Evidence mapPaperPMID 40855431Full record

ReviewMolecular cancer2025

Single-cell multi-omics in cancer immunotherapy: from tumor heterogeneity to personalized precision treatment.

Jiayuan Le, Yating Dian, Deze Zhao, Ziyu Guo, Zehao Luo, Xiang Chen, Furong Zeng, Guangtong Deng

Abstract readReview
In one paragraph

Review in Molecular cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 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.

Jiayuan LeDepartment of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya road, Changsha, Hunan, 410008, China.
Yating DianDepartment of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya road, Changsha, Hunan, 410008, China.
Deze ZhaoDepartment of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ziyu GuoDepartment of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya road, Changsha, Hunan, 410008, China.
Zehao LuoDepartment of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya road, Changsha, Hunan, 410008, China.
Xiang ChenDepartment of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya road, Changsha, Hunan, 410008, China.
Furong ZengDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China. zengflorachn@hotmail.com.
Guangtong DengDepartment of Dermatology, Xiangya Hospital, Central South University, 87 Xiangya road, Changsha, Hunan, 410008, China. dengguangtong@outlook.com.

Funding

Huxiang Youth Talent Program 2023RC3072Huxiang Youth Talent Support Program 2024RC3043National Natural Science Foundation of China 82272849Natural Science Fund for Outstanding Youths in Hunan Province 2023JJ20093
6 · The paper itself

Abstract

Cancer immunotherapy has revolutionized clinical oncology; however, the inherent complexity and heterogeneity of cancer present substantial challenges to achieving broad therapeutic efficacy. Tumor heterogeneity manifests not only among different patients but also within individual tumors, further complicating personalized treatment approaches. Single-cell sequencing technologies encompassing genomics, transcriptomics, epigenomics, proteomics, and spatial omics have significantly enhanced our ability to dissect tumor heterogeneity at single-cell resolution with multi-layered depth. These approaches have illuminated tumor biology, immune escape mechanisms, treatment resistance, and patient-specific immune response mechanisms, thereby substantially advancing precision oncology strategies. This review systematically examines recent advances in single-cell multi-omics technologies across various cancer research areas, emphasizing their transformative impacts on understanding tumor heterogeneity, immunotherapy, minimal residual disease monitoring, and neoantigen discovery. Additionally, we discuss current technical and analytical limitations and unresolved questions associated with single-cell technologies. We anticipate single-cell multi-omics technologies will become central to precision oncology, facilitating truly personalized therapeutic interventions.

Indexed as

GenomicsImmunotherapyNeoplasmsPrecision MedicineSingle-Cell AnalysisAnimalsBiomarkers, TumorGenetic HeterogeneityHumansMultiomicsProteomicsBiomarkers, TumorImmunotherapyPersonalized therapySingle-cell sequencingTumor heterogeneity

Identifiers

PMID40855431
PMCPMC12376342

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.