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Relevance of Molecular Profiling in Patients With Low-Grade Endometrial Cancer

Vrede Stephanie W; Kasius Jenneke; Bulten Johan; Teerenstra Steven; Huvila Jutta; Colas Eva; Gil-Moreno Antonio; Boll Dorry; Vos Maria Caroline; van Altena Anne M; Asberger Jasmin; Sweegers Sanne; van Weelden Willem Jan; van der Putten Louis JM; Amant Frédéric; Visser Nicole CM; Snijders Marc PLM; Küsters-Vandevelde Heidi VN; Kruitwagen Roy; Matias-Guiu Xavier; Weinberger Vit; Reijnen Casper; Pijnenborg Johanna MA

Relevance of Molecular Profiling in Patients With Low-Grade Endometrial Cancer

Vrede Stephanie W
Kasius Jenneke
Bulten Johan
Teerenstra Steven
Huvila Jutta
Colas Eva
Gil-Moreno Antonio
Boll Dorry
Vos Maria Caroline
van Altena Anne M
Asberger Jasmin
Sweegers Sanne
van Weelden Willem Jan
van der Putten Louis JM
Amant Frédéric
Visser Nicole CM
Snijders Marc PLM
Küsters-Vandevelde Heidi VN
Kruitwagen Roy
Matias-Guiu Xavier
Weinberger Vit
Reijnen Casper
Pijnenborg Johanna MA
Katso/Avaa
vrede_2022_oi_221338_1670604868.47669.pdf (861.3Kb)
Lataukset: 

Jama Network
doi:10.1001/jamanetworkopen.2022.47372
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe202301183447
Tiivistelmä

Importance: Patients with low-grade (ie, grade 1-2) endometrial cancer (EC) are characterized by their favorable prognosis compared with patients with high-grade (ie, grade 3) EC. With the implementation of molecular profiling, the prognostic relevance of tumor grading might lose attention. As most patients present with low-grade EC and have an excellent outcome, the value of molecular profiling for these patients is unclear.

Objective: To determine the association of molecular profiling with outcomes among patients with low-grade EC.

Design, setting, and participants: This retrospective cohort study included a multicenter international European cohort of patients diagnosed with EC between 1994 and 2018, with a median follow-up of 5.9 years. Molecular subgroups were determined by next-generation sequencing using single-molecule molecular inversion probes and by immunohistochemistry. Subsequently, tumors were classified as polymerase epsilon (POLE)-altered, microsatellite instable (MSI), tumor protein p53 (TP53)-altered, or no specific molecular profile (NSMP). Patients diagnosed with any histological subtypes and FIGO (International Federation of Gynecology and Obstetrics) stages of EC were included, but patients with early-stage EC (FIGO I-II) were only included if they had known lymph node status. Data were analyzed February 20 to June 16, 2022.

Exposures: Molecular testing of the 4 molecular subgroups.

Main outcomes and measures: The main outcome was disease-specific survival (DSS) within the molecular subgroups.

Results: A total of 393 patients with EC were included, with a median (range) age of 64.0 (31.0-86.0) years and median (range) body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) of 29.1 (18.0-58.3). Most patients presented with early-stage (290 patients [73.8%]) and low-grade (209 patients [53.2%]) disease. Of all patients, 33 (8.4%) had POLE-altered EC, 78 (19.8%) had MSI EC, 72 (18.3%) had TP53-altered EC, and 210 (53.4%) had NSMP EC. Across all molecular subgroups, patients with low-grade EC had superior 5-year DSS compared with those with high-grade EC, varying between 90% to 100% vs 41% to 90% (P < .001). Multivariable analysis in the entire cohort including age, tumor grade, FIGO stage, lymphovascular space invasion, and the molecular subgroups as covariates found that only high-grade (hazard ratio [HR], 4.29; 95% CI, 2.15-8.53; P < .001), TP53-altered (HR, 1.76; 95% CI, 1.04-2.95; P = .03), and FIGO stage III or IV (HR, 4.26; 95% CI, 2.50-7.26; P < .001) disease were independently associated with reduced DSS.

Conclusions and relevance: This cohort study found that patients with low-grade EC had an excellent prognosis independent of molecular subgroup. These findings do not support routine molecular profiling in patients with low-grade EC, and they demonstrate the importance of primary diagnostic tumor grading and selective profiling in low-grade EC to increase cost-effectiveness.

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