Evidence map›Paper›PMID 39373900›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

Pre-treatment [18F]FDG PET/CT biomarkers for the prediction of antibody-drug conjugates efficacy in metastatic breast cancer.

Romain-David Seban, Laurence Champion, Alexandre De Moura, Florence Lerebours, Delphine Loirat, Jean-Yves Pierga, Lounes Djerroudi, Thomas Genevee, Virginie Huchet, Nina Jehanno and 2 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Prognostic value of [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Article
  4. Prognostic value of TMTV and Dmax calculated fromEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  5. 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

12 authors.

Romain-David SebanDepartment of Nuclear Medicine and Endocrine Oncology, Institut Curie, 92210, Saint-Cloud, France. romain.seban@gmail.com.ORCID 0000-0002-2584-5478
Laurence ChampionDepartment of Nuclear Medicine and Endocrine Oncology, Institut Curie, 92210, Saint-Cloud, France.
Alexandre De MouraDepartment of Medical Oncology, Institut Curie, 92210, Saint-Cloud, France.
Florence LereboursDepartment of Medical Oncology, Institut Curie, 92210, Saint-Cloud, France.
Delphine LoiratDepartment of Medical Oncology, Institut Curie, 75005, Paris, France.
Jean-Yves PiergaDepartment of Medical Oncology, Institut Curie, Université Paris Cité, 75005, Paris, France.
Lounes DjerroudiDepartment of Pathology, Institut Curie, 75005, Paris, France.
Thomas GeneveeDepartment of Pharmacy, Institut Curie, 92210, Saint-Cloud, France.
Virginie HuchetDepartment of Nuclear Medicine, Institut Curie, 75005, Paris, France.
Nina JehannoDepartment of Nuclear Medicine, Institut Curie, 75005, Paris, France.
Francois-Clement BidardDepartment of Medical Oncology, Institut Curie, UVSQ/Paris-Saclay University, 92210, Saint-Cloud, France.
Irene BuvatLaboratoire d'Imagerie Translationnelle en Oncologie, Inserm U1288, PSL University, Institut Curie, Paris Saclay University, 91400, Orsay, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to evaluate the association between pretreatment [18F]FDG PET/CT-derived biomarkers and outcomes in metastatic breast cancer (mBC) patients treated with antibody-drug conjugates (ADCs) Sacituzumab Govitecan (SG) and Trastuzumab Deruxtecan (T-DXd).

methodsA retrospective bicentric analysis was conducted on triple-negative mBC (mTNBC) patients treated with SG and HER2-low mBC patients treated with T-DXd, who underwent [18F]FDG PET/CT scans before therapy. Key biomarkers, including maximum standardized uptake value (SUVmax), total metabolic tumor volume (TMTV) and maximum tumor dissemination (Dmax), were measured. Their prognostic value for progression-free survival (PFS) and overall survival (OS) was assessed using Cox models and Kaplan-Meier curves.

results128 patients were included: 71 mTNBC treated with SG and 57 HR-positive and -negative HER2-low mBC treated with T-DXd. Median follow-up was 12.9 months. In the SG cohort, median PFS and OS were 4.8 and 8.9 months, respectively. High Dmax (HR 2.1, 95% CI 1.1-4.3) and high TMTV (HR 2.9, 95% CI 1.2-6.6) were independently associated with shorter OS. In the T-DXd cohort, median PFS and OS were 5.8 and 9.0 months, respectively. High Dmax (HR 2.1, 95% CI 1.2-3.9) and high TMTV (HR 2.4, 95% CI 1.0-6.5) independently correlated with shorter PFS and shorter OS, respectively.

conclusionPretreatment [18F]FDG PET/CT-derived biomarkers, namely TMTV and Dmax, have significant prognostic value in patients with mTNBC and HER2-low mBC treated with SG and T-DXd. These biomarkers improve prognostic prediction and may optimize treatment strategies, warranting their clinical use, but larger studies are needed to validate these findings.

Indexed as

Biomarkers, TumorBreast NeoplasmsFluorodeoxyglucose F18ImmunoconjugatesPositron Emission Tomography Computed TomographyAdultAgedAged, 80 and overAntibodies, Monoclonal, HumanizedCamptothecinFemaleHumansMiddle AgedNeoplasm MetastasisPrognosisRetrospective StudiesAntibodies, Monoclonal, HumanizedBiomarkers, TumorCamptothecinFluorodeoxyglucose F18Immunoconjugatessacituzumab govitecanTrastuzumabtrastuzumab deruxtecan[18F]FDG PET/CTAntibody–drug conjugatesMetabolic tumor burdenMetastatic breast cancerSurvival outcomesTumor dissemination

Identifiers

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.