Evidence map›Paper›PMID 41225352›Full record

ArticleBMC medical imaging2025

Radiomic imaging models for predicting breast cancer prognosis based on Interleukin-18 (IL18).

Qian Zhou, Mie Chen, Xiahui Ye, Jie Wang, Xun Lu, Wenjie Shi, Cheng Lu, Hong Yin

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Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qian Zhou *Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China.
Mie Chen *Women's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China.
Xiahui YeWomen's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China.
Jie WangWomen's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China.
Xun LuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, China.
Wenjie ShiWomen's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China.
Cheng LuWomen's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China.
Hong YinWomen's Hospital of Nanjing Medical University (Nanjing Women and Children's Healthcare Hospital), Nanjing, 210004, China. yh_njfy@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOur study was aimed to established imaging models that can predict the prognosis of breast cancer patients based on IL18, so as to facilitate the formulation of more individualized treatment plans during the treatment.

methodWe established enhancing MRI models to predict the mRNA expression of IL18 in breast cancer tissues. Meanwhile, bioinformatics analysis was integrated to studied the expression of IL18 in breast cancer with its clinical significance to explore the potential molecular mechanisms and its association with the immune microenvironment.

resultIn breast cancer patients, high levels of IL18 expression are associated with improved overall survival (OS), and natural killer cells (NK cells) significantly increased (P < 0.001) with elevated IL18. Three radiomics models, RFE-GBM, Relief-GBM, and RFE_Relief-GBM were established in our study, each model demonstrated strong predictive consistency in the prognosis of breast cancer patients.

conclusionIL18 is a protective factor in breast cancer, our radiomics models can serve as valuable non-invasive tools for utilizing mRNA expression of IL18 by enhancing MRI and show promise in predicting prognosis of breast cancer patients. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Breast NeoplasmsInterleukin-18Magnetic Resonance ImagingAdultFemaleHumansKiller Cells, NaturalMiddle AgedPrognosisRadiomicsRNA, MessengerTumor MicroenvironmentIL18 protein, humanInterleukin-18RNA, MessengerBreast cancerIL18PrecictionRadiomic models

Identifiers

PMID41225352
PMCPMC12613398

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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.