Evidence map›Paper›PMID 28447025›Full record

ReviewFrontiers in oncology2017

Metabolic Cooperation and Competition in the Tumor Microenvironment: Implications for Therapy.

Seema Gupta, Amrita Roy, Bilikere S Dwarakanath

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers.

0numbers the graph read from it
0cells of the map it votes in
128citing 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

128 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Melanoma resists chemotherapy through an adaptive mitochondrial response.Journal of experimental & clinical cancer research : CR · 2026
    Article
  5. Review
  6. Review
  7. CAR-T cell immunotherapy in rhabdomyosarcoma.Journal of translational medicine · 2026
    Review
  8. Mitochondrial transfer in the HSC-HCC-macrophage network shapes hepatocellular carcinoma progression.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Endothelial metabolic zonation in the vascular network: a spatiotemporal blueprint for angiogenesis.American journal of physiology. Heart and circulatory physiology · 2025
    Review
  17. Review
  18. Review
  19. Review
  20. Article

68 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

3 authors.

Seema GuptaGeorgia Cancer Center, Augusta University, Augusta, GA, USA.
Amrita RoySchool of Life Sciences, B. S. Abdur Rahman Crescent University, Chennai, India.
Bilikere S DwarakanathCentral Research Facility, Sri Ramachandra University, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) is an ensemble of non-tumor cells comprising fibroblasts, cells of the immune system, and endothelial cells, besides various soluble secretory factors from all cellular components (including tumor cells). The TME forms a pro-tumorigenic cocoon around the tumor cells where reprogramming of the metabolism occurs in tumor and non-tumor cells that underlies the nature of interactions as well as competitions ensuring steady supply of nutrients and anapleoretic molecules for the tumor cells that fuels its growth even under hypoxic conditions. This metabolic reprogramming also plays a significant role in suppressing the immune attack on the tumor cells and in resistance to therapies. Thus, the metabolic cooperation and competition among the different TME components besides the inherent alterations in the tumor cells arising out of genetic as well as epigenetic changes supports growth, metastasis, and therapeutic resistance. This review focuses on the metabolic remodeling achieved through an active cooperation and competition among the three principal components of the TME-the tumor cells, the T cells, and the cancer-associated fibroblasts while discussing about the current strategies that target metabolism of TME components. Further, we will also consider the probable therapeutic opportunities targeting the various metabolic pathways as well as the signaling molecules/transcription factors regulating them for the development of novel treatment strategies for cancer.

Indexed as

cancer-associated fibroblastscancer cell metabolismimmune networkmetabolic cooperationmetabolic reprogrammingtumor microenvironmentWarburg effect

Identifiers

PMID28447025
PMCPMC5388702

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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.