Synthetic lethality across normal tissues is strongly associated with cancer risk, onset, and tumor suppressor specificity.
Kuoyuan ChengNishanth Ulhas NairJoo Sang LeeEytan RuppinPublished in: Science advances (2021)
Various characteristics of cancers exhibit tissue specificity, including lifetime cancer risk, onset age, and cancer driver genes. Previously, the large variation in cancer risk across human tissues was found to strongly correlate with the number of stem cell divisions and abnormal DNA methylation levels. Here, we study the role of synthetic lethality in cancer risk. Analyzing normal tissue transcriptomics data in the Genotype-Tissue Expression project, we quantify the extent of co-inactivation of cancer synthetic lethal (cSL) gene pairs and find that normal tissues with more down-regulated cSL gene pairs have lower and delayed cancer risk. Consistently, more cSL gene pairs become up-regulated in cells treated by carcinogens and throughout premalignant stages in vivo. We also show that the tissue specificity of numerous tumor suppressor genes is associated with the expression of their cSL partner genes across normal tissues. Overall, our findings support the possible role of synthetic lethality in tumorigenesis.
Keyphrases
- genome wide
- genome wide identification
- dna methylation
- gene expression
- stem cells
- copy number
- poor prognosis
- transcription factor
- genome wide analysis
- papillary thyroid
- induced apoptosis
- endothelial cells
- squamous cell
- squamous cell carcinoma
- childhood cancer
- electronic health record
- young adults
- quality improvement
- signaling pathway
- endoplasmic reticulum stress
- hepatitis c virus
- machine learning
- mesenchymal stem cells
- hiv infected
- induced pluripotent stem cells
- men who have sex with men
- pluripotent stem cells
- hiv testing