Evidence map›Paper›PMID 27478871›Full record

ArticleTomography (Ann Arbor, Mich.)2016

Imaging Sensitivity of Quiescent Cancer Cells to Metabolic Perturbations in Bone Marrow Spheroids.

Stephen P Cavnar, Annie Xiao, Anne E Gibbons, Andrew D Rickelmann, Taylor Neely, Kathryn E Luker, Shuichi Takayama, Gary D Luker

Open access · goldAbstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 26% of its field
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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

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

8 authors at 2 institutions in 1 country.

Stephen P CavnarDepartment of Biomedical Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan, 48109, USA; Biointerfaces Institute, University of Michigan College of Engineering, Ann Arbor, Michigan, 48109, USA.
Annie XiaoCenter for Molecular Imaging, Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan, 48109, USA.
Anne E GibbonsCenter for Molecular Imaging, Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan, 48109, USA.
Andrew D RickelmannCenter for Molecular Imaging, Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan, 48109, USA.
Taylor NeelyCenter for Molecular Imaging, Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan, 48109, USA.
Kathryn E LukerCenter for Molecular Imaging, Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan, 48109, USA.
Shuichi TakayamaDepartment of Biomedical Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan, 48109, USA; Biointerfaces Institute, University of Michigan College of Engineering, Ann Arbor, Michigan, 48109, USA; Department of Macromolecular Science and Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan, 48109, USA.
Gary D LukerDepartment of Biomedical Engineering, University of Michigan College of Engineering, Ann Arbor, Michigan, 48109, USA; Center for Molecular Imaging, Department of Radiology, University of Michigan Medical School, Ann Arbor, Michigan, 48109, USA; Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, Michigan, 48109, USA.
University of Michigan–Ann Arbor · USBioSurfaces (United States) · US

Funding

Proteogenomics of Cancer Training ProgramT32CA140044 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, ARVIND, SARTOR, MAUREEN AGNES · 2010 to 2024
$3.9M
Modeling Therapy of Disseminated Cancer Cells in Bone Marrow (PQ 17)R01CA170198 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUKER, GARY D, TAKAYAMA, SHUICHI · 2012 to 2015
$1.4M
NCI NIH HHS R01 CA170198NCI NIH HHS T32 CA140044
6 · The paper itself

Abstract

Malignant cells from breast cancer and other common cancers such as prostate and melanoma may persist in bone marrow as quiescent, non-dividing cells that remain viable for years or even decades before resuming proliferation to cause recurrent disease. This phenomenon, referred to clinically as tumor dormancy, poses tremendous challenges to curing patients with breast cancer. Quiescent tumor cells resist chemotherapy drugs that predominantly target proliferating cells, limiting success of neo-adjuvant and adjuvant therapies. We recently developed a 3D spheroid model of quiescent breast cancer cells in bone marrow for mechanistic and drug testing studies. We combined this model with optical imaging methods for label-free detection of cells preferentially utilizing glycolysis versus oxidative metabolism to investigate the metabolic state of co-culture spheroids with different bone marrow stromal and breast cancer cells. Through imaging and biochemical assays, we identified different metabolic states of bone marrow stromal cells that control metabolic status and flexibilities of co-cultured breast cancer cells. We tested metabolic stresses and targeted inhibition of specific metabolic pathways to identify approaches to preferentially eliminate quiescent breast cancer cells from bone marrow environments. These studies establish an integrated imaging approach to analyze metabolism in complex tissue environments to identify new metabolically-targeted cancer therapies.

Indexed as

bone marrowfluorescence lifetime imagingmetastasisOptical metabolic imagingquiescence

Identifiers

PMID27478871
PMCPMC4963031
OpenAlexW2515560644

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.