Evidence map›Paper›PMID 41064001›Full record

ReviewFrontiers in immunology2025

Multi-omics analysis of the tumor microenvironment after metastasis: advancing toward personalized immunotherapy and molecular targeted strategies.

Qing Gao, Huqiang Wu, Li Duan, Guanhua Lv, Dongmei Quan

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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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

5 authors.

Qing Gao *School of Life Sciences, Zhejiang Chinese Medicine University, Hangzhou, Zhejiang, China.
Huqiang Wu *Department of Ophthalmology, The First Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Li DuanDepartment of Rheumatology, The First Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Guanhua LvDepartment of Gastroenterology, The Second Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China.
Dongmei QuanSecond Clinical School, Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metastatic tumor microenvironment (TME) is a highly dynamic and heterogeneous ecosystem that plays a critical role in promoting cancer cell colonization, immune escape, and resistance to therapy. Recent advances in multi-omics technologies-including genomics, transcriptomics, epigenomics, proteomics, and metabolomics-have enabled a systems-level understanding of the molecular reprogramming that occurs in the TME following metastasis. In this review, we systematically summarize emerging findings from recent multi-omics studies that dissect cellular composition, signaling pathways, immune landscape, and metabolic rewiring within the metastatic TME. We highlight key molecular signatures and intercellular interactions that drive metastatic progression and therapy resistance. Furthermore, we discuss how integrative multi-omics data are being leveraged to identify actionable targets and to design novel immunotherapeutic and molecular precision strategies tailored to the metastatic niche. These insights provide a scientific rationale for the development of TME-targeted approaches in the treatment of advanced-stage cancers.

Indexed as

ImmunotherapyNeoplasmsPrecision MedicineTumor MicroenvironmentAnimalsGenomicsHumansMetabolomicsMolecular Targeted TherapyMultiomicsNeoplasm MetastasisProteomicsimmune evasionmetastatic tumor microenvironmentmulti-omicsprecision medicinetherapeutic resistance

Identifiers

PMID41064001
PMCPMC12500595

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.