Evidence map›Paper›PMID 34771610›Full record

ReviewCancers2021

The Neglected Liaison: Targeting Cancer Cell Metabolic Reprogramming Modifies the Composition of Non-Malignant Populations of the Tumor Microenvironment.

Maria Iorio, Nikkitha Umesh Ganesh, Monica De Luise, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. American journal of translational research · 2025
    Article
  2. 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

6 authors at 1 institution in 1 country.

Maria IorioDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy.
Nikkitha Umesh GaneshDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy.ORCID 0000-0002-9004-5960
Monica De LuiseDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy.ORCID 0000-0002-3486-3985
Anna Maria PorcelliCenter for Applied Biomedical Research, University of Bologna, 40138 Bologna, Italy.
Giuseppe GasparreDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy.ORCID 0000-0003-1229-9006
Ivana KurelacDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy.
University of Bologna · IT

Funding

European Union's Horizon 2020 Marie Skłodowska-Curie grant 722605Italian Association for Cancer Research IG22921Italian Association for Cancer Research IG24494
6 · The paper itself

Abstract

Metabolic reprogramming is a well-known hallmark of cancer, whereby the development of drugs that target cancer cell metabolism is gaining momentum. However, when establishing preclinical studies and clinical trials, it is often neglected that a tumor mass is a complex system in which cancer cells coexist and interact with several types of microenvironment populations, including endothelial cells, fibroblasts and immune cells. We are just starting to understand how such populations are affected by the metabolic changes occurring in a transformed cell and little is known about the impact of metabolism-targeting drugs on the non-malignant tumor components. Here we provide a general overview of the links between cancer cell metabolism and tumor microenvironment (TME), particularly focusing on the emerging literature reporting TME-specific effects of metabolic therapies.

Indexed as

cancer-associated fibroblastscancer metabolismmetabolic reprogrammingtumor-associated macrophagestumor microenvironment

Identifiers

PMID34771610
PMCPMC8582418
OpenAlexW3210991757

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.