Evidence map›Paper›PMID 29340046›Full record

ArticleOncotarget2017

Sampling from single-cell observations to predict tumor cell growth

Alexander T Pearson, Patrick Ingram, Shoumei Bai, Patrick O'Hayer, Jaehoon Chung, Euisik Yoon, Trachette Jackson, Ronald J Buckanovich

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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 6 institutions in 2 countries.

Alexander T PearsonSection of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, USA.
Patrick IngramDepartment of Biomedical Engineering, University of Wisconsin, Madison, WI, USA.
Shoumei BaiMagee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA, USA.
Patrick O'HayerUniversity of Michigan School of Medicine, Ann Arbor, Michigan, MI, USA.
Jaehoon ChungInstitute of Microelectronics, Science and Engineering Research Council of the Agency for Science, Technology and Research, Singapore.
Euisik YoonDepartment of Electrical Engineering and Computer Science, University of Michigan College of Engineering, Ann Arbor, MI, USA.
Trachette JacksonDepartment of Applied Mathematics, University of Michigan, Michigan, Ann Arbor, MI, USA.
Ronald J BuckanovichMagee-Womens Research Institute, University of Pittsburgh, Pittsburgh, PA, USA.
University of Michigan–Ann Arbor · USMagee-Womens Research Institute · USScience and Engineering Research Council · SGUniversity of Chicago · USUniversity of Pittsburgh · USUniversity of Wisconsin–Madison · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
CELLULAR AND MOLECULAR BIOLOGY AT MICHIGANT32GM007315 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PUTHENVEEDU, MANOJKUMAR A · 1985 to 2021
$12.8M
Targeting Ovarian Tumor Associated Myeloid Cells with Nanoparticles TherapeuticsR01CA163345 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BUCKANOVICH, RONALD J · 2012 to 2016
$1.6M
A reasoned approach to combination therapy development in head and neck cancerK08DE026500 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PEARSON, ALEXANDER THOMAS · 2016 to 2020
$800k
NCI NIH HHS P30 CA046592NCI NIH HHS R01 CA163345NIDCR NIH HHS K08 DE026500NIGMS NIH HHS T32 GM007315
6 · The paper itself

Abstract

Cancer stem-like cells (CSCs) are a topic of increasing importance in cancer research, but are difficult to study due to their rarity and ability to rapidly divide to produce non-self-cells. We developed a simple model to describe transitions between aldehyde dehydrogenase (ALDH) positive CSCs and ALDH(-) bulk ovarian cancer cells. Microfluidics device-isolated single cell experiments demonstrated that ALDH+ cells were more proliferative than ALDH(-) cells. Based on our model we used ALDH+ and ALDH(-) cell division and proliferation properties to develop an empiric sampling algorithm and predict growth rate and CSC proportion for both ovarian cancer cell line and primary ovarian cancer cells,

Indexed as

cancer modelingcancer stem cellEGFL6microfluidicsovarian cancer

Identifiers

PMID29340046
PMCPMC5762314
OpenAlexW2770229170

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.