Evidence map›Paper›PMID 40257906›Full record

ArticleDatabase : the journal of biological databases and curation2025

MIPD: Molecules, Imagings, and Clinical Phenotype Integrated Database.

Jiaojiao Zhao, Min Wu, Meihua Wan, Xue Li, Jie Li, Qin Liu, Minghao Xiong, Mengjie Tu, Jun Zhou, Shilin Li and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Database : the journal of biological databases and curation, 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

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

19 authors.

Jiaojiao ZhaoDepartment of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Min WuHuaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu 610041, China.ORCID 0000-0002-7733-2498
Meihua WanWest China Center of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu 610041, China.
Xue LiDepartment of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Jie LiDepartment of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Qin LiuDepartment of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Minghao XiongDepartment of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Mengjie TuDepartment of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Jun ZhouDepartment of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Shilin LiDepartment of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Jie ZhangDepartment of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Jiangping FuDepartment of Oncology, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Yin ZhangDepartment of Oncology, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Chungang ZhaoDepartment of Radiology, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Litong QinDepartment of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Xue YangDepartment of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.
Hong ZhaoDepartment of Hepatobiliary Surgery, State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 9 Dong Dan San Tiao, Beijing 100000, China.
Yan ZhangLung Cancer Center, West China Hospital of Sichuan University, 37 Guo Xue Xiang, Chengdu 610041, China.
Fanxin ZengDepartment of Clinical Research Center, Sichuan Clinical Research Center for Medical Imaging, Dazhou Key Laboratory for Precision Cancer Therapy, Dazhou Key Laboratory for Artificial Intelligence and Medical Imaging, Dazhou Central Hospital, 56 Nan Yue Miao Street, Dazhou 635000, China.ORCID 0000-0002-7337-4463

Funding

Health Commission of Sichuan Province 24WSXT083National Key Research and Development Program of China 2024ZD0520500 2024ZD0520505Science and Technology Department of Sichuan Province 2024JDHJ0039
6 · The paper itself

Abstract

Due to tumor heterogeneity, a subset of patients fails to benefit from current treatment strategies. However, an integrated analysis of imaging features, genetic molecules, and clinical phenotypes can characterize tumor heterogeneity, enabling the development of more personalized treatment approaches. Despite its potential, cross-modal databases remain underexplored. To address this gap, we established a comprehensive database encompassing 9965 genes, 5449 proteins, 1121 metabolites, 283 pathways, 854 imaging features, and 73 clinical factors from colorectal cancer patients. This database identifies significantly distinct molecules and imaging features associated with clinical phenotypes and provides survival analysis based on these features. Additionally, it offers genetic molecule annotations, comparative expression levels between tumor and normal tissues, imaging features linked to genetic molecules, and imaging-based models for predicting gene expression levels. Furthermore, the database highlights correlations between genetic molecules, clinical factors, and imaging features. In summary, we present MIPD (Molecules, Imaging, and Clinical Phenotype Correlation Database), a user-friendly, interactive, and specialized platform accessible at http://corgenerf.com. MIPD facilitates the interpretability of cross-modal data by providing query, browse, search, visualization, and download functionalities, thereby offering a valuable resource for advancing precision medicine in colorectal cancer. Database URL: http://corgenerf.

Indexed as

Colorectal NeoplasmsDatabases, FactualDatabases, GeneticHumansPhenotype

Identifiers

PMID40257906
PMCPMC12010968

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.