Evidence map›Paper›PMID 35486022›Full record

ReviewThe FEBS journal2023

Regulation of intrinsic and extrinsic metabolic pathways in tumour-associated macrophages.

Goutham Venkata Naga Davuluri, Chia-Hsin Chan

Open access · greenAbstract readReview
In one paragraph

Review in The FEBS journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Goutham Venkata Naga DavuluriDepartment of Molecular and Cellular Biology, Roswell Park Cancer Comprehensive Cancer Center, Buffalo, NY, USA.
Chia-Hsin ChanDepartment of Molecular and Cellular Biology, Roswell Park Cancer Comprehensive Cancer Center, Buffalo, NY, USA.ORCID 0000-0001-8506-7500
Roswell Park Comprehensive Cancer Center · US

Funding

Regulation of non-proteolytic ubiquitination in cancer chemoresistance and progressionR01CA211912 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI KNUDSEN, ERIK · 2017 to 2021
$1.8M
NCI NIH HHS R01 CA211912
6 · The paper itself

Abstract

Tumour-associated macrophages (TAMs) are highly plastic and are broadly grouped into two major functional states, namely the pro-inflammatory M1-type and the pro-tumoural M2-type. Conversion of the functional states of TAMs is regulated by various cytokines, chemokines growth factors and other secreted factors in the microenvironment. Dysregulated metabolism is a hallmark of cancer. Emerging evidence suggests that metabolism governs the TAM differentiation and functional conversation in support of tumour growth and metastasis. Aside from the altered metabolism reprogramming in TAMs, extracellular metabolites secreted by cancer, stromal and/or other cells within the tumour microenvironment have been found to regulate TAMs through passive competition for metabolite availability and direct regulation via receptor/transporter-mediated signalling reaction. In this review, we focus on the regulatory roles of different metabolites and metabolic pathways in TAM conversion and function. We also discuss if the dysregulated metabolism in TAMs can be exploited for the development of new therapeutic strategies against cancer.

Indexed as

NeoplasmsTumor-Associated MacrophagesCytokinesHumansMacrophagesMetabolic Networks and PathwaysTumor MicroenvironmentCytokinesimmunotherapymacrophage polarization and conversionmetabolic pathwaystumour-associated macrophages

Identifiers

PMID35486022
PMCPMC10711806
OpenAlexW4225136215

What OpenQuestion holds

Textmetadata
LicenceTDM
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.