Evidence map›Paper›PMID 41379246›Full record

ReviewDiscover oncology2025

Omics-enhanced nanomedicine: integrating multi-omics for precision cancer diagnosis and therapy.

Lihui Yan, Boshi Duan, Tianyou Wang, Tianzuo Wang, Huanyu Chi, Hongji Gao

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Lihui Yan *Department of Pain Relief Therapeutic, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, China.
Boshi Duan *Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Tianyou Wang *ShenYang No. 126 Middle School, Shenyang, China.
Tianzuo Wang *ShenYang No. 126 Middle School, Shenyang, China.
Huanyu ChiDepartment of General Surgery, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital and Institute, Shenyang, China. 2101216554@qq.com.
Hongji GaoDepartment of General Surgery, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital and Institute, Shenyang, China. gaohongji202501@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer nanomedicine has emerged as a transformative approach in oncology, providing targeted therapeutic strategies with enhanced efficacy and reduced systemic toxicity. The integration of multi-omics technologies has further revolutionized this field.This review was conducted based on a systematic literature search using PubMed, Web of Science, and Scopus databases. Keywords included “cancer nanomedicine,” “multi-omics,” “precision oncology,” “nanoparticle,” and related terms. The search was limited to articles published between 2000 and 2024. Only English-language full-text articles reporting original research or clinical studies relevant to omics-enhanced nanomedicine were included. This review uniquely synthesizes recent advances in omics-enhanced nanomedicine, highlighting the integration of multi-omics data for precision cancer therapy. Key innovations include omics-driven nanoparticle design, patient stratification via biomarker panels, and synergy with immunotherapy. Future directions focus on AI-aided data integration and clinical translation.

Indexed as

Cancer nanomedicineOmics technologiesPersonalized medicineTherapeutic strategiesTumor heterogeneity

Identifiers

PMID41379246
PMCPMC12804575

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.