Evidence map›Paper›PMID 42132991›Full record

ReviewScience China. Life sciences2026

Innovative technologies and future perspectives in tumor microbiomics.

Wan-Ting He, Xiaofang Xing, Fei Wang, Le Li, Ye Cheng, Gang Yao

Abstract readReview
PubMed Publisher
In one paragraph

Review in Science China. Life sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wan-Ting HeDepartment of Health Sciences, National Natural Science Foundation of China, Beijing, 100085, China.
Xiaofang XingDepartment of Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing, 100142, China.
Fei WangDepartment of Health Sciences, National Natural Science Foundation of China, Beijing, 100085, China.
Le LiDepartment of Health Sciences, National Natural Science Foundation of China, Beijing, 100085, China.
Ye ChengDepartment of Health Sciences, National Natural Science Foundation of China, Beijing, 100085, China.
Gang YaoDepartment of Health Sciences, National Natural Science Foundation of China, Beijing, 100085, China. yaogang@nsfc.gov.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms within the tumor microenvironment represent an important but still underexplored dimension of cancer biology, influencing genomic stability, immune responses, metabolism, and therapeutic efficacy. Although recent findings underscore the significance of the tumor microbiome, distinguishing causal "drivers" from non-functional "passengers" remains a major challenge, particularly in the context of extremely low microbial biomass and high contamination risk. Advances in next-generation sequencing, single-cell genomics, and spatial transcriptomics are now transforming the field, enabling profiling that extends beyond descriptive catalogs toward functional and spatial resolution. Here, we introduce a unified, contamination-aware analytical framework tailored to the unique constraints of tumor microbiome studies, integrating standardized sampling, library construction, host-depletion strategies, and multi-layer computational analysis. We also evaluate emerging technologies that couple microbial identity with host-cell states at single-cell and spatial resolution, offering new opportunities to functionally map tumor-associated microorganisms. Furthermore, we propose that the integration of orthogonal validation strategies-combining imaging, spatial transcriptomics, in situ microbial profiling, and sequencing-is poised to define the next stage of mechanistic tumor microbiome research. Together, these perspectives outline key methodological inflection points and future directions toward a mechanistic understanding of tumor-microbe interactions and their therapeutic potential.

Indexed as

MicrobiotaNeoplasmsAnimalsGenomicsHigh-Throughput Nucleotide SequencingHumansMultiomicsSpatial TranscriptomicsTumor Microenvironmentcancerslow-biomass sequencingmicrobiotanext-generation sequencingtumor microbiomics

Identifiers

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.