2021
DOI: 10.1007/s40883-021-00237-8
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Ancestral Background Is Underreported in Regenerative Engineering

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Cited by 14 publications
(4 citation statements)
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References 11 publications
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“…Patient-derived organoids are also an opportunity to better understand sex- and ancestry-driven differences in TME dynamics, which has thus far not been addressed. Given the emerging information on sex- and ancestry-driven differences in cell sourcing and disease [ 103 105 ], this is a critical gap in matrisome knowledge. Yet, organoids do not often sustain/include stromal cells and thus their TME remains limited.…”
Section: Experimentally Modeling the Dynamic Tmementioning
confidence: 99%
“…Patient-derived organoids are also an opportunity to better understand sex- and ancestry-driven differences in TME dynamics, which has thus far not been addressed. Given the emerging information on sex- and ancestry-driven differences in cell sourcing and disease [ 103 105 ], this is a critical gap in matrisome knowledge. Yet, organoids do not often sustain/include stromal cells and thus their TME remains limited.…”
Section: Experimentally Modeling the Dynamic Tmementioning
confidence: 99%
“…This overt lack of inclusivity exacerbates disparity in treatment outcomes. A recent article surveyed the biomedical research landscape in regenerative engineering to conclude that ancestral background was significantly under-reported in preclinical in vitro studies ( Ryan et al, 2021 ). We aim to show here that the under-representation of ethnically diverse enrollees in clinical cancer trials ( Aldrighetti et al, 2021 ) can in part be improved with expansive and inclusive preclinical cancer research.…”
Section: Powerful Opportunities In Preclinical Cancer Modelsmentioning
confidence: 99%
“…Tissue engineering approaches often rely on cells of unknown origin or that lack diversity related to sex, age, and ethnicity [14, 15]. Indeed, bone healing can be influenced by many factors including pre-existing health conditions, age, and sex.…”
Section: Introductionmentioning
confidence: 99%