Deletion of TNF in Winnie- APC Min/+ Mice Reveals Its Dual Role in the Onset and Progression of Colitis-Associated Colorectal Cancer.
Giulio VernaMarina LisoElisabetta CavalcantiRaffaele ArmentanoAlessandro MiragliaVladia MonsurrĂ²Marcello ChieppaDe Santis StefaniaPublished in: International journal of molecular sciences (2022)
Colorectal cancer (CRC) is among the best examples for depicting the relationship between inflammation and cancer. The introduction of new therapeutics targeting inflammatory mediators showed a marked decrease in the overall risk of CRC, although their chemopreventive potential is still debated. Specifically, a monoclonal antibody that blocks tumor necrosis factor (TNF), infliximab, increases CRC risk in inflammatory bowel disease patients. To address the axis between TNF and CRC development and progression, we depleted the Tnf from our previously established murine model of colitis-associated cancer (CAC), the Winnie- Apc Min/+ line. We characterized the new Winnie- APC Min/+- TNF-KO line through macroscopical and microscopical analyses. Surprisingly, the latter demonstrated that the deletion of Tnf in Winnie- Apc Min/+ mice resulted in an initial reduction in dysplastic lesion incidence in 5-week-old mice followed by a faster disease progression at 8 weeks. Histological data were confirmed by the molecular profiling obtained from both the real-time PCR analysis of the whole tissue and the RNA sequencing of the macrodissected tumoral lesions from Winnie- APC Min/+- TNF-KO distal colon at 8 weeks. Our results highlight that TNF could exert a dual role in CAC, supporting the promotion of neoplastic lesions onset in the early stage of the disease while inducing their reduction during disease progression.
Keyphrases
- rheumatoid arthritis
- early stage
- oxidative stress
- monoclonal antibody
- ejection fraction
- high fat diet induced
- single cell
- squamous cell carcinoma
- clinical trial
- metabolic syndrome
- minimally invasive
- squamous cell
- insulin resistance
- cancer therapy
- small molecule
- machine learning
- type diabetes
- chronic kidney disease
- data analysis
- young adults
- single molecule
- ulcerative colitis