Performances of preoperative CT scan to predict the pTN stage for MSI/dMMR localized colon cancers.

MSI/dMMR colon cancer immune checkpoint inhibitor neoadjuvant therapy preoperative staging

Journal

ESMO open
ISSN: 2059-7029
Titre abrégé: ESMO Open
Pays: England
ID NLM: 101690685

Informations de publication

Date de publication:
14 Aug 2024
Historique:
received: 28 05 2024
revised: 18 07 2024
accepted: 22 07 2024
medline: 16 8 2024
pubmed: 16 8 2024
entrez: 15 8 2024
Statut: aheadofprint

Résumé

Neoadjuvant immunotherapy emerges as a promising strategy for patients with localized colon cancer (CC) harboring microsatellite instability/mismatch repair deficiency (MSI/dMMR). The aim of this study is to evaluate the concordance between clinical cTN stage assessed by preoperative computed tomography (CT) scan and pTN stage of MSI/dMMR CC. Consecutive patients diagnosed for localized MSI/dMMR CC and treated with upfront surgery between 2013 and 2022 in two French centers were eligible. Two independent radiologists, blinded to pathological findings, reviewed all preoperative CT scans and assessed cTN stage, with a third radiologist reviewing discordant cases. Radiological predictive diagnostic accuracy for pT4 and pN+ (N+ = N1 or N2) were calculated. One hundred and thirteen patients were included (right CCs = 79%). CT scan diagnostic performances for pT4 were sensitivity (Se) = 33.3%; specificity (Sp) = 94.0%; positive predictive value (PPV) = 66.7%; and negative predictive value (NPV) = 79.6% and for pN+ were Se = 70.3%; Sp = 59.2%; PPV = 45.6%; and NPV = 80.4%. When pT-pN were combined, 37.5% of tumors identified as cT4 and/or cN+ were actually pT1-3 and pN0, and 23.1% of the pT4 and pN+ population was not identified as such radiologically. The ability of preoperative CT scan to predict pT and pN stages is limited for localized MSI/dMMR CCs. Reassessing neoadjuvant strategies' benefit-risk balance in this population is needed.

Sections du résumé

BACKGROUND BACKGROUND
Neoadjuvant immunotherapy emerges as a promising strategy for patients with localized colon cancer (CC) harboring microsatellite instability/mismatch repair deficiency (MSI/dMMR). The aim of this study is to evaluate the concordance between clinical cTN stage assessed by preoperative computed tomography (CT) scan and pTN stage of MSI/dMMR CC.
PATIENTS AND METHODS METHODS
Consecutive patients diagnosed for localized MSI/dMMR CC and treated with upfront surgery between 2013 and 2022 in two French centers were eligible. Two independent radiologists, blinded to pathological findings, reviewed all preoperative CT scans and assessed cTN stage, with a third radiologist reviewing discordant cases. Radiological predictive diagnostic accuracy for pT4 and pN+ (N+ = N1 or N2) were calculated.
RESULTS RESULTS
One hundred and thirteen patients were included (right CCs = 79%). CT scan diagnostic performances for pT4 were sensitivity (Se) = 33.3%; specificity (Sp) = 94.0%; positive predictive value (PPV) = 66.7%; and negative predictive value (NPV) = 79.6% and for pN+ were Se = 70.3%; Sp = 59.2%; PPV = 45.6%; and NPV = 80.4%. When pT-pN were combined, 37.5% of tumors identified as cT4 and/or cN+ were actually pT1-3 and pN0, and 23.1% of the pT4 and pN+ population was not identified as such radiologically.
CONCLUSION CONCLUSIONS
The ability of preoperative CT scan to predict pT and pN stages is limited for localized MSI/dMMR CCs. Reassessing neoadjuvant strategies' benefit-risk balance in this population is needed.

Identifiants

pubmed: 39146669
pii: S2059-7029(24)01447-9
doi: 10.1016/j.esmoop.2024.103678
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103678

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Auteurs

M Duval (M)

Sorbonne Université, Service d'Oncologie Médicale, Hôpital Saint Antoine, AP-HP, INSERM UMRS 938, Centre de Recherche Saint-Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, SIRIC CURAMUS, Paris. Electronic address: martin.duval@aphp.fr.

Q Vanderbecq (Q)

Sorbonne Université, Service de Radiologie, Hôpital Saint Antoine, APHP, Laboratoire d'Imagerie Biomédicale, UMR 7371, UMR S 1146, Paris.

V Phou (V)

Sorbonne Université, Service d'Imagerie (SISU), Hôpital Pitié Salpêtrière, APHP, Laboratoire d'Imagerie Biomédicale, UMR 7371, UMR_S 1146, Paris.

B Cervantes (B)

Sorbonne Université, Service d'Oncologie Médicale, Hôpital Saint Antoine, AP-HP, INSERM UMRS 938, Centre de Recherche Saint-Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, SIRIC CURAMUS, Paris.

L Mas (L)

Sorbonne Université, Service d'Hépato-gastroentérologie et Oncologie Digestive, Hôpital Pitié Salpêtrière, APHP, Paris.

J-B Bachet (JB)

Sorbonne Université, Service d'Hépato-gastroentérologie et Oncologie Digestive, Hôpital Pitié Salpêtrière, APHP, Paris.

C Goumard (C)

Sorbonne Université, Service de Chirurgie Digestive, Hépatobiliaire et Transplantation Hépatique, Hôpital Pitié Salpêtrière, Centre de Recherche Saint-Antoine, INSERM UMR S-938, Paris.

Y Parc (Y)

Sorbonne Université, Service de Chirurgie Générale et Digestive, Hôpital Saint-Antoine, AP-HP, INSERM UMRS 938, Centre de Recherche Saint-Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, SIRIC CURAMUS, Paris, France.

T André (T)

Sorbonne Université, Service d'Oncologie Médicale, Hôpital Saint Antoine, AP-HP, INSERM UMRS 938, Centre de Recherche Saint-Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, SIRIC CURAMUS, Paris.

J H Lefèvre (JH)

Sorbonne Université, Service de Chirurgie Générale et Digestive, Hôpital Saint-Antoine, AP-HP, INSERM UMRS 938, Centre de Recherche Saint-Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, SIRIC CURAMUS, Paris, France.

O Lucidarme (O)

Sorbonne Université, Service d'Imagerie (SISU), Hôpital Pitié Salpêtrière, APHP, Laboratoire d'Imagerie Biomédicale, UMR 7371, UMR_S 1146, Paris.

L Arrivé (L)

Sorbonne Université, Service de Radiologie, Hôpital Saint Antoine, APHP, Laboratoire d'Imagerie Biomédicale, UMR 7371, UMR S 1146, Paris.

R Cohen (R)

Sorbonne Université, Service d'Oncologie Médicale, Hôpital Saint Antoine, AP-HP, INSERM UMRS 938, Centre de Recherche Saint-Antoine, Equipe Instabilité des Microsatellites et Cancer, Equipe labellisée par la Ligue Nationale contre le Cancer, SIRIC CURAMUS, Paris.

M Wagner (M)

Sorbonne Université, Service d'Imagerie (SISU), Hôpital Pitié Salpêtrière, APHP, Laboratoire d'Imagerie Biomédicale, UMR 7371, UMR_S 1146, Paris.

Classifications MeSH