Discussion
tumor, early-stage disease, CRC, early-onset early-stage CC, early-onset stage I
TUMOR, SOLID TUMORS, METASTASES
As is well known, the incidence of early-onset CRC is on the rise. The reasons for this trend remain unclear. Moreover, some patients with early-stage disease do not achieve a satisfactory outcome despite undergoing surgery. We therefore selected eligible patients from the SEER database with the aim of developing and validating a prognostic nomogram model for patients with early-onset stage I–II CC and established that this nomogram has good prognostic value.In our study, univariate and multivariate analysis identified T stage, race, and marital status as the most significant predictors of OS. It is well established that, in patients with early-stage solid tumors without lymph node or distant metastases, the T stage of the TNM staging system makes a major contribution to determining prognosis [In addition, our nomogram identified that race is significantly associated with survival, patients in the “other” category having a higher survival rate than those categorized as white or black. Previous research on advanced CC has had similar results [Another significant variable identified by our nomogram was marital status; this is consistent with the findings of other studies that married patients have survival advantages [The prognostic risk of patients with early-onset early-stage CC can be quantified relatively on the basis of these three variables. To our knowledge, few studies have focused on and explored this question. However, variables not included in the model should not be ignored. They may also affect prognosis under certain conditions that are yet to be determined [Our study had some limitations. First, it was retrospective; the data came from a public database and had not been validated in the real world. Second, some potentially relevant details, such as molecular markers, molecular pathological features of tumor, surgical procedures, inflammatory and tumor indicators, and specifics of postoperative treatment, were not available, possibly resulting in bias. Finally, the nomogram and risk classification system should be further verified in another institution.