ArticleNature reviews bioengineering2023
Synthetic living materials in cancer biology.
Shelly R Peyton, Lesley W Chow, Stacey D Finley, Ashlee N Ford Versypt, Reginald Hill, Melissa L Kemp, Ellen M Langer, Alison P McGuigan, Aaron S Meyer, Stephanie K Seidlits and 2 more
Abstract read
In one paragraphArticle in Nature reviews bioengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Shelly R PeytonDepartment of Chemical Engineering, University of Massachusetts Amherst.
Lesley W ChowDepartments of Materials Science and Engineering & Bioengineering, Lehigh University.
Stacey D FinleyDepartments of Biomedical Engineering & Quantitative and Computational Biology, University of Southern California.
Ashlee N Ford VersyptDepartment of Chemical and Biological Engineering, University at Buffalo, The State University of New York.
Reginald HillLawrence J. Ellison Institute for Transformative Medicine; Keck School of Medicine, University of Southern California.
Melissa L KempThe NSF Engineering Research Center for Cell Manufacturing Technologies (CMaT).
Ellen M LangerDivision of Oncological Sciences; Knight Cancer Institute, Oregon Health & Science University, Portland, OR.
Alison P McGuiganDepartment of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Canada.
Aaron S MeyerDepartment of Bioengineering, University of California Los Angeles, United States.
Stephanie K SeidlitsDepartment of Biomedical Engineering, University of Texas at Austin.
Krishnendu RoyThe NSF Engineering Research Center for Cell Manufacturing Technologies (CMaT).
Shannon M MumenthalerLawrence J. Ellison Institute for Transformative Medicine; Keck School of Medicine, University of Southern California.
Funding
Model-based Prediction of Redox-Modulated Responses to Cancer TreatmentsU01CA215848 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI FURDUI, CRISTINA MARIA, KEMP, MELISSA LAMBETH · 2017 to 2021
$3.6MMultiscale systems biology modeling to exploit tumor-stromal metabolic crosstalk in colorectal cancerU01CA232137 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FINLEY, STACEY DELERIA, MACKLIN, PAUL T · 2018 to 2022
$2.8MQuantitative Systems Biomedicine and Pharmacology for Multiscale Tissue DamageR35GM133763 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Ashlee Nicole Ford Versypt · 2019 to 2026
$2.7MPersonalization and Failure Testing of Dual Switch Gene Drives in Lung CancerU01CA265709 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI PRITCHARD, JUSTIN · 2021 to 2025
$2.6MPrecision lung cancer therapy design through multiplexed adapter measurementU01CA215709 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HAURA, ERIC B., MEYER, AARON SAMUEL · 2017 to 2021
$2.3MA microengineered colon cancer-chip designed to investigate tumor-stromal interactions driving cancer progressionR01CA241137 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MUMENTHALER, SHANNON MICHELLE · 2021 to 2025
$2.3MMulti-organ-on-chip device for modeling opioid reinforcement and withdrawal, and the negative affective component of pain: a therapeutic screening tool.UG3TR003148 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ASHAMMAKHI, NUREDDIN, KHADEMHOSSEINI, ALI · 2019 to 2021
$2.1MTissue-Engineered Models of Microvessel-Mediated Glioblastoma InvasionR01CA241927 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI SEIDLITS, STEPHANIE KRISTIN · 2020 to 2024
$1.9MNCATS NIH HHS UG3 TR003148NCI NIH HHS R01 CA241137NCI NIH HHS R01 CA241927NCI NIH HHS U01 CA215709NCI NIH HHS U01 CA215848NCI NIH HHS U01 CA232137NCI NIH HHS U01 CA265709NIGMS NIH HHS R35 GM133763
6 · The paper itselfAbstract
Living materials, which are either made of and by living cells or synthetic with programmable elements catered to cells within, are environmentally responsive and can self-repair, allowing for controlled and predictable interactions with biological systems. Such features can also be achieved in purely synthetic materials by using chemical approaches to create dynamic and responsive materials that can undergo programmed changes, that can be remodelled by cells in a predictive way, sense their microenvironment and report back, or respond to remote triggers to rearrange in physical or chemical ways. In this Review, we discuss synthetic approaches to design such cell- and environment-responsive living materials, with a particular focus on their application in cancer. We highlight how synthetic and systems biology approaches can be implemented in the design of synthetic living materials and outline key cancer-related applications, including modelling of tumour heterogeneity, the tumour microenvironment and tumour evolution in response to therapy. Finally, we emphasize the importance of inclusive designs that should be based on an understanding of how health and disease manifest and impact humans from all racial and ethnic backgrounds, skin colors, sex, and genders.
Identifiers
PMID41716482
PMCPMC12915890
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