A novel prognostic prediction model for recurrence in patients with stage II colon cancer after curative resection

The present study aimed to clarify the risk factors for recurrence of stage II colon cancer in patients and to determine possible treatment options for postoperative adjuvant chemotherapy. A prediction model for recurrence in patients with stage II colon cancer after curative surgical resection was...

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Bibliographic Details
Published in:Molecular and clinical oncology 2018-12, Vol.9 (6), p.697-701
Main Authors: Saso, Kazuhiro, Myoshi, Norikatsu, Fujino, Shiki, Takenaka, Yuya, Takahashi, Yusuke, Nishimura, Junichi, Yasui, Masayoshi, Ohue, Masayuki, Tokuoka, Masayoshi, Ide, Yoshito, Takahashi, Hidekazu, Haraguchi, Naotsugu, Hata, Taishi, Matsuda, Chu, Mizushima, Tsunekazu, Doki, Yuichiro, Mori, Masaki
Format: Article
Language:English
Subjects:
Adjuvant chemotherapy
Antigens
Body mass index
Cancer patients
Cancer research
Cancer treatment
Carcinoembryonic antigen
Care and treatment
Chemotherapy
Classification
Colon cancer
Colorectal cancer
Development and progression
Dissection
Excision (Surgery)
Females
Histology
Laparoscopy
Lymphatic system
Medical prognosis
Medical research
Methods
Multivariate analysis
Oncology
Patient outcomes
Recurrence (Disease)
Risk factors
Studies
Surgery
Tomography
Tumors
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Summary:The present study aimed to clarify the risk factors for recurrence of stage II colon cancer in patients and to determine possible treatment options for postoperative adjuvant chemotherapy. A prediction model for recurrence in patients with stage II colon cancer after curative surgical resection was developed. The present study retrospectively investigated 436 patients who underwent curative resection for stage II colon cancer at Osaka International Cancer Institute and Yao Municipal Hospital between 2004 and 2012. Several clinicopathological factors were examined and the Cox regression model was used to develop a prediction model for recurrence. The prediction model was validated in an independent group of 213 patients who underwent surgery at Osaka University Hospital between 2001 and 2012. Univariate analysis revealed that preoperative serum carcinoembryonic antigen level, preoperative obstruction, tumor invasion, lymphatic invasion and venous invasion were significantly correlated with disease-free survival. Using these variables, a classification and regression tree was constructed as a prediction model. The prediction models were validated by external datasets in an independent patient group. The concordance indices for DFS after current surgical resection were 0.675 in the learning set and 0.552 in the validation set. To conclude, a novel, reliable and personalized prognostic model was developed to predict recurrence in patients with stage II colon cancer, which may help clinicians to determine and perform adjuvant chemotherapy.
ISSN:2049-9450
2049-9469
DOI:10.3892/mco.2018.1733