Evidence map›Paper›PMID 39624081›Full record

ReviewCancer drug resistance (Alhambra, Calif.)2024

Reprogrammed lipid metabolism in advanced resistant cancers: an upcoming therapeutic opportunity.

Mario Cioce, Mariamena Arbitrio, Nicoletta Polerà, Emanuela Altomare, Antonia Rizzuto, Carmela De Marco, Vito Michele Fazio, Giuseppe Viglietto, Maria Lucibello

Abstract readReview
In one paragraph

Review in Cancer drug resistance (Alhambra, Calif.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Article
  5. Unleashing the biological power and chemical profile ofBiochemistry and biophysics reports · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Review
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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

9 authors.

Mario CioceDepartment of Medicine, Laboratory of Molecular Medicine and Biotechnology, University Campus Bio-Medico of Rome, Rome 00128, Italy.
Mariamena ArbitrioDepartment of Biomedical Sciences, Institute for Biomedical Research and Innovation, National Research Council of Italy (CNR), Catanzaro 88100, Italy.
Nicoletta PoleràDepartment of Biomedical Sciences, Institute for Biomedical Research and Innovation, National Research Council of Italy (CNR), Catanzaro 88100, Italy.
Emanuela AltomareDepartment of Health Sciences, "Magna Graecia" University of Catanzaro, Catanzaro 88100, Italy.
Antonia RizzutoDepartment of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Catanzaro 88100, Italy.
Carmela De MarcoDepartment of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro 88100, Italy.
Vito Michele FazioDepartment of Medicine, Laboratory of Molecular Medicine and Biotechnology, University Campus Bio-Medico of Rome, Rome 00128, Italy.
Giuseppe VigliettoDepartment of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro 88100, Italy.
Maria LucibelloDepartment of Biomedical Sciences, Institute for Biomedical Research and Innovation, National Research Council of Italy (CNR), Catanzaro 88100, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance of cancer to therapy is the main challenge to its therapeutic management and is still an unsolved problem. Rearranged lipid metabolism is a strategy adopted by cancer cells to counteract adversity during their evolution toward aggressiveness and immune evasion. This relies on several mechanisms, ranging from altered metabolic pathways within cancer cells to evolved dynamic crosstalk between cancer cells and the tumor microenvironment (TME), with some cell populations at the forefront of metabolic reprogramming, thereby contributing to the resistance of the whole ecosystem during therapy. Unraveling these mechanisms may contribute to the development of more effective combinatorial therapy in resistant patients. This review highlights the alterations in lipid metabolism that contribute to cancer progression, with a focus on the potential clinical relevance of such findings for the management of therapy resistance.

Indexed as

immune evasionMetabolic signalingmetastasistherapy resistancetumor microenvironment

Identifiers

PMID39624081
PMCPMC11609178

What OpenQuestion holds

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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.