Evidence map›Paper›PMID 29556842›Full record

ReviewCurrent treatment options in oncology2018

Eradicating Cancer Stem Cells: Concepts, Issues, and Challenges.

Gurpreet Kaur, Praveen Sharma, Nilambra Dogra, Sandeep Singh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current treatment options in oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

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  16. Metabolic Adaptations in Cancer Stem Cells.Frontiers in oncology · 2020
    Review
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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

4 authors.

Gurpreet KaurDepartment of Environmental Science and Technology, Central University of Punjab, Bathinda, Punjab, 151001, India.
Praveen SharmaLaboratory of Molecular Medicine, Department of Human Genetics and Molecular Medicine, Central University of Punjab, Mansa Road, Bathinda, Punjab, 151001, India.
Nilambra DograDepartment of Experimental Medicine and Biotechnology, Post Graduate Institute of Medical Education and Research, Sector 12, Chandigarh, 160012, India.
Sandeep SinghLaboratory of Molecular Medicine, Department of Human Genetics and Molecular Medicine, Central University of Punjab, Mansa Road, Bathinda, Punjab, 151001, India. sandeepsingh82@gmail.com.ORCID 0000-0001-8780-5124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementThe cells of malignant cancers result in the evolution of cells with stem-like characteristics, commonly known as cancer stem cells (CSCs). Progress of anticancer therapies is severely hampered because of disease relapse mostly in a more aggressive form due to CSCs. These CSCs are more or less like embryonic or tissue stem cells, known for their capacity of self-renewal, exactly recapitulate of the original tumor. Deregulation of key stem cell pathways like Wnt, Hedgehog (Hh), and Notch is attributed towards the rise of CSCs. Recent breakthroughs offer better insights into CSC signaling. Scientists have developed several combinatorial therapies like targeting one/multiple of these CSC pathways. The article summarized various markers used to identify CSCs and discuss major signaling pathways in them. The futuristic probabilities to use CSC therapeutics in clinical development have been discussed. Our views have been highlighted on the future directions for targeting advances in the clinical development.

Indexed as

Biomarkers, TumorHumansNeoplasm Recurrence, LocalNeoplasmsNeoplastic Stem CellsWnt Signaling PathwayBiomarkers, TumorCancer stem cellsChemoresistanceEpCAMHh and Notch signalingWnt

Identifiers

What OpenQuestion holds

Textmetadata
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.