Contemporary Validation of a Nomogram Predicting Colon Cancer Recurrence, Revealing All-Stage Improved Outcomes.


Journal

JNCI cancer spectrum
ISSN: 2515-5091
Titre abrégé: JNCI Cancer Spectr
Pays: England
ID NLM: 101721827

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 11 12 2018
revised: 28 01 2019
accepted: 21 03 2019
entrez: 24 5 2019
pubmed: 24 5 2019
medline: 24 5 2019
Statut: ppublish

Résumé

The Memorial Sloan Kettering Cancer Center (MSK) colon cancer recurrence nomogram is a risk calculator that provides patients and clinicians with individualized prediction of recurrence following curative resection of colon cancer. Although validated on multiple separate cohorts, the nomogram requires periodic updating as patient care changes over time. The aim of this study was to evaluate the nomogram's accuracy in a contemporary cohort and modify the tool to reflect improvements in outcome related to advances in colon cancer therapy. A contemporary patient cohort was compiled, including consecutive colon cancer patients undergoing curative resection for stage I-III colon adenocarcinoma at MSK from 2007 to 2014. The nomogram's predictive accuracy was assessed by concordance index and calibration plots of predicted vs actual freedom from recurrence at 5 years after surgery. Data from a total of 999 eligible patients with complete records were used for validation. Median follow-up among survivors was 37 months. The concordance index was 0.756 (95% confidence interval = 0.707 to 0.805), indicating continued discriminating power, but the calibration plot revealed that the nomogram overestimated recurrence risk. Recalibration of the nomogram by estimating a new baseline freedom-from-recurrence function restored the nomogram's accuracy. The updated nomogram retains the original nomogram's variables but includes a lower baseline estimation of recurrence risk, reflecting improvements in outcomes for all stages of colon cancer, likely resulting from advances in imaging and integration of multiple treatment modalities.

Sections du résumé

BACKGROUND BACKGROUND
The Memorial Sloan Kettering Cancer Center (MSK) colon cancer recurrence nomogram is a risk calculator that provides patients and clinicians with individualized prediction of recurrence following curative resection of colon cancer. Although validated on multiple separate cohorts, the nomogram requires periodic updating as patient care changes over time. The aim of this study was to evaluate the nomogram's accuracy in a contemporary cohort and modify the tool to reflect improvements in outcome related to advances in colon cancer therapy.
METHODS METHODS
A contemporary patient cohort was compiled, including consecutive colon cancer patients undergoing curative resection for stage I-III colon adenocarcinoma at MSK from 2007 to 2014. The nomogram's predictive accuracy was assessed by concordance index and calibration plots of predicted vs actual freedom from recurrence at 5 years after surgery.
RESULTS RESULTS
Data from a total of 999 eligible patients with complete records were used for validation. Median follow-up among survivors was 37 months. The concordance index was 0.756 (95% confidence interval = 0.707 to 0.805), indicating continued discriminating power, but the calibration plot revealed that the nomogram overestimated recurrence risk. Recalibration of the nomogram by estimating a new baseline freedom-from-recurrence function restored the nomogram's accuracy.
CONCLUSION CONCLUSIONS
The updated nomogram retains the original nomogram's variables but includes a lower baseline estimation of recurrence risk, reflecting improvements in outcomes for all stages of colon cancer, likely resulting from advances in imaging and integration of multiple treatment modalities.

Identifiants

pubmed: 31119207
doi: 10.1093/jncics/pkz015
pii: pkz015
pmc: PMC6512350
doi:

Types de publication

Journal Article

Langues

eng

Pagination

pkz015

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States

Commentaires et corrections

Type : ErratumIn

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Auteurs

Tsuyoshi Konishi (T)

Department of Surgery , Memorial Sloan Kettering Cancer Center, New York, NY.
Department of Gastroenterological Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.

Yoshifumi Shimada (Y)

Department of Surgery , Memorial Sloan Kettering Cancer Center, New York, NY.
Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.

Meier Hsu (M)

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.

Iris H Wei (IH)

Department of Surgery , Memorial Sloan Kettering Cancer Center, New York, NY.

Emmanouil Pappou (E)

Department of Surgery , Memorial Sloan Kettering Cancer Center, New York, NY.

J Joshua Smith (JJ)

Department of Surgery , Memorial Sloan Kettering Cancer Center, New York, NY.

Garrett M Nash (GM)

Department of Surgery , Memorial Sloan Kettering Cancer Center, New York, NY.

José G Guillem (JG)

Department of Surgery , Memorial Sloan Kettering Cancer Center, New York, NY.

Philip B Paty (PB)

Department of Surgery , Memorial Sloan Kettering Cancer Center, New York, NY.

Julio Garcia-Aguilar (J)

Department of Surgery , Memorial Sloan Kettering Cancer Center, New York, NY.

Andrea Cercek (A)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Rona Yaeger (R)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Zsofia K Stadler (ZK)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Neil H Segal (NH)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Anna Varghese (A)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Leonard B Saltz (LB)

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

Jinru Shia (J)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.

Efsevia Vakiani (E)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY.

Mithat Gönen (M)

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.

Martin R Weiser (MR)

Department of Surgery , Memorial Sloan Kettering Cancer Center, New York, NY.

Classifications MeSH