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Transcriptome and microbiome-immune changes across preinvasive and invasive anal cancer lesions
Ezequiel Lacunza, Valeria Fink, María E. Salas, Ana M. Gun, Jorge A. Basiletti, María A. Picconi, Mariano Golubicki, Juan Robbio, Mirta Kujaruk, Soledad Iseas, Sion Williams, María I. Figueroa, Omar Coso, Pedro Cahn, Juan C. Ramos, Martín C. Abba
Ezequiel Lacunza, Valeria Fink, María E. Salas, Ana M. Gun, Jorge A. Basiletti, María A. Picconi, Mariano Golubicki, Juan Robbio, Mirta Kujaruk, Soledad Iseas, Sion Williams, María I. Figueroa, Omar Coso, Pedro Cahn, Juan C. Ramos, Martín C. Abba
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Research Article Cell biology Oncology

Transcriptome and microbiome-immune changes across preinvasive and invasive anal cancer lesions

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Abstract

Anal squamous cell carcinoma (ASCC) is a rare gastrointestinal malignancy linked to high-risk human papillomavirus (HPV) infection, which develops from precursor lesions like low-grade squamous intraepithelial lesions and high-grade squamous intraepithelial lesions (HGSILs). ASCC incidence varies across populations and poses increased risk for people living with HIV. Our investigation focused on transcriptomic and metatranscriptomic changes from squamous intraepithelial lesions to ASCC. Metatranscriptomic analysis highlighted specific bacterial species (e.g., Fusobacterium nucleatum, Bacteroides fragilis) more prevalent in ASCC than precancerous lesions. These species correlated with gene-encoding enzymes (Acca, glyQ, eno, pgk, por) and oncoproteins (FadA, dnaK), presenting potential diagnostic or treatment markers. Unsupervised transcriptomic analysis identified distinct sample clusters reflecting histological diagnosis, immune infiltrate, HIV/HPV status, and pathway activities, recapitulating anal cancer progression’s natural history. Our study unveiled molecular mechanisms in anal cancer progression, aiding in stratifying HGSIL cases based on low or high risk of progression to malignancy.

Authors

Ezequiel Lacunza, Valeria Fink, María E. Salas, Ana M. Gun, Jorge A. Basiletti, María A. Picconi, Mariano Golubicki, Juan Robbio, Mirta Kujaruk, Soledad Iseas, Sion Williams, María I. Figueroa, Omar Coso, Pedro Cahn, Juan C. Ramos, Martín C. Abba

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Figure 6

Integrative analysis of host transcriptome of LGSIL, HGSIL, and ASSC.

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Integrative analysis of host transcriptome of LGSIL, HGSIL, and ASSC.
(A...
(A) Tile plot illustrating signature scores, HPV status, and HIV status of samples distributed according to the unsupervised clustering analysis. Statistical significance was determined through the application of Fisher’s exact test. (B) Immune profiling and cell fraction composition for each sample using ESTIMATE and EPIC, respectively. (C) T cell dysfunction and exclusion (TIDE) score for each sample. Statistical significance was determined through the application of Fisher’s exact test. (D) Relative mRNA abundance of CDKN2A (p16) and MKI67 (Ki67) across samples in cluster I versus cluster II. (E) Comparative analysis of clusters for age and gender. Statistical significance was determined through the application of a t test for age and χ2 test for gender. *P < 0.05; **P < 0.01; ***P < 0.001.

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