Evidence map›Paper›PMID 42015304›Full record

ReviewBiomarker research2026

Radiogenomic landscape of the hallmarks of cancer.

Guisheng Zhang, Yusheng Guo, Yanjie Yang, Tianxiang Li, Bingxin Gong, Jie Lou, Yi Li, Shu Peng, Chanyuan Liu, Xiuxue Yuan and 2 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biomarker research, 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

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

12 authors.

Guisheng Zhang *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, China.
Yusheng Guo *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, China.
Yanjie Yang *Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, China.
Tianxiang LiDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, China.
Bingxin GongDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, China.
Jie LouDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, China.
Yi LiDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, China.
Shu PengDepartment of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Chanyuan LiuDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, China.
Xiuxue YuanMedical College of Wuhan University of Science and Technology, Wuhan, Hubei, 430065, P. R. China. exiu2008@wust.edu.cn.
Fengshou ZhangCollege of Medical Technology and Engineering, Henan University of Science and Technology, No. 263 Kaiyuan Avenue, Luoyang, 471023, China. fengshouzhang@haust.edu.cn.
Lian YangDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Avenue, Wuhan, 430022, China. yanglian@hust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiogenomics, by integrating medical imaging and multidimensional genomic data, aims to identify non-invasive imaging biomarkers to aid in deciphering the molecular characteristics of tumors and provide potential support for precision medicine. However, existing research is primarily limited to statistical associations between imaging phenotypes and genes, lacking an explanation of the underlying biological mechanisms behind imaging features. This limitation severely restricts its clinical translation and application. The “hallmarks of cancer” theory proposed by Hanahan and Weinberg provides a core framework for systematically understanding tumor biological behavior. This review, for the first time, systematically associates and interprets radiogenomics with all cancer hallmarks and enabling characteristics, aiming to bridge the gap between imaging phenotypes and tumor biological mechanisms, enhance the biological interpretability of radiogenomics, and promote its advancement towards mechanism-driven precision oncology.

Indexed as

Biological interpretabilityHallmarks of cancerPrecision oncologyRadiogenomics

Identifiers

PMID42015304
PMCPMC13242680

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.