Abstract 1843
Background
There are limitations in the prognosis stratification of stage III colon cancer patients using only the T and N stages, while other factors are unsure to be equally important. This study aimed to prove the prognostic importance of postoperative carcinoembryonic antigen (CEA) and stratify patients with stage III colon cancer more accurately by building a prognostic model combining CEA.
Methods
This was a retrospective cohort study. Patients with colon cancer who had CEA recorded within 100 days after resection at the centers from 2006 to 2017 were identified. The data included three different cancer centers in China: one training set and two validation sets, which were collected and analyzed in 2018. Postoperative CEA, T stage and N stage were combined to build the prognostic model, and patients with stage III colon cancer were divided into the high-risk group and the low-risk group. Harrell’s C-statistics, and net reclassification improvement (NRI) were used to assess the model performance. The disease-free survival (DFS) was compared between the high-risk group and the low-risk groups by the log-rank test.
Results
Among patients with elevated postoperative CEA, we found that CEA tested within 20 days (early test group) after resection was not reliable, since DFS of the early test group was higher than that of the delayed test group (p = 0.006). So, 834 patients with stage III disease which had CEA data for 21-100 days after resection were analyzed. In the training set, C-index for the model (combining T stage, N stage and postoperative CEA) was 0.74. Patients with elevated postoperative CEA, T4b, N2b or T4aN2a were classified as the high-risk group, with 3-year DFS of 55.8%, which was lower than the value of 86.0% in the low-risk group [hazard ratio (HR), 4.03; 95% CI, 2.49-6.54; p < 0.001]. When compared to the TNM model, this new model achieved a 10% NRI. These results were confirmed in the validation sets.
Conclusions
Patients with stage III colon cancer could be stratified much more accurately with the prognostic model combining T stage, N stage and postoperative CEA.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Harbin Medical University Cancer Hospital Preeminence Youth Fund (JCQN2019-04).
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
4732 - Progesterone Receptor Isoform Ratio Dictates Antiprogestins/Progestins Effects on Metastatic Breast Cancer Models
Presenter: Maria Abascal
Session: Poster Display session 2
Resources:
Abstract
5737 - PAM50 and CGH-array genomic characterization of HER2-Equivocal Breast Cancers defined by the 2018 ASCO/CAP recommendations.
Presenter: Carine Ngo
Session: Poster Display session 2
Resources:
Abstract
1096 - OncotypeDX® predictive nomogram for recurrence score output: a machine learning system based on quantitative immunochemistry analysis - ADAPTED01
Presenter: Fabio Marazzi
Session: Poster Display session 2
Resources:
Abstract
5426 - Geriatric parameters predict both disease-related and patient-reported outcomes in older patients with breast cancer
Presenter: Willeke van der Plas-Krijgsman
Session: Poster Display session 2
Resources:
Abstract
5865 - Patients with a 21-gene assay in South East London differ from the TAILORx trial population
Presenter: Charalampos Gousis
Session: Poster Display session 2
Resources:
Abstract
1312 - Predictive tools in adjuvant breast cancer – what is the standard of evidence supporting their utility? A literature review examining validation of Adjuvant!, Cancermath and NHS Predict
Presenter: Alice Loft
Session: Poster Display session 2
Resources:
Abstract
2445 - Oncologic outcome of invasive lobular carcinoma: Is it different from that of invasive ductal carcinoma?
Presenter: Hee Jun Choi
Session: Poster Display session 2
Resources:
Abstract
2476 - Pathologic response and survival efficacy in patients with initial nodal involvement after neoadjuvant chemotherapy in early breast cancer
Presenter: SERAFIN MORALES Murillo
Session: Poster Display session 2
Resources:
Abstract
3761 - Chemotherapy-induced amenorrhea: prognostic impact on premenopausal Egyptian patients with breast cancer
Presenter: Khaled Abdel Karim
Session: Poster Display session 2
Resources:
Abstract
4687 - Predicting the presence of breast cancer using circulating small RNA in the serum
Presenter: Yumiko Koi
Session: Poster Display session 2
Resources:
Abstract