Evidence map›Paper›PMID 40475399›Full record

ArticlebioRxiv : the preprint server for biology2025

Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer.

Xiaoying Wang, Maoteng Duan, Po-Lan Su, Jianying Li, Jordan Krull, Jiacheng Jin, Hu Chen, Yuhan Sun, Weidong Wu, Kai He and 10 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

20 authors.

Xiaoying WangDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.ORCID 0000-0001-9986-6493
Maoteng DuanDivision of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore City, 637371, Singapore.
Po-Lan SuDivision of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, 494 Biomedical Research Tower, 460 W 10th Ave., Columbus, OH 43210, USA.
Jianying LiPelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
Jordan KrullDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.
Jiacheng JinPelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
Hu ChenDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.
Yuhan SunDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.
Weidong WuDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.
Kai HePelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
Richard L CarpenterMedical Sciences, Indiana University, Bloomington, IN 47405.
Chi ZhangDepartment of Biomedical Engineering, School of Medicine, Oregon Health and Sciences University, USA.
Sha CaoDepartment of Biomedical Engineering, School of Medicine, Oregon Health and Sciences University, USA.
Dong XuDepartment of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0002-4809-0514
Guangyu WangCenter for Bioinformatics and Computational Biology, Houston Methodist Research Institute, Houston, TX 77030, USA.
Lang LiDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.
Gang XinPelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
David P CarbonePelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
Zihai LiPelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA.
Qin MaDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.

Funding

The Role of the Y Chromosome in Bladder Tumor Development, Growth And ProgressionP01CA278732 · NCI · CEDARS-SINAI MEDICAL CENTER · PI SUNGYONG YOU · 2023 to 2026
$10.7M
NCI NIH HHS P01 CA278732
6 · The paper itself

Abstract

Metastasis remains the leading cause of cancer-related mortality, yet predicting future metastasis is a major clinical challenge due to the lack of validated biomarkers and effective assessment methods. Here, we present EmitGCL, a deep-learning framework that accurately predicts future metastasis and its corresponding biomarkers. Based on a comprehensive benchmarking comparison, EmitGCL outperformed other computational tools across six cancer types from seven cohorts of patients with superior sensitivity and specificity. It captured occult metastatic cells in a patient with a lymph node-negative breast cancer, who was declared to have no evidence of disease by conventional imaging methods but was later confirmed to have a metastatic disease. Notably, EmitGCL identified

Identifiers

PMID40475399
PMCPMC12140003

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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.