I am working on breast cancer and try to detect somatic point mutation in FFPE samples. I am just confused about defining somatic point mutation and single nucleotide polymorphism in cancer tissue. Unfortunately I could not find any reliable source to eliminate the confusion. For instance,the same alteration classified as a polymorphism or mutation in different articles.
- For detection somatic point mutation, does it need to be use blood sample from same patients to detect ıf is it somatic or germline mutation? After comparison how can I be sure is it polymorphism or a mutation?
- If I say polymorphism what kind of material need to used? Blood or FFPE samples? What kind of control I need to use, just blood from healthy people or normal breast tissues?
In this case the OP is asking specifically about situations where we are sequencing tumors, so we are dealing with somatic variants. In this case it isn't about polymorphisms or deleteriousness, but about germline versus somatic variation.
Dear Dan,
There are SNPs that we still have no idea whether if they contribute to a disease phenotype as in GWAS studies. There are also cases of heterogeneity in a tumor sample where we detect multiple mutations but have no idea which one is the driver or even whether responsible for the malignancy. Sometimes in-vitro studies performed to replicate the effect of a particular mutation found in a tumor sample completely fails to show transforming behaviour. It does not matter in which context you use SNP and SNV, it is safer to use SNV.
SNV does not state anything about the origin(germline/somatic) or status(deleterious/benign) anyway. It just states it is a variant.
I hope this helps,
I know, I pointed out to the OP that SNV was the more correct (and safe) term to use. Somatic mutations (or suspected saomatic mutations) in general shouldn't be called SNPs because they are not population level variants. My point was that the OP wasn't talking about the debate over say SNP versus mutation nomenclature as usually applied when dealing with Mendelian diseases, but specifically terminology confusion they were seeing in the cancer genomics literature