Evidence map›Paper›PMID 37447206›Full record

ReviewNutrients2023

Dietary Manipulation of Amino Acids for Cancer Therapy.

Julio José Jiménez-Alonso, Miguel López-Lázaro

Open access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Cancer cachexia: molecular basis and therapeutic advances.Signal transduction and targeted therapy · 2026
    Review
  4. Article
  5. Antioxidant and Antiproliferative Activities of Hemp Seed Proteins (International journal of molecular sciences · 2025
    Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. 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 at 1 institution in 1 country.

Julio José Jiménez-AlonsoDepartment of Pharmacology, Faculty of Pharmacy, University of Seville, 41012 Sevilla, Spain.ORCID 0000-0002-2476-2507
Miguel López-LázaroDepartment of Pharmacology, Faculty of Pharmacy, University of Seville, 41012 Sevilla, Spain.ORCID 0000-0003-2794-1647
Universidad de Sevilla · ES

Funding

AMINOVITA, S.L PRJ201803388
6 · The paper itself

Abstract

Cancer cells cannot proliferate and survive unless they obtain sufficient levels of the 20 proteinogenic amino acids (AAs). Unlike normal cells, cancer cells have genetic and metabolic alterations that may limit their capacity to obtain adequate levels of the 20 AAs in challenging metabolic environments. However, since normal diets provide all AAs at relatively constant levels and ratios, these potentially lethal genetic and metabolic defects are eventually harmless to cancer cells. If we temporarily replace the normal diet of cancer patients with artificial diets in which the levels of specific AAs are manipulated, cancer cells may be unable to proliferate and survive. This article reviews in vivo studies that have evaluated the antitumor activity of diets restricted in or supplemented with the 20 proteinogenic AAs, individually and in combination. It also reviews our recent studies that show that manipulating the levels of several AAs simultaneously can lead to marked survival improvements in mice with metastatic cancers.

Indexed as

Amino AcidsNeoplasmsAnimalsDietMiceAmino Acidsanticancer activityarginineartificial dietsasparaginecancer metabolismcysteineessential amino acidsglutaminein vivoleucinemethioninemicenon-essential amino acidsrestrictionserine

Identifiers

PMID37447206
PMCPMC10346484
OpenAlexW4382138395

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.