Evidence map›Paper›PMID 41691468›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

High-Content SRS Imaging Unveils Altered Cholesterol Metabolism in Ovarian Cancers Under CAR-T Treatment.

Chinmayee V Prabhu Dessai, Zhuoying Huang, Haonan Lin, Guangrui Ding, Hongjian He, Menna Siddiqui, Meng Zhang, Wilson Wong, Ji-Xin Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Chinmayee V Prabhu DessaiDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-9568-7770
Zhuoying HuangDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Haonan LinDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Guangrui DingPhotonics Center, Boston University, Boston, Massachusetts, USA.
Hongjian HePhotonics Center, Boston University, Boston, Massachusetts, USA.
Menna SiddiquiDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Meng ZhangPhotonics Center, Boston University, Boston, Massachusetts, USA.
Wilson WongDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.
Ji-Xin ChengDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-5607-6683

Funding

Vibrational Spectroscopic Imaging to Unveil Hidden Signatures in Living SystemsR35GM136223 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHENG, JI-XIN · 2020 to 2025
$5.7M
Foundation for the National Institutes of Health R01CA224275NIGMS NIH HHS R35GM136223NIH HHS
6 · The paper itself

Abstract

Ovarian cancer is one of the most lethal gynecological cancers worldwide and has one of the highest recurrence rates. Recently developed Chimeric Antigen Receptor (CAR) -T cell therapy has shown potent clinical efficacy against hematological malignancies. However, solid tumors, including ovarian cancer, possess several mechanisms that hinder T cell activity, and metabolic alteration of cancer cells has been shown to contribute to resistance to immune cell attack against solid tumors. Here, we explore the metabolic response of ovarian cancer cells to CAR-T cell attack using label-free high-content hyperspectral stimulated Raman scattering (h

Indexed as

CholesterolImmunotherapy, AdoptiveOvarian NeoplasmsReceptors, Chimeric AntigenSpectrum Analysis, RamanAcetamidesAnimalsCell Line, TumorFemaleHumansMiceSulfonamidesAcetamidesavasimibeCholesterolReceptors, Chimeric AntigenSulfonamidescancer metabolism modulationCAR‐T therapy improvementhigh‐content SRS imagingovarian cancer

Identifiers

PMID41691468
PMCPMC13104127

What OpenQuestion holds

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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.