Evidence map›Paper›PMID 37403628›Full record

ArticleCancer research2023

Understanding and Overcoming Immunosuppression Shaped by Cancer Stem Cells.

Linheng Li, Roy A Jensen

Abstract read
In one paragraph

Article in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. EMT and cancer stem cells: Drivers of therapy resistance and promising therapeutic targets.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Tumor-associated macrophages drive heterogenetic CD10International journal of biological sciences · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. [Research Advances of RAD51AP1 in Tumor Progression and Drug Resistance].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023
    Review
  15. Cancer Stem Cells in Renal Cell Carcinoma: Origins and Biomarkers.International journal of molecular sciences · 2023
    Review
  16. 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

2 authors.

Linheng LiStowers Institute for Medical Research, Kansas City, Missouri.ORCID 0000-0001-9963-430X
Roy A JensenThe Department of Pathology, University of Kansas Medical Center, Kansas City, Kansas.ORCID 0000-0003-4430-2281

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ROY A. JENSEN · 2012 to 2026
$40.1M
Isolation and Characterization of Intestinal Stem CellsU01DK085507 · NIDDK · STOWERS INSTITUTE FOR MEDICAL RESEARCH · PI LI, LINHENG · 2009 to 2023
$6.2M
NCI NIH HHS P30 CA168524NIDDK NIH HHS U01 DK085507
6 · The paper itself

Abstract

Use of immunotherapy in recent years has revolutionized cancer treatment for certain types of cancers. However, the broad utility of immunotherapy is limited because there are still many types of cancer that do not respond effectively. Failure of a cancer to respond is due, at least in part, to its phenotypic plasticity, a feature that is established by cancer stem cells (CSC) and their associated microenvironments. This article discusses the current understanding of CSC-mediated immune evasion and provides a prospective view on how researchers can better understand and overcome the intrinsic immune privilege of CSCs and the extrinsic immune-suppressive microenvironment shaped by them.

Indexed as

NeoplasmsHumansImmunosuppression TherapyImmunotherapyNeoplastic Stem CellsProspective StudiesTumor Microenvironment

Identifiers

PMID37403628
PMCPMC10320482

What OpenQuestion holds

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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.