Abstract: The present invention relates to a Statistical method of assessing whether a subject suffers from Cancer or is prone to suffering from Cancer, said method comprising the step of performing at least one Statistical algorithm for Classification and for regression on measurement data of the subject, wherein the measurement data of the subject comprises at least one of the following: a value of GATA6 Em isoform in at least one sample taken from the subject, a value NKX2-1 Em isoform in said at least one sample, a value of GATA6 Ad isoform in said at least one sample, NKX2-1 Ad isoform in said at least one sample; and wherein at least one of the following is used as at least one classifier or a component of at least one classifier in the Statistical method: GATA6 Em isoform, NKX2-1 Em isoform, GATA6 Ad isoform, NKX2-1 Ad isoform, ratio of GATA6 Em isoform/GATA6 Ad isoform, ratio of NKX2-1 Em isoform/NKX2-1 Ad isoform.