Evidence map›Paper›PMID 37841442›Full record

ArticleFrontiers in oncology2023

Phenotypic heterogeneity drives differential disease outcome in a mouse model of triple negative breast cancer.

Archana P Thankamony, Sonny Ramkomuth, Shikha T Ramesh, Reshma Murali, Priyanka Chakraborty, Nitheesh Karthikeyan, Binitha Anu Varghese, Vishnu Sunil Jaikumar, Mohit Kumar Jolly, Alexander Swarbrick and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. 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
2.1field-weighted citation impact, top 12% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. 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

11 authors at 4 institutions in 2 countries.

Archana P ThankamonyRajiv Gandhi Centre for Biotechnology, Trivandrum, Kerala, India.
Sonny RamkomuthThe Kinghorn Cancer Centre and Cancer Research Theme, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
Shikha T RameshRajiv Gandhi Centre for Biotechnology, Trivandrum, Kerala, India.
Reshma MuraliRajiv Gandhi Centre for Biotechnology, Trivandrum, Kerala, India.
Priyanka ChakrabortyCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Nitheesh KarthikeyanRajiv Gandhi Centre for Biotechnology, Trivandrum, Kerala, India.
Binitha Anu VargheseRajiv Gandhi Centre for Biotechnology, Trivandrum, Kerala, India.
Vishnu Sunil JaikumarRajiv Gandhi Centre for Biotechnology, Trivandrum, Kerala, India.
Mohit Kumar JollyCentre for BioSystems Science and Engineering, Indian Institute of Science, Bangalore, India.
Alexander SwarbrickThe Kinghorn Cancer Centre and Cancer Research Theme, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
Radhika NairRajiv Gandhi Centre for Biotechnology, Trivandrum, Kerala, India.
Rajiv Gandhi Centre for Biotechnology · INIndian Institute of Science Bangalore · INManipal Academy of Higher Education · INThe Kinghorn Cancer Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The triple negative breast cancer (TNBC) subtype is one of the most aggressive forms of breast cancer that has poor clinical outcome and is an unmet clinical challenge. Accumulating evidence suggests that intratumoral heterogeneity or the presence of phenotypically distinct cell populations within a tumor play a crucial role in chemoresistance, tumor progression and metastasis. An increased understanding of the molecular regulators of intratumoral heterogeneity is crucial to the development of effective therapeutic strategies in TNBC. To this end, we used an unbiased approach to identify a molecular mediator of intratumoral heterogeneity in breast cancer by isolating two tumor cell populations (T1 and T2) from the 4T1 TNBC model. Phenotypic characterization revealed that the cells are different in terms of their morphology, proliferation and self-renewal ability

Indexed as

intratumoral heterogeneityLovastatinMACC1phenotypic heterogeneityTNBC

Identifiers

PMID37841442
PMCPMC10570535
OpenAlexW4387168422

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.