Evidence map›Paper›PMID 31176254›Full record

ReviewDifferentiation; research in biological diversity

Roles of mitochondria in liver cancer stem cells.

Ching-Wen Chang, Jeng-Fan Lo, Xin Wei Wang

Open access · greenAbstract readReview
In one paragraph

Review in Differentiation; research in biological diversity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  9. Cancer biology & therapy · 2023
    Article
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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

3 authors at 3 institutions in 2 countries.

Ching-Wen ChangLaboratory of Human Carcinogenesis, National Cancer Institute, Bethesda, MD, USA.
Jeng-Fan LoInstitute of Oral Biology, National Yang-Ming University, Taipei, Taiwan; Cancer Progression Center of Excellence, National Yang-Ming University, Taipei, Taiwan.
Xin Wei WangLaboratory of Human Carcinogenesis, National Cancer Institute, Bethesda, MD, USA; Liver Cancer Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA. Electronic address: xw3u@nih.gov.
Center for Cancer Research · USNational Cancer Institute · USNational Yang Ming Chiao Tung University · TW

Funding

The role of cancer stem cells in liver cancer heterogeneity and subtypesZ01BC010876 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, XIN · 2008 to 2008
$490k
Intramural NIH HHS Z01 BC010876
6 · The paper itself

Abstract

Primary liver cancer (PLC) is heterogeneous and it is an aggressive malignancy with a poor prognostic outcome. Current evidence suggests that PLC tumorigenesis is driven by rare subpopulations of cancer stem cells (CSCs), which contribute to tumor initiation, progression, and therapy resistance through particular molecular mechanisms. Energy metabolism and mitochondrial function play an important role in the regulation of cancer stemness and stem cell specifications. Since the role of mitochondrial function as central hubs in cell growth and survival, studies on the critical physiological mechanisms of the liver underlying their therapy-resistant phenotype is important. In this review, we focus on liver CSC-related mitochondrial metabolism that contributes to the liver CSC features, in terms of enhanced drug-resistance and increased tumorigenicity, and to discuss their roles on potential therapies windows for PLC therapies.

Indexed as

MitochondriaCarcinoma, HepatocellularCholangiocarcinomaHumansLiver NeoplasmsNeoplastic Stem Cells

Identifiers

PMID31176254
PMCPMC6612304
OpenAlexW2947639189

What OpenQuestion holds

Textmetadata
LicenceTDM
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.