Epigenetic Modulation, Intra-tumoral Microbiome and Immunity in Early Onset Colorectal Cancer
Jin, N.; Hoyd, R.; Yilmaz, A. S.; Zhu, J.; Liu, Y.; Singh, M. J.; Grencewicz, D.; Mo, X.; Kalady, M.; Rosenberg, D.; Dravillas, C. E.; Singer, E. A.; Carpten, J. D.; Chan, C. H.; Churchman, M. L.; Denko, N. C.; Di Clemente, F.; Dodd, R. D.; Eljilany, I.; Fei, N.; Hardikar, S.; Ikeguchi, A. P.; Ma, A.; Ma, Q.; McCarter, M. D.; Osman, A. E.; Riedlinger, G.; Robinson, L. A.; Schneider, B. P.; Tarhini, A. A.; Tinoco, G.; Figueiredo, J.; Zakharia, Y.; Ulrich, C. M.; Tan, A. C.; Spakowicz, D.
Show abstract
BackgroundThe incidence of colorectal cancer (CRC) in young adults (age of diagnosis < 50 years old) has been rapidly increasing. Although [~]20% of early-onset (EO) CRC cases are due to germline mutations, the etiology of the majority of EOCRC cases remains poorly understood. Non-genetic factors such as environmental exposure and lifestyle changes are likely to have a direct link to the increased incidence of sporadic EOCRC. We hypothesize that such factors may be observable as differences in the EOCRC epigenome, microbiome and immunome. We sought to address this by comparing differences in DNA methylation from the cohort of colorectal cancer patients in The Cancer Genome Atlas (TCGA). Further, we carefully identified intra-tumoral microbes from TCGA and two other datasets and then related the microbes to EOCRC status and deconvolved immune cell abundances. We found that DNA methylation (DNAm) age acceleration by12 years when compared with average-onset CRC (AOCRC) patients. Differentially methylated sites associated with genes are related to CREB signaling in neurons, G protein coupled receptor signaling, phagosome formation and S100 family signaling. These differences were validated in the gene expression from TCGA and a second, larger real-world dataset from the Oncology Research Information Exchange Network (ORIEN). However, no consistent differences were observed in the intra-tumor microbes between EOCRC and AOCRC. Interestingly, the most abundant microbes interacted with the immune systems differently between the EOCRC and AOCRC tumors, characterized by more, larger, positive correlations in EOCRC. These data suggest epigenetic modulation and accelerated aging may play a key role in the development of EOCRC. SIGNIFICANCEWe investigated whether environmentally driven factors contribute to early-onset colorectal cancer (EOCRC). We observed accelerated epigenetic aging in EOCRC and epigenetic changes associated with chronic inflammation. Tumor immune cell abundances correlated more strongly with microbes in EOCRC than average-onset CRC. These data suggest a dysregulation of immune response in EOCRC, driving chronic inflammation and tissue aging.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Rat leukocyte population dynamics predicts a window for intervention in aging. 94%
- Multi-gradient Permutation Survival Analysis Identifies Mitosis and Immune Signatures Steadily Associated with Cancer Patient Prognosis 94%
- Long-term Hematopoietic Transfer of the Anti-Cancer and Lifespan-Extending Capabilities of A Genetically Engineered Blood System by Transplantation of Bone Marrow Mononuclear Cells 94%
Similar papers in this journal
- Development of a novel transcriptomic measure of aging: Transcriptomic Mortality-risk Age (TraMA) 94%
- Metformin use history and genome-wide DNA methylation profile: potential molecular mechanism for aging and longevity 93%
- Epidermal stem cell compartment remains unaffected through aging in naked mole-rats. 92%
Similar papers in this journal
Similar papers in this journal
- Somatic mutational profiles and germline polygenic risk scores in human cancer 93%
- DNA methylation reveals distinct cells of origin for pancreatic neuroendocrine carcinomas (PanNECs) and pancreatic neuroendocrine tumors (PanNETs) 93%
- Pan-cancer identification of clinically relevant genomic subtypes using outcome-weighted integrative clustering 92%
Similar papers in this journal
- Using deep learning to predict age from liver and pancreas magnetic resonance images allows the identification of genetic and non-genetic factors associated with abdominal aging 94%
- Epigenetic rejuvenation of the hippocampus by environmental enrichment 94%
- A New Gene Set Identifies Senescent Cells and Predicts Senescence-Associated Pathways Across Tissues 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.