Evidence map›Paper›PMID 40281423›Full record

ReviewClinical proteomics2025

Present progress in biomarker discovery of endometrial cancer by multi-omics approaches.

Yuhao An, Quanxin Feng, Li Jia, Xinrui Sha, Tuanjie Zhang, Linlin Lu, Rui Wang, Bin Bai

Abstract readReview
In one paragraph

Review in Clinical proteomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

8 authors.

Yuhao An *Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518020, China. anyh@szbl.ac.cn.
Quanxin Feng *Department of Gastrointestinal Surgery, Xijing Hospital of Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an, Shanxi, 710032, China.
Li JiaFaculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, VIC, 3052, Australia.
Xinrui ShaPingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518020, China.
Tuanjie ZhangPingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518020, China.
Linlin LuJoint Laboratory for Translational Cancer Research of Chinese Medicine of the Ministry of Education of the People's Republic of China, International Institute for Translational Chinese Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006, China.
Rui WangPingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518020, China. wangrui@szbl.ac.cn.
Bin BaiDepartment of Gastrointestinal Surgery, Xijing Hospital of Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an, Shanxi, 710032, China. baibin513127@163.com.

Funding

National Natural Science Foundation of China 82022074, 82274196, 81930114 and 22307084Shenzhen Science and Technology Program JCYJ20230807151059004
6 · The paper itself

Abstract

Endometrial cancer (EC), a prevalent and intricate disease, is associated with a poor prognosis among gynecological malignancies. Its incidence rising globally underscores the urgent need for biomarkers detection in both research and clinical settings. Over the past decade, we've witnessed rapid advancements in biological methodologies and techniques. A multitude of omics technologies, encompassing genomic/transcriptomic sequencing and proteomic/metabolomic mass spectrometry, have been extensively employed to analyze both tissue and liquid samples derived from EC patients. The integration of multi-omics data has not only broadened our understanding of the disease but also unearthed valuable biomarkers specific to EC. This review encapsulates the recent progress and future prospects in the application of multi-omics technologies in EC research, emphasizing the potential of multi-omics in uncovering novel biomarkers and enhancing clinical assessments.

Indexed as

Biomarker discoveryEndometrial cancerMulti-omics

Identifiers

PMID40281423
PMCPMC12032760

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.