The nomenclature to indicate various types of prognosis research is not standardized.
It is easily found that the N-MEG is highly significant in all types of prognosis analyses (p-values less than 10-14 in any methods).
We use prognosis research as an umbrella term for all research that might explain or predict a future outcome and prognostic factor and outcome prediction as specific types of prognosis studies.
The studies by Charafe-Jauffret [ 24], Yoshioka [ 32] and Mieog [ 18] used two types of prognosis indicators, which were classified by characteristics; OS/SS/RS made up one group, DFS/MFS/RFS made up the other group.
Increasing evidence has shown that microRNAs may be a type of significant prognosis factor and potential therapeutic target for some malignant tumors including HCC [ 16, 22, 23].
Subsequently, multiple regression analyses were modelled with the following factors: specialty group (medical vs radiation), patient age, gender, stage and type of disease, prognosis, information and involvement preferences, decision-making preference, anxiety, the presence/absence of family members, marital status, education level, occupation, and length of illness.
Regardless of the type and prognosis of a tumor, assessments of the current stage of tumor burden (presence of remission) or its change (response) have to be evaluated.
We describe three main types of related prognosis questions: 'What is the most likely course?' (Course studies); 'What factors are associated with, or determine, outcome?' (Prognostic factor or explanatory studies); and 'Can we identify risk groups who are likely to have different outcomes?' (Risk group or outcome prediction studies).
IGF1R expression has also been reported to be higher in histologic types of worse prognosis [ 21] although some studies did not show any significant association between IGF1R expression in mammary carcinomas and the clinical outcome in canine patients [ 22].
