Evidence map›Paper›PMID 29321622›Full record

ArticleScientific reports2018

Evaluation of a developmental hierarchy for breast cancer cells to assess risk-based patient selection for targeted treatment.

Sarah A Bliss, Sunirmal Paul, Piotr W Pobiarzyn, Seda Ayer, Garima Sinha, Saumya Pant, Holly Hilton, Neha Sharma, Maria F Cunha, Daniel J Engelberth and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Exosomes in the Healthy and Malignant Bone Marrow Microenvironment.Advances in experimental medicine and biology · 2021
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Cancer Stem Cells or Tumor Survival Cells?Stem cells and development · 2018
    Article
  19. 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

16 authors at 5 institutions in 2 countries.

Sarah A BlissRutgers New Jersey Medical School, Newark, NJ, USA.
Sunirmal PaulRutgers New Jersey Medical School, Newark, NJ, USA.
Piotr W PobiarzynRutgers New Jersey Medical School, Newark, NJ, USA.
Seda AyerRutgers New Jersey Medical School, Newark, NJ, USA.
Garima SinhaRutgers New Jersey Medical School, Newark, NJ, USA.
Saumya PantBiocon Bristol Myers Squibb R&D Center, Bangalore, India.
Holly HiltonPPD Laboratories, Wilmington, NC, USA.
Neha SharmaRutgers School of Graduate Studies at New Jersey Medical School, Newark, NJ, USA.
Maria F CunhaRutgers New Jersey Medical School, Newark, NJ, USA.
Daniel J EngelberthRutgers New Jersey Medical School, Newark, NJ, USA.
Steven J GrecoRutgers New Jersey Medical School, Newark, NJ, USA.
Margarette BryanRutgers New Jersey Medical School, Newark, NJ, USA.
Magdalena J KuciaUniversity of Louisville, Louisville, KY, USA.
Sham S KakarUniversity of Louisville, Louisville, KY, USA.
Mariusz Z RatajczakUniversity of Louisville, Louisville, KY, USA.
Pranela RameshwarRutgers New Jersey Medical School, Newark, NJ, USA. rameshwa@njms.rutgers.edu.
Rutgers, The State University of New Jersey · USRutgers New Jersey Medical SchoolUniversity of Louisville · USBiocon (India) · INWilmington University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study proposes that a novel developmental hierarchy of breast cancer (BC) cells (BCCs) could predict treatment response and outcome. The continued challenge to treat BC requires stratification of BCCs into distinct subsets. This would provide insights on how BCCs evade treatment and adapt dormancy for decades. We selected three subsets, based on the relative expression of octamer-binding transcription factor 4 A (Oct4A) and then analysed each with Affymetrix gene chip. Oct4A is a stem cell gene and would separate subsets based on maturation. Data analyses and gene validation identified three membrane proteins, TMEM98, GPR64 and FAT4. BCCs from cell lines and blood from BC patients were analysed for these three membrane proteins by flow cytometry, along with known markers of cancer stem cells (CSCs), CD44, CD24 and Oct4, aldehyde dehydrogenase 1 (ALDH1) activity and telomere length. A novel working hierarchy of BCCs was established with the most immature subset as CSCs. This group was further subdivided into long- and short-term CSCs. Analyses of 20 post-treatment blood indicated that circulating CSCs and early BC progenitors may be associated with recurrence or early death. These results suggest that the novel hierarchy may predict treatment response and prognosis.

Indexed as

Biomarkers, TumorComputational BiologyGene Expression ProfilingTranscriptomeAdultAgedAged, 80 and overAldehyde Dehydrogenase 1 FamilyBreast NeoplasmsFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansImmunophenotypingIsoenzymesMiddle AgedAldehyde Dehydrogenase 1 FamilyALDH1A1 protein, humanBiomarkers, TumorIsoenzymesRetinal Dehydrogenase

Identifiers

PMID29321622
PMCPMC5762675
OpenAlexW2782501184

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.