Alexis L. Scott
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Alexis L. Scott has a total of 26 co-authors. Here are the top co-authors by number of shared publications:
- Adam Yasgar
National Center for Advancing Translational Sciences
29 shared publications - Alexey V. Zakharov
National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA
29 shared publications - Anton Simeonov
National Institutes of Health
29 shared publications - Emma E. Furth
Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
29 shared publications - Ganesha Rai
National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA
29 shared publications - Graham P. Lobel
Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania
29 shared publications
Latest Publications
- Open Access
- 5 June 2024
- Published by Wiley in Advanced Healthcare Materials
- Vol. 13 (28) , e2401719
Paracrine Ovarian Cancer Cell‐Derived CSF1 Signaling Regulates Macrophage Migration Dynamics in a 3D Microfluidic Model that Recapitulates In Vivo Infiltration Patterns in Patient‐Derived Xenografts
A high density of macrophages in the ovarian cancer microenvironment is associated with disease progression and poor outcomes. Understanding cancer‐macrophage interaction mechanisms that establish this pro‐tumorigenic microenvironment is critical for developing macrophage‐targeted therapies. Here, 3D microfluidic assays and patient‐derived xenografts are utilized to define the role of cancer‐derived colony stimulating factor 1 (CSF1) on macrophage infiltration dynamics toward ovarian cancer cells. It is demonstrated that multiple ovarian cancer models promote the infiltration of macrophages into a 3D extracellular matrix in vitro in a cell density‐dependent manner. Macrophages exhibit directional migration and increased migration speed under both direct interactions with cancer cells embedded within the matrix and paracrine crosstalk with cancer cells seeded in an independent microchannel. It is also found that platinum‐based chemotherapy increases macrophage recruitment and the levels of cancer cell‐derived CSF1. Targeting CSF1 signaling under baseline or chemotherapy‐treatment conditions reduces the number of infiltrated macrophages. It is further shown that results obtained with the 3D microfluidic model reflect the recruitment profiles of macrophages in patient‐derived xenografts in vivo. These findings highlight the role of CSF1 signaling in establishing macrophage‐rich ovarian cancer microenvironments, as well as the utility of microfluidic models in recapitulating 3D tumor ecosystems and dissecting cancer‐macrophage signaling.
- 5 June 2024
- Published by Wiley in Advanced Healthcare Materials
- Vol. 13 (28) , e2401719
Open AccessParacrine Ovarian Cancer Cell‐Derived CSF1 Signaling Regulates Macrophage Migration Dynamics in a 3D Microfluidic Model that Recapitulates In Vivo Infiltration Patterns in Patient‐Derived Xenografts
A high density of macrophages in the ovarian cancer microenvironment is associated with disease progression and poor outcomes. Understanding cancer‐macrophage interaction mechanisms that establish this pro‐tumorigenic microenvironment is critical for developing macrophage‐targeted therapies. Here, 3D microfluidic assays and patient‐derived xenografts are utilized to define the role of cancer‐derived colony stimulating factor 1 (CSF1) on macrophage infiltration dynamics toward ovarian cancer cells. It is demonstrated that multiple ovarian cancer models promote the infiltration of macrophages into a 3D extracellular matrix in vitro in a cell density‐dependent manner. Macrophages exhibit directional migration and increased migration speed under both direct interactions with cancer cells embedded within the matrix and paracrine crosstalk with cancer cells seeded in an independent microchannel. It is also found that platinum‐based chemotherapy increases macrophage recruitment and the levels of cancer cell‐derived CSF1. Targeting CSF1 signaling under baseline or chemotherapy‐treatment conditions reduces the number of infiltrated macrophages. It is further shown that results obtained with the 3D microfluidic model reflect the recruitment profiles of macrophages in patient‐derived xenografts in vivo. These findings highlight the role of CSF1 signaling in establishing macrophage‐rich ovarian cancer microenvironments, as well as the utility of microfluidic models in recapitulating 3D tumor ecosystems and dissecting cancer‐macrophage signaling.
- Open Access
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S4 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Supplementary Figure S4 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S4 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Supplementary Figure S4 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
- Open Access
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S6 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Supplementary Figure S6 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S6 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Supplementary Figure S6 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
- Open Access
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Supplementary Data Legends from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Legends for supplementary figures and tables.
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Data Legends from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Legends for supplementary figures and tables.
- Open Access
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Supplementary Table 3 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Safetyscreen assay for C86 performed at eurofins.
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table 3 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Safetyscreen assay for C86 performed at eurofins.
- Open Access
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S7 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Supplementary Figure S7 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S7 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Supplementary Figure S7 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
- Open Access
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S2 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Supplementary Figure S2 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S2 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Supplementary Figure S2 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
- Open Access
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Supplementary Table 2 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Table comparing various key pharmacokinetic parameters (Assay, left column) between C-91 and C-86.
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table 2 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Table comparing various key pharmacokinetic parameters (Assay, left column) between C-91 and C-86.
- Open Access
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Supplementary Table 1 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table 1 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
- Open Access
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Supplementary Figure S6 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Supplementary Figure S6 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
- 2 February 2024
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure S6 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma
Supplementary Figure S6 from RALDH1 Inhibition Shows Immunotherapeutic Efficacy in Hepatocellular Carcinoma