What factors are associated with the poor prognosis of anal adenocarcinoma compared with low-lying rectal adenocarcinoma based on a population analysis: A propensity score matching study

PLoS One. 2019 Jul 30;14(7):e0219937. doi: 10.1371/journal.pone.0219937. eCollection 2019.

Abstract

Purpose: Anal adenocarcinoma (AA) represents a rare condition, and little is known about the predictive factors of the outcomes or the optimal TNM staging system for curable AA. Using population-based data, we preliminarily sought to determine the prognostic factors and evaluate the existing T and N staging criteria of AA.

Methods: We analyzed the Surveillance, Epidemiology, and End Results 18 database to identify patients 20-80 years old who were diagnosed with AA or rectal adenocarcinoma (RA) and underwent abdominal perineal resection between 2004 and 2012. The difference between Kaplan-Meier survival curves was estimated by a log-rank test. A Cox proportional hazard regression model was used to adjust the effects of other covariates on survival in the propensity score-matched cohort, including age, gender, race, marital status, histology, grade of differentiation, tumor size, number of positive lymph nodes, radiotherapy, and chemotherapy.

Results: Compared to patients with RA, patients with AA had a worse CSS after controlling for other covariates (hazard ratio [HR], 1.96; 95% confidence interval [CI], 1.25-3.07; P<0.01). For AA, the increasing tumor size (2-5 cm: HR, 0.62; 95% CI, 0.29-1.32; P>0.05; >5 cm: HR, 1.01; 95% CI, 0.49-2.07; P>0.05) had no significant influence on survival. The number of positive lymph nodes (1-3: HR, 2.93; 95% CI, 1.55-5.53; P<0.01; ≥4: HR, 4.24; 95% CI, 2.08-8.62; P<0.01) significantly influenced survival.

Conclusions: AA confers a worse prognosis than RA does. The T staging criteria of anal carcinoma, dominated by tumor size, seem to be invalid for AA, while the number of positive lymph nodes is a prognostic factor.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adenocarcinoma / mortality*
  • Adenocarcinoma / pathology
  • Adult
  • Aged
  • Aged, 80 and over
  • Anus Neoplasms / mortality*
  • Anus Neoplasms / pathology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Neoplasm Grading
  • Neoplasm Staging
  • Prognosis
  • Propensity Score*
  • Proportional Hazards Models
  • Rectal Neoplasms / mortality*
  • Rectal Neoplasms / pathology
  • SEER Program
  • Survival Analysis
  • Young Adult

Grants and funding

This study was supported by a grant from key program of scientific research of Jinhua Central Hospital (grant number JY2016-1-02). The study was partially supported by a grant from key program of the Jinhua Municipal Science & Technology Bureau (grant number 2018-3-001d). The study was partially supported by the Medical Science & Technology Plan Project of Zhejiang Province (grant number 2013KYA212) and the Project of Jinhua Municipal Science & Technology Bureau (grant number 201204011). The study was partially supported by a grant from key program of the Jinhua Municipal Science & Technology Bureau (grant number 2016-3-006). The study was partially supported by a grant from key program of the Jinhua Municipal Science & Technology Bureau (grant number 2016-3-005). The study was partially supported by a grant from the program of the Zhejiang Province Science & Technology Department (grant number LGF18H160029). The study was partially supported by a grant from the general program of the Zhejiang Province Natural Science Foundation (grant number Y19H160126).