Constarium
← Search

Table · study · 2026

Cross-cancer analysis identifies metastatic-specific intratumoral microbiota signature with Streptococcus spp. as key microbial hub

Listed in NCBI GEO

Cancer remains one of the leading global health challenges, with lung (LC), breast (BC), and colorectal (CRC) cancers among the most prevalent and deadly malignancies.

Description

The intratumoral microbiota (IM), a distinct microbial ecosystem within tumor tissues, has emerged as a potential modulator of carcinogenesis, immune responses, and metastatic progression; however, comparative cross-cancer analyses are very scarce. In this study, we profiled and compared the IM composition and diversity in FFPE samples from an Italian cohort of BC (GSE212891), CRC (GSE216589), and LC patients.

BC samples exhibited the highest genus-level richness, whereas CRC samples showed significantly greater overall alpha diversity, consistent with the microbial complexity of the gut environment. LC samples displayed the most balanced microbial distribution, as indicated by the highest Shannon index value. Stratification by metastatic condition revealed distinct microbial signatures: 16 genera were exclusive to metastatic tumors and 49 to non-metastatic ones.

Read the rest (2 more)

In BC specifically, the class Clostridia and family Burkholderiaceae were enriched in non-metastatic samples, accompanied by distinct functional shifts in pantothenate and coenzyme A biosynthesis and lysine and lipid A pathways. Microbial network analysis further uncovered differences in ecological community structure and keystone taxa: Streptococcus spp. predominated as hubs in metastatic tumors, whereas Neisseria spp. were central in non-metastatic networks.

Overall, our findings highlight cancer-type– and metastasis-specific microbial signatures, supporting a potential role for the IM in tumor progression and offering avenues for biomarker development and therapeutic targeting.

Links

Topics

Stated by source
Homo sapiens · Other
From keywords
Life Sciences
Inferred from text
Cancer 75%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE30402113 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:cancerenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:othersource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title