Evidence map›Paper›PMID 37739209›Full record

ReviewCancer letters2023

Targeting cancer metabolic pathways for improving chemotherapy and immunotherapy.

Zhangyi Luo, Katherine M Eichinger, Anju Zhang, Song Li

Abstract readReview
In one paragraph

Review in Cancer letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Leveraging Macrophage Metabolic Reprogramming for Enhanced Anti-Tumor Immunity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  5. Article
  6. Article
  7. Review
  8. Metabolic Cross Talk in the Tumor Microenvironment.Cancer treatment and research · 2026
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
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

4 authors.

Zhangyi LuoCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA; UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Katherine M EichingerDuo Oncology, Inc., Pittsburgh, PA, USA.
Anju ZhangCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA.
Song LiCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA; UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: sol4@pitt.edu.

Funding

Nanoparticles-mediated combination therapy for breast cancerR01CA278608 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Song Li · 2023 to 2026
$2.0M
Combination Therapy for Pancreatic CancerR01CA270623 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Song Li · 2023 to 2026
$1.9M
Study of Interleukin 33 as a new immunotherapy of lung cancerR01CA239716 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LI, SONG, LU, BINFENG · 2019 to 2023
$1.8M
Nanotherapeutics for Synergistic Targeting of Myc in Prostate CancerR01CA223788 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LI, SONG · 2018 to 2022
$1.8M
NCI NIH HHS R01 CA223788NCI NIH HHS R01 CA239716NCI NIH HHS R01 CA270623NCI NIH HHS R01 CA278608
6 · The paper itself

Abstract

Recent discoveries in cancer metabolism have revealed promising metabolic targets to modulate cancer progression, drug response, and anti-cancer immunity. Combination therapy, consisting of metabolic inhibitors and chemotherapeutic or immunotherapeutic agents, offers new opportunities for improved cancer therapy. However, it also presents challenges due to the complexity of cancer metabolic pathways and the metabolic interactions between tumor cells and immune cells. Many studies have been published demonstrating potential synergy between novel inhibitors of metabolism and chemo/immunotherapy, yet our understanding of the underlying mechanisms remains limited. Here, we review the current strategies of altering the metabolic pathways of cancer to improve the anti-cancer effects of chemo/immunotherapy. We also note the need to differentiate the effect of metabolic inhibition on cancer cells and immune cells and highlight nanotechnology as an emerging solution. Improving our understanding of the complexity of the metabolic pathways in different cell populations and the anti-cancer effects of chemo/immunotherapy will aid in the discovery of novel strategies that effectively restrict cancer growth and augment the anti-cancer effects of chemo/immunotherapy.

Indexed as

ImmunotherapyMetabolic Networks and PathwaysNeoplasmsAnimalsAntineoplastic AgentsHumansTumor MicroenvironmentAntineoplastic AgentsCancer metabolismCancer nanotechnologyChemotherapyImmunotherapyTumor microenvironment

Identifiers

PMID37739209
PMCPMC10591810

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.