Abstract 20P
Background
Tumorigenesis has been widely accepted as an evolutionary process that comprises two stages of evolution between tumors and normal tissues (Stage I) and within tumors (Stage II) 1. Patterns of mutation and natural selection, the predominant evolutionary driver forces, vary at the two stages based on the evidence of low genetic convergence among different cancer cases revealed by The Cancer Genome Atlas (TCGA) data and of extremely high intra-tumor genetic diversity measured in high-density sampling studies (Ling et al. 2015; Sottoriva et al. 2015). At Stage, I, positive and negative selection may both exist but neatly counteract in absence of recombination, presenting a plausible neutrality 1, whereas non-Darwinian (neutral) selection was increasingly supported at Stage II by the high-density sampling studies and comparatively genomic and transcriptional distances among distinct normal and cancerous cell populations. Deciphering the evolutionary patterns during tumorigenesis such as selectivity or neutrality, adaptive convergence, or divergence is of both theoretical and clinical significance. Cross-species cancer genomics, independent evolution from normal tissues, provide an excellent opportunity to address this long-standing issue: Does selection drive cancer evolution along with a relatively deterministic (selectivity) or contingent (neutrality) way across species?
Methods
GATAK pipeline and Mutect2.
Results
We performed whole-genome sequencing analysis by using GATAK pipeline and Mutect2 for twenty-four dog mammary cancers and identified 47715 somatic mutations comprising 210 exonic mutations. Comparison between human and dog reveals similarities and differences in the mutation profiles across both species, in terms of the mutated driver genes and mutation number, which are likely to influence tumor behavior and response to treatments. Human breast cancer had a higher median mutation burden comparable to canine mammary cancer, in exonic regions (2.67 and 0.187 average no. of mutations per tumor per megabase (Mb), respectively).
Conclusions
Taken together, for the first time, we reported canine mammary tumors comprising mutated genes, mutation burden, mutational patterns, spectrums, and signatures at the whole genome level.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The author.
Funding
CAS-TWAS.
Disclosure
The author has declared no conflicts of interest.
Resources from the same session
313P - Diagnostic value of micro RNA (miRNA) in renal cell cancer: A meta-analysis and systemic review
Presenter: Jestoni Aranilla
Session: e-Poster Display Session
314P - Comprehensive microbial signatures and genomic profiling in tumour samples using next generation sequencing
Presenter: Mei Qi Yee
Session: e-Poster Display Session
315P - High-penetrance breast and/or ovarian cancer susceptibility genes in Filipinos
Presenter: Frances Victoria Que
Session: e-Poster Display Session
316P - Implementation of Vela Analytics to accelerate comprehensive interpretation and reporting of next-generation sequencing-based oncology testing in clinical diagnostic laboratories
Presenter: Yingnan Yu
Session: e-Poster Display Session
317P - Genomic profiling and molecular pathology of Chinese glioma patients
Presenter: yuanli Zhao
Session: e-Poster Display Session
320P - Psychometric interplay of the perception of the real-life impact of COVID-19 pandemic: A cross-sectional survey of patients with newly diagnosed malignancies
Presenter: Kelvin Bao
Session: e-Poster Display Session
321P - Impact of COVID-19 and lockdown on adherence to treatment schedule among cancer patients
Presenter: Krishnamani Kalpathi
Session: e-Poster Display Session
322P - Challenged faced by cancer patients during the COVID-19 pandemic
Presenter: mithra Krishnamani
Session: e-Poster Display Session
323P - Oncology care in the Republic of Kazakhstan during COVID-19
Presenter: Dilyara Kaidarova
Session: e-Poster Display Session
324P - COVID era: Perception of oncologists from a developing nation
Presenter: Rakesh Roy
Session: e-Poster Display Session