Evidence map›Paper›PMID 38073087›Full record

ArticleCancer biology & therapy2024

The amino acid transporter SLC7A11 expression in breast cancer.

Preyanka Nath, Lutfi H Alfarsi, Rokaya El-Ansari, Brendah K Masisi, Busra Erkan, Ali Fakroun, Ian O Ellis, Emad A Rakha, Andrew R Green

Open access · goldAbstract read
In one paragraph

Article in Cancer biology & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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  6. ALDH1L1 reverses CD8Journal of translational medicine · 2026
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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 at 2 institutions in 1 country.

Preyanka NathNottingham Breast Cancer Research Centre, Academic Unit of Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, Nottingham, UK.
Lutfi H AlfarsiNottingham Breast Cancer Research Centre, Academic Unit of Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, Nottingham, UK.
Rokaya El-AnsariNottingham Breast Cancer Research Centre, Academic Unit of Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, Nottingham, UK.
Brendah K MasisiNottingham Breast Cancer Research Centre, Academic Unit of Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, Nottingham, UK.
Busra ErkanNottingham Breast Cancer Research Centre, Academic Unit of Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, Nottingham, UK.
Ali FakrounNottingham Breast Cancer Research Centre, Academic Unit of Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, Nottingham, UK.
Ian O EllisNottingham Breast Cancer Research Centre, Academic Unit of Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, Nottingham, UK.
Emad A RakhaNottingham Breast Cancer Research Centre, Academic Unit of Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, Nottingham, UK.
Andrew R GreenNottingham Breast Cancer Research Centre, Academic Unit of Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, Nottingham, UK.ORCID 0000-0002-0488-5913
University of Nottingham · GBNottingham University Hospitals NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC), characterized by its diverse molecular profiles and clinical outcomes, presents a significant challenge in the development of effective therapeutic strategies. Metabolic reprogramming, a defining characteristic of cancer, has emerged as a promising target for novel therapies. SLC7A11, an amino acid transporter that facilitates cysteine uptake in exchange for glutamate, plays a crucial role in sustaining the altered metabolism of cancer cells. This study delves into the comprehensive analysis of SLC7A11 at the genomic, transcriptomic, and protein levels in extensive BC datasets to elucidate its potential role in different BC subtypes.

Indexed as

Breast NeoplasmsTriple Negative Breast NeoplasmsAmino Acid Transport System y+Biomarkers, TumorFemaleGenomicsHumansPrognosisRNA, MessengerAmino Acid Transport System y+Biomarkers, TumorRNA, MessengerSLC7A11 protein, humanamino acid transportersBreast cancerIHCmetabolismprognostic factorSLC7A11 expressionsubtypes

Identifiers

PMID38073087
PMCPMC10761065
OpenAlexW4389569810

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.