Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What 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 registry
The 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.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
15 authors.
Alvaro Sanchez-HerreroInstitute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia.ORCID 0000-0002-6346-2822
Isabel A CalvoCentro de Investigación Médica Aplicada (CIMA), IDISNA-Instituto de Investigación Biosanitaria de Navarra, 31008 Pamplona, Spain.ORCID 0000-0001-6619-4571
Maria Flandes-IparraguirreCentro de Investigación Médica Aplicada (CIMA), IDISNA-Instituto de Investigación Biosanitaria de Navarra, 31008 Pamplona, Spain.
Marietta LandgrafInstitute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia.
Christoph A LahrInstitute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia.
Abbas ShafieeInstitute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia.ORCID 0000-0002-8885-9025
Froilán Granero-MoltoCentro de Investigación Médica Aplicada (CIMA), IDISNA-Instituto de Investigación Biosanitaria de Navarra, 31008 Pamplona, Spain.ORCID 0000-0003-4817-5232
Borja SaezCentro de Investigación Médica Aplicada (CIMA), IDISNA-Instituto de Investigación Biosanitaria de Navarra, 31008 Pamplona, Spain.ORCID 0000-0001-7908-7089
Manuel M MazoCentro de Investigación Médica Aplicada (CIMA), IDISNA-Instituto de Investigación Biosanitaria de Navarra, 31008 Pamplona, Spain.ORCID 0000-0002-6250-5579
Bruno PaivaCentro de Investigación Médica Aplicada (CIMA), IDISNA-Instituto de Investigación Biosanitaria de Navarra, 31008 Pamplona, Spain.
Elena de Juan PardoTranslational 3d Printing Laboratory for Advanced Tissue Engineering (T3mPLATE), Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, The University of Western Australia, Perth 6009, Australia.ORCID 0000-0001-9005-7497
Andrew NicolUniversity of Queensland, Greenslopes Private Hospital, Brisbane, QLD 4120, Australia.
Felipe ProsperCentro de Investigación Médica Aplicada (CIMA), IDISNA-Instituto de Investigación Biosanitaria de Navarra, 31008 Pamplona, Spain.ORCID 0000-0001-6115-8790
Laura J BrayInstitute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia.ORCID 0000-0002-1174-0018
Jacqui A McGovernInstitute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Kelvin Grove, Queensland 4059, Australia.ORCID 0000-0002-4993-6745
Funding
AECC, CRUK and AICR Accelerator ProgramCIBERONC CB16/12/00489Fundación Ramón Areces PREMAMMInstituto de Salud Carlos III (ISCIII) PI17/00701International Myeloma Foundation Briand D Novis Junior Researcher AwardMINECO Explora RTHALMYQatar National Research Fund 7-916-3-237
6 · The paper itself
Abstract
Despite the bone marrow microenvironment being widely recognised as a key player in cancer research, the current animal models that represent a human haematopoietic system lack the contribution of the humanised marrow microenvironment. Here we describe a murine model that relies on the combination of an orthotopic humanised tissue-engineered bone construct (ohTEBC) with patient-specific bone marrow (BM) cells to create a humanised bone marrow (hBM) niche capable of supporting the engraftment of human haematopoietic cells. Results showed that this model supports the engraftment of human CD34
Indexed as
bone marrowCD34+ haematopoietic stem cellhumanised mouse modelmultiple myelomatissue engineeringtumour microenvironment
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Engineering a Humanised Niche to Support Human Haematopoiesis in Mice: Novel Opportunities in Modelling Cancer. · full record | OpenQuestion