Nomograms for predicting the prognosis of stage IV colorectal cancer after curative resection

A multicenter retrospective study

K. Kawai, S. Ishihara, H. Yamaguchi, E. Sunami, J. Kitayama, Hiroaki Miyata, K. Sugihara, T. Watanabe

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Purpose: Although stage IV colorectal cancer (CRC) encompasses a wide variety of clinical conditions with diverse prognoses, no statistical model for predicting the postoperative prognosis of stage IV CRC has been established. Thus, we here aimed to construct a predictive model for disease-free survival (DFS) and overall survival (OS) after curative surgery for stage IV CRC using nomograms. Methods: The study included 1133 stage IV CRC patients who underwent curative surgical resection in 19 institutions. Patients were divided into derivation (n = 586) and validation (n = 547) groups. Nomograms to predict the 1- and 3-year DFS rates and the 3- and 5-year OS rates were constructed using the derivation set. Calibration plots were constructed, and concordance indices (c-indices) were calculated. The predictive utility of the nomogram was validated in the validation set. Results: The postoperative carcinoembryonic antigen (CEA) level, depth of tumor invasion (T factor), lymph node metastasis (N factor), and number of metastatic organs were adopted as variables for the DFS-predicting nomogram, whereas the postoperative CEA level, T factor, N factor, and peritoneal dissemination were adopted for the nomogram to predict OS. The nomograms showed moderate calibration, with c-indices of 0.629 and 0.640 in the derivation set and 0.604 and 0.637 in the validation set for DFS and OS, respectively. Conclusions: The nomograms developed were capable of estimating the probability of DFS and OS on the basis of only 4 variables, and may represent useful tools for postoperative surveillance of stage IV CRC patients in routine practice.

Original languageEnglish
Pages (from-to)457-465
Number of pages9
JournalEuropean Journal of Surgical Oncology
Volume41
Issue number4
DOIs
Publication statusPublished - 2015
Externally publishedYes

Fingerprint

Nomograms
Multicenter Studies
Colorectal Neoplasms
Retrospective Studies
Disease-Free Survival
Survival
Carcinoembryonic Antigen
Calibration
Survival Rate
Statistical Models
Lymph Nodes
Neoplasm Metastasis

Keywords

  • Colorectal cancer
  • Curative resection
  • Nomogram
  • Prognosis
  • Stage IV

ASJC Scopus subject areas

  • Surgery
  • Medicine(all)
  • Oncology

Cite this

Nomograms for predicting the prognosis of stage IV colorectal cancer after curative resection : A multicenter retrospective study. / Kawai, K.; Ishihara, S.; Yamaguchi, H.; Sunami, E.; Kitayama, J.; Miyata, Hiroaki; Sugihara, K.; Watanabe, T.

In: European Journal of Surgical Oncology, Vol. 41, No. 4, 2015, p. 457-465.

Research output: Contribution to journalArticle

Kawai, K. ; Ishihara, S. ; Yamaguchi, H. ; Sunami, E. ; Kitayama, J. ; Miyata, Hiroaki ; Sugihara, K. ; Watanabe, T. / Nomograms for predicting the prognosis of stage IV colorectal cancer after curative resection : A multicenter retrospective study. In: European Journal of Surgical Oncology. 2015 ; Vol. 41, No. 4. pp. 457-465.
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abstract = "Purpose: Although stage IV colorectal cancer (CRC) encompasses a wide variety of clinical conditions with diverse prognoses, no statistical model for predicting the postoperative prognosis of stage IV CRC has been established. Thus, we here aimed to construct a predictive model for disease-free survival (DFS) and overall survival (OS) after curative surgery for stage IV CRC using nomograms. Methods: The study included 1133 stage IV CRC patients who underwent curative surgical resection in 19 institutions. Patients were divided into derivation (n = 586) and validation (n = 547) groups. Nomograms to predict the 1- and 3-year DFS rates and the 3- and 5-year OS rates were constructed using the derivation set. Calibration plots were constructed, and concordance indices (c-indices) were calculated. The predictive utility of the nomogram was validated in the validation set. Results: The postoperative carcinoembryonic antigen (CEA) level, depth of tumor invasion (T factor), lymph node metastasis (N factor), and number of metastatic organs were adopted as variables for the DFS-predicting nomogram, whereas the postoperative CEA level, T factor, N factor, and peritoneal dissemination were adopted for the nomogram to predict OS. The nomograms showed moderate calibration, with c-indices of 0.629 and 0.640 in the derivation set and 0.604 and 0.637 in the validation set for DFS and OS, respectively. Conclusions: The nomograms developed were capable of estimating the probability of DFS and OS on the basis of only 4 variables, and may represent useful tools for postoperative surveillance of stage IV CRC patients in routine practice.",
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T1 - Nomograms for predicting the prognosis of stage IV colorectal cancer after curative resection

