摘要
Several parameters for predicting survival in patients with colorectal cancer have been identified, including the performance status, age, gender and tumor-nodemetastasis(TNM) stage. Although the TNM stage is important and useful for predicting the prognosis and determining the appropriate treatment, it is well known that the survival time varies widely, even in patients with the same stage of disease. Therefore, the identification of new parameters capable of more precisely predicting patient survival is needed to help select the optimal treatment, especially in patients in the advanced stage of disease. Although the TNM stage reflects the tumor characteristics, cancer progression and survival are not determined solely based on the local characteristics of the tumor, but also the host systemic immune/inflammatory response. Therefore, using a combination of parameters that reflect both tumor characteristics and the host systemic inflammatory status is thought to be important for accurately predicting patient survival.
Several parameters for predicting survival in patientswith colorectal cancer have been identified, includingthe performance status, age, gender and tumor-nodemetastasis(TNM) stage. Although the TNM stage isimportant and useful for predicting the prognosis anddetermining the appropriate treatment, it is well knownthat the survival time varies widely, even in patients withthe same stage of disease. Therefore, the identificationof new parameters capable of more precisely predictingpatient survival is needed to help select the optimaltreatment, especially in patients in the advanced stageof disease. Although the TNM stage reflects the tumorcharacteristics, cancer progression and survival are notdetermined solely based on the local characteristics ofthe tumor, but also the host systemic immune/inflammatoryresponse. Therefore, using a combination ofparameters that reflect both tumor characteristics andthe host systemic inflammatory status is thought to beimportant for accurately predicting patient survival.