Evaluation of disease staging and chemotherapeutic response in non-small cell lung cancer from patient tumor-derived metabolomic data

HA Miller, X Yin, SA Smith, X Hu, X Zhang, J Yan… - Lung cancer, 2021 - Elsevier
Objectives Despite extensive effort, the search for clinically-relevant metabolite biomarkers
for early detection, disease monitoring, and outcome prediction in lung cancer remains …

Mathematical modeling of tumor-associated macrophage interactions with the cancer microenvironment

G Mahlbacher, LT Curtis, J Lowengrub… - … for immunotherapy of …, 2018 - Springer
Background Immuno-oncotherapy has emerged as a promising means to target cancer. In
particular, therapeutic manipulation of tumor-associated macrophages holds promise due to …

Modeling of tumor response to macrophage and T lymphocyte interactions in the liver metastatic microenvironment

LT Curtis, S Sebens, HB Frieboes - Cancer Immunology, Immunotherapy, 2021 - Springer
The dynamic interactions between macrophages and T-lymphocytes in the tumor
microenvironment exert both antagonistic and synergistic functions affecting tumor growth …

Evaluation of lung cancer patient response to first-line chemotherapy by integration of tumor core biopsy metabolomics with multiscale modeling

HA Miller, DM Miller, VH van Berkel… - Annals of biomedical …, 2023 - Springer
The standard of care for intermediate (Stage II) and advanced (Stages III and IV) non-small
cell lung cancer (NSCLC) involves chemotherapy with taxane/platinum derivatives, with or …

Computational/experimental evaluation of liver metastasis post hepatic injury: interactions with macrophages and transitional ECM

SV Hudson, HA Miller, GE Mahlbacher, D Saforo… - Scientific reports, 2019 - nature.com
The complex interactions between subclinical changes to hepatic extracellular matrix (ECM)
in response to injury and tumor-associated macrophage microenvironmental cues …

Modeling of combination chemotherapy and immunotherapy for lung cancer

LT Curtis, HB Frieboes - … Conference of the IEEE Engineering in …, 2019 - ieeexplore.ieee.org
Cancer has traditionally been studied from a basic science perspective, focusing on the
underlying biology, physiology, and biochemistry. Engineering has supplemented this effort …

Multicompartment modeling of protein shedding kinetics during vascularized tumor growth

GB Machiraju, P Mallick, HB Frieboes - Scientific Reports, 2020 - nature.com
Identification of protein biomarkers for cancer diagnosis and prognosis remains a critical
unmet clinical need. A major reason is that the dynamic relationship between proliferating …

An inflection point in cancer protein biomarkers: what was and what's next

AD Barker, MM Alba, P Mallick, DB Agus… - Molecular & Cellular …, 2023 - ASBMB
Biomarkers remain the highest value proposition in cancer medicine today—especially
protein biomarkers. Despite decades of evolving regulatory frameworks to facilitate the …

[图书][B] Strategies for Analyzing Spatial Single Cell Data

HB Boyce - 2021 - search.proquest.com
There are multiple levels of heterogeneity within the tumor microenvironment from molecular
heterogeneity, to heterogeneity in cellular populations. This heterogeneity is a major factor …

SYSTEMS BIOLOGY AND PREDICTIVE NEUROSCIENCE: A DOUBLE HELICAL APPROACH: with Fraser Watts and Michael J. Reiss,“Holistic Biology: What It Is and …

H Wiseman - Zygon®, 2017 - Wiley Online Library
This article explores the overlap between systems biology and predictive neuroscience,
placing them in their larger context, the contemporary trend of bioinformatic convergence …