Evidence map›Paper›PMID 41360428›Full record

ArticleJournal for immunotherapy of cancer2025

Immuno-oncologic profiling of renal masses using multiparametric MRI: a pilot study.

Mira M Liu, Octavia Bane, Xin Mu, Haitham Al-Mubarak, Ghadi Abboud, Arthi M Reddy, Paul Kennedy, Philip Robson, Kirolos Meilika, Laura Zuluaga and 8 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2025. 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

18 authors.

Mira M LiuBiomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID http://orcid.org/0000-0002-8729-9302
Octavia BaneBiomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Xin MuBiomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Haitham Al-MubarakBiomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Ghadi AbboudDepartment of Diagnostic, Molecular and Interventional Radiology, Mount Sinai Hospital, New York, New York, USA.
Arthi M ReddyDepartment of Diagnostic, Molecular and Interventional Radiology, Mount Sinai Hospital, New York, New York, USA.
Paul KennedyBiomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Philip RobsonBiomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Kirolos MeilikaDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Laura ZuluagaDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Amir HorowitzOncological Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Bernd KuhnSiemens Healthineers AG, Erlangen, BY, Germany.
Tin Htwe ThinPathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Monica Garcia-BarrosPathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Rachel BrodyPathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Ketan BadaniDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Bachir TaouliDepartment of Diagnostic, Molecular and Interventional Radiology, Mount Sinai Hospital, New York, New York, USA.
Sara LewisDepartment of Diagnostic, Molecular and Interventional Radiology, Mount Sinai Hospital, New York, New York, USA Sara.Lewis@mountsinai.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePreoperative characterization of renal mass malignancy, subtype, and immuno-oncologic pathology could inform and improve tailored management decisions. We examine multiparametric MRI (mpMRI) for (1) sensitivity to immuno-oncologic markers of the tumor immune microenvironment and (2) classification of tumor malignancy, subtype, and grade. METHODS AND MATERIALS: In a prospective, institutional review board-approved single-center study, 40 patients (13 female/27 males, 60.4±10.7 years) scheduled to undergo surgical management of solid renal masses underwent preoperative 1.5T MRI. This included T1, multi-b-value diffusion-weighted imaging (DWI as intravoxel incoherent motion (IVIM), and apparent diffusion coefficient (ADC)), R2*, arterial spin labeling (ASL), and dynamic contrast-enhanced (DCE-)MRI. Clear cell likelihood scores (ccLS) were assigned using clinical MR images. Tumor diagnoses were extracted from the surgical histopathology. Logistic regression models were built with leave-one-out cross-validation and bootstrapping. Interobserver measurements were obtained in a subset of 27 patients, and tests-retests were run for 2 patients. Tumors from 18 patients with clear cell renal cell carcinoma (ccRCC) underwent immunohistochemistry for CD3, CD4, CD8, CD68, PD-L1, NKp46, HIF-1α, and CD31. MR biomarkers of immunohistochemistry stains were identified with Pearson's r correlation, and diagnostic OR for >5% or >15% cells stained positive, by cross-validated univariate logistic regression.

resultsOf the 40 solid renal masses (mean (range)=32 (8-68) mm), 22 were clear cell, 9 non-clear cell and 9 benign, with 10 Grade 1. IVIM

conclusionIn this pilot study, mpMRI was sensitive to immuno-oncologic biomarkers supporting preoperative MRI as a method of characterizing tumor immune microenvironment, malignancy, and subtype for informed and tailored treatment management.

Indexed as

Kidney NeoplasmsMagnetic Resonance ImagingMultiparametric Magnetic Resonance ImagingAdultAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedPilot ProjectsProspective StudiesTumor MicroenvironmentBiomarkers, TumorBiomarkerfMRI / PETKidney CancerPathologyTumor microenvironment - TME

Identifiers

PMID41360428
PMCPMC12684148

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Registered trials

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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.