Evidence map›Paper›PMID 28289331›Full record

ArticleCancer cell international2017

Screening of breast cancer stem cell inhibitors using a protein kinase inhibitor library.

Hack Sun Choi, Dal-Ah Kim, Heesung Chung, In Ho Park, Bo Hye Kim, Eok-Soo Oh, Duk-Hee Kang

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Anticancer and Antimutagenic Properties ofWorld journal of oncology · 2023
    Article
  6. Article
  7. Dihydroconiferyl Ferulate Isolated fromPharmaceuticals (Basel, Switzerland) · 2022
    Article
  8. Review
  9. Article
  10. Article
  11. 6-Methoxymellein Isolated from Carrot (Molecules (Basel, Switzerland) · 2020
    Article
  12. Article
  13. Betavulgarin Isolated from Sugar Beet (Molecules (Basel, Switzerland) · 2020
    Article
  14. Caudatin Isolated fromBiomolecules · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

7 authors at 3 institutions in 1 country.

Hack Sun Choi *The Division of Nephrology, Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, 07985 Republic of Korea.
Dal-Ah Kim *The Division of Nephrology, Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, 07985 Republic of Korea.
Heesung ChungDepartment of Life Science, The Research Center for Cellular Homeostasis, Ewha Womans University, Seoul, 03760 Republic of Korea.
In Ho ParkDepartment of Microbiology, Yonsei University College of Medicine, Seoul, 03722 Republic of Korea.
Bo Hye KimDivision of Translational and Clinical Research II, Hematologic Malignancy Branch, National Cancer Center, Goyang-si, Gyeonggi-do 10408 Republic of Korea.
Eok-Soo OhDepartment of Life Science, The Research Center for Cellular Homeostasis, Ewha Womans University, Seoul, 03760 Republic of Korea.
Duk-Hee KangThe Division of Nephrology, Department of Internal Medicine, Ewha Womans University School of Medicine, Seoul, 07985 Republic of Korea.ORCID 0000-0001-8475-8932
Ewha Womans University · KRNational Cancer Center · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer stem cells (CSCs), a subpopulation in tumors, are known to cause drug resistance, tumor recurrence and metastasis. Based on the characteristic formation of mammospheres in in vitro conditions, the mammosphere formation assay has become an essential tool for quantifying CSC activity in breast cancer research. However, manual counting of mammospheres is a time-consuming process that is not amenable to high-throughput screening, and there are occasional inaccuracies in the process of determining the mammosphere diameter. In this study, we proposed a novel automated counting method of mammosphere using the National Institute of Standards and Technology (NIST)'s Integrated Colony Enumerator (NICE) with a screening of protein kinase library.

methodsHuman breast cancer cell line MCF-7 was used for evaluation of tumor sphere efficiency, migration, and phenotype transition. Cell viability was assessed using MTT assay, and CSCs were identified by an analysis of CD44 expression and ALDEFLUOR assay using flow cytometry. Automated counting of mammosphere using NICE program was performed with a comparison to the result of manual counting. After identification of inhibitors to ameliorate CSC formation by screening a library of 79 protein kinase inhibitors using automated counting in primary, secondary and tertiary mammosphere assay, the effect of selected kinase inhibitors on migration, colony formation and epithelial-to-mesenchymal transition (EMT) of MCF-7 cells was investigated.

resultsAutomated counting of mammosphere using NICE program was an easy and less time-consuming process (<1 min for reading 6-well plate) which provided a comparable result with manual counting. Inhibition of calcium/calmodulin-dependent protein kinase II (CaMKII), Janus kinase-3 (JAK-3), and IκB kinase (IKK) were identified to decrease the formation of MCF-7-derived CSCs in primary, secondary and tertiary mammosphere assay. These protein kinase inhibitors alleviated TGF-β1-induced migration, colony formation and EMT of MCF-7 cells.

conclusionsWe have developed a novel automated cell-based screening method which provided an easy, accurate and reproducible way for mammosphere quantification. This study is the first to show the efficacy of an automated medium-throughput mammosphere-counting method in CSC-related research with an identification of protein kinase inhibitors to ameliorate CSC formation.

Indexed as

Breast cancerCancer stem cellMammosphereProtein kinase inhibitor

Identifiers

PMID28289331
PMCPMC5307923
OpenAlexW2588632793

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.