GEO series
Transcriptome and microbiome-immune changes across preinvasive and invasive anal cancer lesions
GSE253560
Homo sapiens
Expression profiling by high throughput sequencing
70 samples
2024/08/04
GPL24676
Summary
Anal squamous cell carcinoma (ASCC) is a rare gastrointestinal malignancy that is linked to high-risk Human papillomavirus (HPV) infection. It is often preceded by precursor lesions like Low-Grade Squamous Intraepithelial Lesions (LGSIL) and High-Grade Squamous Intraepithelial Lesions (HGSIL). The incidence of ASCC varies across populations, with heightened risk in HIV-positive individuals. In a previous study, we characterized the anal microbiome in high-risk HIV-exposed MSM and TGW subjects. We revealed oncogenic viromes and pertinent bacterial species associated with anal SILs. Our current investigation aimed to delineate transcriptomic and metatranscriptomic changes during the progression from precancerous lesions to ASCC. We collected 70 anal tissue samples across various lesion stages (LGSIL, HGSIL, and ASCC). Our metatranscriptomic analysis revealed that Fusobacterium nucleatum, F. gonidiaformans, Bacteroides fragilis, Campylobacter ureolyticus, and Cribacterium bergeronii were more prevalent in ASCC than in precancerous lesions. These bacterial species contributed with gene encoding enzymes (e.g.: Acca, glyQ, eno, pgk and por) and oncoproteins (FadA and dnaK) revealing potential new markers for diagnosis or treatment approaches. Our unsupervised transcriptome analysis identified two distinct sample clusters based on histological diagnosis, immune infiltrate, HIV and HPV status, and pathway activities such as immune activation, cell cycle, and antiviral signaling that recapitulate the natural history of anal cancer progression. Mutations were observed affecting KMT2C (30%), PIK3CA (21%), EP300 (21%) and NOTCH1 (13%) cancer driver genes among ASCC but also in precancerous lesions. Our study provides insights into the molecular mechanisms governing anal cancer progression, offering valuable information that may help to stratify HGSIL cases with low- or high-risk progression to the malignant stages.
Download
NCBI GEO page ↗
Paper (PMID 39024554) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE199939 Comprehensive transcriptomic analysis of immune-related genes in diabetic foot ulcers: New insights into mechanisms and therapeutic targets 21 samples
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.