A new prognostic and predictive tool for shared decision making in stage III colon cancer.


Journal

European journal of cancer (Oxford, England : 1990)
ISSN: 1879-0852
Titre abrégé: Eur J Cancer
Pays: England
ID NLM: 9005373

Informations de publication

Date de publication:
10 2020
Historique:
received: 02 04 2020
revised: 13 07 2020
accepted: 28 07 2020
pubmed: 7 9 2020
medline: 26 1 2021
entrez: 6 9 2020
Statut: ppublish

Résumé

Survival of patients with stage III colon cancer varies widely according to T-N sub-stages. Estimating the benefit of each therapeutic option in each T-N subgroup may provide more accurate information helping doctors and patients in the complex shared decision-making process surrounding adjuvant therapy. The outcomes data of 12,834 patients with stage III colon cancer enrolled in the IDEA trial served as our database. Patients were categorised in 16 sub-stages, based on T-N categories. We created a meta-regression model to predict the expected 5-year DFS within each T-N sub-stage. We then evaluated the efficacy of each therapeutic option in every sub-stage, working backward by subtraction, using an average of the HRs reported in pertinent trial publications as a conversion factor. Large differences in 5-year DFS rate were observed among the subgroups, ranging from 89% (T1N1a) to 31% (T4N2b) in the overall population. The contribution to the outcome of each therapeutic option in this setting varied widely across sub-stages. According to our model, patients with T1N1a cancers have a projected 5-year DFS of 79.6% with surgery alone. Adjuvant fluoropyrimidine alone results in 5.6% absolute DFS gain; an additional 2.3% and 0.8% gain is seen with oxaliplatin for 3 and 6 months, respectively. Patients with T4N2b cancers show a 13.9% 5-year DFS with surgery alone, and an 11.2%, 6.4%, 2.5% increase with the aforementioned adjuvant options, respectively. The resulting overlay bar graph gives patients and doctors the projected relative benefit of each treatment option and may substantially help the shared decision-making process, although caution must be exercised in using this model due to the significant variance of the estimates.

Sections du résumé

BACKGROUND
Survival of patients with stage III colon cancer varies widely according to T-N sub-stages. Estimating the benefit of each therapeutic option in each T-N subgroup may provide more accurate information helping doctors and patients in the complex shared decision-making process surrounding adjuvant therapy.
METHODS
The outcomes data of 12,834 patients with stage III colon cancer enrolled in the IDEA trial served as our database. Patients were categorised in 16 sub-stages, based on T-N categories. We created a meta-regression model to predict the expected 5-year DFS within each T-N sub-stage. We then evaluated the efficacy of each therapeutic option in every sub-stage, working backward by subtraction, using an average of the HRs reported in pertinent trial publications as a conversion factor.
RESULTS
Large differences in 5-year DFS rate were observed among the subgroups, ranging from 89% (T1N1a) to 31% (T4N2b) in the overall population. The contribution to the outcome of each therapeutic option in this setting varied widely across sub-stages. According to our model, patients with T1N1a cancers have a projected 5-year DFS of 79.6% with surgery alone. Adjuvant fluoropyrimidine alone results in 5.6% absolute DFS gain; an additional 2.3% and 0.8% gain is seen with oxaliplatin for 3 and 6 months, respectively. Patients with T4N2b cancers show a 13.9% 5-year DFS with surgery alone, and an 11.2%, 6.4%, 2.5% increase with the aforementioned adjuvant options, respectively.
CONCLUSION
The resulting overlay bar graph gives patients and doctors the projected relative benefit of each treatment option and may substantially help the shared decision-making process, although caution must be exercised in using this model due to the significant variance of the estimates.

Identifiants

pubmed: 32892120
pii: S0959-8049(20)30431-7
doi: 10.1016/j.ejca.2020.07.031
pii:
doi:

Substances chimiques

Antimetabolites, Antineoplastic 0
Oxaliplatin 04ZR38536J

Types de publication

Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

182-188

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest statement None to declare.

Auteurs

Alberto F Sobrero (AF)

Medical Oncology Unit 1, Ospedale Policlinico San Martino - IRCCS, Genoa, Italy. Electronic address: alberto.sobrero@hsanmartino.it.

Alberto Puccini (A)

Medical Oncology Unit 1, Ospedale Policlinico San Martino - IRCCS, Genoa, Italy.

Qian Shi (Q)

Department of Health Science Research, Mayo Clinic, Rochester, MN, USA.

Axel Grothey (A)

West Cancer Center and Research Institute, OneOncology, Germantown, TN, USA.

Thierry Andrè (T)

GERCOR Group, Sorbonne Université and Department of Medical Oncology, Hôpital St Antoine, Paris, France.

Anthony F Shields (AF)

Karmanos Cancer Institute, Detroit, MI, USA.

Ioannis Souglakos (I)

Department of Medical Oncology, University Hospital of Heraklion, Faculty of Medicine University of Crete, Greece.

Takayuki Yoshino (T)

National Cancer Center Hospital East, Japan.

Timothy Iveson (T)

University Hospital Southampton NHS Foundation Trust, Southampton, UK.

Marcello Ceppi (M)

Unit of Clinical Epidemiology, Ospedale Policlinico San Martino - IRCCS, Genoa, Italy.

Paolo Bruzzi (P)

Unit of Clinical Epidemiology, Ospedale Policlinico San Martino - IRCCS, Genoa, Italy.

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