Evidence map›Paper›PMID 35267645›Full record

ArticleCancers2022

Prediction of Early Response to Immunotherapy: DCE-US as a New Biomarker.

Raphael Naccache, Younes Belkouchi, Littisha Lawrance, Baya Benatsou, Joya Hadchiti, Paul-Henry Cournede, Samy Ammari, Hugues Talbot, Nathalie Lassau

Abstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Raphael NaccacheDepartment of Imaging, Institut Gustave Roussy, 94800 Villejuif, France.ORCID 0000-0003-0693-7913
Younes BelkouchiCVN INRIA, CentraleSupelec, Universite Paris-Saclay, 91190 Gif-Sur-Yvette, France.ORCID 0000-0003-1646-8516
Littisha LawranceLaboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France.ORCID 0000-0002-0838-2053
Baya BenatsouDepartment of Imaging, Institut Gustave Roussy, 94800 Villejuif, France.
Joya HadchitiDepartment of Imaging, Institut Gustave Roussy, 94800 Villejuif, France.
Paul-Henry CournedeMICS Lab, CentraleSupelec, Universite Paris-Saclay, 91190 Gif-Sur-Yvette, France.ORCID 0000-0001-7679-6197
Samy AmmariDepartment of Imaging, Institut Gustave Roussy, 94800 Villejuif, France.ORCID 0000-0002-1506-0714
Hugues TalbotCVN INRIA, CentraleSupelec, Universite Paris-Saclay, 91190 Gif-Sur-Yvette, France.ORCID 0000-0002-2179-3498
Nathalie LassauDepartment of Imaging, Institut Gustave Roussy, 94800 Villejuif, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objective of our study is to propose fast, cost-effective, convenient, and effective biomarkers using the perfusion parameters from dynamic contrast-enhanced ultrasound (DCE-US) for the evaluation of immune checkpoint inhibitors (ICI) early response.

methodsThe retrospective cohort used in this study included 63 patients with metastatic cancer eligible for immunotherapy. DCE-US was performed at baseline, day 8 (D8), and day 21 (D21) after treatment onset. A tumor perfusion curve was modeled on these three dates, and change in the seven perfusion parameters was measured between baseline, D8, and D21. These perfusion parameters were studied to show the impact of their variation on the overall survival (OS).

resultsAfter the removal of missing or suboptimal DCE-US, the Baseline-D8, the Baseline-D21, and the D8-D21 groups included 37, 53, and 33 patients, respectively. A decrease of more than 45% in the area under the perfusion curve (AUC) between baseline and D21 was significantly associated with better OS (

conclusionAUC from DCE-US looks to be a promising new biomarker for fast, effective, and convenient immunotherapy response evaluation.

Indexed as

biomarkerDCE-USimmunotherapyoverall survivalperfusion

Identifiers

PMID35267645
PMCPMC8909556

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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.