Evidence map›Paper›PMID 38757578›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

A PET-Surrogate Signature for the Interrogation of the Metabolic Status of Breast Cancers.

Stefano Confalonieri, Bronislava Matoskova, Rosa Pennisi, Flavia Martino, Agnese De Mario, Giorgia Miloro, Francesca Montani, Luca Rotta, Mahila Esmeralda Ferrari, Laura Gilardi and 6 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. A PET-Surrogate Signature for the Interrogation of the Metabolic Status of Breast Cancers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

16 authors.

Stefano ConfalonieriIEO, European Institute of Oncology IRCCS, Via Ripamonti 435, Milan, 20141, Italy.
Bronislava MatoskovaIEO, European Institute of Oncology IRCCS, Via Ripamonti 435, Milan, 20141, Italy.
Rosa PennisiDepartment of Oncology, University of Torino Medical School, Candiolo, Turin, 10060, Italy.
Flavia MartinoDepartment of Oncology, University of Torino Medical School, Candiolo, Turin, 10060, Italy.
Agnese De MarioDepartment of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, Padua, 35131, Italy.
Giorgia MiloroIEO, European Institute of Oncology IRCCS, Via Ripamonti 435, Milan, 20141, Italy.
Francesca MontaniIEO, European Institute of Oncology IRCCS, Via Ripamonti 435, Milan, 20141, Italy.
Luca RottaIEO, European Institute of Oncology IRCCS, Via Ripamonti 435, Milan, 20141, Italy.
Mahila Esmeralda FerrariIEO, European Institute of Oncology IRCCS, Via Ripamonti 435, Milan, 20141, Italy.
Laura GilardiIEO, European Institute of Oncology IRCCS, Via Ripamonti 435, Milan, 20141, Italy.
Francesco CeciIEO, European Institute of Oncology IRCCS, Via Ripamonti 435, Milan, 20141, Italy.
Chiara Maria GranaIEO, European Institute of Oncology IRCCS, Via Ripamonti 435, Milan, 20141, Italy.
Rosario RizzutoDepartment of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, Padua, 35131, Italy.
Cristina MammucariDepartment of Biomedical Sciences, University of Padua, Via U. Bassi 58/B, Padua, 35131, Italy.
Pier Paolo Di FioreIEO, European Institute of Oncology IRCCS, Via Ripamonti 435, Milan, 20141, Italy.
Letizia LanzettiDepartment of Oncology, University of Torino Medical School, Candiolo, Turin, 10060, Italy.ORCID 0000-0001-7541-5524

Funding

Associazione Italiana per la Ricerca sul Cancro #22811Associazione Italiana per la Ricerca sul Cancro #23060Associazione Italiana per la Ricerca sul Cancro 5X1000 22759Italian Ministry of HealthItalian Ministry of University and Scientific Research 2020R2BP2ENational Center for Gene Therapy and DrugsNext Generation EU CN00000041
6 · The paper itself

Abstract

Metabolic alterations in cancers can be exploited for diagnostic, prognostic, and therapeutic purposes. This is exemplified by 18F-fluorodeoxyglucose (FDG)-positron emission tomography (FDG-PET), an imaging tool that relies on enhanced glucose uptake by tumors for diagnosis and staging. By performing transcriptomic analysis of breast cancer (BC) samples from patients stratified by FDG-PET, a 54-gene signature (PETsign) is identified that recapitulates FDG uptake. PETsign is independently prognostic of clinical outcome in luminal BCs, the most common and heterogeneous BC molecular subtype, which requires improved stratification criteria to guide therapeutic decision-making. The prognostic power of PETsign is stable across independent BC cohorts and disease stages including the earliest BC stage, arguing that PETsign is an ab initio metabolic signature. Transcriptomic and metabolomic analysis of BC cells reveals that PETsign predicts enhanced glycolytic dependence and reduced reliance on fatty acid oxidation. Moreover, coamplification of PETsign genes occurs frequently in BC arguing for their causal role in pathogenesis. CXCL8 and EGFR signaling pathways feature strongly in PETsign, and their activation in BC cells causes a shift toward a glycolytic phenotype. Thus, PETsign serves as a molecular surrogate for FDG-PET that could inform clinical management strategies for BC patients.

Indexed as

Breast NeoplasmsFluorodeoxyglucose F18Positron-Emission TomographyFemaleGene Expression ProfilingHumansPrognosisTranscriptomeFluorodeoxyglucose F18breast cancerFDG‐PETgene signatureglycolysismetabolism

Identifiers

PMID38757578
PMCPMC11267279

What OpenQuestion holds

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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.