Could the Tumor Characteristics Identified By Colonoscopy Predict the Locally Advanced Rectal Carcinoma?

The research is supported by a fund from the Science and Technology Commission of Shanghai Municipality (No: 07DZ1950)

Objective: To investigate the clinical and pathological characteristics of locally advanced rectal carcinoma and identification of the candidates for neoadjuvant chemoradiation (nCRT).

Summary Background data: So far the nCRT has been the standard care for locally advanced rectal cancer (T3-4 or/and N1-2 lesions). But the accuracy of staging examinations (mainly ERUS and MRI) is far from excellent. Besides, such examinations or professionals are not available in many hospitals in China, while the colonoscopy and biopsy are routinely obtained before surgery.

Methods: This is a retrospective study. Patients who were treated for rectal cancer with total mesorectal excision (TME) technique at Changhai hospital from January 1999 to July 2008 were identified from our prospectively collected database. Patient’s characteristics, colonoscopy records, operative and pathologic reports were reviewed. Exclusion criteria were recurrent rectal tumors, tumors receiving nCRT, stage IV tumors, synchronous multiple colorectal carcinomas and the patients with incomplete information.

Result: Totally 1005 cases were included in this research and 761 cases were identified as locally advanced rectal cancer (T3-4 or/and N1-2 lesions) depending on postoperative TNM stage. The investigated factors included: gender, age, primary symptoms, period of symptom, synchronous polyps, CEA, CA19-9, tumor distance from the anal verge, tumor circumferential extent, tumor type, tumor size and differentiation. The results from a univariate analysis showed that nine factors were associated significantly with locally advanced rectal cancer: primary symptoms, synchronous polyps, CEA, CA19-9, tumor distance from the anal verge, tumor circumferential extent, tumor type, tumor size and differentiation. Furthermore, a multivariate logistic regression analysis was performed and indicated seven independent risk factors as followed. The poor differentiation (odds ratio [OR] 3.856; 95% confidence interval [CI]: 2.064 to 7.204; P


Session: Poster

Program Number: P169

View Poster

« Return to SAGES 2009 abstract archive