Evidence map›Paper›PMID 38294647›Full record

ReviewCellular oncology (Dordrecht, Netherlands)2024

Omics-based molecular classifications empowering in precision oncology.

Zhaokai Zhou, Ting Lin, Shuang Chen, Ge Zhang, Yudi Xu, Haijiao Zou, Aoyang Zhou, Yuyuan Zhang, Siyuan Weng, Xinwei Han and 1 more

Abstract readReview
In one paragraph

Review in Cellular oncology (Dordrecht, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Special Issue "Molecular Biomarkers in Cancers: Advances and Challenges".International journal of molecular sciences · 2026
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  13. Proteomics appending a complementary dimension to precision oncotherapy.Computational and structural biotechnology journal · 2024
    Review
  14. Review
  15. Review
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

11 authors.

Zhaokai Zhou *Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Ting Lin *Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Shuang ChenCenter of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Ge ZhangDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yudi XuDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Haijiao ZouCenter of Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Aoyang ZhouDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Yuyuan ZhangDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Siyuan WengDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
Xinwei HanDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China. fcchanxw@zzu.edu.cn.
Zaoqu LiuDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China. liuzaoqu@163.com.

Funding

the Science and Technology Department of Henan 221100310100
6 · The paper itself

Abstract

backgroundIn the past decades, cancer enigmatical heterogeneity at distinct expression levels could interpret disparities in therapeutic response and prognosis. It built hindrances to precision medicine, a tactic to tailor customized treatment informed by the tumors' molecular profile. Single-omics analysis dissected the biological features associated with carcinogenesis to some extent but still failed to revolutionize cancer treatment as expected. Integrated omics analysis incorporated tumor biological networks from diverse layers and deciphered a holistic overview of cancer behaviors, yielding precise molecular classification to facilitate the evolution and refinement of precision medicine.

conclusionThis review outlined the biomarkers at multiple expression layers to tutor molecular classification and pinpoint tumor diagnosis, and explored the paradigm shift in precision therapy: from single- to multi-omics-based subtyping to optimize therapeutic regimens. Ultimately, we firmly believe that by parsing molecular characteristics, omics-based typing will be a powerful assistant for precision oncology.

Indexed as

Medical OncologyNeoplasmsPrecision MedicineBiomarkers, TumorGenomicsHumansProteomicsBiomarkers, TumorClinical translationMolecular classificationOmics biomarkersPrecision oncology

Identifiers

PMID38294647
PMCPMC12974067

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.