Histopathological factors as predictors for survival in colon and rectal cancers

Rom J Morphol Embryol. 2008;49(3):365-9.

Abstract

Colorectal cancer is one of the most frequent malignant diseases with a raising incidence in Romania. Survival at 5-years even was improved in the last decade, remains low especially because of delayed diagnosis. Many clinical-biological and pathological factors have demonstrate a good prognostic value over the time but there are not a wide consensus in this field. The aim of our study is to evaluate the accepted pathological prognostic factors of survival for colorectal cancer in relation to management adopted in a general surgical clinic. We included in our study 273 patients with colon and rectal cancers admitted in Surgical Clinic of Military Hospital of Craiova in which we evaluate the clinical-pathological features, location of the distant metastasis, postoperative staging, curability and survival. We established correlations, inside of a same stage of the disease, for pathological features (characters of the tumors, differentiation grade and location) and survival rate. Our results showed that curative resection is one of the most important factors that could improve survival. Tumor differentiation is correlated with survival only for the patients with stage II and III of the disease, perineural invasion and pathologic N stage representing important predicting factors for a shorter survival. Peritoneal washing for cytology prior to surgery is correlated with the stage of the disease and not with tumor differentiation.

Publication types

  • Evaluation Study

MeSH terms

  • Adenocarcinoma / diagnosis*
  • Adenocarcinoma / mortality
  • Adenocarcinoma / pathology*
  • Adult
  • Aged
  • Aged, 80 and over
  • Colorectal Neoplasms / diagnosis*
  • Colorectal Neoplasms / mortality
  • Colorectal Neoplasms / pathology*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Necrosis / diagnosis
  • Neoplasm Invasiveness
  • Neoplasm Metastasis
  • Neoplasm Staging
  • Prognosis
  • Survival Analysis