Evidence map›Paper›PMID 42144524›Full record

ReviewCancer treatment and research2026

Metabolic Reprogramming in Cancer Stem Cells.

Gaurav Ranjan, Srijani Dasgupta, Uttam Kumar Mishra, Priyashree Sunita, Shakti Prasad Pattanayak

Abstract readReview
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In one paragraph

Review in Cancer treatment and research, 2026. 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

5 authors.

Gaurav RanjanDepartment of Pharmacy, School of Health Science, Central University of South Bihar, Gaya, Bihar, India.ORCID https://orcid.org/0000-0003-2460-2498
Srijani DasguptaDepartment of Pharmaceutical Sciences, Jharkhand Rai University, Rajaulatu, Namkum, Ranchi, India.
Uttam Kumar MishraDepartment of Chemistry, Birla Institute of Technology, Mesra, Ranchi, India.
Priyashree SunitaDepartment of Surgery, Case Comprehensive Cancer Centre, Case Western Reserve University, Wolstein Research Building, Cleveland, OH, USA.ORCID https://orcid.org/0009-0007-8066-9327
Shakti Prasad PattanayakDepartment of Biochemistry, School of Medicine, Case Western Reserve University, Euclid Ave, Cleveland, OH, USA. sxp1286@case.edu.ORCID https://orcid.org/0000-0002-1629-2648

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cells (CSCs) are a subset of tumor cells that exhibit self-renewal, differentiation potential, and resistance to conventional therapies. One of the characteristic traits of CSCs is their metabolic flexibility, with the ability to adapt energy production and biosynthesis in the context of low oxygen, limited nutrients, and therapy-driven stress. This adaptability allows them to survive, advances tumor development, and results in relapse after treatment.CSCs can switch between glycolysis and oxidative phosphorylation (OXPHOS) dynamically in different biological contexts. CSCs mainly produce ATP and synthesize nucleotides, amino acids, and lipids through glycolysis in hypoxia. OXPHOS is important for the maintenance of quiescent cells, for reducing reactive oxygen species (ROS) production, and supports long-term survival and tumor initiation. In addition to glucose, CSCs utilize lipid and amino acid metabolism. Fatty acid oxidation provides energy during stress, while glutamine, serine, and glycine support biosynthesis, redox homeostasis, and epigenetic control, collectively enhancing survival and therapy resistance. CSCs also rely on lipid and amino acid metabolism, in addition to glucose. Fatty acid oxidation is a source of energy during stress, and glutamine-, serine-, and glycine-derived metabolic products contribute to promoting biosynthesis for redox homeostasis, epigenetic regulation, and survival/therapy resistance. The tumor microenvironment (TME) dictates CSCs' metabolism through cross talk with fibroblasts, immune cells, and components of the extracellular matrix. Metabolic interplay, e.g., reverse Warburg effect, allows CSC to consume stromal metabolites, facilitating the promotion of tumor and resistance to therapy. Targeting of CSC metabolism, via glycolytic and mitochondrial inhibitors, lipid metabolism originated blockers, or amino acids modulators can perturb the survival of CSCs and increase tumor sensitivity to classical therapies. In this aspect, the application of combinatorial therapy was able to provide additional benefit by addressing both proliferative and quiescent CSC.In conclusion, metabolic reprogramming underpins CSC survival, drives therapy resistance, and promotes tumor progression. Exploiting these metabolic adaptations provides a promising strategy for achieving long-lasting and effective cancer therapies.

Indexed as

Metabolic ReprogrammingNeoplasmsNeoplastic Stem CellsAnimalsHumansTumor MicroenvironmentCancer stem cellsGlycolysisMetabolic reprogrammingMetabolic targetingReverse Warburg effectTumor microenvironment

Identifiers

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Registered trials

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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.