Evidence map›Paper›PMID 28235762›Full record

ArticleCancer research2017

Cellular Hierarchy as a Determinant of Tumor Sensitivity to Chemotherapy.

Ignacio A Rodriguez-Brenes, Antonina V Kurtova, Christopher Lin, Yu-Cheng Lee, Jing Xiao, Martha Mims, Keith Syson Chan, Dominik Wodarz

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 22 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 1 institution in 1 country.

Ignacio A Rodriguez-BrenesDepartment of Ecology and Evolutionary Biology, University of California, Irvine, California.
Antonina V KurtovaProgram in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, Texas.
Christopher LinDepartment of Ecology and Evolutionary Biology, University of California, Irvine, California.
Yu-Cheng LeeDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas.
Jing XiaoDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas.
Martha MimsDun L Duncan Cancer Center, Baylor College of Medicine, Baylor College of Medicine, Houston, Texas.
Keith Syson ChanDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas. dwodarz@uci.edu kc1@bcm.edu.
Dominik WodarzDepartment of Ecology and Evolutionary Biology, University of California, Irvine, California. dwodarz@uci.edu kc1@bcm.edu.
Baylor College of Medicine · US

Funding

Distinct Tumor and Metastatic Collagen Microenvironments: Divergent Targeting ApproachesR01CA175397 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI CHAN, KEITH SYSON · 2013 to 2025
$4.8M
Aspirin and Cancer Prevention in Lynch Syndrome: From Cell to Population DataU01CA187956 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI GOEL, AJAY, WODARZ, DOMINIK F · 2014 to 2018
$2.7M
NCI NIH HHS R01 CA175397NCI NIH HHS U01 CA187956
6 · The paper itself

Abstract

Chemotherapy has been shown to enrich cancer stem cells in tumors. Recently, we demonstrated that administration of chemotherapy to human bladder cancer xenografts could trigger a wound-healing response that mobilizes quiescent tumor stem cells into active proliferation. This phenomenon leads to a loss of sensitivity to chemotherapy partly due to an increase in the number of tumor stem cells, which typically respond to chemotherapy-induced cell death less than more differentiated cells. Different bladder cancer xenografts, however, demonstrate differential sensitivities to chemotherapy, the basis of which is not understood. Using mathematical models, we show that characteristics of the tumor cell hierarchy can be crucial for determining the sensitivity of tumors to drug therapy, under the assumption that stem cell enrichment is the primary basis for drug resistance. Intriguingly, our model predicts a weaker response to therapy if there is negative feedback from differentiated tumor cells that inhibits the rate of tumor stem cell division. If this negative feedback is less pronounced, the treatment response is predicted to be enhanced. The reason is that negative feedback on the rate of tumor cell division promotes a permanent rise of the tumor stem cell population over time, both in the absence of treatment and even more so during drug therapy. Model application to data from chemotherapy-treated patient-derived xenografts indicates support for model predictions. These findings call for further research into feedback mechanisms that might remain active in cancers and potentially highlight the presence of feedback as an indication to combine chemotherapy with approaches that limit the process of tumor stem cell enrichment.

Indexed as

Models, TheoreticalCell Line, TumorDrug Resistance, NeoplasmHumansLung NeoplasmsNeoplastic Stem CellsXenograft Model Antitumor Assays

Identifiers

PMID28235762
PMCPMC5487257
OpenAlexW2589332930

What OpenQuestion holds

Textmetadata
LicenceTDM
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.