#TumorMicrobiome
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natcancer.nature.com
PERSPECTIVE hot off the press @natcancer.nature.com !
'Setting higher standards for reports of microbial species in human cancers'

🔗 www.nature.com/articles/s43...

✒️By Steven Salzberg, Jacques Neefjes & Niranjan Nagarajan and co-authors

#tumormicrobiome
February 19, 2026 at 11:51 AM
epigenometech.bsky.social
Epigenetics Update - Intratumoral Bacillus cereus orchestrates stem-like lymphoid niches to potentiate immunotherapy response in hepatocellular carcinoma u.epigenome.us/yaqgVRS0

Gao-Jun Teng and Yun Chen in Cancer Cell

#Epigenetics #Cancer #TumorMicrobiome
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epigenometech.com
August 24, 2026 at 11:58 AM
microbesinfo.bsky.social
🧬🦠 The largest study yet shows many #cancers harbor distinct #TumorMicrobiome communities, offering new clues about cancer #biology and potential #therapies.

#Microbiology #CancerResearch #Microbiome #PrecisionMedicine #Microsky via @theconversation.com
Largest study yet reveals which cancers have their own microbiomes
Knowing which cancer tumours have their own microbiomes could lead to more personalised treatments.
theconversation.com
July 11, 2026 at 1:30 AM
alicefrolov.bsky.social
Intratumoral Fusobacterium nucleatum Colonization Across Colorectal Tissue Microhabitats

#Fusobacterium #ColorectalCancer #TumorMicrobiome #16SrRNA #FISH #SpatialBiology #MicrobiomeResearch #CancerMicrobiology
Intratumoral Fusobacterium nucleatum Colonization Across Colorectal Tissue Microhabitats I am sharing a density-style visualization summarizing the spatial enrichment of Fusobacterium nucleatum in colorectal tumors relative to adjacent normal mucosa. The figure plots relative bacterial load distributions across four spatial niches, with quantification framed in terms of 16S rRNA and FISH-based approaches. Important caveat: the data displayed are simulated. They are intended to illustrate a literature-grounded trend rather than to represent any single empirical dataset. The distributions were parameterized to reflect consistently reported observations regarding F. nucleatum enrichment gradients across tumor microhabitats. The plot contrasts four niches: the luminal/surface epithelial interface, the invasive tumor front, the tumor core, and adjacent histologically normal mucosa. The density curves depict a rightward shift and heavier right tail in tumor-associated compartments, with the invasive front and tumor core exhibiting the highest modal bacterial loads. Adjacent normal mucosa shows a comparatively narrow, left-shifted distribution consistent with lower colonization density. Mechanistically, this spatial patterning aligns with FadA-mediated adhesion to E-cadherin and subsequent β-catenin signaling activation, alongside Fap2-dependent binding to Gal-GalNAc, which is overexpressed in colorectal neoplastic tissue. Fap2 engagement of TIGIT contributes to a locally immunosuppressive microenvironment, plausibly reinforcing niche-specific persistence within the tumor core and invasive margin. I would welcome methodological input regarding normalization strategies for 16S rRNA read counts versus FISH-derived per-field enumeration, particularly approaches to reconcile compositional bias with absolute spatial quantification. Comments on appropriate spatial statistics for niche-resolved microbial density are also encouraged.
August 13, 2026 at 5:05 PM
alicefrolov.bsky.social
New Visualization: The Tumor Microbiome Landscape

I am sharing a heatmap-style visualization titled "The Tumor Microbiome Landscape: Genus-Level Bacterial Enrichment Across Human Cancers"

#TumorMicrobiome #CancerMicrobiome #Metagenomics #Oncology #Fusobacterium #MicrobialEcology #DataVisualization
New Visualization: The Tumor Microbiome Landscape I am sharing a heatmap-style visualization titled "The Tumor Microbiome Landscape: Genus-Level Bacterial Enrichment Across Human Cancers," with the subtitle "Log2 fold-change in relative abundance of intratumoral bacterial genera versus matched adjacent normal tissue across seven tumor types." Important caveat: the data depicted here are simulated. The figure is intended to illustrate a literature-grounded trend synthesized from published intratumoral microbiome studies rather than to represent any single empirical dataset. It should be interpreted as a conceptual composite for discussion and teaching purposes. The matrix arranges bacterial genera along one axis and seven tumor types (colorectal, breast, lung, pancreatic, gastric, oral, and hepatocellular) along the other, with cells colored by log2 fold-change relative to matched adjacent normal tissue. The visualization reproduces several recurrently reported patterns: marked enrichment of Fusobacterium in colorectal and oral carcinomas, consistent with FadA- and Fap2-mediated epithelial adhesion and immunomodulation; enrichment of Enterobacteriaceae-associated genera in pancreatic ductal adenocarcinoma, relevant to gemcitabine metabolism via bacterial cytidine deaminase; and comparatively low-biomass, heterogeneous signatures in breast tissue. Divergent color scaling distinguishes enrichment from depletion, and hierarchical clustering groups tumor types with concordant taxonomic profiles. My intent is to foreground tissue-specific niche selection and the mechanistic plausibility of these associations, while emphasizing that contamination controls, low-biomass artifacts, and batch effects remain critical confounders in this field. I welcome discussion on appropriate normalization strategies, the utility of log2 fold-change versus compositional approaches such as CLR transformation, and how best to represent uncertainty in low-biomass compartments.
August 25, 2026 at 5:46 PM
olgachaim.bsky.social
#tumormicrobiome #hmgb1 #necrosis #adhesion #antibioticresistance #secretion #immuneregulation #LPS #ECM
doi.org/10.1016/j.ch...
March 2, 2026 at 2:31 AM
olgachaim.bsky.social
#tumormicrobiome #resistant #immune #exhaustion #drugresistance #https://bsky.app/profile/genesndiseases.bsky.social/post/3m3mu34pjjh2h
genesndiseases.bsky.social Genes & Diseases Journal @genesndiseases.bsky.social · Oct 20
A new review highlights the advances in DNA nucleases and delivery vectors for in vivo #GeneTherapy, outlining key developments, challenges, and their future potential to treat diverse #Diseases. #medsky

#OpenAccess: www.sciencedirect.com/science/arti...
October 20, 2025 at 1:05 PM
olgachaim.bsky.social
#tumormicrobiome #resistant #antifungi #drugresistance
plosbiology.org PLOS Biology @plosbiology.org · Oct 20
#Candida albicans is a leading opportunistic fungal #pathogen of humans. Ci Fu, Leah Cowen &co expand the GRACE #Calbicans #FunctionalGenomics resource, identifying genes important for temperature-dependent fitness & highlighting its power to reveal vulnerabilities @plosbiology.org 🧪 plos.io/3Wft0Xg
Screening of expanded GRACE mutant collection at six temperatures reveals distinct functional enrichment in genes clustered by fitness profile. Top left: Schematic of GRACE mutant construction. Bottom left: Summary of GRACE mutant collection expansion based on manual curation of biological process gene ontology annotation on Candida Genome Database (CGD). Pie chart with four concentric rings visualizes the relative proportion of genes from various versions of the GRACE collection with biological process descriptions completely unannotated or annotated based on: experimentally characterization, S. cerevisiae ortholog, S. pombe ortholog, orthologs in other fungal species, conserved protein domains, or unannotated; see Materials and methods for full details. Right: Heatmap of genes ordered by hierarchical clustering of essentiality scores across screening temperatures. A score of 4 (red) represents no growth and 0 (yellow) represents growth comparable to wild type.
October 20, 2025 at 1:01 PM