Evidence map›Paper›PMID 31013960›Full record

ReviewCancers2019

The Evolving Landscape of Cancer Stem Cells and Ways to Overcome Cancer Heterogeneity.

Hiroaki Taniguchi, Yasunori Suzuki, Yukikazu Natori

Abstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Brain Tumor Stem Cells: New Perspectives.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Cancer Stem Cells: Emerging Key Players in Immune Evasion of Cancers.Frontiers in cell and developmental biology · 2021
    Review
  7. Article
  8. Targeting Dormant Ovarian Cancer CellsMolecular cancer therapeutics · 2021
    Article
  9. Review
  10. Review
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.

Hiroaki TaniguchiThe Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokanedai, Minato-ku, Tokyo 108-0071, Japan. h-tani@ims.u-tokyo.ac.jp.ORCID 0000-0003-0494-5290
Yasunori SuzukiClinical and Translational Research Center Keio University Hospital, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan. suzukiys@ims.u-tokyo.ac.jp.ORCID 0000-0001-9361-4172
Yukikazu NatoriBioThinkTank Co. Ltd. 4-10-1-E1706 Minatomirai, Nishi-ku Yokohama, Kanagawa 220-0012, Japan. natori0918@gmail.com.

Funding

Japan Agency for Medical Research and Development 16ck0106108h0003Ministry of Education, Culture, Sports, Science and Technology JP16H04710
6 · The paper itself

Abstract

Cancer stem cells (CSCs) with therapeutic resistance and plasticity can be found in various types of tumors and are recognized as attractive targets for treatments. As CSCs are derived from tissue stem or progenitor cells, and/or dedifferentiated mature cells, their signal transduction pathways are critical in the regulation of CSCs; chronic inflammation causes the accumulation of genetic mutations and aberrant epigenetic changes in these cells, potentially leading to the production of CSCs. However, the nature of CSCs appears to be stronger than the treatments of the past. To improve the treatments targeting CSCs, it is important to inhibit several molecules on the signaling cascades in CSCs simultaneously, and to overcome cancer heterogeneity caused by the plasticity. To select suitable target molecules for CSCs, we have to explore the landscape of CSCs from the perspective of cancer stemness and signaling systems, based on the curated databases of cancer-related genes. We have been studying the integration of a broad range of knowledge and experiences from cancer biology, and also from other interdisciplinary basic sciences. In this review, we have introduced the concept of developing novel strategies targeting CSCs.

Indexed as

cancer heterogeneitycancer stemnessin silico approacholigonucleotide therapeuticssignaling cascades

Identifiers

PMID31013960
PMCPMC6520864

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.