Diagnostic Accuracy of Stool Tests for Colorectal Cancer Surveillance in Hodgkin Lymphoma Survivors.

Hodgkin lymphoma cancer survivors colorectal cancer early detection of cancer fecal immunochemical testing (FIT) multi-target stool test sensitivity and specificity

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
10 Jan 2020
Historique:
received: 12 12 2019
revised: 06 01 2020
accepted: 08 01 2020
entrez: 16 1 2020
pubmed: 16 1 2020
medline: 16 1 2020
Statut: epublish

Résumé

Hodgkin lymphoma (HL) survivors have an increased colorectal cancer (CRC) risk. Diagnostic accuracy of quantitative fecal immunochemical testing (FIT, OC Sensor) and/or a multi-target stool DNA test (mt-sDNA, Cologuard 101 HL survivors underwent a surveillance colonoscopy and were asked to perform two stool tests (FIT and mt-sDNA). Advanced adenoma (AA), advanced serrated lesion (ASL), and AN (AA, ASL, CRC) were evaluated. Sensitivity, specificity, and area under the curve (AUC) for AN were calculated for different FIT cut-offs and mt-sDNA with colonoscopy as reference. FIT and mt-sDNA were analyzed in 73 (72%) and 82 (81%) participants, respectively. AN was detected in 19 (26%) and 22 (27%), respectively. AN sensitivities for FIT cut-off of 10 ug Hb/g feces (FIT10) and mt-sDNA were 37% (95% confidence interval (CI): 16-62) and 68% (95% CI: 45-86), with corresponding specificities of 91% (95% CI: 80-97) and 70% (95% CI: 57-86), respectively. AUC for FIT was 0.68 (95% CI: 0.54-0.82) and for mt-sDNA 0.76 (95% CI: 0.63-0.89). In HL survivors, mt-sDNA showed highest sensitivity but with relatively low specificity for AN. Cost-effectiveness analyses is necessary to determine the optimal surveillance strategy.

Sections du résumé

BACKGROUND BACKGROUND
Hodgkin lymphoma (HL) survivors have an increased colorectal cancer (CRC) risk. Diagnostic accuracy of quantitative fecal immunochemical testing (FIT, OC Sensor) and/or a multi-target stool DNA test (mt-sDNA, Cologuard
METHODS METHODS
101 HL survivors underwent a surveillance colonoscopy and were asked to perform two stool tests (FIT and mt-sDNA). Advanced adenoma (AA), advanced serrated lesion (ASL), and AN (AA, ASL, CRC) were evaluated. Sensitivity, specificity, and area under the curve (AUC) for AN were calculated for different FIT cut-offs and mt-sDNA with colonoscopy as reference.
RESULTS RESULTS
FIT and mt-sDNA were analyzed in 73 (72%) and 82 (81%) participants, respectively. AN was detected in 19 (26%) and 22 (27%), respectively. AN sensitivities for FIT cut-off of 10 ug Hb/g feces (FIT10) and mt-sDNA were 37% (95% confidence interval (CI): 16-62) and 68% (95% CI: 45-86), with corresponding specificities of 91% (95% CI: 80-97) and 70% (95% CI: 57-86), respectively. AUC for FIT was 0.68 (95% CI: 0.54-0.82) and for mt-sDNA 0.76 (95% CI: 0.63-0.89).
CONCLUSIONS CONCLUSIONS
In HL survivors, mt-sDNA showed highest sensitivity but with relatively low specificity for AN. Cost-effectiveness analyses is necessary to determine the optimal surveillance strategy.

Identifiants

pubmed: 31936745
pii: jcm9010190
doi: 10.3390/jcm9010190
pmc: PMC7019558
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Maag Lever Darm Stichting
ID : FP 14-04

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Auteurs

Berbel Ykema (B)

Department of Gastroenterology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.

Lisanne Rigter (L)

Department of Gastroenterology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.

Manon Spaander (M)

Department of Gastroenterology and Hepatology, Erasmus MC, University Medical Center, 3015 GD Rotterdam, The Netherlands.

Leon Moons (L)

Department of Gastroenterology and Hepatology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.

Tanya Bisseling (T)

Department of Gastroenterology and Hepatology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.

Berthe Aleman (B)

Department of Radiation Oncology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.

Jan Paul de Boer (JP)

Department of Medical Oncology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.

Pieternella Lugtenburg (P)

Department of Hematology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.

Cecile Janus (C)

Department of Radiation Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.

Eefke Petersen (E)

Department of Hematology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.

Judith Roesink (J)

Department of Radiation Oncology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.

John Raemaekers (J)

Department of Hematology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.

Richard van der Maazen (R)

Department of Radiation Oncology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.

Iris Lansdorp-Vogelaar (I)

Department of Public Health, Erasmus MC, 3015 GD Rotterdam, The Netherlands.

Andrea Gini (A)

Department of Public Health, Erasmus MC, 3015 GD Rotterdam, The Netherlands.

Wieke Verbeek (W)

Department of Gastroenterology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.

Margriet Lemmens (M)

Department of Pathology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.

Gerrit Meijer (G)

Department of Pathology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.

Flora van Leeuwen (F)

Department of Epidemiology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.

Petur Snaebjornsson (P)

Department of Pathology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.

Beatriz Carvalho (B)

Department of Pathology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.

Monique van Leerdam (M)

Department of Gastroenterology, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Department of Gastroenterology and Hepatology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.

Classifications MeSH