T2 - A multicenter retrospective study

AU - Kawai, K.

AU - Ishihara, S.

AU - Yamaguchi, H.

AU - Sunami, E.

AU - Kitayama, J.

AU - Miyata, Hiroaki

AU - Sugihara, K.

AU - Watanabe, T.

PY - 2015

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N2 - Purpose: Although stage IV colorectal cancer (CRC) encompasses a wide variety of clinical conditions with diverse prognoses, no statistical model for predicting the postoperative prognosis of stage IV CRC has been established. Thus, we here aimed to construct a predictive model for disease-free survival (DFS) and overall survival (OS) after curative surgery for stage IV CRC using nomograms. Methods: The study included 1133 stage IV CRC patients who underwent curative surgical resection in 19 institutions. Patients were divided into derivation (n = 586) and validation (n = 547) groups. Nomograms to predict the 1- and 3-year DFS rates and the 3- and 5-year OS rates were constructed using the derivation set. Calibration plots were constructed, and concordance indices (c-indices) were calculated. The predictive utility of the nomogram was validated in the validation set. Results: The postoperative carcinoembryonic antigen (CEA) level, depth of tumor invasion (T factor), lymph node metastasis (N factor), and number of metastatic organs were adopted as variables for the DFS-predicting nomogram, whereas the postoperative CEA level, T factor, N factor, and peritoneal dissemination were adopted for the nomogram to predict OS. The nomograms showed moderate calibration, with c-indices of 0.629 and 0.640 in the derivation set and 0.604 and 0.637 in the validation set for DFS and OS, respectively. Conclusions: The nomograms developed were capable of estimating the probability of DFS and OS on the basis of only 4 variables, and may represent useful tools for postoperative surveillance of stage IV CRC patients in routine practice.

AB - Purpose: Although stage IV colorectal cancer (CRC) encompasses a wide variety of clinical conditions with diverse prognoses, no statistical model for predicting the postoperative prognosis of stage IV CRC has been established. Thus, we here aimed to construct a predictive model for disease-free survival (DFS) and overall survival (OS) after curative surgery for stage IV CRC using nomograms. Methods: The study included 1133 stage IV CRC patients who underwent curative surgical resection in 19 institutions. Patients were divided into derivation (n = 586) and validation (n = 547) groups. Nomograms to predict the 1- and 3-year DFS rates and the 3- and 5-year OS rates were constructed using the derivation set. Calibration plots were constructed, and concordance indices (c-indices) were calculated. The predictive utility of the nomogram was validated in the validation set. Results: The postoperative carcinoembryonic antigen (CEA) level, depth of tumor invasion (T factor), lymph node metastasis (N factor), and number of metastatic organs were adopted as variables for the DFS-predicting nomogram, whereas the postoperative CEA level, T factor, N factor, and peritoneal dissemination were adopted for the nomogram to predict OS. The nomograms showed moderate calibration, with c-indices of 0.629 and 0.640 in the derivation set and 0.604 and 0.637 in the validation set for DFS and OS, respectively. Conclusions: The nomograms developed were capable of estimating the probability of DFS and OS on the basis of only 4 variables, and may represent useful tools for postoperative surveillance of stage IV CRC patients in routine practice.

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KW - Prognosis

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