Annals of Medicine (Dec 2023)
Novel applications of histopathological markers to distinguish prognostic subgroups in colorectal adenocarcinoma
Abstract
AbstractObjective To explore the novel applications of histological factors by stratifying the prognostic markers of the overall CRC patients in subgroups.Materials and methods A total of 17 histopathological and molecular factors were retrospectively collected and systematically analyzed for the prediction of CRC prognosis in the overall and stratified subgroups by using the Kaplan-Meier curve analysis as well as the Cox regression test. The χ2 test was used to analyze the correlation of the prognostic markers with other factors.Results The histopathological markers including the lymph node metastasis (LNM), perineural/venous invasion (PVI), TNM stage, the local recurrence or distant metastasis after surgery (R/M) and the molecular markers Ki-67 expression as well as KRAS mutation were identified to be the independent prognostic biomarkers in the overall CRC. The differential prognosis of LNM was found to be significant in age, tumor site, histological classification (histo_classification), cell differentiation, and KRAS/NRAS/BRAF (KNB) mutation stratified subgroups. The PVI was discovered to differently predict survival for patients in age, histo_classification, differentiation, and R/M stratified subgroups. Same as LNM and PVI, TNM was also found to demonstrate differential prognosis in age, tumor site, histo_classification, differentiation, R/M status and KRAS/KNB mutation stratified subgroups. More importantly, R/M was firstly identified not to be terrible for patients in age, histo_classification, LNM, TNM, Ki-67, and KRAS/KNB stratified subgroups. Besides, KRAS mutation was innovatively found to show differential prognosis in age, differentiation, and LNM stratified subgroups.Conclusions The stratification analyses of prognostic markers in CRC patients indicate novel applications of the above histopathological and molecular markers in clinic and the findings provide new insights into future investigations of precision pathology.
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