, Brian H. Annex, Aleksander S. Popel

Summary: Inflammatory cytokine mediated responses play an important role in the development of diseases associated with angiogenesis. However, targeting angiogenesis as a strategy has shown limited effectiveness, possibly due to the interdependent role between inflammation and angiogenesis. This study focuses on IL-6-mediated intracellular signaling in endothelial cells and develops a computational model to quantitatively characterize its effects. The model predicts the dose-dependency of IL-6 classic and trans-signaling induced responses and identifies influential species and parameters in modulating downstream signals. Overall, the model provides insights into IL-6 signaling in endothelial cells and can be used to identify potential targets for modulating angiogenesis.

NPJ SYSTEMS BIOLOGY AND APPLICATIONS (2023)

Article Pharmacology & Pharmacy

Eliciting the antitumor immune response with a conditionally activated PD-L1 targeting antibody analyzed with a quantitative systems pharmacology model

Alberto Ippolito, Hanwen Wang, Yu Zhang, Vahideh Vakil, Hojjat Bazzazi, Aleksander S. Popel

Summary: Conditionally activated molecules, such as Probody therapeutics, are investigated for their potential to improve antitumoral response while reducing systemic toxicity. This study used a quantitative systems pharmacology model to evaluate the effectiveness and targeting specificity of an anti-PD-L1 Probody therapeutic compared to the non-modified antibody. The results suggest that optimizing the design parameters of the Probody therapeutic can increase its efficacy.

CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY (2023)

Article Oncology

Regulation of the tumor immune microenvironment and vascular normalization in TNBC murine models by a novel peptide

Adam C. Mirando, Akash Patil, Christine I. Rafie, Brian J. Christmas, Niranjan B. Pandey, Vered Stearns, Elizabeth M. Jaffee, Evanthia T. Roussos Torres, Aleksander S. Popel

ONCOIMMUNOLOGY (2020)

Article Multidisciplinary Sciences

Tumor Ensemble-Based Modeling and Visualization of Emergent Angiogenic Heterogeneity in Breast Cancer

Spyros K. Stamatelos, Akanksha Bhargava, Eugene Kim, Aleksander S. Popel, Arvind P. Pathak

SCIENTIFIC REPORTS (2019)

暂无数据