Evidence map›Paper›PMID 32849491›Full record

ReviewFrontiers in immunology2020

Cancer Stem Cells-Origins and Biomarkers: Perspectives for Targeted Personalized Therapies.

Lia Walcher, Ann-Kathrin Kistenmacher, Huizhen Suo, Reni Kitte, Sarah Dluczek, Alexander Strauß, André-René Blaudszun, Tetyana Yevsa, Stephan Fricke, Uta Kossatz-Boehlert

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 548 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
548citing papers in PubMed, 2 pooled it
40.1field-weighted citation impact, top 1% 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

548 citing papers in PubMed, 2 syntheses or guidelines pooled it, 993 citations in OpenAlex.

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  13. METTL3/YTHDF1-Driven SURF6 Promotes Prostate Cancer Stemness via CDK4.Journal of cellular and molecular medicine · 2026
    Article
  14. Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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488 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 1 country.

Lia WalcherDepartment of Immunology, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Ann-Kathrin KistenmacherDepartment of Immunology, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Huizhen SuoDepartment of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany.
Reni KitteDepartment of Immunology, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Sarah DluczekDepartment of Immunology, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Alexander StraußDepartment of Immunology, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
André-René BlaudszunDepartment of Immunology, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Tetyana YevsaDepartment of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany.
Stephan FrickeDepartment of Immunology, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Uta Kossatz-BoehlertDepartment of Immunology, Fraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Fraunhofer Institute for Cell Therapy and Immunology · DEMedizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of biomarkers in diagnosis, therapy and prognosis has gained increasing interest over the last decades. In particular, the analysis of biomarkers in cancer patients within the pre- and post-therapeutic period is required to identify several types of cells, which carry a risk for a disease progression and subsequent post-therapeutic relapse. Cancer stem cells (CSCs) are a subpopulation of tumor cells that can drive tumor initiation and can cause relapses. At the time point of tumor initiation, CSCs originate from either differentiated cells or adult tissue resident stem cells. Due to their importance, several biomarkers that characterize CSCs have been identified and correlated to diagnosis, therapy and prognosis. However, CSCs have been shown to display a high plasticity, which changes their phenotypic and functional appearance. Such changes are induced by chemo- and radiotherapeutics as well as senescent tumor cells, which cause alterations in the tumor microenvironment. Induction of senescence causes tumor shrinkage by modulating an anti-tumorigenic environment in which tumor cells undergo growth arrest and immune cells are attracted. Besides these positive effects after therapy, senescence can also have negative effects displayed post-therapeutically. These unfavorable effects can directly promote cancer stemness by increasing CSC plasticity phenotypes, by activating stemness pathways in non-CSCs, as well as by promoting senescence escape and subsequent activation of stemness pathways. At the end, all these effects can lead to tumor relapse and metastasis. This review provides an overview of the most frequently used CSC markers and their implementation as biomarkers by focussing on deadliest solid (lung, stomach, liver, breast and colorectal cancers) and hematological (acute myeloid leukemia, chronic myeloid leukemia) cancers. Furthermore, it gives examples on how the CSC markers might be influenced by therapeutics, such as chemo- and radiotherapy, and the tumor microenvironment. It points out, that it is crucial to identify and monitor residual CSCs, senescent tumor cells, and the pro-tumorigenic senescence-associated secretory phenotype in a therapy follow-up using specific biomarkers. As a future perspective, a targeted immune-mediated strategy using chimeric antigen receptor based approaches for the removal of remaining chemotherapy-resistant cells as well as CSCs in a personalized therapeutic approach are discussed.

Indexed as

BiomarkersAnimalsBiomarkers, TumorCellular SenescenceCombined Modality TherapyDisease ManagementDisease ProgressionDisease SusceptibilityDrug Resistance, NeoplasmHumansImmunotherapy, AdoptiveMolecular Diagnostic TechniquesMolecular Targeted TherapyNeoplasmsNeoplastic Stem CellsOrgan SpecificityBiomarkersBiomarkers, Tumorbiomarkerscancer stem cellsCAR cellsprecision therapysenescencetargeted therapy

Identifiers

PMID32849491
PMCPMC7426526
OpenAlexW3047693299

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.