Evidence map›Paper›PMID 38067237›Full record

ArticleCancers2023

Stem Cell Theory of Cancer: Clinical Implications of Epigenomic versus Genomic Biomarkers in Cancer Care.

Shi-Ming Tu, Jim Zhongning Chen, Sunny R Singh, Ahmet Murat Aydin, Neriman Gokden, Neville Ngai Chung Tam, Yuet-Kin Leung, Timothy Langford, Shuk-Mei Ho

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Shi-Ming TuDivision of Hematology and Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Jim Zhongning ChenDivision of Hematology and Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Sunny R SinghDivision of Hematology and Oncology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Ahmet Murat AydinDepartment of Urology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Neriman GokdenDepartment of Pathology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Neville Ngai Chung TamDepartment of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Yuet-Kin LeungDepartment of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.ORCID 0000-0003-2063-277X
Timothy LangfordDepartment of Urology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.
Shuk-Mei HoDepartment of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers play a crucial role in the diagnosis, prognosis, and therapeutics of cancer. We use biomarkers to identify, image, monitor, and target cancer. In many respects, the discovery of pertinent biomarkers that distinguish fulminant from indolent neoplasms and sensitive from refractory malignancies would be a holy grail of cancer research and therapy. We propose that a stem cell versus genetic theory of cancer may not only enable us to track and trace the biological evolution of cancer but also empower us to attenuate its clinical course and optimize the clinical outcome of patients with cancer. Hence, a biomarker that identifies cancer stem cells (CSCs) and distinguishes them from non-CSCs may serve to elucidate inter-tumoral and intra-tumoral heterogeneity, elevate the values and utility of current prognostic and predictive tests, and enhance drug versus therapy development in cancer care. From this perspective, we focus on CSC biomarkers and discuss stemness or stem-like biomarkers in the context of a unified theory and a consideration of stem cell versus genetic origin. We review their role in primary and mixed tumors, in the elaboration of tumor subtypes, and in the imaging and monitoring of minimal residual diseases. We investigate how scientific theories influence the direction of scientific research and interpretation of experimental results, and how genomics and epigenomics affect the dynamics and trajectories of biomarkers in the conduct of cancer research and in the practice of cancer care.

Indexed as

biomarkerscancer stem cellscirculating tumor cellsctDNAepigenomicepithelial–mesenchymal transitionheterogeneity

Identifiers

PMID38067237
PMCPMC10705798

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.